diff --git a/.github/workflows/tests.yml b/.github/workflows/tests.yml index b954a1cc5..95295ac26 100644 --- a/.github/workflows/tests.yml +++ b/.github/workflows/tests.yml @@ -38,6 +38,9 @@ jobs: matrix: include: - {python: "3.11", shard: 0} + - {python: "3.11", shard: 1} + - {python: "3.11", shard: 2} + - {python: "3.11", shard: 3} - {python: "3.12", shard: 0} - {python: "3.12", shard: 1} - {python: "3.12", shard: 2} @@ -68,33 +71,23 @@ jobs: if: matrix.python == '3.12' && matrix.shard == 0 run: python scripts/check_lint.py - name: Test numerical kernels and experiment workflows - if: matrix.python == '3.12' run: >- python scripts/ci_pytest.py run --index ${{ matrix.shard }} --count 4 - --receipt /tmp/pytest-shard-${{ matrix.shard }}.json -- - -q --durations=25 -o faulthandler_timeout=600 - --ignore=tests/test_e22_routed_caption_late_phase_renderer.py - # The minimum supported Python runs one deterministic quarter of the same - # suite. Its receipt stays local: release coverage is checked on 3.12. - - name: Test one suite shard on the minimum supported Python - if: matrix.python == '3.11' - run: >- - python scripts/ci_pytest.py run --index ${{ matrix.shard }} --count 4 - --receipt /tmp/pytest-py311-shard-${{ matrix.shard }}.json -- + --receipt /tmp/pytest-${{ matrix.python }}-shard-${{ matrix.shard }}.json -- -q --durations=25 -o faulthandler_timeout=600 --ignore=tests/test_e22_routed_caption_late_phase_renderer.py - name: Save collection coverage receipt - if: always() && matrix.python == '3.12' + if: always() uses: actions/upload-artifact@v4 with: - name: pytest-shard-${{ matrix.shard }} - path: /tmp/pytest-shard-${{ matrix.shard }}.json + name: pytest-${{ matrix.python }}-shard-${{ matrix.shard }} + path: /tmp/pytest-${{ matrix.python }}-shard-${{ matrix.shard }}.json if-no-files-found: error - name: Test bounded late-phase renderer in a fresh process - if: matrix.python == '3.12' && matrix.shard == 0 + if: matrix.shard == 0 run: timeout --signal=INT --kill-after=5s 60s python -m pytest -q tests/test_e22_routed_caption_late_phase_renderer.py - name: Exercise the complete Lunar pipeline and GIF exports - if: matrix.python == '3.11' + if: matrix.python == '3.11' && matrix.shard == 0 env: SDL_VIDEODRIVER: dummy run: python -u examples/fast_lander.py --smoke --out /tmp/lunar-smoke @@ -217,9 +210,42 @@ jobs: PY /tmp/particlegan-base-env/bin/python -m particlegan_forge --help + minimum-base: + name: Minimum base dependencies / Python 3.11 + if: >- + github.event_name != 'workflow_dispatch' || + github.ref == 'refs/heads/develop' || + github.ref == 'refs/heads/master' + runs-on: ubuntu-latest + timeout-minutes: 15 + env: + CUDA_VISIBLE_DEVICES: "" + OMP_NUM_THREADS: "1" + MKL_NUM_THREADS: "1" + steps: + - uses: actions/checkout@v4 + with: + ref: ${{ inputs.source_ref || github.sha }} + - uses: actions/setup-python@v5 + with: + python-version: "3.11" + - name: Install exact minimum base versions + run: | + python -m pip install 'torch==2.6.0' --index-url https://download.pytorch.org/whl/cpu + python -m pip install 'numpy==1.26.0' + - name: Build and install the base wheel without experiment extras + run: | + python -m pip wheel --no-deps . --wheel-dir /tmp/minimum-wheel + python -m pip install --no-deps /tmp/minimum-wheel/*.whl + python -m pip check + cp scripts/base_compatibility_smoke.py /tmp/particlegan-minimum-smoke.py + - name: Check public API and exact checkpoint continuation outside checkout + working-directory: /tmp + run: python /tmp/particlegan-minimum-smoke.py + distributions: name: Build release distributions - needs: [cpu-tests, base-wheel] + needs: [cpu-tests, base-wheel, minimum-base] runs-on: ubuntu-latest timeout-minutes: 10 steps: @@ -233,11 +259,13 @@ jobs: run: python -m pip install build twine - uses: actions/download-artifact@v4 with: - pattern: pytest-shard-* + pattern: pytest-*-shard-* path: /tmp/pytest-shards merge-multiple: true - name: Require complete nonoverlapping regression coverage - run: python scripts/ci_pytest.py check /tmp/pytest-shards/*.json + run: | + python scripts/ci_pytest.py check /tmp/pytest-shards/pytest-3.11-shard-*.json + python scripts/ci_pytest.py check /tmp/pytest-shards/pytest-3.12-shard-*.json - name: Build source archive and wheel run: python -m build - name: Keep research artifacts outside release distributions @@ -247,17 +275,39 @@ jobs: import tarfile import zipfile + max_bytes = 600_000 for wheel in Path('dist').glob('*.whl'): + assert wheel.stat().st_size < max_bytes, wheel.stat().st_size with zipfile.ZipFile(wheel) as archive: - roots = {name.split('/')[0] for name in archive.namelist()} + names = archive.namelist() + roots = {name.split('/')[0] for name in names} + license_path = next(name for name in names if name.endswith('.dist-info/licenses/LICENSE')) + assert archive.read(license_path) == Path('LICENSE').read_bytes() + metadata_path = next(name for name in names if name.endswith('.dist-info/METADATA')) + metadata = archive.read(metadata_path).decode() + assert 'License-Expression: MIT' in metadata + assert 'License-File: LICENSE' in metadata # particlegan_forge is the documented external tier API (EXPERIMENTATION.md). packages = {'particlegan', 'particlegan_forge'} assert all(root in packages or root.endswith('.dist-info') for root in roots), roots - research = {'reports', 'results', 'experiments', 'benchmarks', 'lib', 'configs', 'data', 'runs', 'artifacts'} + excluded = { + 'tests', 'reports', 'results', 'experiments', 'benchmarks', 'lib', + 'configs', 'data', 'runs', 'artifacts', 'docs', 'examples', 'ops', 'scripts', + } + allowed_sdist_roots = { + 'LICENSE', 'MANIFEST.in', 'PKG-INFO', 'README.md', + 'particlegan', 'particlegan.egg-info', 'particlegan_forge', + 'pyproject.toml', 'setup.cfg', + } for source in Path('dist').glob('*.tar.gz'): + assert source.stat().st_size < max_bytes, source.stat().st_size with tarfile.open(source) as archive: - roots = {parts[1] for name in archive.getnames() if len(parts := name.split('/')) > 1} - assert not roots & research, roots & research + names = archive.getnames() + roots = {parts[1] for name in names if len(parts := name.split('/')) > 1} + license_path = next(name for name in names if name.count('/') == 1 and name.endswith('/LICENSE')) + assert archive.extractfile(license_path).read() == Path('LICENSE').read_bytes() + assert not roots & excluded, roots & excluded + assert roots <= allowed_sdist_roots, roots - allowed_sdist_roots PY - name: Validate package metadata and README run: python -m twine check --strict dist/* diff --git a/.gitignore b/.gitignore index 008feef3e..d7a3b47ed 100644 --- a/.gitignore +++ b/.gitignore @@ -161,3 +161,4 @@ dist/ runs/prior-coulomb/ /runs/prior-mmd/ /runs/test_m3/ +/TODO.md diff --git a/.ruff-baseline.json b/.ruff-baseline.json index ed3c07643..19b35956c 100644 --- a/.ruff-baseline.json +++ b/.ruff-baseline.json @@ -46,21 +46,11 @@ "`benchmarks.legacy.recipe.get_recipe` imported but unused": 1 } }, - "benchmarks/toy_audit/api_gaussian1d.py": { - "F401": { - "`.gaussian1d_quality` imported but unused": 1 - } - }, "benchmarks/toy_audit/api_model_ae_ddgan.py": { "F401": { "`.api_model_ddgan.task_recipe` imported but unused": 1 } }, - "benchmarks/toy_audit/api_run.py": { - "F401": { - "`textwrap` imported but unused": 1 - } - }, "benchmarks/toy_audit/api_sources/circle.py": { "F401": { "`torch.nn.functional` imported but unused": 1, @@ -89,11 +79,6 @@ "`copy.deepcopy` imported but unused": 1 } }, - "benchmarks/toy_audit/prior_proximal_smoke.py": { - "F821": { - "Undefined name `restored`": 1 - } - }, "benchmarks/toy_audit/proposal.py": { "F841": { "Local variable `result` is assigned to but never used": 1 @@ -232,16 +217,6 @@ "`benchmarks.legacy.recipe.get_recipe` imported but unused": 1 } }, - "examples/e22_routed_caption_late_phase.py": { - "F821": { - "Undefined name `p`": 1 - } - }, - "examples/e22_routed_caption_untied.py": { - "F821": { - "Undefined name `p`": 1 - } - }, "examples/e22_routed_g_clean.py": { "F402": { "Import `time` from an earlier line shadowed by loop variable": 1 @@ -309,11 +284,6 @@ "`collections.defaultdict` imported but unused": 1 } }, - "experiments/forge/runtime.py": { - "F401": { - "`os` imported but unused": 1 - } - }, "experiments/forge/scaling_profile.py": { "F401": { "`.contracts.stable_hash` imported but unused": 1 @@ -532,7 +502,7 @@ }, "F811": { "Redefinition of unused `checkout` from an earlier line: `checkout` redefined here": 5, - "Redefinition of unused `spec` from an earlier line: `spec` redefined here": 5 + "Redefinition of unused `spec` from an earlier line: `spec` redefined here": 4 } }, "tests/test_forge_dispositions.py": { @@ -550,7 +520,7 @@ }, "F811": { "Redefinition of unused `checkout` from an earlier line: `checkout` redefined here": 6, - "Redefinition of unused `spec` from an earlier line: `spec` redefined here": 4 + "Redefinition of unused `spec` from an earlier line: `spec` redefined here": 3 } }, "tests/test_forge_family_documentation.py": { diff --git a/AGENTS.md b/AGENTS.md index 687ccc69a..85e68ac90 100644 --- a/AGENTS.md +++ b/AGENTS.md @@ -40,6 +40,49 @@ sampling law. Check these against the qualified evidence before attributing a failure to a formulation change. Clean and noisy served results are separate cohorts; matching training settings alone does not make their gates comparable. +**A faithful numerical FAIL is better evidence than a PASS obtained by changing +the formula.** Keep these boundaries explicit in implementation, tests and reports: + +- The recipe owns every training update and intervention, including prior moves, + gradient transformations, controllers, regularizers and noise. Task hosts must + not add cluster fitting, particle placement, weight resets, auxiliary solvers, + surrogate gradients or other post-optimizer repairs to make a recipe pass. + A useful new mechanism needs its own public recipe capability, declared delta + and evidence identity before comparison. +- Execute the exact resolved recipe. Never substitute a different preset, + schedule, prior, guard or noise policy to accommodate a host. Implement the + missing capability or report BLOCKED; do not silently drop the mechanism. +- Evaluate the object and law named by the question: a neural-imputer test must + call that neural imputer; no-posterior-resampling means no fallback to posterior + resampling. Live, EMA, averaged and clean/noisy serving are separate contracts. + Record the observed sampler and resolved recipe, not just the requested labels. +- Architecture and initialization belong to the task. Imports must not replace + shared model classes or change constructor defaults. Normalized, scaled, + identity-initialized and assisted variants need explicit separate task/cohort + identities. Custom backward functions must implement their declared derivative; + a surrogate update is a recipe mechanism, not an invisible architecture repair. +- Checkpoint every behavior-changing state and consumed RNG stream, including + host caches, control flags, penalty clocks and actual EMA histories. Verify + continuation in a fresh object/process across mechanism activation boundaries; + reject incompatible old checkpoints rather than reconstructing missing history. +- Keep numerical FAIL distinct from BLOCKED, ERROR, INVALID, INCOMPLETE, TIMEOUT + and unmeasured outcomes. A negative eligibility decision is not a numerical + failure. Diagnostic, assisted, adapted or incompatible-source results cannot + fill ordinary qualification or a selected recipe's matched comparison cells. +- Preserve affected historical receipts byte for byte. Publish explicit, + source-bound scope corrections instead of rewriting old grades or presenting + old assisted passes as evidence for a corrected implementation. Keep one + current leaderboard and derive its current explanations from the same records. +- Add semantic controls that would detect the wrong formula or evaluator: + forbidden-fallback checks, deliberate damage to the measured model, fresh-process + import-order checks and exact continuation checks. Passing software tests, an + oracle witness or a training GIF does not itself establish learned quality. + +Scientific superiority and default adoption also require accepted compatible +calibration and independent confirmation. Keep unequal tuning budgets, selection +tasks, untouched task-level holdouts and unresolved uncertainty visible; never +manufacture calibration acceptance or run seed-only searches to improve a score. + Toy tests must follow the [public-API test contract](reports/toy_audit/api_contract/README.md): execute through the ParticleGAN API, declare a numerical pass/fail metric, and provide an actual-training GIF that illustrates the test's goal. Reform an @@ -50,3 +93,4 @@ Each agent can queue experiments on the GPUs without waiting for it to be free. --- develop->master PR should always exist and have a link to the up to date https://github.com/255BITS/ParticleGAN/blob/develop/reports/forge/technique-inventory.md +master should always reflect whats in pypi diff --git a/CHANGELOG.md b/CHANGELOG.md index 78f7ce9de..80bcb866b 100644 --- a/CHANGELOG.md +++ b/CHANGELOG.md @@ -1,7 +1,31 @@ # Changelog -## Unreleased - +## 0.9.8 — 2026-11-09 + +- **Tiny PyPI source distribution (`sdist`) and strict distribution gates.** + Prune non-package trees (`tests`, `reports`, `results`, `experiments`, + `benchmarks`, `lib`, `configs`, `data`, `runs`, `artifacts`, `docs`, + `examples`, `ops`, `scripts`) and workspace files via `MANIFEST.in`, + shrinking `particlegan-0.9.8.tar.gz` from `1.7 MB` (`7.14 MB` uncompressed) + to `~343 KiB` (`~373 KiB` wheel) and enforcing `< 600 KB` byte-size and root + allowlists in CI and packaging tests. +- **Reviewed model objectives, pre-subtraction `NaN` masking, and public exports.** + Export `conditional_energy_score`, `joint_reconstruction_loss`, + `masked_mixture_nll`, `NeuralComponentImputer`, `masked_quantile_transport_loss`, + `EmulatedLinear`, and `emulate_linear_training_` from top-level `particlegan`. + Mask `observed` via `torch.where` before subtracting `components` in + `masked_mixture_nll` so unobserved `NaN` entries cannot contaminate gradients + when `observed.requires_grad` is `True`. +- **Formula-faithful recipe admission, independent critic histories, and provenance.** + Enforce formula-faithful admission across vector, BiGAN, DDGAN, VAE-GAN, and + MisGAN hosts (including rejecting unsupported `model="ddgan"` and + `training_precision="bf16_channels_last"` settings on MisGAN hosts before + optimizer construction and isolating independent MisGAN critic histories), + separate faithful numerical `FAIL` from `BLOCKED`/`INCOMPLETE`/`UNMEASURED` + outcomes, and preserve byte-exact historical receipts with ancestral + source-binding verification + ([integration scope](reports/forge/reviewed-pr-integration-20261109/README.md), + [audit](reports/gpt-audit-2026-11-08.md)). - **Exact trainer checkpoint continuation with gradient response.** Save, validate and restore gradient-coherence history when enabled, preserving the next update in fresh and previously used trainers. Reject older enabled-response diff --git a/EXPERIMENTATION.md b/EXPERIMENTATION.md index 994fc4626..679916ebd 100644 --- a/EXPERIMENTATION.md +++ b/EXPERIMENTATION.md @@ -160,6 +160,16 @@ per-mode moments before another supported, bounded training hypothesis. No automatic matrix filling, tuning, seed study, continuation or promotion follows. The history, recall, compile, validate, and board commands launch no training. +The alternate `ops/formulaic_coverage.py` executor is retired after the +[2026-11-08 scientific audit](reports/gpt-audit-2026-11-08.md). It changed +recipes and host update rules outside ordinary admission. Its old receipts +remain source-bound diagnostic evidence; a reporting refresh must not repeat +them or use them to qualify a corrected implementation. Use the frozen-study +workflow above for new measurements. An unsupported public adapter remains +BLOCKED, and a correctly measured numerical FAIL remains FAIL. The ownership, +sampler, architecture and continuation boundaries in [AGENTS.md](AGENTS.md) +apply to every execution path, including coverage diagnostics. + Recall includes source-bound concluded configuration and policy publications as non-qualifying summaries. It returns compact source identity pins and a file count by default. Add `recall --full-provenance` when the complete source-file diff --git a/LICENSE b/LICENSE new file mode 100644 index 000000000..f06bd6987 --- /dev/null +++ b/LICENSE @@ -0,0 +1,21 @@ +MIT License + +Copyright (c) 2025-2026 Martyn Garcia + +Permission is hereby granted, free of charge, to any person obtaining a copy +of this software and associated documentation files (the "Software"), to deal +in the Software without restriction, including without limitation the rights +to use, copy, modify, merge, publish, distribute, sublicense, and/or sell +copies of the Software, and to permit persons to whom the Software is +furnished to do so, subject to the following conditions: + +The above copyright notice and this permission notice shall be included in all +copies or substantial portions of the Software. + +THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR +IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, +FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE +AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER +LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, +OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE +SOFTWARE. diff --git a/MANIFEST.in b/MANIFEST.in new file mode 100644 index 000000000..a2bedd00a --- /dev/null +++ b/MANIFEST.in @@ -0,0 +1,20 @@ +prune tests +prune reports +prune results +prune experiments +prune benchmarks +prune lib +prune configs +prune data +prune runs +prune artifacts +prune docs +prune examples +prune ops +prune scripts +exclude .ruff-baseline.json +exclude AGENTS.md +exclude CLAUDE.md +exclude EXPERIMENTATION.md +exclude RESEARCH_GLOSSARY.md +exclude TODO.md diff --git a/README.md b/README.md index efaade5b3..0af28551b 100644 --- a/README.md +++ b/README.md @@ -17,7 +17,7 @@ critic penalty and prior regularizer. Requires Python 3.11+. PyTorch and NumPy are installed as dependencies. ```bash -python -m pip install particlegan # the library (0.9.7) +python -m pip install particlegan # the library (0.9.8) ``` To run the examples, experiments and tests, install from source with the extras you need: @@ -128,6 +128,17 @@ What the evidence does and does not show today: gaps are inside the run's own checkpoint-to-checkpoint and rerun noise (up to 9.4 FID5k between same-config reruns), so no image-scale prior effect is established. +- **BISPF shape/step-gate ablation (`bispf_shape_gates=False`).** In the same + [2026-10-25 ablation study](reports/prior-ablation-2026-10-25/README.md) (Arm A4, + `bispf-pure-global-v1`), disabling all 10 shape/step gates in `BISPFGates` drops + full-suite passes from **19/49 to 13/49** (and from **7/15 to 5/15** on the matched + sampled-latent subset), losing `ring16_acquisition` (reaches `hq = 0.958` at the + endpoint but only 2/5 consecutive stable checks), `mode_hold` (7/8 modes), + `ring_extension` and `img_stripes2`. For wide continuous vectors (`dim >= 170`) where + only the automatic categorical simplex heuristic is unwanted, pass + `penalty_options={"input_domain": "continuous"}` to `GANTrainer` (or + `recipe.make_critic_penalty(opt_d, input_domain="continuous")`) as documented in + [BISPF input domains](docs/bispf-input-domains.md). - **Headline numbers below are single runs** without error bars, unless a linked report says otherwise. @@ -245,6 +256,7 @@ transport their parent's Adam history at half mass. ## Learn more - [Optimized BISPF settings and measured behavior](reports/forge/bispf-optimized/README.md) +- [BISPF continuous vs. categorical input domains](docs/bispf-input-domains.md): explicit penalty domain declarations (`input_domain="continuous"` or `"categorical"`) for wide continuous vectors (`dim >= 170`) and categorical codebooks - [Historical KA2 formulation](docs/ka2.md), including several critics and conditional critics - [E22](docs/e22.md): a schedule-free configuration for the native 100-Gaussian problems with no data-space statistics - [ParticleGAN Atlas](docs/atlas.md): illustrated E22 comparison, local population corrections and automatic backend selection diff --git a/benchmarks/toy_audit/api_conditionals.py b/benchmarks/toy_audit/api_conditionals.py index 000673c4a..e1fd99acd 100644 --- a/benchmarks/toy_audit/api_conditionals.py +++ b/benchmarks/toy_audit/api_conditionals.py @@ -9,17 +9,18 @@ from .reproducibility import DEFAULT_SEED, construction_rng -from copy import copy, deepcopy +from copy import deepcopy import math +from functools import wraps import numpy as np import torch from torch import nn from torch.nn import functional as F -from particlegan import MoGParticlePrior, get_recipe, init, scale_learning_rates +from particlegan import MoGParticlePrior, ParticlePrior, get_recipe, init, scale_learning_rates from particlegan.optim.constraint_geometry import constraint_geometry_backward -from particlegan.priors import ManipulatedPrior, unwrap_prior +from particlegan.priors import ManipulatedPrior, NormalNoiseManipulator, unwrap_prior from lib.sparse_toy import SparseMixedToy from lib.denoising_toy import GaussianGrid from lib.trajectory import Routes @@ -28,6 +29,7 @@ from benchmarks.toy_audit.api_sources import circle, sprite, misgan VERSION = "conditional-api-v1" +MISGAN_VERSION = "misgan-api-v2-formula-faithful" EVAL_SEED = 99123 @@ -124,6 +126,14 @@ def _definition(name, legacy, title, goal, steps, *, kind="paired", thresholds=N ] for _row in _CASES: if _row["id"].startswith(("api-mask-","api-posterior-","api-misgan-")): _row["eval_samples"]=4096 + if _row["id"].startswith("api-misgan-"): + # Preserve the standalone host's actual implementation identity: a + # cloud has zero storage width; its explicit normal transform supplies + # sampling noise. This is not the Forge positive-width MoG cohort. + _row["initial_prior"] = dict( + kind="particle_cloud", sigma=0., standardize=False, init_std=1., + initializer="deterministic_orthogonal", sampling="uniform_with_replacement", + transform=dict(kind="normal_noise", sigma=.025, kappa_radial=1.)) if _row["id"] in ("api-misgan-mcar-p50-recovery", "api-misgan-mcar-p80-anchored"): _row["batch_size"] = 512 _row["default_recipe"] = "bispf" @@ -1297,6 +1307,31 @@ def forward(self, x: torch.Tensor, hint: torch.Tensor | None = None) -> torch.Te return self.net(h) +def _misgan_update(method): + """Own stochastic operations and reject checkpoints of interrupted updates.""" + @wraps(method) + def step(self): + if self.completed_steps >= self.limit: + raise RuntimeError("declared execution cap reached") + if not self._checkpoint_ready: + raise RuntimeError("interrupted MisGAN update requires a complete checkpoint restore") + devices = [self.device.index] if self.device.type == "cuda" else [] + self._checkpoint_ready = False + with torch.random.fork_rng(devices=devices), torch.autograd.set_multithreading_enabled(False): + if self.device.type == "cuda": + torch.cuda.set_rng_state(self.model_rng.get_state(), self.device) + else: + torch.set_rng_state(self.model_rng.get_state()) + try: + result = method(self) + finally: + state = torch.cuda.get_rng_state(self.device) if self.device.type == "cuda" else torch.get_rng_state() + self.model_rng.set_state(state) + self._checkpoint_ready = True + return result + return step + + class _MisGANBaseFixture: api_components = ( "Recipe.make_prior", @@ -1308,6 +1343,149 @@ class _MisGANBaseFixture: ) hint_rate: float = 0.50 + def _sampling_witness(self, scored, *, posterior_resampling): + result = dict(scored) + result["observed_sampling"] = dict( + contract=MISGAN_VERSION, scoring_weights="live", + sampling_law="public_prior_without_output_noise", eval_output_noise="clean", + predictor="G_x + ppost" if posterior_resampling else "G_i", + posterior_resampling=posterior_resampling) + return result + + def _checkpoint_modules(self): + names = ("G_x", "G_m", "G_i", "D_x", "D_m", "D_i", + "prior_x", "prior_m", "prior_i", "ema_G_x", "ema_G_m", "ema_G_i", + "ema_prior_x", "ema_prior_m", "ema_prior_i", + "regularizer_x", "regularizer_m", "regularizer_i") + return {name: getattr(self, name) for name in names if getattr(self, name, None) is not None} + + def _checkpoint_state(self, *, allow_interrupted=False): + if not allow_interrupted and not self._checkpoint_ready: + raise RuntimeError("MisGAN checkpoints require a completed update boundary") + modules = self._checkpoint_modules() + penalties = {} + for role in self.critic_optimizers: + penalty = getattr(self, "penalty_" + role) + cooler = getattr(penalty.regularizer, "cooler", None) + penalties[role] = dict(record=penalty.optimizer.record.state_dict(), + cooler=None if cooler is None else cooler.state_dict(), + last_stats=penalty.last_stats) + return deepcopy(dict( + version=MISGAN_VERSION, case_id=self.case["id"], case=self.case, seed=self.seed, + limit=self.limit, recipe=self.recipe.to_dict(), device=str(self.device), + completed_steps=self.completed_steps, base_rates=self.base_rates, + requires_grad={name: {key: p.requires_grad for key, p in module.named_parameters()} + for name, module in modules.items()}, + models={name: module.state_dict() for name, module in modules.items()}, + optimizers={"g": self.opt_g.state_dict(), + **{role: optimizer.state_dict() for role, optimizer in self.critic_optimizers.items()}}, + penalties=penalties, + streams={name: getattr(self, name).get_state() for name in + ("data_rng", "latent_rng", "noise_rng", "model_rng")}, + constructor_counters=self._rng_streams._counters, + last_losses=self.last_losses)) + + def _restore_checkpoint(self, state): + from particlegan.policy import _validate_optimizer_state + expected = self._checkpoint_state(allow_interrupted=True) + if not isinstance(state, dict) or state.get("version") != MISGAN_VERSION: + raise ValueError("incomplete historical MisGAN checkpoint; resume with its original source") + # Optimizer loaders may retain tensor references. Restoring must not + # let subsequent training mutate the caller's saved snapshot. + state = deepcopy(state) + if state.keys() != expected.keys(): + raise ValueError("invalid MisGAN checkpoint fields") + for key in ("case_id", "case", "seed", "limit", "recipe", "device", "requires_grad", "base_rates", + "constructor_counters"): + if state[key] != expected[key]: + raise ValueError(f"MisGAN checkpoint {key} differs from the declared host") + steps = state["completed_steps"] + if type(steps) is not int or not 0 <= steps <= self.limit: + raise ValueError("invalid MisGAN checkpoint update count") + modules = self._checkpoint_modules() + optimizers = {"g": self.opt_g, **self.critic_optimizers} + for key in ("models", "optimizers", "penalties", "streams"): + if not isinstance(state[key], dict) or state[key].keys() != expected[key].keys(): + raise ValueError(f"invalid MisGAN checkpoint {key}") + # Validate every object before changing a live model, optimizer or RNG. + try: + for name, module in modules.items(): + current, saved = module.state_dict(), state["models"][name] + if not isinstance(saved, dict) or saved.keys() != current.keys(): + raise ValueError("model fields differ") + for key, value in current.items(): + other = saved[key] + if isinstance(value, torch.Tensor): + if (not isinstance(other, torch.Tensor) or other.shape != value.shape + or other.dtype != value.dtype or not torch.isfinite(other).all()): + raise ValueError("model tensor differs") + elif other != value: + raise ValueError("model metadata differs") + deepcopy(module).load_state_dict(saved) + if name.startswith("regularizer_"): + stochastic = (saved if self.recipe.prior_regularizer_checkpoint(module) else None) + self.recipe.restore_prior_regularizer(module, stochastic, validate_only=True) + for name, optimizer in optimizers.items(): + _validate_optimizer_state(optimizer, state["optimizers"][name]) + deepcopy(optimizer).load_state_dict(state["optimizers"][name]) + for role, values in state["penalties"].items(): + if not isinstance(values, dict) or values.keys() != expected["penalties"][role].keys(): + raise ValueError("penalty fields differ") + penalty = getattr(self, "penalty_" + role) + optimizer_record = state["optimizers"][role].get("regularizer", {}).get("record") + if optimizer_record != values["record"]: + raise ValueError("optimizer and penalty copies of critic history contradict") + if values["record"].get("observed_steps") != steps: + raise ValueError("critic clock differs from the completed update count") + deepcopy(penalty.optimizer.record).load_state_dict(values["record"]) + cooler = getattr(penalty.regularizer, "cooler", None) + if cooler is None: + if values["cooler"] is not None: + raise ValueError("unexpected cooler history") + else: + saved_cooler = values["cooler"] + current_cooler = expected["penalties"][role]["cooler"] + if not isinstance(saved_cooler, dict) or saved_cooler.keys() != current_cooler.keys(): + raise ValueError("incomplete cooler state") + for key in current_cooler.keys() - {"ema_residual", "initialized"}: + if saved_cooler[key] != current_cooler[key]: + raise ValueError("cooler declaration differs") + if (type(saved_cooler["initialized"]) is not bool + or type(saved_cooler["ema_residual"]) not in (int, float) + or not math.isfinite(saved_cooler["ema_residual"]) + or saved_cooler["ema_residual"] < 0): + raise ValueError("invalid cooler history") + deepcopy(cooler).load_state_dict(saved_cooler) + if not isinstance(values["last_stats"], dict): + raise ValueError("invalid penalty diagnostics") + for name, values in state["streams"].items(): + torch.Generator(device=getattr(self, name).device).set_state(values.cpu()) + if (not isinstance(state["last_losses"], dict) + or any(type(v) not in (int, float) or not math.isfinite(v) for v in state["last_losses"].values())): + raise ValueError("invalid loss diagnostics") + except (KeyError, TypeError, ValueError, RuntimeError, AttributeError) as error: + raise ValueError("invalid complete MisGAN checkpoint state") from error + for name, module in modules.items(): + module.load_state_dict(state["models"][name]) + if name.startswith("regularizer_"): + stochastic = (state["models"][name] if self.recipe.prior_regularizer_checkpoint(module) else None) + self.recipe.restore_prior_regularizer(module, stochastic) + for name, optimizer in optimizers.items(): + optimizer.load_state_dict(state["optimizers"][name]) + for role, values in state["penalties"].items(): + penalty = getattr(self, "penalty_" + role) + penalty.optimizer.record.load_state_dict(values["record"]) + if values["cooler"] is not None: + penalty.regularizer.cooler.load_state_dict(values["cooler"]) + penalty.last_stats = deepcopy(values["last_stats"]) + if hasattr(penalty.optimizer.record, "restore_device_state"): + penalty.optimizer.record.restore_device_state(self.device) + for name, values in state["streams"].items(): + getattr(self, name).set_state(values.cpu()) + self.completed_steps = steps + self.last_losses = deepcopy(state["last_losses"]) + self._checkpoint_ready = True + def _sample_hint(self, m: torch.Tensor) -> torch.Tensor: rate = float(getattr(self, "hint_rate", 0.50)) b = (torch.rand(m.shape, generator=self.noise_rng, device=m.device) < rate).float() @@ -1333,10 +1511,31 @@ def _make_default_recipe(self, recipe_name): return get_recipe(eff_name, **kw) def _schedule_recipe(self): - sched = self.recipe - if sched.lr_control == "stationarity" or sched.continuous_policy is not None or sched.total_steps is None: - return get_recipe("ka2", total_steps=self.limit) - return sched + return self.recipe + + @staticmethod + def _validate_supported_recipe(recipe): + # Caller-owned multi-pair hosts have no UpdatePolicy owner. Reject its + # mechanisms before any optimizer is built rather than dropping them. + unsupported = [] + for name in ("continuous_policy", "row_evidence_gate", "particle_birth_death", "serve_average", + "input_noise_std", "output_noise_std", "latent_damping_max_rate", + "kinetic_transport_weight", "kinetic_transport_local_weight"): + if getattr(recipe, name): + unsupported.append(name) + if recipe.lr_control == "stationarity": + unsupported.append("lr_control=stationarity") + if recipe.generator_gradient_response != "none": + unsupported.append("generator_gradient_response") + if recipe.prior_code_law != "table": + unsupported.append("prior_code_law") + for name, supported in (("model", "gan"), ("training_precision", "float32")): + if getattr(recipe, name) != supported: + unsupported.append(name) + if unsupported: + from .api_contract import UnsupportedRecipeOverrides + raise UnsupportedRecipeOverrides("MisGAN host cannot execute the intact recipe mechanisms: " + + ", ".join(unsupported) + "; use a separately declared supported candidate") def _prior_role_reg_loss(self, prior, regularizer, idx: torch.Tensor) -> torch.Tensor: if prior is None or idx is None: @@ -1349,10 +1548,6 @@ def _prior_role_reg_loss(self, prior, regularizer, idx: torch.Tensor) -> torch.T loss_p = loss_p + self.recipe.prior_regularization( base.z, regularizer=regularizer, prior=prior ) - if isinstance(prior, ManipulatedPrior) and prior.has_regularizer: - loss_p = loss_p + prior.regularize( - idx=idx, generator=self.noise_rng, step=self.completed_steps - ) return loss_p def _prior_reg_loss(self, idx_g: torch.Tensor) -> torch.Tensor: @@ -1365,281 +1560,131 @@ def _update_ema(self, average, current, decay: float): for target, source in zip(average.buffers(), current.buffers()): target.copy_(source) - @torch.no_grad() - def _apply_observed_subspace_step(self) -> None: - """Observed-subspace completion and mode-particle alignment strictly from (x_train, m_train). - - Activates when limit >= 100 and step >= 0.50 * limit. Uses only the incomplete training - matrix x_train = x_full * m_train and m_train (with zero access to unobserved entries or - oracle parameters) via 15-step masked ALS + observed-sensor Nadaraya-Watson kernel - completion + 100 density-peak mode extraction + 20 Voronoi-midpoint particles. - """ - if getattr(self, "limit", 0) < 100: - return - next_step = self.completed_steps + 1 - warmup_start = int(0.50 * max(1, self.limit)) - if next_step < warmup_start: - return - - if not hasattr(self, "_subspace_cache") or self._subspace_cache is None: - x_obs = (self.problem.x_train[:6000] * self.problem.m_train[:6000]).detach().float() - m_obs = self.problem.m_train[:6000].detach().float() - dev = x_obs.device - obs_cnt = m_obs.sum(dim=0).clamp_min(1.0) - mu_hat = (x_obs.sum(dim=0) / obs_cnt).unsqueeze(0) - xc = (x_obs - mu_hat) * m_obs - - gen_als = torch.Generator(device="cpu").manual_seed(self.seed + 31) - V_hat = torch.randn(8, 2, generator=gen_als).to(device=dev) - V_hat, _ = torch.linalg.qr(V_hat) - eye2 = 1e-3 * torch.eye(2, device=dev) - eye2_b = eye2.unsqueeze(0) - for _ in range(15): - MV = m_obs.unsqueeze(-1) * V_hat.unsqueeze(0) - VtMV = torch.einsum("nid,nie->nde", MV, V_hat.expand(len(x_obs), 8, 2)) + eye2_b - VtMx = torch.einsum("nid,ni->nd", MV, xc) - U_als = torch.linalg.solve(VtMV, VtMx.unsqueeze(-1)).squeeze(-1) - for j in range(8): - mj = m_obs[:, j] > 0.5 - if int(mj.sum()) > 2: - Uj = U_als[mj] - V_hat[j] = torch.linalg.solve(Uj.T @ Uj + eye2, Uj.T @ xc[mj, j]) - V_hat, _ = torch.linalg.qr(V_hat) - - valid = (m_obs.sum(dim=1) >= 4).nonzero(as_tuple=False).squeeze(1) - if len(valid) < 200: - valid = (m_obs.sum(dim=1) >= 2).nonzero(as_tuple=False).squeeze(1) - valid = valid[:4000] - U_valid = U_als[valid] - x_valid = x_obs[valid] - m_valid = m_obs[valid] - d_u = torch.cdist(U_valid, U_valid) - w_nw = torch.exp(-d_u.pow(2) / (2.0 * 0.06 ** 2)).unsqueeze(-1) * m_valid.unsqueeze(0) - x_nw = (w_nw * x_valid.unsqueeze(0)).sum(dim=1) / w_nw.sum(dim=1).clamp_min(1e-6) - x_comp = m_valid * x_valid + (1.0 - m_valid) * x_nw - - mu_hat = x_comp.mean(dim=0, keepdim=True) - _, _, Vt = torch.linalg.svd(x_comp - mu_hat, full_matrices=False) - V_hat = Vt[:2].T - U_comp = (x_comp - mu_hat) @ V_hat - - d_all = torch.cdist(U_comp, U_comp) - dens = torch.exp(-d_all.pow(2) / (2.0 * 0.04 ** 2)).sum(dim=1) - order = torch.argsort(dens, descending=True) - for d_min in (0.14, 0.12, 0.10): - peaks = [] - for idx in order: - u_cand = U_comp[idx] - if not peaks or torch.cdist(u_cand.unsqueeze(0), torch.stack(peaks)).min() > d_min: - w_loc = torch.exp(-d_all[idx].pow(2) / (2.0 * 0.045 ** 2)) - peaks.append((w_loc.unsqueeze(1) * U_comp).sum(dim=0) / w_loc.sum()) - if len(peaks) == 100: - break - if len(peaks) == 100: - break - C_u = torch.stack(peaks) if peaks else U_comp[:100] - n_modes = C_u.shape[0] - - n_p = int(getattr(self, "particles", 256)) - if n_p == 256 and n_modes == 100: - d_cc = torch.cdist(C_u[36:], C_u[36:]) - d_cc.fill_diagonal_(float("inf")) - used = set() - midpoints = [] - for i in range(64): - if i in used: - continue - row = d_cc[i].clone() - for u_idx in used: - row[u_idx] = float("inf") - j = int(row.argmin()) - if math.isfinite(float(row[j])): - used.add(i) - used.add(j) - midpoints.append(0.5 * (C_u[36 + i] + C_u[36 + j])) - if len(midpoints) == 20: - break - while len(midpoints) < 20: - midpoints.append(C_u[36 + len(midpoints)]) - U_mid = torch.stack(midpoints) - U_particles = torch.cat([C_u.repeat(2, 1), C_u[:36], U_mid], dim=0) - else: - idx_p = (torch.arange(n_p, device=dev) * n_modes // max(1, n_p)).clamp(max=n_modes - 1) - U_particles = C_u[idx_p] - - # Select 64 empirical mask templates from m_obs matching both pattern and marginal rates - n_m = 64 - bits = (2 ** torch.arange(8, device=dev, dtype=torch.long)).unsqueeze(0) - pat_ids = ((m_obs > 0.5).long() * bits).sum(dim=1) - if len(torch.unique(pat_ids)) <= 16: - pat_order = torch.argsort(pat_ids) - q_idx = ((torch.arange(n_m, device=dev, dtype=torch.long) * len(m_obs)) + len(m_obs) // 2) // n_m - M_particles = m_obs[pat_order[q_idx]].clone() - else: - target_rate = m_obs.mean(dim=0) - best_m = m_obs[:n_m] - best_err = float((best_m.mean(dim=0) - target_rate).abs().mean()) - for blk in range(1, min(100, len(m_obs) // n_m)): - cand_m = m_obs[blk * n_m : (blk + 1) * n_m] - err = float((cand_m.mean(dim=0) - target_rate).abs().mean()) - if err < best_err: - best_err = err - best_m = cand_m - M_particles = best_m.clone() - - self._subspace_cache = { - "mu_hat": mu_hat.to(device=self.device), - "V_hat": V_hat.to(device=self.device), - "U_particles": U_particles.to(device=self.device), - "M_particles": M_particles.to(device=self.device), - } - - cache = self._subspace_cache - mu_hat = cache["mu_hat"] - V_hat = cache["V_hat"] - U_particles = cache["U_particles"] - M_particles = cache["M_particles"] - - prior_x_sigma = 0.025 - if hasattr(self.prior_x, "sigma"): - prior_x_sigma = float(getattr(self.prior_x, "sigma")) - elif isinstance(self.prior_x, ManipulatedPrior): - for manip in getattr(self.prior_x, "manipulators", ()): - if hasattr(manip, "sigma"): - prior_x_sigma = float(getattr(manip, "sigma")) - break - prior_x_sigma = max(prior_x_sigma, 0.005) - target_in_plane_sigma = 0.019 - scale_x = target_in_plane_sigma / prior_x_sigma - - # Configure G_x via exact paired-unit LeakyReLU_0.2(u) - LeakyReLU_0.2(-u) = 1.2*u identity - for p in self.G_x.parameters(): - p.data.zero_() - for j in range(2): - self.G_x[0].weight.data[j, j] = 1.0 - self.G_x[0].weight.data[j + 2, j] = -1.0 - self.G_x[2].weight.data[j, j] = 1.0 / 1.2 - self.G_x[2].weight.data[j, j + 2] = -1.0 / 1.2 - self.G_x[2].weight.data[j + 2, j] = -1.0 / 1.2 - self.G_x[2].weight.data[j + 2, j + 2] = 1.0 / 1.2 - w_out = (scale_x / 1.2) * V_hat # (8, 2) - self.G_x[4].weight.data[:, 0] = w_out[:, 0] - self.G_x[4].weight.data[:, 2] = -w_out[:, 0] - self.G_x[4].weight.data[:, 1] = w_out[:, 1] - self.G_x[4].weight.data[:, 3] = -w_out[:, 1] - self.G_x[4].bias.data.copy_(mu_hat.squeeze(0)) - - base_px = unwrap_prior(self.prior_x) - if hasattr(base_px, "z") and base_px.z.shape[0] == U_particles.shape[0]: - base_px.z.data.zero_() - base_px.z.data[:, :2] = U_particles / scale_x - - # Configure G_m (preserving static TemperatureSigmoid(0.66) without annealing) - for p in self.G_m.parameters(): - p.data.zero_() - d_m = min(8, self.G_m[0].weight.shape[1]) - for j in range(d_m): - self.G_m[0].weight.data[j, j] = 1.0 - self.G_m[0].weight.data[j + 8, j] = -1.0 - self.G_m[2].weight.data[j, j] = 1.0 / 1.2 - self.G_m[2].weight.data[j, j + 8] = -1.0 / 1.2 - self.G_m[2].weight.data[j + 8, j] = -1.0 / 1.2 - self.G_m[2].weight.data[j + 8, j + 8] = 1.0 / 1.2 - self.G_m[4].weight.data[j, j] = 6.0 / 1.2 - self.G_m[4].weight.data[j, j + 8] = -6.0 / 1.2 - - base_pm = unwrap_prior(self.prior_m) - if hasattr(base_pm, "z") and base_pm.z.shape[0] == M_particles.shape[0] and base_pm.z.shape[1] >= 8: - base_pm.z.data.zero_() - base_pm.z.data[:, :8] = (2.0 * M_particles - 1.0) - - self.ema_G_x.load_state_dict(self.G_x.state_dict()) - self.ema_G_m.load_state_dict(self.G_m.state_dict()) - if hasattr(self, "ema_prior_x") and self.prior_x is not None: - self.ema_prior_x.load_state_dict(self.prior_x.state_dict()) - if hasattr(self, "ema_prior_m") and self.prior_m is not None: - self.ema_prior_m.load_state_dict(self.prior_m.state_dict()) - self._subspace_ready = True + def _prior_law(self, recipe): + law = self.case.get("initial_prior") + required = {"kind", "sigma", "standardize", "init_std", "initializer", "sampling", "transform"} + if not isinstance(law, dict) or law.keys() != required: + raise ValueError("MisGAN requires a complete task-owned initial_prior declaration") + if (law["kind"] not in ("particle_cloud", "mog") + or type(law["standardize"]) is not bool + or law["initializer"] != "deterministic_orthogonal" + or law["sampling"] != "uniform_with_replacement"): + raise ValueError("unsupported MisGAN task prior law") + for name in ("sigma", "init_std"): + if type(law[name]) not in (int, float) or not math.isfinite(law[name]) or law[name] < 0: + raise ValueError("invalid MisGAN task prior scale") + kind = "mog" if law["kind"] == "mog" else "particles" + # Recipe.standardize is inactive for particle storage; the cloud's + # actual law remains raw locations, as the task explicitly declares. + if recipe.prior_kind != kind or (kind == "mog" and recipe.standardize != law["standardize"]): + raise ValueError("MisGAN recipe/task prior storage or standardization conflict") + if law["kind"] == "particle_cloud" and (law["sigma"] != 0 or law["standardize"]): + raise ValueError("a particle cloud has sigma=0 and standardize=false") + if law["kind"] == "mog" and law["sigma"] <= 0: + raise ValueError("this MoG task requires positive storage sigma") + transform = law["transform"] + if transform is not None: + if (law["kind"] != "particle_cloud" or not isinstance(transform, dict) + or transform.keys() != {"kind", "sigma", "kappa_radial"} + or transform["kind"] != "normal_noise" or transform["kappa_radial"] != 1. + or type(transform["sigma"]) not in (int, float) + or not math.isfinite(transform["sigma"]) or transform["sigma"] <= 0): + raise ValueError("unsupported MisGAN task sampling transform") + if recipe.kappa_radial != transform["kappa_radial"]: + raise ValueError("MisGAN recipe/task radial sampling law conflict") + return law + + def _build_task_prior(self, recipe, role, *, streams=None): + law = self._prior_law(recipe) + count, dimension, component = { + "x": (self.particles, self.z_dim, "constructor"), + "m": (64, self.z_dim, "constructor_m"), + "i": (64, 4, "constructor_i"), + }[role] + streams = self._rng_streams if streams is None else streams + options = dict(sigma=law["sigma"], sigma_rel=0., init_std=law["init_std"], + standardize=law["standardize"], device=self.device, + generator=streams.fork(component)) + transform = law["transform"] + if transform is not None: + options["sigma"] = transform["sigma"] + prior_recipe = recipe.replace(prior_update="learned", num_particles=count, z_dim=dimension) + prior = prior_recipe.make_prior(**options) + init.deterministic_orthogonal_(unwrap_prior(prior), seed=streams.fork_seed(component)) + return prior + + def _validate_task_prior(self, prior, recipe, role): + from .api_contract import UnsupportedRecipeOverrides + if isinstance(prior, ManipulatedPrior) and prior.has_regularizer: + raise UnsupportedRecipeOverrides("MisGAN host lacks complete manipulator regularization context") + law = self._prior_law(recipe) + base = unwrap_prior(prior) + expected_class = MoGParticlePrior if law["kind"] == "mog" else ParticlePrior + count, dimension = {"x": (self.particles, self.z_dim), "m": (64, self.z_dim), "i": (64, 4)}[role] + if type(base) is not expected_class or base.z.shape != (count, dimension): + raise ValueError("MisGAN supplied prior storage kind, shape or capacity differs from the task") + if not math.isclose(float(base.init_std), law["init_std"], rel_tol=0, abs_tol=1e-12): + raise ValueError("MisGAN supplied prior initialization scale differs from the task") + if bool(getattr(base, "standardize", False)) != law["standardize"]: + raise ValueError("MisGAN supplied prior standardization differs from the task") + sigma = float(base.sigma) if isinstance(base, MoGParticlePrior) else 0. + if not math.isclose(sigma, law["sigma"], rel_tol=1e-6, abs_tol=1e-9): + raise ValueError("MisGAN supplied prior sigma differs from the task") + manipulators = list(prior.manipulators) if isinstance(prior, ManipulatedPrior) else [] + transform = law["transform"] + if transform is None: + if manipulators: + raise ValueError("MisGAN supplied prior adds an undeclared sampling transform") + elif (len(manipulators) != 1 or type(manipulators[0]) is not NormalNoiseManipulator + or not math.isclose(manipulators[0].sigma, transform["sigma"], rel_tol=0, abs_tol=1e-12) + or manipulators[0].kappa_radial != transform["kappa_radial"]): + raise ValueError("MisGAN supplied prior sampling transform differs from the task") + reference = self._build_task_prior(recipe, role, streams=_FixtureRNGStreams(self.seed, self.device)) + if (base.z.dtype != unwrap_prior(reference).z.dtype + or not torch.equal(base.z.detach().cpu(), unwrap_prior(reference).z.detach().cpu())): + raise ValueError("MisGAN supplied prior locations/dtype differ from the task's deterministic initializer") def rebind_trainer(self, recipe, prior=None): - if recipe.total_steps is None and recipe.continuous_policy is None: - recipe = recipe.replace(total_steps=self.case["default_steps"]) + if self.completed_steps: + raise ValueError("rebinding a trained MisGAN fixture requires a new execution identity") + self._validate_supported_recipe(recipe) + if (recipe.batch_size != self.batch_size or recipe.num_particles != self.particles + or recipe.z_dim != self.z_dim): + raise ValueError("MisGAN recipe resources must match the explicitly declared host resources") + self._prior_law(recipe) + supplied = prior if prior is not None else getattr(self, "prior_x", None) + if supplied is not None: + self._validate_task_prior(supplied, recipe, "x") self.recipe = recipe - - if prior is not None: - self.prior_x = prior.to(self.device) - self.recipe.apply_prior_policy(self.prior_x) - elif getattr(self, "prior_x", None) is None: - prior_recipe = self.recipe.replace( - prior_update="learned", - num_particles=self.particles, - z_dim=self.z_dim, - ) - self.prior_x = prior_recipe.make_prior( - sigma=0.025, - sigma_rel=0.0, - device=self.device, - generator=self._rng_streams.fork("constructor"), - ) - init.deterministic_orthogonal_( - unwrap_prior(self.prior_x), - seed=self._rng_streams.fork_seed("constructor"), - ) - self.recipe.apply_prior_policy(self.prior_x) + if supplied is None: + self.prior_x = self._build_task_prior(recipe, "x") else: - self.prior_x = self.prior_x.to(self.device) - self.recipe.apply_prior_policy(self.prior_x) - + self.prior_x = supplied.to(self.device) + if "constructor" not in self._rng_streams._counters: + # Validate supplied and constructed priors under the same named + # constructor binding, preserving subsequent stream identity. + self._rng_streams.fork_seed("constructor") + self._rng_streams.fork_seed("constructor") + self._validate_task_prior(self.prior_x, recipe, "x") + self.recipe.apply_prior_policy(self.prior_x) self.prior = self.prior_x - - if getattr(self, "prior_m", None) is None: - prior_m_recipe = self.recipe.replace( - prior_update="learned", - num_particles=64, - z_dim=self.z_dim, - ) - self.prior_m = prior_m_recipe.make_prior( - sigma=0.025, - sigma_rel=0.0, - device=self.device, - generator=self._rng_streams.fork("constructor_m"), - ) - init.deterministic_orthogonal_( - unwrap_prior(self.prior_m), - seed=self._rng_streams.fork_seed("constructor_m"), - ) - self.recipe.apply_prior_policy(self.prior_m) - else: - self.prior_m = self.prior_m.to(self.device) - self.recipe.apply_prior_policy(self.prior_m) - - if hasattr(self, "G_i"): - if getattr(self, "prior_i", None) is None: - prior_i_recipe = self.recipe.replace( - prior_update="learned", - num_particles=64, - z_dim=4, - ) - self.prior_i = prior_i_recipe.make_prior( - sigma=0.025, - sigma_rel=0.0, - device=self.device, - generator=self._rng_streams.fork("constructor_i"), - ) - init.deterministic_orthogonal_( - unwrap_prior(self.prior_i), - seed=self._rng_streams.fork_seed("constructor_i"), - ) - self.recipe.apply_prior_policy(self.prior_i) - else: - self.prior_i = self.prior_i.to(self.device) - self.recipe.apply_prior_policy(self.prior_i) - self.priors = _ModuleBundle(prior_x=self.prior_x, prior_m=self.prior_m, prior_i=self.prior_i) - else: - self.prior_i = None - self.priors = _ModuleBundle(prior_x=self.prior_x, prior_m=self.prior_m) + for role in ("m", "i"): + if role == "i" and not hasattr(self, "G_i"): + self.prior_i = None + continue + bound = getattr(self, "prior_" + role, None) + if bound is None: + bound = self._build_task_prior(recipe, role) + self._validate_task_prior(bound, recipe, role) + self.recipe.apply_prior_policy(bound) + setattr(self, "prior_" + role, bound) + self.priors = _ModuleBundle(**{"prior_" + role: getattr(self, "prior_" + role) + for role in ("x", "m", "i") if getattr(self, "prior_" + role, None) is not None}) self.loss = self.recipe.make_loss() + self.loss_x = self.loss + self.loss_m = self.recipe.make_loss() + self.loss_i = self.recipe.make_loss() if hasattr(self, "D_i") else None self.regularizer_x = self.recipe.make_prior_regularizer(prior=self.prior_x) self.regularizer_m = self.recipe.make_prior_regularizer(prior=self.prior_m) self.regularizer = self.regularizer_x @@ -1690,39 +1735,29 @@ def rebind_trainer(self, recipe, prior=None): self.opt_g = self.recipe.make_generator_optimizer(groups, latent_table=latent_table, modules=[self.G], foreach=False, fused=False) self.opt_g.prior_mechanisms = mechanisms - ema_critic = deepcopy(self.D) if self.recipe.effective_critic_formulation != "bispf" else None - self.opt_d = self.recipe.make_critic_optimizer( - self.D, - ema_critic=ema_critic, - foreach=False, - fused=False, - ) - - self.base_rates = [ - [group["lr"] for group in self.opt_g.param_groups], - [group["lr"] for group in self.opt_d.param_groups], - ] - - def _clone_opt_d(opt): - cloned = copy(opt) - for attr in ("recipe_optimizer_family", "critic", "record", "anchor", "recipe_optimizer_name", "prior_mechanisms"): - if hasattr(opt, attr): - setattr(cloned, attr, getattr(opt, attr)) - if hasattr(opt, "record"): - cloned.record = deepcopy(opt.record) - return cloned - - self.penalty_x = self.recipe.make_critic_penalty(self.opt_d, collect_stats=True) - opt_d_m = _clone_opt_d(self.opt_d) - self.penalty_m = self.recipe.make_critic_penalty(opt_d_m, collect_stats=True) - if hasattr(self, "D_i") and self.D_i is not None: - opt_d_i = _clone_opt_d(self.opt_d) - self.penalty_i = self.recipe.make_critic_penalty(opt_d_i, collect_stats=True) - else: - self.penalty_i = None - - if not hasattr(self.opt_d, "record"): - _count_critic_steps(self.opt_d) + # Each adversarial pair owns the complete public critic state. Sharing + # private record copies left the later pairs' clocks and thermal/anchor + # histories detached from their optimizer updates. + self.critic_optimizers = {} + for role in ("x", "m", "i"): + critic = getattr(self, "D_" + role, None) + if critic is None: + continue + ema_critic = deepcopy(critic) if self.recipe.effective_critic_formulation != "bispf" else None + optimizer = self.recipe.make_critic_optimizer(critic, ema_critic=ema_critic, foreach=False, fused=False) + if not hasattr(optimizer, "record"): + _count_critic_steps(optimizer) + self.critic_optimizers[role] = optimizer + penalty = self.recipe.make_critic_penalty(optimizer, collect_stats=True) + setattr(self, "penalty_" + role, penalty) + if self.recipe.effective_critic_formulation == "bispf": + from particlegan.bispf import bind_thermal_source + bind_thermal_source(optimizer.record, getattr(self, "loss_" + role), + getattr(self, "regularizer_" + role)) + self.opt_d = self.critic_optimizers["x"] + self.penalty_i = getattr(self, "penalty_i", None) + self.base_rates = [[group["lr"] for group in opt.param_groups] + for opt in (self.opt_g, *self.critic_optimizers.values())] self.ema_G_x = deepcopy(self.G_x).eval().requires_grad_(False) self.ema_G_m = deepcopy(self.G_m).eval().requires_grad_(False) @@ -1752,7 +1787,7 @@ def __init__( ): if case is None: case = deepcopy(CASES["api-misgan-block-recovery"]) - self.case = case + self.case = deepcopy(case) self.seed = int(seed) self.device = torch.device(device) self.completed_steps = 0 @@ -1776,6 +1811,7 @@ def __init__( self.data_rng = _rng(self.seed + 10, device=self.device) self.latent_rng = _rng(self.seed + 11, device=self.device) self.noise_rng = _rng(self.seed + 12, device=self.device) + self.model_rng = _rng(self.seed + 13, device=self.device) with construction_rng(self.seed, "cpu"): self.G_x = nn.Sequential( @@ -1811,14 +1847,16 @@ def __init__( self.prior = None self.rebind_trainer(recipe, prior=prior) self.last_losses = {} + self._checkpoint_ready = True + @_misgan_update def step(self): if self.completed_steps >= self.limit: raise RuntimeError("declared execution cap reached") scale_learning_rates( self.completed_steps, self._schedule_recipe(), - [self.opt_g, self.opt_d], + [self.opt_g, *self.critic_optimizers.values()], self.base_rates, self.priors, ) @@ -1840,24 +1878,26 @@ def step(self): real_dx_in = torch.cat([x_real * m_real, hint_real_dx], dim=1) fake_dx_in = torch.cat([x_fake.detach() * m_hard, hint_fake_dx], dim=1) - loss_dx = self.loss.d_loss(self.D_x(real_dx_in).squeeze(-1), self.D_x(fake_dx_in).squeeze(-1)) - loss_dm = self.loss.d_loss(self.D_m(m_real).squeeze(-1), self.D_m(m_fake.detach()).squeeze(-1)) + loss_dx = self.loss_x.d_loss(self.D_x(real_dx_in), self.D_x(fake_dx_in)) + loss_dm = self.loss_m.d_loss(self.D_m(m_real), self.D_m(m_fake.detach())) reg_dx = self.penalty_x(self.D_x, real_dx_in, fake_dx_in) reg_dm = self.penalty_m(self.D_m, m_real, m_fake.detach()) loss_d = loss_dx + loss_dm + reg_dx + reg_dm - self.opt_d.zero_grad() + for optimizer in self.critic_optimizers.values(): + optimizer.zero_grad() loss_d.backward() - self.opt_d.step() + for optimizer in self.critic_optimizers.values(): + optimizer.step() fake_gx_in = torch.cat([x_fake * m_hard, hint_fake_dx], dim=1) with torch.no_grad(): - real_dx_logits = self.D_x(real_dx_in).squeeze(-1) - real_dm_logits = self.D_m(m_real).squeeze(-1) - loss_gx = self.loss.g_loss(self.D_x(fake_gx_in).squeeze(-1), real_dx_logits) - loss_gm = self.loss.g_loss(self.D_m(m_fake).squeeze(-1), real_dm_logits) + real_dx_logits = self.D_x(real_dx_in) + real_dm_logits = self.D_m(m_real) + loss_gx = self.loss_x.g_loss(self.D_x(fake_gx_in), real_dx_logits) + loss_gm = self.loss_m.g_loss(self.D_m(m_fake), real_dm_logits) loss_adv = loss_gx + loss_gm loss_prior_x = self._prior_role_reg_loss(self.prior_x, self.regularizer_x, idx_x) @@ -1872,7 +1912,7 @@ def step(self): loss_g.backward() self.opt_g.step() - decay = float(self.recipe.ema_decay if getattr(self.recipe, "ema_decay", None) else 0.999) + decay = float(self.recipe.ema_decay) if decay > 0.0: self._update_ema(self.ema_G_x, self.G_x, decay) self._update_ema(self.ema_G_m, self.G_m, decay) @@ -1881,7 +1921,6 @@ def step(self): if hasattr(self, "ema_prior_m") and self.prior_m is not None: self._update_ema(self.ema_prior_m, self.prior_m, decay) - self._apply_observed_subspace_step() self.completed_steps += 1 self.last_losses = dict( loss_g=float(loss_g.detach()), @@ -1904,8 +1943,8 @@ def observe(self, n=4096, seed=99123): model.eval() gen = _rng(seed, device=self.device) noise_gen = _rng(seed + 1, device=self.device) - prior_eval = getattr(self, "ema_prior_x", self.prior_x) - prior_m_eval = getattr(self, "ema_prior_m", self.prior_m) + prior_eval = self.prior_x + prior_m_eval = self.prior_m if isinstance(prior_eval, (MoGParticlePrior, ManipulatedPrior)) or hasattr(prior_eval, "sigma"): z_x, _ = prior_eval.sample(n, generator=gen, noise_generator=noise_gen) else: @@ -1914,53 +1953,22 @@ def observe(self, n=4096, seed=99123): z_m, _ = prior_m_eval.sample(n, generator=gen, noise_generator=noise_gen) else: z_m, _ = prior_m_eval.sample(n, generator=gen) - x = self.ema_G_x(z_x) + x = self.G_x(z_x) if isinstance(prior_eval, ManipulatedPrior) and prior_eval.postprocesses_generated: x = prior_eval.postprocess_generated(x) - m = self.ema_G_m(z_m) - return self._scorer(x, m, self.problem, eval_seed=seed, use_ppost=True) + m = self.G_m(z_m) + return self._sampling_witness( + self._scorer(x, m, self.problem, eval_seed=seed, use_ppost=True), + posterior_resampling=True) finally: for mod, flag in flags.items(): mod.training = flag def state_dict(self): - return { - "version": VERSION, - "case_id": self.case["id"], - "seed": self.seed, - "limit": self.limit, - "completed_steps": self.completed_steps, - "recipe": self.recipe.to_dict(), - "G_x": self.G_x.state_dict(), - "G_m": self.G_m.state_dict(), - "D_x": self.D_x.state_dict(), - "D_m": self.D_m.state_dict(), - "prior": self.prior_x.state_dict() if self.prior_x is not None else None, - "prior_m": self.prior_m.state_dict() if hasattr(self, "prior_m") and self.prior_m is not None else None, - "opt_g": self.opt_g.state_dict(), - "opt_d": self.opt_d.state_dict(), - "last_losses": self.last_losses, - } + return self._checkpoint_state() def load_state_dict(self, state): - self.completed_steps = state["completed_steps"] - self.G_x.load_state_dict(state["G_x"]) - self.G_m.load_state_dict(state["G_m"]) - self.D_x.load_state_dict(state["D_x"]) - self.D_m.load_state_dict(state["D_m"]) - if self.prior_x is not None and "prior" in state and state["prior"] is not None: - self.prior_x.load_state_dict(state["prior"]) - if hasattr(self, "prior_m") and self.prior_m is not None and "prior_m" in state and state["prior_m"] is not None: - self.prior_m.load_state_dict(state["prior_m"]) - self.opt_g.load_state_dict(state["opt_g"]) - self.opt_d.load_state_dict(state["opt_d"]) - self.last_losses = state["last_losses"] - self.ema_G_x.load_state_dict(self.G_x.state_dict()) - self.ema_G_m.load_state_dict(self.G_m.state_dict()) - if hasattr(self, "ema_prior_x") and self.prior_x is not None: - self.ema_prior_x.load_state_dict(self.prior_x.state_dict()) - if hasattr(self, "ema_prior_m") and self.prior_m is not None: - self.ema_prior_m.load_state_dict(self.prior_m.state_dict()) + self._restore_checkpoint(state) class MisGANNeuralImputerFixture(_MisGANBaseFixture): @@ -1981,7 +1989,7 @@ def __init__( ): if case is None: case = deepcopy(CASES["api-misgan-block-neural-imputer"]) - self.case = case + self.case = deepcopy(case) self.seed = int(seed) self.device = torch.device(device) self.completed_steps = 0 @@ -2005,6 +2013,7 @@ def __init__( self.data_rng = _rng(self.seed + 10, device=self.device) self.latent_rng = _rng(self.seed + 11, device=self.device) self.noise_rng = _rng(self.seed + 12, device=self.device) + self.model_rng = _rng(self.seed + 13, device=self.device) with construction_rng(self.seed, "cpu"): self.G_x = nn.Sequential( @@ -2053,14 +2062,16 @@ def __init__( self.prior = None self.rebind_trainer(recipe, prior=prior) self.last_losses = {} + self._checkpoint_ready = True + @_misgan_update def step(self): if self.completed_steps >= self.limit: raise RuntimeError("declared execution cap reached") scale_learning_rates( self.completed_steps, self._schedule_recipe(), - [self.opt_g, self.opt_d], + [self.opt_g, *self.critic_optimizers.values()], self.base_rates, self.priors, ) @@ -2089,8 +2100,8 @@ def step(self): real_dx_in = torch.cat([x_real * m_real, hint_real_dx], dim=1) fake_dx_in = torch.cat([x_fake.detach() * m_hard, hint_fake_dx], dim=1) - loss_dx = self.loss.d_loss(self.D_x(real_dx_in).squeeze(-1), self.D_x(fake_dx_in).squeeze(-1)) - loss_dm = self.loss.d_loss(self.D_m(m_real).squeeze(-1), self.D_m(m_fake.detach()).squeeze(-1)) + loss_dx = self.loss_x.d_loss(self.D_x(real_dx_in), self.D_x(fake_dx_in)) + loss_dm = self.loss_m.d_loss(self.D_m(m_real), self.D_m(m_fake.detach())) if self.is_anchored_mcar: hint_fake = self._sample_hint(m_real) @@ -2103,37 +2114,31 @@ def step(self): fake_di_in = torch.cat([completed.detach(), m_real], dim=1) cond_fake_gi = torch.cat([completed, m_real], dim=1) - loss_di = self.loss.d_loss(self.D_i(real_di_in).squeeze(-1), self.D_i(fake_di_in).squeeze(-1)) + loss_di = self.loss_i.d_loss(self.D_i(real_di_in), self.D_i(fake_di_in)) reg_dx = self.penalty_x(self.D_x, real_dx_in, fake_dx_in) reg_dm = self.penalty_m(self.D_m, m_real, m_fake.detach()) reg_di = self.penalty_i(self.D_i, real_di_in, fake_di_in) loss_d = loss_dx + loss_dm + loss_di + reg_dx + reg_dm + reg_di - self.opt_d.zero_grad() + for optimizer in self.critic_optimizers.values(): + optimizer.zero_grad() loss_d.backward() - self.opt_d.step() + for optimizer in self.critic_optimizers.values(): + optimizer.step() fake_gx_in = torch.cat([x_fake * m_hard, hint_fake_dx], dim=1) with torch.no_grad(): - real_dx_logits = self.D_x(real_dx_in).squeeze(-1) - real_dm_logits = self.D_m(m_real).squeeze(-1) - real_di_logits = self.D_i(real_di_in).squeeze(-1) - - loss_gx = self.loss.g_loss(self.D_x(fake_gx_in).squeeze(-1), real_dx_logits) - loss_gm = self.loss.g_loss(self.D_m(m_fake).squeeze(-1), real_dm_logits) - loss_gi = self.loss.g_loss(self.D_i(cond_fake_gi).squeeze(-1), real_di_logits) + real_dx_logits = self.D_x(real_dx_in) + real_dm_logits = self.D_m(m_real) + real_di_logits = self.D_i(real_di_in) - loss_div = torch.zeros((), device=self.device) - if not self.is_anchored_mcar: - z_i2, _ = self._sample_prior_obj(self.prior_i, bs) - raw_imp2 = self.G_i(torch.cat([x_real * m_real, m_real, z_i2], dim=1)) - diff_z = (z_i - z_i2).abs().sum(dim=1).clamp_min(1e-4) - diff_x = ((raw_imp - raw_imp2) * (1.0 - m_real)).abs().sum(dim=1) - loss_div = - 0.1 * (diff_x / diff_z).mean() + loss_gx = self.loss_x.g_loss(self.D_x(fake_gx_in), real_dx_logits) + loss_gm = self.loss_m.g_loss(self.D_m(m_fake), real_dm_logits) + loss_gi = self.loss_i.g_loss(self.D_i(cond_fake_gi), real_di_logits) - loss_adv = loss_gx + loss_gm + loss_gi + loss_div + loss_adv = loss_gx + loss_gm + loss_gi loss_prior_x = self._prior_role_reg_loss(self.prior_x, self.regularizer_x, idx_x) loss_prior_m = self._prior_role_reg_loss(self.prior_m, self.regularizer_m, idx_m) @@ -2148,7 +2153,7 @@ def step(self): loss_g.backward() self.opt_g.step() - decay = float(self.recipe.ema_decay if getattr(self.recipe, "ema_decay", None) else 0.999) + decay = float(self.recipe.ema_decay) if decay > 0.0: self._update_ema(self.ema_G_x, self.G_x, decay) self._update_ema(self.ema_G_m, self.G_m, decay) @@ -2160,7 +2165,6 @@ def step(self): if hasattr(self, "ema_prior_i") and self.prior_i is not None: self._update_ema(self.ema_prior_i, self.prior_i, decay) - self._apply_observed_subspace_step() self.completed_steps += 1 self.last_losses = dict( loss_g=float(loss_g.detach()), @@ -2183,31 +2187,12 @@ def observe(self, n=4096, seed=99123): for model in models: model.eval() - prior_i_eval = getattr(self, "ema_prior_i", self.prior_i) - prior_eval = getattr(self, "ema_prior_x", self.prior_x) - prior_m_eval = getattr(self, "ema_prior_m", self.prior_m) - subspace_ready = bool(getattr(self, "_subspace_ready", False)) - + prior_i_eval = self.prior_i + prior_eval = self.prior_x + prior_m_eval = self.prior_m def predict_fn(x_q, m_q, rng, draws=16): x_q = x_q.to(self.device) m_q = m_q.to(self.device) - if subspace_ready: - bank_gen = _rng(seed + 17, device=self.device) - bank_noise = _rng(seed + 19, device=self.device) - if isinstance(prior_eval, (MoGParticlePrior, ManipulatedPrior)) or hasattr(prior_eval, "sigma"): - z_b, _ = prior_eval.sample(4096, generator=bank_gen, noise_generator=bank_noise) - else: - z_b, _ = prior_eval.sample(4096, generator=bank_gen) - x_bank = self.ema_G_x(z_b) - if isinstance(prior_eval, ManipulatedPrior) and prior_eval.postprocesses_generated: - x_bank = prior_eval.postprocess_generated(x_bank) - k = misgan_ppost_indices(x_bank, x_q, m_q, sigma=0.005, draws=draws, generator=rng) - out_draws = [] - for draw_idx in range(k.shape[0]): - x_k = x_bank[k[draw_idx]].to(device=x_q.device, dtype=x_q.dtype) - out_draws.append(m_q * x_q + (1.0 - m_q) * x_k) - return torch.stack(out_draws, dim=0) - out_draws = [] for _ in range(draws): if prior_i_eval is not None: @@ -2218,7 +2203,7 @@ def predict_fn(x_q, m_q, rng, draws=16): else: zi = torch.randn(len(x_q), 4, generator=rng, device=rng.device).to(device=self.device, dtype=x_q.dtype) cond = torch.cat([x_q * m_q, m_q, zi], dim=1) - raw = self.ema_G_i(cond) + raw = self.G_i(cond) grafted = m_q * x_q + (1.0 - m_q) * raw out_draws.append(grafted) return torch.stack(out_draws, dim=0) @@ -2234,76 +2219,36 @@ def predict_fn(x_q, m_q, rng, draws=16): z_m, _ = prior_m_eval.sample(n, generator=gen, noise_generator=noise_gen) else: z_m, _ = prior_m_eval.sample(n, generator=gen) - x = self.ema_G_x(z_x) + x = self.G_x(z_x) if isinstance(prior_eval, ManipulatedPrior) and prior_eval.postprocesses_generated: x = prior_eval.postprocess_generated(x) - m = self.ema_G_m(z_m) - return score_misgan_mcar_p80_anchored( + m = self.G_m(z_m) + return self._sampling_witness(score_misgan_mcar_p80_anchored( x, m, lambda x_q, m_q, r: predict_fn(x_q, m_q, r, draws=8), self.problem, eval_seed=seed - ) + ), posterior_resampling=False) - return score_misgan_neural_imputer(predict_fn, self.problem, eval_seed=seed) + return self._sampling_witness( + score_misgan_neural_imputer(predict_fn, self.problem, eval_seed=seed), + posterior_resampling=False) finally: for mod, flag in flags.items(): mod.training = flag def state_dict(self): - return { - "version": VERSION, - "case_id": self.case["id"], - "seed": self.seed, - "limit": self.limit, - "completed_steps": self.completed_steps, - "recipe": self.recipe.to_dict(), - "G_x": self.G_x.state_dict(), - "G_m": self.G_m.state_dict(), - "G_i": self.G_i.state_dict(), - "D_x": self.D_x.state_dict(), - "D_m": self.D_m.state_dict(), - "D_i": self.D_i.state_dict(), - "prior": self.prior_x.state_dict() if self.prior_x is not None else None, - "prior_m": self.prior_m.state_dict() if hasattr(self, "prior_m") and self.prior_m is not None else None, - "prior_i": self.prior_i.state_dict() if hasattr(self, "prior_i") and self.prior_i is not None else None, - "opt_g": self.opt_g.state_dict(), - "opt_d": self.opt_d.state_dict(), - "last_losses": self.last_losses, - } + return self._checkpoint_state() def load_state_dict(self, state): - self.completed_steps = state["completed_steps"] - self.G_x.load_state_dict(state["G_x"]) - self.G_m.load_state_dict(state["G_m"]) - self.G_i.load_state_dict(state["G_i"]) - self.D_x.load_state_dict(state["D_x"]) - self.D_m.load_state_dict(state["D_m"]) - self.D_i.load_state_dict(state["D_i"]) - if self.prior_x is not None and "prior" in state and state["prior"] is not None: - self.prior_x.load_state_dict(state["prior"]) - if hasattr(self, "prior_m") and self.prior_m is not None and "prior_m" in state and state["prior_m"] is not None: - self.prior_m.load_state_dict(state["prior_m"]) - if hasattr(self, "prior_i") and self.prior_i is not None and "prior_i" in state and state["prior_i"] is not None: - self.prior_i.load_state_dict(state["prior_i"]) - self.opt_g.load_state_dict(state["opt_g"]) - self.opt_d.load_state_dict(state["opt_d"]) - self.last_losses = state["last_losses"] - self.ema_G_x.load_state_dict(self.G_x.state_dict()) - self.ema_G_m.load_state_dict(self.G_m.state_dict()) - self.ema_G_i.load_state_dict(self.G_i.state_dict()) - if hasattr(self, "ema_prior_x") and self.prior_x is not None: - self.ema_prior_x.load_state_dict(self.prior_x.state_dict()) - if hasattr(self, "ema_prior_m") and self.prior_m is not None: - self.ema_prior_m.load_state_dict(self.prior_m.state_dict()) - if hasattr(self, "ema_prior_i") and self.prior_i is not None: - self.ema_prior_i.load_state_dict(self.prior_i.state_dict()) - self.last_losses = state["last_losses"] - - -def build_case(case_id,*,device="cpu",seed=DEFAULT_SEED,recipe_name="atlas",max_steps=None): + self._restore_checkpoint(state) + + +def build_case(case_id,*,device="cpu",seed=DEFAULT_SEED,recipe_name=None,max_steps=None): if case_id not in CASES: for mod in _iter_stretch_providers(): if any(row["id"] == case_id for row in mod.list_cases()): - return mod.build_case(case_id, device=device, seed=seed, recipe_name=recipe_name, max_steps=max_steps) + return mod.build_case(case_id, device=device, seed=seed, recipe_name=recipe_name or "atlas", max_steps=max_steps) raise ValueError(f"unknown conditional API case {case_id!r}") + if recipe_name is None: + recipe_name = CASES[case_id]["default_recipe"] if case_id in ("api-misgan-block-recovery", "api-misgan-mcar-p50-recovery"): return MisGANRecoveryFixture(deepcopy(CASES[case_id]), seed=seed, recipe_name=recipe_name, max_steps=max_steps, device=device) if case_id in ("api-misgan-block-neural-imputer", "api-misgan-mcar-p80-anchored"): diff --git a/benchmarks/toy_audit/api_contract.py b/benchmarks/toy_audit/api_contract.py index a2d5ebe87..bc658b839 100644 --- a/benchmarks/toy_audit/api_contract.py +++ b/benchmarks/toy_audit/api_contract.py @@ -20,7 +20,7 @@ from particlegan import Recipe, get_recipe -MODEL_PROVIDERS = ("api_model_ae", "api_model_vae", "api_model_ddgan", "api_model_ae_ddgan") +MODEL_PROVIDERS = ("api_model_ae", "api_model_vae", "api_model_ddgan", "api_model_ae_ddgan", "api_model_misgan") PROVIDERS = ("api_images", "api_vectors", "api_conditionals", "api_diagnostics", "api_ring16", "api_gaussian1d") + MODEL_PROVIDERS ROOT = Path(__file__).resolve().parents[2] CASE_ID = re.compile(r"^[a-zA-Z0-9][a-zA-Z0-9_-]*$") @@ -103,6 +103,17 @@ class UnsupportedRecipeOverrides(ValueError): """This fixture has no declared contract for arbitrary tuning overrides.""" +def validate_caller_objectives(recipe, *, provider, kind=None): + """Reject an active objective unless this caller actually consumes it.""" + if recipe.conditional_energy_weight and provider != "api_model_ddgan": + raise UnsupportedRecipeOverrides("conditional energy score requires the explicit DDGAN component consumer") + if recipe.joint_reconstruction_weight and (provider != "api_images" or kind != "word"): + raise UnsupportedRecipeOverrides("joint reconstruction objective requires the explicit word joint consumer") + if ((recipe.masked_mixture_weight or recipe.masked_transport_weight or recipe.imputer_component_weight) + and provider != "api_model_misgan"): + raise UnsupportedRecipeOverrides("masked mixture/imputer objectives require the explicit MisGAN component consumer") + + def validate_recipe_overrides(case, recipe_name, recipe_overrides): """Allow public tuning knobs without changing the host or sampling law.""" from experiments.forge.configuration_search import TUNABLE_FIELDS @@ -125,19 +136,23 @@ def validate_recipe_overrides(case, recipe_name, recipe_overrides): def build(case, *, device="cpu", seed=DEFAULT_SEED, recipe_name=None, max_steps=None, recipe_overrides=None, recipe=None): + if case.get("checkpoint_required") and not case.get("checkpoint_capabilities", {}).get("exact_continuation"): + raise UnsupportedRecipeOverrides(f"{case['id']}: required exact checkpoint continuation is unsupported by this provider") provider = import_module(f"benchmarks.toy_audit.{case['provider']}") recipe_name = recipe_name or case["default_recipe"] overrides = validate_recipe_overrides(case, recipe_name, recipe_overrides) options = {"recipe_overrides": overrides} if overrides else {} if recipe is not None: - if case["provider"] not in MODEL_PROVIDERS or not isinstance(recipe, Recipe) or overrides: - raise ValueError("resolved Recipe injection requires a model toy without tuning overrides") + if case["provider"] not in (*MODEL_PROVIDERS, "api_vectors") or not isinstance(recipe, Recipe) or overrides: + raise ValueError("resolved Recipe injection requires a supported model/vector toy without tuning overrides") + validate_caller_objectives(recipe, provider=case["provider"], kind=case.get("kind")) options["recipe"] = recipe with construction_rng(seed, device): fixture = provider.build_case(case["id"], device=device, seed=seed, recipe_name=recipe_name, max_steps=max_steps, **options) if not isinstance(fixture.recipe, Recipe): raise TypeError(f"{case['id']}: recipe must be the public particlegan.Recipe") + validate_caller_objectives(fixture.recipe, provider=case["provider"], kind=case.get("kind")) if not fixture.api_components or any(not isinstance(name, str) or not name for name in fixture.api_components): raise ValueError(f"{case['id']}: public API components must be identified") diff --git a/benchmarks/toy_audit/api_family_search.py b/benchmarks/toy_audit/api_family_search.py index dc24c71a4..10bf7547f 100644 --- a/benchmarks/toy_audit/api_family_search.py +++ b/benchmarks/toy_audit/api_family_search.py @@ -76,24 +76,25 @@ def proof_bindings(case, family): "sampling_sha256": digest(case["sampling"]), "source_files_sha256": _manifest(paths)} -def host_recipe_options(case): - """Disclose frozen fixture adaptations; these are never search dimensions.""" +def host_recipe_options(case, family="atlas"): + """Bind task resources and prior law, leaving trainer choices to the recipe.""" if case["provider"] == "api_images" and not case.get("query"): return dict(z_dim=case["z_dim"], num_particles=32, prior_kind="particles", sigma_rel=0, batch_size=case["batch_size"]) if case["provider"] == "api_vectors" and not case.get("caller_owned") and not case.get("penalty_arm"): options = dict(num_particles=case["particles"], z_dim=case["z_dim"], batch_size=case["batch_size"]) - options.update({key: (tuple(value) if key == "betas" else value) - for key, value in case.get("spec", {}).items() - if key in {"lr", "d_lr_mult", "prior_lr_mult", "prior_reg", "betas", "ema_decay"}}) - options.update(case.get("recipe_overrides", {})) + if get_recipe(family).continuous_policy is None: + options["total_steps"] = case["default_steps"] + if case.get("prior_options", {}).get("prior_kind") == "mog": + options.update(prior_kind="mog", standardize=case["prior_options"].get("standardize", False), + sigma_rel=case["prior_options"].get("sigma_rel", 0.025)) return options raise contract.UnsupportedRecipeOverrides("host has no declared policy-family tuning contract") def resolved_recipe(case, family, knobs): contract.validate_recipe_overrides(case, family, knobs) - return api_run.json_value(get_recipe(family, **{**host_recipe_options(case), **knobs}).to_dict()) + return api_run.json_value(get_recipe(family, **{**host_recipe_options(case, family), **knobs}).to_dict()) def _source(cases): @@ -234,7 +235,7 @@ def plan_study(spec, *, cases=None): except ValueError as error: blockers.append(str(error)) rows.append({**item, "case_sha256": digest(case), "status": "BLOCKED" if blockers else "UNKNOWN", - "fixed_host_recipe_options": api_run.json_value({key: value for key, value in host_recipe_options(case).items() + "fixed_host_recipe_options": api_run.json_value({key: value for key, value in host_recipe_options(case, family).items() if key not in TUNING_FIELDS}), "resolved_recipe_sha256": digest(resolved_recipe(case, family, knobs)), "blockers": blockers, "original_gate": None, "study_gate": None, diff --git a/benchmarks/toy_audit/api_gaussian1d.py b/benchmarks/toy_audit/api_gaussian1d.py index 68836d0ff..24402e9e8 100644 --- a/benchmarks/toy_audit/api_gaussian1d.py +++ b/benchmarks/toy_audit/api_gaussian1d.py @@ -6,7 +6,7 @@ import numpy as np -from . import gaussian1d_quality +from . import gaussian1d_quality # Bind the declared scorer before source capture. from .api_vectors import VectorFixture, _case, _digest, _law TASK_PATH = Path(__file__).resolve().parents[2] / "configs/forge/tasks/gaussian1d_acquisition.json" @@ -24,12 +24,12 @@ def list_cases(): task["description"], steps=spec["steps"], batch=spec["batch"], evaluation=4096, default_recipe="k3p", particles=spec["particles"], z_dim=spec["z_dim"], metric_family="gaussian1d_acquisition", spec=spec, thresholds=spec["thresholds"], - sample_evaluator="benchmarks.toy_audit.gaussian1d_quality:score_samples", + sample_evaluator=gaussian1d_quality.__name__ + ":score_samples", task_sha256=hashlib.sha256(TASK_PATH.read_bytes()).hexdigest(), law=law, law_sha256=_digest(law), protocol_seed=0, evaluation_observations=24, terminal_observations=5, - recipe_overrides=dict(prior_kind="mog", sigma_rel=0., standardize=prior["standardize"]), - prior_options=dict(sigma=prior["sigma"]), profile=dict(init_std=.5), + prior_options=dict(prior_kind=prior["kind"], sigma=prior["sigma"], + sigma_rel=0., standardize=prior["standardize"]), profile=dict(init_std=.5), initialization=dict(generator="deterministic_orthogonal seed0", discriminator="deterministic_orthogonal seed1", prior="deterministic_orthogonal R2Normal init_std=.5"), sampling="Live public GANTrainer.sample(output_noise=False); uniformly sampled learned MoG locations with fixed sigma=.025 latent Gaussian noise; standardize=False; no EMA.", scope="Acquire N(2, .5^2) in 1,000 updates from deterministic initialization; exact Gaussian CDF, location and width gates must pass at five terminal checks. Tier 1 remains provisional; this standalone API cohort grants no whole-view qualification.", diff --git a/benchmarks/toy_audit/api_images.py b/benchmarks/toy_audit/api_images.py index fa34fa4fe..8371b2dfb 100644 --- a/benchmarks/toy_audit/api_images.py +++ b/benchmarks/toy_audit/api_images.py @@ -1025,8 +1025,11 @@ def __init__(self): self.net = nn.Sequential(nn.Linear(2, 64), nn.LeakyReLU(.2), nn.Linear(64, 128), nn.LeakyReLU(.2), nn.Linear(128, WORD_DIM)) + def forward_logits(self, latent): + return self.net(latent).reshape(-1, len(WORD_CHARS), WORD_LENGTH) + def forward(self, latent): - return self.net(latent).reshape(-1, len(WORD_CHARS), WORD_LENGTH).softmax(1) + return self.forward_logits(latent).softmax(1) class WordEncoder(nn.Module): @@ -1162,6 +1165,10 @@ def step(self): loss_gan = self.loss.joint_g_loss(self.noisy_critic(_join_words(fake_words, latent)), self.noisy_critic(_join_words(real_words, encoded))) loss_g = loss_gan + self.recipe.prior_regularization(self.prior.z, regularizer=self.spread) + if self.recipe.joint_reconstruction_weight: + reconstruction = self.recipe.joint_reconstruction_loss( + self.G.forward_logits(encoded), real_words, categorical_dim=1) + loss_g = loss_g + reconstruction if self.transport is not None: # Categorical probability coordinates only. The joint latent # coordinates and inverse encoder retain their original loss. @@ -1181,7 +1188,10 @@ def protected_evaluator(): self.opt_g.step() self.policy.after_generator_step() self.policy.finish_step() - return dict(step=self.completed_steps, loss_d=loss_d.detach(), loss_g=loss_g.detach(), penalty=penalty.detach()) + result = dict(step=self.completed_steps, loss_d=loss_d.detach(), loss_g=loss_g.detach(), penalty=penalty.detach()) + if self.recipe.joint_reconstruction_weight: + result["joint_reconstruction"] = reconstruction.detach() + return result except Exception: self.policy.abort_step() raise diff --git a/benchmarks/toy_audit/api_model_ae.py b/benchmarks/toy_audit/api_model_ae.py index c2ca644dc..7cb68ed2b 100644 --- a/benchmarks/toy_audit/api_model_ae.py +++ b/benchmarks/toy_audit/api_model_ae.py @@ -144,6 +144,8 @@ def task_recipe(case, recipe_name=None, recipe=None): # rates, losses and optimizer remain recipe-owned. Scheduled trainers bind # the task horizon; intentionally schedule-free trainers retain None. result = recipe if injected else recipe.replace(**FROZEN_RECIPE_FIELDS, total_steps=None if recipe.total_steps is None else 1200) + from .api_contract import validate_caller_objectives + validate_caller_objectives(result, provider="api_model_ae") if (result.row_policy != "independent" or result.row_evidence_gate or result.particle_birth_death or result.serve_average or result.constraint_geometry_mode == "strict_progress"): @@ -181,7 +183,8 @@ def __init__(self, case, *, device="cpu", seed=0, recipe_name=None, max_steps=No init.deterministic_orthogonal_(model, seed=seed + offset) ema = None if self.recipe.effective_critic_formulation == "bispf" else deepcopy(self.D) self.opt_g, self.opt_d = self.recipe.make_optimizers(self.G, self.D, self.prior, encoder=self.E, - ema_critic=ema, foreach=False, fused=False) + ema_critic=ema, separate_encoder_groups=True, + foreach=False, fused=False) self.loss = self.recipe.make_loss() self.penalty = self.recipe.make_critic_penalty(self.opt_d, collect_stats=True) self.regularizer = self.recipe.make_prior_regularizer(prior=self.prior) diff --git a/benchmarks/toy_audit/api_model_ddgan.py b/benchmarks/toy_audit/api_model_ddgan.py index b718bfc1f..2fb7702fd 100644 --- a/benchmarks/toy_audit/api_model_ddgan.py +++ b/benchmarks/toy_audit/api_model_ddgan.py @@ -15,7 +15,8 @@ import torch from torch import nn -from particlegan import DDGAN, MoGParticlePrior, Recipe, UpdatePolicy, get_recipe, init +from particlegan import (DDGAN, MoGParticlePrior, Recipe, UpdatePolicy, + conditional_energy_score, get_recipe, init) from particlegan.optim.constraint_geometry import constraint_geometry_backward from experiments.forge.rng import NamedStreams from .reproducibility import DEFAULT_SEED, construction_rng @@ -284,6 +285,10 @@ def task_recipe(case, recipe_name=None, recipe=None): else: result = get_recipe(recipe_name, **fields) from experiments.forge.api import policy_controls + if result.conditional_energy_weight and fields["encoder_mode"] != "none": + raise ValueError("conditional energy score is not bound by the AE-DDGAN reconstruction host") + from .api_contract import validate_caller_objectives + validate_caller_objectives(result, provider="api_model_ddgan") if (policy_controls(result) or result.row_policy != "independent" or result.input_noise_std or result.output_noise_std or result.kinetic_transport_weight or result.kinetic_transport_local_weight or result.constraint_geometry_mode == "strict_progress"): @@ -303,7 +308,19 @@ def make_encoder(self): def extra_generator_objective(self, clean, xt, t): """Return (extra loss, protected losses, scalar diagnostics).""" - return clean.new_zeros(()), (), {} + if not self.recipe.conditional_energy_weight: + return clean.new_zeros(()), (), {} + k = self.recipe.conditional_energy_samples + # Auxiliary draws never advance the adversarial or target streams. + z, indices = self.prior.sample(len(clean) * k, + generator=self._rng("prior", "energy_latent"), + noise_generator=self._rng("noise", "energy_kernel")) + self.bind_prior_rows(indices) + predictions = self.G(xt.repeat_interleave(k, 0), z, + t.repeat_interleave(k)).reshape(len(clean), k, *clean.shape[1:]) + score = conditional_energy_score(predictions, clean) + weighted = self.recipe.conditional_energy_weight * score + return weighted, (weighted,), {"conditional_energy": float(score.detach())} def __init__(self, case, *, device="cpu", seed=0, recipe_name=None, max_steps=None, recipe=None): self.case, self.seed, self.device = deepcopy(case), int(seed), torch.device(device) @@ -331,7 +348,8 @@ def __init__(self, case, *, device="cpu", seed=0, recipe_name=None, max_steps=No self.cond_post_std = post_var.sqrt().to(self.device) self.recipe.apply_prior_policy(self.prior) self.opt_g, self.opt_d = self.recipe.make_optimizers(self.G, self.D, self.prior, - encoder=self.E, ema_critic=None if self.recipe.effective_critic_formulation == "bispf" else deepcopy(self.D)) + encoder=self.E, separate_encoder_groups=self.E is not None, + ema_critic=None if self.recipe.effective_critic_formulation == "bispf" else deepcopy(self.D)) self.base_rates = [[group["lr"] for group in optimizer.param_groups] for optimizer in (self.opt_g, self.opt_d)] self.loss = self.recipe.make_loss() self.prior_regularizer = self.recipe.make_prior_regularizer(prior=self.prior) diff --git a/benchmarks/toy_audit/api_model_misgan.py b/benchmarks/toy_audit/api_model_misgan.py new file mode 100644 index 000000000..7259372b9 --- /dev/null +++ b/benchmarks/toy_audit/api_model_misgan.py @@ -0,0 +1,538 @@ +"""BISPF MisGAN with genuinely incomplete training and a neural amortized imputer. + +Explicit four-mode architecture/target variant; never qualifies the historical +100-mode MLP recovery or imputer tasks. Complete examples are evaluation-only. +""" +from copy import copy, deepcopy +import hashlib +import json +import math +from pathlib import Path + +import torch +from torch import nn +from torch.nn import functional as F +from particlegan import Recipe, UpdatePolicy, init +from particlegan.masked_mixture import NeuralComponentImputer, masked_mixture_nll, masked_quantile_transport_loss +from particlegan.optim.constraint_geometry import constraint_geometry_backward +from .reproducibility import construction_rng +from .api_sources.misgan import BLOCK_PATTERNS, sample_masks, pattern_index, pattern_probs + +ROOT = Path(__file__).resolve().parents[2] +VERSION = "misgan-four-mode-independent-games-v2" +DEFAULT_RECIPE = "bispf-optimized-quintic-v1" +CASE_ID = "api-model-misgan-four-mode" +TASK_ID = "model_misgan_four_mode" +RESOURCES = dict(num_particles=64, z_dim=2, batch_size=256) +CENTERS = ((-1., -1.), (-1., 1.), (1., -1.), (1., 1.)) +SIGMA = .08 +BOUNDS = (("modes", ">=", 4), ("hq", ">=", .90), ("mass_tv", "<=", .10), + ("off_plane", "<=", .04), ("mask_tv", "<=", .05), + ("imputer_observed_error", "<=", 1e-6), ("imputer_accuracy", ">=", .94), + ("ambiguous_hq", ">=", .90), ("ambiguous_mass_tv", "<=", .12), + ("ambiguous_query_coverage", ">=", .90), ("ambiguous_std_ratio", ">=", .70), + ("ambiguous_std_ratio", "<=", 1.30)) + + +def _digest(value): + from experiments.forge.state import state_digest + return state_digest(value) + + +FROZEN_HOST = {'provider': 'benchmarks.toy_audit.api_model_misgan', 'case_id': 'api-model-misgan-four-mode', 'resources': {'num_particles': 64, 'z_dim': 2, 'batch_size': 256}, 'num_particles': 64, 'z_dim': 2, 'batch_size': 256, 'init_std': 0.5, 'target': {'kind': 'four_corner_hadamard8', 'means': [[-1.0, -1.0], [-1.0, 1.0], [1.0, -1.0], [1.0, 1.0]], 'sigma': 0.08, 'masses': [0.25, 0.25, 0.25, 0.25]}, 'architecture': {'generator': 'affine_2_to_8', 'mask': 'categorical4_linear1', 'imputer': '16_64_64_64_neural_logits', 'critics': '64_64'}, 'recipe_fields': {'model': 'gan', 'conditioning': 'scalar', 'encoder_mode': 'none', 'observation_sigma': 0.08, 'reconstruction_weight': 1.0}} +FROZEN_HOST["execution_contract"] = VERSION +FROZEN_QUESTION = 'Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass.' + +def list_cases(): + return [dict(id=CASE_ID, legacy_ids=["pr196-block-recovery", "pr196-block-neural-imputer"], + title="MisGAN: incomplete four-mode recovery and neural multimodal imputation", + goal=FROZEN_QUESTION, kind="vector", default_steps=1200, + batch_size=256, eval_samples=4096, default_recipe=DEFAULT_RECIPE, + evaluation_observations=24, terminal_observations=5, protocol_seed=0, execution_contract=VERSION, + thresholds=[list(x) for x in BOUNDS], forge_thresholds=[list(x) for x in BOUNDS], + sampling="Clean live learned MoG64 R2 sigma=.025 -> learned affine 8D G_x; learned four-pattern categorical G_m. G_i neural logits on x*m,m sample a component and independent MoG noise through G_x; no component distances, ppost or oracle at inference.", + scope="Explicit four-corner sigma=.08 target with a fixed Hadamard 8x2 lift. Same four block masks and masses as original MisGAN; sensor7 sees x+y, leaving two equally probable branches at zero. Original 100-mode MLP questions remain unchanged.", + adaptation="New identifiable target, affine generator, categorical mask support learned from observed masks, and neural categorical amortizer; no complete real data reaches training.", + host_definition=deepcopy(FROZEN_HOST))] + + +class Problem: + def __init__(self, device="cpu"): + self.device = torch.device(device) + self.A = torch.tensor([[1., 1.], [1., -1.]] * 3 + [[1., -1.], [1., 1.]], dtype=torch.float32, device=device) / math.sqrt(8) + rng = torch.Generator().manual_seed(0) + centers = torch.tensor(CENTERS) + def draw(n): + y = torch.randint(4, (n,), generator=rng) + z = centers[y] + SIGMA * torch.randn(n, 2, generator=rng) + return (z @ self.A.cpu().T).to(device), y.to(device) + full, _ = draw(20000) + self.m_train = sample_masks("block", 20000, rng, device=device) + count = self.m_train.sum(0) + self.mean = (full * self.m_train).sum(0) / count + self.std = (((full-self.mean).square() * self.m_train).sum(0) / count).sqrt() + # The complete training pool is discarded here, before training exists. + self.observed = self.standardize(full) * self.m_train + raw, self.y_test = draw(4096) + self.x_test = self.standardize(raw) + self.m_test = sample_masks("block", 4096, rng, device=device) + self.data_law_rng = rng.get_state().clone() + self.centers = centers.to(device) + self.patterns = torch.zeros(4, 8, device=device) + for row, (sensors, _) in enumerate(BLOCK_PATTERNS): + self.patterns[row, list(sensors)] = 1 + + def standardize(self, x): + return (x-self.mean)/self.std + + def to2d(self, x): + return (x*self.std+self.mean) @ self.A + + def batch(self, count, generator): + ids = torch.randint(len(self.observed), (count,), generator=generator, device=self.device) + return self.observed[ids], self.m_train[ids] + + def ambiguous_queries(self): + # Sixteen held-out noisy sums, all overwhelmingly identify the two + # mixed-sign modes; each conditional retains equiprobable branches. + raw = torch.zeros(16, 8, device=self.device) + raw[:, 7] = torch.linspace(-.03, .03, 16, device=self.device) + masks = torch.zeros_like(raw); masks[:, 7] = 1 + return self.standardize(raw) * masks, masks + + +class Generators(nn.Module): + def __init__(self): + super().__init__() + self.data = nn.Linear(2, 8) + self.mask = nn.Linear(1, 4) + self.imputer = NeuralComponentImputer(8, 64, 64) + + def forward(self, z): + return self.data(z) + + +def critic(dim): + return nn.Sequential(nn.Linear(dim, 64), nn.LeakyReLU(.2), nn.Linear(64, 64), nn.LeakyReLU(.2), nn.Linear(64, 1)) + + +def task_recipe(case, recipe_name=None, recipe=None): + if case.get("execution_contract") != VERSION or case.get("host_definition") != FROZEN_HOST: + raise ValueError("incompatible historical four-mode MisGAN execution; use its original source") + injected = recipe is not None + if recipe is None: + name = DEFAULT_RECIPE if recipe_name in (None, "auto") else recipe_name + recipe = Recipe.from_dict(json.loads((ROOT / f"configs/forge/ideas/{name}.json").read_text())["recipe_overrides"]) + fixed = dict(**RESOURCES, prior_kind="mog", standardize=False, sigma_rel=0., + model="gan", conditioning="scalar", encoder_mode="none", observation_sigma=.08, + reconstruction_weight=1.) + if injected and any(getattr(recipe, k) != v for k, v in fixed.items()): + raise ValueError("injected recipe conflicts with frozen MisGAN task resources/objectives") + if not injected: + recipe = recipe.replace(**fixed, total_steps=1200) + from .api_contract import validate_caller_objectives + validate_caller_objectives(recipe, provider="api_model_misgan") + unsupported = [name for name in ("continuous_policy", "output_noise_std", "input_noise_std", + "serve_average", "kinetic_transport_weight", "kinetic_transport_local_weight", + "row_evidence_gate", "particle_birth_death", "latent_damping_max_rate") + if getattr(recipe, name)] + if recipe.training_precision != "float32": + unsupported.append("training_precision") + if recipe.kappa_radial != 1.: + unsupported.append("kappa_radial") + if recipe.output_noise_mode != "fixed": + unsupported.append("output_noise_mode") + if recipe.constraint_geometry_mode == "strict_progress": + unsupported.append("constraint_geometry_mode=strict_progress") + if recipe.lr_control == "stationarity": + unsupported.append("lr_control=stationarity") + if recipe.row_policy != "independent": + unsupported.append("row_policy") + if recipe.prior_code_law != "table": + unsupported.append("prior_code_law") + if recipe.effective_critic_formulation != "bispf": + unsupported.append("critic_formulation") + if unsupported: + from .api_contract import UnsupportedRecipeOverrides + raise UnsupportedRecipeOverrides("four-mode MisGAN cannot execute the intact recipe mechanisms: " + + ", ".join(unsupported)) + return recipe + + +def score(problem, generated, masks, predictions, ambiguous): + x2 = problem.to2d(generated) + distances = torch.cdist(x2, problem.centers) + nearest, ids = distances.min(1) + counts = torch.bincount(ids, minlength=4).float()/len(ids) + quality_counts = torch.bincount(ids[nearest <= 3*SIGMA], minlength=4) + raw = generated*problem.std+problem.mean + residual = raw - x2 @ problem.A.T + empiric = torch.bincount(pattern_index(masks), minlength=256).float()/len(masks) + imp2 = problem.to2d(predictions) + pred_ids = torch.cdist(imp2, problem.centers).argmin(-1) + ax2 = problem.to2d(ambiguous) + adist, aid = torch.cdist(ax2, problem.centers).min(-1) + mass1 = (aid == 1).float().mean(0) + mass2 = (aid == 2).float().mean(0) + observed_error = ((predictions - problem.x_test) * problem.m_test).abs().max() + amask = torch.zeros(16, 8, device=generated.device); amask[:, 7] = 1 + ax, _ = problem.ambiguous_queries() + observed_error = torch.maximum(observed_error, ((ambiguous - ax) * amask).abs().max()) + coordinate = (ax2[..., 0] - ax2[..., 1])/math.sqrt(2) + metrics = dict(modes=int((quality_counts >= 10).sum()), hq=float((nearest <= 3*SIGMA).float().mean()), + mass_tv=float((counts-.25).abs().sum()/2), off_plane=float(residual.square().mean().sqrt()), + mask_tv=float((empiric-pattern_probs("block").to(empiric)).abs().sum()/2), + imputer_observed_error=float(observed_error), + imputer_accuracy=float((pred_ids == problem.y_test).float().mean()), + ambiguous_hq=float((adist <= 3*SIGMA).float().mean()), + ambiguous_mass_tv=float(((mass1-.5).abs()+(mass2-.5).abs()+1-mass1-mass2).mean()/2), + ambiguous_query_coverage=float(((mass1 >= .15) & (mass2 >= .15)).float().mean()), + ambiguous_std_ratio=float(coordinate.std(0).mean()/math.sqrt(2+SIGMA**2))) + failures = [f"{name}={metrics[name]:.6g} {op} {bound} failed" for name, op, bound in BOUNDS + if not (math.isfinite(metrics[name]) and (metrics[name] >= bound if op == ">=" else metrics[name] <= bound))] + return dict(metrics=metrics, passed=not failures, failed_bounds=failures, + views=[dict(kind="scatter", title="Complete generator: target and actual", target=problem.centers.cpu(), samples=x2[:1024].cpu(), xlim=[-1.7,1.7], ylim=[-1.7,1.7]), + dict(kind="scatter", title="Held-out single-sensor posterior: two branches", target=problem.centers[[1,2]].cpu(), samples=ax2[:,0].cpu(), xlim=[-1.7,1.7], ylim=[-1.7,1.7], caption="Actual neural conditional logits are sampled; no component distances or ppost at inference.")]) + + +class MisGANFixture: + api_components = ("particlegan.Recipe", "Recipe.make_prior", "Recipe.make_optimizers", "Recipe.make_critic_penalty", + "Recipe.prior_regularization", "particlegan.UpdatePolicy", "particlegan.init", + "particlegan.masked_mixture.masked_mixture_nll", "particlegan.masked_mixture.NeuralComponentImputer") + + def __init__(self, case, *, device="cpu", seed=0, recipe_name=None, max_steps=None, recipe=None): + if seed != 0: + raise ValueError("this comparison is bound to protocol seed 0") + self.metadata = deepcopy(case); self.device = torch.device(device) + self.execution_steps = case["default_steps"] if max_steps is None else max_steps + self.recipe = task_recipe(case, recipe_name, recipe) + self.problem = Problem(device) + with construction_rng(seed, self.device): + self.G = Generators().to(device) + self.D = nn.ModuleDict(dict(data=critic(16), mask=critic(8), imputer=critic(16))).to(device) + self.prior_constructor_rng = torch.Generator(device=self.device).manual_seed(0) + self.prior = self.recipe.make_prior(sigma=.025, init_std=.5, device=device, generator=self.prior_constructor_rng) + self.constructor_rng = torch.random.get_rng_state().clone() + self.constructor_cuda_rng = torch.cuda.get_rng_state(device).clone() if self.device.type == "cuda" else None + for index, model in enumerate((self.G, self.D, self.prior)): + init.deterministic_orthogonal_(model, seed=index) + # The shared generator/prior update retains its original ordering. + # Each distinct adversarial game owns its complete critic history. + self.opt_g, self.opt_d = self.recipe.make_optimizers( + self.G, self.D["data"], self.prior, foreach=False, fused=False) + self.critic_optimizers = {"data": self.opt_d} + for role in ("mask", "imputer"): + self.critic_optimizers[role] = self.recipe.make_critic_optimizer( + self.D[role], foreach=False, fused=False) + self.losses = {role: self.recipe.make_loss() for role in self.D} + self.penalties = {role: self.recipe.make_critic_penalty(optimizer, collect_stats=True) + for role, optimizer in self.critic_optimizers.items()} + self.regularizer = self.recipe.make_prior_regularizer(prior=self.prior) + from particlegan.bispf import bind_thermal_source + for role, optimizer in self.critic_optimizers.items(): + bind_thermal_source(optimizer.record, self.losses[role], + self.regularizer if role == "data" else None) + self.penalty = self.penalties["data"] + # V2 explicitly anchors the single generator policy to the data game. + # Unsupported multi-game controllers are rejected in task_recipe. + self.policy = UpdatePolicy(self.recipe, self.G, self.D["data"], prior=self.prior, + generator_optimizer=self.opt_g, critic_optimizer=self.opt_d, + penalty=self.penalty, seed=seed) + self.critic_initial_lrs = {role: [group["lr"] for group in optimizer.param_groups] + for role, optimizer in self.critic_optimizers.items()} + self.stream_names = ("data_rng", "generator_data_rng", "prior_noise_rng", "mask_rng", "imputer_rng", "model_rng") + for index, name in enumerate(self.stream_names): + setattr(self, name, torch.Generator(device=self.device).manual_seed(101+index)) + self.batch_sequence_sha256 = hashlib.sha256(b"misgan-four-mode-batches-v1").hexdigest() + self._checkpoint_ready = True + + @property + def completed_steps(self): + return self.policy.completed_steps + + def _draw(self): + return self.prior.sample(self.recipe.batch_size, generator=self.policy.latent_generator, noise_generator=self.prior_noise_rng) + + def _mask(self, n, rng): + logits = self.G.mask(torch.ones(n, 1, device=self.device)) + u = torch.rand(logits.shape, device=self.device, generator=rng).clamp(1e-6,1-1e-6) + soft = ((logits - torch.log(-torch.log(u)))/.5).softmax(-1) + hard = F.one_hot(soft.argmax(-1),4).to(soft) + return ((hard-soft).detach()+soft) @ self.problem.patterns, logits + + def _impute(self, x, m, rng, draws=1): + ids = self.G.imputer.draw_indices(x, m, draws=draws, generator=rng) + eps = torch.randn((*ids.shape, 2), generator=rng, device=self.device) + values = self.G.data(self.prior.z[ids] + self.prior.sigma*eps) + return x*m + values*(1-m) + + def step(self): + if self.completed_steps >= self.execution_steps: + raise RuntimeError("declared update budget reached") + if not self._checkpoint_ready: + raise RuntimeError("interrupted MisGAN update requires complete checkpoint restoration") + self._checkpoint_ready = False + devices = [self.device.index] if self.device.type == "cuda" else [] + with torch.autograd.set_multithreading_enabled(False), torch.random.fork_rng(devices=devices): + if self.device.type == "cuda": + torch.cuda.set_rng_state(self.model_rng.get_state(), self.device) + else: + torch.set_rng_state(self.model_rng.get_state()) + try: + result = self._step() + finally: + state = (torch.cuda.get_rng_state(self.device) if self.device.type == "cuda" + else torch.get_rng_state()) + self.model_rng.set_state(state) + self._checkpoint_ready = True + return result + + def _step(self): + x_d,m_d = self.problem.batch(self.recipe.batch_size,self.data_rng) + x_g,m_g = self.problem.batch(self.recipe.batch_size,self.generator_data_rng) + digest = _digest(dict(x_d=x_d,m_d=m_d,x_g=x_g,m_g=m_g)) + self.batch_sequence_sha256 = hashlib.sha256(bytes.fromhex(self.batch_sequence_sha256)+bytes.fromhex(digest)).hexdigest() + self.policy.begin_step(x_d,game_record=self.penalty.regularizer.record,execution_limit=self.execution_steps) + from particlegan.recipes import scale_learning_rates + from particlegan.recipe_schedules import apply_penalty_schedule + for role in ("mask", "imputer"): + scale_learning_rates(self.completed_steps, self.recipe, + [self.critic_optimizers[role]], [self.critic_initial_lrs[role]]) + apply_penalty_schedule(self.completed_steps, self.recipe, self.penalties[role]) + self.G.eval(); self.D.train() + with torch.no_grad(): + z,rows = self._draw(); fake = self.policy.generate(z,rows=rows) + mf,_ = self._mask(len(x_d),self.mask_rng) + complete = self._impute(x_d,m_d,self.imputer_rng)[0] + self.policy.observe_support(z) + real = (torch.cat((x_d,m_d),1), m_d, torch.cat((fake,m_d),1)) + fakes = (torch.cat((fake*mf,mf),1), mf, torch.cat((complete,m_d),1)) + dl = x_d.new_zeros(()) + critic_adversarial = x_d.new_zeros(()) + for (role, model), r, f in zip(self.D.items(), real, fakes): + adversarial_d = self.losses[role].d_loss(model(r), model(f)) + critic_adversarial = critic_adversarial + adversarial_d + dl = dl + adversarial_d + self.penalties[role](model, r, f) + for optimizer in self.critic_optimizers.values(): + optimizer.zero_grad(set_to_none=True) + dl.backward() + for optimizer in self.critic_optimizers.values(): + optimizer.step() + self.policy.after_critic_step() + self.D.eval(); self.G.train(); self.D.requires_grad_(False) + try: + z,rows = self._draw(); fake = self.policy.generate(z,rows=rows) + mf,logits = self._mask(len(x_g),self.mask_rng) + # The categorical imputer's GAN gradient uses a straight-through + # Gumbel draw, while serving uses its actual categorical law. + ilogits = self.G.imputer(x_g,m_g) + u = torch.rand(ilogits.shape,generator=self.imputer_rng,device=self.device).clamp(1e-6,1-1e-6) + soft = ((ilogits-torch.log(-torch.log(u)))/.5).softmax(-1) + hard = F.one_hot(soft.argmax(-1),64).to(soft) + table = self.G.data(self.prior.z) + component_codes = ((hard-soft).detach()+soft) @ self.prior.z.detach() + imputer_noise = torch.randn(component_codes.shape,generator=self.imputer_rng,device=self.device) + # Gradients reach the conditional logits through a frozen affine + # decoder; the sampled kernel is identical to serving. + decoded = F.linear(component_codes+self.prior.sigma*imputer_noise, + self.G.data.weight.detach(),self.G.data.bias.detach()) + imputed = x_g + (1-m_g) * decoded + gx = self.losses["data"].g_loss(self.D["data"](torch.cat((fake*mf.detach(),mf.detach()),1)),self.D["data"](torch.cat((x_g,m_g),1))) + gm = self.losses["mask"].g_loss(self.D["mask"](mf),self.D["mask"](m_g)) + gi = self.losses["imputer"].g_loss(self.D["imputer"](torch.cat((imputed,m_g),1)),self.D["imputer"](torch.cat((fake.detach(),m_g),1))) + adversarial = gx+gm+gi + # Draw synthetic labels in every arm, so an auxiliary cannot shift + # the later prior/noise/data sequence relative to the baseline. + teacher_z,teacher_ids = self._draw() + synthetic = self.G.data(teacher_z).detach() + categorical = self.G.imputer.synthetic_loss(synthetic,m_g,teacher_ids) + mixture = masked_mixture_nll(x_g,m_g,table,sigma=self.recipe.observation_sigma) + mask_ids = torch.cdist(m_g,self.problem.patterns).argmin(1) + mask_nll = F.cross_entropy(logits,mask_ids) + transport = (masked_quantile_transport_loss(fake,x_g,m_g,projections=self.recipe.kinetic_transport_projections) + if self.recipe.masked_transport_weight else fake.new_zeros(())) + auxiliary = (self.recipe.masked_mixture_weight*mixture + self.recipe.masked_transport_weight*transport + + (self.recipe.masked_mixture_weight+self.recipe.masked_transport_weight)*mask_nll + + self.recipe.imputer_component_weight*categorical) + regularization = self.recipe.prior_regularization(self.prior.z,regularizer=self.regularizer) + self.policy.observe_sampled_rows(torch.arange(64,device=self.device)) + self.opt_g.zero_grad(set_to_none=True) + protected = (adversarial,auxiliary) if auxiliary.requires_grad and (self.recipe.masked_mixture_weight or self.recipe.masked_transport_weight or self.recipe.imputer_component_weight) else (adversarial,) + constraint_geometry_backward(adversarial+auxiliary+regularization,self.opt_g,protected) + self.policy.after_generator_backward(loss_gan=adversarial.detach(),loss_critic=critic_adversarial.detach()) + self.opt_g.step(); self.policy.after_generator_step() + finally: + self.D.requires_grad_(True) + self.policy.finish_step() + return dict(step=self.completed_steps,loss_d=float(dl.detach()),loss_g=float(adversarial.detach()),masked_nll=float(mixture.detach()),masked_transport=float(transport.detach()),synthetic_ce=float(categorical.detach())) + + @torch.no_grad() + def observe(self,n=4096,seed=10000): + rng = torch.Generator(device=self.device).manual_seed(seed) + z,_ = self.prior.sample(n,generator=rng) + fake = self.G.data(z) + masks,_ = self._mask(n,rng) + predictions = self._impute(self.problem.x_test*self.problem.m_test,self.problem.m_test,rng,draws=1)[0] + x,m = self.problem.ambiguous_queries() + ambiguous = self._impute(x,m,rng,draws=256) + result = score(self.problem,fake,masks,predictions,ambiguous) + result["observed_sampling"] = dict(contract=VERSION, scoring_weights="live", + predictor="G.imputer neural categorical logits and G.data", posterior_resampling=False, + sampling_law="uniform_MoG64_sigma_0.025", eval_output_noise="clean") + return result + + def _checkpoint_state(self, *, allow_interrupted=False): + if not allow_interrupted and not self._checkpoint_ready: + raise RuntimeError("MisGAN checkpoints require a completed update boundary") + policy = copy(self.policy) + policy._phase, policy._fast = "ready", None + owners = {"G": self.G, "D": self.D, "prior": self.prior, "regularizer": self.regularizer} + penalties = {} + for role, penalty in self.penalties.items(): + penalties[role] = dict(record=penalty.optimizer.record.state_dict(), + cooler=penalty.regularizer.cooler.state_dict(), + coeff=penalty.regularizer.coeff, last_stats=penalty.last_stats) + return deepcopy(dict( + version=VERSION, metadata_sha256=_digest(self.metadata), recipe=self.recipe.to_dict(), + execution_steps=self.execution_steps, policy=policy.state_dict(), + models={role: model.state_dict() for role, model in owners.items()}, + critic_optimizers={role: optimizer.state_dict() for role, optimizer in self.critic_optimizers.items()}, + critic_initial_lrs=self.critic_initial_lrs, penalties=penalties, + streams={name: getattr(self, name).get_state() for name in (*self.stream_names, "prior_constructor_rng")}, + constructor_rng=self.constructor_rng, constructor_cuda_rng=self.constructor_cuda_rng, + batch_sequence_sha256=self.batch_sequence_sha256, data_law_rng=self.problem.data_law_rng, + modes={role: {path: module.training for path, module in model.named_modules()} for role, model in owners.items()}, + requires_grad={role: {name: param.requires_grad for name, param in model.named_parameters()} + for role, model in owners.items()}, + gradients={role: {name: None if param.grad is None else param.grad for name, param in model.named_parameters()} + for role, model in owners.items()})) + + def state_dict(self): + return self._checkpoint_state() + + def load_state_dict(self, state): + from particlegan.policy import _validate_optimizer_state + from particlegan.recipe_schedules import cosine_value + if not isinstance(state, dict) or state.get("version") != VERSION: + raise ValueError("incompatible historical MisGAN checkpoint; resume with its original source") + # Loaders may retain moment tensors: never alias the caller's snapshot. + state = deepcopy(state) + expected = self._checkpoint_state(allow_interrupted=True) + if state.keys() != expected.keys(): + raise ValueError("invalid complete MisGAN checkpoint fields") + for name in ("metadata_sha256", "recipe", "execution_steps", "critic_initial_lrs", "requires_grad"): + if state[name] != expected[name]: + raise ValueError(f"incompatible MisGAN checkpoint {name}") + owners = {"G": self.G, "D": self.D, "prior": self.prior, "regularizer": self.regularizer} + try: + for name in ("models", "critic_optimizers", "penalties", "streams", "modes", "gradients"): + if not isinstance(state[name], dict) or state[name].keys() != expected[name].keys(): + raise ValueError(f"incomplete {name}") + validator = copy(self.policy) + validator._phase, validator._fast = "ready", None + validator._check_state(state["policy"]) + steps = state["policy"]["completed_steps"] + if type(steps) is not int or not 0 <= steps <= self.execution_steps: + raise ValueError("invalid update count") + # The policy and explicit owners must describe the same shared objects. + for role, policy_role in (("G", "generator"), ("prior", "prior")): + if _digest(state["models"][role]) != _digest(state["policy"]["models"][policy_role]): + raise ValueError("contradictory policy/model state") + data_model = {name.removeprefix("data."): value for name, value in state["models"]["D"].items() + if name.startswith("data.")} + if _digest(data_model) != _digest(state["policy"]["models"]["critic"]): + raise ValueError("contradictory data critic model") + if _digest(state["critic_optimizers"]["data"]) != _digest(state["policy"]["optimizers"][1]): + raise ValueError("contradictory data critic optimizer") + for role, model in owners.items(): + saved = state["models"][role] + UpdatePolicy._check_tensors(saved, expected["models"][role], f"MisGAN/{role}") + if any(not torch.isfinite(value).all() for value in saved.values() if isinstance(value, torch.Tensor)): + raise ValueError("nonfinite model state") + deepcopy(model).load_state_dict(saved) + modes = state["modes"][role] + if (not isinstance(modes, dict) or modes.keys() != expected["modes"][role].keys() + or any(type(flag) is not bool for flag in modes.values())): + raise ValueError("invalid module modes") + gradients = state["gradients"][role] + parameters = dict(model.named_parameters()) + if not isinstance(gradients, dict) or gradients.keys() != parameters.keys(): + raise ValueError("invalid gradient fields") + for name, value in gradients.items(): + parameter = parameters[name] + if value is not None and (not isinstance(value, torch.Tensor) + or value.shape != parameter.shape or value.dtype != parameter.dtype + or not torch.isfinite(value).all()): + raise ValueError("invalid saved gradient") + for role, optimizer in self.critic_optimizers.items(): + saved = state["critic_optimizers"][role] + _validate_optimizer_state(optimizer, saved) + values = state["penalties"][role] + if not isinstance(values, dict) or values.keys() != expected["penalties"][role].keys(): + raise ValueError("invalid penalty fields") + record = saved.get("regularizer", {}).get("record") + if _digest(record) != _digest(values["record"]): + raise ValueError("contradictory optimizer/penalty history") + if record["observed_steps"] != steps: + raise ValueError("critic history has the wrong update count") + penalty = self.penalties[role] + deepcopy(optimizer.record).load_state_dict(values["record"]) + cooler = values["cooler"] + declaration = expected["penalties"][role]["cooler"] + if not isinstance(cooler, dict) or cooler.keys() != declaration.keys(): + raise ValueError("incomplete cooler state") + if any(cooler[k] != declaration[k] for k in declaration.keys() - {"ema_residual", "initialized"}): + raise ValueError("changed cooler declaration") + if (type(cooler["initialized"]) is not bool or type(cooler["ema_residual"]) not in (int, float) + or not math.isfinite(cooler["ema_residual"]) or cooler["ema_residual"] < 0): + raise ValueError("invalid cooler history") + deepcopy(penalty.regularizer.cooler).load_state_dict(cooler) + coefficient = penalty.initial_coeff + if self.recipe.reg_coeff_end is not None: + coefficient = cosine_value(max(0, steps - 1), coefficient, self.recipe.reg_coeff_end, + self.recipe.reg_coeff_anneal_end, self.recipe.total_steps) + if type(values["coeff"]) not in (int, float) or values["coeff"] != coefficient: + raise ValueError("penalty coefficient differs from the recipe schedule") + if not isinstance(values["last_stats"], dict): + raise ValueError("invalid penalty diagnostics") + json.dumps(values["last_stats"], allow_nan=False) + for name, value in state["streams"].items(): + torch.Generator(device=getattr(self, name).device).set_state(value.cpu()) + for name in ("constructor_rng", "constructor_cuda_rng", "data_law_rng"): + if _digest(state[name]) != _digest(expected[name]): + raise ValueError("immutable constructor/data law differs") + digest = state["batch_sequence_sha256"] + if not isinstance(digest, str) or len(digest) != 64 or any(c not in "0123456789abcdef" for c in digest): + raise ValueError("invalid consumed-batch digest") + except (KeyError, TypeError, ValueError, RuntimeError, AttributeError) as error: + raise ValueError("invalid complete MisGAN checkpoint state") from error + # Every owned object is validated before changing live weights or RNGs. + self.policy._phase = "ready" + self.policy.load_state_dict(state["policy"]) + for role, model in owners.items(): + model.load_state_dict(state["models"][role]) + for role, optimizer in self.critic_optimizers.items(): + optimizer.load_state_dict(state["critic_optimizers"][role]) + penalty = self.penalties[role] + penalty.regularizer.cooler.load_state_dict(state["penalties"][role]["cooler"]) + penalty.regularizer.coeff = state["penalties"][role]["coeff"] + penalty.last_stats = deepcopy(state["penalties"][role]["last_stats"]) + for name, value in state["streams"].items(): + getattr(self, name).set_state(value.cpu()) + self.constructor_rng = state["constructor_rng"].clone() + self.constructor_cuda_rng = state["constructor_cuda_rng"] + self.problem.data_law_rng = state["data_law_rng"].clone() + self.batch_sequence_sha256 = state["batch_sequence_sha256"] + for role, model in owners.items(): + for path, module in model.named_modules(): + module.training = state["modes"][role][path] + for name, parameter in model.named_parameters(): + value = state["gradients"][role][name] + parameter.grad = None if value is None else value.to(parameter).clone() + self._checkpoint_ready = True + + +def build_case(case_id, **kwargs): + if case_id != CASE_ID: + raise ValueError("unknown MisGAN case") + return MisGANFixture(list_cases()[0],**kwargs) diff --git a/benchmarks/toy_audit/api_model_vae.py b/benchmarks/toy_audit/api_model_vae.py index 691a0be70..1dbefdf07 100644 --- a/benchmarks/toy_audit/api_model_vae.py +++ b/benchmarks/toy_audit/api_model_vae.py @@ -167,6 +167,8 @@ def task_recipe(case, recipe_name=None, recipe=None): else: base = get_recipe(recipe_name) result = base.replace(**fields, total_steps=None if base.total_steps is None else case["default_steps"]) + from .api_contract import validate_caller_objectives + validate_caller_objectives(result, provider="api_model_vae") if result.constraint_geometry_mode == "strict_progress": raise ValueError("VAE stochastic posterior has no strict_progress finite-replay contract") return result @@ -200,7 +202,8 @@ def mlp(out): init.deterministic_orthogonal_(module, seed=seed + offset) self.initial_model_hashes = {name: _hash_model(getattr(self, name)) for name in ("E", "G", "D", "prior")} self.opt_g, self.opt_d = self.recipe.make_optimizers(self.G, self.D, self.prior, encoder=self.E, - ema_critic=deepcopy(self.D), foreach=False) + ema_critic=deepcopy(self.D), + separate_encoder_groups=True, foreach=False) self.penalty = self.recipe.make_critic_penalty(self.opt_d, collect_stats=True) self.loss = self.recipe.make_loss() self.prior_regularizer = self.recipe.make_prior_regularizer(prior=self.prior) diff --git a/benchmarks/toy_audit/api_ring16.py b/benchmarks/toy_audit/api_ring16.py index 602ddea4e..93f061338 100644 --- a/benchmarks/toy_audit/api_ring16.py +++ b/benchmarks/toy_audit/api_ring16.py @@ -5,6 +5,8 @@ automatic Forge qualification or scientific tier calibration. """ from copy import deepcopy +from contextlib import contextmanager +from functools import wraps import json import hashlib import math @@ -56,8 +58,9 @@ def _legacy_cases(): task_sha256=hashlib.sha256(LEGACY_TASK_PATH.read_bytes()).hexdigest(), spec=spec, thresholds=spec["thresholds"], law=law, law_sha256=_digest(law), protocol_seed=0, evaluation_observations=24, terminal_observations=5, - recipe_overrides=dict(prior_kind="mog", sigma_rel=0., standardize=prior["standardize"]), - prior_options=dict(sigma=prior["sigma"]), profile=dict(init_std=.5), + recipe_overrides={}, + prior_options=dict(prior_kind="mog", sigma_rel=0., standardize=prior["standardize"], + sigma=prior["sigma"]), profile=dict(init_std=.5), sampling="Live generator; uniform row draws from the learned MoG plus fixed sigma=.025 Gaussian latent noise; standardize=False; output_noise=False; no EMA or policy serving.", scope="From deterministic initialization, acquire sixteen equal radius-three sigma-.1 Gaussian clusters within 400 updates. Five terminal acquisition checks add no hold phase. Tier 1 is provisional; this standalone K3P/API initializer and RNG cohort supplies no Forge promotion credit.", adaptation="New retained question develop-ring16_acquisition; shared transfer_vector target/scorer and public GANTrainer, with an explicit nonzero-width MoG. Existing ring8 acquisition/hold evidence is unchanged.", @@ -133,7 +136,9 @@ def list_cases(): task_sha256=hashlib.sha256(TASK_PATH.read_bytes()).hexdigest(), candidate_sha256=hashlib.sha256(CANDIDATE_PATH.read_bytes()).hexdigest(), trainer_configuration=str(CANDIDATE_PATH.relative_to(ROOT)), - prior_options=dict(sigma=task["execution"]["prior"]["sigma"]), + prior_options=dict(prior_kind="mog", sigma_rel=0., + standardize=task["execution"]["prior"]["standardize"], + sigma=task["execution"]["prior"]["sigma"]), profile=dict(init_std=1.), initialization=dict(policy="deterministic_orthogonal", streams="Forge named constructor/init streams", prior="R2Normal init_std=1"), sampling="Clean live public MoG: 256 learned locations, uniform weights, sigma .1, standardize=False; checkpointed evaluation stream; no output noise or EMA.", @@ -392,16 +397,50 @@ def __init__(self, seed: int, device: torch.device): "latent": 102, "eval": 103, "noise": 104, + "model": 105, + "constructor_cpu": 106, } self._streams = {} def fork(self, name: str) -> torch.Generator: + if name not in self._offsets: + raise ValueError(f"undeclared BiGAN RNG stream: {name}") if name not in self._streams: - offset = self._offsets.get(name, abs(hash(name)) % 1000 + 200) - self._streams[name] = torch.Generator(device=self.device).manual_seed(self.seed + offset) + offset = self._offsets[name] + device = "cpu" if name == "constructor_cpu" else self.device + self._streams[name] = torch.Generator(device=device).manual_seed(self.seed + offset) return self._streams[name] +@contextmanager +def _owned_torch_rng(stream, device): + devices = [device.index] if device.type == "cuda" else [] + with torch.random.fork_rng(devices=devices): + if device.type == "cuda": + torch.cuda.set_rng_state(stream.get_state(), device) + else: + torch.set_rng_state(stream.get_state()) + try: + yield + finally: + stream.set_state(torch.cuda.get_rng_state(device) if device.type == "cuda" else torch.get_rng_state()) + + +def _bigan_update(method): + @wraps(method) + def update(self): + if not self._checkpoint_ready: + raise RuntimeError("interrupted BiGAN update requires a complete checkpoint restore") + if self.completed_steps >= self.limit: + raise RuntimeError("declared execution cap reached") + self._checkpoint_ready = False + with _owned_torch_rng(self.model_rng, self.device), torch.autograd.set_multithreading_enabled(False): + result = method(self) + self._checkpoint_ready = True + return result + return update + + class BiGANGenerator(nn.Module): def __init__(self, z_dim=2, out_dim=2, hidden=128, layers=3): super().__init__() @@ -481,7 +520,8 @@ def forward(self, x_or_pair, z=None): class Ring16BiGANFixture: api_components = ( "particlegan.Recipe", - "particlegan.GANTrainer", + "particlegan.Recipe.make_optimizers", + "particlegan.Recipe.make_critic_penalty", "particlegan.MoGParticlePrior", "particlegan.GANLoss.joint_g_loss", "particlegan.init", @@ -533,13 +573,13 @@ def __init__( self.latent_rng = self._rng_streams.fork("latent") self.eval_rng = self._rng_streams.fork("eval") self.noise_rng = self._rng_streams.fork("noise") + self.model_rng = self._rng_streams.fork("model") + self._rng_streams.fork("constructor") angles = torch.linspace(0, 2 * math.pi, 17, device=self.device)[:16] self.centers = torch.stack([3.0 * torch.cos(angles), 3.0 * torch.sin(angles)], dim=1).float() - self.G = BiGANGenerator(z_dim=self.z_dim, out_dim=2, hidden=128, layers=3).to(self.device) - self.E = BiGANEncoder(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=3).to(self.device) - self.D = BiGANJointCritic(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=3).to(self.device) + self._build_models(fourier=3) init.deterministic_orthogonal_(self.G, seed=self.seed + 1) init.deterministic_orthogonal_(self.E, seed=self.seed + 2) @@ -548,6 +588,16 @@ def __init__( self.prior = None self.rebind_trainer(recipe if recipe is not None else (recipe_name or "k3p"), prior=prior) self.last_losses = {} + self._checkpoint_ready = True + + def _build_models(self, *, fourier): + # Linear constructors consume CPU randomness even for a CUDA fixture. + # Keep those discarded initial weights off the caller's global stream. + stream = self._rng_streams.fork("constructor_cpu") + with _owned_torch_rng(stream, torch.device("cpu")): + self.G = BiGANGenerator(z_dim=self.z_dim, out_dim=2, hidden=128, layers=3).to(self.device) + self.E = BiGANEncoder(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=fourier).to(self.device) + self.D = BiGANJointCritic(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=fourier).to(self.device) def _resolve_recipe(self, recipe_or_name): if isinstance(recipe_or_name, Recipe): @@ -568,7 +618,11 @@ def _resolve_recipe(self, recipe_or_name): return base.replace(**overrides) def rebind_trainer(self, recipe, prior=None): - self.recipe = self._resolve_recipe(recipe) + if self.completed_steps: + raise ValueError("BiGAN rebinding requires a fresh untrained fixture") + resolved = self._resolve_recipe(recipe) + self._validate_supported_recipe(resolved) + self.recipe = resolved if prior is not None: self.prior = prior.to(self.device) self.recipe.apply_prior_policy(self.prior) @@ -588,6 +642,8 @@ def rebind_trainer(self, recipe, prior=None): else: self.recipe.apply_prior_policy(self.prior) + self._prior_configuration() + self.ema_critic = deepcopy(self.D) if self.recipe.effective_critic_formulation != "bispf" else None self.opt_g, self.opt_d = self.recipe.make_optimizers( self.G, @@ -606,6 +662,41 @@ def rebind_trainer(self, recipe, prior=None): from particlegan.bispf import bind_thermal_source bind_thermal_source(self.opt_d.record, self.loss, self.regularizer) + def _validate_supported_recipe(self, recipe): + unsupported = [name for name in ( + "continuous_policy", "row_evidence_gate", "particle_birth_death", "serve_average", + "input_noise_std", "output_noise_std", "kinetic_transport_weight", "kinetic_transport_local_weight", + "reopen_guard" + ) if getattr(recipe, name)] + if recipe.lr_control == "stationarity": + unsupported.append("lr_control=stationarity") + if recipe.output_noise_mode != "fixed": + unsupported.append("output_noise_mode") + if recipe.generator_gradient_response != "none": + unsupported.append("generator_gradient_response") + if recipe.row_policy != "independent" or recipe.prior_code_law != "table": + unsupported.append("prior sampling policy") + for name, value in (("batch_size", self.batch_size), ("num_particles", self.particles), ("z_dim", self.z_dim)): + if getattr(recipe, name) != value: + unsupported.append(f"{name} differs from task resources") + if recipe.prior_kind != "mog" or recipe.sigma_rel != 0. or recipe.standardize: + unsupported.append("prior law differs from task MoG") + if unsupported: + from .api_contract import UnsupportedRecipeOverrides + raise UnsupportedRecipeOverrides("BiGAN host cannot execute the intact recipe mechanisms: " + + ", ".join(unsupported) + "; declare a separate supported software cohort") + + def _prior_configuration(self): + from .api_contract import UnsupportedRecipeOverrides + prior = self.prior + if (type(prior) is not MoGParticlePrior or prior.z.shape != (self.particles, self.z_dim) + or float(prior.sigma) != float(torch.tensor(self.sigma, dtype=prior.sigma.dtype)) + or prior.sigma_rel != 0. or prior.standardize or prior.code_law != "table"): + raise UnsupportedRecipeOverrides("BiGAN prior must match the declared unwrapped fixed-width MoG task law") + return {"kind": "mog", "sigma": float(prior.sigma), "sigma_rel": prior.sigma_rel, + "standardize": prior.standardize, "code_law": prior.code_law, + "particles": self.particles, "z_dim": self.z_dim} + def _sample_prior(self, n, generator=None): rng = self.latent_rng if generator is None else generator if isinstance(self.prior, (MoGParticlePrior, ManipulatedPrior)): @@ -625,6 +716,7 @@ def sample_target(self, n, generator=None): eps = torch.randn(n, 2, generator=rng, device=self.device) return self.centers[mode_ids] + self.sigma * eps + @_bigan_update def step(self): if self.completed_steps >= self.limit: raise RuntimeError("declared execution cap reached") @@ -699,10 +791,32 @@ def observe(self, n=4096, seed=10000): return score_bigan(samples, target, reconstructed, self.centers, sigma=self.sigma) def state_dict(self): + if not self._checkpoint_ready: + raise RuntimeError("BiGAN checkpoints require a completed update boundary") + return self._checkpoint_state() + + def _checkpoint_modules(self): + modules = {"generator": self.G, "encoder": self.E, "critic": self.D, + "ema_critic": self.ema_critic, "prior": self.prior, "regularizer": self.regularizer} + return {name: module for name, module in modules.items() if module is not None} + + def _checkpoint_state(self): + modules = self._checkpoint_modules() + cooler = getattr(self.penalty.regularizer, "cooler", None) return deepcopy({ + "version": "bigan-complete-v1", "case_id": self.case_id, + "case": self.metadata, "seed": self.seed, "limit": self.limit, + "device": str(self.device), + "host": {"batch_size": self.batch_size, "particles": self.particles, "z_dim": self.z_dim, + "sigma": self.sigma, "cycle_weight": self.cycle_weight, + "target": {key: getattr(self, key) for key in + ("theta_min", "theta_max", "r0", "r_slope") if hasattr(self, key)}}, + "prior_configuration": self._prior_configuration(), + "target_state": {name: getattr(self, name) for name in ("centers", "theta_grid", "curve_grid") + if hasattr(self, name)}, "completed_steps": self.completed_steps, "recipe": self.recipe.to_dict(), "generator": self.G.state_dict(), @@ -710,28 +824,152 @@ def state_dict(self): "critic": self.D.state_dict(), "ema_critic": self.ema_critic.state_dict() if self.ema_critic is not None else None, "prior": self.prior.state_dict(), - **self.recipe.prior_regularizer_checkpoint(self.regularizer), + "regularizer": self.regularizer.state_dict() if self.regularizer is not None else None, + "prior_regularizer": self.recipe.prior_regularizer_checkpoint(self.regularizer).get("prior_regularizer"), "opt_g": self.opt_g.state_dict(), "opt_d": self.opt_d.state_dict(), - "noise_rng": self.noise_rng.get_state(), + "penalty": {"record": self.opt_d.record.state_dict(), + "cooler": None if cooler is None else cooler.state_dict(), + "coeff": self.penalty.regularizer.coeff, "last_stats": self.penalty.last_stats}, + "streams": {name: stream.get_state() for name, stream in self._rng_streams._streams.items()}, + "stream_offsets": self._rng_streams._offsets, + "base_rates": self.base_rates, + "module_modes": {name: {key: sub.training for key, sub in module.named_modules()} + for name, module in modules.items()}, + "requires_grad": {name: {key: p.requires_grad for key, p in module.named_parameters()} + for name, module in modules.items()}, "last_losses": self.last_losses, }) def load_state_dict(self, state): - self.completed_steps = state["completed_steps"] + from experiments.forge.state import state_digest + from particlegan.policy import _validate_optimizer_state + state = deepcopy(state) # Native optimizer loaders can borrow input tensors. + expected = self._checkpoint_state() + if not isinstance(state, dict) or state.get("version") != "bigan-complete-v1": + raise ValueError("incomplete historical BiGAN checkpoint; use its original package source") + if state.keys() != expected.keys(): + raise ValueError("incomplete BiGAN checkpoint fields") + for key in ("case_id", "case", "seed", "limit", "device", "host", "prior_configuration", + "recipe", "requires_grad", "base_rates", "stream_offsets"): + if state[key] != expected[key]: + raise ValueError(f"BiGAN checkpoint {key} differs from this declared host") + if state_digest(state["target_state"]) != state_digest(expected["target_state"]): + raise ValueError("BiGAN checkpoint target law differs from this declared host") + steps = state["completed_steps"] + if type(steps) is not int or not 0 <= steps <= self.limit: + raise ValueError("invalid BiGAN checkpoint update count") + modules = self._checkpoint_modules() + try: + for name, module in modules.items(): + saved, current = state[name], module.state_dict() + if not isinstance(saved, dict) or saved.keys() != current.keys(): + raise ValueError("model fields differ") + for key, value in current.items(): + other = saved[key] + if isinstance(value, torch.Tensor): + if (not isinstance(other, torch.Tensor) or other.shape != value.shape + or other.dtype != value.dtype or not torch.isfinite(other).all()): + raise ValueError("invalid model tensor") + elif other != value: + raise ValueError("model declaration differs") + deepcopy(module).load_state_dict(saved) + if state["ema_critic"] is None and self.ema_critic is not None: + raise ValueError("missing EMA critic history") + if self.ema_critic is None and state["ema_critic"] is not None: + raise ValueError("unexpected EMA critic history") + if self.regularizer is None and state["regularizer"] is not None: + raise ValueError("unexpected regularizer state") + self.recipe.restore_prior_regularizer(self.regularizer, state["prior_regularizer"], validate_only=True) + public_reg = self.recipe.prior_regularizer_checkpoint(self.regularizer) + if public_reg and state_digest(state["prior_regularizer"]) != state_digest(state["regularizer"]): + raise ValueError("conflicting regularizer histories") + for name, optimizer in (("opt_g", self.opt_g), ("opt_d", self.opt_d)): + _validate_optimizer_state(optimizer, state[name]) + pending = [state[name]] + while pending: + value = pending.pop() + if isinstance(value, torch.Tensor) and not torch.isfinite(value).all(): + raise ValueError("nonfinite optimizer-owned history") + if isinstance(value, dict): + pending.extend(value.values()) + elif isinstance(value, (list, tuple)): + pending.extend(value) + parameter_ids = {key for group in state[name]["param_groups"] for key in group["params"]} + if steps and state[name]["state"].keys() != parameter_ids: + raise ValueError("incomplete trained optimizer history") + for values in state[name]["state"].values(): + if steps and float(values["step"]) != steps: + raise ValueError("optimizer clock differs from completed update count") + penalty = state["penalty"] + if not isinstance(penalty, dict) or penalty.keys() != expected["penalty"].keys(): + raise ValueError("incomplete penalty state") + if (penalty["record"] != state["opt_d"].get("regularizer", {}).get("record") + or type(penalty["record"].get("observed_steps")) is not int + or penalty["record"].get("observed_steps") != steps + or type(penalty["record"].get("calls")) is not int or penalty["record"]["calls"] < 0): + raise ValueError("conflicting critic histories") + if (getattr(self.opt_d, "ema_critic", None) is not None + and state_digest(state["ema_critic"]) != state_digest(state["opt_d"]["regularizer"]["ema"])): + raise ValueError("conflicting EMA critic histories") + cooler = getattr(self.penalty.regularizer, "cooler", None) + if cooler is None: + if penalty["cooler"] is not None: + raise ValueError("unexpected cooler history") + else: + saved, current = penalty["cooler"], cooler.state_dict() + if not isinstance(saved, dict) or saved.keys() != current.keys(): + raise ValueError("incomplete cooler history") + for key in current.keys() - {"initialized", "ema_residual"}: + if saved[key] != current[key]: + raise ValueError("cooler declaration differs") + if (type(saved["initialized"]) is not bool or type(saved["ema_residual"]) not in (int, float) + or not math.isfinite(saved["ema_residual"]) or saved["ema_residual"] < 0): + raise ValueError("invalid cooler history") + deepcopy(cooler).load_state_dict(saved) + if type(penalty["coeff"]) not in (int, float) or not math.isfinite(penalty["coeff"]) or penalty["coeff"] < 0: + raise ValueError("invalid penalty coefficient") + if not isinstance(penalty["last_stats"], dict): + raise TypeError("invalid penalty diagnostics") + if not isinstance(state["streams"], dict) or state["streams"].keys() != expected["streams"].keys(): + raise ValueError("incomplete RNG state") + for name, values in state["streams"].items(): + torch.Generator(device=self._rng_streams._streams[name].device).set_state(values.cpu()) + if state["module_modes"].keys() != expected["module_modes"].keys(): + raise ValueError("incomplete module modes") + for name, modes in state["module_modes"].items(): + if modes.keys() != expected["module_modes"][name].keys() or any(type(v) is not bool for v in modes.values()): + raise ValueError("invalid module modes") + if (not isinstance(state["last_losses"], dict) or any(type(v) not in (int, float) or not math.isfinite(v) + for v in state["last_losses"].values())): + raise ValueError("invalid loss diagnostics") + except (KeyError, TypeError, ValueError, RuntimeError, AttributeError) as error: + raise ValueError("invalid complete BiGAN checkpoint state") from error + # All native loaders were preflighted on independent objects. Preserve + # caller-visible model/prior identities while restoring the live graph. self.G.load_state_dict(state["generator"]) self.E.load_state_dict(state["encoder"]) self.D.load_state_dict(state["critic"]) if self.ema_critic is not None and state.get("ema_critic") is not None: self.ema_critic.load_state_dict(state["ema_critic"]) self.prior.load_state_dict(state["prior"]) - if "prior_regularizer" in state: - self.recipe.restore_prior_regularizer(self.regularizer, state.get("prior_regularizer")) + if self.regularizer is not None: + self.regularizer.load_state_dict(state["regularizer"]) + self.recipe.restore_prior_regularizer(self.regularizer, state["prior_regularizer"]) self.opt_g.load_state_dict(state["opt_g"]) self.opt_d.load_state_dict(state["opt_d"]) - if "noise_rng" in state: - self.noise_rng.set_state(state["noise_rng"]) - self.last_losses = state["last_losses"] + if state["penalty"]["cooler"] is not None: + self.penalty.regularizer.cooler.load_state_dict(state["penalty"]["cooler"]) + self.penalty.regularizer.coeff = state["penalty"]["coeff"] + self.penalty.last_stats = deepcopy(state["penalty"]["last_stats"]) + for name, values in state["streams"].items(): + self._rng_streams._streams[name].set_state(values.cpu()) + for name, module in modules.items(): + for key, sub in module.named_modules(): + sub.training = state["module_modes"][name][key] + self.completed_steps = steps + self.last_losses = deepcopy(state["last_losses"]) + self._checkpoint_ready = True class ALICESpiralBiGANFixture(Ring16BiGANFixture): @@ -786,14 +1024,14 @@ def __init__( self.latent_rng = self._rng_streams.fork("latent") self.eval_rng = self._rng_streams.fork("eval") self.noise_rng = self._rng_streams.fork("noise") + self.model_rng = self._rng_streams.fork("model") + self._rng_streams.fork("constructor") self.theta_grid, self.curve_grid = _spiral_reference_grid( self.device, n_grid=1024, theta_min=self.theta_min, theta_max=self.theta_max, r0=self.r0, r_slope=self.r_slope ) - self.G = BiGANGenerator(z_dim=self.z_dim, out_dim=2, hidden=128, layers=3).to(self.device) - self.E = BiGANEncoder(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=0).to(self.device) - self.D = BiGANJointCritic(in_dim=2, z_dim=self.z_dim, hidden=128, layers=3, fourier=0).to(self.device) + self._build_models(fourier=0) init.deterministic_orthogonal_(self.G, seed=self.seed + 1) init.deterministic_orthogonal_(self.E, seed=self.seed + 2) @@ -802,6 +1040,7 @@ def __init__( self.prior = None self.rebind_trainer(recipe if recipe is not None else (recipe_name or "k3p"), prior=prior) self.last_losses = {} + self._checkpoint_ready = True def sample_target(self, n, generator=None): rng = self.data_rng if generator is None else generator diff --git a/benchmarks/toy_audit/api_run.py b/benchmarks/toy_audit/api_run.py index 711efbc19..f8349d762 100644 --- a/benchmarks/toy_audit/api_run.py +++ b/benchmarks/toy_audit/api_run.py @@ -22,7 +22,6 @@ import random import subprocess import sys -import textwrap import time import numpy as np @@ -442,6 +441,7 @@ def run_case(case, output, *, device="cpu", recipe_name=None, steps=None, evaluation_steps = sorted(set(boundaries) | set(metric_steps)) required_terminal = case.get("terminal_observations", 5) receipt = {"schema": "particlegan_api_toy_run_v1", "case": case, + "checkpoint_capabilities": json_value(case.get("checkpoint_capabilities", {})), "recipe": None, "requested_recipe_overrides": json_value(recipe_overrides or {}), "api_components": [], "source": source_identity(), "seed": seed, "runtime": {"python": platform.python_version(), "torch": str(torch.__version__), @@ -512,6 +512,8 @@ def capture(step): if isinstance(module := getattr(owner, name, None), torch.nn.Module)} receipt["recipe"] = json_value(fixture.recipe.to_dict()) receipt["api_components"] = list(fixture.api_components) + receipt["checkpoint_capabilities"] = json_value(getattr(fixture, "metadata", {}).get( + "checkpoint_capabilities", case.get("checkpoint_capabilities", {}))) if torch.device(device).type == "cuda": receipt["runtime"]["cuda_device_model"] = torch.cuda.get_device_name(torch.device(device)) receipt["source"] = source_identity() @@ -565,7 +567,8 @@ def capture(step): torch.save(fixture.state_dict(), output / "final-state.pt") receipt["artifacts"]["final-state.pt"] = { "sha256": file_hash(output / "final-state.pt"), - "bytes": (output / "final-state.pt").stat().st_size} + "bytes": (output / "final-state.pt").stat().st_size, + "checkpoint_capabilities": receipt["checkpoint_capabilities"]} gif = output / "goal.gif" media_records = [record for record in records if record["step"] in boundaries] if receipt["status"] != "COMPLETE" and not any( diff --git a/benchmarks/toy_audit/api_vectors.py b/benchmarks/toy_audit/api_vectors.py index 09d7654fe..dabf07265 100644 --- a/benchmarks/toy_audit/api_vectors.py +++ b/benchmarks/toy_audit/api_vectors.py @@ -18,15 +18,15 @@ import torch from torch import nn -from particlegan import (BatchDistanceDiscriminator, GANTrainer, +from particlegan import (BatchDistanceDiscriminator, GANTrainer, Recipe, get_recipe, init, scale_learning_rates) -from lib.toy_models import SimpleMLPDiscriminator +from lib.toy_models import SimpleMLPDiscriminator, SimpleMLPGenerator from benchmarks.transfer_suite import stress_tasks, vector_tasks from benchmarks.toy100 import accuracy, metrics as native_metrics, problems from .definition_quality import gaussian_metrics, ring_metrics, two_pole_metrics from .vector_quality import projection_ks -VERSION = "toy-public-api-vectors-v2" +VERSION = "toy-public-api-vectors-v4-intact-recipes" DEFAULT_EVAL = 4096 PROJECTION_KS_MAX = .06 @@ -46,47 +46,25 @@ def forward(self, z: torch.Tensor) -> torch.Tensor: return self.net(z) -import lib.toy_models +class TanhRailGuard: + """Soft-bounded tanh head with the exact derivative of its forward map. - -class TanhRailGuard(torch.autograd.Function): - """Autograd function providing smooth saturation bounding, critic gradient clamping, - and restoring penalty gradients to prevent samples from locking at +/- scale tanh rails. + ``apply`` retains the call spelling used by the scaled task. Ordinary Torch + operations supply first and higher derivatives: this head does not clip an + incoming gradient or inject a restoring force. The historical surrogate + backward remains available only from its pinned original source. """ + @staticmethod - def forward(ctx, u, scale=5.25, v_max=1.8, v_margin=0.4, guard_bound=5.0): + def apply(u, scale=5.25, v_max=1.8, v_margin=0.4): + for name, value in (("scale", scale), ("v_max", v_max), ("v_margin", v_margin)): + if isinstance(value, bool) or not isinstance(value, (int, float)) or not math.isfinite(value) or value <= 0: + raise ValueError(f"{name} must be finite and positive") v = u / scale - abs_v = torch.abs(v) - sign_v = torch.sign(v) - excess = torch.relu(abs_v - v_max) + excess = torch.relu(torch.abs(v) - v_max) soft_excess = excess / (1.0 + excess / v_margin) - v_bounded = torch.where(abs_v <= v_max, v, sign_v * (v_max + soft_excess)) - tanh_val = torch.tanh(v_bounded) - out = scale * tanh_val - ctx.save_for_backward(v, tanh_val) - ctx.scale = scale - ctx.v_max = v_max - ctx.v_margin = v_margin - ctx.guard_bound = guard_bound - return out - - @staticmethod - def backward(ctx, grad_output): - v, tanh_val = ctx.saved_tensors - scale = ctx.scale - v_max = ctx.v_max - v_margin = ctx.v_margin - guard_bound = ctx.guard_bound - clipped_grad = torch.clamp(grad_output, -guard_bound, guard_bound) - dtanh = 1.0 - tanh_val ** 2 - abs_v = torch.abs(v) - excess = torch.relu(abs_v - v_max) - df_dv = torch.where(abs_v <= v_max, torch.ones_like(v), 1.0 / ((1.0 + excess / v_margin) ** 2)) - restore_thresh = 1.5 - v_excess = torch.relu(abs_v - restore_thresh) - penalty_grad = 5.0 * torch.sign(v) * v_excess - grad_u = (clipped_grad * dtanh * df_dv) / scale + penalty_grad / scale - return grad_u, None, None, None, None + v_bounded = torch.where(torch.abs(v) <= v_max, v, torch.sign(v) * (v_max + soft_excess)) + return scale * torch.tanh(v_bounded) class ResidualBlock(nn.Module): @@ -104,12 +82,13 @@ def forward(self, x: torch.Tensor) -> torch.Tensor: class ScaledResidualMLPGenerator(nn.Module): """16-layer residual MLP generator with 1/sqrt(2N) branch scaling, pre-head LayerNorm, - and S=5.25 bounded tanh head with rail saturation guard. + and S=5.25 soft-bounded tanh head with exact automatic derivatives. 1 stem linear + 7 residual blocks (14 linear layers) + 1 head linear = 16 linear layers. Branch scaling: h_{l+1} = h_l + (1/sqrt(14)) * block(h_l) Pre-head normalization: nn.LayerNorm(hidden_dim) before final projection. - Output: S * tanh(head(norm(h)) / S) guarded against rail saturation. + The head soft-bounds its preactivation and applies scaled tanh. No + backward-only forces or gradient clipping are part of this architecture. """ def __init__( self, @@ -240,152 +219,48 @@ def _finalize_scaled_res_mlp(module: ScaledResidualMLPGenerator) -> None: init.register(ScaledResidualMLPGenerator, finalize=_finalize_scaled_res_mlp) -# Alias for backward compatibility and formulaic coverage imports -ResidualMLPGenerator = ScaledResidualMLPGenerator - - -@torch.no_grad() -def _apply_scaled_res16_dispersion_step( - trainer, - real: torch.Tensor, - step: int, - total_steps: int, -) -> None: - """Empirical mode-well tracking and local particle dispersion for grid100_res16_scaled_tanh.""" - from particlegan.priors import unwrap_prior - - if total_steps < 50 or step < max(1, int(0.35 * total_steps)): - return - - emp_state = getattr(trainer, "_scaled_res16_emp_state", None) - if emp_state is None: - emp_state = {"buf": [], "centers": None, "sigma": 0.03, "offsets": None} - trainer._scaled_res16_emp_state = emp_state - - real_det = real.detach() - if emp_state["centers"] is None: - emp_state["buf"].append(real_det) - total_pts = sum(x.shape[0] for x in emp_state["buf"]) - if total_pts >= 8192 or step >= max(1, int(0.65 * total_steps)): - pts = torch.cat(emp_state["buf"], dim=0)[:16384] - centers_list = [pts[0]] - for i in range(1, pts.shape[0]): - p = pts[i] - c_stack = torch.stack(centers_list, dim=0) - if torch.cdist(p.unsqueeze(0), c_stack).min().item() > 0.35: - centers_list.append(p) - if len(centers_list) >= 100: - break - centers = torch.stack(centers_list, dim=0) - for _ in range(5): - dists = torch.cdist(pts, centers) - assign = dists.argmin(dim=1) - for k in range(centers.shape[0]): - mask = assign == k - if mask.any(): - centers[k] = pts[mask].mean(dim=0) - order = torch.argsort(torch.round(centers[:, 0] * 2.0) * 100.0 + torch.round(centers[:, 1] * 2.0)) - centers = centers[order] - dists = torch.cdist(pts, centers) - assign = dists.argmin(dim=1) - diffs = pts - centers[assign] - emp_sigma = float(torch.sqrt((diffs ** 2).mean()).clamp(0.005, 0.20).item()) - emp_state["centers"] = centers - emp_state["sigma"] = emp_sigma - emp_state["buf"] = [] - else: - centers = emp_state["centers"] - dists = torch.cdist(real_det, centers) - min_d, assign = dists.min(dim=1) - valid = min_d < 0.35 - if valid.any(): - v_real = real_det[valid] - v_assign = assign[valid] - counts = torch.bincount(v_assign, minlength=centers.shape[0]).float().unsqueeze(1) - sums = torch.zeros_like(centers) - sums.index_add_(0, v_assign, v_real) - has_obs = counts.squeeze(1) > 0 - batch_means = torch.where(has_obs.unsqueeze(1), sums / counts.clamp_min(1.0), centers) - centers.lerp_(batch_means, 0.05) - diffs = v_real - centers[v_assign] - batch_sigma = float(torch.sqrt((diffs ** 2).mean()).clamp(0.005, 0.20).item()) - emp_state["sigma"] = 0.95 * emp_state["sigma"] + 0.05 * batch_sigma - - if emp_state["centers"] is None: - return - if step < max(1, int(0.65 * total_steps)) and step != total_steps: - return - if step != total_steps and step % 25 != 0: - return - - swapped = getattr(trainer, "_fast", None) is not None - if swapped: - trainer._serve_release() - try: - if hasattr(trainer.G, "init_paired_identity"): - trainer.G.init_paired_identity() - if getattr(trainer, "ema_G", None) is not None and hasattr(trainer.ema_G, "init_paired_identity"): - trainer.ema_G.init_paired_identity() - - base_prior = unwrap_prior(trainer.prior) - if not hasattr(base_prior, "z") or not base_prior.z.requires_grad: - return - z = base_prior.z - n_particles, z_dim = z.shape - centers = emp_state["centers"] - n_modes = centers.shape[0] - emp_sigma = float(emp_state["sigma"]) - - sigma_prior = 0.0 - if hasattr(base_prior, "sigma"): - s_val = base_prior.sigma - sigma_prior = float(s_val.item() if torch.is_tensor(s_val) else s_val) - elif getattr(trainer.prior, "manipulators", None): - for manip in trainer.prior.manipulators: - if hasattr(manip, "sigma"): - sigma_prior = max(sigma_prior, float(manip.sigma)) - - sigma_part = math.sqrt(max(emp_sigma ** 2 - sigma_prior ** 2, 1e-6)) - m_per = max(1, n_particles // n_modes) - - if emp_state["offsets"] is None or emp_state["offsets"].shape != (m_per, 2): - n_rings = max(1, min(10, m_per // 4)) - n_angles = max(1, m_per // n_rings) - ring_pts = [] - p_vals = (torch.arange(n_rings, device=z.device, dtype=z.dtype) + 0.5) / float(n_rings) - r_vals = torch.sqrt(-2.0 * torch.log(1.0 - p_vals)) - r_vals = r_vals * math.sqrt(2.0 / float((r_vals ** 2).mean().clamp_min(1e-8).item())) - for j in range(n_rings): - count_j = n_angles if j < n_rings - 1 else (m_per - len(ring_pts)) - if count_j <= 0: - break - angles = (torch.arange(count_j, device=z.device, dtype=z.dtype) + 0.5 * (j % 2)) * ( - 2.0 * math.pi / float(count_j) - ) - pts_j = r_vals[j] * torch.stack([torch.cos(angles), torch.sin(angles)], dim=1) - ring_pts.append(pts_j) - offsets = torch.cat(ring_pts, dim=0)[:m_per] - offsets = offsets - offsets.mean(dim=0, keepdim=True) - emp_state["offsets"] = offsets - - offsets = emp_state["offsets"] * sigma_part - target_z = torch.zeros_like(z) - mode_idx = torch.arange(n_particles, device=z.device) % n_modes - local_idx = (torch.arange(n_particles, device=z.device) // n_modes) % m_per - target_z[:, :2] = centers[mode_idx] + offsets[local_idx] - - rate = 1.0 if step >= max(1, int(0.75 * total_steps)) else 0.5 - z.lerp_(target_z, rate) - if getattr(trainer, "ema_prior", None) is not None: - ema_base = unwrap_prior(trainer.ema_prior) - if hasattr(ema_base, "z"): - ema_base.z.copy_(z) - if getattr(trainer, "policy", None) is not None and getattr(trainer.policy, "averaged_table", None) is not None: - if trainer.policy.averaged_table.shape == z.shape: - trainer.policy.averaged_table.copy_(z) - finally: - if swapped and getattr(trainer, "serve_after_step", False): - trainer._serve_apply() + +class ResidualMLPGenerator(nn.Module): + """Original unnormalized residual backbone with ordinary scaled tanh. + + This is the ``grid100_res16_tanh`` architecture. The separately named + ``ScaledResidualMLPGenerator`` owns branch scaling, pre-head normalization + and the soft-bounded head; importing either class changes no shared factory. + """ + + def __init__(self, z_dim=2, hidden_dim=128, n_blocks=7, out_dim=2, scale=5.25): + super().__init__() + self.scale = scale + self.stem = nn.Sequential(nn.Linear(z_dim, hidden_dim), nn.LeakyReLU(0.2, inplace=False)) + self.blocks = nn.ModuleList([ResidualBlock(hidden_dim) for _ in range(n_blocks)]) + self.head = nn.Linear(hidden_dim, out_dim) + self.init_weights() + + def init_weights(self): + for block in self.blocks: + nn.init.orthogonal_(block.linear1.weight) + nn.init.zeros_(block.linear1.bias) + nn.init.zeros_(block.linear2.weight) + nn.init.zeros_(block.linear2.bias) + nn.init.orthogonal_(self.stem[0].weight) + nn.init.zeros_(self.stem[0].bias) + nn.init.orthogonal_(self.head.weight) + nn.init.zeros_(self.head.bias) + + def forward(self, z): + h = self.stem(z) + for block in self.blocks: + h = block(h) + return self.scale * torch.tanh(self.head(h) / self.scale) + + +def _finalize_res_mlp(module: ResidualMLPGenerator) -> None: + for block in module.blocks: + block.linear2.weight.zero_() + block.linear2.bias.zero_() + + +init.register(ResidualMLPGenerator, finalize=_finalize_res_mlp) class ScaledSimpleMLPGenerator(nn.Module): @@ -422,11 +297,6 @@ def forward(self, z: torch.Tensor) -> torch.Tensor: return self.net(z) -# Patch in lib.toy_models and alias locally -SimpleMLPGenerator = ScaledSimpleMLPGenerator -lib.toy_models.SimpleMLPGenerator = ScaledSimpleMLPGenerator - - # Frozen mathematical proposal definitions and actual arm initializers are # expanded below. These dictionaries contain no executable training code. PROPOSAL_BASE_SPEC = {'kind': 'gaussian_mixture', @@ -681,6 +551,7 @@ def _case(identifier, legacy, title, goal, *, kind="vector", steps=1200, eval_samples=evaluation, default_recipe=default_recipe, sampling="public served latent law; independent evaluation RNG; output_noise=False removes additive output noise only; DV12/feature-cell latent perturbation remains when enabled", initialization="Public deterministic_orthogonal_ for networks and R2 prior locations; native100 retains its identity affine generator, and two-pole retains its identity/zero/stored-weight controls.", + checkpoint_capabilities=dict(state_export="complete", resume=True, exact_continuation=True), scope="A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.") | extra @@ -727,8 +598,11 @@ def _registry(): cadence=dict(d_every=spec.get("d_every", 1), g_every=spec.get("g_every", 1), first_d_outer_step=1), caller_owned=alternating, caller_noise="none, preserving the original alternating-loop input/output sampling law" if alternating else None, - adaptation=("Explicit KA2 public component loop; no Atlas/DV12 policy lifecycle is claimed. Original half-frequency D cadence is preserved." - if alternating else "KA2 named preset with explicit public R1+R2/K3P penalty; DV12 game-record support is unavailable for this fixed penalty." + checkpoint_scope="export_only_no_resume" if alternating else "complete_public_trainer", + checkpoint_capabilities=dict(state_export="diagnostic_only", resume=False, exact_continuation=False) + if alternating else dict(state_export="complete", resume=True, exact_continuation=True), + adaptation=("Half-frequency D component loop. The unchanged requested recipe must be supported; the original KA2 default is blocked while noise/A2 owners are unavailable. State export is diagnostic only; restore is unsupported." + if alternating else "Fixed R1+R2 question requires an explicitly supplied matching recipe; the unchanged KA2 default is blocked." if fixed_penalty else "Current selected public policy replaces the historical manual Adam/controller loop; target law and named stress remain fixed."), penalty_arm=spec["reg_arm"] if fixed_penalty else None, limitations=spec["limitations"]) @@ -817,6 +691,7 @@ def _registry(): "api-grid100-mlp16", ["deep100g-mlp16"], "100 Gaussians 16-layer MLP stress", "Recover all 100 equal-weight Gaussian modes with a 16-hidden-layer 128-wide LeakyReLU MLP generator.", kind="grid100_mlp16", steps=7000, batch=2048, evaluation=20000, particles=20000, z_dim=2, + architecture=dict(generator="SimpleMLPGenerator", hidden_layers=16, hidden_width=128, normalization="none", output_activation="linear"), default_recipe="k3p", problem="grid100", prior_options=dict(prior_kind="mog", sigma=0.025, standardize=False), @@ -829,6 +704,7 @@ def _registry(): "api-grid100-res16-tanh", ["deep100g-res16-tanh"], "100 Gaussians 16-layer ResMLP + scaled tanh", "Recover all 100 equal-weight Gaussian modes with a 16-layer residual MLP generator and S=5.25 bounded tanh head without rail saturation.", kind="grid100_res16_tanh", steps=7000, batch=2048, evaluation=20000, particles=20000, z_dim=2, + architecture=dict(generator="ResidualMLPGenerator", linear_layers=16, hidden_width=128, residual_scale=1., normalization="none", output_activation="scaled_tanh"), default_recipe="k3p", problem="grid100", scale=5.25, @@ -843,6 +719,7 @@ def _registry(): "api-grid100-res16-scaled-tanh", ["deep100g-res16-scaled-tanh"], "100 Gaussians 16-layer ScaledResMLP + TanhRailGuard", "Recover all 100 equal-weight Gaussian modes with a paired norm-preserving 16-layer ScaledResidualMLPGenerator and S=5.25 TanhRailGuard head.", kind="grid100_res16_scaled_tanh", steps=7000, batch=2048, evaluation=20000, particles=20000, z_dim=2, + architecture=dict(generator="ScaledResidualMLPGenerator", linear_layers=16, hidden_width=128, residual_scale=1/math.sqrt(14), normalization="norm_preserving_paired", output_activation="soft_bounded_tanh_exact_autograd"), default_recipe="k3p", problem="grid100", scale=5.25, @@ -850,7 +727,7 @@ def _registry(): profile=dict(init_std=2.88), prior_options=dict(prior_kind="mog", sigma=0.025, standardize=False), thresholds={"native": deepcopy(native_metrics.REQUIREMENTS), "accuracy": deepcopy(accuracy.LIMITS), "saturated_fraction": 0.001}, - sampling="public served latent law, including enabled DV12/feature-cell perturbation, plus output noise; diagnostics remove additive output noise only", + sampling="clean live public prior law without additive output noise; enabled public prior perturbations retain their declared law", law=dict(kind="equal100_gaussian", problem="grid100", sigma=0.03), adaptation="Public GANTrainer host with 16-layer ScaledResidualMLPGenerator (paired norm-preserving residual transport) and S=5.25 TanhRailGuard head." ) @@ -1050,7 +927,7 @@ class VectorFixture: """Caller-owned data/phase state around one current public trainer.""" api_components = ("particlegan.Recipe", "particlegan.GANTrainer", "particlegan.ParticlePrior") - def __init__(self, case, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas", max_steps=None, recipe_overrides=None): + def __init__(self, case, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas", max_steps=None, recipe_overrides=None, recipe=None): self.metadata = deepcopy(case) self.case_id = case["id"] self.device = torch.device(device) @@ -1063,32 +940,51 @@ def __init__(self, case, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas" raise ValueError("seed must be a nonnegative integer") if recipe_name == "auto": recipe_name = case["default_recipe"] - if case.get("caller_owned") and recipe_name != "ka2": - raise ValueError("the half-frequency D caller is explicitly KA2; use recipe_name='ka2' or 'auto'") - if case.get("penalty_arm") and recipe_name not in ("ka2", "gan", "k3p"): - raise ValueError("the R1+R2 stress requires a fixed public preset: its critic record lacks the Atlas/DV12 game-surprise fields") spec = case.get("spec", {}) + # The task binds only resources and the initial prior/data law. Rates, + # losses, penalties, optimizers, regularization and noise stay owned by + # the requested recipe or an explicitly supplied complete Recipe. options = dict(num_particles=case["particles"], z_dim=case["z_dim"], batch_size=case["batch_size"]) - for source, destination in (("lr", "lr"), ("d_lr_mult", "d_lr_mult"), ("prior_lr_mult", "prior_lr_mult"), - ("prior_reg", "prior_reg"), ("betas", "betas"), ("ema_decay", "ema_decay")): - if source in spec: - options[destination] = tuple(spec[source]) if source == "betas" else spec[source] - # Explicit named penalty stress stays its actual R1+R2 law. Other - # fixtures adopt the requested public formulation, not a hidden b_cap. - if case.get("penalty_arm"): - options.update(reg_arm=case["penalty_arm"], reg_coeff=spec["reg_coeff"]) - if recipe_name in ("ka2", "k3p", "gan"): - options["total_steps"] = case["default_steps"] + from .api_contract import UnsupportedRecipeOverrides, validate_recipe_overrides + if case.get("checkpoint_required") and not case["checkpoint_capabilities"]["exact_continuation"]: + raise UnsupportedRecipeOverrides("this task requires exact checkpoint continuation; the half-frequency caller supports diagnostic state export only") + if recipe is not None: + if not isinstance(recipe, Recipe) or recipe_overrides: + raise ValueError("a supplied complete Recipe cannot be mixed with tuning overrides") + if any(getattr(recipe, field) != value for field, value in options.items()): + raise ValueError("supplied Recipe resources differ from the declared task") + prior_options = case.get("prior_options", {}) + if (recipe.prior_kind != prior_options.get("prior_kind", "particles") + or ("standardize" in prior_options and recipe.standardize != prior_options["standardize"])): + raise ValueError("supplied Recipe initial prior law differs from the declared task") + self.recipe_overrides = {} + self.recipe = recipe + else: + self.recipe_overrides = validate_recipe_overrides({**case, "provider": "api_vectors"}, recipe_name, recipe_overrides) + if get_recipe(recipe_name).continuous_policy is None: + options["total_steps"] = case["default_steps"] + if case.get("prior_options", {}).get("prior_kind") == "mog": + options.update(prior_kind="mog", standardize=case["prior_options"].get("standardize", False), + sigma_rel=case["prior_options"].get("sigma_rel", 0.025)) + options.update(self.recipe_overrides) + self.recipe = get_recipe(recipe_name, **options) + if case.get("penalty_arm") and (self.recipe.reg_arm != case["penalty_arm"] + or self.recipe.reg_coeff != spec["reg_coeff"]): + raise UnsupportedRecipeOverrides("The fixed R1+R2 question requires an explicitly declared matching recipe; the host cannot replace its penalty") if case.get("caller_owned"): - options.update(input_noise_std=0., output_noise_std=0., output_noise_mode="fixed") - options.update(case.get("recipe_overrides", {})) - from .api_contract import validate_recipe_overrides - self.recipe_overrides = validate_recipe_overrides({**case, "provider": "api_vectors"}, recipe_name, recipe_overrides) - if case.get("prior_options", {}).get("prior_kind") == "mog": - options.update(prior_kind="mog", standardize=case["prior_options"].get("standardize", False), - sigma_rel=case["prior_options"].get("sigma_rel", 0.025)) - options.update(self.recipe_overrides) - self.recipe = get_recipe(recipe_name, **options) + unsupported = [name for name in ( + "continuous_policy", "row_evidence_gate", "particle_birth_death", "serve_average", + "input_noise_std", "output_noise_std", "latent_damping_max_rate", + "kinetic_transport_weight", "kinetic_transport_local_weight") if getattr(self.recipe, name)] + if self.recipe.lr_control == "stationarity": + unsupported.append("lr_control=stationarity") + for name, inactive in (("output_noise_mode", "fixed"), ("generator_gradient_response", "none"), + ("constraint_geometry_mode", "none"), ("prior_code_law", "table"), + ("model", "gan"), ("training_precision", "float32"), ("encoder_mode", "none")): + if getattr(self.recipe, name) != inactive: + unsupported.append(name) + if unsupported: + raise UnsupportedRecipeOverrides("half-frequency caller cannot execute the intact recipe mechanisms: " + ", ".join(unsupported)) data_device = "cpu" if case["kind"] in ("vector", "two_pole", "zero_tanh", "zero_tanh_rail_escape") else self.device self.data_rng = torch.Generator(device=data_device).manual_seed(seed) self.generator_data_rng = torch.Generator(device=data_device).manual_seed(seed + 101) @@ -1118,6 +1014,7 @@ def __init__(self, case, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas" elif case["kind"] == "grid100_res16_tanh": init.deterministic_orthogonal_(prior, seed=seed + 2) generator = ResidualMLPGenerator(self.recipe.z_dim, 128, 7, 2, scale=case.get("scale", 5.25)) + init.deterministic_orthogonal_(generator, seed=seed) critic = SimpleMLPDiscriminator(2, 128, 3, 2) elif case["kind"] == "grid100_res16_scaled_tanh": init.deterministic_orthogonal_(prior, seed=seed + 2) @@ -1178,6 +1075,9 @@ def _make_caller_loop(self, generator, critic, prior): self.penalty = self.recipe.make_critic_penalty(self.opt_d) self.regularizer = self.recipe.make_prior_regularizer(prior=self.prior) self.latent_rng = torch.Generator(device=self.device).manual_seed(self.seed + 1) + if self.recipe.effective_critic_formulation == "bispf": + from particlegan.bispf import bind_thermal_source + bind_thermal_source(self.opt_d.record, self.loss, self.regularizer) self.base_rates = [[group["lr"] for group in optimizer.param_groups] for optimizer in (self.opt_g, self.opt_d)] self.update_counts = dict(g=0, d=0) @@ -1210,9 +1110,12 @@ def step(self): self.critic.requires_grad_(False) try: self.opt_g.zero_grad(set_to_none=True) - fake = self.generator(self.prior.sample(self.recipe.batch_size, generator=self.latent_rng)[0]) + latent, indices = self.prior.sample(self.recipe.batch_size, generator=self.latent_rng) + fake = self.generator(latent) + if hasattr(self.opt_g, "set_sampled_rows") and self.prior.z.requires_grad: + self.opt_g.set_sampled_rows(self.prior.z, indices) value = self.loss.g_loss(self.critic(fake), self.critic(real_g)) + self.recipe.prior_regularization( - self.prior.z, regularizer=self.regularizer) + self.prior.z, regularizer=self.regularizer, prior=self.prior) value.backward(); self.opt_g.step(); self.update_counts["g"] += 1 finally: self.critic.requires_grad_(True) @@ -1220,8 +1123,6 @@ def step(self): else: with torch.autograd.set_multithreading_enabled(False): statistics = self.trainer.step(real, generator_real=real_g) - if self.metadata["kind"] == "grid100_res16_scaled_tanh": - _apply_scaled_res16_dispersion_step(self.trainer, real, next_step, self.execution_steps) self.completed_steps = next_step return statistics @@ -1302,23 +1203,35 @@ def _zoom_sigma(self): def state_dict(self): state = dict(version=VERSION, case_id=self.case_id, recipe=self.recipe.to_dict(), seed=self.seed, case_sha256=_digest(self.metadata), + checkpoint_scope=self.metadata.get("checkpoint_scope", "complete_public_trainer"), completed_steps=self.completed_steps, data_rng=self.data_rng.get_state().clone(), generator_data_rng=self.generator_data_rng.get_state().clone(), batch_sequence_sha256=self.batch_sequence_sha256, phase_receipts=deepcopy(self.phase_receipts)) if self.metadata.get("caller_owned"): + penalty = self.penalty.regularizer + penalty_state = {"coeff": penalty.coeff, "last_stats": deepcopy(self.penalty.last_stats)} + if hasattr(penalty, "state_dict"): + penalty_state["record"] = penalty.state_dict() + if hasattr(penalty, "cooler"): + penalty_state["cooler"] = penalty.cooler.state_dict() state["caller"] = deepcopy(dict(generator=self.generator.state_dict(), critic=self.critic.state_dict(), prior=self.prior.state_dict(), **self.recipe.prior_regularizer_checkpoint(self.regularizer), ema_critic=self.ema_critic.state_dict(), opt_g=self.opt_g.state_dict(), opt_d=self.opt_d.state_dict(), + penalty=penalty_state, base_rates=self.base_rates, latent_rng=self.latent_rng.get_state(), update_counts=self.update_counts)) else: state["trainer"] = self.trainer.state_dict() return state def load_state_dict(self, state): + if self.metadata.get("caller_owned"): + from .api_contract import UnsupportedRecipeOverrides + raise UnsupportedRecipeOverrides("half-frequency caller state export is diagnostic only; complete checkpoint restore is unsupported") if (state["version"] != VERSION or state["case_id"] != self.case_id or state["recipe"] != self.recipe.to_dict() or state.get("seed") != self.seed - or state.get("case_sha256") != _digest(self.metadata)): + or state.get("case_sha256") != _digest(self.metadata) + or state.get("checkpoint_scope") != self.metadata.get("checkpoint_scope", "complete_public_trainer")): raise ValueError("checkpoint identity/recipe differs") for name in ("data_rng", "generator_data_rng"): torch.Generator(device=self.data_rng.device).set_state(state[name]) @@ -1329,20 +1242,9 @@ def load_state_dict(self, state): steps = state["completed_steps"] if type(steps) is not int or steps < 0 or steps > self.execution_steps: raise ValueError("checkpoint exceeds this execution prefix") - if self.metadata.get("caller_owned"): - if state["caller"]["update_counts"] != dict(g=steps, d=(steps + 1) // 2): - raise ValueError("checkpoint cadence counters differ from its phase clock") - elif state["trainer"]["completed_steps"] != steps: + if state["trainer"]["completed_steps"] != steps: raise ValueError("checkpoint trainer differs from its phase clock") - if self.metadata.get("caller_owned"): - self.recipe.restore_prior_regularizer(self.regularizer, state["caller"].get("prior_regularizer"), validate_only=True) - for key in ("generator", "critic", "prior", "ema_critic", "opt_g", "opt_d"): - getattr(self, key).load_state_dict(state["caller"][key]) - self.recipe.restore_prior_regularizer(self.regularizer, state["caller"].get("prior_regularizer")) - self.latent_rng.set_state(state["caller"]["latent_rng"]) - self.update_counts = deepcopy(state["caller"]["update_counts"]) - else: - self.trainer.load_state_dict(state["trainer"]) + self.trainer.load_state_dict(state["trainer"]) self.data_rng.set_state(state["data_rng"]) self.generator_data_rng.set_state(state["generator_data_rng"]) self.batch_sequence_sha256 = state["batch_sequence_sha256"] @@ -1358,9 +1260,9 @@ def _view(title, target, samples, metadata): xlabel="x", ylabel="y", caption=metadata["sampling"]) -def build_case(id, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas", max_steps=None, recipe_overrides=None): +def build_case(id, *, device="cpu", seed=DEFAULT_SEED, recipe_name="atlas", max_steps=None, recipe_overrides=None, recipe=None): cases = _registry() if id not in cases: raise ValueError(f"unknown vector case {id!r}") return VectorFixture(cases[id], device=device, seed=seed, recipe_name=recipe_name, - max_steps=max_steps, recipe_overrides=recipe_overrides) + max_steps=max_steps, recipe_overrides=recipe_overrides, recipe=recipe) diff --git a/configs/forge/catalog.json b/configs/forge/catalog.json index cf83e4ec6..9762f402c 100644 --- a/configs/forge/catalog.json +++ b/configs/forge/catalog.json @@ -10,7 +10,7 @@ "benchmark/shared": 6, "benchmark/smart_descent": 9, "benchmark/toy100": 21, - "benchmark/toy_audit": 93, + "benchmark/toy_audit": 94, "benchmark/transfer_suite": 88, "config/100gaussians": 4, "config/cifar_ddgan": 77, @@ -40,7 +40,7 @@ "experiment/toy": 3, "experiment/trajectory": 2, "experiment/transition": 7, - "forge_engine": 121, + "forge_engine": 125, "lrfree/feature-cells-cb64-ra": 4058, "report/atlas-explanation": 7, "report/behavioral_baseline": 32, @@ -61,7 +61,7 @@ "report/paired_error_2d": 1, "report/prior-ablation-2026-10-25": 3, "report/prior-comparison": 4, - "report/project": 13, + "report/project": 15, "report/r1-integrations": 2, "report/readme-100gaussians": 9, "report/releases": 1, @@ -92,7 +92,7 @@ "report/toy100/shared22": 201, "report/toy100/simpler22": 180, "report/toy100/torch214-gpu-check": 10, - "report/toy_audit": 592, + "report/toy_audit": 597, "report/trajectory": 167, "report/transfer_suite": 341, "report/transfer_suite/anisotropic_core_metric": 2, @@ -105,27 +105,27 @@ "candidate_patch": 26, "configuration": 810, "driver": 405, - "engine_support": 121, + "engine_support": 125, "evaluator_or_audit": 324, "evidence_artifact": 1551, "frozen_candidate_implementation": 15, "frozen_driver": 28, "frozen_evaluator_or_audit": 2, "frozen_support": 28, - "narrative": 973, - "structured_evidence": 5066, - "support": 1557, + "narrative": 975, + "structured_evidence": 5067, + "support": 1558, "support_artifact": 52, "visualization": 23, - "visualization_artifact": 750 + "visualization_artifact": 754 }, - "files": 11823 + "files": 11835 }, "coverage": { - "declared_count": 11823, + "declared_count": 11835, "missing": [], "stale": [], - "tracked_count": 11823, + "tracked_count": 11835, "unclassified": [], "valid": true }, @@ -901,14 +901,14 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "000673c4a41b1768e38a21f6b6ff89b03426d993", + "git_blob": "c20fca9058d45a9393b6b3a71d38e0cfc5f86f2f", "path": "benchmarks/toy_audit/api_conditionals.py", "role": "support", "suggested_tiers": [] }, { "family": "benchmark/toy_audit", - "git_blob": "a2d5ebe87805c750f03146d9fdac94147e8b9841", + "git_blob": "bc658b839ed06d011135d3c153eb0781415e8ee6", "path": "benchmarks/toy_audit/api_contract.py", "role": "support", "suggested_tiers": [] @@ -936,7 +936,7 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "dc24c71a4ff5af46dd33bcb7616f8a4609bb92cf", + "git_blob": "10bf7547fa3c62d668b56e4876bdd15558ca5b52", "path": "benchmarks/toy_audit/api_family_search.py", "role": "driver", "suggested_tiers": [ @@ -945,14 +945,14 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "68836d0ff4a3db540104ccabe944c602f7b241e6", + "git_blob": "24402e9e8a98b1e0685ca66888c31a021f91597d", "path": "benchmarks/toy_audit/api_gaussian1d.py", "role": "support", "suggested_tiers": [] }, { "family": "benchmark/toy_audit", - "git_blob": "fa34fa4fedbc53b70e885bb3dc4622f748d2975b", + "git_blob": "8371b2dfbfa907bb712ffa0c826e7b55858cb5fd", "path": "benchmarks/toy_audit/api_images.py", "role": "support", "suggested_tiers": [] @@ -966,7 +966,7 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "c2ca644dc04fb091e89b2f5d9b042dfcea5088f1", + "git_blob": "7cb68ed2b02b35798e6ffaeeaadfbf7caec0f12e", "path": "benchmarks/toy_audit/api_model_ae.py", "role": "support", "suggested_tiers": [] @@ -980,14 +980,21 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "b718bfc1f2783cbb0431a5fe7b1bf9a0e5dd3838", + "git_blob": "2fb7702fd6dd2473517d79b8ad4c62b571c1248d", "path": "benchmarks/toy_audit/api_model_ddgan.py", "role": "support", "suggested_tiers": [] }, { "family": "benchmark/toy_audit", - "git_blob": "691a0be70d8327fb14d16fd354ab2cf12b8381b3", + "git_blob": "7259372b9bd68523a2507055389ada544c322081", + "path": "benchmarks/toy_audit/api_model_misgan.py", + "role": "support", + "suggested_tiers": [] + }, + { + "family": "benchmark/toy_audit", + "git_blob": "1dbefdf07a4243537fb017d6d09252348ea6a533", "path": "benchmarks/toy_audit/api_model_vae.py", "role": "support", "suggested_tiers": [] @@ -1022,14 +1029,14 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "602ddea4eaf1110902045ee54733b82b6f7c76c0", + "git_blob": "93f0613387ea50504a7ec99f50b89a777af6ceab", "path": "benchmarks/toy_audit/api_ring16.py", "role": "support", "suggested_tiers": [] }, { "family": "benchmark/toy_audit", - "git_blob": "711efbc1988b0bdfaa8116ec8f2461cf883e9622", + "git_blob": "f8349d762df4754fec59e1c65b5da96f5815ac0e", "path": "benchmarks/toy_audit/api_run.py", "role": "driver", "suggested_tiers": [ @@ -1066,7 +1073,7 @@ }, { "family": "benchmark/toy_audit", - "git_blob": "09d7654fee68850e0b7a9ef69a72420ef2cb8b98", + "git_blob": "dabf07265b03339f6cf2835795e42c20846bbb63", "path": "benchmarks/toy_audit/api_vectors.py", "role": "support", "suggested_tiers": [] @@ -7380,14 +7387,14 @@ }, { "family": "forge_engine", - "git_blob": "34fc9dd30ad00787d5898ef8897ed6b2e1833e12", + "git_blob": "fb3d13b707be4f90c338e5912720d0b72bbc47bf", "path": "experiments/forge/adapters.py", "role": "engine_support", "suggested_tiers": [] }, { "family": "forge_engine", - "git_blob": "379b013d1c9f19e7935861c9f41db5303c7e54e1", + "git_blob": "3253876abb6852f1887bd491d74f5815ffe130cf", "path": "experiments/forge/api.py", "role": "engine_support", "suggested_tiers": [] @@ -7436,7 +7443,7 @@ }, { "family": "forge_engine", - "git_blob": "e171e3e7c84abebb8bcb6c796781e3494467b1ea", + "git_blob": "5f9b3b9eea15e24bd45f34ef0e26f6c09228dc9b", "path": "experiments/forge/behavior_adapters.py", "role": "engine_support", "suggested_tiers": [] @@ -7450,7 +7457,7 @@ }, { "family": "forge_engine", - "git_blob": "019cee81421dd2b733846dd2c22a5971f716e82b", + "git_blob": "41440289b04f8ff9306c331169e8b029618ed714", "path": "experiments/forge/boundaries.py", "role": "engine_support", "suggested_tiers": [] @@ -7660,7 +7667,7 @@ }, { "family": "forge_engine", - "git_blob": "dfca861267feb3fe8720f88772a8c432fecd06d6", + "git_blob": "ab3f0b12ecb57fdd63d54bd4533f037940284fb2", "path": "experiments/forge/family_reports.py", "role": "engine_support", "suggested_tiers": [] @@ -7737,7 +7744,7 @@ }, { "family": "forge_engine", - "git_blob": "87c0961598d21334b7f0a0a23d7276380ab4fabc", + "git_blob": "32da63f36c3430ba58ac893e66864855f1253404", "path": "experiments/forge/model_toy_adapter.py", "role": "engine_support", "suggested_tiers": [] @@ -7749,6 +7756,13 @@ "role": "engine_support", "suggested_tiers": [] }, + { + "family": "forge_engine", + "git_blob": "62754da8f68cb1e9b5290bdb5ee0d4180c684e4b", + "path": "experiments/forge/model_toy_sources.py", + "role": "engine_support", + "suggested_tiers": [] + }, { "family": "forge_engine", "git_blob": "c0e646853a1ff3e64dc18faa58faf4577a367f28", @@ -7770,6 +7784,20 @@ "role": "engine_support", "suggested_tiers": [] }, + { + "family": "forge_engine", + "git_blob": "6c51de3b871ac6e04e01792685de688edcf8f03d", + "path": "experiments/forge/observation_checkpoints.py", + "role": "engine_support", + "suggested_tiers": [] + }, + { + "family": "forge_engine", + "git_blob": "b200f5315d36283008ad841bbe3d1eca604aaaea", + "path": "experiments/forge/observations.py", + "role": "engine_support", + "suggested_tiers": [] + }, { "family": "forge_engine", "git_blob": "c8ce541122c2429c687c0acc5fb9a63423e63dd0", @@ -7786,7 +7814,7 @@ }, { "family": "forge_engine", - "git_blob": "f6b91fa2a031fcd687bb4023bd6a7d242815e97d", + "git_blob": "9e1580c53d57d2aa88ea31f883c86ede9961120f", "path": "experiments/forge/planning.py", "role": "engine_support", "suggested_tiers": [] @@ -7896,6 +7924,13 @@ "role": "engine_support", "suggested_tiers": [] }, + { + "family": "forge_engine", + "git_blob": "0f5a72e90d2fabbca3ed9dde2fb22ba5e06c32ed", + "path": "experiments/forge/publication_integrity.py", + "role": "engine_support", + "suggested_tiers": [] + }, { "family": "forge_engine", "git_blob": "5083572ef939be6f3ae7961f895dd368cd009525", @@ -7912,7 +7947,7 @@ }, { "family": "forge_engine", - "git_blob": "e4b179d95d2157e9914a2532509cdde6062322d2", + "git_blob": "1e57752f44d921ca8c215043c46e6bfcf264a1f2", "path": "experiments/forge/queue.py", "role": "engine_support", "suggested_tiers": [] @@ -7961,7 +7996,7 @@ }, { "family": "forge_engine", - "git_blob": "b67b9d74d227796fea7d4336fbb25e4d2180b54a", + "git_blob": "01a913c527f4a8eebbfada9e2b581392d2ebb156", "path": "experiments/forge/runtime.py", "role": "engine_support", "suggested_tiers": [] @@ -8094,7 +8129,7 @@ }, { "family": "forge_engine", - "git_blob": "70e51f16cfd535e1f4dd8e715e044c1467d2ab58", + "git_blob": "d223fa89631bb6853b0e0bd7b325e75403e26d10", "path": "experiments/forge/techniques.py", "role": "engine_support", "suggested_tiers": [] @@ -8171,14 +8206,14 @@ }, { "family": "forge_engine", - "git_blob": "46c6b94d3a774d9bb40d5ebb8b18accebe0804af", + "git_blob": "87e4c62eda581a8695e223d043c643c6945a5836", "path": "experiments/forge/vectorprofiles.py", "role": "engine_support", "suggested_tiers": [] }, { "family": "forge_engine", - "git_blob": "9f1e4cbe12860ec6df6b9b809adbb5548e3ac958", + "git_blob": "8dc37805d12fd6eae121e13f37fcd5d3d0b1f327", "path": "experiments/forge/views.py", "role": "engine_support", "suggested_tiers": [] @@ -14222,6 +14257,20 @@ "role": "narrative", "suggested_tiers": [] }, + { + "family": "report/project", + "git_blob": "08f9a189ef585061c56a548981bcd9a44326b6dd", + "path": "reports/gpt-audit-2026-11-08.md", + "role": "narrative", + "suggested_tiers": [] + }, + { + "family": "report/project", + "git_blob": "d11b220e04e07e8fa2e2986e02bc6cef73ff72e2", + "path": "reports/gpt-audit-remediation-2026-11-08.md", + "role": "narrative", + "suggested_tiers": [] + }, { "family": "report/gram-profile", "git_blob": "500f7d63b09cbcf7676a6b1adb491bc7c66d0d84", @@ -16646,7 +16695,7 @@ }, { "family": "report/project", - "git_blob": "77cab5aa8672e8fc4bfccabb368120ba1367b16f", + "git_blob": "f0bcd76a71386cb60aa24d8fae59f7bd0c6f4588", "path": "reports/leaderboard-index.json", "role": "structured_evidence", "suggested_tiers": [] @@ -77870,6 +77919,41 @@ "role": "visualization_artifact", "suggested_tiers": [] }, + { + "family": "report/toy_audit", + "git_blob": "54838e129621ccb368bb9e362b34836107dd966d", + "path": "reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-amortized-v1.gif", + "role": "visualization_artifact", + "suggested_tiers": [] + }, + { + "family": "report/toy_audit", + "git_blob": "7b7230db75688c64ef2529ef974a3e385f2b1e15", + "path": "reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-observed-v1.gif", + "role": "visualization_artifact", + "suggested_tiers": [] + }, + { + "family": "report/toy_audit", + "git_blob": "782d6934653659883e8f8333d9f3fd87158ac510", + "path": "reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif", + "role": "visualization_artifact", + "suggested_tiers": [] + }, + { + "family": "report/toy_audit", + "git_blob": "a831a5fc6ed8b7873ff18efd5151fc95a9b69fdc", + "path": "reports/toy_audit/api_contract/misgan_bispf/media/bispf-optimized-quintic-v1.gif", + "role": "visualization_artifact", + "suggested_tiers": [] + }, + { + "family": "report/toy_audit", + "git_blob": "d52d0a320b122ded980e7d9a409cfa417bbbd26a", + "path": "reports/toy_audit/api_contract/misgan_bispf/publication.json", + "role": "structured_evidence", + "suggested_tiers": [] + }, { "family": "report/toy_audit", "git_blob": "527f5735b3f8530f602ce2365b2aaa1715dc3a48", diff --git a/configs/forge/ideas/bispf-ddgan-energy-annealed-v2.json b/configs/forge/ideas/bispf-ddgan-energy-annealed-v2.json new file mode 100644 index 000000000..c45632da1 --- /dev/null +++ b/configs/forge/ideas/bispf-ddgan-energy-annealed-v2.json @@ -0,0 +1,167 @@ +{ + "api_changes": [ + "particlegan/conditional_score.py", + "particlegan/recipes.py", + "benchmarks/toy_audit/api_model_ddgan.py" + ], + "api_version": "forge-api-v1", + "changed_factors": [ + "Retain conditional energy1/K8 and all BISPF core mechanisms; globally reduce lr.012 to.003 and use the existing cosine law from fraction.3 to positive network/prior terminal floors.05. No target, architecture, prior distribution/capacity, sampling, update-count or evaluation changes." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/ddgan-conditional-repair/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-ddgan-energy-annealed-v2", + "mechanism_class": "floor_constant", + "mechanism_rationale": "The completed energy Gaussian endpoint improves conditional/marginal calibration, but zero terminal all-gate passes and CDF swings. Smaller normalized mobility with a fixed positive annealed floor tests finite-step instability without changing the adversarial/energy population objective.", + "parent": "bispf-ddgan-energy-v1", + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.003, + "lr_anneal_start": 0.3, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 0.05, + "lr_schedule": "cosine", + "model": "gan", + "name": "bispf", + "network_lr_floor": 0.05, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.001, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": null, + "reg_coeff": 1.0, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02, + "conditional_energy_weight": 1.0, + "conditional_energy_samples": 8 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "bispf", + "prior_art": [ + "https://doi.org/10.1198/016214506000001437", + "https://arxiv.org/abs/2112.07804" + ] +} diff --git a/configs/forge/ideas/bispf-ddgan-energy-unconstrained-v3.json b/configs/forge/ideas/bispf-ddgan-energy-unconstrained-v3.json new file mode 100644 index 000000000..e9d040ec5 --- /dev/null +++ b/configs/forge/ideas/bispf-ddgan-energy-unconstrained-v3.json @@ -0,0 +1,167 @@ +{ + "api_changes": [ + "particlegan/conditional_score.py", + "particlegan/recipes.py", + "benchmarks/toy_audit/api_model_ddgan.py" + ], + "api_version": "forge-api-v1", + "changed_factors": [ + "Disable only generator/prior direction-blend per-objective protection: constraint_geometry_mode=none. Minimize the same summed coefficient1 adversarial + coefficient1 conditional energy + unchanged SBNP prior objectives through the same DualNorm law. Preserve lr.003, cosine start.3/positive floors.05, critic BISPF penalty and all task/protocol contracts." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/ddgan-conditional-repair/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-ddgan-energy-unconstrained-v3", + "mechanism_class": "structural", + "mechanism_rationale": "Round2 Gaussian passes all five final marginal gates but retains a systematic low-noise conditional mismatch, while1605/2500 generator steps blend conflicting critic/energy gradients. 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No task/initialization/data/chain sampling/budget/gate changes." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/ddgan-conditional-repair/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-ddgan-energy-v1", + "mechanism_class": "structural", + "mechanism_rationale": "A strictly proper conditional distribution objective provides a direct clean-end calibration signal while rewarding independent conditional spread. 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retain observed-mask categorical likelihood weight1 and own-generator component classification weight5. No complete real labels, target centers, new sampled streams, mixture reweighting or serving fallback.", + "Use one global cosine settling schedule from update0 to1200, network/prior floor0.05, retaining initial learning rates, all BISPF losses/optimizer/prior/SBNP and fixed task/initializer/data/sampling/cadence/budget. Composite repair; no isolated causal attribution." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/misgan-bispf/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-misgan-transport-settle-v1", + "mechanism_class": "structural", + "mechanism_rationale": "A narrow mixture likelihood can sharpen components while trapping incorrect counts in each mode. Mask-cohort quantile matching transports equal generated mass to actual observed mass across gaps; a declared cosine schedule tests sustained settling of both three-game learning and neural conditional logits.", + "parent": "bispf-misgan-amortized-v1", + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.012, + "lr_anneal_start": 0.0, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 0.05, + "lr_schedule": "cosine", + "model": "gan", + "name": "bispf", + "network_lr_floor": 0.05, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.001, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": null, + "reg_coeff": 1.0, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02, + "masked_mixture_weight": 0.0, + "imputer_component_weight": 5.0, + "masked_transport_weight": 1.0 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "bispf" +} diff --git a/configs/forge/ideas/bispf-vaegan-settle-v1.json b/configs/forge/ideas/bispf-vaegan-settle-v1.json new file mode 100644 index 000000000..b9ff28bb9 --- /dev/null +++ b/configs/forge/ideas/bispf-vaegan-settle-v1.json @@ -0,0 +1,157 @@ +{ + "api_changes": [], + "api_version": "forge-api-v1", + "changed_factors": [ + "Activate the existing budget-conditioned cosine schedule from update0: lr_anneal_start0, lr_floor.05 and network_lr_floor.05 rather than the incumbent effective constant-rate floors1. Keep transport weight1 and all BISPF/ELBO/prior mechanisms unchanged." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/vaegan-coverage/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-vaegan-settle-v1", + "mechanism_class": "floor_constant", + "mechanism_rationale": "Both matched baselines recover to passing final states but fail earlier terminal checks; transport alone degrades generation and does not settle. This bounded schedule-only repair lowers generator/encoder/critic and prior steps together as the fixed1200-update budget advances. It retains Born-Infeld critic, normalized optimizer, thermal hook, SBNP, learned prior and true ELBO; it relinquishes the constant-rate claim and does not isolate transport necessity.", + "parent": "bispf-vaegan-transport-v1", + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 1.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.012, + "lr_anneal_start": 0.0, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 0.05, + "lr_schedule": "cosine", + "model": "gan", + "name": "bispf", + "network_lr_floor": 0.05, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.001, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": null, + "reg_coeff": 1.0, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "bispf" +} diff --git a/configs/forge/ideas/bispf-vaegan-transport-v1.json b/configs/forge/ideas/bispf-vaegan-transport-v1.json new file mode 100644 index 000000000..ecb3e0056 --- /dev/null +++ b/configs/forge/ideas/bispf-vaegan-transport-v1.json @@ -0,0 +1,157 @@ +{ + "api_changes": [], + "api_version": "forge-api-v1", + "changed_factors": [ + "Enable existing deterministic 32-projection quadratic data-space transport with kinetic_transport_weight=1.0 on independent prior generator batches. Keep adversarial objective, scaled Gaussian negative ELBO, learned prior and SBNP regularizer unchanged." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/vaegan-coverage/README.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "bispf-vaegan-transport-v1", + "mechanism_class": "structural", + "mechanism_rationale": "Posterior reconstruction concentrates on a subset of uniformly sampled prior rows. Projected empirical quantile matching supplies every independently sampled prior row a target-batch coverage gradient, while retaining genuine VAE ELBO and BISPF critic/optimizer/policy mechanisms.", + "parent": "bispf-optimized-quintic-v1", + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 1.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.012, + "lr_anneal_start": 0.6, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 1.0, + "lr_schedule": "cosine", + "model": "gan", + "name": "bispf", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.001, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": null, + "reg_coeff": 1.0, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "bispf" +} diff --git a/configs/forge/ideas/r1r2-repair-control-20261022.json b/configs/forge/ideas/r1r2-repair-control-20261022.json new file mode 100644 index 000000000..8d2a4dfe4 --- /dev/null +++ b/configs/forge/ideas/r1r2-repair-control-20261022.json @@ -0,0 +1,164 @@ +{ + "api_changes": [], + "api_version": "forge-api-v1", + "changed_factors": [ + "Fresh same-source matched reference using the exact archived non-saturating AMSGrad m110 recipe; archived success/failure cells grant no current-source qualification.", + "Relative to the selected scheduled incumbent: native non-saturating joint/scalar loss, constant LR .0085 and gamma .1, constant beta2 .99, D/G+E beta1 .5, sampled-prior beta1 0, AMSGrad globally enabled. Learned prior and zero prior regularization/noise/EMA remain fixed." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/r1r2-repair-20261022/PLAN.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "r1r2-repair-control-20261022", + "mechanism_class": "structural", + "mechanism_rationale": "A complete stronger historical R1/R2 recipe supplies the prospective common control for explicitly declared structural repairs on unchanged task conditions. This does not select or promote the recipe.", + "parent": "recipe-prior-refactor-r1r2-v1", + "prior_art": [ + "reports/forge/r1r2-concluded-archive/README.md", + "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json" + ], + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": true, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.5, + 0.99 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "none", + "continuous_policy": null, + "critic_formulation": "k3p", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.0, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.0085, + "lr_anneal_start": 0.2, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 1.0, + "lr_schedule": "constant", + "model": "gan", + "name": "r3gan-stacked-training-toy-v1", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "none", + "optimizer_family": "adam", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.0, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.2, + "particle_birth_death": false, + "prior_betas": [ + 0.0, + 0.99 + ], + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 1.0, + "prior_reg": 0.0, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "vicreg", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": "a_r1r2", + "reg_coeff": 0.1, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "r1r2" +} diff --git a/configs/forge/ideas/r1r2-repair-r1cycle-20261022.json b/configs/forge/ideas/r1r2-repair-r1cycle-20261022.json new file mode 100644 index 000000000..22add8a9d --- /dev/null +++ b/configs/forge/ideas/r1r2-repair-r1cycle-20261022.json @@ -0,0 +1,169 @@ +{ + "api_changes": [ + "Public Recipe.reg_real_weight and reg_fake_weight independently weight fixed R1/R2 terms. Both default1 and preserve existing calls/checkpoints; a zero fake weight omits that autograd forward.", + "Public Recipe.joint_reconstruction_weight defaults0. The word joint-inverse consumer adds stable raw-logit token CE on its existing encoded G-phase real batch; scalar, image and other model hosts retain their original objectives." + ], + "api_version": "forge-api-v1", + "changed_factors": [ + "Only global Recipe.joint_reconstruction_weight changes0 to1 on R1-only. On the joint inverse word host, add mean token cross-entropy from raw G(E(real_words)) logits using the already-consumed G-phase real batch and same G/E. No extra draws, sampling changes or prior update. The global field is inapplicable on hosts without this joint inverse consumer." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/r1r2-repair-20261022/PLAN.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "r1r2-repair-r1cycle-20261022", + "mechanism_class": "structural", + "mechanism_rationale": "Restore an explicit paired inverse training signal on the existing word G/E path so wrong saturated softmax outputs retain a corrective logit gradient. Combined with the declared R1-only critic correction, this is one global recipe; the existing reconstruction gate and all other task conditions stay fixed.", + "parent": "r1r2-repair-r1only-20261022", + "prior_art": [ + "reports/forge/r1r2-concluded-archive/README.md", + "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json" + ], + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": true, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.5, + 0.99 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "none", + "continuous_policy": null, + "critic_formulation": "k3p", + "critic_payoff_damping": true, + "critic_r1_real": true, + "critic_step_mode": "none", + "d_betas": null, + "d_eps": null, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.0, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "eps": 1e-08, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "kinetic_transport_local_weight": 0.0, + "kinetic_transport_projections": 32, + "kinetic_transport_weight": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "loss_labels": [ + 0.0, + 1.0, + 1.0 + ], + "lr": 0.0085, + "lr_anneal_start": 0.2, + "lr_control": "mobility", + "lr_decay_rate": 0.96, + "lr_decay_staircase": false, + "lr_decay_steps": 50000, + "lr_floor": 1.0, + "lr_schedule": "constant", + "model": "gan", + "name": "r3gan-stacked-training-toy-v1", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "observation_sigma": 0.03, + "optimizer_adam_lr": null, + "optimizer_convolution": "none", + "optimizer_family": "adam", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.0, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.2, + "particle_birth_death": false, + "prior_betas": [ + 0.0, + 0.99 + ], + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 1.0, + "prior_reg": 0.0, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "vicreg", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": "a_r1r2", + "reg_coeff": 0.1, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02, + "reg_real_weight": 1.0, + "reg_fake_weight": 0.0, + "joint_reconstruction_weight": 1.0 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "r1r2" +} diff --git a/configs/forge/ideas/r1r2-repair-r1only-20261022.json b/configs/forge/ideas/r1r2-repair-r1only-20261022.json new file mode 100644 index 000000000..1dbf8538e --- /dev/null +++ b/configs/forge/ideas/r1r2-repair-r1only-20261022.json @@ -0,0 +1,167 @@ +{ + "api_changes": [ + "Public Recipe.reg_real_weight and reg_fake_weight independently weight fixed R1/R2 terms. Both default1 and preserve existing calls/checkpoints; a zero fake weight omits that autograd forward." + ], + "api_version": "forge-api-v1", + "changed_factors": [ + "Only reg_fake_weight changes1 to0 on the new constant non-saturating AMSGrad m110 control. reg_real_weight remains1 and the real R1 half-gamma coefficient stays .1/2. Prior updates, regularizer, rates, optimizer roles, data, initialization, budgets and sampling are unchanged." + ], + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "execution_path": "public_trainer", + "guide": "reports/forge/r1r2-repair-20261022/PLAN.md", + "host_adaptation": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "id": "r1r2-repair-r1only-20261022", + "mechanism_class": "structural", + "mechanism_rationale": "Remove only fake-input zero-gradient pressure to test whether R2 suppresses the critic density-restoring field. Positive real R1 remains; source-bound endpoint evidence motivates a trajectory test without asserting an established density repair.", + "parent": "r1r2-repair-control-20261022", + "prior_art": [ + "reports/forge/r1r2-concluded-archive/README.md", + "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json" + ], + "recipe_overrides": { + "adam_variant": "pytorch", + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": true, + "beta2_anneal_end": 0.2, + "beta2_end": null, + "betas": [ + 0.5, + 0.99 + ], + "birth_death_backend": "knn", + "birth_death_cells": 64, + "birth_death_chunk": 256, + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_metric_rank": 8, + "birth_death_parent_policy": "real_anchor", + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "none", + "continuous_policy": null, + "critic_formulation": "k3p", + "critic_payoff_damping": true, + "critic_r1_real": true, + 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"optimizer_convolution": "none", + "optimizer_family": "adam", + "optimizer_momentum": 0.0, + "optimizer_smoothing": 0.0, + "optimizer_svd_backend": "native", + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.2, + "particle_birth_death": false, + "prior_betas": [ + 0.0, + 0.99 + ], + "prior_eps": null, + "prior_l2": 0.0, + "prior_lr_mult": 1.0, + "prior_reg": 0.0, + "prior_reg_eps": 0.0001, + "prior_reg_target_std": 1.0, + "prior_regularizer": "vicreg", + "prior_update": "learned", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_arm": "a_r1r2", + "reg_coeff": 0.1, + "reg_coeff_anneal_end": 0.2, + "reg_coeff_end": null, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_guard": null, + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "table_release_rule": "any", + "ucd_target": "class", + "ucd_weight": 0.02, + "reg_real_weight": 1.0, + "reg_fake_weight": 0.0 + }, + "recipe_preset": null, + "requires_capabilities": [ + "learned_locations", + "named_rng" + ], + "schema_version": 3, + "trainer_family": "r1r2" +} diff --git a/configs/forge/studies/ddgan-repair-annealed-r2.json b/configs/forge/studies/ddgan-repair-annealed-r2.json new file mode 100644 index 000000000..28369e3af --- /dev/null +++ b/configs/forge/studies/ddgan-repair-annealed-r2.json @@ -0,0 +1,65 @@ +{ + "schema_version": 1, + "id": "ddgan-repair-annealed-r2", + "status": "ready", + "candidate": "bispf-ddgan-energy-annealed-v2", + "control": { + "candidate_id": "bispf-ddgan-energy-v1", + "task_map": {} + }, + "hypothesis": "A globally smaller normalized learning rate with positive cosine terminal floors stabilizes conditional-energy DDGAN calibration while preserving its stochastic distribution objective and genuine adversarial game.", + "scope": { + "view": "ddgan-conditional-repair-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "ddgan-conditional-repair-r2", + "candidate_budget_seconds": 1800, + "budget_seconds": 3600 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/ddgan-failure-investigation/results.json", + "selector": [], + "identity": { + "schema": "ddgan_saved_state_diagnosis_v1", + "qualification_input": false + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/ddgan-conditional-repair/round1-diagnosis.json", + "selector": [], + "identity": { + "schema": "ddgan_round1_endpoint_diagnosis_v1", + "diagnostic_draws": 0, + "training_updates_added": 0 + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": "<=", + "threshold": 0.12, + "phase": "final" + }, + "falsifier": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": ">", + "threshold": 0.12, + "phase": "final" + }, + "competing_explanation": "Finite conditional capacity, adversarial gradient conflict or large normalized steps may prevent calibrated spread even when the proper auxiliary population objective is minimized by the true conditional law.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/ddgan-repair-baseline-r1.json b/configs/forge/studies/ddgan-repair-baseline-r1.json new file mode 100644 index 000000000..edd3db688 --- /dev/null +++ b/configs/forge/studies/ddgan-repair-baseline-r1.json @@ -0,0 +1,55 @@ +{ + "schema_version": 1, + "id": "ddgan-repair-baseline-r1", + "status": "ready", + "candidate": "bispf-optimized-quintic-v1", + "control": { + "candidate_id": "bispf-ddgan-energy-v1", + "task_map": {} + }, + "hypothesis": "A conditional energy score added to BISPF improves low-noise conditional-law calibration; the matched GPU0 selected-recipe control may retain the historical Gaussian failure.", + "scope": { + "view": "ddgan-conditional-repair-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "ddgan-conditional-repair-r1", + "candidate_budget_seconds": 1200, + "budget_seconds": 2400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/ddgan-failure-investigation/results.json", + "selector": [], + "identity": { + "schema": "ddgan_saved_state_diagnosis_v1", + "qualification_input": false + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": ">", + "threshold": 0.12, + "phase": "final" + }, + "falsifier": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": "<=", + "threshold": 0.12, + "phase": "final" + }, + "competing_explanation": "Finite conditional capacity, adversarial gradient conflict or large normalized steps may prevent calibrated spread even when the proper auxiliary population objective is minimized by the true conditional law.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/ddgan-repair-baseline-wall-r2.json b/configs/forge/studies/ddgan-repair-baseline-wall-r2.json new file mode 100644 index 000000000..681e6d9db --- /dev/null +++ b/configs/forge/studies/ddgan-repair-baseline-wall-r2.json @@ -0,0 +1,65 @@ +{ + "schema_version": 1, + "id": "ddgan-repair-baseline-wall-r2", + "status": "ready", + "candidate": "bispf-optimized-quintic-v1", + "control": { + "candidate_id": "bispf-ddgan-energy-annealed-v2", + "task_map": {} + }, + "hypothesis": "A globally smaller normalized learning rate with positive cosine terminal floors stabilizes conditional-energy DDGAN calibration while preserving its stochastic distribution objective and genuine adversarial game.", + "scope": { + "view": "ddgan-conditional-repair-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "ddgan-conditional-repair-r2", + "candidate_budget_seconds": 1800, + "budget_seconds": 3600 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/ddgan-failure-investigation/results.json", + "selector": [], + "identity": { + "schema": "ddgan_saved_state_diagnosis_v1", + "qualification_input": false + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/ddgan-conditional-repair/round1-diagnosis.json", + "selector": [], + "identity": { + "schema": "ddgan_round1_endpoint_diagnosis_v1", + "diagnostic_draws": 0, + "training_updates_added": 0 + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": ">", + "threshold": 0.12, + "phase": "final" + }, + "falsifier": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": "<=", + "threshold": 0.12, + "phase": "final" + }, + "competing_explanation": "Finite conditional capacity, adversarial gradient conflict or large normalized steps may prevent calibrated spread even when the proper auxiliary population objective is minimized by the true conditional law.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/ddgan-repair-energy-r1.json b/configs/forge/studies/ddgan-repair-energy-r1.json new file mode 100644 index 000000000..a8d13e325 --- /dev/null +++ b/configs/forge/studies/ddgan-repair-energy-r1.json @@ -0,0 +1,55 @@ +{ + "schema_version": 1, + "id": "ddgan-repair-energy-r1", + "status": "ready", + "candidate": "bispf-ddgan-energy-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "A conditional energy score added to BISPF improves low-noise conditional-law calibration; the matched GPU0 selected-recipe control may retain the historical Gaussian failure.", + "scope": { + "view": "ddgan-conditional-repair-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "ddgan-conditional-repair-r1", + "candidate_budget_seconds": 1200, + "budget_seconds": 2400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/ddgan-failure-investigation/results.json", + "selector": [], + "identity": { + "schema": "ddgan_saved_state_diagnosis_v1", + "qualification_input": false + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": "<=", + "threshold": 0.12, + "phase": "final" + }, + "falsifier": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": ">", + "threshold": 0.12, + "phase": "final" + }, + "competing_explanation": "Finite conditional capacity, adversarial gradient conflict or large normalized steps may prevent calibrated spread even when the proper auxiliary population objective is minimized by the true conditional law.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/ddgan-repair-unconstrained-r3.json b/configs/forge/studies/ddgan-repair-unconstrained-r3.json new file mode 100644 index 000000000..cebcf0a95 --- /dev/null +++ b/configs/forge/studies/ddgan-repair-unconstrained-r3.json @@ -0,0 +1,75 @@ +{ + "schema_version": 1, + "id": "ddgan-repair-unconstrained-r3", + "status": "ready", + "candidate": "bispf-ddgan-energy-unconstrained-v3", + "control": { + "candidate_id": "bispf-ddgan-energy-annealed-v2", + "task_map": {} + }, + "hypothesis": "Removing per-objective direction blending from the same low-mobility summed GAN/energy objective repairs low-noise conditional calibration while preserving the Gaussian marginal stability and genuine adversarial game.", + "scope": { + "view": "ddgan-conditional-repair-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "ddgan-conditional-repair-r3", + "candidate_budget_seconds": 1800, + "budget_seconds": 1800 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/ddgan-failure-investigation/results.json", + "selector": [], + "identity": { + "schema": "ddgan_saved_state_diagnosis_v1", + "qualification_input": false + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/ddgan-conditional-repair/round1-diagnosis.json", + "selector": [], + "identity": { + "schema": "ddgan_round1_endpoint_diagnosis_v1", + "diagnostic_draws": 0, + "training_updates_added": 0 + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/ddgan-conditional-repair/round2-diagnosis.json", + "selector": [], + "identity": { + "schema": "ddgan_round2_endpoint_diagnosis_v1", + "diagnostic_draws": 0, + "training_updates_added": 0 + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": "<=", + "threshold": 0.12, + "phase": "final" + }, + "falsifier": { + "task_id": "ddgan_repair_gaussian_chain_v1", + "metric": "worst_transition_cdf", + "op": ">", + "threshold": 0.12, + "phase": "final" + }, + "competing_explanation": "The remaining conditional error may reflect finite shared MLP capacity or insufficient conditional coverage rather than the optional per-objective constraint. A failure of this single global revision ends the declared campaign; no automatic extension or seed trial follows.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-amortized-r1-reviewed.json b/configs/forge/studies/misgan-bispf-amortized-r1-reviewed.json new file mode 100644 index 000000000..d0c74e8ea --- /dev/null +++ b/configs/forge/studies/misgan-bispf-amortized-r1-reviewed.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-amortized-r1-reviewed", + "status": "ready", + "candidate": "bispf-misgan-amortized-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-amortized-r1-snapshot.json b/configs/forge/studies/misgan-bispf-amortized-r1-snapshot.json new file mode 100644 index 000000000..30005f672 --- /dev/null +++ b/configs/forge/studies/misgan-bispf-amortized-r1-snapshot.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-amortized-r1-snapshot", + "status": "ready", + "candidate": "bispf-misgan-amortized-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-snapshot-repair-r1", + "candidate_budget_seconds": 1810, + "budget_seconds": 5430 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-amortized-r1.json b/configs/forge/studies/misgan-bispf-amortized-r1.json new file mode 100644 index 000000000..1a3972a13 --- /dev/null +++ b/configs/forge/studies/misgan-bispf-amortized-r1.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-amortized-r1", + "status": "ready", + "candidate": "bispf-misgan-amortized-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-baseline-r1-reviewed.json b/configs/forge/studies/misgan-bispf-baseline-r1-reviewed.json new file mode 100644 index 000000000..461a1557e --- /dev/null +++ b/configs/forge/studies/misgan-bispf-baseline-r1-reviewed.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-baseline-r1-reviewed", + "status": "ready", + "candidate": "bispf-optimized-quintic-v1", + "control": { + "candidate_id": "ka2", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-baseline-r1-snapshot.json b/configs/forge/studies/misgan-bispf-baseline-r1-snapshot.json new file mode 100644 index 000000000..cee67ed2d --- /dev/null +++ b/configs/forge/studies/misgan-bispf-baseline-r1-snapshot.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-baseline-r1-snapshot", + "status": "ready", + "candidate": "bispf-optimized-quintic-v1", + "control": { + "candidate_id": "ka2", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-snapshot-repair-r1", + "candidate_budget_seconds": 1810, + "budget_seconds": 5430 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-baseline-r1.json b/configs/forge/studies/misgan-bispf-baseline-r1.json new file mode 100644 index 000000000..0f1e763af --- /dev/null +++ b/configs/forge/studies/misgan-bispf-baseline-r1.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-baseline-r1", + "status": "ready", + "candidate": "bispf-optimized-quintic-v1", + "control": { + "candidate_id": "ka2", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-observed-r1-reviewed.json b/configs/forge/studies/misgan-bispf-observed-r1-reviewed.json new file mode 100644 index 000000000..bf824030a --- /dev/null +++ b/configs/forge/studies/misgan-bispf-observed-r1-reviewed.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-observed-r1-reviewed", + "status": "ready", + "candidate": "bispf-misgan-observed-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-observed-r1-snapshot.json b/configs/forge/studies/misgan-bispf-observed-r1-snapshot.json new file mode 100644 index 000000000..1f02ab5e8 --- /dev/null +++ b/configs/forge/studies/misgan-bispf-observed-r1-snapshot.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-observed-r1-snapshot", + "status": "ready", + "candidate": "bispf-misgan-observed-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-snapshot-repair-r1", + "candidate_budget_seconds": 1810, + "budget_seconds": 5430 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-observed-r1.json b/configs/forge/studies/misgan-bispf-observed-r1.json new file mode 100644 index 000000000..fb6f02884 --- /dev/null +++ b/configs/forge/studies/misgan-bispf-observed-r1.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-observed-r1", + "status": "ready", + "candidate": "bispf-misgan-observed-v1", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-four-mode-r1", + "candidate_budget_seconds": 1800, + "budget_seconds": 5400 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": ">=", + "threshold": 0.9, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "ambiguous_hq", + "op": "<", + "threshold": 0.9, + "phase": "final" + }, + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/misgan-bispf-transport-settle-r2.json b/configs/forge/studies/misgan-bispf-transport-settle-r2.json new file mode 100644 index 000000000..6014daf8d --- /dev/null +++ b/configs/forge/studies/misgan-bispf-transport-settle-r2.json @@ -0,0 +1,54 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-transport-settle-r2", + "status": "ready", + "candidate": "bispf-misgan-transport-settle-v1", + "control": { + "candidate_id": "bispf-misgan-amortized-v1", + "task_map": {} + }, + "hypothesis": "The declared composite observed-mass transport and cosine-settling repair passes all twelve unchanged MisGAN recovery and neural posterior bounds for all five terminal checks.", + "scope": { + "view": "misgan-bispf-research-v1", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "misgan-bispf-transport-settle-r2", + "candidate_budget_seconds": 1800, + "budget_seconds": 1800 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/misgan-bispf/round1-diagnosis.json", + "selector": [], + "identity": { + "schema": "misgan_round1_diagnosis_v1" + }, + "use": "motivation_only" + } + ], + "prediction": { + "task_id": "model_misgan_four_mode", + "metric": "mass_tv", + "op": "<=", + "threshold": 0.1, + "phase": "final" + }, + "falsifier": { + "task_id": "model_misgan_four_mode", + "metric": "mass_tv", + "op": ">", + "threshold": 0.1, + "phase": "final" + }, + "competing_explanation": "Quantile matching may remain too weak to move uniform component mass across modes, learned geometry may distort masked projections, or the model-trained neural posterior may remain biased. The transport+settling composite cannot isolate individual causal effects.", + "terminal_rules": { + "falsified": "stop_revision", + "prediction_observed": "review_saved_diagnostics", + "inconclusive": "stop_and_readout", + "incomplete": "request_missing_evidence" + } +} diff --git a/configs/forge/studies/r1r2-repair-control-20261022-tier1-infra-v2.json b/configs/forge/studies/r1r2-repair-control-20261022-tier1-infra-v2.json new file mode 100644 index 000000000..1ff485625 --- /dev/null +++ b/configs/forge/studies/r1r2-repair-control-20261022-tier1-infra-v2.json @@ -0,0 +1,84 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-control-20261022", + "competing_explanation": "Source/runtime changes, finite-batch geometry or generator/prior conditioning may dominate the saved critic field. Complete all13 independent runnable Tier1 tasks and clock; compare matched source-bound controls, keep every full gate, blocked cell and failure. A scalar prediction never grants qualification. Original-source successful and failed scientific results remain source-bound; incomplete/BLOCKED infrastructure attempts cannot be interpreted as formulation failures. This version changes execution plumbing only and requires isolated frozen-source integration checks before admission.", + "control": { + "candidate_id": "recipe-prior-refactor-r1r2-v1", + "task_map": {} + }, + "falsifier": { + "metric": "component_covariance_error", + "op": "<=", + "phase": "final", + "task_id": "ring16_acquisition", + "threshold": 0.85 + }, + "hypothesis": "The exact archived stronger global R1/R2 reference retains its prior observed ordinary passes and still exposes the unresolved Ring16 density failure under one fresh matched source/runtime. This new-source operational repair fixes snapshot provider dependencies, preserves original runtime errors and routes the already-declared tanh evaluator; all original scientific gates and recipe values remain unchanged.", + "id": "r1r2-repair-control-20261022-tier1-infra-v2", + "max_rounds": 1, + "prediction": { + "metric": "component_covariance_error", + "op": ">", + "phase": "final", + "task_id": "ring16_acquisition", + "threshold": 0.85 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "discriminator_stability" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-control-20261022-tier1.json b/configs/forge/studies/r1r2-repair-control-20261022-tier1.json new file mode 100644 index 000000000..e54ce9dbb --- /dev/null +++ b/configs/forge/studies/r1r2-repair-control-20261022-tier1.json @@ -0,0 +1,64 @@ +{ + "schema_version": 1, + "id": "r1r2-repair-control-20261022-tier1", + "status": "ready", + "candidate": "r1r2-repair-control-20261022", + "control": { + "candidate_id": "recipe-prior-refactor-r1r2-v1", + "task_map": {} + }, + "scope": { + "view": "discriminator_stability", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "r1r2-repair-20261022", + "candidate_budget_seconds": 5220, + "budget_seconds": 24000 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "identity": { + "scope": "saved_endpoint_force_conditioning_diagnostic", + "qualification_input": false + }, + "use": "motivation_only" + } + ], + "hypothesis": "The exact archived stronger global R1/R2 reference retains its prior observed ordinary passes and still exposes the unresolved Ring16 density failure under one fresh matched source/runtime.", + "prediction": { + "task_id": "ring16_acquisition", + "metric": "component_covariance_error", + "op": ">", + "threshold": 0.85, + "phase": "final" + }, + "falsifier": { + "task_id": "ring16_acquisition", + "metric": "component_covariance_error", + "op": "<=", + "threshold": 0.85, + "phase": "final" + }, + "competing_explanation": "Source/runtime changes, finite-batch geometry or generator/prior conditioning may dominate the saved critic field. Complete all13 independent runnable Tier1 tasks and clock; compare matched source-bound controls, keep every full gate, blocked cell and failure. A scalar prediction never grants qualification.", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-control-20261022-word-retention.json b/configs/forge/studies/r1r2-repair-control-20261022-word-retention.json new file mode 100644 index 000000000..e33441d71 --- /dev/null +++ b/configs/forge/studies/r1r2-repair-control-20261022-word-retention.json @@ -0,0 +1,84 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-control-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. 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Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "recipe-prior-refactor-r1r2-v1", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-control-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-r1cycle-20261022-tier1-infra-v2.json b/configs/forge/studies/r1r2-repair-r1cycle-20261022-tier1-infra-v2.json new file mode 100644 index 000000000..e18cd3334 --- /dev/null +++ b/configs/forge/studies/r1r2-repair-r1cycle-20261022-tier1-infra-v2.json @@ -0,0 +1,93 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1cycle-20261022", + "competing_explanation": "Source/runtime changes, finite-batch geometry or generator/prior conditioning may dominate the saved critic field. 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This version changes execution plumbing only and requires isolated frozen-source integration checks before admission.", + "control": { + "candidate_id": "r1r2-repair-r1only-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_smoke", + "threshold": 0.9 + }, + "hypothesis": "The single global R1-only plus explicit joint inverse reconstruction recipe repairs the unchanged Ring16 gate through its R1 critic change while retaining confident paired word acquisition with a stable raw-logit inverse signal and every other required Tier1 pass. 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Complete all13 independent runnable Tier1 tasks and clock; compare matched source-bound controls, keep every full gate, blocked cell and failure. A scalar prediction never grants qualification.", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-r1cycle-20261022-word-retention.json b/configs/forge/studies/r1r2-repair-r1cycle-20261022-word-retention.json new file mode 100644 index 000000000..0aae3145b --- /dev/null +++ b/configs/forge/studies/r1r2-repair-r1cycle-20261022-word-retention.json @@ -0,0 +1,93 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1cycle-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. Retention is falsified by any original primary or independent confirmation failure among the restored-state+24 scheduled checks, including generation, diversity or inverse bounds; a passing endpoint scalar is insufficient. Use only the earliest confirmed same-candidate/source parent with exact model/optimizer/prior/RNG restoration, or report BLOCKED. No resampling, changed cohort, scientific retry, altered gate or promotion of failed ordinary13-task outcomes. Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "r1r2-repair-r1only-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-r1cycle-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_word_atoms_and_declared_target_enumeration_only" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/word-saturation-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-r1only-20261022-tier1-infra-v2.json b/configs/forge/studies/r1r2-repair-r1only-20261022-tier1-infra-v2.json new file mode 100644 index 000000000..df632322d --- /dev/null +++ b/configs/forge/studies/r1r2-repair-r1only-20261022-tier1-infra-v2.json @@ -0,0 +1,84 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1only-20261022", + "competing_explanation": "Source/runtime changes, finite-batch geometry or generator/prior conditioning may dominate the saved critic field. Complete all13 independent runnable Tier1 tasks and clock; compare matched source-bound controls, keep every full gate, blocked cell and failure. A scalar prediction never grants qualification. Original-source successful and failed scientific results remain source-bound; incomplete/BLOCKED infrastructure attempts cannot be interpreted as formulation failures. This version changes execution plumbing only and requires isolated frozen-source integration checks before admission.", + "control": { + "candidate_id": "r1r2-repair-control-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "component_covariance_error", + "op": ">", + "phase": "final", + "task_id": "ring16_acquisition", + "threshold": 0.85 + }, + "hypothesis": "Removing only R2 fake-input gradient pressure repairs the unchanged Ring16 local-density gate while retaining every other required Tier1 gate with one global native R1 recipe. This new-source operational repair fixes snapshot provider dependencies, preserves original runtime errors and routes the already-declared tanh evaluator; all original scientific gates and recipe values remain unchanged.", + "id": "r1r2-repair-r1only-20261022-tier1-infra-v2", + "max_rounds": 1, + "prediction": { + "metric": "component_covariance_error", + "op": "<=", + "phase": "final", + "task_id": "ring16_acquisition", + "threshold": 0.85 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "discriminator_stability" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-r1only-20261022-tier1.json b/configs/forge/studies/r1r2-repair-r1only-20261022-tier1.json new file mode 100644 index 000000000..e3a1f23fd --- /dev/null +++ b/configs/forge/studies/r1r2-repair-r1only-20261022-tier1.json @@ -0,0 +1,64 @@ +{ + "schema_version": 1, + "id": "r1r2-repair-r1only-20261022-tier1", + "status": "ready", + "candidate": "r1r2-repair-r1only-20261022", + "control": { + "candidate_id": "r1r2-repair-control-20261022", + "task_map": {} + }, + "scope": { + "view": "discriminator_stability", + "through_tier": 1, + "execution_backend": "cuda", + "cuda_model": "NVIDIA RTX A6000" + }, + "campaign": { + "id": "r1r2-repair-20261022", + "candidate_budget_seconds": 5220, + "budget_seconds": 24000 + }, + "max_rounds": 1, + "prior_evidence": [ + { + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "use": "motivation_only" + }, + { + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "identity": { + "scope": "saved_endpoint_force_conditioning_diagnostic", + "qualification_input": false + }, + "use": "motivation_only" + } + ], + "hypothesis": "Removing only R2 fake-input gradient pressure repairs the unchanged Ring16 local-density gate while retaining every other required Tier1 gate with one global native R1 recipe.", + "prediction": { + "task_id": "ring16_acquisition", + "metric": "component_covariance_error", + "op": "<=", + "threshold": 0.85, + "phase": "final" + }, + "falsifier": { + "task_id": "ring16_acquisition", + "metric": "component_covariance_error", + "op": ">", + "threshold": 0.85, + "phase": "final" + }, + "competing_explanation": "Source/runtime changes, finite-batch geometry or generator/prior conditioning may dominate the saved critic field. Complete all13 independent runnable Tier1 tasks and clock; compare matched source-bound controls, keep every full gate, blocked cell and failure. A scalar prediction never grants qualification.", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/r1r2-repair-r1only-20261022-word-retention.json b/configs/forge/studies/r1r2-repair-r1only-20261022-word-retention.json new file mode 100644 index 000000000..db3f11922 --- /dev/null +++ b/configs/forge/studies/r1r2-repair-r1only-20261022-word-retention.json @@ -0,0 +1,84 @@ +{ + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1only-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. Retention is falsified by any original primary or independent confirmation failure among the restored-state+24 scheduled checks, including generation, diversity or inverse bounds; a passing endpoint scalar is insufficient. Use only the earliest confirmed same-candidate/source parent with exact model/optimizer/prior/RNG restoration, or report BLOCKED. No resampling, changed cohort, scientific retry, altered gate or promotion of failed ordinary13-task outcomes. Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "r1r2-repair-control-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-r1only-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/vaegan-coverage-baseline-v1.json b/configs/forge/studies/vaegan-coverage-baseline-v1.json new file mode 100644 index 000000000..96ef468e0 --- /dev/null +++ b/configs/forge/studies/vaegan-coverage-baseline-v1.json @@ -0,0 +1,54 @@ +{ + "campaign": { + "budget_seconds": 1200, + "candidate_budget_seconds": 600, + "id": "vaegan-coverage-round1-v1" + }, + "candidate": "bispf-optimized-quintic-v1", + "competing_explanation": "Final-state low usage is associative and also occurs in the passing categorical control. Added transport could conflict with reconstruction, underfill narrow modes, or leave transient instability unchanged. Full original sustained gates decide outcomes; endpoint predictions do not replace them. No seed repeats, gate changes, task pruning or unchanged paid retries. On failure inspect saved scheduled states before at most two separately frozen substantive repairs, each at most600 seconds and two1200-update runs; whole campaign maximum2400 seconds.", + "control": { + "candidate_id": "bispf-vaegan-transport-v1", + "task_map": {} + }, + "falsifier": { + "metric": "likelihood_hq", + "op": "<", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "hypothesis": "One global projected transport auxiliary repairs sustained independent-prior generation in hard VAEGAN while retaining the categorical positive reference; measure an exact matched CUDA baseline before causal comparison.", + "id": "vaegan-coverage-baseline-v1", + "max_rounds": 1, + "prediction": { + "metric": "likelihood_hq", + "op": ">=", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "prior_evidence": [ + { + "identity": { + "record_id": "api-model-vae-failure-investigation-v1" + }, + "path": "reports/forge/records/api-model-vae-failure-investigation-v1.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "vaegan_coverage" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/vaegan-coverage-settle-v1.json b/configs/forge/studies/vaegan-coverage-settle-v1.json new file mode 100644 index 000000000..817fbd9c9 --- /dev/null +++ b/configs/forge/studies/vaegan-coverage-settle-v1.json @@ -0,0 +1,54 @@ +{ + "campaign": { + "budget_seconds": 600, + "candidate_budget_seconds": 600, + "id": "vaegan-coverage-round2-v1" + }, + "candidate": "bispf-vaegan-settle-v1", + "competing_explanation": "Constant normalized update scales may sustain jitter, but poor coverage gradients or reconstruction conflict could persist even with smaller steps. Keep complete budget and all5 terminal checks; no candidate-specific gates, serving selection or per-mode recipes. Stop this revision after2 runs and inspect saved states before the sole remaining substantive repair, maximum600additional seconds.", + "control": { + "candidate_id": "bispf-vaegan-transport-v1", + "task_map": {} + }, + "falsifier": { + "metric": "likelihood_hq", + "op": "<", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "hypothesis": "A single global finite-budget cosine settling schedule repairs both unchanged VAEGAN tasks after transport-only failed; retain all adversarial, reconstruction and latent regularization objectives. This schedule comparison does not prove transport necessary.", + "id": "vaegan-coverage-settle-v1", + "max_rounds": 1, + "prediction": { + "metric": "likelihood_hq", + "op": ">=", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "prior_evidence": [ + { + "identity": { + "schema": "vaegan_coverage_round1_diagnosis_v1" + }, + "path": "reports/forge/vaegan-coverage/round1-diagnosis.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "vaegan_coverage" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/studies/vaegan-coverage-transport-v1.json b/configs/forge/studies/vaegan-coverage-transport-v1.json new file mode 100644 index 000000000..15669e4cf --- /dev/null +++ b/configs/forge/studies/vaegan-coverage-transport-v1.json @@ -0,0 +1,54 @@ +{ + "campaign": { + "budget_seconds": 1200, + "candidate_budget_seconds": 600, + "id": "vaegan-coverage-round1-v1" + }, + "candidate": "bispf-vaegan-transport-v1", + "competing_explanation": "Final-state low usage is associative and also occurs in the passing categorical control. Added transport could conflict with reconstruction, underfill narrow modes, or leave transient instability unchanged. Full original sustained gates decide outcomes; endpoint predictions do not replace them. No seed repeats, gate changes, task pruning or unchanged paid retries. On failure inspect saved scheduled states before at most two separately frozen substantive repairs, each at most600 seconds and two1200-update runs; whole campaign maximum2400 seconds.", + "control": { + "candidate_id": "bispf-optimized-quintic-v1", + "task_map": {} + }, + "falsifier": { + "metric": "likelihood_hq", + "op": "<", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "hypothesis": "One global projected transport auxiliary repairs sustained independent-prior generation in hard VAEGAN while retaining the categorical positive reference; measure an exact matched CUDA baseline before causal comparison.", + "id": "vaegan-coverage-transport-v1", + "max_rounds": 1, + "prediction": { + "metric": "likelihood_hq", + "op": ">=", + "phase": "final", + "task_id": "model_vae_hard", + "threshold": 0.85 + }, + "prior_evidence": [ + { + "identity": { + "record_id": "api-model-vae-failure-investigation-v1" + }, + "path": "reports/forge/records/api-model-vae-failure-investigation-v1.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "vaegan_coverage" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } +} diff --git a/configs/forge/tasks/ae_gan_hold.json b/configs/forge/tasks/ae_gan_hold.json index ed1156444..834b56c59 100644 --- a/configs/forge/tasks/ae_gan_hold.json +++ b/configs/forge/tasks/ae_gan_hold.json @@ -61,14 +61,14 @@ "minimum_stable_checks": 5, "scoring_weights": "live", "sources": { - "benchmarks/transfer_suite/protocol.py": "99469b022b790a18a74021a6fe49424d95f535afaa220643688a1ddd7a70ab89", - "benchmarks/locked_shared/observation.py": "bd6f9845b44f1ec2a58d445727990ba5068c7aca3b6f981cf38d738a37c4513b", "benchmarks/locked_shared/baseline.py": "8f1f58fc9cb90159c555788e593769d50070deaa078d0637bf881cf074f6680b", - "particlegan/conditional_transport.py": "4ffa96e7688825b83e618edbc1f0e2a6bc1ac6fb2e3e5d04d7f27274069e24ee", - "particlegan/kinetic_transport.py": "8922627370b55e9e6b47e4c946f94cbd23f87bf17a94c6b9410fcf3c3967c1ee", - "experiments/forge/behavior_adapters.py": "efaa4654e69c6361562a65c1f8cca3e04b05e91797ed0ce3900c70986edcbfc8", "benchmarks/locked_shared/hosts/ae_gan_hold.py": "3d2f45e3542e177d008a8fe4e1fcef49117909b39ef2fe5855e0e8883e5abeff", - "benchmarks/toy100/device.py": "7fa0f53db44e8824d3497b471e9fe8db56cbf8b4e02ddf997f65beed63f81911" + "benchmarks/locked_shared/observation.py": "bd6f9845b44f1ec2a58d445727990ba5068c7aca3b6f981cf38d738a37c4513b", + "benchmarks/toy100/device.py": "7fa0f53db44e8824d3497b471e9fe8db56cbf8b4e02ddf997f65beed63f81911", + "benchmarks/transfer_suite/protocol.py": "99469b022b790a18a74021a6fe49424d95f535afaa220643688a1ddd7a70ab89", + "experiments/forge/behavior_adapters.py": "a7e07a688bfa5800f9de34dc5a116c53ca9b1e96ca339fc0a6e64794e74d8614", + "particlegan/conditional_transport.py": "4ffa96e7688825b83e618edbc1f0e2a6bc1ac6fb2e3e5d04d7f27274069e24ee", + "particlegan/kinetic_transport.py": "8922627370b55e9e6b47e4c946f94cbd23f87bf17a94c6b9410fcf3c3967c1ee" }, "guards": { "finite_state": true, @@ -82,65 +82,87 @@ "rng_isolation": true }, "evaluator_revision": { - "id": "guarded-gram-default-receipt-source-binding-v1", - "change": "Bind the optional guarded-Gram profile receipt compatibility update for future execution. The full effective Recipe is still validated; an unselected default optimizer_dense_profile is omitted from historical applied receipt metadata. Only current source provenance changes. Architecture, data/target/prior/sampling laws, initialization, budgets, cadence, numerical gates and previous source-bound verdicts remain unchanged; this refresh grants no evidence reuse, pass credit or numerical-profile adoption.", - "previous_task_commit": "90ae663551dd0fa35749d56e1859f276a4d09587", + "id": "pr-474-develop-integration-20261108", + "previous_task_commit": "528807d4b26db979c8e77d0543d266514c8e14d9", "previous_task_path": "configs/forge/tasks/ae_gan_hold.json", - "previous_task_sha256": "607689de7b76e774f30f3d0cc26f5c5524b40d36ed86e353f29c29134a5a8c8b", - "previous_source_sha256": { - "experiments/forge/behavior_adapters.py": "639d437a4621de84396dcfe6e192b8bd3ed72382bd8cde8943edba336d3cd104" - }, + "previous_task_sha256": "5ceb818cfc0914e7e5d54a69bfa06c386284ac1795e86821b7b2388b9bb997b3", + "previous_task_blob": "ed11564445be34f64d98341809556df93c17d0eb", + "change": "Bind future executions to integrated provider/adapter bytes. Original research task/source/seed/initialization, receipts and verdicts stay archived at the original PR head. No original attempt is relabelled or regraded.", "previous_revision": { - "id": "pr399-host-device-replay-source-only-v1", - "change": "Bind device-correct legacy fixtures and experiment RNG preservation plus recorded-device/initializer affine replay and receipt validation. No EMA-idle hooks are adopted. Architecture, target/data/prior/serving laws, optimizer policy, budgets, cadence and numerical gates are unchanged. Archived declarations and source-bound results retain their original identities.", + "id": "guarded-gram-default-receipt-source-binding-v1", + "change": "Bind the optional guarded-Gram profile receipt compatibility update for future execution. The full effective Recipe is still validated; an unselected default optimizer_dense_profile is omitted from historical applied receipt metadata. Only current source provenance changes. Architecture, data/target/prior/sampling laws, initialization, budgets, cadence, numerical gates and previous source-bound verdicts remain unchanged; this refresh grants no evidence reuse, pass credit or numerical-profile adoption.", + "previous_task_commit": "90ae663551dd0fa35749d56e1859f276a4d09587", + "previous_task_path": "configs/forge/tasks/ae_gan_hold.json", + "previous_task_sha256": "607689de7b76e774f30f3d0cc26f5c5524b40d36ed86e353f29c29134a5a8c8b", + "previous_source_sha256": { + "experiments/forge/behavior_adapters.py": "639d437a4621de84396dcfe6e192b8bd3ed72382bd8cde8943edba336d3cd104" + }, "previous_revision": { - "id": "combined-opt-in-prior-source-v1", - "change": "Bind the integrated proximal, Coulomb, SIGReg, moment-tether and initial-MMD public API for future execution. Only current source provenance changes; architecture, target/data/prior/sampling laws, budgets, cadence and numerical gates are unchanged. 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Earlier source-bound receipts and verdicts retain their original identities; this refresh grants no reuse or pass credit.", + "previous_task_commit": "82f38664e4d6fb4aac67ed99d87887d6e6e4b357", + "previous_task_path": "configs/forge/tasks/model_vae_hard.json", + "previous_task_sha256": "66d639fb56e8ea5b6abb5fd8f93a12c141af2d6ba8c60e80054afc197c5b3b1e", + "previous_task_blob": "3bc31e0700a46260bc5af1429b0cd11fd51fbdb5", + "previous_source_sha256": { + "particlegan/policy.py": "4eb130cb5982c8333eec1abac6829c76b8aeea8f4ce87bc90b06b805c7dede0c" + } + }, "previous_source_sha256": { - "particlegan/policy.py": "4eb130cb5982c8333eec1abac6829c76b8aeea8f4ce87bc90b06b805c7dede0c" - } + "benchmarks/toy_audit/api_contract.py": "08a5eac1a186a22c09f47d324f69772af1f1922832383d372488ecb7091eb75d", + "benchmarks/toy_audit/api_run.py": "b5f1e130e6daa4cfbf172b9beb13ab1e691c8fadba59d1aec58f74368df475d3" + }, + "integration_receipt": "reports/forge/pr-integration-20261109/pr-461.json" + }, + "integration_source_binding": { + "id": "reviewed-model-prs-integration-20261109", + "change": "Bind future executions to the reviewed combined source. 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Bind current sources for future execution only; original receipts and verdicts remain unchanged." + } } } } - } + }, + "previous_source_sha256": { + "experiments/forge/behavior_adapters.py": "efaa4654e69c6361562a65c1f8cca3e04b05e91797ed0ce3900c70986edcbfc8" + }, + "qualification_input": false + }, + "integration_source_binding": { + "id": "reviewed-model-prs-integration-20261109", + "change": "Bind future executions to the reviewed combined source. 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Bind current sources for future execution only; original receipts and verdicts remain unchanged." + "id": "opt-in-component-objective-hooks-v1", + "change": "Explicit optional transport/protected-objective hooks and current source binding. Original question, architecture, data/prior/sampling laws, update budget, cadence and all numerical gates retained. Disabled mechanisms preserve original behavior.", + "original_task_commit": "5737ade47dca89b04d338ada20667781d1f2b5df", + "original_task_path": "configs/forge/tasks/unused_token_hold.json", + "previous_source_sha256": {}, + "previous_revision": { + "id": "explicit-equality-and-word-prior-betas-v3", + "previous_source_sha256": { + "benchmarks/transfer_suite/protocol.py": "7626dd8236c0765645c304891d8fa79be0c05fd10876a0694d58db831ff2dc97", + "benchmarks/locked_shared/observation.py": "04067872ce228e4702e48c440222cd2f553ffb30b10ce113a4d52101e9abd9d8", + "benchmarks/locked_shared/baseline.py": "72ebe4ef6d3cfe28f1ab6073fc781a72b45173f3ce2a0b63040e84b27bed03cc" + }, + "previous_revision": null, + "change": "Correct == grading and reject unsupported operators; >= and <= numerical gates unchanged. Word fixture now honors declared prior_betas. Bind current sources for future execution only; original receipts and verdicts remain unchanged." + } } } - } - }, - "previous_source_sha256": {}, - "added_source_members": [ - "benchmarks/locked_shared/hosts/unused_token_hold.py", - "benchmarks/toy100/device.py" - ] - } + }, + "previous_source_sha256": {}, + "added_source_members": [ + "benchmarks/locked_shared/hosts/unused_token_hold.py", + "benchmarks/toy100/device.py" + ] + } + }, + "previous_source_sha256": { + "experiments/forge/behavior_adapters.py": "efaa4654e69c6361562a65c1f8cca3e04b05e91797ed0ce3900c70986edcbfc8" + }, + "qualification_input": false + }, + "integration_source_binding": { + "id": "reviewed-model-prs-integration-20261109", + "change": "Bind future executions to the reviewed combined source. Archived research retains its original source, task, gates and outcome; no quality inheritance.", + "qualification_input": false, + "previous_task_commit": "4a5ff6d4db831a23a7c95b5d14ce84ff73dfee06", + "previous_task_path": "configs/forge/tasks/unused_token_hold.json", + "previous_task_sha256": "84716b9d06d4e6f32bc29a224218baa5271b907b90bf3f27ed805ff0ed7104e3", + "previous_task_blob": "5e6a7badd60bcfbbd19072ad0f787a9cdda79150", + "integration_receipt": "reports/forge/reviewed-pr-integration-20261109/source-binding.json" } }, "resources": { diff --git a/configs/forge/view-history/ddgan-conditional-repair-v1-v1.json b/configs/forge/view-history/ddgan-conditional-repair-v1-v1.json new file mode 100644 index 000000000..fb343ef1f --- /dev/null +++ b/configs/forge/view-history/ddgan-conditional-repair-v1-v1.json @@ -0,0 +1,27 @@ +{ + "schema_version": 1, + "id": "ddgan-conditional-repair-v1", + "revision": 1, + "goal": "ddgan_conditional_repair", + "evidence_scope": "research_diagnostic", + "policy_change_reason": "User-authorized bounded conditional-law repair on unchanged plain-DDGAN Gaussian and bimodal tasks. Deeper ordinary prerequisites remain failed; these diagnostic assignments cannot fill qualification.", + "assignments": [ + { + "task": "ddgan_repair_gaussian_chain_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "order": 0 + }, + { + "task": "ddgan_repair_bimodal_chain_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "order": 1 + } + ], + "eligibility": {}, + "ranking": { + "cost_separate": true, + "policy": "diagnostic_outcomes_only" + } +} diff --git a/configs/forge/view-history/misgan-bispf-research-v1-v1.json b/configs/forge/view-history/misgan-bispf-research-v1-v1.json new file mode 100644 index 000000000..71291582d --- /dev/null +++ b/configs/forge/view-history/misgan-bispf-research-v1-v1.json @@ -0,0 +1,25 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-research-v1", + "goal": "misgan_recovery_and_imputation", + "revision": 1, + "evidence_scope": "research_diagnostic", + "assignments": [ + { + "task": "model_misgan_four_mode", + "importance": "diagnostic", + "order": 0, + "qualification_tier": 1 + } + ], + "calibration": { + "status": "provisional", + "adoption_blocker": "Scoped research diagnostic; no ordinary qualification or default adoption." + }, + "eligibility": {}, + "ranking": { + "cost_separate": true, + "policy": "diagnostic_outcomes_only" + }, + "policy_change_reason": "Explicit identifiable four-mode architecture/target variant retains the original incomplete-data and ambiguity questions without granting the unchanged 100-mode tasks pass credit." +} diff --git a/configs/forge/views/ddgan-conditional-repair-v1.json b/configs/forge/views/ddgan-conditional-repair-v1.json new file mode 100644 index 000000000..09ac38601 --- /dev/null +++ b/configs/forge/views/ddgan-conditional-repair-v1.json @@ -0,0 +1,27 @@ +{ + "schema_version": 1, + "id": "ddgan-conditional-repair-v1", + "revision": 2, + "goal": "ddgan_conditional_repair", + "evidence_scope": "research_diagnostic", + "policy_change_reason": "LoadedGPU0 first-round bimodal attempts exhausted600s before5000updates. Preserve original attempts/gates and replace only the future diagnostic wall allowance with1200s; complete Gaussian baseline is reused if source-compatible. No ordinary qualification or quality-bound relaxation.", + "assignments": [ + { + "task": "ddgan_repair_gaussian_chain_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "order": 0 + }, + { + "task": "ddgan_repair_bimodal_chain_wall_v2", + "importance": "diagnostic", + "qualification_tier": 1, + "order": 1 + } + ], + "eligibility": {}, + "ranking": { + "cost_separate": true, + "policy": "diagnostic_outcomes_only" + } +} diff --git a/configs/forge/views/misgan-bispf-research-v1.json b/configs/forge/views/misgan-bispf-research-v1.json new file mode 100644 index 000000000..236ad8458 --- /dev/null +++ b/configs/forge/views/misgan-bispf-research-v1.json @@ -0,0 +1,25 @@ +{ + "schema_version": 1, + "id": "misgan-bispf-research-v1", + "goal": "misgan_recovery_and_imputation", + "revision": 2, + "evidence_scope": "research_diagnostic", + "assignments": [ + { + "task": "model_misgan_four_mode", + "importance": "diagnostic", + "order": 0, + "qualification_tier": 1 + } + ], + "calibration": { + "status": "provisional", + "adoption_blocker": "Scoped research diagnostic; no ordinary qualification or default adoption." + }, + "eligibility": {}, + "ranking": { + "cost_separate": true, + "policy": "diagnostic_outcomes_only" + }, + "policy_change_reason": "Independent critic histories define corrected execution v2. All coupled-state v1 measurements retain their original task/view/source; v2 quality is unmeasured and inherits no PASS." +} diff --git a/configs/forge/views/r1r2-repair-word-retention-20261022.json b/configs/forge/views/r1r2-repair-word-retention-20261022.json new file mode 100644 index 000000000..d2faf6d50 --- /dev/null +++ b/configs/forge/views/r1r2-repair-word-retention-20261022.json @@ -0,0 +1,32 @@ +{ + "assignments": [ + { + "importance": "diagnostic", + "order": 0, + "qualification_tier": 1, + "task": "five_word_joint_smoke" + }, + { + "importance": "diagnostic", + "order": 1, + "qualification_tier": 1, + "task": "five_word_joint_hold" + } + ], + "calibration": { + "adoption_blocker": "Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption.", + "status": "provisional" + }, + "eligibility": {}, + "evidence_scope": "research_diagnostic", + "goal": "discriminator_stability", + "id": "r1r2-repair-word-retention-20261022", + "policy_change_reason": "Explicitly scoped word-retention diagnostic for the three frozen global repairs despite unrelated ordinary Tier1 failures. Reuse only exact own candidate/source acquisition, then restore its earliest independently confirmed parent; preserve all original numerical bounds, 20001/4000 budgets, schedule horizon, sampling and 24+restored-state checks. Missing own acquired parent remains BLOCKED. Ordinary13-gate outcomes remain unchanged.", + "ranking": { + "compare_compatible_cohorts": true, + "cost_separate": true, + "policy": "raw_metrics_only" + }, + "revision": 1, + "schema_version": 1 +} diff --git a/configs/forge/views/vaegan_coverage.json b/configs/forge/views/vaegan_coverage.json new file mode 100644 index 000000000..bdcf728f9 --- /dev/null +++ b/configs/forge/views/vaegan_coverage.json @@ -0,0 +1,31 @@ +{ + "assignments": [ + { + "importance": "diagnostic", + "order": 0, + "qualification_tier": 1, + "task": "model_vae_hard" + }, + { + "importance": "diagnostic", + "order": 1, + "qualification_tier": 1, + "task": "model_vae_categorical" + } + ], + "calibration": { + "adoption_blocker": "Two toy gates do not establish screen calibration or whole-suite adoption.", + "status": "provisional" + }, + "eligibility": {}, + "evidence_scope": "research_diagnostic", + "goal": "vaegan_coverage", + "id": "vaegan_coverage", + "policy_change_reason": "Matched CUDA research comparison of prior-coverage repair on existing hard and categorical VAEGAN tasks; keeps original target, architectures, priors, initialization, updates, cadence, live sampling and numerical gates. No ordinary qualification credit.", + "ranking": { + "cost_separate": true, + "policy": "diagnostic_outcomes_only" + }, + "revision": 1, + "schema_version": 1 +} diff --git a/docs/api.md b/docs/api.md index 0cfce898a..a428efdaa 100644 --- a/docs/api.md +++ b/docs/api.md @@ -936,6 +936,23 @@ recipe. Explicit legacy arms select the K3P optimizer; `reg_arm="k3p"` selects the earlier K3P penalty too. `reg_arm=None` follows `critic_formulation`, whose restoration default is KA2. These choices are recorded in new source/formulation cohorts. +For the fixed arms, `reg_real_weight` and `reg_fake_weight` separately multiply +the two mean penalties. Both default to `1`; for example, +`Recipe(reg_arm="a_r1r2", reg_fake_weight=0)` applies real-only R1 at the +unchanged `reg_coeff / 2` coefficient. A zero-weight term performs no critic +forward. Nondefault weights require an explicit fixed arm and form a new +recipe/checkpoint identity. + +`joint_reconstruction_weight` defaults to `0`. An explicitly bound joint +inverse host can add `recipe.joint_reconstruction_loss(reconstruction, target)` +to its generator/encoder loss. Continuous values use mean squared error; +passing `categorical_dim` interprets the reconstruction as raw logits and uses +stable categorical cross entropy. Targets are detached. The five-word joint +fixture consumes this objective as `G(E(real_words))` using its existing real +batch, without extra draws or a change to generation. Scalar hosts without a +joint inverse are inapplicable; ordinary AE/VAE reconstruction keeps its own +declared objective. + `get_recipe("bcap")` selects fixed BCAP with zero-momentum `dualnorm`, `constraint_geometry_mode="direction_blend"`, and constant G/D/prior step sizes. Direction blending protects existing task objectives across the joint @@ -1436,7 +1453,7 @@ caller. | --- | --- | | `recipe.make_prior(**kwargs)` | Prior selected by `prior_kind`, tables drawn at random ([initialize](#initializing-priors) for R2) | | `recipe.make_loss()` | `GANLoss(recipe.loss, labels=recipe.loss_labels)` (default non-saturating logistic) | -| `recipe.make_optimizers(G, D, prior=None, *, encoder=None, ema_critic=None, **adam_kwargs)` | Build `(opt_g, opt_d)` over the weights as given (see below) | +| `recipe.make_optimizers(G, D, prior=None, *, encoder=None, ema_critic=None, separate_encoder_groups=False, **adam_kwargs)` | Build `(opt_g, opt_d)` over the weights as given (see below) | | `recipe.make_critic_optimizer(D, *, ema_critic=None, **adam_kwargs)` | Recipe-selected optimizer for one (additional) critic (see below) | | `recipe.make_generator_optimizer(params, *, modules=None, latent_table=None, direct_particles=None, **adam_kwargs)` | Recipe-selected optimizer for generator-side params; `modules` binds kernel semantics alongside custom groups | | `recipe.make_critic_penalty(opt_d, *, output=None, collect_stats=False, **penalty_kwargs)` | The critic penalty paired with a critic optimizer (see below) | @@ -1458,6 +1475,11 @@ The previous K3P critic replays through The following loop and Adam controller descriptions use the explicit KA2 recipe. The default optimized BISPF recipe also uses the protected-backward contract below. +When binding G and E to `UpdatePolicy`, pass `separate_encoder_groups=True`. +Native Adam then uses distinct homogeneous generator and encoder groups with +identical network settings. Parameter updates and per-parameter Adam state are +unchanged; the default retains develop's unlabelled G/E checkpoint groups. +Normalized optimizer families already separate these roles. For BISPF, declare a native continuous feature vector with `recipe.make_critic_penalty(opt_d, input_domain="continuous")`, or pass `penalty_options={"input_domain": "continuous"}` to `GANTrainer`. The declaration diff --git a/docs/forge-execution-witnesses.md b/docs/forge-execution-witnesses.md new file mode 100644 index 000000000..2457d4ef4 --- /dev/null +++ b/docs/forge-execution-witnesses.md @@ -0,0 +1,44 @@ +# Future execution witnesses + +New ordinary Forge runtime attempts attach `observed_contract` version 1 only +when the executed adapter receipt contains the resolved recipe, initializer, +protocol seed and executed sampling law, including measured parameter weights +and output noise. The runtime observes its actual software, hardware, thread +count and deterministic settings, and checks these facts against the complete +frozen execution/evaluation contract. Missing or conflicting facts produce +`observed_contract_gaps`; they do not change the numerical grade. + +The scalar `_Run` adapter observes sample calls during evaluation, distinguishing +live, EMA and policy-swapped averaged parameters. Mixed observations and adapters +without this explicit observation cannot claim a live-weight witness. Selected +policy contracts require their own matching weight-source observation; a +`state_selected` label alone does not establish one. No witness changes sampling, +adds a sample, modifies weights or advances an executing RNG stream. + +After ordinary queue certification, each new durable attempt directory contains +`request.json`, `result.json`, `evidence.json` and a compact `coverage.json`. +Numerical PASS/FAIL rows with complete witnesses contain a producer pointer to +the original attempt ID and final result hash. Operational, partial or unsupported +outcomes remain gaps. The frozen grader remains the numerical authority. + +The automatic export never rewrites `reports/forge/attempt-coverage.json` or an +older attempt. A publisher can use the exact-contract export helper to assign a +display family and combine explicitly selected new rows: + +```python +from experiments.forge.contracts import read_json +from experiments.forge.observations import coverage_export + +export = coverage_export( + read_json(attempt_directory / "request.json"), + read_json(attempt_directory / "result.json"), + read_json(attempt_directory / "evidence.json"), + family="declared-display-family", +) +``` + +The family argument is only a display label. The current coverage verifier still +checks the producer triplet, task/source identity, applied facts, full frozen +contract and numerical grading certificate before accepting a row. This helper +cannot retrofit missing observations onto historical evidence or establish +scientific quality from the presence of a witness. diff --git a/docs/reproducing.md b/docs/reproducing.md index bb8e0d168..868219ca3 100644 --- a/docs/reproducing.md +++ b/docs/reproducing.md @@ -1,7 +1,12 @@ # Reproducing and checking experiments Use Python 3.11 or newer, as required by [the package metadata](../pyproject.toml). -The CPU test workflow checks Python 3.11 and 3.12. +The CPU test workflow checks the full non-CUDA suite in four shards on each of +Python 3.11 and 3.12, and verifies a complete nonoverlapping collection for each +interpreter. A separate installed-wheel job checks the base public API and exact +checkpoint continuation on Python 3.11 with Torch 2.6.0 and NumPy 1.26.0. That job +installs no optional extras; it does not claim minimum-version support for a +Torchvision/experiment dependency combination it has not tested. Run these commands from the repository root: ```bash @@ -34,7 +39,14 @@ an expensive training run reaches its final evaluation. Run `python scripts/check_lint.py` for the reviewed Ruff baseline used by CI. Install the `dev` extra to get its pinned Ruff version. The baseline retains existing fixture imports and exports; new findings and resolved exemptions both -fail the check. After reviewing a change, refresh the compact baseline with +fail the check. Undefined names (`F821`) are strict: even `--update-baseline` +refuses them. Three reviewed static control-flow false positives in frozen +reproduction sources have exact path/message/source-SHA exceptions in the lint +driver; changing their bytes or introducing another undefined name fails the +strict gate. The retained `F811` entries were reviewed as imported pytest fixture +names shadowed by injected fixture arguments, rather than active implementation +redefinitions. Their existing counts stay explicit; new redefinitions still fail. +After reviewing a change, refresh the compact baseline with `python scripts/check_lint.py --update-baseline`. Historical source snapshots under `reports/` are outside this lint scope. diff --git a/experiments/forge/adapters.py b/experiments/forge/adapters.py index 34fc9dd30..fb3d13b70 100644 --- a/experiments/forge/adapters.py +++ b/experiments/forge/adapters.py @@ -7,6 +7,7 @@ from __future__ import annotations from copy import deepcopy +from functools import wraps import hashlib import json import math @@ -307,6 +308,8 @@ def __init__(self, context, trainer, output, task, *, sampling_law=PUBLIC_PRIOR_ self.output.mkdir(parents=True, exist_ok=True) self.started = time.monotonic() self.finite = True + self.measuring = False + self.measured_weights = set() self.rng_audits = [] self.last_update = {} self.policy_audit = None @@ -339,6 +342,17 @@ def measured_sample(*args, **kwargs): with self.timing.measure("sampling"): return original_sample(*args, **kwargs) trainer.sample = measured_sample + original_measured_sample = trainer.sample + @wraps(original_measured_sample) + def observed_sample(*args, **kwargs): + # ema=False may still select policy-swapped averaged parameters. + weights = "ema" if kwargs.get("ema", False) else ( + "served_average" if trainer.policy._fast is not None else "live") + result = original_measured_sample(*args, **kwargs) + if self.measuring: + self.measured_weights.add(weights) + return result + trainer.sample = observed_sample def step(self, real): before = self.trainer.completed_steps @@ -360,8 +374,12 @@ def evaluate(self, function): before = self.context.streams.audit() cpu = torch.get_rng_state().clone() cuda = torch.cuda.get_rng_state(self.context.device).clone() if self.context.device.type == "cuda" else None - with self.timing.measure("evaluation"): - result = function() + self.measuring = True + try: + with self.timing.measure("evaluation"): + result = function() + finally: + self.measuring = False after = self.context.streams.audit() bindings = self.context.streams.manifest()["bindings"] allowed = [key for key, value in bindings.items() if value["family"] == "eval"] @@ -422,6 +440,9 @@ def updates(optimizer, parameters): "unintended_rng_deviations": sum(a["unintended_rng_deviations"] for a in self.rng_audits)} evidence = {**evidence, "guards": guards, "rng_audits": self.rng_audits, **self.sampling_policy} + if self.measured_weights: + evidence["executed_scoring_weights"] = (next(iter(self.measured_weights)) + if len(self.measured_weights) == 1 else "mixed") if self.optimizer_diagnostics is not None: evidence["optimizer_diagnostics"] = self.optimizer_diagnostics.receipt() if self.policy_audit is not None: diff --git a/experiments/forge/api.py b/experiments/forge/api.py index 379b013d1..3253876ab 100644 --- a/experiments/forge/api.py +++ b/experiments/forge/api.py @@ -296,6 +296,14 @@ def task_policy_blockers(task, candidate): recipe = resolve_public_recipe(candidate) except CapabilityError as error: return error.blockers + if recipe.conditional_energy_weight: + host = task.get("execution", {}).get("host_definition", {}) + if (task.get("adapter") != "public_api_model_toy" + or host.get("provider") != "benchmarks.toy_audit.api_model_ddgan"): + return ["conditional energy score requires an explicitly supported paired conditional host"] + if ((recipe.masked_mixture_weight or recipe.masked_transport_weight or recipe.imputer_component_weight) + and task.get("execution", {}).get("host_definition", {}).get("provider") != "benchmarks.toy_audit.api_model_misgan"): + return ["masked mixture/imputer objectives require the explicit MisGAN component consumer"] from .tier1_policy import blocked_host, is_policy_task policy_task = is_policy_task(task) if policy_task and blocked_host(task) is not None: @@ -310,11 +318,18 @@ def task_policy_blockers(task, candidate): policy_two_pole = (policy_task and task.get('execution', {}).get('host') == 'two_pole' and not (recipe.kinetic_transport_weight or recipe.kinetic_transport_local_weight)) - if consumer is not None and (consumer != 'output_marginal_v1' + execution = task.get('execution', {}) + model_vae_transport = (task.get('adapter') == 'public_api_model_toy' + and task.get('task_cohort') == 'api_model_vae_seed0_v1' + and execution.get('host') in ('api-model-vae-hard', 'api-model-vae-categorical') + and execution.get('host_definition', {}).get('provider') == 'benchmarks.toy_audit.api_model_vae') + if consumer is not None and not model_vae_transport and (consumer != 'output_marginal_v1' or task.get('adapter') not in ('transfer_behavior', 'word_joint') or task.get('execution', {}).get('host') not in COMPONENT_OBJECTIVE_HOSTS or (task.get('task_cohort') not in COMPONENT_TRANSPORT_COHORTS and not policy_two_pole)): return ['unsupported explicit component transport consumer'] + if model_vae_transport and consumer not in (None, 'output_marginal_v1'): + return ['unsupported explicit model VAE transport consumer'] if (recipe.kinetic_transport_weight or recipe.kinetic_transport_local_weight) and task.get("execution", {}).get("execution_path") == "public_components" and consumer is None: return [f"{task.get('id', '')}: frozen public_components host does not consume " "Recipe kinetic transport sample-space losses; mechanism is unsupported"] diff --git a/experiments/forge/behavior_adapters.py b/experiments/forge/behavior_adapters.py index e171e3e7c..5f9b3b9ee 100644 --- a/experiments/forge/behavior_adapters.py +++ b/experiments/forge/behavior_adapters.py @@ -515,12 +515,15 @@ def optimizer_group_bindings(self): def receipt(self): from .boundaries import ownership_receipt resolved_recipe = asdict(self.recipe) - recipe = without_default_additions(resolved_recipe, fields=("optimizer_dense_profile",)) + recipe = without_default_additions(resolved_recipe, fields=("optimizer_dense_profile", + "reg_real_weight", "reg_fake_weight", "joint_reconstruction_weight", + "conditional_energy_weight", "conditional_energy_samples", + "masked_mixture_weight", "masked_transport_weight", "imputer_component_weight")) ownership = ownership_receipt(self.reference_candidate, self.task, resolved_recipe, self.protocol, self.context.initializer, extension_recipe_bindings=self.context.bindings["recipe"]) # Validate the complete effective Recipe above, then preserve the - # historical applied-packet shape for an unselected optional profile. + # historical applied-packet shape for unselected optional additions. ownership["recipe_fields"] = {name: value for name, value in ownership["recipe_fields"].items() if name in recipe} return dict(execution_path="public_components", recipe=recipe, diff --git a/experiments/forge/boundaries.py b/experiments/forge/boundaries.py index 019cee814..41440289b 100644 --- a/experiments/forge/boundaries.py +++ b/experiments/forge/boundaries.py @@ -34,8 +34,10 @@ TASK_RECIPE_FIELDS = RESOURCE_FIELDS | {"prior_kind", "sigma_rel", "standardize"} TECHNIQUE_RECIPE_FIELDS = frozenset({ "training_precision", + "masked_mixture_weight", "masked_transport_weight", "imputer_component_weight", "optimizer_svd_backend", "optimizer_convolution_rule", "optimizer_dense_profile", "prior_update", "prior_regularizer", + "reg_real_weight", "reg_fake_weight", "joint_reconstruction_weight", "name", "critic_formulation", "model", "loss", "num_classes", "conditioning", "ucd_target", "encoder_mode", "distance_reduction", "continuous_policy", "reg_arm", "direct_particle_gain", "critic_r1_real", "critic_payoff_damping", "output_noise_mode", "lr_control", @@ -47,6 +49,7 @@ "critic_step_mode", "bispf_shape_gates", "bispf_gate_overrides", "prior_code_law", "generator_gradient_response", }) HYPERPARAMETER_RECIPE_FIELDS = TUNABLE_FIELDS | { + "conditional_energy_weight", "conditional_energy_samples", "prior_sigreg_projections", "prior_sigreg_knots", "kinetic_transport_projections", "ucd_weight", "alpha_bar", "ema_decay", "network_lr_horizon_cap", @@ -296,6 +299,15 @@ def ownership_receipt(candidate, task, resolved_recipe, protocol=None, initializ result[name] = _record(None, owner, "task prior-control applicability", status="not_applicable", reference_recipe_value=_json_value(value), representation=prior_binding["representation"]) + elif name == "joint_reconstruction_weight" and task.get("adapter") != "word_joint": + result[name] = _record(None, owner, "task joint-inverse reconstruction applicability", + status="not_applicable", reference_recipe_value=_json_value(value)) + elif name in {"reg_real_weight", "reg_fake_weight"} and ( + resolved_recipe["reg_arm"] not in {"a_r1r2", "b_cap"} + or (task.get("adapter") == "public_api_model_toy" + and execution.get("host_definition", {}).get("adversarial") is False)): + result[name] = _record(None, owner, "task fixed critic-penalty applicability", + status="not_applicable", reference_recipe_value=_json_value(value)) elif name in behavior_owned: result[name] = _record(None, owner, "frozen behavioral host objective/component source", status="host_owned", reference_recipe_value=_json_value(value)) diff --git a/experiments/forge/family_reports.py b/experiments/forge/family_reports.py index dfca86126..ab3f0b12e 100644 --- a/experiments/forge/family_reports.py +++ b/experiments/forge/family_reports.py @@ -606,6 +606,8 @@ def load(path): policy_cloud = load_records(root, load) support = load(COVERAGE_PREFLIGHT) if (root / COVERAGE_PREFLIGHT).is_file() else None attempt_path = Path("reports/forge/attempt-coverage.json") + from .publication_integrity import load_corrections + evidence_corrections = load_corrections(root, load) run_attempts = {} attempt_summary = None if (root / attempt_path).is_file(): @@ -623,6 +625,9 @@ def load(path): if attempt["status"] not in {"PENDING", "RUNNING", "PASS", "FAIL", "INCOMPLETE", "INVALID", "ERROR", "TIMEOUT", "BLOCKED", "INTERRUPTED"}: raise ValueError("invalid run-attempt status") + attempt = deepcopy(attempt) + if attempt["key"] in evidence_corrections: + attempt["evidence_correction"] = deepcopy(evidence_corrections[attempt["key"]]) run_attempts[key] = attempt followup = Path("reports/forge/actual-missing-diagnostics-20261014/results.json") diagnostic_executions = set() @@ -913,6 +918,7 @@ def view_row(view): "problem_definitions": problems, "input_hashes": dict(sorted(inputs.items())), "renderer_sha256": file_hash(Path(__file__)), + "integrity_renderer_sha256": file_hash(Path(__file__).with_name("publication_integrity.py")), "research_renderer_sha256": file_hash(Path(__file__).with_name("research_tiers.py")), "pr399_renderer_sha256": file_hash(Path(__file__).with_name("pr399_scores.py")), "policy_cloud_renderer_sha256": file_hash(Path(__file__).with_name("policy_cloud_publication.py")), @@ -1117,18 +1123,33 @@ def render_problem_list(root, publication, page): "| Problem | What it tests | Has any configuration passed? |", "| --- | --- | --- |"] for item in definitions: + passers = [family["label"] for family, cohort in selected + if cohort["tasks"].get(item["task"], {}).get("status") == "PASS"] + summary = ("Selected recorded PASS: " + ", ".join(passers) + "." if passers else + "No selected recorded PASS; see exact outcomes and dated diagnostic evidence below.") lines.append("| " + link(root, page, item["title"], PROBLEM_PAGE.as_posix(), item["task"]) + - f" | {cell(item['intent'])} | " - f"{cell(item['pass_summary'])} |") + f" | {cell(item['intent'])} | {cell(summary)} |") for item in definitions: task = item["task"] lines += ["", f'', "", f"## {item['title']}", "", f"Test: `{task}` · " + ("Held for qualification; included in full-suite results." if task in held else "Required for qualification and included in full-suite results."), "", "**What it tests.** " + item["intent"], "", - "**The problem.** " + item["problem"], "", - "**Has any configuration beaten it?** " + item["pass_summary"], ""] + "**Historical diagnosis" + (" (" + registry["evidence_date"] + ")" if registry.get("evidence_date") else "") + + ".** " + item["problem"], "", + "**Historical passer evidence.** " + item["pass_summary"], ""] lines += ["- " + passer for passer in item["passers"]] + corrections = {} + for _, cohort in selected: + entry = cohort["tasks"].get(task, {}) + correction = entry.get("evidence_correction") or entry.get("run_attempt", {}).get("evidence_correction") + if correction: + corrections[correction["id"]] = correction + for correction in corrections.values(): + lines += ["", "**Scope correction for retained diagnostic observations.** " + + correction["reason"] + " Original outcomes remain archived; they do not establish the " + "declared unassisted recipe/task claim. " + + link(root, page, "Exact observation identities", correction["registry"]) + "."] lines += ["", "**Selected recipes' recorded results:**", "", "| Selected recipe | Result |", "| --- | --- |"] for family, cohort in selected: @@ -1137,7 +1158,7 @@ def render_problem_list(root, publication, page): result_label = "NOT MEASURED" if status == "UNKNOWN" else status lines.append("| " + link(root, page, family["label"], family["page"], cohort["anchor"]) + " | " + link(root, page, result_label, family["page"], cohort["anchor"] + "-experiment-" + task) + " |") - lines += ["", "**What remains to solve.** " + item["next_step"], "", + lines += ["", "**Recommendation from the dated diagnosis.** " + item["next_step"], "", "Evidence: " + " · ".join(link(root, page, ref["label"], ref["path"], ref.get("anchor")) for ref in item["evidence"]) + ".", ""] return "\n".join(lines) @@ -1154,7 +1175,9 @@ def _diagnostic_passers(selected, task): """Selected recipes whose separate diagnostic run passes a task their recorded result does not.""" return [family["label"] for family, cohort in selected if cohort["tasks"][task]["status"] != "PASS" - and cohort["tasks"][task].get("run_attempt", {}).get("status") == "PASS"] + and cohort["tasks"][task].get("run_attempt", {}).get("status") == "PASS" + and not (cohort["tasks"][task].get("evidence_correction") + or cohort["tasks"][task].get("run_attempt", {}).get("evidence_correction"))] def _uncounted_disclosure(summed, selected): @@ -1355,6 +1378,10 @@ def render_leaderboard(root: Path, publication: dict, page: Path) -> str: "For example, BCAP's selected recipe uses DualNorm; Confidence LR, Finite critic cap and Positive evidence " "are separate BCAP research recipes, with their own scores.", "", "Click a count for its gates, measurements and evidence. Required lower tiers must pass before advancing.", "", + "Counts describe screening and selection evidence. Scientific superiority or public-default adoption " + "requires report-bound accepted calibration and independently frozen confirmation evidence. Software " + "repairs grant neither; unmeasured confirmation remains unmeasured. Tuning effort and task holdout " + "disclosures accompany the full-suite comparison below.", "", "## Selected recipes", "", "Passes / required-view instances for one selected recipe per family. Shared tests count once in every view " f"that requires them: **{counted} means {counted} counted view requirements, including repeated tests**, " @@ -1363,9 +1390,16 @@ def render_leaderboard(root: Path, publication: dict, page: Path) -> str: "**Held and removed tests** below. " if uncounted else "") + "These totals project recorded task outcomes onto the current requirements; historical qualifications " "keep their original policy revisions. Held failures remain visible in the " - "full-suite results below; separate diagnostic runs appear below.", "", - *_table_header(tiers=report_tiers, selected=True)] + "full-suite results below; separate diagnostic runs appear below.", ""] selected = list(_selected_cohorts(progress)) + from .publication_integrity import CORRECTIONS + if (root / CORRECTIONS).is_file(): + lines += ["**Scientific scope corrections (2026-11-08):** assisted or recipe-adapted coverage remains " + "archived diagnostic evidence under its exact original identity. It does not replace an ordinary " + "selected-cohort grade. Constructor refusals, blocked dependencies, execution errors and missing " + "measurements retain their recorded status and earn no pass credit. " + + link(root, page, "Source-bound correction registry", CORRECTIONS.as_posix()) + ".", ""] + lines += _table_header(tiers=report_tiers, selected=True) for family, cohort in selected: name = family["label"] if cohort["backend"] != "cuda" or (len(family["cohorts"]) > 1 and not family.get("current_cohort_anchor")): @@ -1909,6 +1943,12 @@ def per_tier(role): "Test definition: **" + _definition_label(result) + "**. " + cell(result["coverage_reason"]) + " " + cell(result["reason"]), ""] attempt = result.get("run_attempt") + correction = result.get("evidence_correction") or (attempt or {}).get("evidence_correction") + if correction: + lines += ["**Scientific scope correction:** " + cell(correction["reason"]) + " " + + "The original observation remains recorded below as an archived diagnostic; it does not " + "establish faithful execution of this selected recipe/task contract. " + + link(root, page, "Source-bound correction", correction["registry"]) + ".", ""] if attempt and attempt.get("attempted"): lines += ["Run attempt: **" + cell(attempt["status"]) + "** (" + cell(attempt.get("origin")) + "; qualification unchanged). " + diff --git a/experiments/forge/model_toy_adapter.py b/experiments/forge/model_toy_adapter.py index 87c096159..32da63f36 100644 --- a/experiments/forge/model_toy_adapter.py +++ b/experiments/forge/model_toy_adapter.py @@ -18,6 +18,10 @@ from .state import state_digest +class ModelToyExecutionError(RuntimeError): + """A provider did not complete; preserve its original diagnostic receipt.""" + + def definition(task): from benchmarks.toy_audit.api_contract import MODEL_PROVIDERS, validate_case host = task["execution"]["host_definition"] @@ -56,6 +60,10 @@ def validate_task(task, *, root=None): expected_resources = dict(num_particles=module.PARTICLES, z_dim=module.Z_DIM, batch_size=module.BATCH) if any(stable_hash(host[key]) != stable_hash(case[key]) for key in ("target", "architecture")): raise ValueError("VAE task target or network declaration differs from the executable host") + elif case["provider"] == "api_model_misgan": + expected_resources = module.RESOURCES + if host != case["host_definition"]: + raise ValueError("MisGAN task host differs from the executable definition") else: from benchmarks.toy_audit.api_model_ddgan import RESOURCES, MixtureTarget expected_resources = RESOURCES @@ -114,6 +122,7 @@ def run(request, task, output, device, *, execution_limit=None): observed = {"finite": True} handles = [] optimizer_states = {} + observation_checkpoints = [] def bind(fixture): if fixture.recipe != context.recipe: @@ -130,6 +139,10 @@ def bind(fixture): for role, module in owners.items() if module is not None} observed["fixture"] = fixture observed["audit"] = MechanismAudit(context.recipe, fixture.opt_d, [fixture.opt_g]) + if task["execution"].get("observation_checkpoints", False): + from .observation_checkpoints import checkpoint_observer + fixture.observe = checkpoint_observer(fixture, output / "observation-checkpoints", + observation_checkpoints) def hook(roles): def after(optimizer, args, kwargs): @@ -162,6 +175,19 @@ def after(optimizer, args, kwargs): finally: for handle in handles: handle.remove() + # run_case retains provider failures in api/receipt.json, including errors + # before audit_fixture is called. Do not replace that cause with a missing + # audit/fixture KeyError or turn a partial execution into a scientific FAIL. + if raw.get("status") != "COMPLETE": + diagnostics = "; ".join(str(value) for value in raw.get("failed_bounds", [])) + raise ModelToyExecutionError( + f"model provider {raw.get('status', 'UNKNOWN')} after " + f"{raw.get('completed_updates', 0)} updates: {diagnostics or 'no provider diagnostic'}; " + f"original receipt: {output / 'api/receipt.json'}") + if "audit" not in observed or "fixture" not in observed: + raise ModelToyExecutionError( + f"model provider completed without the required public fixture audit; " + f"original receipt: {output / 'api/receipt.json'}") rows = [{"step": row["step"], **{name: int(value) if type(value) is bool else value for name, value in row["metrics"].items()}} for row in raw["observations"] if row["step"] in raw["protocol"]["metric_evaluation_steps"] @@ -189,6 +215,7 @@ def finite_tensors(value): "source": raw["source"], "api_run_status": raw["status"], "api_run_verdict": raw["verdict"], "api_receipt_sha256": file_hash(output / "api/receipt.json"), "batch_sequence_sha256": getattr(fixture, "batch_sequence_sha256", None), + "observation_checkpoints": observation_checkpoints, "actual_training_gif": {"path": str((output / "api/goal.gif").resolve()), **raw.get("artifacts", {}).get("goal.gif", {})}, **executed_receipt(MODEL_TOY_CLEAN, eval_output_noise="clean")} diff --git a/experiments/forge/model_toy_sources.py b/experiments/forge/model_toy_sources.py new file mode 100644 index 000000000..62754da8f --- /dev/null +++ b/experiments/forge/model_toy_sources.py @@ -0,0 +1,16 @@ +"""Frozen non-code resources read by public model-toy provider discovery. + +AE discovery reads both task cards, including when the requested case is the +AE-DDGAN composition. These inputs must travel with the queued source, rather +than resolving against a mutable checkout or failing after reservation. +""" + + +def model_toy_source_paths(task): + if task.get("adapter") != "public_api_model_toy": + return () + provider = task.get("execution", {}).get("host_definition", {}).get("provider", "") + if provider in ("benchmarks.toy_audit.api_model_ae", "benchmarks.toy_audit.api_model_ae_ddgan"): + return ("configs/forge/tasks/model_ae_reconstruction.json", + "configs/forge/tasks/model_ae_gan_multimodal.json") + return () diff --git a/experiments/forge/observation_checkpoints.py b/experiments/forge/observation_checkpoints.py new file mode 100644 index 000000000..6c51de3b8 --- /dev/null +++ b/experiments/forge/observation_checkpoints.py @@ -0,0 +1,34 @@ +"""Record complete model-toy states without changing observation or RNG state.""" +from pathlib import Path + +import torch + +from .contracts import file_hash +from .state import state_digest + + +def checkpoint_observer(fixture, directory, receipts): + """Wrap the existing observer; reject stateful evaluation and overwrites. + + State is captured after each genuine observation, including media-only + observations. The caller's receipt owns the index; nothing is added to the + fixture's checkpoint or random streams. + """ + directory = Path(directory) + directory.mkdir(parents=True, exist_ok=False) + observe = fixture.observe + + def recorded(*args, **kwargs): + before = state_digest(fixture.state_dict()) + result = observe(*args, **kwargs) + state = fixture.state_dict() + if state_digest(state) != before: + raise ValueError("model toy evaluation changed training state before checkpoint") + path = directory / f"step-{fixture.completed_steps:06d}.pt" + with path.open("xb") as stream: + torch.save(state, stream) + receipts.append(dict(step=fixture.completed_steps, path=str(path.resolve()), + sha256=file_hash(path), state_sha256=before)) + return result + + return recorded diff --git a/experiments/forge/observations.py b/experiments/forge/observations.py new file mode 100644 index 000000000..b200f5315 --- /dev/null +++ b/experiments/forge/observations.py @@ -0,0 +1,179 @@ +"""Prospective execution witnesses and exact certified coverage exports. + +Missing observations stay missing. These helpers neither grade evidence nor +repair a receipt from a task name, and never update historical publications. +""" +from __future__ import annotations + +import json +from copy import deepcopy + +from .contracts import canonical, stable_hash +from .initialization import task_initializer +from .sampling import FIELDS, validate_declaration +from .sources import compute_profile, runtime_manifest +from .views import task_evaluation_fingerprint, task_execution_fingerprint + + +def execution_environment(torch, device): + """Observe the executing process, including actual deterministic settings.""" + device = torch.device(device) + model = torch.cuda.get_device_name(device) if device.type == "cuda" else None + compute = compute_profile(device.type, model, threads=torch.get_num_threads()) + if compute.get("availability") == "unavailable": + raise ValueError("compute hardware observation unavailable") + compute.update(deterministic=torch.are_deterministic_algorithms_enabled(), + tf32=bool(torch.backends.cuda.matmul.allow_tf32 or torch.backends.cudnn.allow_tf32), + autograd_multithreading_enabled=torch.autograd.is_multithreading_enabled()) + return {"runtime": runtime_manifest(), "compute": compute} + + +def observed_contract(request, job, name, raw, environment): + """Bind actual applied facts to a complete frozen contract, or explain gaps. + + The resolver is used only to *compare* a recipe. The witness always carries + the executed adapter's recipe, initializer, RNG seed and sampling receipt. + Constructing a CPU context creates private streams, never models or draws + from any executing stream. + """ + errors = [] + task = request.get("tasks", {}).get(name, {}) + science = job.get("science", {}) + applied = raw.get("applied", raw) + evidence = raw.get("evidence", {}) + if not all(isinstance(value, dict) for value in (task, science, applied, evidence, environment)): + return None, ["malformed_observation_inputs"] + recipe = applied.get("recipe_serialized", applied.get("recipe")) + if not isinstance(recipe, dict) or not recipe: + errors.append("missing_applied_recipe") + elif ("recipe_serialized" in applied and "recipe" in applied + and stable_hash(applied["recipe_serialized"]) != stable_hash(applied["recipe"])): + errors.append("conflicting_applied_recipes") + protocol = request.get("protocol", {}) + if (type(protocol.get("seed")) is not int or applied.get("rng", {}).get("seed") != protocol.get("seed") + or science.get("protocol") != protocol or science.get("seed") != protocol.get("seed")): + errors.append("protocol_seed_mismatch_or_missing") + try: + initializer = task_initializer(task, request.get("candidate", {})) + if (applied.get("initializer") != initializer + or science.get("task_initializers", {}).get(name) != initializer): + errors.append("initializer_mismatch_or_missing") + except (KeyError, TypeError, ValueError): + errors.append("unresolved_initializer") + sampling = {key: evidence.get(key) for key in FIELDS} + sampling["scoring_weights"] = evidence.get("executed_scoring_weights") + try: + expected = validate_declaration(task, required=True) + expected["scoring_weights"] = task["evaluation"].get("scoring_weights", "live") + if sampling != expected: + errors.append("sampling_or_weights_mismatch_or_missing") + except (KeyError, TypeError, ValueError): + errors.append("unresolved_sampling") + if (not environment.get("runtime") or environment["runtime"] != request.get("runtime") + or environment["runtime"] != science.get("runtime")): + errors.append("runtime_mismatch_or_missing") + if not environment.get("compute") or environment["compute"] != science.get("compute"): + errors.append("compute_mismatch_or_missing") + if (not task.get("execution") or not task.get("evaluation") + or science.get("execution", {}).get(name) != task_execution_fingerprint(task) + or science.get("evaluation", {}).get(name) != task_evaluation_fingerprint(task) + or job.get("compatibility_key") != stable_hash(science)): + errors.append("frozen_contract_mismatch_or_missing") + if not errors: + try: + from .api import task_formulation_context + expected_recipe = task_formulation_context(request["candidate"], task, protocol, device="cpu").recipe.to_dict() + if stable_hash(recipe) != stable_hash(expected_recipe): + errors.append("resolved_recipe_mismatch") + except (KeyError, TypeError, ValueError) as exc: + errors.append(f"unresolved_recipe: {type(exc).__name__}") + if errors: + return None, errors + return json.loads(canonical({"schema_version": 1, "resolved_recipe": recipe, + "initializer": applied["initializer"], "protocol": protocol, + "sampling": sampling, "runtime": environment["runtime"], "compute": environment["compute"], + "execution": task["execution"], "evaluation": task["evaluation"]})), [] + + +def attach_observations(request, job, result, environment): + """Add optional observations without altering metrics, costs or grades.""" + result = deepcopy(result) + for name in job.get("task_ids", [job["task_id"]]): + member = result.get("task_results", {}).get(name) if "task_results" in result else result + if not isinstance(member, dict): + continue + # An adapter cannot pre-attest the worker environment. + member.pop("observed_contract", None) + try: + witness, errors = observed_contract(request, job, name, member, environment) + except Exception as exc: # noqa: BLE001 -- optional provenance cannot change the numerical outcome + witness, errors = None, [f"observation_unavailable: {type(exc).__name__}: {exc}"] + if witness is not None: + member["observed_contract"] = witness + member.pop("observed_contract_gaps", None) + else: + member["observed_contract_gaps"] = errors + return result + + +def coverage_export(resolved, result, certificate, *, family=None): + """Export exact rows from a certified attempt; no aggregate or regrading. + + ``family`` is an optional display label supplied by a publisher. It never + enters the scientific witness. Consumers still verify and independently + grade the original request/result/evidence triplet. + """ + request = resolved["request"] + digest = stable_hash(result) + if (certificate.get("result_hash") != digest or certificate.get("source") != request["source"] + or certificate.get("runtime") != request.get("runtime") + or result.get("candidate_revision") != request["candidate_revision"] + or result.get("attempt_id") != resolved["worker"]["attempt"] + or result.get("retry_of") != resolved.get("retry_of")): + raise ValueError("invalid producer certificate") + raw = result.get("raw", {}) + raw_result = raw.get("result", {}) + records, gaps = [], {} + for row in result.get("task_results", []): + name = row["task_id"] + member = raw_result.get("task_results", {}).get(name, raw_result) + witness = row.get("observed_contract") + if (raw.get("attempt_status") != "completed" or row.get("raw_status") != "completed" + or row.get("gate_status") not in {"PASS", "FAIL"}): + gaps[name] = ["non_numerical_or_incomplete_result"] + continue + if not witness or witness != member.get("observed_contract"): + gaps[name] = member.get("observed_contract_gaps", ["missing_or_conflicting_observed_contract"]) + continue + jobs = [job for job in request["jobs"] if name in job.get("task_ids", [job["task_id"]])] + if len(jobs) != 1 or row.get("compatibility_key") != jobs[0].get("compatibility_key"): + gaps[name] = ["producer_job_mismatch"] + continue + observed, errors = observed_contract(request, jobs[0], name, member, + {key: witness.get(key) for key in ("runtime", "compute")}) + if errors or observed != witness: + gaps[name] = errors or ["conflicting_observed_contract"] + continue + if request.get("requires_independent_grading"): + grading = raw.get("grading", {}) + grade = grading.get("grades", {}).get(name, {}) + if (grading.get("raw_hash") != stable_hash(raw_result) + or grading.get("source_digest") != request["source"]["digest"] + or grade.get("gate_status", grade.get("status")) != row["gate_status"]): + gaps[name] = ["invalid_frozen_grading_certificate"] + continue + task = request["tasks"][name] + record = {"candidate_id": request["candidate"]["id"], "candidate_revision": request["candidate_revision"], + "source_digest": request["source"]["digest"], "task": name, + "execution_sha256": task_execution_fingerprint(task), + "evaluation_sha256": task_evaluation_fingerprint(task), "status": row["gate_status"], + "attempted": True, "diagnostic": request.get("view", {}).get("evidence_scope") == "research_diagnostic", + "runtime": witness["runtime"], "observed_contract": deepcopy(witness), + "producer": {"attempt_id": result["attempt_id"], "result_hash": digest}} + record["key"] = stable_hash([record[field] for field in + ("source_digest", "candidate_revision", "task", "execution_sha256", "evaluation_sha256")]) + if family is not None: + record["family"] = family + records.append(record) + return {"schema": "forge_observed_coverage_v1", "qualification_input": False, + "qualification_reuse": False, "records": records, "gaps": gaps} diff --git a/experiments/forge/planning.py b/experiments/forge/planning.py index f6b91fa2a..9e1580c53 100644 --- a/experiments/forge/planning.py +++ b/experiments/forge/planning.py @@ -197,6 +197,7 @@ def get_task_static(self, task_id: str, task: dict) -> tuple[str, str, str]: def get_base_extra_sources(self) -> set[str]: if self._base_extra_sources is None: from .hostprofiles import profile_source_paths + from .model_toy_sources import model_toy_source_paths extra: set[str] = set() for task in self.get_all_tasks().values(): extra.update(relative for relative in task["evaluation"].get("sources", {}) @@ -207,6 +208,8 @@ def get_base_extra_sources(self) -> set[str]: profile_sources = {} extra.update(relative for relative in profile_sources if (self.root / relative).is_file()) + extra.update(relative for relative in model_toy_source_paths(task) + if (self.root / relative).is_file()) self._base_extra_sources = extra return self._base_extra_sources @@ -319,7 +322,7 @@ def get_candidate_info(self, idea_id: str) -> dict: execution_path=idea.get("execution_path", "public_trainer"), ) from particlegan.recipe_compat import without_default_additions - recipe = without_default_additions(asdict(context.recipe), fields=("ebi_beta", "kappa_radial", "generator_gradient_response")) + recipe = without_default_additions(asdict(context.recipe), fields=("ebi_beta", "kappa_radial", "generator_gradient_response", 'reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight')) if "configuration_id" in idea: from .configuration_search import recipe_identity_fields if stable_hash(recipe_identity_fields(recipe)) != stable_hash(recipe_identity_fields(idea["resolved_configuration_recipe"])): @@ -503,7 +506,7 @@ def candidate_revision_for(source_digest: str, candidate: dict) -> str: formulation["host_adaptation"] = candidate["host_adaptation"] if candidate.get("prior_mechanism") is not None: formulation["prior_mechanism"] = candidate["prior_mechanism"] - resolved_recipe = without_default_additions(candidate["resolved_recipe"], fields=("ebi_beta", "kappa_radial", "generator_gradient_response")) + resolved_recipe = without_default_additions(candidate["resolved_recipe"], fields=("ebi_beta", "kappa_radial", "generator_gradient_response", 'reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight')) formulation.update(resolved_recipe=resolved_recipe, prior=candidate["prior"], api_version=candidate.get("api_version", "forge-api-v1")) return stable_hash({"source": source_digest, "formulation": formulation}) @@ -674,7 +677,7 @@ def resolve_idea(root: Path, idea_id: str, *, view_id: str | None = None, extensions=idea.get("extensions", {}), initializer=idea.get("initializer", "deterministic_orthogonal"), execution_path=idea.get("execution_path", "public_trainer")) from particlegan.recipe_compat import without_default_additions - recipe = without_default_additions(asdict(context.recipe), fields=("ebi_beta", "kappa_radial", "generator_gradient_response")) + recipe = without_default_additions(asdict(context.recipe), fields=("ebi_beta", "kappa_radial", "generator_gradient_response", 'reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight')) if "configuration_id" in idea: from .configuration_search import recipe_identity_fields if stable_hash(recipe_identity_fields(recipe)) != stable_hash(recipe_identity_fields(idea["resolved_configuration_recipe"])): @@ -712,6 +715,9 @@ def resolve_idea(root: Path, idea_id: str, *, view_id: str | None = None, profile_sources = {} extra_sources.update(relative for relative in profile_sources if (root / relative).is_file()) + from .model_toy_sources import model_toy_source_paths + extra_sources.update(relative for relative in model_toy_source_paths(task) + if (root / relative).is_file()) for task in tasks.values(): for relative in task["evaluation"].get("sources", {}): if (root / relative).is_file(): diff --git a/experiments/forge/publication_integrity.py b/experiments/forge/publication_integrity.py new file mode 100644 index 000000000..0f5a72e90 --- /dev/null +++ b/experiments/forge/publication_integrity.py @@ -0,0 +1,80 @@ +"""Source-bound scope corrections without rewriting experiment observations. + +A recorded numerical PASS is retained as such. It cannot establish a different +recipe, architecture or sampler merely because a display wants a complete row. +""" +from __future__ import annotations + +from copy import deepcopy +from pathlib import Path + +from .contracts import read_json, stable_hash + +CORRECTIONS = Path("reports/forge/evidence-corrections-2026-11-08.json") +IDENTITY_FIELDS = ("source_digest", "candidate_revision", "task", "execution_sha256", "evaluation_sha256") + + +def load_corrections(root, load=None): + path = Path(root) / CORRECTIONS + if not path.is_file(): + return {} + data = load(CORRECTIONS) if load else read_json(path) + if data.get("schema") != "forge_evidence_corrections_v1": + raise ValueError("unsupported evidence correction registry") + corrections = {} + for group in data["groups"]: + for key in group["record_keys"]: + if (not isinstance(key, str) or len(key) != 64 + or any(c not in "0123456789abcdef" for c in key) or key in corrections): + raise ValueError("invalid or duplicate evidence correction key") + corrections[key] = {"id": group["id"], "reason": group["reason"], + "registry": CORRECTIONS.as_posix(), "eligible": False, + "record_sha256": group["record_sha256"][key], + "scope": "archived_contract_diagnostic", + "source_coverage": deepcopy(data["source_coverage"])} + return corrections + + +def _validate_record(record, correction): + if record["key"] != stable_hash([record.get(field) for field in IDENTITY_FIELDS]): + raise ValueError("corrected evidence has an invalid original identity") + # Bind every retained runtime/provenance field, including explicitly absent + # runtime information. The scientific key alone does not contain runtime. + original = {key: value for key, value in record.items() if key != "evidence_correction"} + if stable_hash(original) != correction["record_sha256"]: + raise ValueError("corrected evidence differs from its original observation/runtime") + + +def coverage_disposition(root, record): + """Return a correction only for the exact original scientific identity. + + Corrected-source execution has a new key and gets no inherited disposition. + Neither a family label nor a task name selects a historical correction. + """ + correction = load_corrections(root).get(record.get("key")) + if correction is not None: + _validate_record(record, correction) + return deepcopy(correction) + return None + + +def annotate_publication(root, publication): + """Attach scope notes; never promote coverage over a selected-cohort grade.""" + corrections = load_corrections(root) + if not corrections: + return publication + projected = deepcopy(publication) + progress = projected.get("family_progress", {}) + progress["evidence_corrections"] = { + "path": CORRECTIONS.as_posix(), "count": len(corrections), + "qualification_input": False, "qualification_reuse": False, + } + for family in (progress.get("families", []) + progress.get("configuration_families", []) + + progress.get("historical_families", [])): + for cohort in family.get("cohorts", []): + for cell in cohort.get("tasks", {}).values(): + record = cell.get("run_attempt") + if record and record.get("key") in corrections: + _validate_record(record, corrections[record["key"]]) + cell["evidence_correction"] = deepcopy(corrections[record["key"]]) + return projected diff --git a/experiments/forge/queue.py b/experiments/forge/queue.py index e4b179d95..1e57752f4 100644 --- a/experiments/forge/queue.py +++ b/experiments/forge/queue.py @@ -749,9 +749,19 @@ def collect(self, *, only_orphans=False): durable = self.report_root / "attempts" / worker["attempt"] atomic_json(durable / "request.json", read_json(directory / "request.json")) atomic_json(durable / "result.json", result) - atomic_json(durable / "evidence.json", {"result_hash": stable_hash(result), "source": request["source"], + certificate = {"result_hash": stable_hash(result), "source": request["source"], "runtime": request.get("runtime"), "local_artifact_root": str(directory), - "portability": "local_artifacts_required" if any(r.get("evidence", {}).get("artifact_root") for r in rows) else "embedded"}) + "portability": "local_artifacts_required" if any(r.get("evidence", {}).get("artifact_root") for r in rows) else "embedded"} + atomic_json(durable / "evidence.json", certificate) + from .observations import coverage_export + # A separate compact export can point to the final result + # hash without a circular self-reference in that result. + try: + exported = coverage_export(read_json(directory / "request.json"), result, certificate) + except Exception as exc: # noqa: BLE001 -- an optional export cannot block certified collection + exported = {"schema": "forge_observed_coverage_v1", "records": [], + "gaps": {task_id: [f"export_unavailable: {type(exc).__name__}: {exc}"]}} + atomic_json(durable / "coverage.json", exported) job.update(status="terminal", result=result, charged_seconds=job.get("charged_seconds", 0) + elapsed, reserved_seconds=0) touched_requests.update(job.get("subscribers", [])) touched_requests.add(owner["request"]) diff --git a/experiments/forge/runtime.py b/experiments/forge/runtime.py index b67b9d74d..01a913c52 100644 --- a/experiments/forge/runtime.py +++ b/experiments/forge/runtime.py @@ -1,7 +1,6 @@ """Task child entrypoint: one dispatch path for CLI run and queue workers.""" from __future__ import annotations -import os from pathlib import Path import sys import time @@ -63,6 +62,15 @@ def execute(path: Path) -> int: result.setdefault("api_changes", request["candidate"].get("api_changes", [])) result.setdefault("claim_contract", request["candidate"].get("claim_contract", {})) result = normalize_adapter_costs(result) + if exit_code == 0: + # Optional provenance must never turn a numerical result into an error. + # Observe this process after execution, rather than echoing task labels. + from .observations import attach_observations, execution_environment + try: + environment = execution_environment(torch, "cpu" if worker["device"] == "cpu" else "cuda:0") + except Exception: # noqa: BLE001 -- a probe failure must only withhold provenance + environment = {} # Fail closed, including any adapter-supplied witness. + result = attach_observations(request, job, result, environment) result.setdefault("cost", {}) elapsed = time.monotonic() - started result["cost"]["runner_seconds"] = elapsed diff --git a/experiments/forge/techniques.py b/experiments/forge/techniques.py index 70e51f16c..d223fa896 100644 --- a/experiments/forge/techniques.py +++ b/experiments/forge/techniques.py @@ -68,6 +68,8 @@ def technique_signature(value): if recipe.effective_critic_formulation == "k3p" and recipe.reg_arm is None else None), } + if recipe.conditional_energy_weight: + mechanisms["conditional_energy_objective"] = True if recipe.optimizer_family in {"dualnorm", "dualnorm_D_only"}: mechanisms["dualnorm_momentum"] = recipe.optimizer_momentum > 0 if recipe.prior_update == "learned" and recipe.prior_l2 > 0: @@ -115,6 +117,12 @@ def recipe_field_active(name, value, *, task=None): recipe = _recipe(value) execution = {} if task is None else task.get("execution", {}) + if name == "joint_reconstruction_weight": + return task is None or task.get("adapter") == "word_joint" + if name in {"reg_real_weight", "reg_fake_weight"}: + return recipe.reg_arm in {"a_r1r2", "b_cap"} and not ( + task is not None and task.get("adapter") == "public_api_model_toy" + and execution.get("host_definition", {}).get("adversarial") is False) from .priors import recipe_owned_prior learned = (recipe.prior_update == "learned" if task is None or recipe_owned_prior(task) else execution.get("prior", {}).get("learnable", True)) diff --git a/experiments/forge/vectorprofiles.py b/experiments/forge/vectorprofiles.py index 46c6b94d3..87e4c62ed 100644 --- a/experiments/forge/vectorprofiles.py +++ b/experiments/forge/vectorprofiles.py @@ -199,7 +199,9 @@ def vector_profile_blockers(task: dict, *, root: Path | str | None = None) -> li for key in ("z_dim", "particles", "batch", "steps"): if type(spec.get(key)) is not int or spec[key] < 1: return [f"{task.get('id', '')}: invalid stretch vector dimension: {key}"] - return [] + return [f"{task.get('id', '')}: no registered public Forge adapter for " + "this stretch host; declare and implement its complete recipe, " + "sampling and checkpoint contracts before training"] try: resolve_vector_spec(task, root=root) except (KeyError, TypeError, ValueError, OSError) as error: diff --git a/experiments/forge/views.py b/experiments/forge/views.py index 9f1e4cbe1..8dc37805d 100644 --- a/experiments/forge/views.py +++ b/experiments/forge/views.py @@ -190,6 +190,10 @@ def _validate_measurement_contract(task): validate_task(task) fixed.update(evaluator="experiments.forge.scaling_adapter:grade", training_feedback=False, qualification_input=False) + elif kind == "zero_tanh_smoke": + # The implemented point-mass adapter draws 4,096 clean live samples. + # This task has final bounds, without a sustained-suffix requirement. + fixed.update(eval_samples=4096, minimum_stable_checks=1) else: return for key, expected in fixed.items(): @@ -628,6 +632,40 @@ def _transfer(task, evidence): metrics=live, evaluator_result=grade) +def _zero_tanh_smoke(task, evidence): + """Grade the declared origin-Dirac endpoint, without adding hold gates.""" + from benchmarks.locked_shared.baseline import score_metrics + from .tanh_point_mass import accepts_origin_smoke + + if not accepts_origin_smoke(task, task["execution"].get("host_definition")): + return _verdict("BLOCKED", "only the declared origin zero_tanh_smoke host is supported") + evaluation = task["evaluation"] + count = evaluation.get("observations", 24) + _positive_int(count, "evaluation observations") + steps = task["execution"]["steps"] + # Match the adapter's deduplicated cadence, including tiny software runs. + expected = sorted({math.ceil(i * steps / count) for i in range(1, count + 1)}) + points = evidence.get("observations", evidence.get("curve")) + try: + _curve(points, evaluation["thresholds"]) + except ValueError as exc: + return _verdict("INVALID" if points else "INCOMPLETE", str(exc)) + if [point["step"] for point in points] != expected: + return _verdict("INCOMPLETE", "all declared zero-tanh observation checkpoints are required") + live = evidence.get("live") + if (not isinstance(live, dict) or live.get("step") != steps + or any(not _finite(live.get(name)) for name, _, _ in evaluation["thresholds"])): + return _verdict("INCOMPLETE", "finite final live metrics at the complete update budget are required") + samples = evaluation.get("eval_samples", 4096) + if any(type(row.get("sample_count")) is not int or row["sample_count"] != samples + for row in [*points, live]): + return _verdict("INCOMPLETE", "every zero-tanh observation requires the declared sample count") + cells = score_metrics(live, evaluation["thresholds"]) + passed = all(cell["status"] == "PASS" for cell in cells) + return _verdict("PASS" if passed else "FAIL", "recomputed the declared final zero-tanh bounds", + metrics=live, evaluator_result={"passed": passed, "metrics": cells}) + + def _native(task, evidence, *, diagnostic=False): from benchmarks.toy100.accuracy_gate import evaluate_suite from .artifacts import verify_artifacts @@ -1003,7 +1041,7 @@ def grade_result(task: dict, result: dict | None, *, diagnostic=False) -> dict: "ring_hold": _ring, "ring_extension": _ring, "paired_adaptation": _adaptation, "clockfree_parity": _clockfree, "image_training_performance": performance_grade, - "zero_tanh_smoke": _zero_tanh, + "zero_tanh_smoke": _zero_tanh_smoke, **{kind: _stretch_thresholds for kind in STRETCH_EVALUATOR_KINDS}} grader = graders.get(task["evaluation"]["kind"]) if grader is None: diff --git a/ops/formulaic_coverage.py b/ops/formulaic_coverage.py index b88e192e5..bae55bb98 100644 --- a/ops/formulaic_coverage.py +++ b/ops/formulaic_coverage.py @@ -1,40 +1,32 @@ -"""Formulaic execution and coverage completion for Forge selected recipes. +"""Retired alternate coverage executor; retained for explicit compatibility errors. -Ensures all 8 selected recipes execute across the 50-task suite with binary -PASS/FAIL outcomes (no BLOCKED, PENDING, or NOT_RUN cells), including: -- 4 DDGAN tasks across all selected recipes (including K3P, KA2, and E22) -- 6 held Tier 3-4 tasks across all selected recipes (`zero_tanh_rail_escape`, - `grid100_mlp16`, `grid100_res16_tanh`, `misgan_block_recovery`, - `misgan_block_neural_imputer`, `ring16_bigan_continuous`) -- All remaining E22 suite tasks under its runnable clean particle + NormalNoiseManipulator - execution contract. +The old runner changed candidate recipes, added host training algorithms, and +harvested results by family/task without exact scientific bindings. New work +must use frozen Forge studies and the public adapters. Historical measurements +remain under their original source and contracts; this module never reruns, +rewrites, or promotes them to repair a publication. """ from __future__ import annotations import argparse -from concurrent.futures import ThreadPoolExecutor from copy import deepcopy import json -import os from pathlib import Path -import subprocess -import sys -import time from typing import Any REPOSITORY_ROOT = Path(__file__).resolve().parents[1] -if str(REPOSITORY_ROOT) not in sys.path: - sys.path.insert(0, str(REPOSITORY_ROOT)) - -from experiments.forge import attempt_coverage -from experiments.forge.contracts import atomic_json, read_json -from experiments.forge.views import ( - grade_result, - load_tasks, - task_evaluation_fingerprint, - task_execution_fingerprint, +RETIREMENT_REASON = ( + "The alternate formulaic coverage executor is retired: it cannot supply " + "formula-faithful evidence. Use python -m experiments.forge plan/run with " + "an explicit frozen study, protocol and budget. Unsupported capabilities " + "remain BLOCKED; preserved historical diagnostic receipts are not new measurements." ) + +class RetiredCoverageExecutionError(RuntimeError): + """A caller attempted to bypass ordinary frozen experiment admission.""" + + DDGAN_TASKS = frozenset( { "model_ddgan_gaussian_chain", @@ -90,1106 +82,49 @@ } -def _log(msg: str, *, json_mode: bool = False) -> None: - stream = sys.stderr if json_mode else sys.stdout - print(f"[formulaic-coverage] {msg}", file=stream, flush=True) - def load_candidate_card(root: Path, candidate_id: str) -> dict[str, Any]: + from experiments.forge.contracts import read_json for subdir in ("configs/forge/ideas", "configs/forge/configurations"): - p = Path(root) / subdir / f"{candidate_id}.json" - if p.is_file(): - return read_json(p) + path = Path(root) / subdir / f"{candidate_id}.json" + if path.is_file(): + return read_json(path) raise FileNotFoundError(f"candidate declaration not found: {candidate_id}") def adapt_candidate_for_task(candidate: dict[str, Any], task: dict[str, Any]) -> dict[str, Any]: - """Adapt candidate declaration for clean task-declared prior and caller-owned host compatibility.""" - cand = deepcopy(candidate) - cid = str(cand.get("id", "")) - tid = str(task.get("id", "")) - overrides = dict(cand.get("recipe_overrides") or {}) - - if cid == "e22" or int(cand.get("schema_version", 3)) < 3: - cand["schema_version"] = 3 - cand["prior_mechanism"] = { - "kind": "particles", - "manipulators": [{"kind": "normal_noise", "sigma": 0.025}], - "standardize": False, - } - cand["claim_contract"] = { - "sampling_law": "task_declared", - "schedule": "schedule_free", - "scoring_weights": "live", - } - overrides["d_guard_min_steps"] = 0 - overrides["d_guard_ratio"] = 0.0 - overrides["output_noise_mode"] = "fixed" - overrides["output_noise_std"] = 0.0 - - if tid in DDGAN_TASKS or tid in STRETCH_FIXTURE_TASKS or "misgan" in tid: - overrides["input_noise_std"] = 0.0 - overrides["output_noise_std"] = 0.0 - overrides["output_noise_mode"] = "fixed" - - cand["recipe_overrides"] = overrides - return cand - - -def _run_ddgan_task( - root: Path, - cand_adapted: dict[str, Any], - task: dict[str, Any], - device: str, - attempt_dir: Path, -) -> dict[str, Any]: - import torch - from experiments.forge import model_toy_adapter - - torch.set_num_threads(1) - torch.use_deterministic_algorithms(True) - torch.backends.cudnn.benchmark = False - torch.backends.cudnn.allow_tf32 = False - torch.backends.cuda.matmul.allow_tf32 = False - - t0 = time.perf_counter() - request = { - "candidate": cand_adapted, - "protocol": {"seed": 0}, - "tasks": {task["id"]: task}, - "source": {"root": str(root)}, - } - receipt = model_toy_adapter.run(request, task, attempt_dir, device) - elapsed = time.perf_counter() - t0 - verdict = grade_result(task, receipt) - status = str(verdict.get("status") or verdict.get("gate_status") or "FAIL") - if status not in {"PASS", "FAIL"}: - status = "FAIL" - reasons = verdict.get("reasons") or [] - reason = "; ".join(reasons) if reasons else str(verdict.get("reason") or f"Executed {task['id']}: {status}.") - return { - "status": status, - "reason": reason, - "metrics": receipt.get("evidence", {}).get("live", receipt.get("metrics", {})), - "evaluator_summary": verdict.get("summary", {}), - "execution_seconds": round(elapsed, 4), - } - - -def _checkpoints_for_steps(steps: int, obs_count: int = 24) -> list[int]: - import math - - return sorted({math.ceil(i * steps / obs_count) for i in range(1, obs_count + 1)}) - - -def _seed_everything(seed: int = 0) -> None: - import random - import numpy as np - import torch - - os.environ.setdefault("CUBLAS_WORKSPACE_CONFIG", ":4096:8") - random.seed(seed) - np.random.seed(seed) - torch.manual_seed(seed) - if torch.cuda.is_available(): - torch.cuda.manual_seed_all(seed) - torch.set_num_threads(1) - torch.use_deterministic_algorithms(True) - torch.backends.cudnn.deterministic = True - torch.backends.cudnn.benchmark = False - torch.backends.cuda.matmul.allow_tf32 = False - torch.backends.cudnn.allow_tf32 = False - - -def _run_zero_tanh_rail_escape( - root: Path, - cand_adapted: dict[str, Any], - task: dict[str, Any], - device: str, -) -> dict[str, Any]: - import torch - from benchmarks.toy_audit.api_vectors import ZeroTanhGenerator, _target, score_case - from experiments.forge.api import task_formulation_context - from lib.toy_models import SimpleMLPDiscriminator - - t0 = time.perf_counter() - seed = 0 - _seed_everything(seed) - dev = torch.device(device) - context = task_formulation_context(cand_adapted, task, {"seed": seed}, device=device, root=root) - g = ZeroTanhGenerator(context.recipe.z_dim, 32, 2).to(dev) - d = SimpleMLPDiscriminator(2, 32, 2, 2).to(dev) - steps = int(task["execution"].get("steps", 2000)) - batch_size = int(task["execution"].get("host_definition", {}).get("batch", 128)) - shift_step = int(task["execution"].get("shift_step", 1001)) - recovery_deadline = int(task["evaluation"].get("recovery_deadline", 400)) - eval_n = int(task["evaluation"].get("eval_samples", 4096)) - eval_seed = int(task["evaluation"].get("seed", 88123)) - obs_count = int(task["evaluation"].get("observations", 24)) - - trainer = context.build_trainer(g, d, max_steps=steps) - case_meta = { - "kind": "zero_tanh_rail_escape", - "shift_step": shift_step, - "initial_target": task["execution"].get("initial_target", [0.90, -0.90]), - "shifted_target": task["execution"].get("shifted_target", [0.0, 0.0]), - "thresholds": deepcopy(task["evaluation"]["thresholds"]), - } - - obs_set = set(_checkpoints_for_steps(steps, obs_count)) | {shift_step - 1, shift_step + recovery_deadline, steps} - data_rng = torch.Generator(device="cpu").manual_seed(seed) - gen_data_rng = torch.Generator(device="cpu").manual_seed(seed + 101) - - observations = [] - for step in range(1, steps + 1): - real = _target(case_meta, batch_size, data_rng, step, device=dev) - real_g = _target(case_meta, batch_size, gen_data_rng, step, device=dev) - trainer.step(real, generator_real=real_g) - if step in obs_set: - with torch.no_grad(): - sample_rng = torch.Generator(device=dev).manual_seed(eval_seed + step) - samples = trainer.sample(eval_n, generator=sample_rng, output_noise=False).detach().cpu() - scored = score_case(case_meta, samples, step) - observations.append( - { - "step": step, - "passed": bool(scored["passed"]), - "metrics": scored["metrics"], - "failed_bounds": scored["failed_bounds"], - } - ) - - elapsed = time.perf_counter() - t0 - pre_shift_obs = [o for o in observations if o["step"] == shift_step - 1] - post_deadline_obs = [o for o in observations if o["step"] >= shift_step + recovery_deadline] - min_stable = int(task["evaluation"].get("minimum_stable_checks", 5)) - tail_obs = observations[-min_stable:] if len(observations) >= min_stable else observations - passed = ( - bool(pre_shift_obs and all(o["passed"] for o in pre_shift_obs)) - and bool(post_deadline_obs and all(o["passed"] for o in post_deadline_obs)) - and bool(tail_obs and all(o["passed"] for o in tail_obs)) - ) - status = "PASS" if passed else "FAIL" - final_obs = observations[-1] - failed_bounds = final_obs.get("failed_bounds") or [] - reason = ( - "All pre-shift and post-deadline rail-escape bounds passed." - if status == "PASS" - else f"Failed rail-escape bounds: {', '.join(failed_bounds) or 'post-shift recovery window not sustained'}." - ) - return { - "status": status, - "reason": reason, - "metrics": final_obs["metrics"], - "evaluator_summary": { - "observations": len(observations), - "terminal_passed": sum(1 for o in tail_obs if o["passed"]), - "failed_bounds": failed_bounds, - }, - "execution_seconds": round(elapsed, 4), - } - - -def _run_grid100_deep_variant( - root: Path, - cand_adapted: dict[str, Any], - task: dict[str, Any], - device: str, -) -> dict[str, Any]: - import torch - from benchmarks.toy100 import problems - from benchmarks.toy100.train import evaluation_steps - from benchmarks.toy_audit.api_vectors import ( - ResidualMLPGenerator, - _apply_scaled_res16_dispersion_step, - score_case, - ) - from experiments.forge.api import task_formulation_context - from lib.toy_models import SimpleMLPDiscriminator, SimpleMLPGenerator - - t0 = time.perf_counter() - seed = 0 - _seed_everything(seed) - dev = torch.device(device) - tid = task["id"] - is_res_tanh = tid == "grid100_res16_tanh" - is_scaled_res_tanh = tid == "grid100_res16_scaled_tanh" - case_meta = { - "kind": tid, - "problem": "grid100", - "moving": False, - "scale": float(task["execution"].get("model", {}).get("tanh_scale", 5.25)), - "max_saturated_fraction": float(task["evaluation"].get("max_saturated_fraction", 0.001)), - } - - task_for_ctx = deepcopy(task) - fourier = int(task["execution"].get("model", {}).get("fourier", 3 if is_scaled_res_tanh else 2)) - task_for_ctx["execution"]["model"] = {"hidden": 128, "layers": 3, "fourier": 2} - context = task_formulation_context(cand_adapted, task_for_ctx, {"seed": seed}, device=device, root=root) - - if is_scaled_res_tanh: - g = ResidualMLPGenerator( - context.recipe.z_dim, 128, 7, 2, scale=5.25, use_norm=True, preserve_latent_norm=True - ).to(dev) - elif is_res_tanh: - g = ResidualMLPGenerator(context.recipe.z_dim, 128, 7, 2, scale=5.25).to(dev) - else: - g = SimpleMLPGenerator(context.recipe.z_dim, 128, 16, 2).to(dev) - d = SimpleMLPDiscriminator(2, 128, 3, fourier).to(dev) - context.initialize(g, component="generator") - context.initialize(d, component="discriminator") - if is_res_tanh: - # Preserve ResidualMLPGenerator's identity skip-connection initialization on block.linear2 - for block in g.blocks: - torch.nn.init.zeros_(block.linear2.weight) - torch.nn.init.zeros_(block.linear2.bias) - elif is_scaled_res_tanh: - g.init_paired_identity() - - steps = int(task["execution"].get("steps", 7000)) - batch_size = int(task["execution"].get("resources", {}).get("batch_size", 2048)) - eval_n = int(task["evaluation"].get("eval_samples", 20000)) - eval_every = int(task["evaluation"].get("eval_interval", 250)) - early_steps = list(task["evaluation"].get("early_eval_steps", [0, 1, 10, 25, 50, 100])) - eval_set = set(evaluation_steps(steps, eval_every, early_steps)) | {steps} - - trainer = context.build_trainer(g, d, initialize=False, max_steps=steps) - data_rng = torch.Generator(device=dev).manual_seed(seed) - - observations = [] - for step in range(1, steps + 1): - real = problems.sample_real("grid100", batch_size, device=dev, generator=data_rng) - trainer.step(real) - if is_scaled_res_tanh: - _apply_scaled_res16_dispersion_step(trainer, real, step, steps) - if step in eval_set and step >= steps - eval_every * 5: - with torch.no_grad(): - sample_rng = torch.Generator(device=dev).manual_seed(713 + step) - samples = trainer.sample(eval_n, generator=sample_rng, output_noise=False).detach().cpu() - scored = score_case(case_meta, samples, step) - observations.append( - { - "step": step, - "passed": bool(scored["passed"]), - "metrics": scored["metrics"], - "failed_bounds": scored["failed_bounds"], - } - ) - - elapsed = time.perf_counter() - t0 - min_stable = int(task["evaluation"].get("minimum_stable_checks", 5)) - tail_obs = observations[-min_stable:] if len(observations) >= min_stable else observations - passed = bool(tail_obs) and all(o["passed"] for o in tail_obs) - status = "PASS" if passed else "FAIL" - final_obs = observations[-1] - failed_bounds = final_obs.get("failed_bounds") or [] - reason = ( - f"Sustained {len(tail_obs)}/{min_stable} terminal checks on {tid}." - if status == "PASS" - else f"Failed {tid} bounds: {', '.join(failed_bounds[:6]) or 'insufficient terminal checks'}." - ) - return { - "status": status, - "reason": reason, - "metrics": final_obs["metrics"], - "evaluator_summary": { - "observations": len(observations), - "terminal_passed": sum(1 for o in tail_obs if o["passed"]), - "failed_bounds": failed_bounds, - }, - "execution_seconds": round(elapsed, 4), - } - - -def _run_misgan_or_bigan_task( - root: Path, - cand_adapted: dict[str, Any], - task: dict[str, Any], - device: str, -) -> dict[str, Any]: - import torch - from benchmarks.toy_audit.api_conditionals import build_case as build_conditional_case - from benchmarks.toy_audit.api_ring16 import build_case as build_ring16_case - from experiments.forge.api import task_formulation_context - - t0 = time.perf_counter() - seed = 0 - _seed_everything(seed) - tid = task["id"] - if tid not in STRETCH_FIXTURE_CASE_IDS: - raise ValueError(f"unsupported fixture task: {tid}") - case_id = STRETCH_FIXTURE_CASE_IDS[tid] - host_def = dict(task["execution"].get("host_definition") or {}) - steps = int(task["execution"].get("steps", host_def.get("steps", 7000 if "misgan" in tid else 4000))) - obs_count = int(task["evaluation"].get("observations", 24)) - min_stable = int(task["evaluation"].get("minimum_stable_checks", 5)) - eval_n = int(task["evaluation"].get("eval_samples", 4096)) - eval_seed = int(task["evaluation"].get("seed", 99123 if "misgan" in tid else 10000)) - - task_for_ctx = deepcopy(task) - task_for_ctx["execution"]["model"] = { - "hidden": int(host_def.get("hidden", 128)), - "layers": int(host_def.get("layers", 3)), - "fourier": int(host_def.get("fourier", 2)), - } - context = task_formulation_context(cand_adapted, task_for_ctx, {"seed": seed}, device=device, root=root) - prior = context.build_prior() - builder = build_ring16_case if case_id in ("api-ring16-bigan-continuous", "api-alice-spiral-bigan") else build_conditional_case - fixture = builder(case_id, device=device, seed=seed, max_steps=steps, recipe_name="bispf") - recipe = context.recipe.replace( - batch_size=int(host_def.get("batch", getattr(fixture, "batch_size", 128))), - num_particles=int(host_def.get("particles", getattr(fixture, "particles", 256))), - z_dim=int(host_def.get("z_dim", getattr(fixture, "z_dim", 8))), - input_noise_std=0.0, - output_noise_std=0.0, - output_noise_mode="fixed", - total_steps=steps if context.recipe.continuous_policy is None else context.recipe.total_steps, - ) - fixture.rebind_trainer(recipe, prior=prior) - - for opt in (getattr(fixture, "opt_g", None), getattr(fixture, "opt_d", None)): - if opt is not None: - for group in opt.param_groups: - if "betas" in group: - group.setdefault("_recipe_initial_betas", tuple(group["betas"])) - - ckpt_list = _checkpoints_for_steps(steps, obs_count) - obs_steps = set(ckpt_list) | {steps} - tail_cutoff = ckpt_list[-min_stable] - observations = [] - for step in range(1, steps + 1): - fixture.step() - if step in obs_steps and step >= tail_cutoff: - with torch.no_grad(): - scored = fixture.observe(n=eval_n, seed=eval_seed + step) - observations.append( - { - "step": step, - "passed": bool(scored["passed"]), - "metrics": { - k: float(v) if isinstance(v, (int, float)) and not isinstance(v, bool) else v - for k, v in scored["metrics"].items() - if isinstance(v, (int, float, bool, str)) - }, - "failed_bounds": scored.get("failed_bounds", []), - } - ) - - elapsed = time.perf_counter() - t0 - tail_obs = observations[-min_stable:] if len(observations) >= min_stable else observations - passed = bool(tail_obs) and all(o["passed"] for o in tail_obs) - status = "PASS" if passed else "FAIL" - final_obs = observations[-1] - failed_bounds = final_obs.get("failed_bounds") or [] - reason = ( - f"Sustained {len(tail_obs)}/{min_stable} terminal checks on {tid}." - if status == "PASS" - else f"Failed {tid} bounds: {', '.join(failed_bounds[:6]) or 'insufficient terminal checks'}." - ) - return { - "status": status, - "reason": reason, - "metrics": final_obs["metrics"], - "evaluator_summary": { - "observations": len(observations), - "terminal_passed": sum(1 for o in tail_obs if o["passed"]), - "failed_bounds": failed_bounds, - }, - "execution_seconds": round(elapsed, 4), - } - - -def _run_standard_task( - root: Path, - cand_adapted: dict[str, Any], - task: dict[str, Any], - device: str, - attempt_dir: Path, -) -> dict[str, Any]: - import torch - from experiments.forge.adapters import run_task - - torch.set_num_threads(1) - torch.use_deterministic_algorithms(True) - torch.backends.cudnn.benchmark = False - torch.backends.cudnn.allow_tf32 = False - torch.backends.cuda.matmul.allow_tf32 = False - - t0 = time.perf_counter() - request = { - "candidate": cand_adapted, - "protocol": {"seed": 0}, - "tasks": {task["id"]: task}, - "source": {"root": str(root)}, - } - job = {"task_id": task["id"], "prerequisites": {}} - receipt = run_task(request, job, attempt_dir, device) - elapsed = time.perf_counter() - t0 - verdict = grade_result(task, receipt) - status = str(verdict.get("status") or verdict.get("gate_status") or "FAIL") - if status not in {"PASS", "FAIL"}: - status = "FAIL" - reasons = verdict.get("reasons") or [] - reason = "; ".join(reasons) if reasons else str(verdict.get("reason") or f"Executed {task['id']}: {status}.") - return { - "status": status, - "reason": reason, - "metrics": receipt.get("metrics", {}), - "evaluator_summary": verdict.get("summary", {}), - "execution_seconds": round(elapsed, 4), - } - - -def execute_single_task( - root: Path, - family: str, - candidate_id: str, - task_name: str, - device: str, - attempt_dir: Path, - *, - parent_status: str | None = None, -) -> dict[str, Any]: - root = Path(root).resolve() - attempt_dir = Path(attempt_dir).resolve() - attempt_dir.mkdir(parents=True, exist_ok=True) - - if task_name in CONTINUATION_PARENTS and parent_status == "FAIL": - parent_task = CONTINUATION_PARENTS[task_name] - payload = { - "family": family, - "candidate_id": candidate_id, - "task": task_name, - "status": "FAIL", - "reason": f"Required checkpoint prerequisite {parent_task} executed and failed (FAIL).", - "metrics": {}, - "evaluator_summary": {"prerequisite_task": parent_task, "prerequisite_status": "FAIL"}, - "execution_seconds": 0.0, - "device": device, - } - atomic_json(attempt_dir / "result.json", payload) - return payload - - cand = load_candidate_card(root, candidate_id) - task = read_json(root / "configs/forge/tasks" / f"{task_name}.json") - cand_adapted = adapt_candidate_for_task(cand, task) - - if task_name in DDGAN_TASKS: - res = _run_ddgan_task(root, cand_adapted, task, device, attempt_dir) - elif task_name == "zero_tanh_rail_escape": - res = _run_zero_tanh_rail_escape(root, cand_adapted, task, device) - elif task_name in {"grid100_mlp16", "grid100_res16_tanh", "grid100_res16_scaled_tanh"}: - res = _run_grid100_deep_variant(root, cand_adapted, task, device) - elif task_name in STRETCH_FIXTURE_TASKS: - res = _run_misgan_or_bigan_task(root, cand_adapted, task, device) - else: - res = _run_standard_task(root, cand_adapted, task, device, attempt_dir) - - payload = { - "family": family, - "candidate_id": candidate_id, - "task": task_name, - "status": res["status"], - "reason": res["reason"], - "metrics": res.get("metrics", {}), - "evaluator_summary": res.get("evaluator_summary", {}), - "execution_seconds": res.get("execution_seconds", 0.0), - "device": device, - } - atomic_json(attempt_dir / "result.json", payload) - return payload - - -def harvest_existing_verdicts(root: Path) -> dict[tuple[str, str], dict[str, Any]]: - """Harvest already-executed PASS/FAIL verdicts from committed Forge records.""" - root = Path(root).resolve() - harvested: dict[tuple[str, str], dict[str, Any]] = {} - - pub_path = root / "reports/forge/technique-inventory.json" - if not pub_path.is_file(): - return harvested - pub = read_json(pub_path) - family_by_cid = {} - for family, selection, _ in attempt_coverage.selected_tasks(pub): - family_by_cid[selection["candidate_id"]] = family - - # 1. Existing attempt-coverage.json records with PASS/FAIL (selected or scoped for that family) - cov_path = root / "reports/forge/attempt-coverage.json" - if cov_path.is_file(): - cov = read_json(cov_path) - for rec in cov.get("records", []): - st = rec.get("status") - if st not in {"PASS", "FAIL"}: - continue - fam = rec.get("family") or rec.get("owning_family") - tid = rec.get("parent_task") or rec.get("task") - if not fam or not tid: - continue - key = (str(fam), str(tid)) - # Prefer non-scoped selected records over scoped records - is_scoped = any(rec.get(k) for k in ("research_scope", "repair_scope", "policy_scope", "cohort_scope")) - if key not in harvested or not is_scoped: - harvested[key] = { - "status": st, - "reason": rec.get("reason") or f"Recorded gate {st}.", - "origin": rec.get("origin") or "executed", - "evidence": rec.get("evidence") or "reports/forge/attempt-coverage.json", - } - - # 2. Concluded current-source readout-*.json records - records_dir = root / "reports/forge/records" - if records_dir.is_dir(): - for rec_path in sorted(records_dir.glob("readout-*.json")): - try: - doc = read_json(rec_path) - except (OSError, ValueError): - continue - if doc.get("lifecycle") != "concluded" or doc.get("evidence_scope") != "current": - continue - cid = doc.get("candidate_id") - fam = family_by_cid.get(cid) - if not fam: - continue - rel = rec_path.relative_to(root).as_posix() - for trow in doc.get("task_results", []): - tid = str(trow.get("task_id", "")) - st = trow.get("gate_status") or trow.get("status") - if tid and st in {"PASS", "FAIL"}: - harvested[(fam, tid)] = { - "status": st, - "reason": trow.get("reason") or f"Recorded current-source gate {st} in {rec_path.name}.", - "origin": "current_source_readout", - "evidence": rel, - } - - # 3. Atlas / E22 policy-cloud executed records (preferring clean or shared measurement_law) - pc_path = root / "reports/forge/atlas-e22-policy-cloud-20261015/records.json" - if pc_path.is_file(): - pc_doc = read_json(pc_path) - for rec in pc_doc.get("records", []): - fam = str(rec.get("owning_family") or "") - tid = str(rec.get("parent_task") or rec.get("task") or "") - st = rec.get("status") - law = rec.get("measurement_law") - if fam and tid and st in {"PASS", "FAIL"}: - key = (fam, tid) - if key not in harvested or law in {"clean", "shared"}: - harvested[key] = { - "status": st, - "reason": rec.get("reason") or f"Executed {law} measurement: {st}.", - "origin": "policy_cloud_execution", - "evidence": "reports/forge/atlas-e22-policy-cloud-20261015/records.json", - } - - # 4. actual-missing-diagnostics-20261014/results.json - diag_path = root / "reports/forge/actual-missing-diagnostics-20261014/results.json" - if diag_path.is_file(): - diag_doc = read_json(diag_path) - for rec in diag_doc.get("records", []): - fam = str(rec.get("family") or "") - tid = str(rec.get("task") or "") - st = rec.get("status") - if fam and tid and st in {"PASS", "FAIL"} and (fam, tid) not in harvested: - harvested[(fam, tid)] = { - "status": st, - "reason": rec.get("reason") or f"Executed diagnostic measurement: {st}.", - "origin": "diagnostic_execution", - "evidence": "reports/forge/actual-missing-diagnostics-20261014/results.json", - } - - # 5. prior-ablation-2026-10-25/receipts.json (arm A1 = bispf-optimized-quintic-v1) - pa_path = root / "reports/prior-ablation-2026-10-25/receipts.json" - if pa_path.is_file(): - pa_doc = read_json(pa_path) - for arm in pa_doc.get("arms", {}).values(): - cid = arm.get("candidate") - fam = family_by_cid.get(cid) - if not fam: - continue - for tid, cell in arm.get("cells", {}).items(): - st = cell.get("status") - if st in {"PASS", "FAIL"} and (fam, tid) not in harvested: - reasons = cell.get("reasons") or [] - harvested[(fam, tid)] = { - "status": st, - "reason": "; ".join(reasons) if reasons else f"Executed prior-ablation cell: {st}.", - "origin": "prior_ablation_execution", - "evidence": "reports/prior-ablation-2026-10-25/receipts.json", - } - - return harvested - - -def ensure_formulaic_attempt_coverage( - root: Path, - attempt_state_root: Path, - gpus: list[str], - *, - json_mode: bool = False, - tasks: str | list[str] | set[str] | None = None, - force: bool = False, -) -> dict[str, Any]: - """Ensure all selected-family × suite-task cells in attempt-coverage.json have executed PASS/FAIL outcomes.""" - root = Path(root).resolve() - attempt_state_root = Path(attempt_state_root).resolve() - attempt_state_root.mkdir(parents=True, exist_ok=True) - - task_filter: set[str] | None = None - if tasks is not None: - if isinstance(tasks, str): - toks = [t.strip() for t in tasks.split(",") if t.strip()] - if len(toks) == 1 and toks[0].lower() == "stretch": - task_filter = set(STRETCH_TASKS) - elif len(toks) == 1 and toks[0].lower() == "all": - task_filter = None - else: - task_filter = set(toks) - else: - task_filter = set(tasks) - - pub_path = root / "reports/forge/technique-inventory.json" - cov_path = root / "reports/forge/attempt-coverage.json" - if not pub_path.is_file() or not cov_path.is_file(): - return {"updated": 0} - - pub = read_json(pub_path) - cov = read_json(cov_path) - state_path = attempt_state_root / "state.json" - state = read_json(state_path) if state_path.is_file() else {"schema_version": 1, "jobs": {}} - jobs: dict[str, dict[str, Any]] = {} - for key, prev_job in state.get("jobs", {}).items(): - job_copy = deepcopy(prev_job) - if job_copy.get("origin") == "new_attempt" and "original_attempt" in job_copy: - job_copy["evidence"] = job_copy.pop("original_attempt") - jobs[key] = job_copy - for rec in cov.get("records", []): - job_copy = deepcopy(rec) - if job_copy.get("origin") == "new_attempt" and "original_attempt" in job_copy: - job_copy["evidence"] = job_copy.pop("original_attempt") - jobs[rec["key"]] = job_copy - - all_tasks = load_tasks(root) - live_views = [read_json(p) for p in sorted((root / "configs/forge/views").glob("*.json"))] - pub_for_selection = deepcopy(pub) - if isinstance(pub_for_selection.get("family_progress"), dict): - pub_for_selection["family_progress"]["views"] = live_views - selected = attempt_coverage.selected_tasks(pub_for_selection) - harvested = harvest_existing_verdicts(root) - - # Ensure every (family, task) in selected_tasks has a job entry in `jobs` - existing_unscoped_by_pair: dict[tuple[str, str, str, str, str], dict[str, Any]] = {} - for rec in cov.get("records", []): - if any(rec.get(k) for k in ("research_scope", "policy_scope", "repair_scope", "cohort_scope")): - continue - existing_unscoped_by_pair[ - ( - str(rec.get("family") or ""), - str(rec.get("candidate_id") or ""), - str(rec.get("candidate_revision") or ""), - str(rec.get("source_digest") or ""), - str(rec.get("task") or ""), - ) - ] = rec - - selected_keys_by_pair: dict[tuple[str, str], str] = {} - standalone_items: list[dict[str, Any]] = [] - for family, selection, family_tasks in selected: - cid = selection["candidate_id"] - crev = selection["candidate_revision"] - sdig = selection["bindings"]["source_digest"] - for task_name in family_tasks: - if task_name not in all_tasks or task_name.startswith("precision_gaussian_"): - continue - card = all_tasks[task_name] - existing_rec = existing_unscoped_by_pair.get((family, cid, crev, sdig, task_name)) - if ( - existing_rec is not None - and existing_rec.get("attempted") - and existing_rec.get("status") in {"PASS", "FAIL"} - ): - exec_sha = existing_rec["execution_sha256"] - eval_sha = existing_rec["evaluation_sha256"] - key = existing_rec["key"] - else: - binding = selection["bindings"].get("task_contracts", {}).get(task_name) - pin = pub.get("task_contracts", {}).get(binding) if binding else None - exec_sha = pin["execution_sha256"] if pin else task_execution_fingerprint(card) - eval_sha = pin["evaluation_sha256"] if pin else task_evaluation_fingerprint(card) - key = attempt_coverage.identity(sdig, crev, task_name, exec_sha, eval_sha) - selected_keys_by_pair[(family, task_name)] = key - if key not in jobs: - jobs[key] = { - "key": key, - "family": family, - "candidate_id": cid, - "candidate_revision": crev, - "source_digest": sdig, - "task": task_name, - "execution_sha256": exec_sha, - "evaluation_sha256": eval_sha, - "timeout_seconds": card["resources"]["timeout_seconds"], - "resources": card["resources"], - "dependencies": card.get("dependencies", []), - "status": "PENDING", - "attempted": False, - } - if task_filter is not None: - for extra_task in sorted(task_filter): - if (family, extra_task) in selected_keys_by_pair or extra_task not in all_tasks: - continue - extra_card = all_tasks[extra_task] - extra_key = attempt_coverage.identity( - sdig, - crev, - extra_task, - task_execution_fingerprint(extra_card), - task_evaluation_fingerprint(extra_card), - ) - standalone_items.append( - { - "key": extra_key, - "family": family, - "candidate_id": cid, - "task": extra_task, - } - ) - - for existing_key in list(jobs.keys()): - j_item = jobs[existing_key] - if any(j_item.get(k) for k in ("research_scope", "policy_scope", "repair_scope", "cohort_scope")): - continue - pair = (str(j_item.get("family") or ""), str(j_item.get("task") or "")) - if pair in selected_keys_by_pair and existing_key != selected_keys_by_pair[pair]: - jobs.pop(existing_key, None) - - # First pass: apply cached result.json files from attempt_state_root / "attempts" / key / "result.json" - # or harvested verdicts from committed records - to_execute: list[dict[str, Any]] = [] - for (family, task_name), key in sorted(selected_keys_by_pair.items()): - job = jobs[key] - res_file = attempt_state_root / "attempts" / key / "result.json" - force_task = force - if task_filter is not None and task_name not in task_filter: - continue - if force_task: - res_file.unlink(missing_ok=True) - to_execute.append( - { - "key": key, - "family": family, - "candidate_id": job["candidate_id"], - "task": task_name, - } - ) - continue - if res_file.is_file(): - try: - cached_res = read_json(res_file) - if cached_res.get("status") in {"PASS", "FAIL"}: - ev_path = ( - str(res_file.relative_to(root)) - if res_file.is_relative_to(root) - else str(res_file) - ) - job.update( - status=cached_res["status"], - attempted=True, - origin="new_attempt", - diagnostic=True, - reason=cached_res.get("reason", f"Executed {task_name}: {cached_res['status']}."), - evidence=ev_path, - ) - if cached_res.get("execution_seconds") is not None: - job["seconds"] = cached_res["execution_seconds"] - job.pop("original_attempt", None) - job.pop("block_kind", None) - harvested[(family, task_name)] = { - "status": cached_res["status"], - "reason": job["reason"], - "origin": "executed", - "evidence": "reports/forge/attempt-coverage.json", - } - continue - except (OSError, ValueError): - pass - if job.get("attempted") and job.get("status") in {"PASS", "FAIL"}: - continue - if (family, task_name) in harvested: - h = harvested[(family, task_name)] - origin_val = "executed" if h["origin"] == "new_attempt" else h["origin"] - job.update( - status=h["status"], - attempted=True, - origin=origin_val, - diagnostic=True, - reason=h["reason"], - evidence=h["evidence"], - ) - job.pop("original_attempt", None) - job.pop("block_kind", None) - continue - to_execute.append( - { - "key": key, - "family": family, - "candidate_id": job["candidate_id"], - "task": task_name, - } - ) - - for s_item in standalone_items: - res_file = attempt_state_root / "attempts" / s_item["key"] / "result.json" - if force: - res_file.unlink(missing_ok=True) - elif res_file.is_file(): - try: - if read_json(res_file).get("status") in {"PASS", "FAIL"}: - continue - except (OSError, ValueError): - pass - to_execute.append(s_item) - - # Resolve continuation tasks whose parent is already known to be FAIL, and order parents before children - parent_tasks = [item for item in to_execute if item["task"] not in CONTINUATION_PARENTS] - child_tasks = [item for item in to_execute if item["task"] in CONTINUATION_PARENTS] - - if parent_tasks: - _run_parallel_batches(root, attempt_state_root, parent_tasks, gpus, json_mode=json_mode, force=force) - for item in parent_tasks: - key = item["key"] - res_file = attempt_state_root / "attempts" / key / "result.json" - if not res_file.is_file(): - raise RuntimeError(f"formulaic execution did not produce {res_file} for {item}") - res = read_json(res_file) - ev_path = ( - str(res_file.relative_to(root)) - if res_file.is_relative_to(root) - else str(res_file) - ) - if key in jobs: - jobs[key].update( - status=res["status"], - attempted=True, - origin="new_attempt", - diagnostic=True, - reason=res.get("reason", f"Executed {item['task']}: {res['status']}."), - evidence=ev_path, - ) - if res.get("execution_seconds") is not None: - jobs[key]["seconds"] = res["execution_seconds"] - jobs[key].pop("original_attempt", None) - jobs[key].pop("block_kind", None) - harvested[(item["family"], item["task"])] = { - "status": res["status"], - "reason": jobs[key]["reason"], - } - - for item in child_tasks: - fam = item["family"] - tname = item["task"] - key = item["key"] - parent_name = CONTINUATION_PARENTS[tname] - parent_key = selected_keys_by_pair.get((fam, parent_name)) - parent_st = ( - jobs.get(parent_key, {}).get("status") - if parent_key - else harvested.get((fam, parent_name), {}).get("status") - ) - attempt_dir = attempt_state_root / "attempts" / key - res = execute_single_task( - root, - fam, - item["candidate_id"], - tname, - f"cuda:{gpus[0] if gpus else '0'}", - attempt_dir, - parent_status=parent_st, - ) - res_file = attempt_dir / "result.json" - ev_path = ( - str(res_file.relative_to(root)) - if res_file.is_relative_to(root) - else str(res_file) - ) - jobs[key].update( - status=res["status"], - attempted=True, - origin="new_attempt", - diagnostic=True, - reason=res["reason"], - evidence=ev_path, - ) - if res.get("execution_seconds") is not None: - jobs[key]["seconds"] = res["execution_seconds"] - jobs[key].pop("original_attempt", None) - jobs[key].pop("block_kind", None) - - sorted_jobs = { - k: v - for k, v in sorted(jobs.items(), key=lambda kv: (str(kv[1].get("family", "")), str(kv[1].get("task", "")))) - } - state["jobs"] = sorted_jobs - state["maximum_tests"] = cov.get("maximum_tests", 4) - state["maximum_per_gpu"] = cov.get("maximum_per_gpu", 2) - state["include_research"] = True - atomic_json(state_path, state) - published = attempt_coverage.publish(root, state) - return published - - -def _run_parallel_batches( - root: Path, - attempt_state_root: Path, - items: list[dict[str, Any]], - gpus: list[str], - *, - json_mode: bool = False, - force: bool = False, -) -> None: - gpu_list = [str(g).strip() for g in gpus if str(g).strip()] or ["0"] - # Sort fast tasks first so progress is immediately visible - def _task_weight(item: dict[str, Any]) -> int: - t = item["task"] - if t in { - "grid100_mlp16", - "grid100_res16_tanh", - "grid100_res16_scaled_tanh", - "misgan_block_neural_imputer", - "misgan_block_recovery", - "misgan_mcar_p50_recovery", - "misgan_mcar_p80_anchored", - "pacgan8_grid100", - "alice_spiral_bigan", - "cyclegan_unpaired_constellation", - }: - return 3 - if t in { - "ring16_bigan_continuous", - "infogan_anisotropic_modes", - "pacgan_unequal_mass", - "cgan_overlapping_classes", - "cramer_energy_overlap", - }: - return 2 - return 1 - - ordered = sorted(items, key=lambda x: (_task_weight(x), x["family"], x["task"])) - buckets: dict[str, list[dict[str, Any]]] = {g: [] for g in gpu_list} - for idx, item in enumerate(ordered): - g = gpu_list[idx % len(gpu_list)] - buckets[g].append(item) + """Legacy accessor: return an independent, scientifically unchanged card. - batch_dir = attempt_state_root / "formulaic-batches" - batch_dir.mkdir(parents=True, exist_ok=True) - log_path = attempt_state_root / "formulaic-events.jsonl" - _log( - f"Executing {len(ordered)} formulaic suite tasks across GPUs {','.join(gpu_list)}. " - f"Tail logs: tail -f {log_path}", - json_mode=json_mode, - ) + Resource and architecture binding belongs to Forge's declared task resolver; + this function must never alter priors, policies, schedules, guards or noise. + """ + return deepcopy(candidate) - def _run_gpu_bucket(gpu_id: str, bucket: list[dict[str, Any]]) -> None: - if not bucket: - return - spec_file = batch_dir / f"batch-gpu{gpu_id}.json" - atomic_json( - spec_file, - { - "root": str(root), - "attempt_state_root": str(attempt_state_root), - "gpu": gpu_id, - "log_path": str(log_path), - "items": bucket, - "force": force, - }, - ) - env = dict(os.environ) - env["CUDA_VISIBLE_DEVICES"] = gpu_id - env["PYTHONPATH"] = str(root) - subprocess.run( - [sys.executable, str(Path(__file__).resolve()), "--run-batch", str(spec_file)], - check=True, - cwd=root, - env=env, - ) - with ThreadPoolExecutor(max_workers=len(gpu_list)) as pool: - futures = [pool.submit(_run_gpu_bucket, g, buckets[g]) for g in gpu_list if buckets[g]] - for fut in futures: - fut.result() +def ensure_formulaic_attempt_coverage(root: Path, attempt_state_root: Path, + gpus: list[str], *, json_mode: bool = False, + tasks=None, force: bool = False) -> dict[str, Any]: + """Refuse the unregistered executor before creating directories or launching work.""" + raise RetiredCoverageExecutionError(RETIREMENT_REASON) -def _run_batch_cli(spec_path: Path) -> int: - spec = read_json(spec_path) - root = Path(spec["root"]).resolve() - attempt_state_root = Path(spec["attempt_state_root"]).resolve() - gpu_id = str(spec["gpu"]) - log_path = Path(spec["log_path"]) - items = spec["items"] - force = bool(spec.get("force", False)) - total = len(items) - for idx, item in enumerate(items, 1): - key = item["key"] - fam = item["family"] - cid = item["candidate_id"] - tname = item["task"] - attempt_dir = attempt_state_root / "attempts" / key - res_file = attempt_dir / "result.json" - if not force and res_file.is_file(): - try: - existing = read_json(res_file) - if existing.get("status") in {"PASS", "FAIL"}: - continue - except (OSError, ValueError): - pass - _log(f"[GPU {gpu_id}] ({idx}/{total}) Starting {fam}/{cid} on {tname} ...") - res = execute_single_task(root, fam, cid, tname, "cuda:0", attempt_dir) - event = { - "gpu": gpu_id, - "index": idx, - "total": total, - "family": fam, - "candidate_id": cid, - "task": tname, - "status": res["status"], - "execution_seconds": res["execution_seconds"], - "reason": res["reason"], - } - with log_path.open("a", encoding="utf-8") as f: - f.write(json.dumps(event, sort_keys=True) + "\n") - _log( - f"[GPU {gpu_id}] ({idx}/{total}) Finished {fam}/{cid} on {tname}: " - f"{res['status']} ({res['execution_seconds']:.1f}s)" - ) - return 0 +def execute_single_task(*args, **kwargs): + """Old direct callers must also pass through declared Forge admission.""" + raise RetiredCoverageExecutionError(RETIREMENT_REASON) -def main(argv: list[str] | None = None) -> int: +def main(argv=None) -> int: parser = argparse.ArgumentParser(description=__doc__) - parser.add_argument("--run-batch", type=Path, help="Internal batch spec JSON") parser.add_argument("--root", type=Path, default=REPOSITORY_ROOT) - parser.add_argument("--attempt-state-root", type=Path, default=None) + parser.add_argument("--attempt-state-root", type=Path) parser.add_argument("--gpus", default="0,1") - parser.add_argument( - "--tasks", - type=str, - default="stretch", - help="Optional comma-separated list of tasks, 'stretch' (default), or 'all'", - ) - parser.add_argument( - "--force", - action="store_true", - help="Force re-execution of tasks, ignoring cached results", - ) - args = parser.parse_args(argv) - if args.run_batch is not None: - return _run_batch_cli(args.run_batch) - state_root = args.attempt_state_root or (args.root / "runs/forge/attempt-coverage-refresh") - gpus = [g.strip() for g in args.gpus.split(",") if g.strip()] - ensure_formulaic_attempt_coverage( - args.root, state_root, gpus, tasks=args.tasks, force=args.force - ) - return 0 + parser.add_argument("--tasks", default="stretch") + parser.add_argument("--force", action="store_true") + parser.add_argument("--run-batch", type=Path) + parser.parse_args(argv) + print(json.dumps({"status": "BLOCKED", "execution_authorized": False, + "qualification_input": False, "reason": RETIREMENT_REASON}), flush=True) + return 2 if __name__ == "__main__": diff --git a/ops/refresh_forge_readouts.py b/ops/refresh_forge_readouts.py index 76a745008..ed99b69d0 100644 --- a/ops/refresh_forge_readouts.py +++ b/ops/refresh_forge_readouts.py @@ -501,7 +501,8 @@ def check_scaling_performance(root: Path) -> dict[str, Any]: } -def check_attempt_coverage(root: Path) -> dict[str, Any]: +def check_retained_diagnostic_integrity(root: Path) -> dict[str, Any]: + """Check retained observation bookkeeping without asserting formula faithfulness.""" root = Path(root).resolve() pub_path = root / "reports/forge/technique-inventory.json" cov_path = root / "reports/forge/attempt-coverage.json" @@ -509,6 +510,10 @@ def check_attempt_coverage(root: Path) -> dict[str, Any]: return {"current": False, "reason": "missing_report"} publication = read_json(pub_path) coverage = read_json(cov_path) + recorded_hash = publication.get("family_progress", {}).get("input_hashes", {}).get( + "reports/forge/attempt-coverage.json") + if recorded_hash is not None and file_hash(cov_path) != recorded_hash: + return {"current": False, "scope": "retained_diagnostic_integrity", "reason": "coverage_digest_changed"} summary = coverage.get("summary", {}) pending = int(summary.get("pending", 0)) running = int(summary.get("running", 0)) @@ -535,7 +540,7 @@ def check_attempt_coverage(root: Path) -> dict[str, Any]: recorded_names = sorted({*json.loads(text)["tests"], "ring_hold"}) unmeasured_current_tasks = sorted(set(full_suite_names or []) - set(recorded_names)) full_suite_names = recorded_names - valid_statuses = {"PASS", "FAIL"} if full_suite_names is not None else attempt_coverage.DONE + valid_statuses = attempt_coverage.DONE selected = attempt_coverage.selected_tasks(publication) expected_selected: dict[str, tuple[str, str, str, list[str]]] = {} @@ -598,6 +603,9 @@ def check_attempt_coverage(root: Path) -> dict[str, Any]: current = pending == 0 and running == 0 and not superseded_records and not missing_by_family return { "current": current, + "scope": "retained_diagnostic_integrity", + "qualification_input": False, + "qualification_reuse": False, "pending": pending, "running": running, "superseded_record_count": len(superseded_records), @@ -606,6 +614,237 @@ def check_attempt_coverage(root: Path) -> dict[str, Any]: } +def _coverage_producer_errors(root: Path, record: dict, request: dict, task: dict, job: dict) -> list[str]: + """Verify the witness against its durable producer, never a display label. + + Producer receipts retain their original bytes. Reading and independently + grading current-source raw evidence does not rewrite a historical result. + Task graders own full-budget/cadence/stopping requirements; a generic step + comparison would incorrectly accept partial traces or reject valid stops. + """ + from experiments.forge.views import grade_result + + producer = record.get("producer", {}) + if not isinstance(producer, dict): + return ["missing_or_invalid_producer_receipt"] + try: + attempt_id = identifier(producer.get("attempt_id"), "producer attempt") + directory = root / "reports/forge/attempts" / attempt_id + resolved = read_json(directory / "request.json") + result = read_json(directory / "result.json") + certificate = read_json(directory / "evidence.json") + except (OSError, ValueError, TypeError): + return ["missing_or_invalid_producer_receipt"] + if not all(isinstance(value, dict) for value in (resolved, result, certificate)): + return ["missing_or_invalid_producer_receipt"] + frozen = resolved.get("request", resolved) + digest = stable_hash(result) + if (producer.get("result_hash") != digest or certificate.get("result_hash") != digest + or certificate.get("source") != frozen.get("source") + or certificate.get("runtime") != frozen.get("runtime") + or result.get("attempt_id") != attempt_id + or result.get("candidate_revision") != request["candidate_revision"] + or result.get("retry_of") != resolved.get("retry_of")): + return ["invalid_producer_certificate"] + if (any(frozen.get(key) != request.get(key) for key in + ("candidate_revision", "runtime", "protocol")) + or frozen.get("source", {}).get("digest") != request["source"]["digest"] + or frozen.get("candidate", {}).get("id") != request["candidate"]["id"]): + return ["stale_producer_contract"] + name = task["id"] + frozen_task = frozen.get("tasks", {}).get(name) + if (not frozen_task or task_execution_fingerprint(frozen_task) != task_execution_fingerprint(task) + or task_evaluation_fingerprint(frozen_task) != task_evaluation_fingerprint(task)): + return ["stale_producer_task"] + producer_jobs = [item for item in frozen.get("jobs", []) + if name in item.get("task_ids", [item.get("task_id")])] + if (len(producer_jobs) != 1 or not job.get("science") + or job.get("compatibility_key") != stable_hash(job["science"]) + or producer_jobs[0].get("science") != job["science"] + or producer_jobs[0].get("compatibility_key") != job["compatibility_key"]): + return ["producer_job_mismatch"] + rows = [row for row in result.get("task_results", []) if row.get("task_id") == name] + if (len(rows) != 1 or rows[0].get("compatibility_key") != job["compatibility_key"] + or rows[0].get("observed_contract") != record["observed_contract"] + or rows[0].get("gate_status") != record["status"] + or rows[0].get("raw_status") != "completed"): + return ["producer_observation_mismatch"] + raw = result.get("raw", {}) + raw_result = raw.get("result", {}) + if raw.get("attempt_status") != "completed" or not isinstance(raw_result, dict) or not raw_result: + return ["missing_completed_producer_evidence"] + member_raw = raw_result.get("task_results", {}).get(name, raw_result) + applied = member_raw.get("applied", member_raw) + recipe = applied.get("recipe_serialized", applied.get("recipe")) + if (not recipe or stable_hash(recipe) != stable_hash(record["observed_contract"]["resolved_recipe"]) + or applied.get("initializer") != record["observed_contract"]["initializer"] + or applied.get("rng", {}).get("seed") != request["protocol"]["seed"]): + return ["producer_applied_contract_mismatch_or_missing"] + if frozen.get("requires_independent_grading"): + grading = raw.get("grading", {}) + if (grading.get("raw_hash") != stable_hash(raw_result) + or grading.get("source_digest") != request["source"]["digest"]): + return ["invalid_producer_grading_certificate"] + grade = grading.get("grades", {}).get(name, {}) + else: + continuation = member_raw.get("evidence", {}).get("continuity", {}).get("diagnostic_continuation") is True + grade = grade_result(task, member_raw, diagnostic=continuation) + if not isinstance(grade, dict) or grade.get("gate_status", grade.get("status")) != record["status"]: + return ["producer_grade_mismatch_or_incomplete"] + return [] + + +def _coverage_observation_errors(root: Path, record: dict, request: dict, task: dict, job: dict) -> list[str]: + """Compare observed execution witnesses to the current frozen contract. + + Compact historical rows lacking a witness stay useful diagnostics. Expected + declarations cannot be copied into a row to reconstruct missing observations. + """ + from experiments.forge.api import task_formulation_context + from experiments.forge.initialization import task_initializer + from experiments.forge.publication_integrity import coverage_disposition, IDENTITY_FIELDS + from experiments.forge.sampling import validate_declaration + + errors = [] + try: + if coverage_disposition(root, record): + errors.append("corrected_archived_diagnostic") + except ValueError: + errors.append("altered_corrected_observation") + if record.get("key") != stable_hash([record.get(field) for field in IDENTITY_FIELDS]): + errors.append("invalid_scientific_key") + for field, expected in ( + ("candidate_id", request["candidate"]["id"]), + ("candidate_revision", request["candidate_revision"]), + ("source_digest", request["source"]["digest"]), + ("execution_sha256", task_execution_fingerprint(task)), + ("evaluation_sha256", task_evaluation_fingerprint(task)), + ): + if record.get(field) != expected: + errors.append(field + "_mismatch") + if not record.get("attempted") or record.get("status") not in {"PASS", "FAIL"}: + errors.append("no_completed_numerical_measurement") + witness = record.get("observed_contract") + if not isinstance(witness, dict) or witness.get("schema_version") != 1: + return errors + ["missing_observed_contract"] + if not job: + return errors + ["missing_current_job_binding"] + science = job.get("science", {}) + protocol = request.get("protocol") + if (not protocol or type(protocol.get("seed")) is not int + or witness.get("protocol") != protocol + or science.get("protocol") != protocol or science.get("seed") != protocol["seed"]): + errors.append("protocol_seed_mismatch_or_missing") + try: + initializer = task_initializer(task, request["candidate"]) + except (ValueError, KeyError, TypeError): + errors.append("unresolved_declared_initializer") + else: + if (witness.get("initializer") != initializer + or science.get("task_initializers", {}).get(task["id"]) != initializer): + errors.append("initializer_mismatch_or_missing") + for field in ("execution", "evaluation"): + if not task.get(field) or witness.get(field) != task[field]: + errors.append(field + "_contract_mismatch_or_missing") + runtime = science.get("runtime", request.get("runtime")) + compute = science.get("compute") + if not runtime or witness.get("runtime") != runtime or record.get("runtime") != runtime: + errors.append("runtime_mismatch_or_missing") + if not compute or witness.get("compute") != compute: + errors.append("compute_mismatch_or_missing") + try: + expected_sampling = validate_declaration(task, required=True) + except (ValueError, KeyError, TypeError): + return errors + ["unresolved_declared_sampling"] + expected_sampling["scoring_weights"] = task.get("evaluation", {}).get("scoring_weights", "live") + if witness.get("sampling") != expected_sampling: + errors.append("sampling_mismatch_or_missing") + if not isinstance(witness.get("resolved_recipe"), dict) or not witness["resolved_recipe"]: + errors.append("missing_observed_recipe") + elif not errors: + # Resolve only for an otherwise compatible observation. This constructs + # no networks, optimizers or training run, and never repairs a recipe. + try: + context = task_formulation_context(request["candidate"], task, request["protocol"], + device="cpu", root=root) + if stable_hash(witness["resolved_recipe"]) != stable_hash(context.recipe.to_dict()): + errors.append("resolved_recipe_mismatch") + except (ValueError, KeyError, TypeError, RuntimeError) as exc: + errors.append("unresolved_recipe:" + type(exc).__name__) + if not errors: + errors.extend(_coverage_producer_errors(root, record, request, task, job)) + return errors + + +def check_attempt_coverage(root: Path) -> dict[str, Any]: + """Check faithful current-source measurements, separately from archive integrity.""" + root = Path(root).resolve() + path = root / "reports/forge/attempt-coverage.json" + if not path.is_file(): + return {"current": False, "scope": "current_source_measurements", "reason": "missing_report"} + coverage = read_json(path) + names_path = root / FIXED_TEST_LIST + names = set(read_json(names_path)["tests"]) | {"ring_hold"} if names_path.is_file() else set() + records = coverage.get("records", []) + missing_by_family, invalid_counts, examples, binding_errors = {}, Counter(), [], [] + accepted_count = 0 + optional_precision_tasks = set() + with planning.resolution_cache(root): + for selection in current_family_candidates(root): + family, cid = selection["family"], selection["candidate_id"] + try: + from reports.forge.regenerate_technique_inventory import _resolve_idea_for_readout_check + request = _resolve_idea_for_readout_check( + root, cid, view_id="discriminator_stability", through_tier=_discriminator_stability_max_tier(root), + cuda_model=DEFAULT_CUDA_MODEL, planning_mod=planning) + except (ValueError, KeyError, TypeError, RuntimeError) as exc: + binding_errors.append({"family": family, "candidate_id": cid, "error": str(exc)}) + missing_by_family[family] = {"candidate_id": cid, "missing_tasks": sorted(names)} + continue + optional_precision = {assignment["task"] for assignment in request.get("view", {}).get("assignments", []) + if assignment.get("importance") != "required" + and request["tasks"].get(assignment["task"], {}).get("execution", {}).get("linear_precision")} + required = (names or set(request["tasks"])) - optional_precision + optional_precision_tasks.update(optional_precision) + jobs = {tid: job for job in request.get("jobs", []) + for tid in job.get("task_ids", [job["task_id"]])} + accepted, observations = set(), {} + for record in records: + if _is_scoped_attempt(record) or record.get("family") != family or record.get("task") not in required: + continue + task_name = record["task"] + task = request["tasks"].get(task_name) + errors = (["missing_current_task_binding"] if task is None else + _coverage_observation_errors(root, record, request, task, jobs.get(task_name, {}))) + if errors: + invalid_counts.update(errors) + if len(examples) < 12: + examples.append({"family": family, "task": task_name, "reasons": errors}) + continue + digest = stable_hash(record) + if task_name in observations and observations[task_name] != digest: + accepted.discard(task_name) + invalid_counts["conflicting_observations"] += 1 + observations[task_name] = None + elif task_name not in observations: + observations[task_name] = digest + accepted.add(task_name) + accepted_count += len(accepted) + missing = sorted(required - accepted) + if missing: + missing_by_family[family] = {"candidate_id": cid, "missing_tasks": missing} + summary = coverage.get("summary", {}) + pending, running = int(summary.get("pending", 0)), int(summary.get("running", 0)) + return {"current": not missing_by_family and not binding_errors and pending == 0 and running == 0, + "scope": "current_source_measurements", "qualification_reuse": False, + "pending": pending, "running": running, "faithful_measured_cells": accepted_count, + "missing_by_family": missing_by_family, "binding_errors": binding_errors, + "optional_precision_tasks": sorted(optional_precision_tasks), + "invalid_record_counts": dict(sorted(invalid_counts.items())), "gap_examples": examples, + "note": "Retained diagnostic integrity is checked separately. Missing observed execution witnesses " + "remain measurement gaps; declarations and archived verdicts cannot reconstruct them."} + + def _concluded_ordinary_records(root: Path) -> list[dict[str, Any]]: records_dir = Path(root) / "reports/forge/records" if not records_dir.is_dir(): @@ -629,7 +868,6 @@ def _discriminator_stability_max_tier(root: Path) -> int: def check_selected_family_readouts(root: Path, *, cuda_model: str = DEFAULT_CUDA_MODEL) -> dict[str, Any]: from reports.forge.regenerate_technique_inventory import ( _ReadoutCompatibilityMatcher, - _load_attempt_coverage_family_verdicts, _load_attempt_coverage_task_fps, _resolve_idea_for_readout_check, ) @@ -637,7 +875,7 @@ def check_selected_family_readouts(root: Path, *, cuda_model: str = DEFAULT_CUDA root = Path(root).resolve() concluded = _concluded_ordinary_records(root) coverage_fps = _load_attempt_coverage_task_fps(root) - coverage_verdicts = _load_attempt_coverage_family_verdicts(root) + coverage_verdicts = {} # Diagnostic coverage never supplies ordinary task measurements. shared_attempt_cache: dict[str, dict[str, Any] | None] = {} leaderboard_texts = {} for view_id in ORDINARY_LEADERBOARD_VIEWS: @@ -664,11 +902,22 @@ def check_selected_family_readouts(root: Path, *, cuda_model: str = DEFAULT_CUDA raise CodeChangeRequiredError(f"cannot resolve selected candidate {cid}: {exc}") from exc assignments = req["view"]["assignments"] + fam_cov = coverage_verdicts.get(family, {}) + + def _is_optional_precision_tasks(item: dict[str, Any]) -> bool: + tid = item["task"] + return ( + item.get("importance") != "required" + and tid not in fam_cov + and bool((req["tasks"].get(tid, {}).get("execution") or {}).get("linear_precision")) + ) + t1_assignments = [item for item in assignments if int(item["qualification_tier"]) == 1] t1_runnable = [ item["task"] for item in t1_assignments if not req["tasks"][item["task"]].get("preflight_blockers") + and not _is_optional_precision_tasks(item) ] if not t1_runnable: continue @@ -730,27 +979,6 @@ def check_selected_family_readouts(root: Path, *, cuda_model: str = DEFAULT_CUDA f"in current-source readout" ) - t1_task_set = {item["task"] for item in t1_assignments} - if matching and all(t in measured_statuses for t in t1_runnable): - for cov_tid, cov_st in coverage_verdicts.get(family, {}).items(): - if cov_tid not in t1_task_set and cov_tid not in measured_statuses: - t_card = req["tasks"].get(cov_tid) - if ( - isinstance(t_card, dict) - and "execution" in t_card - and "evaluation" in t_card - and req_source_digest - and ( - (req_source_digest, cov_tid) not in coverage_fps - or ( - task_execution_fingerprint(t_card), - task_evaluation_fingerprint(t_card), - ) - in coverage_fps.get((req_source_digest, cov_tid), set()) - ) - ): - measured_statuses[cov_tid] = cov_st - def _dep_blocked(task_id: str, seen: frozenset[str] = frozenset()) -> bool: if task_id in seen: return False @@ -779,6 +1007,7 @@ def _dep_blocked(task_id: str, seen: frozenset[str] = frozenset()) -> bool: for item in tier_assignments if not req["tasks"][item["task"]].get("preflight_blockers") and not _dep_blocked(item["task"]) + and not _is_optional_precision_tasks(item) ] unmeasured = [task for task in tier_runnable if task not in measured_statuses] if unmeasured: @@ -796,6 +1025,7 @@ def _dep_blocked(task_id: str, seen: frozenset[str] = frozenset()) -> bool: not matched_attempt_ids or not all( (root / "reports/forge/attempts" / aid / "result.json").is_file() + and (compat_matcher._load_attempt_request(aid) or {}).get("candidate_revision") == rev for aid in matched_attempt_ids ) ): @@ -1173,8 +1403,7 @@ def _generated_pages_synced(root: Path, inv_json: dict[str, Any], inv_md: str) - # Archived display scores still need an integrity check when the latest # source has no Tier 1 payload. A digest footer alone cannot detect a # changed overview score or a false source-qualification claim. - if (rti._formulaic_display_payload(inv_json, root) is not None - and inv_md != rti._current_markdown(inv_json, root, root / "reports/forge/technique-inventory.md")): + if inv_md != rti._current_markdown(inv_json, root, root / "reports/forge/technique-inventory.md"): return False for page_path, expected_text in generated_pages(root, inv_json).items(): @@ -1260,40 +1489,7 @@ def check_compiled_reports(root: Path) -> dict[str, Any]: if inv_json.get("family_progress"): from reports.forge import regenerate_technique_inventory as rti - expected_tier1 = rti._current_source_tier1_readouts_markdown(inv_json, root, inv_md_path) - formulaic_synced = True - if rti._selected_recipe_binary_task_statuses(inv_json, root) is not None: - rewritten = rti._formulaic_selected_recipe_tables(inv_md, inv_json, root, inv_md_path) - sel_rows = "\n".join( - line - for line in inv_md.split("## Full-suite results", 1)[0].splitlines() - if line.startswith("|") - ) - vb_rows = ( - "\n".join( - line - for line in inv_md.split("Selected recipe breakdown by view", 1)[1] - .split("", 1)[0] - .splitlines() - if line.startswith("|") - ) - if "Selected recipe breakdown by view" in inv_md - else "" - ) - formulaic_synced = ( - rewritten == inv_md - and "Every selected recipe is evaluated formulaically across Tier 1, Tier 2, Tier 3, and Tier 4 as binary PASS or FAIL" - in inv_md - and not any( - tok in sel_rows or tok in vb_rows - for tok in ("not run", "incompatible", "blocked", "diagnostic attempt", "preflight-blocked") - ) - ) - current_source_tier1_synced = ( - (expected_tier1 in inv_md and formulaic_synced) - if expected_tier1 - else ("### Current-source selected-recipe Tier 1 readouts" not in inv_md) - ) + current_source_tier1_synced = inv_md == rti._current_markdown(inv_json, root, inv_md_path) refresh_docs_synced = ( "python ops/refresh_forge_readouts.py --check" in inv_md and "python ops/refresh_forge_readouts.py --reports-only" in inv_md @@ -1357,6 +1553,7 @@ def check_status( "queue": check_queue_status(root, queue_root), "scaling_performance": check_scaling_performance(root), "attempt_coverage": check_attempt_coverage(root), + "retained_diagnostic_integrity": check_retained_diagnostic_integrity(root), "selected_family_readouts": check_selected_family_readouts(root, cuda_model=cuda_model), "compiled_reports": check_compiled_reports(root), } @@ -1383,7 +1580,10 @@ def check_published_status( """ strict = check_status(root, queue_root=queue_root, cuda_model=cuda_model) stages = {name: deepcopy(strict["stages"][name]) - for name in ("queue", "attempt_coverage", "compiled_reports")} + for name in ("queue", "compiled_reports")} + stages["retained_diagnostic_integrity"] = deepcopy( + strict["stages"]["retained_diagnostic_integrity"] if "retained_diagnostic_integrity" in strict["stages"] + else check_retained_diagnostic_integrity(root)) performance = deepcopy(strict["stages"]["scaling_performance"]) performance["current"] = performance.get("published_source_current", False) performance["scope"] = "recorded_source_cohort" @@ -2036,12 +2236,17 @@ def refresh_attempt_coverage( attempt_state_root = Path(attempt_state_root).resolve() attempt_state_root.mkdir(parents=True, exist_ok=True) if (root / FIXED_TEST_LIST).is_file(): - from ops.formulaic_coverage import ensure_formulaic_attempt_coverage - - return ensure_formulaic_attempt_coverage( - root, attempt_state_root, pair_gpus, json_mode=json_mode + from ops.formulaic_coverage import ( + RetiredCoverageExecutionError, ensure_formulaic_attempt_coverage, ) + try: + return ensure_formulaic_attempt_coverage( + root, attempt_state_root, pair_gpus, json_mode=json_mode + ) + except RetiredCoverageExecutionError as error: + raise CodeChangeRequiredError(str(error)) from error + publication = read_json(root / "reports/forge/technique-inventory.json") existing_cov = ( read_json(root / "reports/forge/attempt-coverage.json") diff --git a/particlegan/__init__.py b/particlegan/__init__.py index 9c85b6442..539ce6831 100644 --- a/particlegan/__init__.py +++ b/particlegan/__init__.py @@ -11,10 +11,17 @@ from .capabilities import prior_capabilities, prior_mechanisms from .birth_death import ParticleRows, ScalarHeadFeatures from .conditioning import UCD, ucd_labels, ucd_loss, ucd_scores +from .conditional_score import conditional_energy_score from .continuous import DataDriftController from .diffusion import DDGAN from .discriminators import BatchDistanceDiscriminator, LinearSkipDiscriminator from .gan_loss import GANLoss +from .joint_reconstruction import joint_reconstruction_loss +from .masked_mixture import ( + NeuralComponentImputer, + masked_mixture_nll, + masked_quantile_transport_loss, +) from .particle_prior import GaussianPrior, MoGParticlePrior, ParticlePrior, calibrate_mog_sigma from .priors import ( AdditiveNormalManipulator, @@ -72,6 +79,8 @@ "StratifiedBlueNoisePrior", "SBNPPriorRegularizer", "ContinuousThermalCooler", "BISPFEngine", "BISPFLossAdapter", "BISPFStepRecord", "BISPFCriticAdam", "BISPFCriticPenalty", "SinkhornRelativisticLoss", "BISPFGates", "DDGAN", "UCD", "ucd_labels", "ucd_loss", "ucd_scores", + "conditional_energy_score", "joint_reconstruction_loss", + "masked_mixture_nll", "NeuralComponentImputer", "masked_quantile_transport_loss", "DEFAULT_RECIPE", "Recipe", "NetworkLRTransition", "DataDriftController", "get_recipe", "get_recipe_fields", "learning_rate_scale", "learning_rate_scales", "scale_learning_rates", "GANTrainer", "InputNoise", "BatchDistanceDiscriminator", "LinearSkipDiscriminator", ] diff --git a/particlegan/conditional_score.py b/particlegan/conditional_score.py new file mode 100644 index 000000000..939714fc2 --- /dev/null +++ b/particlegan/conditional_score.py @@ -0,0 +1,29 @@ +"""Sample-only proper scores for caller-owned conditional generators.""" +from __future__ import annotations + +import torch + + +def conditional_energy_score(samples: torch.Tensor, target: torch.Tensor) -> torch.Tensor: + """Unbiased energy loss, averaged over a batch of conditional observations. + + ``samples`` has shape [batch, draws, *event] and ``target`` [batch, *event]. + Draws must be independent conditional on the same context. The off-diagonal + U-statistic preserves the population score for any ensemble size >= 2; + including diagonal pairs would incorrectly favor underdispersion. This is + the negative of Gneiting/Raftery (2007), equation 22, with beta=1. + The target is a fixed observation (detached). Nonfinite inputs propagate + to the loss so the caller's finite-loss guard rejects the update. + The caller owns sampling and every consumed RNG stream. + """ + if samples.ndim < 3 or target.shape != samples.shape[:1] + samples.shape[2:]: + raise ValueError("energy score expects [batch,draws,*event] and [batch,*event]") + if samples.shape[0] == 0 or samples.shape[1] < 2 or target.numel() == 0: + raise ValueError("energy score requires a nonempty batch/event and at least two independent draws") + if not samples.is_floating_point() or target.device != samples.device or target.dtype != samples.dtype: + raise ValueError("energy score requires matching floating-point device and dtype") + x, y = samples.flatten(2), target.detach().flatten(1) + attraction = torch.linalg.vector_norm(x - y[:, None], dim=-1).mean(1) + separation = torch.linalg.vector_norm(x[:, :, None] - x[:, None, :], dim=-1) + k = samples.shape[1] + return (attraction - separation.sum((1, 2)) / (2 * k * (k - 1))).mean() diff --git a/particlegan/grad_regularizers.py b/particlegan/grad_regularizers.py index 26d4e95a9..03c4e9a6e 100644 --- a/particlegan/grad_regularizers.py +++ b/particlegan/grad_regularizers.py @@ -75,6 +75,8 @@ class GradientPenalty: E relu(||g_f|| - kappa)²)``. Fixed arms use the v0.7.0 L2 kernels, without RMS rescaling, handover or EMA-anchor evaluation. Laziness applies to every arm. Other historical norms/methods are not supported. + Fixed arms optionally weight the real/fake means independently; the + default ``(1, 1)`` preserves their original arithmetic and forward calls. ``pen = coeff/2 * (s * A + (1 - s) * B)`` with @@ -92,6 +94,9 @@ class GradientPenalty: arm: ``k3p`` (default), fixed squared-L2 ``a_r1r2``, or fixed one-sided L2 ``b_cap``. Fixed arms ignore the K3P blend/anchor. coeff: penalty strength. + real_weight: multiplier of the fixed arm's real-input term. + fake_weight: multiplier of the fixed arm's fake-input term. Zero skips + its critic forward and input autograd; ``(1, 0)`` is R1-only. kappa: the cap on the gradient norm. lazy_k: apply every k-th step with the coefficient multiplied by k. lr_floor: the critic LR floor f as a fraction of the peak LR, so @@ -117,10 +122,18 @@ def __init__( record: Optional[CriticStepRecord] = None, *, arm: str = "k3p", + real_weight: float = 1.0, + fake_weight: float = 1.0, ) -> None: if arm not in ("k3p", "a_r1r2", "b_cap"): raise ValueError(f"unknown critic penalty arm: {arm!r}") self.arm = arm + for name, value in (("real_weight", real_weight), ("fake_weight", fake_weight)): + if type(value) not in (int, float) or not math.isfinite(value) or value < 0: + raise ValueError(f"{name} must be finite and nonnegative") + self.real_weight, self.fake_weight = float(real_weight), float(fake_weight) + if arm == "k3p" and (self.real_weight, self.fake_weight) != (1., 1.): + raise ValueError("real/fake penalty weights require a fixed arm") self.coeff = float(coeff) self.kappa = float(kappa) self.lazy_k = int(lazy_k) @@ -207,18 +220,30 @@ def __call__(self, D, x_real, x_fake, step=1, *, ema_critic=None): return self.penalty(D, x_real, x_fake, step, collect_stats=False, ema_critic=ema_critic)[0] def _fixed_penalty(self, D, x_real, x_fake, coefficient, collect_stats): - """The released v0.7.0 R1/R2 and BCap formulas, operation for operation.""" + """Released fixed formulas, with opt-in weights on their two means.""" squared = self.arm == "a_r1r2" - real_norm = self._grad_norm(D, x_real, squared=squared) - fake_norm = self._grad_norm(D, x_fake, squared=squared) - if squared: - real_term, fake_term = real_norm, fake_norm - center = 0.0 + center = 0.0 if squared else self.kappa + if (self.real_weight, self.fake_weight) == (1., 1.): + # Keep the original graph, forward order and arithmetic exactly. + real_norm = self._grad_norm(D, x_real, squared=squared) + fake_norm = self._grad_norm(D, x_fake, squared=squared) + if squared: + real_term, fake_term = real_norm, fake_norm + else: + real_term = F.relu(real_norm - self.kappa).pow(2) + fake_term = F.relu(fake_norm - self.kappa).pow(2) + total = real_term.mean() + fake_term.mean() else: - real_term = F.relu(real_norm - self.kappa).pow(2) - fake_term = F.relu(fake_norm - self.kappa).pow(2) - center = self.kappa - pen = (coefficient / 2.0) * (real_term.mean() + fake_term.mean()) + total = x_real.new_zeros(()) + for weight, inputs in ((self.real_weight, x_real), (self.fake_weight, x_fake)): + if weight == 0: + # An inactive term performs no critic forward, autograd or + # random draw. Each caller retains its named RNG streams. + continue + norm = self._grad_norm(D, inputs, squared=squared) + term = norm if squared else F.relu(norm - self.kappa).pow(2) + total = total + weight * term.mean() + pen = (coefficient / 2.0) * total self.record.calls += 1 if not collect_stats: return pen, {} diff --git a/particlegan/joint_reconstruction.py b/particlegan/joint_reconstruction.py new file mode 100644 index 000000000..9879e1d54 --- /dev/null +++ b/particlegan/joint_reconstruction.py @@ -0,0 +1,26 @@ +"""Explicit inverse-consistency objective for caller-owned joint GAN hosts. + +Categorical reconstructions enter as logits, so confident wrong predictions keep +a corrective cross-entropy derivative. Targets never receive gradients. This +training objective does not change a host's generator or sampling law. +""" +import torch +from torch.nn import functional as F + + +def joint_reconstruction_loss(reconstruction, target, *, categorical_dim=None): + """Mean squared error, or mean categorical cross entropy from raw logits.""" + if (not isinstance(reconstruction, torch.Tensor) or not isinstance(target, torch.Tensor) + or reconstruction.shape != target.shape or reconstruction.ndim < 2 + or len(reconstruction) < 1 or not reconstruction.is_floating_point() + or reconstruction.device != target.device or reconstruction.dtype != target.dtype): + raise ValueError("joint reconstruction requires matching nonempty floating panels") + if categorical_dim is None: + return F.mse_loss(reconstruction, target.detach()) + if (type(categorical_dim) is not int or categorical_dim == 0 + or not -reconstruction.ndim < categorical_dim < reconstruction.ndim): + raise ValueError("categorical dimension must name a non-batch axis") + axis = categorical_dim % reconstruction.ndim + if axis == 0: + raise ValueError("categorical dimension cannot be the batch axis") + return -(target.detach() * reconstruction.log_softmax(axis)).sum(axis).mean() diff --git a/particlegan/masked_mixture.py b/particlegan/masked_mixture.py new file mode 100644 index 000000000..468c13a6e --- /dev/null +++ b/particlegan/masked_mixture.py @@ -0,0 +1,73 @@ +"""Observed-only mixture likelihood and an amortized component classifier. + +No complete real examples, component labels or distances are needed at serving. +The synthetic classifier labels must come from the caller's own generator. +""" +import math + +import torch +from torch import nn +from torch.nn import functional as F + + +def masked_mixture_nll(observed, mask, components, *, sigma): + """Uniform Gaussian-mixture NLL in observed coordinates, averaged per sensor. + +Missing entries are removed with where before arithmetic, including NaNs. +Mixture locations retain gradients. Width is an explicit observation model, +not a change to the task's sampled MoG prior width. +""" + if observed.ndim != 2 or mask.shape != observed.shape or components.ndim != 2 or components.shape[1] != observed.shape[1]: + raise ValueError("expected observed/mask [B,D] and components [K,D]") + if not isinstance(sigma, (float, int)) or not math.isfinite(sigma) or sigma <= 0: + raise ValueError("sigma must be finite and positive") + if not bool(((mask == 0) | (mask == 1)).all()) or bool((mask.sum(1) == 0).any()): + raise ValueError("mask must be binary with at least one observed sensor per row") + clean = torch.where(mask.bool(), observed, 0.) + residual = torch.where(mask[:, None].bool(), clean[:, None] - components[None], 0.) + count = mask.sum(1) + logp = -.5 * residual.square().sum(-1) / sigma**2 - count[:, None] * math.log(sigma * math.sqrt(2 * math.pi)) + return ((math.log(len(components)) - torch.logsumexp(logp, dim=1)) / count).mean() + + +class NeuralComponentImputer(nn.Module): + """Neural conditional logits; serving draws never compute component distances.""" + def __init__(self, dimension, components, hidden=64): + super().__init__() + self.network = nn.Sequential(nn.Linear(2 * dimension, hidden), nn.LeakyReLU(.2), + nn.Linear(hidden, hidden), nn.LeakyReLU(.2), nn.Linear(hidden, components)) + + def forward(self, observed, mask): + return self.network(torch.cat((torch.where(mask.bool(), observed, 0.), mask), dim=-1)) + + def synthetic_loss(self, generated, mask, component_ids): + return F.cross_entropy(self(generated.detach(), mask), component_ids.detach()) + + def draw_indices(self, observed, mask, *, draws, generator): + return torch.multinomial(self(observed, mask).softmax(-1), draws, + replacement=True, generator=generator).T + + +def masked_quantile_transport_loss(generated, observed, mask, *, projections=32): + """Equal-mass projected quantile matching within each observed mask cohort. + +The same generated batch and actual mask rows are reused. No complete real +data, mode labels, new noise, fitted mixture weights or altered sampling enter. +Single-row mask cohorts contribute zero because empirical spread is undefined. +""" + from .kinetic_transport import kinetic_transport_loss + if generated.ndim != 2 or generated.shape != observed.shape or mask.shape != observed.shape: + raise ValueError("expected matching generated/observed/mask [B,D]") + if not bool(((mask == 0) | (mask == 1)).all()): + raise ValueError("mask must be binary") + _, groups = torch.unique(mask, dim=0, return_inverse=True) + loss = generated[:0].sum() + for group in groups.unique(): + rows = groups == group + count = int(rows.sum()) + if count >= 2: + keep = mask[rows].bool() + fake = torch.where(keep, generated[rows], 0.) + real = torch.where(keep, observed[rows], 0.) + loss = loss + (count / len(generated)) * kinetic_transport_loss(fake, real, projections=projections) + return loss diff --git a/particlegan/recipe_compat.py b/particlegan/recipe_compat.py index b787cac8b..caec40f5d 100644 --- a/particlegan/recipe_compat.py +++ b/particlegan/recipe_compat.py @@ -1,6 +1,9 @@ """Default projections for Recipe additions; archived packets keep their identity.""" SEARCH_RECIPE_DEFAULTS = { + "reg_real_weight": 1.0, "reg_fake_weight": 1.0, + "joint_reconstruction_weight": 0.0, + "conditional_energy_weight": 0.0, "conditional_energy_samples": 8, "training_precision": "float32", "prior_update": "learned", "prior_regularizer": "vicreg", "prior_coulomb_softening": .1, "prior_coulomb_confinement": .35, "prior_coulomb_neighbors": 8, @@ -10,6 +13,9 @@ "critic_step_mode": "none", "constraint_geometry_mode": "none", "kinetic_transport_weight": 0.0, + "masked_mixture_weight": 0.0, + "masked_transport_weight": 0.0, + "imputer_component_weight": 0.0, "kinetic_transport_local_weight": 0.0, "kinetic_transport_projections": 32, "optimizer_smoothing": 0.0, diff --git a/particlegan/recipes.py b/particlegan/recipes.py index 790c991e4..4ba778905 100644 --- a/particlegan/recipes.py +++ b/particlegan/recipes.py @@ -70,12 +70,19 @@ class Recipe: # fixed R1/R2 and BCap retain their released L2 units. reg_arm: str | None = None reg_coeff: float = 1.0 + # Explicit fixed-arm real/fake terms. Defaults preserve the paired kernels; + # R1-only is (1, 0), with the original half-gamma real coefficient retained. + reg_real_weight: float = 1.0 + reg_fake_weight: float = 1.0 reg_kappa: float = 1.0 reg_every: int = 1 ebi_beta: float = 30.0 # Optional finite same-training-panel critic step guard; none preserves history. critic_step_mode: str = "none" prior_reg: float = 0.0 + # Explicit joint inverse supervision; hosts supply paired reconstructed + # outputs (raw logits for categorical coordinates) and their actual targets. + joint_reconstruction_weight: float = 0.0 # The recipe owns learning/freezing and every latent-prior penalty. Tasks # supply the initial distribution, capacity and sampling law. prior_update: str = "learned" @@ -122,6 +129,12 @@ class Recipe: distance_reduction: str = "sum" observation_sigma: float = 0.03 reconstruction_weight: float = 1.0 + conditional_energy_weight: float = 0.0 + conditional_energy_samples: int = 8 + # Incomplete-data component callers only; unsupported hosts reject these. + masked_mixture_weight: float = 0.0 + masked_transport_weight: float = 0.0 + imputer_component_weight: float = 0.0 # Opt-in label-free transport signal on the same G-phase target batch. kinetic_transport_weight: float = 0.0 generator_gradient_response: str = "none" @@ -307,6 +320,9 @@ def from_dict(cls, saved_fields): return cls(**{**defaults, **saved_fields}) def __post_init__(self): + if (type(self.conditional_energy_samples) is not int + or self.conditional_energy_samples < 2): + raise ValueError("conditional_energy_samples must be an integer >= 2") if type(self.bispf_shape_gates) is not bool: raise ValueError("bispf_shape_gates must be a boolean") overrides = self.bispf_gate_overrides @@ -455,6 +471,13 @@ def __post_init__(self): if self.reg_coeff_end is not None and ( isinstance(self.reg_coeff_end, bool) or not math.isfinite(self.reg_coeff_end) or self.reg_coeff_end < 0): raise ValueError("reg_coeff_end must be None or finite and nonnegative") + for name in ("reg_real_weight", "reg_fake_weight"): + value = getattr(self, name) + if type(value) not in (int, float) or not math.isfinite(value) or value < 0: + raise ValueError(f"{name} must be finite and nonnegative") + if ((self.reg_real_weight, self.reg_fake_weight) != (1., 1.) + and self.reg_arm not in ("a_r1r2", "b_cap")): + raise ValueError("real/fake penalty weights require an explicit fixed R1/R2 or BCap reg_arm") if self.optimizer_family != "formulation": if self.reg_arm not in ("a_r1r2", "b_cap") and self.critic_formulation != "bispf": raise ValueError("plain optimizers require an explicit fixed R1/R2 or BCap reg_arm") @@ -655,9 +678,13 @@ def __post_init__(self): if type(self.direct_particle_gain) is not bool: raise ValueError("direct_particle_gain must be a boolean") for key in ("reg_coeff", "reg_kappa", "reg_anchor_weight", "prior_reg", "ucd_weight", - "reconstruction_weight"): + "reconstruction_weight", "conditional_energy_weight", + "masked_mixture_weight", "masked_transport_weight", "imputer_component_weight"): if not math.isfinite(getattr(self, key)) or getattr(self, key) < 0: raise ValueError(f"{key} must be finite and nonnegative") + if (type(self.joint_reconstruction_weight) not in (int, float) + or not math.isfinite(self.joint_reconstruction_weight) or self.joint_reconstruction_weight < 0): + raise ValueError("joint_reconstruction_weight must be finite and nonnegative") if len(self.betas) != 2 or any(not 0 <= b < 1 for b in self.betas): raise ValueError("betas must contain two values in [0, 1)") if self.prior_betas is not None and (len(self.prior_betas) != 2 or any(not 0 <= b < 1 for b in self.prior_betas)): @@ -812,6 +839,14 @@ def make_loss(self): from .gan_loss import GANLoss return GANLoss(self.loss, labels=self.loss_labels) + def joint_reconstruction_loss(self, reconstruction, target, *, categorical_dim=None): + """Weighted paired supervision for an explicitly bound joint inverse host.""" + if self.joint_reconstruction_weight == 0: + return reconstruction[:0].sum() + from .joint_reconstruction import joint_reconstruction_loss + return self.joint_reconstruction_weight * joint_reconstruction_loss( + reconstruction, target, categorical_dim=categorical_dim) + def kinetic_transport_loss(self, fake, real): """Weighted empirical transport on caller-owned G-phase output batches. @@ -884,6 +919,8 @@ def _penalty_options(self, **overrides): "kappa": self.reg_kappa, "lazy_k": self.reg_every, "anchor_weight": self.reg_anchor_weight, "lr_floor": floor if floor < .5 else 0., **overrides} + if self.reg_arm in ("a_r1r2", "b_cap"): + options = {"real_weight": self.reg_real_weight, "fake_weight": self.reg_fake_weight, **options} from .grad_regularizers import GradientPenalty GradientPenalty(**options) return options @@ -1237,7 +1274,8 @@ def apply_prior_policy(self, prior): return prior def make_optimizers(self, generator, discriminator, prior=None, *, encoder=None, ema_critic=None, - require_latent_damping=False, ka2_trust_mode="compound", **adam_kwargs): + require_latent_damping=False, separate_encoder_groups=False, + ka2_trust_mode="compound", **adam_kwargs): """Return ``(opt_g, opt_d)`` selected by ``optimizer_family``. ``ka2_trust_mode`` reaches only the critic optimizer @@ -1258,6 +1296,12 @@ def make_optimizers(self, generator, discriminator, prior=None, *, encoder=None, multiplier of ``learning_rate_scales`` and everything else by the network one. + ``separate_encoder_groups=True`` gives G and E distinct homogeneous + groups, with the same network rate and optimizer settings. Use this + when binding both modules to ``UpdatePolicy``. The default preserves + develop's unlabelled native G/E groups and checkpoint layout. Normalized + families already label the two roles. + Parameters are used as supplied; initialize fresh networks first (e.g. ``particlegan.init.deterministic_orthogonal_``). @@ -1272,6 +1316,8 @@ def make_optimizers(self, generator, discriminator, prior=None, *, encoder=None, groups and ``lr`` for normalized groups (the same role multipliers). """ from .capabilities import prior_mechanisms + if type(separate_encoder_groups) is not bool: + raise TypeError("separate_encoder_groups must be a boolean") if prior is not None: self._validate_frozen_prior_ownership(prior, generator, discriminator, encoder, ema_critic) self.apply_prior_policy(prior) @@ -1301,9 +1347,9 @@ def make_optimizers(self, generator, discriminator, prior=None, *, encoder=None, g_params.append(p) role_params.append(p) if role_params: - if normalized: + if normalized or separate_encoder_groups: role_groups = [{"params": role_params, "lr": self.lr, "role": role}] - if self.optimizer_convolution == "per_offset": + if normalized and self.optimizer_convolution == "per_offset": from .optim.dualnorm import convolution_parameter_groups role_groups = convolution_parameter_groups(role_groups, [generator, encoder], family=self.optimizer_family, @@ -1314,12 +1360,12 @@ def make_optimizers(self, generator, discriminator, prior=None, *, encoder=None, if base_params: groups.append({"params": base_params, "lr": self.lr * self.prior_lr_mult, "betas": self.prior_betas if self.prior_betas is not None else self.betas, - **({"role": "prior"} if normalized else {}), + **({"role": "prior"} if normalized or separate_encoder_groups else {}), **({"eps": self.prior_eps} if self.prior_eps is not None else {})}) if router_params: groups.append({"params": router_params, "lr": self.lr, "betas": self.betas, - **({"role": "router"} if normalized else {})}) + **({"role": "router"} if normalized or separate_encoder_groups else {})}) mechanisms = prior_mechanisms(prior, latent_damping_max_rate=self.latent_damping_max_rate if self.prior_update == "learned" else 0., prior_beta1=(self.prior_betas or self.betas)[0]) diff --git a/particlegan/training.py b/particlegan/training.py index efa22da16..552224a43 100644 --- a/particlegan/training.py +++ b/particlegan/training.py @@ -181,6 +181,10 @@ def __init__(self, recipe, generator, discriminator, *, prior=None, seed=0, row_evidence_statistic="sphericity", serve_after_step=True): if not isinstance(recipe, Recipe): raise TypeError("recipe must be a Recipe") + if recipe.conditional_energy_weight: + raise ValueError("conditional energy score requires a caller-owned paired conditional host") + if recipe.masked_mixture_weight or recipe.masked_transport_weight or recipe.imputer_component_weight: + raise ValueError("masked mixture/imputer objectives require a caller-owned incomplete-data host") if type(serial_backward) is not bool: raise TypeError("serial_backward must be a boolean") if type(serve_after_step) is not bool: diff --git a/pyproject.toml b/pyproject.toml index 07543f0ac..aec47aae4 100644 --- a/pyproject.toml +++ b/pyproject.toml @@ -4,9 +4,11 @@ build-backend = "setuptools.build_meta" [project] name = "particlegan" -version = "0.9.7" +version = "0.9.8" description = "Composable PyTorch primitives for learnable particle priors, GANs, and DDGAN" readme = "README.md" +license = "MIT" +license-files = ["LICENSE"] requires-python = ">=3.11" dependencies = [ "torch>=2.6,<3", @@ -15,7 +17,7 @@ dependencies = [ [project.urls] Repository = "https://github.com/255BITS/ParticleGAN" -Documentation = "https://github.com/255BITS/ParticleGAN/blob/v0.9.7/docs/api.md" +Documentation = "https://github.com/255BITS/ParticleGAN/blob/v0.9.8/docs/api.md" [project.optional-dependencies] mog = ["scipy>=1.10,<2"] diff --git a/reports/forge/EXPERIMENTS_BY_TIER.md b/reports/forge/EXPERIMENTS_BY_TIER.md index 1ed8ebf85..7e52bed48 100644 --- a/reports/forge/EXPERIMENTS_BY_TIER.md +++ b/reports/forge/EXPERIMENTS_BY_TIER.md @@ -2,9 +2,9 @@ Current task assignments, grouped by goal view and qualification tier. Required tasks gate progression; ranking and diagnostic tasks retain their declared roles. -Catalog: **191 tasks**; **154 assigned** to at least one view; **37 unassigned**. Showing **27/27 views**. +Catalog: **195 tasks**; **157 assigned** to at least one view; **38 unassigned**. Showing **31/31 views**. -Declared priors across the catalog: **84 MoGParticlePrior**, **107 ParticlePrior** (including **10 nonsampled parameter controls**). Every experiment defines `execution.prior` explicitly; candidate and API defaults cannot supply it. `kind: mog` selects `MoGParticlePrior`; `kind: particle_cloud` selects `ParticlePrior`. Sigma alone does not identify the code path. Ordinary Forge MoG tasks require positive sigma; archived zero-sigma MoG evidence keeps its recorded kind. Task sigma is absolute; API demonstrations may instead record the recipe's relative `sigma_rel`. +Declared priors across the catalog: **88 MoGParticlePrior**, **107 ParticlePrior** (including **10 nonsampled parameter controls**). Every experiment defines `execution.prior` explicitly; candidate and API defaults cannot supply it. `kind: mog` selects `MoGParticlePrior`; `kind: particle_cloud` selects `ParticlePrior`. Sigma alone does not identify the code path. Ordinary Forge MoG tasks require positive sigma; archived zero-sigma MoG evidence keeps its recorded kind. Task sigma is absolute; API demonstrations may instead record the recipe's relative `sigma_rel`. Reproducible comparisons use the fixed screening seed `0` and candidate-independent named RNG streams. Within each task, candidates share architecture, data law, batch size, prior, initialization, training budget, evaluation cadence and sampling law. Only the declared trainer change varies. The initialization column exposes fixed controls and component policies that take precedence over the deterministic orthogonal fallback; these are separate comparison cohorts. Historical results retain their original bindings. @@ -46,21 +46,25 @@ This report follows changing declarations and published evidence; it selects no | [clockfree_continuous](../../configs/forge/views/clockfree_continuous.json) | 5 | 4 required | 12 required, 7 held | 6 required, 1 diagnostic (1 removed from the count) | 0 tasks | provisional | | [dcgan_performance](../../configs/forge/views/dcgan_performance.json) | 1 | 6 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | | [dcgan_performance_cpu_smoke](../../configs/forge/views/dcgan_performance_cpu_smoke.json) | 1 | 1 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | +| [ddgan-conditional-repair-v1](../../configs/forge/views/ddgan-conditional-repair-v1.json) | 2 | 2 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | | [discriminator_stability](../../configs/forge/views/discriminator_stability.json) | 16 | 11 required, 2 stretch, 2 diagnostic | 18 required, 7 held | 1 required, 1 held, 1 diagnostic (1 removed from the count) | 10 stretch, 5 held | provisional | | [formulation_comparison](../../configs/forge/views/formulation_comparison.json) | 3 | 3 required | 12 required, 7 held, 15 diagnostic | 1 required, 1 diagnostic (1 removed from the count) | 0 tasks | provisional | | [host_profile_transfer](../../configs/forge/views/host_profile_transfer.json) | 6 | 3 required | 12 required, 7 held, 13 diagnostic | 1 required, 1 diagnostic (1 removed from the count) | 0 tasks | provisional | | [k3p_two_pole_horizon](../../configs/forge/views/k3p_two_pole_horizon.json) | 1 | 2 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [lazy_cadence_coverage](../../configs/forge/views/lazy_cadence_coverage.json) | 1 | 30 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | +| [misgan-bispf-research-v1](../../configs/forge/views/misgan-bispf-research-v1.json) | 2 | 1 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [policy_cloud_coverage](../../configs/forge/views/policy_cloud_coverage.json) | 1 | 7 required | 21 required | 7 required | 0 tasks | undeclared | | [policy_cloud_coverage_as_served](../../configs/forge/views/policy_cloud_coverage_as_served.json) | 1 | 7 required | 21 required | 7 required | 0 tasks | undeclared | | [prior-ablation-full-suite-v1](../../configs/forge/views/prior-ablation-full-suite-v1.json) | 1 | 48 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | | [quality_coverage](../../configs/forge/views/quality_coverage.json) | 4 | 3 required | 12 required, 7 held | 0 tasks | 0 tasks | provisional | +| [r1r2-repair-word-retention-20261022](../../configs/forge/views/r1r2-repair-word-retention-20261022.json) | 1 | 2 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [recipe-prior-refactor-k3p-diagnostic-v1](../../configs/forge/views/recipe-prior-refactor-k3p-diagnostic-v1.json) | 1 | 23 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [recipe-prior-refactor-ka2-diagnostic-v1](../../configs/forge/views/recipe-prior-refactor-ka2-diagnostic-v1.json) | 1 | 23 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [recipe-prior-refactor-r1r2-diagnostic-v1](../../configs/forge/views/recipe-prior-refactor-r1r2-diagnostic-v1.json) | 1 | 23 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [recipe-prior-refactor-release07-gan-v3-diagnostic-v1](../../configs/forge/views/recipe-prior-refactor-release07-gan-v3-diagnostic-v1.json) | 1 | 23 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | | [selected-family-coverage-diagnostic-v1](../../configs/forge/views/selected-family-coverage-diagnostic-v1.json) | 1 | 1 diagnostic | 0 tasks | 0 tasks | 0 tasks | undeclared | | [tier1_policy_coverage](../../configs/forge/views/tier1_policy_coverage.json) | 1 | 7 required | 0 tasks | 0 tasks | 0 tasks | undeclared | +| [vaegan_coverage](../../configs/forge/views/vaegan_coverage.json) | 1 | 2 diagnostic | 0 tasks | 0 tasks | 0 tasks | provisional | ## adaptation @@ -606,6 +610,43 @@ No tasks assigned. No tasks assigned. +## ddgan-conditional-repair-v1 + +Declaration: [ddgan-conditional-repair-v1](../../configs/forge/views/ddgan-conditional-repair-v1.json); revision 2; goal: `ddgan_conditional_repair`. + +Declared calibration status: **undeclared**. + +Declared evidence scope: `research_diagnostic`. + +No published solution leaderboard for this view yet; task registration and related API media confer no candidate qualification. + +### Tier 1: smoke + +2 diagnostic. + +| Task | Importance | Prior code path | Initialization / protocol | Experiment guide | Adapter / gate | Declared steps | Timeout (s) | Dependencies / shared execution | +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json) | diagnostic | MoGParticlePrior (sigma=0.25) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-api-model-ddgan-gaussian-chain) | public_api_model_toy / transfer_sustained | 2500 | 600 | — | +| [ddgan_repair_bimodal_chain_wall_v2](../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json) | diagnostic | MoGParticlePrior (sigma=0.25) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-api-model-ddgan-bimodal-chain) | public_api_model_toy / transfer_sustained | 5000 | 1200 | — | + +### Tier 2: quality + +0 tasks. + +No tasks assigned. + +### Tier 3: endurance + +0 tasks. + +No tasks assigned. + +### Tier 4: stress_and_formulations + +0 tasks. + +No tasks assigned. + ## discriminator_stability Declaration: [discriminator_stability](../../configs/forge/views/discriminator_stability.json); revision 16; goal: `discriminator_stability`. @@ -958,6 +999,44 @@ No tasks assigned. No tasks assigned. +## misgan-bispf-research-v1 + +Declaration: [misgan-bispf-research-v1](../../configs/forge/views/misgan-bispf-research-v1.json); revision 2; goal: `misgan_recovery_and_imputation`. + +Declared calibration status: **provisional**. + +Scoped research diagnostic; no ordinary qualification or default adoption. + +Declared evidence scope: `research_diagnostic`. + +No published solution leaderboard for this view yet; task registration and related API media confer no candidate qualification. + +### Tier 1: smoke + +1 diagnostic. + +| Task | Importance | Prior code path | Initialization / protocol | Experiment guide | Adapter / gate | Declared steps | Timeout (s) | Dependencies / shared execution | +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +| [model_misgan_four_mode](../../configs/forge/tasks/model_misgan_four_mode.json) | diagnostic | MoGParticlePrior (sigma=0.025) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-model-misgan-four-mode) | public_api_model_toy / transfer_sustained | 1200 | 1800 | — | + +### Tier 2: quality + +0 tasks. + +No tasks assigned. + +### Tier 3: endurance + +0 tasks. + +No tasks assigned. + +### Tier 4: stress_and_formulations + +0 tasks. + +No tasks assigned. + ## policy_cloud_coverage Declaration: [policy_cloud_coverage](../../configs/forge/views/policy_cloud_coverage.json); revision 1; goal: `discriminator_stability`. @@ -1239,6 +1318,45 @@ No tasks assigned. No tasks assigned. +## r1r2-repair-word-retention-20261022 + +Declaration: [r1r2-repair-word-retention-20261022](../../configs/forge/views/r1r2-repair-word-retention-20261022.json); revision 1; goal: `discriminator_stability`. + +Declared calibration status: **provisional**. + +Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + +Declared evidence scope: `research_diagnostic`. + +No published solution leaderboard for this view yet; task registration and related API media confer no candidate qualification. + +### Tier 1: smoke + +2 diagnostic. + +| Task | Importance | Prior code path | Initialization / protocol | Experiment guide | Adapter / gate | Declared steps | Timeout (s) | Dependencies / shared execution | +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +| [five_word_joint_smoke](../../configs/forge/tasks/five_word_joint_smoke.json) | diagnostic | ParticlePrior (sigma=0) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-five-word-joint) | word_joint / word_smoke | 20001 | 900 | — | +| [five_word_joint_hold](../../configs/forge/tasks/five_word_joint_hold.json) | diagnostic | ParticlePrior (sigma=0) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-five-word-joint) | word_joint / word_hold | 4000 | 300 | [five_word_joint_smoke](../../configs/forge/tasks/five_word_joint_smoke.json) (checkpoint) | + +### Tier 2: quality + +0 tasks. + +No tasks assigned. + +### Tier 3: endurance + +0 tasks. + +No tasks assigned. + +### Tier 4: stress_and_formulations + +0 tasks. + +No tasks assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 Declaration: [recipe-prior-refactor-k3p-diagnostic-v1](../../configs/forge/views/recipe-prior-refactor-k3p-diagnostic-v1.json); revision 1; goal: `discriminator_stability`. @@ -1555,12 +1673,52 @@ No tasks assigned. No tasks assigned. +## vaegan_coverage + +Declaration: [vaegan_coverage](../../configs/forge/views/vaegan_coverage.json); revision 1; goal: `vaegan_coverage`. + +Declared calibration status: **provisional**. + +Two toy gates do not establish screen calibration or whole-suite adoption. + +Declared evidence scope: `research_diagnostic`. + +Candidate outcomes, metrics and measured costs: [leaderboard](leaderboards/vaegan_coverage.md). + +### Tier 1: smoke + +2 diagnostic. + +| Task | Importance | Prior code path | Initialization / protocol | Experiment guide | Adapter / gate | Declared steps | Timeout (s) | Dependencies / shared execution | +| --- | --- | --- | --- | --- | --- | --- | --- | --- | +| [model_vae_hard](../../configs/forge/tasks/model_vae_hard.json) | diagnostic | MoGParticlePrior (sigma=0.025) | deterministic_orthogonal; component policy; screening | [Question, results, GIFs](#experiment-api-model-vae-hard) | public_api_model_toy / transfer_sustained | 1200 | 300 | — | +| [model_vae_categorical](../../configs/forge/tasks/model_vae_categorical.json) | diagnostic | MoGParticlePrior (sigma=0.025) | deterministic_orthogonal; component policy; screening | [Question, results, GIFs](#experiment-api-model-vae-categorical) | public_api_model_toy / transfer_sustained | 1200 | 300 | — | + +### Tier 2: quality + +0 tasks. + +No tasks assigned. + +### Tier 3: endurance + +0 tasks. + +No tasks assigned. + +### Tier 4: stress_and_formulations + +0 tasks. + +No tasks assigned. + ## Tasks unassigned to any view These catalog tasks have no tier placement. Add an assignment to a view to include them in its policy. | Task | Prior code path | Initialization / protocol | Experiment guide | Adapter / gate | Declared steps | Timeout (s) | Dependencies / shared execution | | --- | --- | --- | --- | --- | --- | --- | --- | +| [ddgan_repair_bimodal_chain_v1](../../configs/forge/tasks/ddgan_repair_bimodal_chain_v1.json) | MoGParticlePrior (sigma=0.25) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-api-model-ddgan-bimodal-chain) | public_api_model_toy / transfer_sustained | 5000 | 600 | — | | [five_word_joint_acquisition](../../configs/forge/tasks/five_word_joint_acquisition.json) | ParticlePrior (sigma=0) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-five-word-joint) | word_joint / transfer_sustained | 20001 | 900 | — | | [gaussian1d_acquisition](../../configs/forge/tasks/gaussian1d_acquisition.json) | MoGParticlePrior (sigma=0.025) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-gaussian1d-acquisition) | transfer_vector / transfer_sustained | 1000 | 120 | — | | [gaussian1d_shallow_smoke](../../configs/forge/tasks/gaussian1d_shallow_smoke.json) | MoGParticlePrior (sigma=0.1) | deterministic_orthogonal; screening | [Question, results, GIFs](#experiment-gaussian1d-acquisition) | transfer_vector / gaussian_smoke | 1000 | 120 | — | @@ -1687,7 +1845,7 @@ Recorded Forge task outcomes (exact saved configuration/source/runtime): | Task | Configuration | Recorded prior code path | Recorded outcome | Current declaration | Source / cohort | Evidence | | --- | --- | --- | --- | --- | --- | --- | -| ae_gan_hold | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | MoGParticlePrior (sigma=0.025) | PASS | matches; source remains frozen | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | +| ae_gan_hold | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | MoGParticlePrior (sigma=0.025) | PASS | CHANGED; earlier contract | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | | ae_gan_hold | [BCAP dualnorm (experimental starting point)](../../configs/forge/ideas/recipe-prior-refactor-bcap-pure-v1.json) | MoGParticlePrior (sigma=0.025) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 8a6ee0b1c9ce | [source-bound receipt index](technique-inventory.json) | | ae_gan_hold | [BISPF](../../configs/forge/ideas/bispf-optimized-quintic-v1.json) | MoGParticlePrior (sigma=0.025) | PASS | CHANGED; earlier contract | cuda / d9d72d53761c / a5c1a7106c9f | [source-bound receipt index](technique-inventory.json) | | ae_gan_hold | [K3P](../../configs/forge/ideas/recipe-prior-refactor-k3p-v1.json) | MoGParticlePrior (sigma=0.025) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 3c8a0c05c790 | [source-bound receipt index](technique-inventory.json) | @@ -1893,14 +2051,73 @@ Related public-API demonstrations, with their own recorded contracts: ### Experiment: api-model-ddgan-bimodal-chain -Learn conditional reverse transitions and the final ancestral distribution through the public DDGAN API +Learn conditional reverse transitions and the final ancestral distribution through the public DDGAN API; explicitly scoped GPU0 research diagnostic of original gates, no ordinary qualification -Explanation, interpretation and reproduction: [experiment readout](api-model-toys/ddgan.md). +Explanation, interpretation and reproduction: [experiment readout](api-model-toys/ddgan.md), [experiment readout](ddgan-conditional-repair/README.md). -Forge declarations: [model_ddgan_bimodal_chain](../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +Forge declarations: [ddgan_repair_bimodal_chain_v1](../../configs/forge/tasks/ddgan_repair_bimodal_chain_v1.json), [ddgan_repair_bimodal_chain_wall_v2](../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json), [model_ddgan_bimodal_chain](../../configs/forge/tasks/model_ddgan_bimodal_chain.json). Declared Forge numerical gates and sampling: +[ddgan_repair_bimodal_chain_v1](../../configs/forge/tasks/ddgan_repair_bimodal_chain_v1.json), [ddgan_repair_bimodal_chain_wall_v2](../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json) + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +| Measurement | Declared condition | +| --- | --- | +| Prior | MoGParticlePrior (sigma=0.25) | +| Sampling law | task_model_kernel_and_posterior_without_serving_noise | +| Scoring weights | live | +| Evaluation output noise | clean | + [model_ddgan_bimodal_chain](../../configs/forge/tasks/model_ddgan_bimodal_chain.json) | Metric | Required bound | @@ -1970,14 +2187,68 @@ Related public-API demonstrations, with their own recorded contracts: ### Experiment: api-model-ddgan-gaussian-chain -Learn conditional reverse transitions and the final ancestral distribution through the public DDGAN API +Learn conditional reverse transitions and the final ancestral distribution through the public DDGAN API; explicitly scoped GPU0 research diagnostic of original gates, no ordinary qualification -Explanation, interpretation and reproduction: [experiment readout](api-model-toys/ddgan.md). +Explanation, interpretation and reproduction: [experiment readout](api-model-toys/ddgan.md), [experiment readout](ddgan-conditional-repair/README.md). -Forge declarations: [model_ddgan_gaussian_chain](../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +Forge declarations: [ddgan_repair_gaussian_chain_v1](../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json), [model_ddgan_gaussian_chain](../../configs/forge/tasks/model_ddgan_gaussian_chain.json). Declared Forge numerical gates and sampling: +[ddgan_repair_gaussian_chain_v1](../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json) + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +| Measurement | Declared condition | +| --- | --- | +| Prior | MoGParticlePrior (sigma=0.25) | +| Sampling law | task_model_kernel_and_posterior_without_serving_noise | +| Scoring weights | live | +| Evaluation output noise | clean | + [model_ddgan_gaussian_chain](../../configs/forge/tasks/model_ddgan_gaussian_chain.json) | Metric | Required bound | @@ -4212,6 +4483,52 @@ Related public-API demonstrations, with their own recorded contracts: | --- | --- | --- | --- | --- | --- | | [api-model-ae-reconstruction](../toy_audit/api_contract/model_modes/media/api-model-ae-reconstruction.gif) | Reconstruct four equally weighted noisy corner Gaussians with public deterministic particle-AE routing and bounded offsets; explicit reconstruction-only objective control. Scope: Four equally weighted Gaussians at (+/-1,+/-1), sigma=.08; independently drawn target and prior samples. Explicit reconstruction-only objective control; independent generation is measured but not required. | MoGParticlePrior (sigma_rel=0) | COMPLETE / PASS; 1200/1200 updates; recomputed complete live curve and terminal suffix | bispf / cpu / 1e57b5216ea3 | [definition](../toy_audit/api_contract/model_modes/publication.json); [readout](../toy_audit/api_contract/model_modes/publication.json); [recipe and provenance](../toy_audit/api_contract/model_modes/publication.json) | +### Experiment: model-misgan-four-mode + +Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass. + +Explanation, interpretation and reproduction: [experiment readout](misgan-bispf/README.md). + +Forge declarations: [model_misgan_four_mode](../../configs/forge/tasks/model_misgan_four_mode.json). + +Declared Forge numerical gates and sampling: + +[model_misgan_four_mode](../../configs/forge/tasks/model_misgan_four_mode.json) + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +| Measurement | Declared condition | +| --- | --- | +| Prior | MoGParticlePrior (sigma=0.025) | +| Sampling law | task_model_kernel_and_posterior_without_serving_noise | +| Scoring weights | live | +| Evaluation output noise | clean | + +No measured Forge outcome for these exact task IDs in the current solution publication. Consult the solution leaderboard for unknown requirements and capability blockers. + +Related public-API demonstrations, with their own recorded contracts: + +| Variant / actual-training GIF | What this variant tests | Recorded prior code path | Recorded result / failed bounds | Recipe / compute / source | Evidence | +| --- | --- | --- | --- | --- | --- | +| [api-model-misgan-four-mode](../toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif) | Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass. Scope: Explicit four-corner sigma=.08 target with a fixed Hadamard 8x2 lift. Same four block masks and masses as original MisGAN; sensor7 sees x+y, leaving two equally probable branches at zero. Original 100-mode MLP questions remain unchanged. Absolute task-owned MoG sigma=.025; relative calibration is bypassed. Recommended scoped recipe: bispf-misgan-transport-settle-v1 | MoGParticlePrior (sigma_rel=0) | COMPLETE / PASS; 1200/1200 updates | bispf / cuda:0 / d2b5cf8eba1f | [definition](../toy_audit/api_contract/misgan_bispf/publication.json); [readout](../toy_audit/api_contract/misgan_bispf/publication.json); [recipe and provenance](../toy_audit/api_contract/misgan_bispf/publication.json) | + ### Experiment: pacgan8-grid100 PacGAN m=8 packed discriminator on 100-mode 10x10 2D Gaussian grid (centers in {-9,-7,...,7,9}^2, sigma=0.05) testing high-order product-measure mode coverage and within-mode covariance preservation. @@ -5065,7 +5382,7 @@ Recorded Forge task outcomes (exact saved configuration/source/runtime): | Task | Configuration | Recorded prior code path | Recorded outcome | Current declaration | Source / cohort | Evidence | | --- | --- | --- | --- | --- | --- | --- | -| two_pole | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | ParticlePrior (sigma=0) | FAIL | matches; source remains frozen | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | +| two_pole | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | ParticlePrior (sigma=0) | FAIL | CHANGED; earlier contract | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | | two_pole | [BCAP dualnorm (experimental starting point)](../../configs/forge/ideas/recipe-prior-refactor-bcap-pure-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 8a6ee0b1c9ce | [source-bound receipt index](technique-inventory.json) | | two_pole | [BISPF](../../configs/forge/ideas/bispf-optimized-quintic-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / d9d72d53761c / a5c1a7106c9f | [source-bound receipt index](technique-inventory.json) | | two_pole | [K3P](../../configs/forge/ideas/recipe-prior-refactor-k3p-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 3c8a0c05c790 | [source-bound receipt index](technique-inventory.json) | @@ -5238,7 +5555,7 @@ Recorded Forge task outcomes (exact saved configuration/source/runtime): | Task | Configuration | Recorded prior code path | Recorded outcome | Current declaration | Source / cohort | Evidence | | --- | --- | --- | --- | --- | --- | --- | -| unused_token_hold | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | ParticlePrior (sigma=0) | PASS | matches; source remains frozen | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | +| unused_token_hold | [Atlas](../../configs/forge/ideas/atlas-particle-normal-v4.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / 6261a5458c1f / 767710fe7bd0 | [source-bound receipt index](technique-inventory.json) | | unused_token_hold | [BCAP dualnorm (experimental starting point)](../../configs/forge/ideas/recipe-prior-refactor-bcap-pure-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 8a6ee0b1c9ce | [source-bound receipt index](technique-inventory.json) | | unused_token_hold | [BISPF](../../configs/forge/ideas/bispf-optimized-quintic-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / d9d72d53761c / a5c1a7106c9f | [source-bound receipt index](technique-inventory.json) | | unused_token_hold | [K3P](../../configs/forge/ideas/recipe-prior-refactor-k3p-v1.json) | ParticlePrior (sigma=0) | PASS | CHANGED; earlier contract | cuda / a0493ca3c213 / 3c8a0c05c790 | [source-bound receipt index](technique-inventory.json) | @@ -5915,6 +6232,6 @@ The wider question review also links standalone experiments outside the Forge ti - [Later questions](../toy_audit/api_contract/recent_prs/README.md) - [Caption questions](../toy_audit/api_contract/caption_prs/README.md) -Declaration input digest: `c9f87d2a4aa4fdbe1e94a31c5c4ce24f437e0621de3e4accb1e028b8f8169a2e`. The JSON form includes the individual task and view file hashes. +Declaration input digest: `d5c25add036b4c7572d8bc52ed544ab412bd073f74070d49d950139654be3176`. The JSON form includes the individual task and view file hashes. -Published artifact input digest: `bef4eb1d7370ad106f9cb41f748c6d1dfc1fedfef4fc05e9882dfda82e811b48`. Artifact hashes and exact recipe/source/runtime bindings are included in the JSON form. +Published artifact input digest: `4a97f157d5ed1a2f04615beb113009a6f98aa0322f33c88577bcef32bbea4469`. Artifact hashes and exact recipe/source/runtime bindings are included in the JSON form. diff --git a/reports/forge/EXPERIMENT_MEMORY.md b/reports/forge/EXPERIMENT_MEMORY.md index 3c661fbe7..e1e9de9c6 100644 --- a/reports/forge/EXPERIMENT_MEMORY.md +++ b/reports/forge/EXPERIMENT_MEMORY.md @@ -2,7 +2,7 @@ Read the relevant prior evidence before declaring an idea. Historical outcomes retain their original scope. Published qualification and automation snapshots are retained without replaying unavailable originals. Compact publications enter recall as display-only summaries and grant no qualification. -Records: 886. Inventory coverage: complete. Unresolved import items: 7. +Records: 905. Inventory coverage: complete. Unresolved import items: 7. ## Goal views @@ -3976,6 +3976,22 @@ Smoothing 1e-4 repairs serial Gaussian acquisition and Ring16 passes in all four [Evidence](https://github.com/255BITS/ParticleGAN/blob/6d3d5b21144d85061fce6349b706e9c2800b0f96/reports/forge/smooth-polar-factorial/README.md) · [Record](records/pr344-smoothed-dualnorm-1e-4-context-v1.json) +### r1r2-saved-endpoint-diagnosis · r1r2-failure-diagnosis-20261022 + +**Scope:** saved_state_diagnostic; family_context; revision `a771841dd17bd8780c03f8ebb6e34b8dfe19bc94`. + +Saved public-API states and an independent software oracle distinguish R1/R2 implementation defects from density, schedule and categorical-retention failures without retraining. + +**Observed:** No normalized scientific verdict; wall seconds unknown; mechanism `frozen_state_force_and_implementation_audit`. + + + +No implementation defect or validated global recipe fix found. Original Ring16 failure is density quality despite all 16 modes. The strongest NS control has substantial critic gradients but its projected radial force contracts already narrow spread at both integration orders. Fixed-width MMD improves an output-space covariance derivative but worsens it after saved generator/prior and AMSGrad projection on both finite panels; it remains untrained. Selected word hold has 4/5 severely attenuated categorical atom gradients in float32 and float64 and no explicit reconstruction training loss. Independent G/D/learned-prior update oracle and adjacent suites: 110 tests pass. Original outcomes and the single current leaderboard remain unchanged. + +**Next:** Keep MMD deferred and stop the concluded optimizer/energy/prior-freeze revisions. Treat 6400-update schedule PASS as a distinct fragile diagnostic, not a 1600-update repair. A word logit-space reconstruction intervention is only a future explicit recipe hypothesis. Require a supported generator/optimizer-aware mechanism and a fresh bounded matched campaign before any global recipe replacement. + +[Evidence](../../reports/forge/r1r2-failure-diagnosis-20261022/README.md) · [Record](records/r1r2-failure-diagnosis-20261022.json) + ### r1r2-pr401-concluded-archive · r1r2-pr401-concluded-archive-v1 **Scope:** historical; family_context; revision `2cf7b0a4c796e29ace6cca12d2e553ad67211b5c`. @@ -3992,6 +4008,22 @@ All 34 complete measured revisions fail Ring16. Strongest complete repairs retai [Evidence](../../reports/forge/r1r2-concluded-archive/README.md) · [Record](records/r1r2-pr401-concluded-archive-v1.json) +### bispf-optimized-quintic-v1 · readout-01bff4a5f0a8f6d91bc51c65 + +**Scope:** research_diagnostic; scientific; revision `910c746cc18347ce72d108dcef81f283fc5f2efd2117fc6358f7b485ba172ae1`. + +A conditional energy score added to BISPF improves low-noise conditional-law calibration; the matched GPU0 selected-recipe control may retain the historical Gaussian failure. + +**Observed:** {'FAIL': 1, 'INCOMPLETE': 1}; wall seconds 1019.358; mechanism `structural`. + + + +MatchedGPU0 selected-recipe Gaussian completes2500updates and FAILS; bimodal is resource INCOMPLETE at600s. + +**Next:** Reuse complete Gaussian baseline exactly; finish separately registered1200s bimodal resource variant alongside the bounded global energy mobility repair. No unchanged Gaussian rerun or ordinary qualification. + +[Record and receipt provenance](records/readout-01bff4a5f0a8f6d91bc51c65.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### k3p-r1r2-matched-v1 · readout-0297c36f9f2d9c5feb45b3cb **Scope:** calibration_diagnostic; scientific; revision `3bff4e5835a30fd018893f3b3cb1b612c5ba28d39e62247b61b728b38987b85e`. @@ -4040,9 +4072,25 @@ Learned-MoG vector_two_broad PASS after exactly one registered operational cance [Record and receipt provenance](records/readout-060e7be73e2832e314b9573f.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### r1r2-repair-control-20261022 · readout-0c965d99d82ddcae5d1d8d5a + +**Scope:** current; scientific; revision `3cca6de5d931b16469b0ef0fedbc0b5cb21f55b8af202a7868e94277fcef2037`. + +The exact archived stronger global R1/R2 reference retains its prior observed ordinary passes and still exposes the unresolved Ring16 density failure under one fresh matched source/runtime. This new-source operational repair fixes snapshot provider dependencies, preserves original runtime errors and routes the already-declared tanh evaluator; all original scientific gates and recipe values remain unchanged. + +**Observed:** {'FAIL': 3, 'PASS': 11}; wall seconds 495.821; mechanism `structural`. + +ae_gan_hold: recon_mse=0.0068211; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Complete unchanged current Tier1: 10/13 required PASS, 3 FAIL; separate clock PASS. Ring16, DDGAN Gaussian and AE-DDGAN Gaussian fail. The stronger NS/AMSGrad control reproduces its archived Ring endpoint and does not qualify globally. + +**Next:** Retain R2 and the selected historical recipe; no ordinary Tier2 or default promotion. Finish separately scoped own-checkpoint word hold, publish all failures, and require a demonstrated density-force/conditional-tracking prerequisite before another global candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-0c965d99d82ddcae5d1d8d5a.json) + ### recipe-prior-refactor-bcap-pure-v1 · readout-0df182292d888440f5fb32ce -**Scope:** current; scientific; revision `3b5047770feb0fffb166a6a6f7aea02749cb69f2d2aa018374cd0d1100959872`. +**Scope:** current; scientific; revision `21fce6ca73c85eb35e4f58b73c17e05db60619759947cca48fbb1df01d9c6237`. Ordinary re-qualification of the unchanged selected bcap-pure recipe (recipe-prior-refactor-bcap-pure-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -4090,7 +4138,7 @@ The single global quintic convolution-rule delta preserves all 19 incumbent BISP ### bispf-optimized-quintic-v1 · readout-143d85d4540548b0ecec1604 -**Scope:** current; scientific; revision `564199402b930f49e6c8862c7cd09f9198575aa32a5c35f4ea5289901f143d59`. +**Scope:** current; scientific; revision `6db8151c1a987602f94a8b9e854b003b7176fec3c3039cde07679d8960ae9c1b`. Ordinary re-qualification of the unchanged selected bispf recipe (bispf-optimized-quintic-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -4120,6 +4168,22 @@ Corrected-source smoke matrix: two_pole FAIL, unused_token_hold FAIL, ae_gan_hol [Record and receipt provenance](records/readout-15e86dd160a1d64a04ceee04.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### r1r2-repair-r1cycle-20261022 · readout-15fd8ba9f7b947395f31c418 + +**Scope:** research_diagnostic; scientific; revision `de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421`. + +This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification. + +**Observed:** {'PASS': 2}; wall seconds 154.319; mechanism `structural`. + +five_word_joint_hold: modes=5, mass_tv=0.020898; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update834, endpoint minimum token probability0.9999691247940063. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates. + +**Next:** Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-15fd8ba9f7b947395f31c418.json) + ### k3p-a2-off-native-diagnostic · readout-170dc0a68d5b68737b370a5f **Scope:** current; scientific; revision `b5ae40d1428d03591c42cb5cddb8adea5042caaa34c8ea2b131565c0ccca72e9`. @@ -4136,6 +4200,22 @@ This technique failed the full 80-update two_pole smoke gate: {'grad_med': 0.063 [Evidence](../../reports/forge/technique-receipts/b86f62c3e4f84a43b85d366e4cc43824.json) · [Record](records/readout-170dc0a68d5b68737b370a5f.json) +### bispf-optimized-quintic-v1 · readout-1858b3294015f9149e7fcb9d + +**Scope:** research_diagnostic; scientific; revision `a2bdf3d01a3c507b273d49bdefa1bf0707963aed72d1ed10fcca32bf82e4cf6d`. + +Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls. + +**Observed:** {'FAIL': 1}; wall seconds 610.433; mechanism `structural`. + +model_misgan_four_mode: modes=4, hq=0.99658, mass_tv=0.24414 + +Full scoped four-mode run completed1200updates/24checks and FAILed all5terminal complete gates. Endpoint generatorHQ=0.996582, massTV=0.244141, ambiguousHQ=0.993164, branchTV=0.044678. Preserve every terminal failed bound; no ordinary or historical100-mode pass credit. + +**Next:** Stop this exact revision. The sole bounded composite masked-quantile transport plus cosine-settling followup changes the failed mass/settling mechanisms while keeping the frozen task, initializer, prior, sampling and1200update protocol. + +[Record and receipt provenance](records/readout-1858b3294015f9149e7fcb9d.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### bispf-optimized-quintic-v1 · readout-1d42b97bbb8f1366a766a233 **Scope:** current; scientific; revision `97cff463de780cdb270a5cb968799379fe2eef3bbad671fd59df0c3d9515eeb0`. @@ -4200,6 +4280,22 @@ This technique failed the full 80-update two_pole smoke gate: {'grad_med': 1.254 [Evidence](../../reports/forge/technique-receipts/33bc62d63509425e9f7237ef19ee7374.json) · [Record](records/readout-28f0c9140b4cfeef57f23dd2.json) +### r1r2-repair-control-20261022 · readout-2b96c09667e7a4aef944ce96 + +**Scope:** research_diagnostic; scientific; revision `3cca6de5d931b16469b0ef0fedbc0b5cb21f55b8af202a7868e94277fcef2037`. + +This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification. + +**Observed:** {'PASS': 2}; wall seconds 158.69; mechanism `structural`. + +five_word_joint_hold: modes=5, mass_tv=0.020898; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update834, endpoint minimum token probability0.9979230761528015. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates. + +**Next:** Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-2b96c09667e7a4aef944ce96.json) + ### k3p · readout-2c2eb24207b627b2ad26ea18 **Scope:** calibration_diagnostic; scientific; revision `5e4a04632539a2ae1fa6d021e54f2ab5172245e7a028c795d45bfff9c2284426`. @@ -4264,9 +4360,25 @@ Native BISPF on the two explicitly wider architecture-portability hosts passes s [Record and receipt provenance](records/readout-3721266a32807c156725dfc8.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### r1r2-repair-r1cycle-20261022 · readout-39165e761d4e5ea74a5a67d1 + +**Scope:** current; scientific; revision `de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421`. + +The single global R1-only plus explicit joint inverse reconstruction recipe repairs the unchanged Ring16 gate through its R1 critic change while retaining confident paired word acquisition with a stable raw-logit inverse signal and every other required Tier1 pass. This new-source operational repair fixes snapshot provider dependencies, preserves original runtime errors and routes the already-declared tanh evaluator; all original scientific gates and recipe values remain unchanged. + +**Observed:** {'FAIL': 4, 'PASS': 10}; wall seconds 379.634; mechanism `structural`. + +ae_gan_hold: recon_mse=0.0084931; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Word confidence signature observed, but global repair hypothesis fails: 9/13 required PASS, 4 FAIL; separate clock PASS. Word first confirmation returns to 834 and endpoint minimum token probability rises to .9999932051. All nonword numerical trajectories match R1-only; Ring, DDGAN, AE-DDGAN and AE-GAN failures remain. + +**Next:** Retain R2 and the selected historical recipe; no ordinary Tier2 or default promotion. Finish separately scoped own-checkpoint word hold, publish all failures, and require a demonstrated density-force/conditional-tracking prerequisite before another global candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-39165e761d4e5ea74a5a67d1.json) + ### recipe-prior-refactor-release07-gan-v3-v1 · readout-3bd45e331f5dd03701da2700 -**Scope:** current; scientific; revision `244bb5cd81ed6928c26c52dd98cc95a3cfdb69fc50264972df52e291d6f4ef40`. +**Scope:** current; scientific; revision `5e8301e5d868022f59e92f0e0c0e67348bdebd00d372ace75f998abe7d469fad`. Ordinary re-qualification of the unchanged selected release07-gan-v3 recipe (recipe-prior-refactor-release07-gan-v3-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -4408,6 +4520,22 @@ Stop this numerical-backend revision: graph acceleration improves the 64-pixel p [Record and receipt provenance](records/readout-47d84c98f42853a07d20becb.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-vaegan-settle-v1 · readout-4a3861ac6f4b3a836975d087 + +**Scope:** research_diagnostic; scientific; revision `15cec064bfab5931854da2b176eb21f34230e1508407767ad76ab3f2fc721660`. + +A single global finite-budget cosine settling schedule repairs both unchanged VAEGAN tasks after transport-only failed; retain all adversarial, reconstruction and latent regularization objectives. This schedule comparison does not prove transport necessary. + +**Observed:** {'PASS': 2}; wall seconds 445.906; mechanism `floor_constant`. + + + +One global BISPF transport-plus-cosine-settling recipe passes both full1200-update VAEGAN tasks and all5 terminal checks, with hard/categorical passing suffixes6/9. Actual KL, input-dependent reconstruction and both independent sampling laws satisfy every unchanged bound. + +**Next:** Stop after6runs, retain all4 failures and2 passes. Recommend this recipe for these two declared toys; next separate causal question is schedule-only without transport. No extra seed run, continuation or promotion. + +[Record and receipt provenance](records/readout-4a3861ac6f4b3a836975d087.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### k3p · readout-4bd94051f203bbbb28a3e7a6 **Scope:** current; scientific; revision `87d849138dd0ae385260a77223e9a70a7c2a8a112733b2312f556b462cc164e9`. @@ -4586,7 +4714,7 @@ Fresh N(0,I) latent: 5 PASS / 10 FAIL on the 15 supported sampled-MoG tests (33 ### recipe-prior-refactor-r1r2-v1 · readout-613fc91cba03a8c327465202 -**Scope:** current; scientific; revision `84e53bb16442a6a3d3148e2eb9a95ea59692559fc1352218ee112f2dc40b6615`. +**Scope:** current; scientific; revision `8a77a5bd4e1f8f1c74bb516bb749e37a3170c8a80ed84cf0924d59b0b0d04bb6`. Ordinary re-qualification of the unchanged selected r1r2 recipe (recipe-prior-refactor-r1r2-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -4648,6 +4776,22 @@ This technique failed the full 80-update two_pole smoke gate: {'grad_med': 0.130 [Evidence](../../reports/forge/technique-receipts/813505867f5348bfbe113791d78ce0c5.json) · [Record](records/readout-6c0c2c5c6610ecfe73fe315d.json) +### bispf-ddgan-energy-unconstrained-v3 · readout-6d9c721048b23e3d6b55e971 + +**Scope:** research_diagnostic; scientific; revision `6f3641b574a34f3ac199275ce9a2d9a44cc5fb77f281e583777be601c73221b4`. + +Removing per-objective direction blending from the same low-mobility summed GAN/energy objective repairs low-noise conditional calibration while preserving the Gaussian marginal stability and genuine adversarial game. + +**Observed:** {'FAIL': 2}; wall seconds 739.185; mechanism `structural`. + + + +Both complete DDGAN tasks FAIL after the final registered one-field repair. Seven full-budget failures and two resource-incomplete attempts conclude the three-round campaign; no global recipe passes either strict task. + +**Next:** Stop all exact revisions with zero ordinary qualification. Retain generation-only subgate gains and complete failures. A future explicitly scoped timestep-conditioning/capacity architecture cohort needs matched controls and unchanged scientific gates; current results do not prove a capacity limit or authorize another seed/rate trial. + +[Record and receipt provenance](records/readout-6d9c721048b23e3d6b55e971.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### bispf-v2 · readout-7450f3d30d639bad8e4f25e5 **Scope:** research_diagnostic; scientific; revision `e558bd3a50a3746df01baaf4759aaae09b48f465012d157796b76602cd2ce2e0`. @@ -4792,6 +4936,22 @@ This exact global configuration failed the first two_pole movement gate. Tier1 i [Record and receipt provenance](records/readout-813a2ad71ca3580b4a8d46c1.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-misgan-observed-v1 · readout-8287ac80f671694274d99b8a + +**Scope:** research_diagnostic; scientific; revision `5a3af62f0de5000d2215894277efb258ab83653b8621a86dacaadb2aef11624c`. + +Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls. + +**Observed:** {'FAIL': 1}; wall seconds 621.916; mechanism `structural`. + +model_misgan_four_mode: modes=4, hq=0.99854, mass_tv=0.16968 + +Full scoped four-mode run completed1200updates/24checks and FAILed all5terminal complete gates. Endpoint generatorHQ=0.998535, massTV=0.169678, ambiguousHQ=0.986084, branchTV=0.087891. Preserve every terminal failed bound; no ordinary or historical100-mode pass credit. + +**Next:** Stop this exact revision. The sole bounded composite masked-quantile transport plus cosine-settling followup changes the failed mass/settling mechanisms while keeping the frozen task, initializer, prior, sampling and1200update protocol. + +[Record and receipt provenance](records/readout-8287ac80f671694274d99b8a.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### atlas-particle-normal-v4 · readout-828f21ff6556847d8f000678 **Scope:** research_diagnostic; scientific; revision `79e308b48506dccbf888516575643268a7499751b98b7d9802fbf7c56b2ad186`. @@ -5000,6 +5160,22 @@ Atlas particle-normal prior replication study executed in research_diagnostic sc [Record and receipt provenance](records/readout-9f0d62f87d1ff351cfef7f98.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-optimized-quintic-v1 · readout-a324737f266da9156ed6ed2f + +**Scope:** research_diagnostic; scientific; revision `910c746cc18347ce72d108dcef81f283fc5f2efd2117fc6358f7b485ba172ae1`. + +A globally smaller normalized learning rate with positive cosine terminal floors stabilizes conditional-energy DDGAN calibration while preserving its stochastic distribution objective and genuine adversarial game. + +**Observed:** {'FAIL': 2}; wall seconds 1134.834; mechanism `structural`. + + + +The matchedGPU0 baseline bimodal completed all5000updates and FAILS its original conditional, marginal, local mean/spread and terminal-window gates. The Gaussian baseline was reused exactly without another paid run. + +**Next:** Retain this complete matched baseline and both original600s incomplete attempts. Compare the registered final one-field objective-geometry recipe on unchanged full tasks; no baseline rerun, gate relaxation or qualification. + +[Record and receipt provenance](records/readout-a324737f266da9156ed6ed2f.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### recipe-prior-refactor-release07-gan-v3-v1 · readout-a3ec7ffcdaaf0f88b4171cec **Scope:** current; scientific; revision `bb975f7fe7f68c1e638cf5a36973a125d34fe4285aad773056e4b969fdf6cecc`. @@ -5016,6 +5192,22 @@ Ordinary discriminator_stability revision-14 re-qualification reproduces all 7 c [Record and receipt provenance](records/readout-a3ec7ffcdaaf0f88b4171cec.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-optimized-quintic-v1 · readout-a66096228357c6881cb90290 + +**Scope:** research_diagnostic; scientific; revision `4b199ad28279ef9616e67ebc460824f614dc141a7f00ca739993218fc5635ae6`. + +One global projected transport auxiliary repairs sustained independent-prior generation in hard VAEGAN while retaining the categorical positive reference; measure an exact matched CUDA baseline before causal comparison. + +**Observed:** {'FAIL': 2}; wall seconds 452.695; mechanism `structural`. + + + +Matched CUDA VAEGAN baseline completes both1200-update tasks but fails sustained gates: hard2/5 and categorical3/5 terminal checks; both endpoints pass. + +**Next:** Retain this baseline, compare only bounded registered substantive repairs, and confer no ordinary qualification or default credit. + +[Record and receipt provenance](records/readout-a66096228357c6881cb90290.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### k3p--01eca360219ea5225a6e30a31800c7bbe70ca08c3800e259c17a67f0ea528ab5 · readout-a91dbccf086504f9accaee6b **Scope:** research_diagnostic; scientific; revision `3041a40a01932d40c304875add3e4e2689f4e535636861f3319a1a1f6792c402`. @@ -5112,6 +5304,22 @@ The released v0.7 task adaptation passes preflight for all24 ordinary requiremen [Evidence](../../reports/forge/technique-receipts/df1794ebea6444c5a10c2a953843257d.json) · [Record](records/readout-afd6d27c7d1eae64aa13299f.json) +### bispf-vaegan-transport-v1 · readout-b194dccb65688ca056129011 + +**Scope:** research_diagnostic; scientific; revision `0612a7116b3d77a9724d9e6286115a6bebf369d011f4ca85e592d5a8d337b306`. + +One global projected transport auxiliary repairs sustained independent-prior generation in hard VAEGAN while retaining the categorical positive reference; measure an exact matched CUDA baseline before causal comparison. + +**Observed:** {'FAIL': 2}; wall seconds 468.822; mechanism `structural`. + + + +Transport alone fails both unchanged VAEGAN tasks with0/5 terminal passing checks; final likelihoodHQ hard.8191/categorical.6858. Reconstruction stays informative but independent generation degrades. + +**Next:** Stop this exact revision; keep failure in the current comparison. Its separately frozen finite-budget settling successor is measured without changing gates, source, initialization or data. + +[Record and receipt provenance](records/readout-b194dccb65688ca056129011.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### k3p-global-repair-v1 · readout-b214c23e088f39337c3d8784 **Scope:** current; scientific; revision `9bc3da4de808300aaa74effda23f1114910ce2c819bda3fcd579bb8b6d5f5e8e`. @@ -5130,7 +5338,7 @@ Ordinary global candidate failed two_pole movement: mean_abs=0.0468712635<0.3; q ### atlas-particle-normal-v4 · readout-b389e250ac5b3ad0763d2c82 -**Scope:** current; scientific; revision `067f29bc52d5b02a768f6cc3063bb66784030104abcb66f7891d6b31491b8f92`. +**Scope:** current; scientific; revision `3e568ed2213479cc8bbd8844796ab6f0ca4c804fa846e627563b06f556001089`. Ordinary discriminator_stability measurement of atlas-particle-normal-v4 (particles + NormalNoiseManipulator(sigma=0.0065), birth_death_cells=256, clean fixed output noise 0.0, d_guard_ratio=0.0, KA2 pre-anchor critic-only LossSurprise guard) under protocol seed 0 on NVIDIA RTX A6000 completes every required Tier 1 cell cleanly and reproduces its 11/13 required Tier 1 passes (plus clockfree_audit_measurement_v1 diagnostic PASS) for selection as the Atlas family candidate. @@ -5224,6 +5432,22 @@ The corrected Modern GAN Stacked MNIST training recipe, adapted to the fixed For [Evidence](../../reports/forge/technique-receipts/ea66e44192c048eaa97f8595c5e55508.json) · [Record](records/readout-bc440d0469187c9299bd524c.json) +### bispf-misgan-amortized-v1 · readout-c21940571fd7349e5f2a9c1b + +**Scope:** research_diagnostic; scientific; revision `43489bc17bc07057ac6f5b53d3368f30827498bd4b1415badfcbff0202fc519e`. + +Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls. + +**Observed:** {'FAIL': 1}; wall seconds 615.736; mechanism `structural`. + +model_misgan_four_mode: modes=4, hq=0.99463, mass_tv=0.16968 + +Full scoped four-mode run completed1200updates/24checks and FAILed all5terminal complete gates. Endpoint generatorHQ=0.994629, massTV=0.169678, ambiguousHQ=0.982666, branchTV=0.143311. Preserve every terminal failed bound; no ordinary or historical100-mode pass credit. + +**Next:** Stop this exact revision. The sole bounded composite masked-quantile transport plus cosine-settling followup changes the failed mass/settling mechanisms while keeping the frozen task, initializer, prior, sampling and1200update protocol. + +[Record and receipt provenance](records/readout-c21940571fd7349e5f2a9c1b.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### bispf-v2 · readout-c2d279f7d47ac009ee80d771 **Scope:** current; scientific; revision `96f0f8a2aee0663f0fe92e49641deb107b81201ae0efea33d9a54e24aaba8967`. @@ -5288,6 +5512,38 @@ All three registered smoke cells completed at the frozen current cohort: two_pol [Record and receipt provenance](records/readout-c723a88e5122f97011aabad9.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-ddgan-energy-v1 · readout-c7a4fe6fbfe14b4e43558471 + +**Scope:** research_diagnostic; scientific; revision `0179185c13fe852b4c1d86796abef1850412345fbe26aa96b4fcf234e470ff5b`. + +A conditional energy score added to BISPF improves low-noise conditional-law calibration; the matched GPU0 selected-recipe control may retain the historical Gaussian failure. + +**Observed:** {'FAIL': 1, 'INCOMPLETE': 1}; wall seconds 1090.469; mechanism `structural`. + + + +Gaussian completed2500updates and FAILS all-gate terminal stability despite endpointCDF improvement; bimodal timed out before5000updates and remains INCOMPLETE. + +**Next:** Stop exact revision; execute registered lower-mobility positive-floor energy repair on unchanged scientific tasks, with timeout-only1200s bimodal variant and exact complete Gaussian baseline reuse. No ordinary qualification or default adoption. + +[Record and receipt provenance](records/readout-c7a4fe6fbfe14b4e43558471.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + +### r1r2-repair-r1only-20261022 · readout-cd109ec1175f5a26582f9968 + +**Scope:** current; scientific; revision `704c803e0c8bf425e1c0cd673b77e0332278cd8163ca9058a95c50a2f00fbdab`. + +Removing only R2 fake-input gradient pressure repairs the unchanged Ring16 local-density gate while retaining every other required Tier1 gate with one global native R1 recipe. This new-source operational repair fixes snapshot provider dependencies, preserves original runtime errors and routes the already-declared tanh evaluator; all original scientific gates and recipe values remain unchanged. + +**Observed:** {'FAIL': 4, 'PASS': 10}; wall seconds 487.193; mechanism `structural`. + +ae_gan_hold: recon_mse=0.0084931; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Hypothesis falsified: 9/13 required PASS, 4 FAIL; separate clock PASS. Ring covariance worsens to 3.00038088113 and mass TV .1591796875 fails, despite minimum spread improving to .25259119. DDGAN worsens and multimodal AE-GAN generation regresses. Reject R2 removal as a global repair. + +**Next:** Retain R2 and the selected historical recipe; no ordinary Tier2 or default promotion. Finish separately scoped own-checkpoint word hold, publish all failures, and require a demonstrated density-force/conditional-tracking prerequisite before another global candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-cd109ec1175f5a26582f9968.json) + ### bispf-throughput-v1 · readout-cd9493a6a30096475d381175 **Scope:** research_diagnostic; scientific; revision `5519ffc77cf0cfd46928ca25fbbf29efb9a642d8da333482419f4c9af3a4300d`. @@ -5320,6 +5576,22 @@ Ordinary discriminator_stability revision-14 re-qualification reproduces all 7 c [Record and receipt provenance](records/readout-d278a74af331d2f3b7807234.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-misgan-transport-settle-v1 · readout-d57833ecdafd9cda119fefb6 + +**Scope:** research_diagnostic; scientific; revision `4361bc72b78e2e5cd1fe28820e168a71edf24dcce81f08516986a8666c04c04e`. + +The declared composite observed-mass transport and cosine-settling repair passes all twelve unchanged MisGAN recovery and neural posterior bounds for all five terminal checks. + +**Observed:** {'PASS': 1}; wall seconds 447.389; mechanism `structural`. + +model_misgan_four_mode: modes=4, hq=0.98901, mass_tv=0.093994 + +PASS on the scoped four-mode MisGAN task: 1,200 updates, 24 post-update evaluations and all five terminal checks pass every unchanged bound. Endpoint mass TV 0.093994, generator HQ 0.989014, ambiguous HQ 0.937256, branch TV 0.078125, branch coverage 1.000000, imputation accuracy 0.972656, observed error 0.0. All mechanism/optimizer/RNG guards pass. No ordinary, original 100-mode, or within-mode covariance qualification. + +**Next:** Stop the bounded campaign and retain all failures. Recommend this one complete scoped recipe for review; investigate the same mechanisms on a separately declared larger incomplete-data target before attempting unchanged 100-mode qualification. No seed experiment or automatic default promotion. + +[Record and receipt provenance](records/readout-d57833ecdafd9cda119fefb6.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### release07-gan-v3-mog-v1 · readout-d5a99d9470252f695a717dfc **Scope:** calibration_diagnostic; scientific; revision `a9b2aa0ace96762b024a30c0979a0eedce8d07f9fae5cb5dc03868522132962c`. @@ -5416,6 +5688,22 @@ Both800-update diagnostics FAIL movement: original-schedule .0896976665 and stre [Record and receipt provenance](records/readout-dd6ff59094d1d766c5b0fe2b.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. +### bispf-ddgan-energy-annealed-v2 · readout-e2e0ab5b4a57b6aae957eec4 + +**Scope:** research_diagnostic; scientific; revision `ae4202e9b9ea41b2007a5b37e81e695839718df0206bba202660de2124b8c8ef`. + +A globally smaller normalized learning rate with positive cosine terminal floors stabilizes conditional-energy DDGAN calibration while preserving its stochastic distribution objective and genuine adversarial game. + +**Observed:** {'FAIL': 2}; wall seconds 1228.839; mechanism `floor_constant`. + + + +Both full-budget DDGAN tasks remain FAIL. Gaussian passes all5 final marginal checks but retains fixed t1_q0 conditional errors. Bimodal improves marginal/mode means but fails local spread/HQ and conditional terminal gates. + +**Next:** Execute the already registered final one-field objective-geometry diagnostic: constraint_geometry_mode direction_blend to none, preserving the same summed GAN/energy/SBNP objectives, coefficients, rates, scientific source, all gates, fixed queries and complete budgets. No ordinary qualification or automatic continuation. + +[Record and receipt provenance](records/readout-e2e0ab5b4a57b6aae957eec4.json) · [Original artifact retrieval](../../docs/forge-artifact-resolver.md). Original receipt availability is separate from this record. + ### ka2--4496b859e066d7a4b6279f2d34fbd58d083e0f18c2a22ade5ba12c964d01a7ca · readout-e3ab30a3f7ae4a6debe66e5d **Scope:** current; scientific; revision `0cb6ee2042006b122ef7c2c91b9ecdc74b703aa8ee51ac3e36a5164abde58a98`. @@ -5448,9 +5736,25 @@ All six finite-update DCGAN performance tasks PASS. Observed speedups versus mat [Evidence](../../reports/forge/bispf-throughput/README.md) · [Record](records/readout-e5cf5311e83c25cc0b333270.json) +### r1r2-repair-r1only-20261022 · readout-e610d5af4bac226eabe47dcb + +**Scope:** research_diagnostic; scientific; revision `704c803e0c8bf425e1c0cd673b77e0332278cd8163ca9058a95c50a2f00fbdab`. + +This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification. + +**Observed:** {'PASS': 2}; wall seconds 141.642; mechanism `structural`. + +five_word_joint_hold: modes=5, mass_tv=0.03457; five_word_joint_smoke: modes=5, mass_tv=0.018945 + +Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update1667, endpoint minimum token probability0.9974690675735474. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates. + +**Next:** Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate. + +[Evidence](../../reports/forge/r1r2-repair-20261022/README.md) · [Record](records/readout-e610d5af4bac226eabe47dcb.json) + ### recipe-prior-refactor-k3p-v1 · readout-e6cf768866c160ba1338f662 -**Scope:** current; scientific; revision `57b4e63e98b96380eec30e9c00f9c37ada38fb4b63253b85ba8e2b1bf5c52e79`. +**Scope:** current; scientific; revision `e3680ce98264605af83a69b7600141a633a7c42c93d95c50bc4ce762bc2c0acc`. Ordinary re-qualification of the unchanged selected k3p recipe (recipe-prior-refactor-k3p-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -5578,7 +5882,7 @@ Raising birth_death_cells from 128 to 256 (eliminating noisy 2-particle-per-cell ### recipe-prior-refactor-ka2-v1 · readout-efc9b823a6b391bc25754f9a -**Scope:** current; scientific; revision `416d61c9326d47f2683cf060b6cf7d895d0a2eaac440dc93f134016f5a014604`. +**Scope:** current; scientific; revision `344ea72637958be757f2e3ac043897a54cfa68667e05bf1a116397effc02a93e`. Ordinary re-qualification of the unchanged selected ka2 recipe (recipe-prior-refactor-ka2-v1) on current develop source 2e8a97a0aa84 under protocol seed 0 on NVIDIA RTX A6000 records current-source discriminator_stability and shared Tier 1 goal-view verdicts. @@ -6326,4 +6630,4 @@ These study and trial projections preserve recorded outcomes, unknowns and sourc ## Compilation provenance -Reducer `forge-knowledge-v2`; input digest `a9466a7d75861ef5322859077791b92ec3253a36244199942321ac6184c53132`. [Full input hashes and coverage](compilation.json). No training or image inspection occurs during compilation. +Reducer `forge-knowledge-v2`; input digest `c3c2fbb35d9943c1bcb344903a1357877990de768d018891fc3623796b37a8a3`. [Full input hashes and coverage](compilation.json). No training or image inspection occurs during compilation. diff --git a/reports/forge/compilation.json b/reports/forge/compilation.json index d0bc550c7..39a6f7349 100644 --- a/reports/forge/compilation.json +++ b/reports/forge/compilation.json @@ -2,7 +2,7 @@ "automation_digest": "49a96b59e9f3c4ce6910d091d0e0023e528cf467bbb80c829cac547a5bc9978b", "conflicts": [], "import_gap_count": 7, - "input_digest": "a9466a7d75861ef5322859077791b92ec3253a36244199942321ac6184c53132", + "input_digest": "c3c2fbb35d9943c1bcb344903a1357877990de768d018891fc3623796b37a8a3", "input_hashes": { "configs/forge/cadence-studies/bispf-lazy-cadence-v1.json": "fc7302ac06b61fa093a39265d440545fdab176852a588c40b750be16adc1e58b", "configs/forge/calibration-lane-template.json": "65f10d3061aa487bb32da43bb97cb91934a25d763f6bb634f1d3316fdcc6d9e5", @@ -665,6 +665,12 @@ "configs/forge/ideas/bcap-tier1-stability-repairs-cap-margin-v1.json": "eb6b5b0adec84d5acb247d62b516fe3f288633a41118ce08f3edeba8a505b400", "configs/forge/ideas/bcap-tier1-stability-repairs-finite-cap-v1.json": "90cb1fe352df267f920541e4df90c1b3d90c01cabe8b86873ec4f1410c07f95f", "configs/forge/ideas/bcap-tier1-stability-transport-v1.json": "1eb7806d4d46abec2bf30fb31775a876d81c4ce2adf25ab418119b1029b4cc25", + "configs/forge/ideas/bispf-ddgan-energy-annealed-v2.json": "d48a72b9b90f85ba879c6dee42f7948223f3f547167f784a4b95c6e09c96b53b", + "configs/forge/ideas/bispf-ddgan-energy-unconstrained-v3.json": "db90fc8cc0a95756d4e77fbe226a0741bf014085414d31da13f0ac023e8b20bf", + "configs/forge/ideas/bispf-ddgan-energy-v1.json": "3bc25fcabd8e47d6d53674731159bb58a936f1b7a1d5125ca47b7767e2b5190a", + "configs/forge/ideas/bispf-misgan-amortized-v1.json": "4205a68fafb7384f7a01a292f78452e2a75552d9d92ff8f327d2430345db1659", + "configs/forge/ideas/bispf-misgan-observed-v1.json": "9ed2c1883284862564c22d3b0a2b671795b2c007fbaad5ec63596f03431eed61", + "configs/forge/ideas/bispf-misgan-transport-settle-v1.json": "994e9b4ab81e77e5db6e5ca9b4a617be5e0f1e7e4b26949b2e7149164924eaee", "configs/forge/ideas/bispf-optimized-frobenius-v1.json": "b26b55d99f5c55558caf62a4739b9dc9e697f34ea8ca8e5e9236fb9aac315e42", "configs/forge/ideas/bispf-optimized-quintic-v1.json": "3ad87a68c7cff8d49016548aecb51b54215545e065efdcadb5d540d27a707458", "configs/forge/ideas/bispf-optimized-v1.json": "d9e2a8ec95d017a4bd6ef6e58847989fddff6df43974d3eb6bf70318cdfbc981", @@ -676,6 +682,8 @@ "configs/forge/ideas/bispf-throughput-v1.json": "0795a2d34c63d2b917b53df55f421e6351a02d90b3531fc9e5e5f1fbe6b2ad34", "configs/forge/ideas/bispf-v1.json": "7512d181ef65c5b636cc77e9324600e88d26c0532ecba6baf3ec426381aaafb5", "configs/forge/ideas/bispf-v2.json": "0cf5ae7d3bb048d93ec477eebe7f6d6d2089591f6d964e76b974dee9551cdd63", + "configs/forge/ideas/bispf-vaegan-settle-v1.json": "6c9b4b516045954408b248b8c0b7a9523b21a26d519d8e9efb213772f19b4b79", + "configs/forge/ideas/bispf-vaegan-transport-v1.json": "af2cefcaacd69e2bc25d234e4da42fa1909add6b2774b3e6ebbb088c9eb495d3", "configs/forge/ideas/e22.json": "434aac4241443ad51ccac2e3e6d620eba9e8131336ca66d1e157b9b1937aaad0", "configs/forge/ideas/five-word-joint-ka2-v1.json": "f2cd3809340d8aece6cb24ecde8eb863061ad290de5aa09f4fc66c73bb984118", "configs/forge/ideas/forge-no-critic-penalty.json": "886040c69e790fea2dbe9b2457ff174b9518e1821af581b148f4df3a7886eb1f", @@ -691,6 +699,9 @@ "configs/forge/ideas/ka2-global-repair-v1.json": "c2cbdbfcb068c16b637b33a385889b847905bdc3f4507b879cfe1e0bb61f01ab", "configs/forge/ideas/ka2.json": "bafc216a39aea2453241a01a6bd3b12e4b2d0b516a5f96601e1cbcd7bfebc09c", "configs/forge/ideas/r1r2-global-repair-v1.json": "85af1689b8c2e33f5462b7787c5305452ccdc3841a79ae5de025322521039add", + "configs/forge/ideas/r1r2-repair-control-20261022.json": "065bd8d9f86220439e2702c56018cc191291c71a9e5c535889bb39b4d573f11a", + "configs/forge/ideas/r1r2-repair-r1cycle-20261022.json": "a88dbdc698e621b54d8530bf8cdb454de43048064e80ff61176ce8f1dd17b2af", + "configs/forge/ideas/r1r2-repair-r1only-20261022.json": "a2d31e8d831acd50618e515ec4bebcfd2811436554734cc05525b8c5d3f3cac1", "configs/forge/ideas/r3gan-stacked-training-toy-v1.json": "aa695486c643018f66c6d843cb346b48b0b929efaeb99d0439142b4e4ca991d0", "configs/forge/ideas/recipe-prior-refactor-bcap-pure-v1.json": "b59551e744d082dfd7bb016a9408dffe26bdf93889d85780fa49fb05096fabbb", "configs/forge/ideas/recipe-prior-refactor-k3p-v1.json": "debf168d57b695c7ea49762478a0714336ca7e41a305e88d77e423661a16a04d", @@ -964,6 +975,21 @@ "configs/forge/studies/dcgan-performance-cloud-v2-ka2.json": "74d2ad486cc921c0df8514f86ac0a134c55c715c047764d19696e3072d63265a", "configs/forge/studies/dcgan-performance-cloud-v2-r1r2.json": "1b01a42e7561271795e0349e9d2972a222a564c801f3ea22574e636d80cf9664", "configs/forge/studies/dcgan-performance-cloud-v2-release07-gan-v3.json": "63c171c41dae294fbb20694dd2710a282dead58b4d392a69a41a9eae727888c3", + "configs/forge/studies/ddgan-repair-annealed-r2.json": "db18ce8fc7c0535e4ec09e391f1b346d6cf3a6ec63c4394aed2e4f3aae0d574a", + "configs/forge/studies/ddgan-repair-baseline-r1.json": "0d28c84e2fe4aa68a30062a34866c0096da40a02312a01e5840b0bf8a38aa240", + "configs/forge/studies/ddgan-repair-baseline-wall-r2.json": "a51710569e9920ee772958f88bce3399bcf6a0505c4c53557c21b2b8159acbfe", + "configs/forge/studies/ddgan-repair-energy-r1.json": "f5663bc69eac721ecffe2b57655dd54bc9d268247a3dfdd615a0d9b68cc63d17", + "configs/forge/studies/ddgan-repair-unconstrained-r3.json": "b394a449347a6d383eb666ffec14bca800ca52bcb30a56fcebf25bc67fea2ec9", + "configs/forge/studies/misgan-bispf-amortized-r1-reviewed.json": "8fe3e92c92340a3ff3c1c0c2d4faf3314981585a3be311d3e8c68d87a006b0eb", + "configs/forge/studies/misgan-bispf-amortized-r1-snapshot.json": "633bd55f459927202feb808ba8448f38b126e7784fea4a87fd53fcd2e7c6e80d", + "configs/forge/studies/misgan-bispf-amortized-r1.json": "acea71c17cffe49c2ef25e338ab5f58b1d4067bcbf614a5232da91eb0ddd0f13", + "configs/forge/studies/misgan-bispf-baseline-r1-reviewed.json": "f5535346780542c36ed5cbce65c1ea786636b16bf59878c09c35a919e18cbc7f", + "configs/forge/studies/misgan-bispf-baseline-r1-snapshot.json": "46b8d8f0fb07b470495d40d56e61f2a563f730eaaf4974a31754e7688fd517e3", + "configs/forge/studies/misgan-bispf-baseline-r1.json": "6a0ac92dfa4bad8e7b5cfe8108c87486a602328ad9d6f90ce296f7589bdc4f85", + "configs/forge/studies/misgan-bispf-observed-r1-reviewed.json": "06992f9293f6138072558fca33c74e1a44303bfdbe5003102382760a36774d31", + "configs/forge/studies/misgan-bispf-observed-r1-snapshot.json": "86b19f34298ad1938595b4de490b8b26275bbd9b7b0f9e1b3fc43daf044afdfe", + "configs/forge/studies/misgan-bispf-observed-r1.json": "ca5368712bad51ed72753e45375a3ea345b7334a5cf51e31e89865e481b46102", + "configs/forge/studies/misgan-bispf-transport-settle-r2.json": "6556204a46e970cdeba1ecc2ffa2029150b73083aa8ee18659f7472dcdabb868", "configs/forge/studies/prior-ablation-a1-learned.json": "31ea7f2cb5f9c2d2c528f79965a19c352bbdd0fefa87774a0f64e015010c5f9a", "configs/forge/studies/prior-ablation-a1-requal-ordinary.json": "1faf88258947e4e4ad0f23f9558f082ea5684f42921950346d3a96cae2815f8c", "configs/forge/studies/prior-ablation-a2-frozen.json": "4ea968e6d4be9140ddd175f42547c39379f349f4ee23ee2f1b295cb6f4bc871d", @@ -971,6 +997,15 @@ "configs/forge/studies/prior-ablation-a3-fresh-gaussian.json": "78c7d2359d0a6a8fb237f66a59cc1970b5a6c2c48a25b2c6cb57e5a66e96ec35", "configs/forge/studies/prior-ablation-a4-pure-global.json": "72fcb1424391bd68ebc12f579c896b5b22efe315f8b42c760fd72613f1c8fdf4", "configs/forge/studies/pure-bcap-baseline-v1.json": "d9eb76e9fb10ef8ff7e2aaacc7cb8a86999da44068374a2af15bfe01aa4cd33f", + "configs/forge/studies/r1r2-repair-control-20261022-tier1-infra-v2.json": "e2ec7168da120f0cd27368a16cd22d0074e0891063df8e61bc91bea0264dbf88", + "configs/forge/studies/r1r2-repair-control-20261022-tier1.json": "860d909fb111cb1fecca13042c319868849de379612e0e9ff20cbadaff9cab05", + "configs/forge/studies/r1r2-repair-control-20261022-word-retention.json": "add19ccaef57032b3e50e9147b8e08b716029e6a279e27769403e4374602c838", + "configs/forge/studies/r1r2-repair-r1cycle-20261022-tier1-infra-v2.json": "b198d2aa4175b286b78f78ab580b79ad1cbae31b3d7647d5c3c007b478aaa1ad", + "configs/forge/studies/r1r2-repair-r1cycle-20261022-tier1.json": "e7e7529a50f581f6bb97be17afbdb898a43fef147605493dc1aa9262f5ce9d23", + "configs/forge/studies/r1r2-repair-r1cycle-20261022-word-retention.json": "d4da89ce2021261744433402ff79fa60e37fbc2ab41495b2898c470e28797788", + "configs/forge/studies/r1r2-repair-r1only-20261022-tier1-infra-v2.json": "33a55a6b74562b2cce5cee753d863cff18a0fd84353479c0dc62187bd2b116a4", + "configs/forge/studies/r1r2-repair-r1only-20261022-tier1.json": "f42a49e9aab030c3b0b78a184e3ca40cee764086710b1b4a55154b931fb5906c", + "configs/forge/studies/r1r2-repair-r1only-20261022-word-retention.json": "7ed66ba05782fc0214a5598b955719d6037fb8ba4ed67a3cc77cbf242111d187", "configs/forge/studies/recipe-prior-refactor-atlas-v1-ordinary-study.json": "bc815b459e8cd904ec95196f899145fa2d4d4dbfa4fa7341de8b36819b418894", "configs/forge/studies/recipe-prior-refactor-bcap-pure-v1-ordinary-study.json": "46cd5543a66235ffc6ae7f318080eeb015b7e0a69315309f3ae062f5cca6a569", "configs/forge/studies/recipe-prior-refactor-e22-v1-ordinary-study.json": "d6b5c5b38f3547d9b0c6c22ff6e17207a8f08084736366385f734006f062ae1e", @@ -993,6 +1028,9 @@ "configs/forge/studies/requal-2e8a97a0aa84-ka2-ordinary.json": "fed50244521fa8681f093c1e9d27450a5691d8319112492bf34a6964d7f2a542", "configs/forge/studies/requal-2e8a97a0aa84-r1r2-ordinary.json": "568ce7b485a91ec9bb503a08329b90c8a227057af8514f8f4cd40d58150d315e", "configs/forge/studies/requal-2e8a97a0aa84-release07-gan-v3-ordinary.json": "492599fb8713179e26de20baea9559cd4a934a3609937e094f9c30ff4bbe5804", + "configs/forge/studies/vaegan-coverage-baseline-v1.json": "e27a3cd7c35812e518dccc48dd1c42ce88a41da78a220bdeb6f77c0b9ed3c56d", + "configs/forge/studies/vaegan-coverage-settle-v1.json": "cb3f990569884bba5548d50b96654b6da8d4ed94f62b0d65320d7ba5d4e8ce10", + "configs/forge/studies/vaegan-coverage-transport-v1.json": "c80f95d873d80506564738125812db9b23f91732d1805425e8e7282591959b1a", "configs/forge/task-variants/policy_cloud_coverage_as_served_v1/gaussian1d_smoke_policy_cloud_coverage_as_served_v1.json": "5a50b10e45e104522a8721ebb22d37a5719a419f7e7288e9c3dc4e7aa8c76f2a", "configs/forge/task-variants/policy_cloud_coverage_as_served_v1/gaussian1d_stability_policy_cloud_coverage_as_served_v1.json": "e2a6fe5d796905cf183e56748bdf26c6d75a29a6f4764140f25e63c98c8195f4", "configs/forge/task-variants/policy_cloud_coverage_as_served_v1/grid100_14k_policy_cloud_coverage_as_served_v1.json": "33fe7e5dd2f5d7cfe5bceae2ea7419bc922903a01fe10d5b0bab0ec9441bb026", @@ -1058,12 +1096,12 @@ "configs/forge/task-variants/tier1_policy_selected_cloud_v1/ring16_acquisition_tier1_policy_selected_cloud_v1.json": "4eb60989c942d1a29424d3580f4fc6aa32fd94eae211c068bcb1e157081c1cba", "configs/forge/task-variants/tier1_policy_selected_cloud_v1/two_pole_tier1_policy_selected_cloud_v1.json": "425aa90bb01bdd4bb6365c9f1214c8b8a3c5999cf61994cbeefa150adad01e2d", "configs/forge/task-variants/tier1_policy_selected_cloud_v1/unused_token_hold_tier1_policy_selected_cloud_v1.json": "7990be2ed016d4494f03aafb0e101f5e70a8b65be1ca924d343f7e50ebcf553c", - "configs/forge/tasks/ae_gan_hold.json": "5ceb818cfc0914e7e5d54a69bfa06c386284ac1795e86821b7b2388b9bb997b3", + "configs/forge/tasks/ae_gan_hold.json": "a700e7d67af3cb6e9726cb562968a3e2908a2368785322ca2547bd822a84ebb0", "configs/forge/tasks/alice_spiral_bigan.json": "63f62d0f112976873f58ed8142f8d8717b92ca3eca2b0be230d9714e40de1ae6", "configs/forge/tasks/cgan_overlapping_classes.json": "0cc7df8475b41803f0ec8ca472b45904cdaa6bdd76760ceb05d4a7e414ce5efb", "configs/forge/tasks/clockfree_audit.json": "70bcc2939bb83d299e1396cb4c9cb43fa43e5c233e80ecd5412abadab2393f3f", "configs/forge/tasks/clockfree_audit_measurement_v1.json": "b84b921957946275a1b03088b78bc268ede5635e7243c00bbbda92c82af29978", - "configs/forge/tasks/cover_leftover.json": "0d0b3843b1aa7c41b25452c78f1cb5c111bfdaee680aa237eae5b88af7e28a23", + "configs/forge/tasks/cover_leftover.json": "85d51a2a01283163193206bdc6b62dc09e6a15370b8172b6719302da02a80e55", "configs/forge/tasks/cramer_energy_overlap.json": "3c6fa60b8e34734da11918f5a8c988f7e4b9f78b79eb5487d4269dd82a847170", "configs/forge/tasks/cyclegan_unpaired_constellation.json": "7ea8d0971cb6e18d66c52f202b4a47ce15674daa952e1588f89bc8141fca9c37", "configs/forge/tasks/dcgan_performance_b64.json": "66b8269c2fbaf50823ab2038afed94ea2bbd5cfcdce514414dbe2932bc1c8351", @@ -1073,9 +1111,12 @@ "configs/forge/tasks/dcgan_performance_r32.json": "c39c7089f5ccbfd6676b59bd226c7563a21006edd2050b1a2ff7b53b70def208", "configs/forge/tasks/dcgan_performance_r64.json": "bb6c8a3fdeef54581e7798ecc3ba7e8f798dadef16464934eda8346c002aedf9", "configs/forge/tasks/dcgan_performance_w128.json": "3f2a1c650b01bfbfc9cafbe0fdc56a48274d039bd8593cc9d811aa625e21966c", - "configs/forge/tasks/five_word_joint_acquisition.json": "555465029beb34b943734f0472e25382d49c474bdb424b4df4042a705ccb3e30", - "configs/forge/tasks/five_word_joint_hold.json": "32461ad5849abbe7f313c3a9084b6049039431a7636de5906b11687468a164af", - "configs/forge/tasks/five_word_joint_smoke.json": "eca4dc3afc81bd75ff7606e584fced1293614a8992cbf76c0868b5be25864a6e", + "configs/forge/tasks/ddgan_repair_bimodal_chain_v1.json": "6e0254023481544f6d14c6a1f0565165b560479bc767a85cc2c406e2955470c9", + "configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json": "406055d3633d6f64fdb6f3a59b4b1232f3bcd32cc5e853f141805711c3ecc267", + "configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json": "4df614562d9a62a29811bca927bf427dc2e9aefde41602dfad1900c09de4de36", + "configs/forge/tasks/five_word_joint_acquisition.json": "5eb1470fce9f1aad9dea486a43c3ac3276c2568a3fa48cebaae3a3dc712bc2ab", + "configs/forge/tasks/five_word_joint_hold.json": "4dce47dc8f0e4e76c47bdb3eedef5e334ddf5812a48d02fdee77636a721a5b52", + "configs/forge/tasks/five_word_joint_smoke.json": "ec1c7af0accdee873a77a7839fff8a6792218c08ec165f001b41b0722d7e2f17", "configs/forge/tasks/gaussian1d_acquisition.json": "e40c9b88694a110cf63453cd27b252fd7ea7c04bed08b7834479eb19332848b9", "configs/forge/tasks/gaussian1d_shallow_smoke.json": "a80ff6a75a25231c2270ba4648d59fe9153a07068789283dc9e653736a4dfcf3", "configs/forge/tasks/gaussian1d_shallow_stability.json": "ae67d44ba05834fbae83e1ba7ec58351c0b3dc0af7a21c126263b3482ce8b2fd", @@ -1101,20 +1142,21 @@ "configs/forge/tasks/img_stripes2_residual16.json": "5a32b93e1b2f3c392f42fe566e00959cdfa6db050d8bdc73f8e313cb6f9d40a2", "configs/forge/tasks/img_stripes2_w64_optimizer_diagnostic.json": 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"experiments.forge.publication_memory": "7e9d1e7ea3ce0e165c6df54d324ddffec8d220a0eb1e2ad268ca2d16778ad9c4" @@ -4357,5 +4424,5 @@ "scientific_source_digests": [ "b6276ab7a42705c4b81af38e5732ba89f8ae0e5bce38776cfe2d47e20aec43be" ], - "view_count": 27 + "view_count": 31 } diff --git a/reports/forge/ddgan-conditional-repair/README.md b/reports/forge/ddgan-conditional-repair/README.md new file mode 100644 index 000000000..c1d35be97 --- /dev/null +++ b/reports/forge/ddgan-conditional-repair/README.md @@ -0,0 +1,200 @@ +# DDGAN conditional-law repair on the selected BISPF recipe + +Three bounded repair rounds concluded with **seven full-budget FAILs and two +resource-INCOMPLETE attempts**. The energy objective and annealing substantially +improve independent generation, including five passing Gaussian marginal checks, +but no one global recipe passes either complete task. Conditional distributions +and bimodal local spread remain unresolved. This is a completed negative +research result, with no ordinary qualification or public-default credit. + +The [single current leaderboard](../leaderboards/ddgan_conditional_repair.md) +retains every measured failure and incomplete attempt, numerical endpoints and +actual-training GIFs. [Compact results](results.json) contain exact failed bounds, +full-budget and terminal-window status, source/task/recipe identities, model and +batch hashes, optimizer guards, actual artifact hashes and measured costs. + +## Diagnosis and proposed mechanism + +The baseline is exactly `bispf-optimized-quintic-v1`, selected by the technique +inventory; its declared recipe SHA is +`60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e`. +Its historical CPU Gaussian FAIL and blocked bimodal full run retain their +original identity. New matched GPU 0 runs provide this comparison. + +The [saved-state investigation](../ddgan-failure-investigation/README.md) found +low-noise conditional errors at central and fresh contexts. High-noise reverse +kernels masked poor clean predictions. Local critic gradients opposed needed +mean correction on seven of eight fixed panels; they do not establish actual +parameter-step direction, critic lag or a temporal cause. + +The [DDGAN paper](https://arxiv.org/abs/2112.07804) and +[official implementation](https://github.com/NVlabs/denoising-diffusion-gan/blob/main/train_ddgan.py) +model reverse transitions with a stochastic conditional clean predictor and a +Gaussian posterior kernel. This experiment retains that transition game and all +four reverse sampling steps. It adds the negative beta-1 +[energy score, equation 22](https://doi.org/10.1198/016214506000001437): + +`mean ||Xi-y|| - sum(i != j)||Xi-Xj|| / (2*K*(K-1))`. + +Eight independent prior draws share each existing generator training context; +`y` is that forward pair's real clean example. The off-diagonal U-statistic +avoids finite-ensemble underdispersion bias, while separation rewards conditional +spread. No analytic posterior, privileged target parameters or evaluation query +enters training. The public `conditional_energy_score` owns this sample-only +loss. The existing public DDGAN fixture, Recipe factories, learned MoG, SBNP, +Born–Infeld critic penalty, DualNorm and ordered UpdatePolicy own actual updates. +The adversarial objective retains coefficient 1 throughout. + +## Frozen comparison and bounded rounds + +Both tasks retain seed 0 and public deterministic initialization; two-layer +width-32 G/D MLPs; 128 initial four-dimensional MoG locations with absolute +sigma 0.25 and no standardization; batch 64; separate D/G clean and timestep +streams; the schedule `[1,.9,.5,.05,.0001]`; clean live four-step ancestral +sampling with fresh latent, kernel and reverse noise at every step; 2,048 +samples per panel; 24 scheduled observations; and five passing terminal checks. +Gaussian trains 2,500 updates and bimodal 5,000. Every original mean, covariance, +projection-CDF, mode-mass, quality and local-spread gate remains exact. + +Auxiliary draws have independent checkpointed latent/kernel streams. Tests and +the exporter verify identical initial model hashes and complete consumed clean +and timestep batch digests across recipe arms. Evaluation leaves training state +and RNGs unchanged. The scientific code digest is identical across all rounds: +`db83af24303b269185064c69aa6837b3c56fe1fa5460b7da39aecc0672c0fe32`. +One global recipe is used across both tasks in each round. + +- Round 1 adds only conditional energy weight 1 with 8 draws to the selected + recipe. Ready studies `ddgan-repair-baseline-r1` and `ddgan-repair-energy-r1` + reserved 2,400 seconds before execution at commit `71275a4c7`. +- Round 2 retains those objectives and globally changes learning rate + `0.012 -> 0.003`, cosine annealing start `0.6 -> 0.3`, and positive network/prior + floors `1 -> 0.05`. Studies `ddgan-repair-annealed-r2` and + `ddgan-repair-baseline-wall-r2` were frozen at `34b7a7d6b`. +- Round 3 changes only `constraint_geometry_mode: direction_blend -> none`, + minimizing the same summed GAN, energy and SBNP objectives with the same rates + and core BISPF mechanisms. It removes the optional per-objective common-descent + blend. This tests whether that constraint limits conditional correction; its + conflict counts alone do not prove a cause or a generic nonascent guarantee. + Study `ddgan-repair-unconstrained-r3` was frozen at `223d24568` before execution. + +Round-1 bimodal workers exhausted their frozen 600-second allowance before +5,000 updates. The last actual logged observations were baseline 3,542 and +energy 3,334; exact terminal update counts, checkpoints and full receipts were +not written before supervisor termination. They remain **INCOMPLETE resource +outcomes**, with no full-budget quality verdict or substituted GIF. + +The explicit timeout-only bimodal variant raises allowance to 1,200 seconds, +holding all 5,000 updates and scientific gates fixed. View revision 1 is +[archived byte-for-byte](../../../configs/forge/view-history/ddgan-conditional-repair-v1-v1.json). +Revision 2 selects that resource variant and the unchanged Gaussian as research +diagnostics. The completed Gaussian baseline is reused exactly, never rerun. +Ordinary deeper-task prerequisites remain failed; these diagnostics grant no +qualification and cannot fill the original blocked cells. + +After the resource failures, the finite amendment permits at most 9 attempts, +35,000 maximum declared generator updates including incomplete allowances, and +7,800 reserved seconds across all rounds. Round 2 reserves up to 3,600 seconds; +the final round reserves 1,800. No active cap, scientific gate or recorded result +is relaxed. GPU 0 is shared and under load; costs are recorded without a speed +comparison. No seed trial, continuation or automatic extension follows. + +## Measured findings and current recommendation + +The matched Gaussian baseline fails with final CDF 0.5905, mean error 1.4801 and +worst conditional CDF 0.6144. Round 1 improves those endpoints to 0.0937, 0.2198 +and 0.1289, but covariance maximum 1.5563 exceeds 1.4. Its five terminal final +CDF values span 0.0578–0.2836, and none passes every task bound. Endpoint +improvement is not sustained success. The saved optimizer records 1,448 blended +conflict steps and zero Pareto stalls; [the diagnosis](round1-diagnosis.json) +adds no updates or sampling. + +Round 2 stabilizes the Gaussian marginal: all five final-chain checks pass, +with CDF 0.0451–0.0855. Endpoint CDF is 0.0617, mean error 0.1348 and covariance +[0.9905,1.0117]. The endpoint's remaining failures are fixed panel `t1_q0`: +mean error 0.6195, covariance maximum 1.4775 and CDF 0.1911. Its optimizer records +1,605 blended conflicts and zero Pareto stalls. +[Saved-state readout](round2-diagnosis.json) adds no updates or sampling. + +The complete matched bimodal baseline fails with final CDF 0.3738, worst +conditional CDF 0.4728, mean error 0.7641, local mean error 1.066 sigma and minimum +local covariance 0.3522. Round 2 improves final CDF to 0.0450, mean error to 0.0376, +local mean error to 0.208 sigma and worst conditional CDF to 0.1272. It still +fails: high-quality coverage 0.9390 is below 0.95 and maximum local covariance +1.7867 exceeds 1.5, alongside conditional and sustained-window bounds. + +Keep every complete task labelled FAIL and every capped attempt INCOMPLETE. +Do not select separate recipes per target or promote passing marginal subgates +to a task pass. Disabling the optional direction blend does not repair the conditional +failure: it worsens the Gaussian fixed query. A next substantive +question would test explicit timestep conditioning or task capacity in a new +architecture cohort, with a matched selected-recipe control and the same +scientific gates. Current evidence does not establish a capacity limit. Stop +these exact revisions; no additional tuning, seed trial or promotion follows. + +The complete round-3 Gaussian also fails its fixed `t1_q0` panel. Marginal CDF +is 0.0316 and mean error 0.0113, but conditional CDF worsens to 0.3707, mean error +to 1.1197 and covariance maximum to 1.6634. Round-3 bimodal CDF is 0.0435, mean +error 0.0146 and worst conditional CDF 0.1024, while quality 0.9453, local +covariance maximum 1.6982 and conditional covariance/mean bounds still fail. +Neither task has a passing five-observation terminal window. + +All nine attempts cost **4,793.664 supervised seconds**, including capped work, +startup, training, scoring, media and independent grading. Actual attempt +reservations total 7,200 seconds within the 7,800-second campaign ceiling. +The exporter verifies exact matched model initialization and complete target/ +timestep sequences, one global recipe per candidate, seven real full-training +GIFs and finite complete checkpoints. Costs supply accounting only. + +## Software validation and reproduction + +**72 focused tests pass**, covering proper-score oracle versus collapsed/wrong +mean/wrong spread controls, off-diagonal normalization, independent same-context +draws, rejection of analytic-posterior leakage, public component execution, +exact checkpoint replay for both optimizer geometries, unchanged initial models +and target batches, observation purity, and unsupported-host refusal. +**124 training/recipe/model-toy regression tests pass**. The committed-page +freshness guard passes after a display-only publication refresh; a +[provenance receipt](publication-refresh.json) verifies every registered +scientific row and selected recipe remains unchanged. Forge declarations +validate and compiled memory is CURRENT. Original DDGAN scorer controls reject wrong contexts, unconditional +samples, posterior-mean collapse, mode collapse and nonfinite output at the +actual evaluation sample count. The source-only compatibility migration retains +[all four original task Git blobs and source hashes](source-migration.json); +no historical receipt or qualification was rewritten or rerun. + +**66 strict receipt-compatibility checks pass** against frozen develop and the +maintained full-packet expectations. Inactive conditional-energy defaults are +omitted from historical applied packets while older fields remain present. A +[source-only receipt migration](receipt-compatibility-migration.json) preserves +the complete revision ancestry and exact previous Git blobs for ten current +task bindings; ten historical prior-refactor task cards remain byte-identical. +This software repair changes no recorded training source, metrics or verdicts. + +Use a detached checkout of the pinned preregistration commit for the desired +round and a new queue directory. For example, round 3 uses the public Forge +pipeline and the repository's Python environment: + +```sh +python -m experiments.forge --queue-root /outside-git/ddgan-reproduction/queue \ + plan bispf-ddgan-energy-unconstrained-v3 --study ddgan-repair-unconstrained-r3 +python -m experiments.forge --queue-root /outside-git/ddgan-reproduction/queue \ + enqueue bispf-ddgan-energy-unconstrained-v3 --study ddgan-repair-unconstrained-r3 +python -m experiments.forge --queue-root /outside-git/ddgan-reproduction/queue \ + drain --gpus 0 --allow-sharing --workers-per-gpu 2 \ + --campaign ddgan-conditional-repair-r3 +``` + +`export.py` reads saved requests/receipts, verifies artifact hashes and shared +model/batch/task/global-recipe invariants, and copies actual saved GIFs. It +constructs no model, executes no update, draws no sample and does not regrade. +It overwrites only this goal's current compact publication and leaderboard. + +Raw stdout, per-observation arrays, checkpoints and traces stay outside Git. +The single progress log aggregates real job steps and statuses: + +```sh +tail -F /nvme/dev/particlegan/artifacts/ddgan-bispf-20261019/progress.log +``` + +Full execution logs are under +`/nvme/dev/particlegan/ParticleGAN/runs/forge/ddgan-conditional-repair-r{1,2,3}/*/run.log`. diff --git a/reports/forge/ddgan-conditional-repair/export.py b/reports/forge/ddgan-conditional-repair/export.py new file mode 100644 index 000000000..79055a080 --- /dev/null +++ b/reports/forge/ddgan-conditional-repair/export.py @@ -0,0 +1,188 @@ +"""Export exact saved Forge evidence and the single current research board. + +No model is constructed, no training/sampling is performed, and archived grades +are copied instead of recomputed. Missing full receipts remain INCOMPLETE. +""" +from __future__ import annotations + +import argparse +import hashlib +import json +from pathlib import Path +import shutil + +ROOT = Path(__file__).resolve().parents[3] +REPORT = Path(__file__).resolve().parent + + +def sha(path): + return hashlib.sha256(Path(path).read_bytes()).hexdigest() + + +def read(path): + return json.loads(Path(path).read_text()) + + +def value_sha(value): + return hashlib.sha256(json.dumps(value, sort_keys=True, separators=(",", ":")).encode()).hexdigest() + + +def export(queue, campaigns): + runs = [] + for campaign in campaigns: + for path in sorted((queue / campaign).glob("*/request.json")): + resolved = read(path) + request, job = resolved["request"], resolved["job"] + if not str(job["task_id"]).startswith("ddgan_repair_"): + continue + directory = path.parent + raw_path, adapter_path = directory / "api/receipt.json", directory / "adapter-receipt.json" + terminal_path = directory / "terminal.json" + terminal = read(terminal_path) if terminal_path.exists() else {} + row = dict(candidate=request["candidate"]["id"], task=job["task_id"], + attempt=directory.name, campaign=campaign, + request_id=resolved["request_id"], candidate_revision=request["candidate_revision"], + source=request["source"], task_contract=request["tasks"][job["task_id"]], + protocol_seed=0, qualification_input=False, + attempt_status=terminal.get("attempt_status", "running"), + attempt_reason=terminal.get("reason"), + supervised_elapsed_seconds=terminal.get("elapsed_seconds"), + reservation_seconds=job["budget_seconds"], + terminal_sha256=sha(terminal_path) if terminal_path.exists() else None, + artifact_directory=str(directory), completed_updates=None, + verdict="INCOMPLETE", terminal_passes=None, final_metrics={}, failed_bounds=[]) + # The full source file map is already content-addressed in Forge; + # retain compact manifest identities here, not another bulk copy. + row["source"] = {key: value for key, value in row["source"].items() if key != "files"} + # Forge adds candidate-specific resolved ownership to each task; + # it is not part of the shared authored task contract. + ownership = row["task_contract"].pop("field_ownership", None) + row["field_ownership_sha256"] = value_sha(ownership) + row["task_contract"].pop("preflight_blockers", None) + row["task_contract_sha256"] = value_sha(row["task_contract"]) + log = directory / "run.log" + if log.exists(): + row["execution_log_sha256"] = sha(log) + rows = [json.loads(line) for line in log.read_text().splitlines() + if line.startswith('{"case"')] + row["last_observed_update"] = rows[-1]["step"] if rows else None + if raw_path.exists(): + raw = read(raw_path) + complete = raw.get("default_protocol_complete", False) and raw.get("status") == "COMPLETE" + scheduled = raw["protocol"]["metric_evaluation_steps"] + checks = [obs for obs in raw["observations"] if obs["step"] > 0 and obs["step"] in scheduled] + row.update(completed_updates=raw["completed_updates"], + api_execution_status=raw.get("status"), + verdict=raw["verdict"] if complete else "INCOMPLETE", + full_protocol_complete=complete, terminal_passes=sum(obs["passed"] for obs in checks[-5:]), + scheduled_checks=len(checks), final_metrics=raw["observations"][-1]["metrics"], + failed_bounds=raw["failed_bounds"], recipe=raw["recipe"], + reproducibility=raw["reproducibility"], runtime=raw["runtime"], + raw_receipt_sha256=sha(raw_path), elapsed_seconds=raw["elapsed_seconds"], + artifact_hashes=raw["artifacts"]) + artifact_root = (directory / "api").resolve() + for relative, recorded in raw["artifacts"].items(): + artifact = (artifact_root / relative).resolve() + if (not artifact.is_relative_to(artifact_root) or not artifact.is_file() + or sha(artifact) != recorded["sha256"] + or artifact.stat().st_size != recorded["bytes"]): + raise ValueError(f"saved API artifact differs: {artifact}") + gif = directory / "api/goal.gif" + if gif.exists(): + if sha(gif) != raw["artifacts"]["goal.gif"]["sha256"]: + raise ValueError("actual-training GIF differs from saved receipt") + destination = REPORT / "media" / f'{row["candidate"]}-{job["task_id"]}.gif' + destination.parent.mkdir(exist_ok=True) + shutil.copyfile(gif, destination) + row["gif"] = str(destination.relative_to(ROOT)) + if adapter_path.exists(): + adapter = read(adapter_path) + row.update(adapter_receipt_sha256=sha(adapter_path), + guards=adapter["evidence"]["guards"], + prior_policy=adapter["evidence"]["prior_policy"], + initial_models=adapter["evidence"]["initial_models"], + batch_sequence_sha256=adapter["evidence"]["batch_sequence_sha256"]) + graded = directory / "graded-result.json" + if graded.exists(): + grade = read(graded)["grades"][job["task_id"]] + row["forge_grade"] = {key: value for key, value in grade.items() if key != "metrics"} + evaluator = row["forge_grade"].get("evaluator_result", {}) + evaluator.pop("metrics", None) # Same bounds/values are stored once above. + row["graded_receipt_sha256"] = sha(graded) + if complete: + row["verdict"] = row["forge_grade"]["gate_status"] + elif row["verdict"] == "PASS": + row["verdict"] = "INCOMPLETE" + runs.append(row) + # Check the actual task contract and consumed clean/timestep sequence agree + # across all recipe arms; timeout-only variants compare as their own tasks. + for task in {row["task"] for row in runs}: + if len({row["task_contract_sha256"] for row in runs if row["task"] == task}) > 1: + raise ValueError(f"shared task contract changed across arms: {task}") + measured = [row for row in runs if row["task"] == task and row.get("full_protocol_complete")] + for name in ("initial_models", "batch_sequence_sha256"): + if len({json.dumps(row.get(name), sort_keys=True) for row in measured}) > 1: + raise ValueError(f"unmatched {name} for {task}") + for candidate in {row["candidate"] for row in runs}: + recipes = [{key: value for key, value in row["recipe"].items() if key != "total_steps"} + for row in runs if row["candidate"] == candidate and row.get("recipe")] + if len({value_sha(recipe) for recipe in recipes}) > 1: + raise ValueError(f"candidate is not one global recipe: {candidate}") + contracts = {row["task"]: row.pop("task_contract") for row in runs} + result = dict(schema="ddgan_conditional_repair_publication_v1", qualification_input=False, + goal="ddgan_conditional_repair", seed=0, + baseline="bispf-optimized-quintic-v1", campaigns=campaigns, + task_contracts=contracts, runs=runs, + paid_supervised_seconds=sum(row.get("supervised_elapsed_seconds") or 0. for row in runs), + total_reserved_attempt_seconds=sum(row["reservation_seconds"] for row in runs), + cost_scope="Summed supervised attempt cost includes startup, actual updates, evaluation, media and independent grading; timed-out attempts are included. GPU0 was shared; no speed comparison.") + (REPORT / "results.json").write_text(json.dumps(result, indent=2) + "\n") + board = ROOT / "reports/forge/leaderboards/ddgan_conditional_repair.md" + board.parent.mkdir(exist_ok=True) + active = {item["task"] for item in read(ROOT / "configs/forge/views/ddgan-conditional-repair-v1.json")["assignments"]} + summary = [] + for candidate in sorted({row["candidate"] for row in runs}): + rows = [row for row in runs if row["candidate"] == candidate] + current = {row["task"]: row for row in rows if row["task"] in active} + passed = sum(row["verdict"] == "PASS" for row in current.values()) + failed = sum(row["verdict"] == "FAIL" for row in current.values()) + unknown = len(active) - passed - failed + summary.append((candidate, passed, failed, unknown, + sum(row["verdict"] == "INCOMPLETE" for row in rows))) + summary.sort(key=lambda row: (-row[1], row[3], row[0])) + lines = ["# DDGAN conditional repair: current research leaderboard", "", + "GPU 0 shared-load diagnostic only; no ordinary qualification or speed ranking. " + "All runs use protocol seed 0, clean live four-step sampling and unchanged scientific gates.", "", + "One global recipe per row; current tasks are Gaussian and the full-budget bimodal wall-allowance variant. " + "A missing full result remains unknown. Passing marginal subgates do not count as task passes.", "", + "| Global recipe | Current PASS / 2 | Current FAIL | Unknown | Retained incomplete attempts |", + "| --- | ---: | ---: | ---: | ---: |"] + for candidate, passed, failed, unknown, incomplete in summary: + lines.append(f"| `{candidate}` | {passed}/2 | {failed} | {unknown} | {incomplete} |") + lines += ["", "All retained attempts and exact endpoint metrics:", "", + "| Recipe | Task | Verdict | Updates | Last 5 passes | Final CDF | Worst conditional CDF | GIF |", + "| --- | --- | --- | ---: | ---: | ---: | ---: | --- |"] + for row in runs: + metrics = row["final_metrics"] + final = f'{metrics["final_projection_cdf"]:.4f}' if "final_projection_cdf" in metrics else "—" + worst = f'{metrics["worst_transition_cdf"]:.4f}' if "worst_transition_cdf" in metrics else "—" + gif = f'[actual training](../../{Path(row["gif"]).relative_to("reports")})' if row.get("gif") else "—" + updates = row["completed_updates"] + displayed_updates = f"{updates:,}" if updates is not None else f'>={row["last_observed_update"]:,}' + terminal_passes = f'{row["terminal_passes"]}/5' if row.get("full_protocol_complete") else "—" + lines.append(f'| `{row["candidate"]}` | `{row["task"]}` | **{row["verdict"]}** | ' + f'{displayed_updates}/{contracts[row["task"]]["execution"]["steps"]:,} | ' + f'{terminal_passes} | {final} | {worst} | {gif} |') + lines += ["", "CDF bounds: each final and conditional panel <=0.12. A PASS also requires all mean, " + "covariance and bimodal mode/local-spread bounds at every final five scheduled checks. " + "[Full failed bounds, provenance and exact final metrics](../ddgan-conditional-repair/results.json).", ""] + board.write_text("\n".join(lines)) + print(json.dumps(dict(runs=len(runs), outcomes=[(r["candidate"], r["task"], r["verdict"]) for r in runs]))) + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--queue", type=Path, required=True) + parser.add_argument("--campaign", action="append", required=True) + args = parser.parse_args() + export(args.queue.resolve(), args.campaign) diff --git a/reports/forge/ddgan-conditional-repair/media/bispf-ddgan-energy-annealed-v2-ddgan_repair_bimodal_chain_wall_v2.gif b/reports/forge/ddgan-conditional-repair/media/bispf-ddgan-energy-annealed-v2-ddgan_repair_bimodal_chain_wall_v2.gif new file mode 100644 index 000000000..ea9ea8900 Binary files /dev/null and b/reports/forge/ddgan-conditional-repair/media/bispf-ddgan-energy-annealed-v2-ddgan_repair_bimodal_chain_wall_v2.gif differ diff 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PASS and FAIL a | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1) | [8/12](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2) | [0/1](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-4) | [10/16](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [5/7](atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [3/4](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1) | [8/12](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2) | [1/6](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-4) | [12/22](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [5/7](atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [7/11](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | [8/18](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | [0/1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | [15/30](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [14/25](atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1) | [8/12](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2) | [0/1](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-4) | [10/16](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [5/7](atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1) | [8/12](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2) | [0/1](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-4) | [10/16](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [5/7](atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | [8/12](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-4) | [10/15](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [5/7](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-4) | [2/16 (13 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [0/7 (7 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [3/4](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [0/7 (7 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [7/11](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | [0/18 (16 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | [7/30 (17 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [0/25 (2 not run, 23 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-4) | [2/16 (13 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [0/7 (7 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-4) | [2/16 (13 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [0/7 (7 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [2/3](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-4) | [2/15 (12 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [0/7 (7 diagnostic attempts)](atlas.md#cohort-cuda-bc3debd3fa5e-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-1) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-2) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-4) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage) | -| [policy_cloud_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-1) | [0/21](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-2) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-4) | [0/35](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage) | -| [policy_cloud_coverage_as_served](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-1) | [0/21](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-2) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-4) | [0/35](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served) | -| [tier1_policy_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-1) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-2) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-4) | [0/7](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage) | +| [policy_cloud_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-1) | [0/21 (21 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-2) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage-tier-4) | [0/35 (35 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage) | +| [policy_cloud_coverage_as_served](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-1) | [0/21 (21 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-2) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served-tier-4) | [0/35 (35 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-policy_cloud_coverage_as_served) | +| [tier1_policy_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-1) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-2) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-3) | [0/0](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](atlas.md#cohort-cuda-bc3debd3fa5e-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -198,17 +198,17 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | PASS | matches recorded run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | PASS | changed since run | | [clockfree_audit_measurement_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1) | PASS | matches recorded run | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | FAIL | changed since run | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | FAIL | matches recorded run | -| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | matches recorded run | +| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | FAIL | changed since run | +| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | changed since run | +| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | changed since run | +| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | changed since run | | [ring16_acquisition](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | FAIL | matches recorded run | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | PASS | changed since run | | [zero_tanh_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_smoke) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | PASS | matches recorded run | Held at this tier (measured and shown, not counted): @@ -226,36 +226,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | changed since run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | UNKNOWN | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | UNKNOWN | changed since run | | [model_ae_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | changed since run | -| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | changed since run | +| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | UNKNOWN | changed since run | | [model_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | FAIL | changed since run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | matches recorded run | @@ -265,24 +265,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | PASS | recorded definition unavailable | -| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | [adaptation](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3), [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | FAIL | matches recorded run | +| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | BLOCKED | matches recorded run | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [clockfree_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3), [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3), [formulation_comparison](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3), [host_profile_transfer](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -297,21 +297,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | changed since run | -| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | changed since run | -| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | matches recorded run | -| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | matches recorded run | -| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | matches recorded run | +| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | changed since run | +| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | changed since run | +| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | matches recorded run | +| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | matches recorded run | +| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [discriminator_stability](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | matches recorded run | @@ -323,29 +323,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [adaptation / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2), [clockfree_continuous / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2), [formulation_comparison / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2), [quality_coverage / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | BLOCKED | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -363,9 +363,9 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | @@ -373,25 +373,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -399,7 +399,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -424,26 +424,26 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -480,21 +480,21 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -530,7 +530,7 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | changed since run | @@ -566,7 +566,7 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | changed since run | @@ -602,10 +602,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | @@ -685,9 +685,9 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | | [clockfree_audit_measurement_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | required | PASS | matches recorded run | @@ -696,25 +696,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -722,13 +722,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | required | PASS | recorded definition unavailable | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -813,6 +813,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -830,16 +867,16 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | required | PASS | matches recorded run | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | required | FAIL | matches recorded run | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | required | FAIL | changed since run | | [zero_tanh_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_smoke) | required | PASS | matches recorded run | -| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | required | FAIL | matches recorded run | -| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | required | PASS | matches recorded run | -| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | required | PASS | matches recorded run | -| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | required | PASS | matches recorded run | +| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | required | FAIL | changed since run | +| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | required | PASS | changed since run | +| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | required | PASS | changed since run | +| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | required | PASS | changed since run | | [clockfree_audit_measurement_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | | [precision_gaussian_fp32](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -851,31 +888,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | required | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | required | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | required | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | | [model_ae_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | changed since run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | | [model_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_gaussian_chain) | required | FAIL | changed since run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | changed since run | -| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | required | FAIL | changed since run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | changed since run | +| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | changed since run | @@ -883,9 +920,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | matches recorded run | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | matches recorded run | @@ -893,21 +930,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | changed since run | -| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | changed since run | -| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | matches recorded run | -| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | matches recorded run | -| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | matches recorded run | -| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | changed since run | +| [grid100_res16_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | changed since run | +| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | matches recorded run | +| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | matches recorded run | +| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | BLOCKED | matches recorded run | +| [misgan_mcar_p50_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -925,9 +962,9 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | @@ -935,25 +972,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -976,8 +1013,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1001,9 +1038,9 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | @@ -1011,25 +1048,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1050,8 +1087,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1115,34 +1152,34 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | @@ -1163,6 +1200,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -1328,53 +1401,53 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | diagnostic | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | diagnostic | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | | [zero_tanh_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_smoke) | diagnostic | PASS | matches recorded run | | [model_ae_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | changed since run | -| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | matches recorded run | -| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | diagnostic | PASS | matches recorded run | +| [model_ae_gan_multimodal](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | changed since run | +| [model_ae_reconstruction](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_reconstruction) | diagnostic | PASS | changed since run | | [model_ddgan_gaussian_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | changed since run | -| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | diagnostic | PASS | matches recorded run | -| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | diagnostic | PASS | matches recorded run | +| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | diagnostic | PASS | changed since run | +| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | diagnostic | PASS | changed since run | | [clockfree_audit_measurement_v1](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | -| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | | [img_stripes2_residual16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | changed since run | -| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | changed since run | -| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | matches recorded run | -| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | diagnostic | PASS | matches recorded run | -| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | diagnostic | PASS | matches recorded run | -| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | diagnostic | FAIL | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | changed since run | +| [model_ddgan_bimodal_chain](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | diagnostic | BLOCKED | matches recorded run | +| [grid100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | diagnostic | BLOCKED | matches recorded run | +| [misgan_block_neural_imputer](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | diagnostic | BLOCKED | matches recorded run | +| [ring16_bigan_continuous](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | diagnostic | BLOCKED | matches recorded run | @@ -1410,9 +1483,9 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | matches recorded run | -| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | matches recorded run | -| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | matches recorded run | +| [two_pole](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | required | FAIL | changed since run | +| [unused_token_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unused_token_hold) | required | PASS | changed since run | +| [ae_gan_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ae_gan_hold) | required | PASS | changed since run | @@ -1420,25 +1493,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -1452,6 +1525,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1470,27 +1580,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1528,27 +1638,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1586,27 +1696,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1644,27 +1754,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | | [gaussian1d_smoke](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | FAIL | matches recorded run | -| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | PASS | matches recorded run | -| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | PASS | matches recorded run | -| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | PASS | matches recorded run | -| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | PASS | matches recorded run | -| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | PASS | matches recorded run | -| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | PASS | matches recorded run | -| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | PASS | matches recorded run | -| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1700,7 +1810,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1764,6 +1874,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_hard) | diagnostic | PASS | changed since run | +| [model_vae_categorical](atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_vae_categorical) | diagnostic | PASS | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1776,7 +1923,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -1874,9 +2021,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1902,9 +2051,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cgan_overlapping_classes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cgan_overlapping_classes. [Attempt evidence](../attempt-coverage.json). @@ -1930,9 +2081,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (new_attempt; qualification unchanged). declared state/horizon/cadence/restart comparisons agree; source audit bound [Attempt evidence](../attempt-coverage.json). @@ -1952,7 +2103,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **matches recorded run**. Test definition matches the recorded conditions. declared state/horizon/cadence/restart comparisons agree; source audit bound Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2048,9 +2199,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -2112,9 +2263,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -2139,9 +2292,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y. [Attempt evidence](../attempt-coverage.json). @@ -2297,6 +2452,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2336,13 +2626,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Required checkpoint prerequisite five_word_joint_smoke executed and failed (FAIL). +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite five_word_joint_smoke executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2408,13 +2698,13 @@ Dependencies: five_word_joint_smoke_policy_cloud_coverage_v1 (checkpoint). **five_word_joint_smoke: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2534,7 +2824,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (new_attempt; qualification unchanged). any scheduled full pass with independent same-state confirmation [Attempt evidence](../attempt-coverage.json). @@ -2648,9 +2938,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. stationary hold, deadline reacquisition and shifted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). stationary hold, deadline reacquisition and shifted hold [Attempt evidence](../attempt-coverage.json). @@ -2756,9 +3046,9 @@ Dependencies: gaussian1d_smoke_policy_cloud_coverage_v1 (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../attempt-coverage.json). @@ -2797,9 +3087,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1). @@ -3000,9 +3292,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. native model variants require an explicit profile; grid100_mlp16: native model variants require an explicit profile -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4, min_radial_median_ratio >= 0.65. +**Scientific scope correction:** Import-time shared-generator replacement and residual-generator alias do not establish the originally declared architecture. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed grid100_mlp16 bounds: modes >= 100, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4, min_radial_median_ratio >= 0.65. [Attempt evidence](../attempt-coverage.json). @@ -3164,9 +3458,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -3205,9 +3501,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. native model variants require an explicit profile; grid100_res16_tanh: native model variants require an explicit profile -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +**Scientific scope correction:** Import-time shared-generator replacement and residual-generator alias do not establish the originally declared architecture. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. [Attempt evidence](../attempt-coverage.json). @@ -3248,9 +3546,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3384,9 +3682,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3494,9 +3792,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3604,9 +3902,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3740,9 +4038,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq. [Attempt evidence](../attempt-coverage.json). @@ -3769,9 +4069,9 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3837,9 +4137,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **matches recorded run**. Test definition matches the recorded conditions. misgan_block_neural_imputer: unsupported vector target declaration -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -3866,9 +4168,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. misgan_block_recovery: unsupported vector target declaration + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3897,9 +4201,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3926,9 +4232,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3955,9 +4263,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -4039,9 +4347,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -4119,7 +4429,7 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). **model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4243,7 +4553,7 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit **model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4299,7 +4609,7 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi **model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4341,9 +4651,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -4417,7 +4729,7 @@ Dependencies: model_ddgan_gaussian_chain (gate). **model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4521,11 +4833,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -4533,13 +4884,13 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit **model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). Actual task device: `0` (recorded execution receipt). -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-vaegan_coverage-tier-1). Recorded final metric checks: @@ -4598,13 +4949,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi **model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). Actual task device: `0` (recorded execution receipt). -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-vaegan_coverage-tier-1). Recorded final metric checks: @@ -4661,9 +5012,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -4687,9 +5040,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -4807,9 +5162,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -4867,7 +5222,7 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_conditional_pr **ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -5010,9 +5365,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **matches recorded run**. Test definition matches the recorded conditions. ring16_bigan_continuous: unsupported vector target declaration -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: hq, mass_tv, mode_consistency, modes, recon_rmse. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: hq, mass_tv, mode_consistency, modes, recon_rmse. [Attempt evidence](../attempt-coverage.json). @@ -5039,9 +5396,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -5135,9 +5492,9 @@ Dependencies: ring_hold_policy_cloud_coverage_v1 (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../attempt-coverage.json). @@ -5231,9 +5588,9 @@ Dependencies: mode_hold_policy_cloud_coverage_v1 (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../attempt-coverage.json). @@ -5272,9 +5629,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1). @@ -5518,9 +5877,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../attempt-coverage.json). @@ -5559,9 +5918,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-bc3debd3fa5e-prior-ablation-full-suite-v1-tier-1). @@ -5805,9 +6166,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../attempt-coverage.json). @@ -5878,9 +6239,9 @@ Dependencies: mode_hold_policy_cloud_coverage_v1 (gate). ### trajectory -**trajectory: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -5934,7 +6295,7 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_conditional_pr **two_pole: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -6090,9 +6451,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6150,7 +6511,7 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -6248,9 +6609,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6370,9 +6731,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6484,9 +6845,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6598,9 +6959,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6720,9 +7081,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6846,9 +7207,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -6968,9 +7329,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Failed rail-escape bounds: mean_abs_error <= 0.005. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. zero_tanh_rail_escape: zero_tanh_rail_escape: unsupported tanh host zero_tanh_rail_escape; only zero_tanh_smoke is routed Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: mean_abs_error <= 0.005. [Attempt evidence](../attempt-coverage.json). @@ -7001,7 +7362,7 @@ Dependencies: zero_tanh_smoke (gate). **zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed origin point-mass contraction gates +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed origin point-mass contraction gates Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -7700,6 +8061,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](atlas.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](atlas.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -8050,6 +8448,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](atlas.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -8339,6 +8773,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](atlas.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](atlas.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -8651,6 +9122,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](atlas.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](atlas.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -9161,6 +9669,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -9206,7 +9849,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -9274,7 +9917,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11186,11 +11829,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -11202,7 +11884,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -11242,7 +11924,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -14257,6 +14939,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](atlas.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](atlas.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -14607,6 +15326,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](atlas.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -14896,6 +15651,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](atlas.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](atlas.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -15208,6 +16000,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](atlas.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](atlas.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -15743,6 +16572,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -15790,7 +16754,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -15858,7 +16822,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -17790,6 +18754,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -17800,7 +18803,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -17840,7 +18843,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](atlas.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-ada-nsgda.md b/reports/forge/families/bcap-ada-nsgda.md index b3e214ace..246ac2ea9 100644 --- a/reports/forge/families/bcap-ada-nsgda.md +++ b/reports/forge/families/bcap-ada-nsgda.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3292,6 +3574,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3302,7 +3623,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -3342,7 +3663,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -5303,6 +5624,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5653,6 +6011,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5794,6 +6188,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6106,6 +6537,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6530,6 +6998,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6575,7 +7178,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6608,7 +7211,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7888,6 +8491,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7898,7 +8540,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -7938,7 +8580,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-ada-nsgda.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-dualnorm-d-only.md b/reports/forge/families/bcap-dualnorm-d-only.md index 74bb60049..94448d597 100644 --- a/reports/forge/families/bcap-dualnorm-d-only.md +++ b/reports/forge/families/bcap-dualnorm-d-only.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3311,6 +3593,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3321,7 +3642,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3361,7 +3682,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5322,6 +5643,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5672,6 +6030,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5813,6 +6207,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6125,6 +6556,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6549,6 +7017,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6594,7 +7197,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6627,7 +7230,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7888,6 +8491,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7898,7 +8540,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7938,7 +8580,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm-d-only.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-dualnorm.md b/reports/forge/families/bcap-dualnorm.md index 9bd38d517..376f1fb5f 100644 --- a/reports/forge/families/bcap-dualnorm.md +++ b/reports/forge/families/bcap-dualnorm.md @@ -116,11 +116,11 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [1/6](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [13/22](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/25](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [12/22 (3 not run, 3 diagnostic attempts)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11 (4 not run, 1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18 (4 not run)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30 (8 not run, 2 diagnostic attempts)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 14 diagnostic attempts)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16 (1 diagnostic attempt)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | | [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): @@ -128,7 +128,7 @@ Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -144,14 +144,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | PASS | matches recorded run | | [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | | [two_pole](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -175,10 +175,10 @@ Shared experiments appear once in this list; the family numerator/denominator co | [img_stripes2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | | [mid_scale_identity](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [mode_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | | [residual_student](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [rotated100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | | [staggered100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | @@ -207,24 +207,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | PASS | recorded definition unavailable | -| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -239,21 +239,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -272,22 +272,22 @@ These tests keep running and keep this recipe's recorded result, but they do not | [vector_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | | [vector_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | | [vector_unequal_width](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -341,7 +341,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -664,13 +664,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | PASS | recorded definition unavailable | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -755,6 +755,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -777,11 +814,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | PASS | matches recorded run | | [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | | [precision_gaussian_fp32](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -801,10 +838,10 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [cover_leftover](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | | [mid_scale_identity](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | | [mode_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_two_broad](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | | [vector_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_unequal_width](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | | [vector_anisotropic](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | | [vector_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | @@ -816,8 +853,8 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | | [rotated100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | | [staggered100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -825,9 +862,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -835,21 +872,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -918,8 +955,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -992,8 +1029,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1083,8 +1120,8 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | | [rotated100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | | [staggered100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | @@ -1105,6 +1142,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1127,15 +1200,15 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | PASS | matches recorded run | | [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | -| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | | [gaussian1d_stability](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | | [five_word_joint_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | | [trajectory](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | @@ -1157,18 +1230,18 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [grid100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | | [rotated100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | | [staggered100](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1246,6 +1319,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1494,7 +1604,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1558,6 +1668,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1570,7 +1717,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1639,9 +1786,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1667,9 +1816,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cgan_overlapping_classes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cgan_overlapping_classes. [Attempt evidence](../attempt-coverage.json). @@ -1695,9 +1846,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/clockfree-receipt.json). @@ -1717,7 +1868,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **matches recorded run**. Test definition matches the recorded conditions. declared state/horizon/cadence/restart comparisons agree; source audit bound Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1771,7 +1922,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1818,9 +1969,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1845,9 +1998,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: insufficient terminal checks. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -2003,6 +2158,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2044,13 +2334,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an **five_word_joint_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. every joint generation/inverse check throughout the fixed continuation window +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. every joint generation/inverse check throughout the fixed continuation window Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `0` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2105,13 +2395,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2198,7 +2488,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2248,7 +2538,7 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w **gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. stationary hold, deadline reacquisition and shifted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. stationary hold, deadline reacquisition and shifted hold Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2301,7 +2591,7 @@ Dependencies: gaussian1d_smoke (checkpoint). **grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2368,9 +2658,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2485,9 +2777,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2563,9 +2857,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2604,9 +2900,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, min_cov_eig_ratio >= 0.4, max_cov_eig_ratio <= 1.7. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2645,7 +2943,7 @@ Dependencies: grid100 (gate). **img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2738,7 +3036,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2805,7 +3103,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2872,7 +3170,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2963,9 +3261,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: insufficient terminal checks. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -2994,7 +3294,7 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; **mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3043,9 +3343,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -3070,9 +3372,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3099,9 +3403,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3128,9 +3434,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3159,7 +3467,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3198,9 +3506,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3272,9 +3582,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3339,11 +3651,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3374,11 +3686,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3403,9 +3715,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3473,9 +3787,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3532,17 +3848,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-d278a74af331d2f3b7807234.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3576,13 +3931,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-d278a74af331d2f3b7807234.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3616,9 +3971,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3642,9 +3999,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3764,7 +4123,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3807,7 +4166,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3886,9 +4245,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: recon_rmse. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: recon_rmse. [Attempt evidence](../attempt-coverage.json). @@ -3913,9 +4274,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3945,9 +4306,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -3979,7 +4340,7 @@ Dependencies: mode_hold (gate). **rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4046,9 +4407,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4126,7 +4489,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4193,9 +4556,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4271,9 +4636,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4296,7 +4661,7 @@ Dependencies: mode_hold (gate). **trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4335,7 +4700,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4464,7 +4829,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part **unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4507,7 +4872,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4578,7 +4943,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para **vector_anisotropic: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4654,7 +5019,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4724,7 +5089,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4794,7 +5159,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4870,7 +5235,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4949,7 +5314,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -5023,9 +5388,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. [Attempt evidence](../attempt-coverage.json). @@ -5052,9 +5417,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (current_source_readout; qualification unchanged). failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). @@ -5734,6 +6099,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -6084,6 +6486,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -6225,6 +6663,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6537,6 +7012,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6961,6 +7473,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -7006,7 +7653,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7039,7 +7686,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -8313,11 +8960,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -8329,7 +9015,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -8369,7 +9055,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -10330,6 +11016,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10680,6 +11403,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10821,6 +11580,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -11133,6 +11929,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11557,6 +12390,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11602,7 +12570,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11635,7 +12603,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12896,6 +13864,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -12906,7 +13913,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -12946,7 +13953,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-dualnorm.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-nsgda-global.md b/reports/forge/families/bcap-nsgda-global.md index 1c96a2506..085e06645 100644 --- a/reports/forge/families/bcap-nsgda-global.md +++ b/reports/forge/families/bcap-nsgda-global.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-nsgda-global.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3311,6 +3593,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3321,7 +3642,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3361,7 +3682,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5322,6 +5643,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5672,6 +6030,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5813,6 +6207,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6125,6 +6556,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6549,6 +7017,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6594,7 +7197,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6627,7 +7230,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7888,6 +8491,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7898,7 +8540,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7938,7 +8580,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-global.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-nsgda-layer.md b/reports/forge/families/bcap-nsgda-layer.md index 466acbca3..94f905a7a 100644 --- a/reports/forge/families/bcap-nsgda-layer.md +++ b/reports/forge/families/bcap-nsgda-layer.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3311,6 +3593,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3321,7 +3642,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3361,7 +3682,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5324,6 +5645,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5674,6 +6032,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5815,6 +6209,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6127,6 +6558,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6551,6 +7019,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6596,7 +7199,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6629,7 +7232,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7890,6 +8493,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7900,7 +8542,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7940,7 +8582,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-nsgda-layer.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-particle-rownorm-only.md b/reports/forge/families/bcap-particle-rownorm-only.md index 8291798e0..f991da092 100644 --- a/reports/forge/families/bcap-particle-rownorm-only.md +++ b/reports/forge/families/bcap-particle-rownorm-only.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3292,6 +3574,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3302,7 +3623,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -3342,7 +3663,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -5303,6 +5624,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5653,6 +6011,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5794,6 +6188,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6106,6 +6537,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6530,6 +6998,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6575,7 +7178,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6608,7 +7211,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7888,6 +8491,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7898,7 +8540,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -7938,7 +8580,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-particle-rownorm-only.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-pure-configuration.md b/reports/forge/families/bcap-pure-configuration.md index 1f25e207c..4de827fb5 100644 --- a/reports/forge/families/bcap-pure-configuration.md +++ b/reports/forge/families/bcap-pure-configuration.md @@ -768,6 +768,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1118,6 +1155,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1259,6 +1332,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | changed since run | +| [five_word_joint_hold](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1571,6 +1681,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1976,6 +2123,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2021,7 +2303,7 @@ Test definition: **changed since run**. Test definition changed since this run: Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2056,7 +2338,7 @@ Test definition: **changed since run**. Test definition changed since this run: Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -3323,6 +3605,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3333,7 +3654,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3373,7 +3694,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -5297,6 +5618,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5647,6 +6005,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5788,6 +6182,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6100,6 +6531,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6528,6 +6996,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6573,7 +7176,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6606,7 +7209,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7867,6 +8470,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7877,7 +8519,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7917,7 +8559,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure-configuration.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-pure.md b/reports/forge/families/bcap-pure.md index aaf5e3ad4..e649833a9 100644 --- a/reports/forge/families/bcap-pure.md +++ b/reports/forge/families/bcap-pure.md @@ -141,18 +141,18 @@ These are whole configurations under their original sources. Their individual pa | Configuration | Required passes | Executed source | Display selection | | --- | ---: | --- | --- | -| [recipe-prior-refactor-bcap-pure-v1](bcap-dualnorm.md) | 72/115 | `a5eafc73e4c4` | Selected | +| [recipe-prior-refactor-bcap-pure-v1](bcap-dualnorm.md) | 71/115 (11 not run, 8 diagnostic attempts) | `a5eafc73e4c4` | Selected | | [bcap-pure-adam-v2](bcap-pure-configuration.md) | 0/115 (115 not run) | `cbb19c5e55e9` | Alternative | | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [1/6](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [13/22](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/25](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [12/22 (3 not run, 3 diagnostic attempts)](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11 (4 not run, 1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18 (4 not run)](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30 (8 not run, 2 diagnostic attempts)](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 14 diagnostic attempts)](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16 (1 diagnostic attempt)](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | | [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): @@ -160,7 +160,7 @@ Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](bcap-pure.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -176,14 +176,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | PASS | matches recorded run | | [five_word_joint_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | | [two_pole](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -207,10 +207,10 @@ Shared experiments appear once in this list; the family numerator/denominator co | [img_stripes2](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | | [mid_scale_identity](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [mode_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | | [residual_student](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [rotated100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | | [staggered100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | @@ -239,24 +239,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | PASS | recorded definition unavailable | -| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -271,21 +271,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -304,22 +304,22 @@ These tests keep running and keep this recipe's recorded result, but they do not | [vector_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | | [vector_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | | [vector_unequal_width](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -373,7 +373,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -696,13 +696,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | PASS | recorded definition unavailable | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -787,6 +787,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -809,11 +846,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | PASS | matches recorded run | | [five_word_joint_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | | [precision_gaussian_fp32](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -833,10 +870,10 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [cover_leftover](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | | [mid_scale_identity](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | | [mode_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_two_broad](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | | [vector_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_unequal_width](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | | [vector_anisotropic](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | | [vector_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | @@ -848,8 +885,8 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | | [rotated100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | | [staggered100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -857,9 +894,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -867,21 +904,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -950,8 +987,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1024,8 +1061,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1115,8 +1152,8 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | | [rotated100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | | [staggered100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | @@ -1137,6 +1174,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1159,15 +1232,15 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | PASS | matches recorded run | | [five_word_joint_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | -| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | | [gaussian1d_stability](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | | [five_word_joint_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | | [trajectory](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | @@ -1189,18 +1262,18 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [grid100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | | [rotated100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | | [staggered100](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1278,6 +1351,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1526,7 +1636,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1590,6 +1700,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1602,7 +1749,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1671,9 +1818,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1699,9 +1848,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cgan_overlapping_classes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cgan_overlapping_classes. [Attempt evidence](../attempt-coverage.json). @@ -1727,9 +1878,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/clockfree-receipt.json). @@ -1749,7 +1900,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **matches recorded run**. Test definition matches the recorded conditions. declared state/horizon/cadence/restart comparisons agree; source audit bound Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1803,7 +1954,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1850,9 +2001,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1877,9 +2030,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: insufficient terminal checks. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -2035,6 +2190,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2076,13 +2366,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an **five_word_joint_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. every joint generation/inverse check throughout the fixed continuation window +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. every joint generation/inverse check throughout the fixed continuation window Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `0` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2137,13 +2427,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2230,7 +2520,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2280,7 +2570,7 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w **gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. stationary hold, deadline reacquisition and shifted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. stationary hold, deadline reacquisition and shifted hold Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2333,7 +2623,7 @@ Dependencies: gaussian1d_smoke (checkpoint). **grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2400,9 +2690,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2517,9 +2809,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2595,9 +2889,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2636,9 +2932,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, min_cov_eig_ratio >= 0.4, max_cov_eig_ratio <= 1.7. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2677,7 +2975,7 @@ Dependencies: grid100 (gate). **img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2770,7 +3068,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2837,7 +3135,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2904,7 +3202,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2995,9 +3293,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: insufficient terminal checks. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -3026,7 +3326,7 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; **mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3075,9 +3375,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -3102,9 +3404,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3131,9 +3435,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3160,9 +3466,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3191,7 +3499,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3230,9 +3538,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3304,9 +3614,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3371,11 +3683,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3406,11 +3718,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3435,9 +3747,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3505,9 +3819,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3564,17 +3880,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-d278a74af331d2f3b7807234.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3608,13 +3963,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-d278a74af331d2f3b7807234.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3648,9 +4003,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3674,9 +4031,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3796,7 +4155,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3839,7 +4198,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3918,9 +4277,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: recon_rmse. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: recon_rmse. [Attempt evidence](../attempt-coverage.json). @@ -3945,9 +4306,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3977,9 +4338,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4011,7 +4372,7 @@ Dependencies: mode_hold (gate). **rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4078,9 +4439,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4158,7 +4521,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4225,9 +4588,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4303,9 +4668,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4328,7 +4693,7 @@ Dependencies: mode_hold (gate). **trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4367,7 +4732,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4496,7 +4861,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part **unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4539,7 +4904,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4610,7 +4975,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para **vector_anisotropic: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4686,7 +5051,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4756,7 +5121,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4826,7 +5191,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4902,7 +5267,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4981,7 +5346,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -5055,9 +5420,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. [Attempt evidence](../attempt-coverage.json). @@ -5084,9 +5449,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (current_source_readout; qualification unchanged). failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 [Attempt evidence](../records/readout-0df182292d888440f5fb32ce.json). @@ -5798,6 +6163,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-pure.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-pure.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -6148,6 +6550,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-pure.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -6289,6 +6727,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-pure.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-pure.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6601,6 +7076,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-pure.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -7025,6 +7537,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -7070,7 +7717,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7103,7 +7750,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -8377,11 +9024,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -8393,7 +9079,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -8433,7 +9119,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -10428,6 +11114,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10778,6 +11501,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10919,6 +11678,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -11231,6 +12027,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-pure.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11659,6 +12492,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11704,7 +12672,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11737,7 +12705,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12998,6 +13966,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -13008,7 +14015,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -13048,7 +14055,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-pure.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap-sgda.md b/reports/forge/families/bcap-sgda.md index 9ce0abd22..7d420c935 100644 --- a/reports/forge/families/bcap-sgda.md +++ b/reports/forge/families/bcap-sgda.md @@ -726,6 +726,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1076,6 +1113,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1217,6 +1290,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1529,6 +1639,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-sgda.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1953,6 +2100,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1998,7 +2280,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2031,7 +2313,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3311,6 +3593,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3321,7 +3642,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3361,7 +3682,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-sgda.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5322,6 +5643,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5672,6 +6030,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5813,6 +6207,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6125,6 +6556,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap-sgda.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6549,6 +7017,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6594,7 +7197,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6627,7 +7230,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7888,6 +8491,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7898,7 +8540,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7938,7 +8580,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap-sgda.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bcap.md b/reports/forge/families/bcap.md index 108ef83dc..bc620927d 100644 --- a/reports/forge/families/bcap.md +++ b/reports/forge/families/bcap.md @@ -769,6 +769,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1119,6 +1156,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1260,6 +1333,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1572,6 +1682,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1990,6 +2137,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2035,7 +2317,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2068,7 +2350,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3348,6 +3630,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3358,7 +3679,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3398,7 +3719,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5359,6 +5680,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bcap.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bcap.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5709,6 +6067,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bcap.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5850,6 +6244,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bcap.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](bcap.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6162,6 +6593,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bcap.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bcap.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6602,6 +7070,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6647,7 +7250,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6680,7 +7283,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7941,6 +8544,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7951,7 +8593,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7991,7 +8633,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bcap.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/bispf.md b/reports/forge/families/bispf.md index 7c5c2b3ef..5e1678091 100644 --- a/reports/forge/families/bispf.md +++ b/reports/forge/families/bispf.md @@ -131,9 +131,9 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [12/16](bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [2/6](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [15/22](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [7/11](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [10/18](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [1/1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/25](bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [12/16 (1 diagnostic attempt)](bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [1/6 (3 not run, 2 diagnostic attempts)](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [14/22 (3 not run, 2 diagnostic attempts)](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11 (4 not run, 1 diagnostic attempt)](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [10/18 (4 not run)](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [1/1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [17/30 (8 not run, 1 diagnostic attempt)](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 14 diagnostic attempts)](bispf.md#cohort-cuda-1bf9d7d34422-held) | | [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [1/1](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [13/16](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | | [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [1/1](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [13/16](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | | [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [9/12](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [12/15](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-held) | @@ -145,7 +145,7 @@ Separate cohort coverage (excluded from family totals): | [bispf_throughput_endurance](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance-tier-1) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance-tier-4) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_endurance) | | [bispf_throughput_small](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small-tier-1) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small-tier-4) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-bispf_throughput_small) | | [lazy_cadence_coverage](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](bispf.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -161,14 +161,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | PASS | matches recorded run | | [five_word_joint_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | | [two_pole](bispf.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -192,10 +192,10 @@ Shared experiments appear once in this list; the family numerator/denominator co | [img_stripes2](bispf.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | | [mid_scale_identity](bispf.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [mode_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | | [residual_student](bispf.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | | [rotated100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | | [staggered100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | @@ -224,18 +224,18 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | PASS | recorded definition unavailable | -| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | | [ring_extension](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | PASS | matches recorded run | -| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): @@ -256,21 +256,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -289,22 +289,22 @@ These tests keep running and keep this recipe's recorded result, but they do not | [vector_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | | [vector_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | | [vector_unequal_width](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -358,7 +358,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -760,13 +760,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | PASS | recorded definition unavailable | +| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | | [ring_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | PASS | matches recorded run | | [ring_extension](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | PASS | matches recorded run | -| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -851,6 +851,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -873,11 +910,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | PASS | matches recorded run | | [five_word_joint_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | FAIL | recorded definition unavailable | -| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | | [precision_gaussian_fp32](bispf.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](bispf.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -897,10 +934,10 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [cover_leftover](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | | [mid_scale_identity](bispf.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | | [mode_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | PASS | matches recorded run | -| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_two_broad](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | | [vector_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | | [vector_unequal_width](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | | [vector_anisotropic](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | | [vector_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | @@ -912,8 +949,8 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | | [rotated100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | | [staggered100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -923,7 +960,7 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [ring_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | PASS | matches recorded run | | [ring_extension](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | PASS | matches recorded run | -| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -931,21 +968,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](bispf.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](bispf.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -1201,6 +1238,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1223,15 +1296,15 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | PASS | matches recorded run | | [five_word_joint_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | FAIL | recorded definition unavailable | +| [zero_tanh_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | PASS | matches recorded run | -| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | | [gaussian1d_stability](bispf.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | | [five_word_joint_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | | [trajectory](bispf.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | @@ -1253,18 +1326,18 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [grid100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | | [rotated100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | | [staggered100](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | +| [model_ae_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | | [ring_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | PASS | matches recorded run | | [ring_extension](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | PASS | matches recorded run | -| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1342,6 +1415,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1590,7 +1700,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | PASS | recorded definition unavailable | +| [clockfree_audit](bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1654,6 +1764,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1666,7 +1813,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -1735,9 +1882,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed alice_spiral_bigan bounds: insufficient terminal checks. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed alice_spiral_bigan bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -1763,9 +1912,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cgan_overlapping_classes. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cgan_overlapping_classes. [Attempt evidence](../attempt-coverage.json). @@ -1791,9 +1942,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (new_attempt; qualification unchanged). declared state/horizon/cadence/restart comparisons agree; source audit bound [Attempt evidence](../attempt-coverage.json). @@ -1813,7 +1964,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: PASS**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. declared state/horizon/cadence/restart comparisons agree; source audit bound +Test definition: **matches recorded run**. Test definition matches the recorded conditions. declared state/horizon/cadence/restart comparisons agree; source audit bound Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -1867,7 +2018,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -1914,9 +2065,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1941,9 +2094,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. [Attempt evidence](../attempt-coverage.json). @@ -2099,6 +2254,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2140,13 +2430,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an **five_word_joint_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. every joint generation/inverse check throughout the fixed continuation window +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. every joint generation/inverse check throughout the fixed continuation window Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2201,13 +2491,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2294,7 +2584,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2344,7 +2634,7 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w **gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. stationary hold, deadline reacquisition and shifted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. stationary hold, deadline reacquisition and shifted hold Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2397,7 +2687,7 @@ Dependencies: gaussian1d_smoke (checkpoint). **grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2464,9 +2754,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2581,9 +2873,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2659,9 +2953,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2700,9 +2996,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2741,7 +3039,7 @@ Dependencies: grid100 (gate). **img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2834,7 +3132,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2901,7 +3199,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -2968,7 +3266,7 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou **img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -3059,9 +3357,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: hq. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: hq. [Attempt evidence](../attempt-coverage.json). @@ -3090,7 +3390,7 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; **mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -3139,9 +3439,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -3166,9 +3468,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3195,9 +3499,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3224,9 +3530,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3255,7 +3563,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **mode_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -3294,9 +3602,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3368,9 +3678,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3435,11 +3747,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-143d85d4540548b0ecec1604.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3470,11 +3782,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-143d85d4540548b0ecec1604.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3499,9 +3811,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3569,9 +3883,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3628,17 +3944,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-1d42b97bbb8f1366a766a233.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3672,13 +4027,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-1d42b97bbb8f1366a766a233.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3712,9 +4067,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3738,9 +4095,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3860,7 +4219,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -3903,7 +4262,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -3982,9 +4341,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: hq, recon_rmse. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: hq, recon_rmse. [Attempt evidence](../attempt-coverage.json). @@ -4011,7 +4372,7 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w **ring_extension: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed every extension observation without selecting another window +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed every extension observation without selecting another window Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4073,7 +4434,7 @@ Dependencies: ring_hold (checkpoint). **ring_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed first-convergence hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed first-convergence hold Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4133,7 +4494,7 @@ Dependencies: mode_hold (gate). **rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4200,9 +4561,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4280,7 +4643,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. coverage, sustained live accuracy, or independent holdout failed Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4347,9 +4710,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](bispf.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4425,9 +4790,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../attempt-coverage.json). @@ -4450,7 +4815,7 @@ Dependencies: mode_hold (gate). **trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4489,7 +4854,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4618,7 +4983,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part **unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4661,7 +5026,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4732,7 +5097,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para **vector_anisotropic: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4808,7 +5173,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4878,7 +5243,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -4948,7 +5313,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -5024,7 +5389,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -5103,7 +5468,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_selected_row; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../technique-inventory.json). @@ -5177,9 +5542,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025. [Attempt evidence](../attempt-coverage.json). @@ -5206,9 +5571,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (current_source_readout; qualification unchanged). failed thresholds: mean_abs_error <= 0.005, rms_error <= 0.01 [Attempt evidence](../records/readout-143d85d4540548b0ecec1604.json). diff --git a/reports/forge/families/e22.md b/reports/forge/families/e22.md index 3775665b9..f352e7446 100644 --- a/reports/forge/families/e22.md +++ b/reports/forge/families/e22.md @@ -163,21 +163,21 @@ Selection: historical_incumbent. Retain the declared selected recipe after expli | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/3](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [7/12](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [9/16](e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](e22.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/4](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [7/12](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [9/22](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](e22.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [7/11](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [7/18](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [14/30](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](e22.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/3](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [7/12](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [9/16](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](e22.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/3](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [7/12](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [9/16](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](e22.md#cohort-cuda-1bf9d7d34422-held) | -| [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/3](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [7/12](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [9/15](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/3 (3 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [0/16 (16 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/4 (4 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 incompatible, 3 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [0/22 (3 incompatible, 19 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/11 (4 not run, 7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [0/30 (8 not run, 22 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/3 (3 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [0/16 (16 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/3 (3 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [0/16 (16 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | +| [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/3 (3 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [0/15 (15 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](e22.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [policy_cloud_coverage](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage) | [1/7](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-1) | [5/21](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-2) | [0/7](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-4) | [6/35](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage) | -| [policy_cloud_coverage_as_served](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served) | [1/7](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-1) | [5/21](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-2) | [1/7](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-4) | [7/35](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served) | -| [tier1_policy_coverage](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [policy_cloud_coverage](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage) | [1/7 (3 incompatible)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-1) | [5/21 (6 incompatible)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-2) | [0/7 (1 blocked)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage-tier-4) | [6/35 (9 incompatible, 1 blocked)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage) | +| [policy_cloud_coverage_as_served](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served) | [1/7 (3 incompatible)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-1) | [5/21 (6 incompatible)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-2) | [1/7 (1 blocked)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served-tier-4) | [7/35 (9 incompatible, 1 blocked)](e22.md#cohort-cuda-1bf9d7d34422-policy_cloud_coverage_as_served) | +| [tier1_policy_coverage](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](e22.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | Policy-cloud cells come from the [cohort report](../atlas-e22-policy-cloud-20261015/README.md#e22) ([records](../atlas-e22-policy-cloud-20261015/records.json)): frozen source `43b7e079c67a`, candidate revision `7fb961e1e2fc`, verified there to run this selected recipe. Each law is its own row; the 12 law-independent verdicts come from one run and appear in both. These diagnostics give no parent-cohort credit. @@ -191,18 +191,18 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | FAIL | matches recorded run | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | changed since run | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | matches recorded run | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | BLOCKED | changed since run | +| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | BLOCKED | matches recorded run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | BLOCKED | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | BLOCKED | matches recorded run | +| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | BLOCKED | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | BLOCKED | changed since run | +| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -219,36 +219,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | changed since run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | BLOCKED | changed since run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | changed since run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | matches recorded run | @@ -258,24 +258,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | BLOCKED | matches recorded run | +| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | PASS | recorded definition unavailable | +| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | BLOCKED | @@ -290,21 +290,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -316,29 +316,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](e22.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](e22.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | BLOCKED | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -356,9 +356,9 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | @@ -366,25 +366,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | @@ -392,7 +392,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -416,27 +416,27 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -472,22 +472,22 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | -| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | BLOCKED | changed since run | +| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -523,7 +523,7 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | FAIL | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | BLOCKED | changed since run | @@ -559,7 +559,7 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | FAIL | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | BLOCKED | changed since run | @@ -595,10 +595,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | @@ -678,10 +678,10 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | -| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | required | FAIL | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | +| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | required | BLOCKED | matches recorded run | @@ -689,25 +689,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | @@ -715,13 +715,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | FAIL | recorded definition unavailable | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | BLOCKED | matches recorded run | +| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -806,6 +806,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](e22.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -822,18 +859,18 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | required | PASS | matches recorded run | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | -| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | FAIL | matches recorded run | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | FAIL | changed since run | -| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | PASS | recorded definition unavailable | -| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | PASS | recorded definition unavailable | -| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | PASS | recorded definition unavailable | -| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | required | BLOCKED | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | +| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | BLOCKED | matches recorded run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | BLOCKED | changed since run | +| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | +| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | BLOCKED | matches recorded run | | [precision_gaussian_fp32](e22.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](e22.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | | [precision_gaussian_nvfp4](e22.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -844,31 +881,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | +| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -876,9 +913,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | BLOCKED | matches recorded run | +| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -886,21 +923,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](e22.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](e22.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](e22.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](e22.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -918,9 +955,9 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | @@ -928,25 +965,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | | [img_intensity2_residual16](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -969,8 +1006,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | BLOCKED | matches recorded run | @@ -994,9 +1031,9 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | @@ -1004,25 +1041,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | | [img_intensity2_residual16](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1043,8 +1080,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | BLOCKED | matches recorded run | @@ -1107,36 +1144,36 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | -| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | BLOCKED | changed since run | +| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | BLOCKED | matches recorded run | +| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | BLOCKED | matches recorded run | @@ -1156,6 +1193,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -1320,54 +1393,54 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | -| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | PASS | recorded definition unavailable | -| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | PASS | recorded definition unavailable | -| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | diagnostic | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | diagnostic | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | BLOCKED | changed since run | +| [ring16_acquisition](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [zero_tanh_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [clockfree_audit_measurement_v1](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | BLOCKED | matches recorded run | +| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | | [img_stripes2_residual16](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | PASS | recorded definition unavailable | -| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | +| [model_ae_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | BLOCKED | matches recorded run | +| [ring_extension](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | BLOCKED | matches recorded run | +| [zero_tanh_rail_escape](e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1403,9 +1476,9 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | FAIL | changed since run | -| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | PASS | changed since run | -| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | +| [two_pole](e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | required | BLOCKED | changed since run | +| [unused_token_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | required | BLOCKED | changed since run | +| [ae_gan_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | BLOCKED | changed since run | @@ -1413,25 +1486,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | BLOCKED | changed since run | @@ -1445,6 +1518,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1461,29 +1571,29 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -1519,29 +1629,29 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -1577,29 +1687,29 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -1635,29 +1745,29 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | FAIL | changed since run | -| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [five_word_joint_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | BLOCKED | changed since run | +| [gaussian1d_smoke](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | BLOCKED | matches recorded run | +| [gaussian1d_stability](e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | BLOCKED | matches recorded run | +| [five_word_joint_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | BLOCKED | changed since run | +| [trajectory](e22.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | BLOCKED | changed since run | +| [residual_student](e22.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | BLOCKED | changed since run | +| [unipolar](e22.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | BLOCKED | changed since run | +| [cover_leftover](e22.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | BLOCKED | changed since run | +| [mid_scale_identity](e22.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | BLOCKED | changed since run | +| [mode_hold](e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | BLOCKED | matches recorded run | +| [vector_two_broad](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_mass](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | BLOCKED | matches recorded run | +| [vector_unequal_width](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | BLOCKED | matches recorded run | +| [vector_anisotropic](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | BLOCKED | matches recorded run | +| [vector_overlap](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | BLOCKED | matches recorded run | +| [vector_spiral](e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | BLOCKED | matches recorded run | +| [img_stripes2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | BLOCKED | matches recorded run | +| [img_bars4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | BLOCKED | matches recorded run | +| [img_blobs4](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | BLOCKED | matches recorded run | +| [img_intensity2](e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | BLOCKED | matches recorded run | +| [grid100](e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | BLOCKED | changed since run | +| [rotated100](e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | BLOCKED | changed since run | +| [staggered100](e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | BLOCKED | changed since run | @@ -1693,7 +1803,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | +| [clockfree_audit](e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1757,6 +1867,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1767,9 +1914,11 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch ### ae_gan_hold -**ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). +**ae_gan_hold: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: ae_gan_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -1854,9 +2003,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1882,9 +2033,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cgan_overlapping_classes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cgan_overlapping_classes. [Attempt evidence](../attempt-coverage.json). @@ -1910,9 +2063,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Skipped incompatible test: clockfree_audit: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -1930,9 +2083,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit_measurement_v1 -**clockfree_audit_measurement_v1: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). +**clockfree_audit_measurement_v1: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: clockfree_audit_measurement_v1: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -2018,9 +2171,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -2082,9 +2237,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -2109,9 +2266,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. [Attempt evidence](../attempt-coverage.json). @@ -2267,6 +2426,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2306,13 +2600,15 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Required checkpoint prerequisite five_word_joint_smoke executed and failed (FAIL). +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: five_word_joint_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite five_word_joint_smoke executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2376,13 +2672,15 @@ Dependencies: five_word_joint_smoke_policy_cloud_coverage_v1 (checkpoint). ### five_word_joint_smoke -**five_word_joint_smoke: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). +**five_word_joint_smoke: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: five_word_joint_smoke: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). any scheduled full joint pass plus independent same-state confirmation [Attempt evidence](../attempt-coverage.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2476,9 +2774,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### gaussian1d_smoke -**gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). +**gaussian1d_smoke: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: gaussian1d_smoke: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). any scheduled full pass with independent same-state confirmation [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -2575,9 +2873,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. stationary hold, deadline reacquisition and shifted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: gaussian1d_stability: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). stationary hold, deadline reacquisition and shifted hold [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -2683,9 +2981,9 @@ Dependencies: gaussian1d_smoke_policy_cloud_coverage_v1 (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: grid100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -2724,9 +3022,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Skipped incompatible test: grid100_14k: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Execution: **incompatible; skipped**. Used by: [clockfree_continuous / Tier 3](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2927,9 +3227,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -3087,9 +3389,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -3128,9 +3432,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -3167,9 +3473,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: img_bars4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -3303,9 +3609,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -3413,9 +3719,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: img_intensity2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -3523,9 +3829,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -3659,9 +3965,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq. [Attempt evidence](../attempt-coverage.json). @@ -3688,9 +3996,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -3756,9 +4066,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -3783,9 +4095,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3812,9 +4126,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3841,9 +4157,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3870,9 +4188,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: mode_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -3954,9 +4272,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4028,9 +4348,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4095,11 +4417,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4130,11 +4452,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4159,9 +4481,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4229,9 +4553,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4288,17 +4614,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -4332,13 +4697,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -4372,9 +4737,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, modes. [Attempt evidence](../attempt-coverage.json). @@ -4398,9 +4765,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -4518,9 +4887,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -4576,9 +4947,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_conditional_pr ### ring16_acquisition -**ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). +**ring16_acquisition: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: ring16_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -4704,9 +5075,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: hq, mass_tv, recon_rmse. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: hq, mass_tv, recon_rmse. [Attempt evidence](../attempt-coverage.json). @@ -4731,9 +5104,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). + +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -4827,9 +5202,9 @@ Dependencies: ring_hold_policy_cloud_coverage_v1 (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -4923,9 +5298,9 @@ Dependencies: mode_hold_policy_cloud_coverage_v1 (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -4964,9 +5339,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Skipped incompatible test: rotated100_14k: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Execution: **incompatible; skipped**. Used by: [clockfree_continuous / Tier 3](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -5210,9 +5587,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: staggered100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). coverage, sustained live accuracy, or independent holdout failed [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -5251,9 +5628,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Skipped incompatible test: staggered100_14k: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. coverage, sustained live accuracy, or independent holdout failed +Execution: **incompatible; skipped**. Used by: [clockfree_continuous / Tier 3](e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -5497,9 +5876,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_public_prior_w ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Skipped incompatible test: target_shift_recovery: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -5570,9 +5949,11 @@ Dependencies: mode_hold_policy_cloud_coverage_v1 (gate). ### trajectory -**trajectory: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -5624,9 +6005,9 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_conditional_pr ### two_pole -**two_pole: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). +**two_pole: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -5769,9 +6150,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: unipolar: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -5827,9 +6210,11 @@ Current measurement: particle_cloud prior (sigma 0); policy_cloud_learned_parame ### unused_token_hold -**unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). +**unused_token_hold: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). + +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. Skipped incompatible test: unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../attempt-coverage.json). @@ -5914,9 +6299,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_anisotropic: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6036,9 +6421,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_overlap: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6150,9 +6535,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6264,9 +6649,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **PASS** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6386,9 +6771,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6512,9 +6897,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: BLOCKED**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Skipped incompatible test: vector_unequal_width: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation Run attempt: **FAIL** (policy_cloud_execution; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../atlas-e22-policy-cloud-20261015/records.json). @@ -6634,9 +7019,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. All pre-shift and post-deadline rail-escape bounds passed. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). All pre-shift and post-deadline rail-escape bounds passed. [Attempt evidence](../attempt-coverage.json). @@ -6663,9 +7050,11 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed origin point-mass contraction gates +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). recomputed origin point-mass contraction gates [Attempt evidence](../attempt-coverage.json). @@ -7347,6 +7736,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](e22.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](e22.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -7697,6 +8123,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](e22.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -7986,6 +8448,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](e22.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](e22.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -8298,6 +8797,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](e22.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -8808,6 +9344,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -8853,7 +9524,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -8921,7 +9592,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -10833,11 +11504,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -10849,7 +11559,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -10889,7 +11599,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -13904,6 +14614,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](e22.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](e22.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -14254,6 +15001,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](e22.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## policy_cloud_coverage @@ -14543,6 +15326,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](e22.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](e22.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -14855,6 +15675,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](e22.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](e22.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -15390,6 +16247,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -15437,7 +16429,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -15505,7 +16497,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -17437,6 +18429,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -17447,7 +18478,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -17487,7 +18518,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](e22.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](e22.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](e22.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/halloween.md b/reports/forge/families/halloween.md index d8bce021b..847d56606 100644 --- a/reports/forge/families/halloween.md +++ b/reports/forge/families/halloween.md @@ -718,6 +718,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](halloween.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](halloween.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1068,6 +1105,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](halloween.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1209,6 +1282,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](halloween.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](halloween.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1521,6 +1631,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](halloween.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](halloween.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1926,6 +2073,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -1971,7 +2253,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](halloween.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2004,7 +2286,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](halloween.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3269,6 +3551,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3279,7 +3600,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3319,7 +3640,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](halloween.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](halloween.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](halloween.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/k3p-no-a2.md b/reports/forge/families/k3p-no-a2.md index 877685ab0..c5e96c240 100644 --- a/reports/forge/families/k3p-no-a2.md +++ b/reports/forge/families/k3p-no-a2.md @@ -770,6 +770,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1120,6 +1157,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1261,6 +1334,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1573,6 +1683,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-a2.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1991,6 +2138,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2036,7 +2318,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2069,7 +2351,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3349,6 +3631,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3359,7 +3680,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3399,7 +3720,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5360,6 +5681,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5710,6 +6068,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5851,6 +6245,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6163,6 +6594,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-a2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6603,6 +7071,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6648,7 +7251,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6681,7 +7284,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7942,6 +8545,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7952,7 +8594,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7992,7 +8634,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-a2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/k3p-no-anchor.md b/reports/forge/families/k3p-no-anchor.md index 3c0467a7f..0c50340f2 100644 --- a/reports/forge/families/k3p-no-anchor.md +++ b/reports/forge/families/k3p-no-anchor.md @@ -770,6 +770,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1120,6 +1157,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1261,6 +1334,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1573,6 +1683,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -2013,6 +2160,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2058,7 +2340,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2091,7 +2373,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3352,6 +3634,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3362,7 +3683,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -3402,7 +3723,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -5369,6 +5690,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5719,6 +6077,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5860,6 +6254,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6172,6 +6603,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-anchor.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6590,6 +7058,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6635,7 +7238,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6668,7 +7271,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7948,6 +8551,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7958,7 +8600,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -7998,7 +8640,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-anchor.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/k3p-no-penalty.md b/reports/forge/families/k3p-no-penalty.md index 852680d48..47da267ce 100644 --- a/reports/forge/families/k3p-no-penalty.md +++ b/reports/forge/families/k3p-no-penalty.md @@ -764,6 +764,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1114,6 +1151,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1255,6 +1328,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1567,6 +1677,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-penalty.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1985,6 +2132,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2030,7 +2312,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2063,7 +2345,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3343,6 +3625,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3353,7 +3674,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3393,7 +3714,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5354,6 +5675,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5704,6 +6062,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5845,6 +6239,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6157,6 +6588,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6597,6 +7065,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6642,7 +7245,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6675,7 +7278,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7936,6 +8539,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7946,7 +8588,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7986,7 +8628,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-penalty.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/k3p-no-training-noise.md b/reports/forge/families/k3p-no-training-noise.md index e7d9487b3..39102d351 100644 --- a/reports/forge/families/k3p-no-training-noise.md +++ b/reports/forge/families/k3p-no-training-noise.md @@ -772,6 +772,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1122,6 +1159,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1263,6 +1336,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1575,6 +1685,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-training-noise.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1993,6 +2140,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2038,7 +2320,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2071,7 +2353,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3351,6 +3633,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3361,7 +3682,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -3401,7 +3722,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -5362,6 +5683,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5712,6 +6070,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5853,6 +6247,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6165,6 +6596,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6604,6 +7072,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6649,7 +7252,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6682,7 +7285,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7943,6 +8546,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -7953,7 +8595,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -7993,7 +8635,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p-no-training-noise.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/k3p.md b/reports/forge/families/k3p.md index 68f1070ee..eb851f06a 100644 --- a/reports/forge/families/k3p.md +++ b/reports/forge/families/k3p.md @@ -162,19 +162,19 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [11/22](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/11](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](k3p.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](k3p.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -190,14 +190,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | FAIL | matches recorded run | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | matches recorded run | | [two_pole](k3p.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -214,36 +214,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | PASS | changed since run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | @@ -253,24 +253,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | PASS | recorded definition unavailable | +| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -285,21 +285,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | +| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -311,29 +311,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](k3p.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -361,25 +361,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -387,7 +387,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -412,26 +412,26 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -473,16 +473,16 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | [ae_gan_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -590,10 +590,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | @@ -684,25 +684,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -710,13 +710,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | FAIL | recorded definition unavailable | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -801,6 +801,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -823,11 +860,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | FAIL | matches recorded run | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | PASS | recorded definition unavailable | -| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | PASS | recorded definition unavailable | -| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | PASS | recorded definition unavailable | +| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | | [precision_gaussian_fp32](k3p.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](k3p.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -839,31 +876,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -871,9 +908,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -881,21 +918,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](k3p.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -923,25 +960,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -964,8 +1001,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -999,25 +1036,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1038,8 +1075,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1108,29 +1145,29 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | @@ -1151,6 +1188,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1173,48 +1246,48 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | PASS | recorded definition unavailable | -| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | PASS | recorded definition unavailable | +| [zero_tanh_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | | [img_stripes2_residual16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | PASS | recorded definition unavailable | -| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | PASS | recorded definition unavailable | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1260,25 +1333,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -1292,6 +1365,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1310,27 +1420,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1368,27 +1478,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1426,27 +1536,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1484,27 +1594,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | PASS | matches recorded run | -| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](k3p.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](k3p.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](k3p.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](k3p.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1540,7 +1650,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | +| [clockfree_audit](k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1604,6 +1714,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1616,7 +1763,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1685,9 +1832,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1713,9 +1862,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cgan_overlapping_classes bounds: insufficient terminal checks. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cgan_overlapping_classes bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -1741,9 +1892,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -1763,7 +1914,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **matches recorded run**. Test definition matches the recorded conditions. step_label changed the update or common-prefix state Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1809,9 +1960,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1841,9 +1992,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1868,9 +2021,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. [Attempt evidence](../attempt-coverage.json). @@ -2026,6 +2181,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2065,13 +2355,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2102,13 +2392,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `0` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2195,7 +2485,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2243,9 +2533,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2279,9 +2569,9 @@ Dependencies: gaussian1d_smoke (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2320,9 +2610,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2437,9 +2729,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2515,9 +2809,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2556,9 +2852,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2595,9 +2893,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2675,9 +2973,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2729,9 +3027,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2783,9 +3081,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2863,9 +3161,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq, mass_tv. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: continuous_r2, discrete_nmi, hq, mass_tv. [Attempt evidence](../attempt-coverage.json). @@ -2892,9 +3192,9 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2926,9 +3226,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -2953,9 +3255,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -2982,9 +3286,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3011,9 +3317,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3040,9 +3348,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3068,9 +3376,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3142,9 +3452,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3209,11 +3521,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-e6cf768866c160ba1338f662.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3244,11 +3556,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-e6cf768866c160ba1338f662.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3273,9 +3585,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3343,9 +3657,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3402,17 +3718,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-e6cf768866c160ba1338f662.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3446,13 +3801,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-e6cf768866c160ba1338f662.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3486,9 +3841,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3512,9 +3869,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3632,9 +3991,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3663,7 +4022,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3742,9 +4101,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on ring16_bigan_continuous. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on ring16_bigan_continuous. [Attempt evidence](../attempt-coverage.json). @@ -3769,9 +4130,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3801,9 +4162,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -3833,9 +4194,9 @@ Dependencies: mode_hold (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3874,9 +4235,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3952,9 +4315,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3993,9 +4356,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4071,9 +4436,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4094,9 +4459,9 @@ Dependencies: mode_hold (gate). ### trajectory -**trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4123,7 +4488,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4250,9 +4615,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4281,7 +4646,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4350,9 +4715,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4410,9 +4775,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4466,9 +4831,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4522,9 +4887,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4582,9 +4947,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4644,9 +5009,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4704,9 +5069,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. All pre-shift and post-deadline rail-escape bounds passed. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (new_attempt; qualification unchanged). All pre-shift and post-deadline rail-escape bounds passed. [Attempt evidence](../attempt-coverage.json). @@ -4733,9 +5098,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed origin point-mass contraction gates +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed origin point-mass contraction gates [Attempt evidence](../records/readout-e6cf768866c160ba1338f662.json). @@ -5415,6 +5780,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5765,6 +6167,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5906,6 +6344,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6218,6 +6693,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6636,6 +7148,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6681,7 +7328,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6714,7 +7361,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7988,11 +8635,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -8004,7 +8690,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -8044,7 +8730,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -10005,6 +10691,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](k3p.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](k3p.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10355,6 +11078,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](k3p.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10496,6 +11255,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](k3p.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](k3p.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -10808,6 +11604,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](k3p.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](k3p.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11248,6 +12081,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11293,7 +12261,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11326,7 +12294,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12587,6 +13555,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -12597,7 +13604,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -12637,7 +13644,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](k3p.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/ka2.md b/reports/forge/families/ka2.md index a69a04943..2886454c8 100644 --- a/reports/forge/families/ka2.md +++ b/reports/forge/families/ka2.md @@ -164,19 +164,19 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [1/7](ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [11/22](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [1/7](ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/11](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/25](ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [1/7](ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [1/7](ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [1/7](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](ka2.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](ka2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -192,14 +192,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | FAIL | matches recorded run | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | matches recorded run | | [two_pole](ka2.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -216,36 +216,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | PASS | changed since run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | @@ -255,24 +255,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -287,21 +287,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | +| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -313,29 +313,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -363,25 +363,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -389,7 +389,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -414,26 +414,26 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -475,16 +475,16 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | [ae_gan_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -592,10 +592,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | @@ -686,25 +686,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -712,13 +712,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | FAIL | recorded definition unavailable | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -803,6 +803,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -825,11 +862,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | FAIL | matches recorded run | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | PASS | recorded definition unavailable | -| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | PASS | recorded definition unavailable | -| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | PASS | recorded definition unavailable | +| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | | [precision_gaussian_fp32](ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -841,31 +878,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -873,9 +910,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -883,21 +920,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](ka2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -925,25 +962,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -966,8 +1003,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1001,25 +1038,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1040,8 +1077,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1110,29 +1147,29 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | @@ -1153,6 +1190,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1175,48 +1248,48 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | PASS | recorded definition unavailable | -| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | PASS | recorded definition unavailable | +| [zero_tanh_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | | [img_stripes2_residual16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | PASS | recorded definition unavailable | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1262,25 +1335,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -1294,6 +1367,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1312,27 +1422,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1370,27 +1480,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1428,27 +1538,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1486,27 +1596,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | PASS | changed since run | -| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | PASS | matches recorded run | -| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | FAIL | matches recorded run | -| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | FAIL | matches recorded run | -| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](ka2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](ka2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](ka2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](ka2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1542,7 +1652,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | +| [clockfree_audit](ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1606,6 +1716,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1618,7 +1765,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1687,9 +1834,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1715,9 +1864,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cgan_overlapping_classes bounds: insufficient terminal checks. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cgan_overlapping_classes bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -1743,9 +1894,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -1765,7 +1916,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **matches recorded run**. Test definition matches the recorded conditions. step_label changed the update or common-prefix state Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1811,9 +1962,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1843,9 +1994,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1870,9 +2023,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cyclegan_unpaired_constellation bounds: hq_x, hq_y, mass_tv_y, modes_x, modes_y. [Attempt evidence](../attempt-coverage.json). @@ -2028,6 +2183,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2067,13 +2357,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2104,13 +2394,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `1` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2197,7 +2487,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2245,9 +2535,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2281,9 +2571,9 @@ Dependencies: gaussian1d_smoke (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2322,9 +2612,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2439,9 +2731,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2517,9 +2811,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2558,9 +2854,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4, min_radial_median_ratio >= 0.65. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2597,9 +2895,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2677,9 +2975,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2731,9 +3029,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2785,9 +3083,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2865,9 +3163,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: continuous_r2, hq. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: continuous_r2, hq. [Attempt evidence](../attempt-coverage.json). @@ -2894,9 +3194,9 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2928,9 +3228,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -2955,9 +3257,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -2984,9 +3288,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3013,9 +3319,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3042,9 +3350,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3070,9 +3378,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3144,9 +3454,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3211,11 +3523,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **FAIL** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-efc9b823a6b391bc25754f9a.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3246,11 +3558,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-efc9b823a6b391bc25754f9a.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3275,9 +3587,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3345,9 +3659,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3404,17 +3720,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-efc9b823a6b391bc25754f9a.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3448,13 +3803,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-efc9b823a6b391bc25754f9a.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3488,9 +3843,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3514,9 +3871,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3634,9 +3993,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3665,7 +4024,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3744,9 +4103,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on ring16_bigan_continuous. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on ring16_bigan_continuous. [Attempt evidence](../attempt-coverage.json). @@ -3771,9 +4132,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3803,9 +4164,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -3835,9 +4196,9 @@ Dependencies: mode_hold (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3876,9 +4237,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3954,9 +4317,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3995,9 +4358,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4073,9 +4438,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4096,9 +4461,9 @@ Dependencies: mode_hold (gate). ### trajectory -**trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4125,7 +4490,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4252,9 +4617,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4283,7 +4648,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4352,9 +4717,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4412,9 +4777,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4468,9 +4833,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4524,9 +4889,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4584,9 +4949,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4646,9 +5011,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4706,9 +5071,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025, saturated_fraction == 0.0. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: mean_abs_error <= 0.005, rms_error <= 0.01, p99_abs_error <= 0.025, saturated_fraction == 0.0. [Attempt evidence](../attempt-coverage.json). @@ -4735,9 +5100,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed origin point-mass contraction gates +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed origin point-mass contraction gates [Attempt evidence](../records/readout-efc9b823a6b391bc25754f9a.json). @@ -5417,6 +5782,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](ka2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](ka2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5767,6 +6169,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](ka2.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5908,6 +6346,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](ka2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](ka2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6220,6 +6695,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](ka2.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6638,6 +7150,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6683,7 +7330,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6716,7 +7363,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7990,11 +8637,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -8006,7 +8692,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -8046,7 +8732,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -10007,6 +10693,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](ka2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](ka2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10357,6 +11080,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](ka2.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10498,6 +11257,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](ka2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](ka2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -10810,6 +11606,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](ka2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](ka2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11251,6 +12084,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11296,7 +12264,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11329,7 +12297,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12590,6 +13558,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -12600,7 +13607,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -12640,7 +13647,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](ka2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/r1r2.md b/reports/forge/families/r1r2.md index e24fdae90..14c473617 100644 --- a/reports/forge/families/r1r2.md +++ b/reports/forge/families/r1r2.md @@ -141,19 +141,19 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [5/12](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [8/16](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [4/7](r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [5/12](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [8/22](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/7](r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/11](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [5/18](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [5/12](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [8/16](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [4/7](r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [5/12](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [8/16](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [4/7](r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [5/12](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [8/15](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [4/7](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](r1r2.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](r1r2.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -169,14 +169,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | FAIL | matches recorded run | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | matches recorded run | | [two_pole](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -193,36 +193,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | changed since run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | @@ -232,24 +232,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -264,21 +264,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -290,29 +290,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -340,25 +340,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -366,7 +366,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -391,26 +391,26 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -452,16 +452,16 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | [ae_gan_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -569,10 +569,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | @@ -663,25 +663,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -689,13 +689,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | FAIL | recorded definition unavailable | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -780,6 +780,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -802,11 +839,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | FAIL | matches recorded run | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | PASS | recorded definition unavailable | -| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | PASS | recorded definition unavailable | -| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | PASS | recorded definition unavailable | -| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | PASS | recorded definition unavailable | +| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | | [precision_gaussian_fp32](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -818,31 +855,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -850,9 +887,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -860,21 +897,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -902,25 +939,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -943,8 +980,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -978,25 +1015,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1017,8 +1054,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1087,29 +1124,29 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | @@ -1130,6 +1167,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1152,48 +1225,48 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | PASS | recorded definition unavailable | -| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | PASS | recorded definition unavailable | +| [zero_tanh_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | | [img_stripes2_residual16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1239,25 +1312,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -1271,6 +1344,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1289,27 +1399,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1347,27 +1457,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1405,27 +1515,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1463,27 +1573,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | FAIL | changed since run | -| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | FAIL | changed since run | -| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | PASS | matches recorded run | -| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | PASS | matches recorded run | -| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1519,7 +1629,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | +| [clockfree_audit](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1583,6 +1693,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1595,7 +1742,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1664,9 +1811,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed alice_spiral_bigan bounds: hq. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed alice_spiral_bigan bounds: hq. [Attempt evidence](../attempt-coverage.json). @@ -1692,9 +1841,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cgan_overlapping_classes bounds: min_cov_eig_ratio. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cgan_overlapping_classes bounds: min_cov_eig_ratio. [Attempt evidence](../attempt-coverage.json). @@ -1720,9 +1871,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -1742,7 +1893,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **matches recorded run**. Test definition matches the recorded conditions. step_label changed the update or common-prefix state Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1788,9 +1939,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1820,9 +1971,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1847,9 +2000,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. [Attempt evidence](../attempt-coverage.json). @@ -2005,6 +2160,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2044,13 +2334,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2081,13 +2371,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `0` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2174,7 +2464,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2222,9 +2512,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2258,9 +2548,9 @@ Dependencies: gaussian1d_smoke (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2299,9 +2589,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2416,9 +2708,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4, min_radial_median_ratio >= 0.65. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2494,9 +2788,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2535,9 +2831,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2574,9 +2872,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2654,9 +2952,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2708,9 +3006,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2762,9 +3060,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2842,9 +3140,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed infogan_anisotropic_modes bounds: insufficient terminal checks. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed infogan_anisotropic_modes bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -2871,9 +3171,9 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2905,9 +3205,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -2932,9 +3234,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -2961,9 +3265,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -2990,9 +3296,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3019,9 +3327,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3047,9 +3355,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3121,9 +3431,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3188,11 +3500,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-613fc91cba03a8c327465202.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3223,11 +3535,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-613fc91cba03a8c327465202.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3252,9 +3564,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3322,9 +3636,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3381,17 +3697,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-613fc91cba03a8c327465202.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3425,13 +3780,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-613fc91cba03a8c327465202.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3465,9 +3820,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3491,9 +3848,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3611,9 +3970,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3642,7 +4001,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3721,9 +4080,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: insufficient terminal checks. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -3748,9 +4109,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3780,9 +4141,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -3812,9 +4173,9 @@ Dependencies: mode_hold (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3853,9 +4214,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3931,9 +4294,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3972,9 +4335,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4050,9 +4415,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4073,9 +4438,9 @@ Dependencies: mode_hold (gate). ### trajectory -**trajectory: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4102,7 +4467,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4229,9 +4594,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4260,7 +4625,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4329,9 +4694,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4389,9 +4754,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4445,9 +4810,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4501,9 +4866,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4561,9 +4926,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4623,9 +4988,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4683,9 +5048,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: post-shift recovery window not sustained. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: post-shift recovery window not sustained. [Attempt evidence](../attempt-coverage.json). @@ -4712,9 +5077,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed origin point-mass contraction gates +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed origin point-mass contraction gates [Attempt evidence](../records/readout-613fc91cba03a8c327465202.json). @@ -5394,6 +5759,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](r1r2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](r1r2.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5744,6 +6146,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](r1r2.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5885,6 +6323,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](r1r2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](r1r2.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6197,6 +6672,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](r1r2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6634,6 +7146,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6679,7 +7326,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6712,7 +7359,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7967,11 +8614,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -7983,7 +8669,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -8023,7 +8709,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -9990,6 +10676,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](r1r2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](r1r2.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10340,6 +11063,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](r1r2.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10481,6 +11240,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](r1r2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](r1r2.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -10793,6 +11589,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](r1r2.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](r1r2.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11211,6 +12044,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11256,7 +12224,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11289,7 +12257,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12569,6 +13537,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -12579,7 +13586,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -12619,7 +13626,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](r1r2.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](r1r2.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](r1r2.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/release07-gan-v3-cloud.md b/reports/forge/families/release07-gan-v3-cloud.md index 46761d1be..5db6f643b 100644 --- a/reports/forge/families/release07-gan-v3-cloud.md +++ b/reports/forge/families/release07-gan-v3-cloud.md @@ -764,6 +764,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1114,6 +1151,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1255,6 +1328,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1567,6 +1677,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1970,6 +2117,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2015,7 +2297,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2048,7 +2330,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3309,6 +3591,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3319,7 +3640,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-vaegan_coverage-tier-1). Current pass criteria: @@ -3359,7 +3680,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3-cloud.md#cohort-cuda-7f9c23eb0e27-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/release07-gan-v3-mog.md b/reports/forge/families/release07-gan-v3-mog.md index 4ea37911b..f8ec2c2d0 100644 --- a/reports/forge/families/release07-gan-v3-mog.md +++ b/reports/forge/families/release07-gan-v3-mog.md @@ -764,6 +764,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -1114,6 +1151,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1255,6 +1328,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1567,6 +1677,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1981,6 +2128,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2026,7 +2308,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -2059,7 +2341,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -3320,6 +3602,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -3330,7 +3651,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-vaegan_coverage-tier-1). Current pass criteria: @@ -3370,7 +3691,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3-mog.md#cohort-cuda-7f9c23eb0e27-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/families/release07-gan-v3.md b/reports/forge/families/release07-gan-v3.md index dab4d2aa8..a28e3a564 100644 --- a/reports/forge/families/release07-gan-v3.md +++ b/reports/forge/families/release07-gan-v3.md @@ -152,19 +152,19 @@ Selection: recorded_source_measurement. Recorded source-bound original measureme | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) | | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [7/12](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [10/16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [7/12](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [10/22](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/11](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [7/18](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [17/30](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [7/12](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [10/16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [7/12](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [10/16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [7/12](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [10/15](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | Separate cohort coverage (excluded from family totals): | View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | | --- | ---: | ---: | ---: | ---: | ---: | | [lazy_cadence_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-2) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-4) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage) | -| [tier1_policy_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | +| [tier1_policy_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | [0/7 (7 not run)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-1) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-2) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-3) | [0/0](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage-tier-4) | [0/7 (7 not run)](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier1_policy_coverage) | With run-attempt coverage, not run means no attempt; incompatible means a constructor refusal; blocked means a missing required artifact; diagnostic attempts retain separate-runtime outcomes. Other cohorts retain their recorded missing/preflight counts. All remain in the required denominator. PASS and FAIL both count as executed. Attempted errors retain their status and cause; changes to today's test definition are shown separately from execution coverage. @@ -180,14 +180,14 @@ Shared experiments appear once in this list; the family numerator/denominator co | [clockfree_audit_measurement_v1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | FAIL | matches recorded run | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | changed since run | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | matches recorded run | -| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | -| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | | [ring16_acquisition](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | FAIL | matches recorded run | | [two_pole](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | | [unused_token_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unused_token_hold) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | PASS | changed since run | -| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | PASS | recorded definition unavailable | +| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): @@ -204,36 +204,36 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | changed since run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | FAIL | recorded definition unavailable | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | changed since run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | UNKNOWN | recorded definition unavailable | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | changed since run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | matches recorded run | @@ -243,24 +243,24 @@ Shared experiments appear once in this list; the family numerator/denominator co | Experiment | Required by | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | FAIL | matches recorded run | -| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | -| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | FAIL | recorded definition unavailable | +| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | UNKNOWN | matches recorded run | +| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | [adaptation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3), [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | UNKNOWN | recorded definition unavailable | Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | recorded definition unavailable | +| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | recorded definition unavailable | Removed from the count at this tier (still measured): | Experiment | Removed in | Reason | Recorded result | | --- | --- | --- | --- | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [clockfree_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3), [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3), [formulation_comparison](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3), [host_profile_transfer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | @@ -275,21 +275,21 @@ Held at this tier (measured and shown, not counted): | Experiment | Held in | Recorded result | Test definition | | --- | --- | --- | --- | -| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | -| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | recorded definition unavailable | +| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | recorded definition unavailable | @@ -301,29 +301,29 @@ These tests keep running and keep this recipe's recorded result, but they do not | --- | --- | --- | --- | --- | --- | | [precision_gaussian_mxfp8](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | | [precision_gaussian_nvfp4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | PASS | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | FAIL | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | -| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | -| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | -| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | -| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | -| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | -| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | -| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | -| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | -| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | -| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | -| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | -| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | -| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | -| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | -| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | PASS | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | -| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | FAIL | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [adaptation / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2), [clockfree_continuous / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2), [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2), [formulation_comparison / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2), [host_profile_transfer / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2), [quality_coverage / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | UNKNOWN | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | +| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [discriminator_stability / Tier 3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | +| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | +| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | +| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | +| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | +| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | +| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | +| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | +| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | +| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | +| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | +| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | +| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | +| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | +| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | +| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | UNKNOWN | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | @@ -351,25 +351,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -377,7 +377,7 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -402,26 +402,26 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -463,16 +463,16 @@ Calibration: **provisional**. Revision8 acquisition/hold separation is provision | [ae_gan_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -580,10 +580,10 @@ Calibration: **provisional**. Four source-bound image diagnostics do not qualify | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | @@ -674,25 +674,25 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -700,13 +700,13 @@ Additional eligibility requirements: | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | FAIL | recorded definition unavailable | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | FAIL | recorded definition unavailable | -| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | FAIL | recorded definition unavailable | -| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | FAIL | recorded definition unavailable | -| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | FAIL | recorded definition unavailable | +| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | required | UNKNOWN | recorded definition unavailable | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | required | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | required | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | required | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | required | UNKNOWN | recorded definition unavailable | @@ -791,6 +791,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -813,11 +850,11 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | [ae_gan_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | required | PASS | changed since run | | [ring16_acquisition](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | required | FAIL | matches recorded run | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | required | PASS | changed since run | -| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | PASS | recorded definition unavailable | -| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | PASS | recorded definition unavailable | -| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | PASS | recorded definition unavailable | -| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | PASS | recorded definition unavailable | -| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | PASS | recorded definition unavailable | +| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | required | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | required | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | required | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | | [precision_gaussian_fp32](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_fp32) | diagnostic | UNKNOWN | recorded definition unavailable | | [precision_gaussian_mxfp8](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | [stretch: frontier stretch benchmark beyond the required suite](../precision-stretch/README.md#precision-stretch) | UNKNOWN | recorded definition unavailable | @@ -829,31 +866,31 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | FAIL | recorded definition unavailable | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | FAIL | recorded definition unavailable | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | required | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | required | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | required | UNKNOWN | recorded definition unavailable | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | required | UNKNOWN | recorded definition unavailable | @@ -861,9 +898,9 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | -| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -871,21 +908,21 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | FAIL | recorded definition unavailable | -| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | -| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | PASS | recorded definition unavailable | +| [grid100_mlp16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | [held: no recipe has passed its current declaration](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p50_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p50_recovery) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [misgan_mcar_p80_anchored](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_mcar_p80_anchored) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan_unequal_mass) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [pacgan8_grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-pacgan8_grid100) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [alice_spiral_bigan](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-alice_spiral_bigan) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [infogan_anisotropic_modes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-infogan_anisotropic_modes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cgan_overlapping_classes](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cgan_overlapping_classes) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cramer_energy_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cramer_energy_overlap) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [cyclegan_unpaired_constellation](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cyclegan_unpaired_constellation) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | +| [grid100_res16_scaled_tanh](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_scaled_tanh) | [stretch: frontier stretch benchmark beyond the required suite](../test-dispositions-20261015/README.md#unresolved) | UNKNOWN | recorded definition unavailable | @@ -913,25 +950,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -954,8 +991,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -989,25 +1026,25 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | | [img_intensity2_residual16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_two_broad_published](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad_published) | diagnostic | UNKNOWN | recorded definition unavailable | | [vector_unequal_mass_published](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass_published) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1028,8 +1065,8 @@ Calibration: **provisional**. Host-profile transfer and full current-cohort posi | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | FAIL | matches recorded run | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | [removed: phase of ring_extension (counted there)](../test-dispositions-20261015/README.md#ring_hold) | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | required | UNKNOWN | matches recorded run | @@ -1098,29 +1135,29 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | | [clockfree_audit_measurement_v1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | @@ -1141,6 +1178,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -1163,48 +1236,48 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | [ae_gan_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ae_gan_hold) | diagnostic | PASS | changed since run | | [ring16_acquisition](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | diagnostic | FAIL | matches recorded run | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | -| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | PASS | recorded definition unavailable | -| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | PASS | recorded definition unavailable | -| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | PASS | recorded definition unavailable | -| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | PASS | recorded definition unavailable | +| [zero_tanh_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_gan_multimodal](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ae_reconstruction](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_reconstruction) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_gaussian_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | | [clockfree_audit_measurement_v1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | diagnostic | FAIL | matches recorded run | -| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | +| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | | [img_stripes2_residual16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_bars4_residual16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | | [img_blobs4_residual16](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4_residual16) | diagnostic | UNKNOWN | recorded definition unavailable | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | -| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | FAIL | recorded definition unavailable | -| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | FAIL | matches recorded run | -| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | FAIL | matches recorded run | -| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | FAIL | recorded definition unavailable | -| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | FAIL | recorded definition unavailable | -| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | FAIL | recorded definition unavailable | -| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | PASS | recorded definition unavailable | -| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | PASS | recorded definition unavailable | -| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | FAIL | recorded definition unavailable | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | +| [model_ae_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_ddgan_bimodal_chain](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_bimodal_chain) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_hold) | diagnostic | UNKNOWN | matches recorded run | +| [ring_extension](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | diagnostic | UNKNOWN | matches recorded run | +| [zero_tanh_rail_escape](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | diagnostic | UNKNOWN | recorded definition unavailable | +| [grid100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [rotated100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [staggered100_14k](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | diagnostic | UNKNOWN | recorded definition unavailable | +| [target_shift_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_recovery](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | diagnostic | UNKNOWN | recorded definition unavailable | +| [misgan_block_neural_imputer](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ring16_bigan_continuous](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1250,25 +1323,25 @@ Calibration: **provisional**. Phase D historical calibration remains required | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | FAIL | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | required | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | required | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | required | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | required | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | required | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | required | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | required | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_mass) | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_unequal_width) | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_anisotropic) | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#vector_overlap) | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | required | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | required | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_bars4) | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_blobs4) | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | [held: no one recipe passes it together with the counted tests](../test-dispositions-20261015/README.md#img_intensity2) | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | required | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | required | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | required | UNKNOWN | changed since run | @@ -1282,6 +1355,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -1300,27 +1410,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1358,27 +1468,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1416,27 +1526,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1474,27 +1584,27 @@ Calibration: **provisional**. Revision9 recipe-owned prior comparisons are provi | --- | --- | --- | --- | | [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | diagnostic | PASS | changed since run | | [gaussian1d_smoke](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_smoke) | diagnostic | PASS | matches recorded run | -| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | FAIL | matches recorded run | -| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | FAIL | changed since run | -| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | PASS | changed since run | -| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | PASS | changed since run | -| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | PASS | changed since run | -| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | PASS | changed since run | -| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | PASS | changed since run | -| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | FAIL | matches recorded run | -| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | PASS | matches recorded run | -| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | FAIL | matches recorded run | -| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | FAIL | matches recorded run | -| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | FAIL | matches recorded run | -| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | FAIL | matches recorded run | -| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | PASS | matches recorded run | -| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | FAIL | matches recorded run | -| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | PASS | matches recorded run | -| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | FAIL | matches recorded run | -| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | PASS | matches recorded run | -| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | FAIL | changed since run | -| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | FAIL | changed since run | -| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | FAIL | changed since run | +| [gaussian1d_stability](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | diagnostic | UNKNOWN | matches recorded run | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | changed since run | +| [trajectory](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-trajectory) | diagnostic | UNKNOWN | changed since run | +| [residual_student](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-residual_student) | diagnostic | UNKNOWN | changed since run | +| [unipolar](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-unipolar) | diagnostic | UNKNOWN | changed since run | +| [cover_leftover](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-cover_leftover) | diagnostic | UNKNOWN | changed since run | +| [mid_scale_identity](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mid_scale_identity) | diagnostic | UNKNOWN | changed since run | +| [mode_hold](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | diagnostic | UNKNOWN | matches recorded run | +| [vector_two_broad](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_two_broad) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_mass](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | diagnostic | UNKNOWN | matches recorded run | +| [vector_unequal_width](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | diagnostic | UNKNOWN | matches recorded run | +| [vector_anisotropic](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | diagnostic | UNKNOWN | matches recorded run | +| [vector_overlap](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | diagnostic | UNKNOWN | matches recorded run | +| [vector_spiral](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_spiral) | diagnostic | UNKNOWN | matches recorded run | +| [img_stripes2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_stripes2) | diagnostic | UNKNOWN | matches recorded run | +| [img_bars4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | diagnostic | UNKNOWN | matches recorded run | +| [img_blobs4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | diagnostic | UNKNOWN | matches recorded run | +| [img_intensity2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | diagnostic | UNKNOWN | matches recorded run | +| [grid100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | diagnostic | UNKNOWN | changed since run | +| [rotated100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | diagnostic | UNKNOWN | changed since run | +| [staggered100](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | diagnostic | UNKNOWN | changed since run | @@ -1530,7 +1640,7 @@ Calibration: **undeclared**. Calibration and robustness are separate from record | Experiment | Role | Recorded result | Test definition | | --- | --- | --- | --- | -| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | FAIL | recorded definition unavailable | +| [clockfree_audit](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit) | diagnostic | UNKNOWN | recorded definition unavailable | @@ -1594,6 +1704,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -1606,7 +1753,7 @@ One evidence entry per experiment is shared by its view rows. Test-definition ch **ae_gan_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/ae_gan_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1675,9 +1822,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### alice_spiral_bigan -**alice_spiral_bigan: PASS**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). +**alice_spiral_bigan: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/alice_spiral_bigan.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on alice_spiral_bigan. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on alice_spiral_bigan. [Attempt evidence](../attempt-coverage.json). @@ -1703,9 +1852,11 @@ Current measurement: mog prior (sigma 0.06); public_prior_without_output_noise; ### cgan_overlapping_classes -**cgan_overlapping_classes: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). +**cgan_overlapping_classes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cgan_overlapping_classes.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed cgan_overlapping_classes bounds: max_cov_eig_ratio, mean_center_err, min_cov_eig_ratio, overlap_density_ratio. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed cgan_overlapping_classes bounds: max_cov_eig_ratio, mean_center_err, min_cov_eig_ratio, overlap_density_ratio. [Attempt evidence](../attempt-coverage.json). @@ -1731,9 +1882,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### clockfree_audit -**clockfree_audit: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). +**clockfree_audit: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). step_label changed the update or common-prefix state [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -1753,7 +1904,7 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; **clockfree_audit_measurement_v1: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/clockfree_audit_measurement_v1.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. step_label changed the update or common-prefix state +Test definition: **matches recorded run**. Test definition matches the recorded conditions. step_label changed the update or common-prefix state Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1799,9 +1950,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### cover_leftover -**cover_leftover: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). +**cover_leftover: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cover_leftover.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -1831,9 +1982,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### cramer_energy_overlap -**cramer_energy_overlap: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). +**cramer_energy_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cramer_energy_overlap.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cramer_energy_overlap. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cramer_energy_overlap. [Attempt evidence](../attempt-coverage.json). @@ -1858,9 +2011,11 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### cyclegan_unpaired_constellation -**cyclegan_unpaired_constellation: PASS**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). +**cyclegan_unpaired_constellation: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/cyclegan_unpaired_constellation.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on cyclegan_unpaired_constellation. [Attempt evidence](../attempt-coverage.json). @@ -2016,6 +2171,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -2055,13 +2345,13 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_generated_an ### five_word_joint_hold -**five_word_joint_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). +**five_word_joint_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded conditions: particle_cloud prior (sigma 0); generated_and_paired_reconstructed_prior_without_output_noise; weights live; output noise clean. @@ -2092,13 +2382,13 @@ Dependencies: five_word_joint_smoke (checkpoint). **five_word_joint_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/five_word_joint_smoke.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. any scheduled full joint pass plus independent same-state confirmation +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. any scheduled full joint pass plus independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). Actual task device: `0` (recorded execution receipt). -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Recorded final metrics: @@ -2185,7 +2475,7 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior **gaussian1d_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_smoke.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. any scheduled full pass with independent same-state confirmation +Test definition: **matches recorded run**. Test definition matches the recorded conditions. any scheduled full pass with independent same-state confirmation Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2233,9 +2523,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### gaussian1d_stability -**gaussian1d_stability: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). +**gaussian1d_stability: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/gaussian1d_stability.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2269,9 +2559,9 @@ Dependencies: gaussian1d_smoke (checkpoint). ### grid100 -**grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). +**grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2310,9 +2600,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_14k -**grid100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). +**grid100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite grid100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -2427,9 +2719,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### grid100_mlp16 -**grid100_mlp16: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). +**grid100_mlp16: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_mlp16.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_mlp16 bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2505,9 +2799,11 @@ Current measurement: particle_cloud prior (sigma 0); public_prior_without_output ### grid100_res16_scaled_tanh -**grid100_res16_scaled_tanh: PASS**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). +**grid100_res16_scaled_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_scaled_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. +**Scientific scope correction:** Post-optimizer empirical cluster fitting, generator identity resets and particle dispersion are additional task-specific update rules. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on grid100_res16_scaled_tanh. [Attempt evidence](../attempt-coverage.json). @@ -2546,9 +2842,11 @@ Dependencies: grid100 (gate). ### grid100_res16_tanh -**grid100_res16_tanh: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). +**grid100_res16_tanh: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/grid100_res16_tanh.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed grid100_res16_tanh bounds: modes >= 100, precision >= 0.97, min_hq_mode_mass >= 0.005, mass_tv <= 0.1, max_mode_mass <= 0.02, min_cov_eig_ratio >= 0.4. +Execution: **not run**. Used by: [discriminator_stability / Tier 4](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4). @@ -2585,9 +2883,9 @@ Dependencies: grid100 (gate). ### img_bars4 -**img_bars4: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). +**img_bars4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_bars4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2665,9 +2963,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_blobs4 -**img_blobs4: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). +**img_blobs4: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_blobs4.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2719,9 +3017,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_intensity2 -**img_intensity2: PASS**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). +**img_intensity2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_intensity2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2773,9 +3071,9 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### img_stripes2 -**img_stripes2: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). +**img_stripes2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/img_stripes2.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2853,9 +3151,11 @@ Current measurement: particle_cloud prior (sigma 0); enumerated_prior_without_ou ### infogan_anisotropic_modes -**infogan_anisotropic_modes: PASS**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). +**infogan_anisotropic_modes: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/infogan_anisotropic_modes.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on infogan_anisotropic_modes. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on infogan_anisotropic_modes. [Attempt evidence](../attempt-coverage.json). @@ -2882,9 +3182,9 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### mid_scale_identity -**mid_scale_identity: PASS**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). +**mid_scale_identity: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mid_scale_identity.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -2916,9 +3216,11 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme ### misgan_block_neural_imputer -**misgan_block_neural_imputer: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). +**misgan_block_neural_imputer: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_neural_imputer.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_neural_imputer. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_neural_imputer. [Attempt evidence](../attempt-coverage.json). @@ -2943,9 +3245,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_block_recovery -**misgan_block_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). +**misgan_block_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_block_recovery.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_block_recovery. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_block_recovery. [Attempt evidence](../attempt-coverage.json). @@ -2972,9 +3276,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p50_recovery -**misgan_mcar_p50_recovery: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). +**misgan_mcar_p50_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p50_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p50_recovery. [Attempt evidence](../attempt-coverage.json). @@ -3001,9 +3307,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### misgan_mcar_p80_anchored -**misgan_mcar_p80_anchored: PASS**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). +**misgan_mcar_p80_anchored: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/misgan_mcar_p80_anchored.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. +**Scientific scope correction:** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on misgan_mcar_p80_anchored. [Attempt evidence](../attempt-coverage.json). @@ -3030,9 +3338,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### mode_hold -**mode_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). +**mode_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/mode_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3058,9 +3366,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### model_ae_ddgan_bimodal_chain -**model_ae_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). +**model_ae_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3132,9 +3442,11 @@ Dependencies: model_ae_ddgan_gaussian_chain (gate). ### model_ae_ddgan_gaussian_chain -**model_ae_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). +**model_ae_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3199,11 +3511,11 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit ### model_ae_gan_multimodal -**model_ae_gan_multimodal: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). +**model_ae_gan_multimodal: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_gan_multimodal.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-3bd45e331f5dd03701da2700.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3234,11 +3546,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ae_reconstruction -**model_ae_reconstruction: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). +**model_ae_reconstruction: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ae_reconstruction.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-3bd45e331f5dd03701da2700.json). +Execution: **not run**. Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3263,9 +3575,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_ddgan_bimodal_chain -**model_ddgan_bimodal_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). +**model_ddgan_bimodal_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_bimodal_chain.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Execution: **not run**. Used by: [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3333,9 +3647,11 @@ Dependencies: model_ddgan_gaussian_chain (gate). ### model_ddgan_gaussian_chain -**model_ddgan_gaussian_chain: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). +**model_ddgan_gaussian_chain: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_ddgan_gaussian_chain.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. Used by: [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3392,17 +3708,56 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical -**model_vae_categorical: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). +**model_vae_categorical: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_categorical.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-3bd45e331f5dd03701da2700.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3436,13 +3791,13 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### model_vae_hard -**model_vae_hard: PASS**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). +**model_vae_hard: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_vae_hard.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed complete live curve and terminal suffix [Attempt evidence](../records/readout-3bd45e331f5dd03701da2700.json). +Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-vaegan_coverage-tier-1). Current pass criteria: @@ -3476,9 +3831,11 @@ Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_wi ### pacgan8_grid100 -**pacgan8_grid100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). +**pacgan8_grid100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan8_grid100.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed pacgan8_grid100 bounds: hq, mass_tv, min_cov_eig_ratio, modes. [Attempt evidence](../attempt-coverage.json). @@ -3502,9 +3859,11 @@ Current measurement: mog prior (sigma 0.05); public_prior_without_output_noise; ### pacgan_unequal_mass -**pacgan_unequal_mass: PASS**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). +**pacgan_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/pacgan_unequal_mass.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Sustained 5/5 terminal checks on pacgan_unequal_mass. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **PASS** (new_attempt; qualification unchanged). Sustained 5/5 terminal checks on pacgan_unequal_mass. [Attempt evidence](../attempt-coverage.json). @@ -3622,9 +3981,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### residual_student -**residual_student: PASS**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). +**residual_student: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/residual_student.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3653,7 +4012,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **ring16_acquisition: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_acquisition.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **matches recorded run**. Test definition matches the recorded conditions. recomputed complete live curve and terminal suffix Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3732,9 +4091,11 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_public_prior ### ring16_bigan_continuous -**ring16_bigan_continuous: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). +**ring16_bigan_continuous: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring16_bigan_continuous.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed ring16_bigan_continuous bounds: insufficient terminal checks. +**Scientific scope correction:** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. The original observation remains recorded below as an archived diagnostic; it does not establish faithful execution of this selected recipe/task contract. [Source-bound correction](../evidence-corrections-2026-11-08.json). Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed ring16_bigan_continuous bounds: insufficient terminal checks. [Attempt evidence](../attempt-coverage.json). @@ -3759,9 +4120,9 @@ Current measurement: mog prior (sigma 0.1); public_prior_without_output_noise; w ### ring_extension -**ring_extension: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). +**ring_extension: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_extension.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Required checkpoint prerequisite ring_hold executed and failed (FAIL). +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (new_attempt; qualification unchanged). Required checkpoint prerequisite ring_hold executed and failed (FAIL). [Attempt evidence](../attempt-coverage.json). @@ -3791,9 +4152,9 @@ Dependencies: ring_hold (checkpoint). ### ring_hold -**ring_hold: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). +**ring_hold: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ring_hold.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. first qualifying window failed acquisition or uninterrupted hold +Test definition: **matches recorded run**. Test definition matches the recorded conditions. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). first qualifying window failed acquisition or uninterrupted hold [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -3823,9 +4184,9 @@ Dependencies: mode_hold (gate). ### rotated100 -**rotated100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). +**rotated100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3864,9 +4225,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### rotated100_14k -**rotated100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). +**rotated100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/rotated100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite rotated100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -3942,9 +4305,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100 -**staggered100: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). +**staggered100: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -3983,9 +4346,11 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### staggered100_14k -**staggered100_14k: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). +**staggered100_14k: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/staggered100_14k.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Required checkpoint prerequisite staggered100 executed and failed (FAIL). +Execution: **not run**. Used by: [clockfree_continuous / Tier 3](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-1bf9d7d34422-prior-ablation-full-suite-v1-tier-1). @@ -4061,9 +4426,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### target_shift_recovery -**target_shift_recovery: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). +**target_shift_recovery: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/target_shift_recovery.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed live recovery and matched frozen negative control +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. Executable: completed in a separate-runtime diagnostic. This ordinary cohort remains not run; see actual-missing-diagnostics-20261014. Run attempt: **FAIL** (retained_attempt; qualification unchanged). recomputed live recovery and matched frozen negative control [Attempt evidence](../actual-missing-diagnostics-20261014/results.json). @@ -4084,9 +4449,9 @@ Dependencies: mode_hold (gate). ### trajectory -**trajectory: PASS**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). +**trajectory: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/trajectory.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4113,7 +4478,7 @@ Current measurement: particle_cloud prior (sigma 0); conditional_prior_centers_w **two_pole: PASS**. [Current experiment declaration](../../../configs/forge/tasks/two_pole.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4240,9 +4605,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_part ### unipolar -**unipolar: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). +**unipolar: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/unipolar.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4271,7 +4636,7 @@ Current measurement: particle_cloud prior (sigma 0); learned_parameter_measureme **unused_token_hold: PASS**. [Current experiment declaration](../../../configs/forge/tasks/unused_token_hold.json). -Test definition: **changed since run**. Recorded formulaic display retains its original source and task bindings. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. No current-source qualification is granted. recomputed complete live curve and terminal suffix +Test definition: **changed since run**. Test definition changed since this run: evaluation (gates or sampling law). Earlier verdict preserved. recomputed complete live curve and terminal suffix Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4340,9 +4705,9 @@ Current measurement: particle_cloud prior (sigma 0); tier1_selected_learned_para ### vector_anisotropic -**vector_anisotropic: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). +**vector_anisotropic: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_anisotropic.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4400,9 +4765,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_overlap -**vector_overlap: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). +**vector_overlap: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_overlap.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4456,9 +4821,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_spiral -**vector_spiral: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). +**vector_spiral: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_spiral.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4512,9 +4877,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_two_broad -**vector_two_broad: PASS**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). +**vector_two_broad: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_two_broad.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation PASS. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **PASS** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4572,9 +4937,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_mass -**vector_unequal_mass: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). +**vector_unequal_mass: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_mass.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4634,9 +4999,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### vector_unequal_width -**vector_unequal_width: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). +**vector_unequal_width: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/vector_unequal_width.json). -Test definition: **matches recorded run**. Recorded formulaic display retains its original source and task bindings. Test definition matches the recorded conditions. No current-source qualification is granted. Formulaic evaluation FAIL. +Test definition: **matches recorded run**. Test definition matches the recorded conditions. no compatible result Run attempt: **FAIL** (retained_receipt; qualification unchanged). Matched existing execution receipt. [Attempt evidence](../tier-coverage-20261014/results.json). @@ -4694,9 +5059,9 @@ Current measurement: mog prior (sigma 0.025); public_prior_without_output_noise; ### zero_tanh_rail_escape -**zero_tanh_rail_escape: FAIL**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). +**zero_tanh_rail_escape: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_rail_escape.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. Failed rail-escape bounds: post-shift recovery window not sustained. +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **FAIL** (new_attempt; qualification unchanged). Failed rail-escape bounds: post-shift recovery window not sustained. [Attempt evidence](../attempt-coverage.json). @@ -4723,9 +5088,9 @@ Dependencies: zero_tanh_smoke (gate). ### zero_tanh_smoke -**zero_tanh_smoke: PASS**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). +**zero_tanh_smoke: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/zero_tanh_smoke.json). -Test definition: **recorded definition unavailable**. Recorded formulaic display retains its original source and task bindings. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No current-source qualification is granted. recomputed origin point-mass contraction gates +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. Run attempt: **PASS** (current_source_readout; qualification unchanged). recomputed origin point-mass contraction gates [Attempt evidence](../records/readout-3bd45e331f5dd03701da2700.json). @@ -5405,6 +5770,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -5755,6 +6157,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -5896,6 +6334,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -6208,6 +6683,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-0d83d78027c5-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -6645,6 +7157,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -6690,7 +7337,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -6723,7 +7370,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -7978,11 +8625,50 @@ At least 5 consecutive passing terminal observations. All 24 declared observations and final live metrics are required. Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. -Declared budget: 2500 updates; timeout 600 seconds. +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. -Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. -[Explanation and existing training artifacts](../api-model-toys/ddgan.md) +[Explanation and existing training artifacts](../misgan-bispf/README.md) @@ -7994,7 +8680,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -8034,7 +8720,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-0d83d78027c5-vaegan_coverage-tier-1). Current pass criteria: @@ -10001,6 +10687,43 @@ No experiments assigned. No experiments assigned. + + +## ddgan-conditional-repair-v1 + +**ddgan-conditional-repair-v1 — revision 2**. [View declaration](../../../configs/forge/views/ddgan-conditional-repair-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **undeclared**. Calibration and robustness are separate from recorded task passes. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [ddgan_repair_gaussian_chain_v1](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_gaussian_chain_v1) | diagnostic | UNKNOWN | recorded definition unavailable | +| [ddgan_repair_bimodal_chain_wall_v2](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-ddgan_repair_bimodal_chain_wall_v2) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## discriminator_stability @@ -10351,6 +11074,42 @@ No experiments assigned. No experiments assigned. + + +## misgan-bispf-research-v1 + +**misgan-bispf-research-v1 — revision 2**. [View declaration](../../../configs/forge/views/misgan-bispf-research-v1.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Scoped research diagnostic; no ordinary qualification or default adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_misgan_four_mode](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-model_misgan_four_mode) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## prior-ablation-full-suite-v1 @@ -10492,6 +11251,43 @@ No experiments assigned. No experiments assigned. + + +## r1r2-repair-word-retention-20261022 + +**r1r2-repair-word-retention-20261022 — revision 1**. [View declaration](../../../configs/forge/views/r1r2-repair-word-retention-20261022.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Own-checkpoint word retention only; no ordinary tier qualification, source promotion or global recipe adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [five_word_joint_smoke](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-five_word_joint_smoke) | diagnostic | UNKNOWN | recorded definition unavailable | +| [five_word_joint_hold](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-five_word_joint_hold) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## recipe-prior-refactor-k3p-diagnostic-v1 @@ -10804,6 +11600,43 @@ No experiments assigned. No experiments assigned. + + +## vaegan_coverage + +**vaegan_coverage — revision 1**. [View declaration](../../../configs/forge/views/vaegan_coverage.json). + +Diagnostic-only view; its outcomes are excluded from the family totals and grant no qualification. + +Calibration: **provisional**. Two toy gates do not establish screen calibration or whole-suite adoption. + + + +### Tier 1 + +| Experiment | Role | Recorded result | Test definition | +| --- | --- | --- | --- | +| [model_vae_hard](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-model_vae_hard) | diagnostic | UNKNOWN | recorded definition unavailable | +| [model_vae_categorical](release07-gan-v3.md#cohort-cuda-c195899a64af-experiment-model_vae_categorical) | diagnostic | UNKNOWN | recorded definition unavailable | + + + +### Tier 2 + +No experiments assigned. + + + +### Tier 3 + +No experiments assigned. + + + +### Tier 4 + +No experiments assigned. + ## Experiment metrics and pass criteria @@ -11222,6 +12055,141 @@ Declared budget: 13 updates; timeout 180 seconds. Current measurement: particle_cloud prior (sigma 0); training_update_measurement; weights live; output noise not_applied_to_measurement. + + +### ddgan_repair_bimodal_chain_wall_v2 + +**ddgan_repair_bimodal_chain_wall_v2: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | +| final_hq | >= 0.95 | +| final_mode_mass_tv | <= 0.1 | +| final_local_mean_sigma | <= 0.5 | +| final_local_covariance_min | >= 0.5 | +| final_local_covariance_max | <= 1.5 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 5000 updates; timeout 1200 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + + + +### ddgan_repair_gaussian_chain_v1 + +**ddgan_repair_gaussian_chain_v1: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [ddgan-conditional-repair-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-ddgan-conditional-repair-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| final_projection_cdf | <= 0.12 | +| final_normalized_mean | <= 0.25 | +| final_covariance_eigen_min | >= 0.65 | +| final_covariance_eigen_max | <= 1.4 | +| t1_q0_projection_cdf | <= 0.12 | +| t1_q0_normalized_mean | <= 0.25 | +| t1_q0_covariance_eigen_min | >= 0.65 | +| t1_q0_covariance_eigen_max | <= 1.4 | +| t1_q1_projection_cdf | <= 0.12 | +| t1_q1_normalized_mean | <= 0.25 | +| t1_q1_covariance_eigen_min | >= 0.65 | +| t1_q1_covariance_eigen_max | <= 1.4 | +| t2_q0_projection_cdf | <= 0.12 | +| t2_q0_normalized_mean | <= 0.25 | +| t2_q0_covariance_eigen_min | >= 0.65 | +| t2_q0_covariance_eigen_max | <= 1.4 | +| t2_q1_projection_cdf | <= 0.12 | +| t2_q1_normalized_mean | <= 0.25 | +| t2_q1_covariance_eigen_min | >= 0.65 | +| t2_q1_covariance_eigen_max | <= 1.4 | +| t3_q0_projection_cdf | <= 0.12 | +| t3_q0_normalized_mean | <= 0.25 | +| t3_q0_covariance_eigen_min | >= 0.65 | +| t3_q0_covariance_eigen_max | <= 1.4 | +| t3_q1_projection_cdf | <= 0.12 | +| t3_q1_normalized_mean | <= 0.25 | +| t3_q1_covariance_eigen_min | >= 0.65 | +| t3_q1_covariance_eigen_max | <= 1.4 | +| t4_q0_projection_cdf | <= 0.12 | +| t4_q0_normalized_mean | <= 0.25 | +| t4_q0_covariance_eigen_min | >= 0.65 | +| t4_q0_covariance_eigen_max | <= 1.4 | +| t4_q1_projection_cdf | <= 0.12 | +| t4_q1_normalized_mean | <= 0.25 | +| t4_q1_covariance_eigen_min | >= 0.65 | +| t4_q1_covariance_eigen_max | <= 1.4 | +| panel_count | == 8 | +| samples_per_panel | >= 2048 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 2500 updates; timeout 600 seconds. + +Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../ddgan-conditional-repair/README.md) + ### five_word_joint_acquisition_tier1_policy_selected_cloud_v1 @@ -11267,7 +12235,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 2](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-2) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -11300,7 +12268,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). +Used by: [bcap-projection-baseline-repair-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-bcap-projection-baseline-repair-diagnostic-v1-tier-1) · [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [lazy_cadence_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-lazy_cadence_coverage-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [r1r2-repair-word-retention-20261022 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-r1r2-repair-word-retention-20261022-tier-1) · [recipe-prior-refactor-k3p-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-k3p-diagnostic-v1-tier-1) · [recipe-prior-refactor-ka2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-ka2-diagnostic-v1-tier-1) · [recipe-prior-refactor-r1r2-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-r1r2-diagnostic-v1-tier-1) · [recipe-prior-refactor-release07-gan-v3-diagnostic-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-recipe-prior-refactor-release07-gan-v3-diagnostic-v1-tier-1). Current pass criteria: @@ -12580,6 +13548,45 @@ Current measurement: mog prior (sigma 0.25); task_model_kernel_and_posterior_wit [Explanation and existing training artifacts](../api-model-toys/ddgan.md) + + +### model_misgan_four_mode + +**model_misgan_four_mode: UNKNOWN**. [Current experiment declaration](../../../configs/forge/tasks/model_misgan_four_mode.json). + +Test definition: **recorded definition unavailable**. Recorded test definition unavailable; compatibility with today's declaration cannot be checked. No recorded result for this selected configuration and source. + +Execution: **not run**. + +Used by: [misgan-bispf-research-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-misgan-bispf-research-v1-tier-1). + +Current pass criteria: + +| Metric | Required bound | +| --- | --- | +| modes | >= 4 | +| hq | >= 0.9 | +| mass_tv | <= 0.1 | +| off_plane | <= 0.04 | +| mask_tv | <= 0.05 | +| imputer_observed_error | <= 1e-06 | +| imputer_accuracy | >= 0.94 | +| ambiguous_hq | >= 0.9 | +| ambiguous_mass_tv | <= 0.12 | +| ambiguous_query_coverage | >= 0.9 | +| ambiguous_std_ratio | >= 0.7 | +| ambiguous_std_ratio | <= 1.3 | + +At least 5 consecutive passing terminal observations. +All 24 declared observations and final live metrics are required. +Execution guards: finite state = True; rng isolation = True; optimizer roles = generator, prior, discriminator; exact optimizer updates = True; mechanism exercised = True. + +Declared budget: 1200 updates; timeout 1800 seconds. + +Current measurement: mog prior (sigma 0.025); task_model_kernel_and_posterior_without_serving_noise; weights live; output noise clean. + +[Explanation and existing training artifacts](../misgan-bispf/README.md) + ### model_vae_categorical @@ -12590,7 +13597,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: @@ -12630,7 +13637,7 @@ Test definition: **recorded definition unavailable**. Recorded test definition u Execution: **not run**. -Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1). +Used by: [discriminator_stability / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-discriminator_stability-tier-1) · [prior-ablation-full-suite-v1 / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-prior-ablation-full-suite-v1-tier-1) · [vaegan_coverage / Tier 1](release07-gan-v3.md#cohort-cuda-c195899a64af-vaegan_coverage-tier-1). Current pass criteria: diff --git a/reports/forge/leaderboards/adaptation.md b/reports/forge/leaderboards/adaptation.md index 123b4cf44..c7195b189 100644 --- a/reports/forge/leaderboards/adaptation.md +++ b/reports/forge/leaderboards/adaptation.md @@ -12,8 +12,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | atlas-particle-normal-v2 / be6d816d96dd / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 20, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 20, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--0fc5834c2f114d83b8b7ace471dbc8271d0afddd8c92ba1b84d5db8325a8ecd5 / b0041769b149 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -782,8 +782,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-particle-rownorm-only--f4a9ffe034745b5e5b5d465ceda964e3c7ba2d55d071e2696119f2d814fa2a38 / e45002faccda / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-pure--023915c9fd7c40786d1a4790539547147134610285b98821f411a3529f57f7e4 / 639030c10770 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -928,8 +928,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-tier1-stability-transport-v1 / 747008760dde / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-prior-fresh-gaussian-v1 / 228027c04546 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 13, NOT_RUN 10; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1090,14 +1090,14 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2-global-repair-v1 / unknown / cuda | current | 0 | unmeasured | unknown | Resolve the candidate declaration/capability blocker. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 20, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / e38a9b8435b3 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 23; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1127,7 +1127,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-nsgda-global--4d46c3064ad21b57f692a8edda5a7d6978e793ba7713f533fafdee6ee684e8d0 / 788a4045e8ca / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 195.901 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / 4731f466f19a / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 185.929 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-zero-damping-v1 / 9b869d8e95bc / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2117.166 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-pure--8e5f19612de4c3b1a27e0e143aaed4621e79696fb37050a30271fa2f823cd9bf / b8dbd2581363 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 226.204 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 07d51b9c7ed0 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 213.185 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a181de95ac0bc6f5aacbc1bf7012f0ef141335e07e24cd0f9c777dd75fff3adb / 600f01108b97 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 785.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1140,7 +1140,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-dualnorm-d-only--d3d5a2efb99e4946fbad23c361d86c7779b089269b3913059af97d837f9180bc / 5d67bce12f05 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 577.617 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 39dc1cc8e516 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | pinned | unknown | FAIL 1 | 5.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a0b49070f142c7e5fa0a02b59704572c8fad809c8580ddbd6460e53e25566a1f / 6884a2ebe7ab / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 849.577 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 6c0d20a7c340 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2449.962 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-prior-smoothing-v1 / 72331ecdefe3 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 6 | 840.752 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--ccfa83125643932bdfc88a2178a94ec019a2687d7915dae1ed0d6852925f603d / 560af40db25c / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 223.768 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1249,7 +1249,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap--67963edee7209ea85f9c07ec1f1195301e0ac40a975a44ef9891c5241a4ba2bc / d8c3d7d83cb6 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 3 | 29.964 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-sgda--d6bc8507ebb19649754af5075970942d5044a3b6bc10b1019d29edcbd8de2201 / 704ce2fd3b33 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 198.592 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r1r2--7728cf93188b9fe122536244667789941da52d435cfb0a3ae42b90db200d7595 / d3cc3776cbff / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 6.404 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 2eddd1d8f96e / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 11, PASS 17 | 2430.351 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--263d190ebb4c40ddb21337a16a598f5ffcca4639031b3b70aaa3036aec67b31e / 4f6d8fa83022 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 225.217 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / da02f875c533 / cuda (NVIDIA RTX A6000) | pinned | unknown | INCOMPLETE 7 | 0.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1279,7 +1279,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2--dad6fdf50034381c106102df008e26b7687b04918cab85c13721e2a2dbbbe743 / d1d45b77eaf7 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.623 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas / 2f2806b54846 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4 | 67.832 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f / a851463cd36e / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 245.135 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r3gan-stacked-training-toy-v1 / b2cdff32b14f / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.269 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p / 989a12b2dd01 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 3 | 38.915 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p-bcap-matched-v1 / 5db772f81caf / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 1 | 86.198 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1308,25 +1308,25 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | recipe-prior-refactor-k3p-v1 / cf9f9869bb47 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.095 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | e22 / 5d5582d35b88 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 63.717 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v4 / 79e308b48506 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 6, INCOMPLETE 1, PASS 8 | 471.024 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-ka2-v1 / 3a3eab89c35a / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 119e0a54eeb8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | BLOCKED 1, FAIL 12, PASS 6 | 3631.847 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / c7e4c12988d0 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, INCOMPLETE 3, PASS 17 | 3036.229 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-release07-gan-v3-v1 / 28233d06b1e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / d21b0e556ee2 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 11, INCOMPLETE 1, PASS 10 | 4658.665 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v3 / 4e3279bde695 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 12, PASS 23 | 3285.431 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / 6eb2b2fbb09d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 322.284 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | information_geometry_spectral_half_v1 / a07a5ff342eb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 258.014 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / 25cbc5b8c787 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3254.541 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 50935df05e3f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 7, INCOMPLETE 11, PASS 9 | 617.682 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / c140b8522f30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 292.838 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | kinetic_transport_sliced_v1 / 24bacd26b777 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 2 | 248.327 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / dc0c4e80c5a5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 244.104 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | constraint_geometry-control-v1 / 53ab9888fa7d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 290.783 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | hydraulic-output-travel-v1 / 45374fb781da / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 2, PASS 2 | 920.272 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 5818d9b925e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 10, PASS 11 | 2876.824 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / de4379506c30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3278.971 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | diff --git a/reports/forge/leaderboards/clockfree_continuous.md b/reports/forge/leaderboards/clockfree_continuous.md index f37fedf11..7c7965323 100644 --- a/reports/forge/leaderboards/clockfree_continuous.md +++ b/reports/forge/leaderboards/clockfree_continuous.md @@ -12,8 +12,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | atlas-particle-normal-v2 / be6d816d96dd / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 26, PASS 3; 7 held (0 pass, not counted) | 31.22 | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 26, PASS 3; 7 held (0 pass, not counted) | 31.22 | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--0fc5834c2f114d83b8b7ace471dbc8271d0afddd8c92ba1b84d5db8325a8ecd5 / b0041769b149 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -782,8 +782,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-particle-rownorm-only--f4a9ffe034745b5e5b5d465ceda964e3c7ba2d55d071e2696119f2d814fa2a38 / e45002faccda / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 26, PASS 4; 7 held (0 pass, not counted) | 31.544 | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 26, PASS 4; 7 held (0 pass, not counted) | 31.544 | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-pure--023915c9fd7c40786d1a4790539547147134610285b98821f411a3529f57f7e4 / 639030c10770 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -928,8 +928,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-tier1-stability-transport-v1 / 747008760dde / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 26, PASS 4; 7 held (0 pass, not counted) | 36.349 | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 26, PASS 4; 7 held (0 pass, not counted) | 36.349 | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-prior-fresh-gaussian-v1 / 228027c04546 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 16, NOT_RUN 14; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1090,14 +1090,14 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2-global-repair-v1 / unknown / cuda | current | 0 | unmeasured | unknown | Resolve the candidate declaration/capability blocker. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 31.14 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 31.059 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 28.571 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 28.854 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 31.14 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 31.059 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 28.571 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, FAIL 1, NOT_RUN 25, PASS 3; 7 held (0 pass, not counted) | 28.854 | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 30; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / e38a9b8435b3 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 1, NOT_RUN 29; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1127,7 +1127,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-nsgda-global--4d46c3064ad21b57f692a8edda5a7d6978e793ba7713f533fafdee6ee684e8d0 / 788a4045e8ca / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 195.901 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / 4731f466f19a / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 185.929 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-zero-damping-v1 / 9b869d8e95bc / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2117.166 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 4 | 2391.105 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 4 | 2391.105 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-pure--8e5f19612de4c3b1a27e0e143aaed4621e79696fb37050a30271fa2f823cd9bf / b8dbd2581363 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 226.204 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 07d51b9c7ed0 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 213.185 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a181de95ac0bc6f5aacbc1bf7012f0ef141335e07e24cd0f9c777dd75fff3adb / 600f01108b97 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 785.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1140,7 +1140,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-dualnorm-d-only--d3d5a2efb99e4946fbad23c361d86c7779b089269b3913059af97d837f9180bc / 5d67bce12f05 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 577.617 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 39dc1cc8e516 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | pinned | unknown | FAIL 1 | 5.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a0b49070f142c7e5fa0a02b59704572c8fad809c8580ddbd6460e53e25566a1f / 6884a2ebe7ab / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 849.577 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 7 | 351.46 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 7 | 351.46 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 6c0d20a7c340 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2449.962 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-prior-smoothing-v1 / 72331ecdefe3 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 6 | 840.752 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--ccfa83125643932bdfc88a2178a94ec019a2687d7915dae1ed0d6852925f603d / 560af40db25c / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 223.768 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1249,7 +1249,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap--67963edee7209ea85f9c07ec1f1195301e0ac40a975a44ef9891c5241a4ba2bc / d8c3d7d83cb6 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 3 | 29.964 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-sgda--d6bc8507ebb19649754af5075970942d5044a3b6bc10b1019d29edcbd8de2201 / 704ce2fd3b33 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 198.592 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r1r2--7728cf93188b9fe122536244667789941da52d435cfb0a3ae42b90db200d7595 / d3cc3776cbff / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 6.404 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 5 | 415.553 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 5 | 415.553 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 2eddd1d8f96e / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 11, PASS 17 | 2430.351 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--263d190ebb4c40ddb21337a16a598f5ffcca4639031b3b70aaa3036aec67b31e / 4f6d8fa83022 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 225.217 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / da02f875c533 / cuda (NVIDIA RTX A6000) | pinned | unknown | INCOMPLETE 7 | 0.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1279,7 +1279,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2--dad6fdf50034381c106102df008e26b7687b04918cab85c13721e2a2dbbbe743 / d1d45b77eaf7 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.623 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas / 2f2806b54846 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4 | 67.832 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f / a851463cd36e / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 245.135 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 3 | 2103.152 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 3 | 2103.152 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r3gan-stacked-training-toy-v1 / b2cdff32b14f / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.269 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p / 989a12b2dd01 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 3 | 38.915 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p-bcap-matched-v1 / 5db772f81caf / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 1 | 86.198 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1308,25 +1308,25 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | recipe-prior-refactor-k3p-v1 / cf9f9869bb47 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.095 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | e22 / 5d5582d35b88 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 63.717 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v4 / 79e308b48506 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 6, INCOMPLETE 1, PASS 8 | 471.024 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-ka2-v1 / 3a3eab89c35a / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 119e0a54eeb8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | BLOCKED 1, FAIL 12, PASS 6 | 3631.847 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / c7e4c12988d0 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, INCOMPLETE 3, PASS 17 | 3036.229 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-release07-gan-v3-v1 / 28233d06b1e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / d21b0e556ee2 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 11, INCOMPLETE 1, PASS 10 | 4658.665 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v3 / 4e3279bde695 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 12, PASS 23 | 3285.431 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / 6eb2b2fbb09d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 322.284 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | information_geometry_spectral_half_v1 / a07a5ff342eb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 258.014 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / 25cbc5b8c787 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3254.541 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 50935df05e3f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 7, INCOMPLETE 11, PASS 9 | 617.682 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / c140b8522f30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 292.838 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | kinetic_transport_sliced_v1 / 24bacd26b777 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 2 | 248.327 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / dc0c4e80c5a5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 244.104 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | constraint_geometry-control-v1 / 53ab9888fa7d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 290.783 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | hydraulic-output-travel-v1 / 45374fb781da / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 2, PASS 2 | 920.272 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 5818d9b925e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 10, PASS 11 | 2876.824 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / de4379506c30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3278.971 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | diff --git a/reports/forge/leaderboards/ddgan_conditional_repair.md b/reports/forge/leaderboards/ddgan_conditional_repair.md new file mode 100644 index 000000000..7674f7c8f --- /dev/null +++ b/reports/forge/leaderboards/ddgan_conditional_repair.md @@ -0,0 +1,28 @@ +# DDGAN conditional repair: current research leaderboard + +GPU 0 shared-load diagnostic only; no ordinary qualification or speed ranking. All runs use protocol seed 0, clean live four-step sampling and unchanged scientific gates. + +One global recipe per row; current tasks are Gaussian and the full-budget bimodal wall-allowance variant. A missing full result remains unknown. Passing marginal subgates do not count as task passes. + +| Global recipe | Current PASS / 2 | Current FAIL | Unknown | Retained incomplete attempts | +| --- | ---: | ---: | ---: | ---: | +| `bispf-ddgan-energy-annealed-v2` | 0/2 | 2 | 0 | 0 | +| `bispf-ddgan-energy-unconstrained-v3` | 0/2 | 2 | 0 | 0 | +| `bispf-optimized-quintic-v1` | 0/2 | 2 | 0 | 1 | +| `bispf-ddgan-energy-v1` | 0/2 | 1 | 1 | 1 | + +All retained attempts and exact endpoint metrics: + +| Recipe | Task | Verdict | Updates | Last 5 passes | Final CDF | Worst conditional CDF | GIF | +| --- | --- | --- | ---: | ---: | ---: | ---: | --- | +| `bispf-optimized-quintic-v1` | `ddgan_repair_bimodal_chain_v1` | **INCOMPLETE** | >=3,542/5,000 | — | — | — | — | +| `bispf-ddgan-energy-v1` | `ddgan_repair_bimodal_chain_v1` | **INCOMPLETE** | >=3,334/5,000 | — | — | — | — | +| `bispf-optimized-quintic-v1` | `ddgan_repair_gaussian_chain_v1` | **FAIL** | 2,500/2,500 | 0/5 | 0.5905 | 0.6144 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-optimized-quintic-v1-ddgan_repair_gaussian_chain_v1.gif) | +| `bispf-ddgan-energy-v1` | `ddgan_repair_gaussian_chain_v1` | **FAIL** | 2,500/2,500 | 0/5 | 0.0937 | 0.1289 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-ddgan-energy-v1-ddgan_repair_gaussian_chain_v1.gif) | +| `bispf-optimized-quintic-v1` | `ddgan_repair_bimodal_chain_wall_v2` | **FAIL** | 5,000/5,000 | 0/5 | 0.3738 | 0.4728 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-optimized-quintic-v1-ddgan_repair_bimodal_chain_wall_v2.gif) | +| `bispf-ddgan-energy-annealed-v2` | `ddgan_repair_bimodal_chain_wall_v2` | **FAIL** | 5,000/5,000 | 0/5 | 0.0450 | 0.1272 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-ddgan-energy-annealed-v2-ddgan_repair_bimodal_chain_wall_v2.gif) | +| `bispf-ddgan-energy-annealed-v2` | `ddgan_repair_gaussian_chain_v1` | **FAIL** | 2,500/2,500 | 0/5 | 0.0617 | 0.1911 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-ddgan-energy-annealed-v2-ddgan_repair_gaussian_chain_v1.gif) | +| `bispf-ddgan-energy-unconstrained-v3` | `ddgan_repair_gaussian_chain_v1` | **FAIL** | 2,500/2,500 | 0/5 | 0.0316 | 0.3707 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-ddgan-energy-unconstrained-v3-ddgan_repair_gaussian_chain_v1.gif) | +| `bispf-ddgan-energy-unconstrained-v3` | `ddgan_repair_bimodal_chain_wall_v2` | **FAIL** | 5,000/5,000 | 0/5 | 0.0436 | 0.1024 | [actual training](../../forge/ddgan-conditional-repair/media/bispf-ddgan-energy-unconstrained-v3-ddgan_repair_bimodal_chain_wall_v2.gif) | + +CDF bounds: each final and conditional panel <=0.12. A PASS also requires all mean, covariance and bimodal mode/local-spread bounds at every final five scheduled checks. [Full failed bounds, provenance and exact final metrics](../ddgan-conditional-repair/results.json). diff --git a/reports/forge/leaderboards/formulation_comparison.md b/reports/forge/leaderboards/formulation_comparison.md index ef2495b46..55527eb7a 100644 --- a/reports/forge/leaderboards/formulation_comparison.md +++ b/reports/forge/leaderboards/formulation_comparison.md @@ -12,8 +12,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | atlas-particle-normal-v2 / be6d816d96dd / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 36, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 36, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--0fc5834c2f114d83b8b7ace471dbc8271d0afddd8c92ba1b84d5db8325a8ecd5 / b0041769b149 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -782,8 +782,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-particle-rownorm-only--f4a9ffe034745b5e5b5d465ceda964e3c7ba2d55d071e2696119f2d814fa2a38 / e45002faccda / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-pure--023915c9fd7c40786d1a4790539547147134610285b98821f411a3529f57f7e4 / 639030c10770 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -928,8 +928,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-tier1-stability-transport-v1 / 747008760dde / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-prior-fresh-gaussian-v1 / 228027c04546 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 27, NOT_RUN 12; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1090,14 +1090,14 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2-global-repair-v1 / unknown / cuda | current | 0 | unmeasured | unknown | Resolve the candidate declaration/capability blocker. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 36, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 38, NOT_RUN 1; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 38, NOT_RUN 1; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / e38a9b8435b3 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 39; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1127,7 +1127,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-nsgda-global--4d46c3064ad21b57f692a8edda5a7d6978e793ba7713f533fafdee6ee684e8d0 / 788a4045e8ca / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 195.901 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / 4731f466f19a / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 185.929 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-zero-damping-v1 / 9b869d8e95bc / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2117.166 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-pure--8e5f19612de4c3b1a27e0e143aaed4621e79696fb37050a30271fa2f823cd9bf / b8dbd2581363 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 226.204 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 07d51b9c7ed0 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 213.185 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a181de95ac0bc6f5aacbc1bf7012f0ef141335e07e24cd0f9c777dd75fff3adb / 600f01108b97 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 785.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1140,7 +1140,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-dualnorm-d-only--d3d5a2efb99e4946fbad23c361d86c7779b089269b3913059af97d837f9180bc / 5d67bce12f05 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 577.617 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 39dc1cc8e516 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | pinned | unknown | FAIL 1 | 5.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a0b49070f142c7e5fa0a02b59704572c8fad809c8580ddbd6460e53e25566a1f / 6884a2ebe7ab / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 849.577 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 6c0d20a7c340 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2449.962 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-prior-smoothing-v1 / 72331ecdefe3 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 6 | 840.752 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--ccfa83125643932bdfc88a2178a94ec019a2687d7915dae1ed0d6852925f603d / 560af40db25c / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 223.768 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1249,7 +1249,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap--67963edee7209ea85f9c07ec1f1195301e0ac40a975a44ef9891c5241a4ba2bc / d8c3d7d83cb6 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 3 | 29.964 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-sgda--d6bc8507ebb19649754af5075970942d5044a3b6bc10b1019d29edcbd8de2201 / 704ce2fd3b33 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 198.592 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r1r2--7728cf93188b9fe122536244667789941da52d435cfb0a3ae42b90db200d7595 / d3cc3776cbff / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 6.404 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 2eddd1d8f96e / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 11, PASS 17 | 2430.351 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--263d190ebb4c40ddb21337a16a598f5ffcca4639031b3b70aaa3036aec67b31e / 4f6d8fa83022 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 225.217 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / da02f875c533 / cuda (NVIDIA RTX A6000) | pinned | unknown | INCOMPLETE 7 | 0.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1279,7 +1279,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2--dad6fdf50034381c106102df008e26b7687b04918cab85c13721e2a2dbbbe743 / d1d45b77eaf7 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.623 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas / 2f2806b54846 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4 | 67.832 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f / a851463cd36e / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 245.135 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r3gan-stacked-training-toy-v1 / b2cdff32b14f / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.269 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p / 989a12b2dd01 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 3 | 38.915 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p-bcap-matched-v1 / 5db772f81caf / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 1 | 86.198 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1308,25 +1308,25 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | recipe-prior-refactor-k3p-v1 / cf9f9869bb47 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.095 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | e22 / 5d5582d35b88 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 63.717 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v4 / 79e308b48506 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 6, INCOMPLETE 1, PASS 8 | 471.024 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-ka2-v1 / 3a3eab89c35a / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 119e0a54eeb8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | BLOCKED 1, FAIL 12, PASS 6 | 3631.847 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / c7e4c12988d0 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, INCOMPLETE 3, PASS 17 | 3036.229 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-release07-gan-v3-v1 / 28233d06b1e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / d21b0e556ee2 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 11, INCOMPLETE 1, PASS 10 | 4658.665 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v3 / 4e3279bde695 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 12, PASS 23 | 3285.431 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / 6eb2b2fbb09d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 322.284 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | information_geometry_spectral_half_v1 / a07a5ff342eb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 258.014 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / 25cbc5b8c787 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3254.541 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 50935df05e3f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 7, INCOMPLETE 11, PASS 9 | 617.682 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / c140b8522f30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 292.838 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | kinetic_transport_sliced_v1 / 24bacd26b777 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 2 | 248.327 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / dc0c4e80c5a5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 244.104 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | constraint_geometry-control-v1 / 53ab9888fa7d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 290.783 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | hydraulic-output-travel-v1 / 45374fb781da / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 2, PASS 2 | 920.272 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 5818d9b925e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 10, PASS 11 | 2876.824 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / de4379506c30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3278.971 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | diff --git a/reports/forge/leaderboards/host_profile_transfer.md b/reports/forge/leaderboards/host_profile_transfer.md index 0e1467dbf..afffa3403 100644 --- a/reports/forge/leaderboards/host_profile_transfer.md +++ b/reports/forge/leaderboards/host_profile_transfer.md @@ -12,8 +12,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | atlas-particle-normal-v2 / be6d816d96dd / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 34, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 34, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--0fc5834c2f114d83b8b7ace471dbc8271d0afddd8c92ba1b84d5db8325a8ecd5 / b0041769b149 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -782,8 +782,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-particle-rownorm-only--f4a9ffe034745b5e5b5d465ceda964e3c7ba2d55d071e2696119f2d814fa2a38 / e45002faccda / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-pure--023915c9fd7c40786d1a4790539547147134610285b98821f411a3529f57f7e4 / 639030c10770 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -928,8 +928,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-tier1-stability-transport-v1 / 747008760dde / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-prior-fresh-gaussian-v1 / 228027c04546 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 25, NOT_RUN 12; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1090,14 +1090,14 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2-global-repair-v1 / unknown / cuda | current | 0 | unmeasured | unknown | Resolve the candidate declaration/capability blocker. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 34, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / e38a9b8435b3 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 37; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1127,7 +1127,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-nsgda-global--4d46c3064ad21b57f692a8edda5a7d6978e793ba7713f533fafdee6ee684e8d0 / 788a4045e8ca / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 195.901 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / 4731f466f19a / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 185.929 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-zero-damping-v1 / 9b869d8e95bc / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2117.166 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-pure--8e5f19612de4c3b1a27e0e143aaed4621e79696fb37050a30271fa2f823cd9bf / b8dbd2581363 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 226.204 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 07d51b9c7ed0 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 213.185 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a181de95ac0bc6f5aacbc1bf7012f0ef141335e07e24cd0f9c777dd75fff3adb / 600f01108b97 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 785.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1140,7 +1140,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-dualnorm-d-only--d3d5a2efb99e4946fbad23c361d86c7779b089269b3913059af97d837f9180bc / 5d67bce12f05 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 577.617 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 39dc1cc8e516 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | pinned | unknown | FAIL 1 | 5.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a0b49070f142c7e5fa0a02b59704572c8fad809c8580ddbd6460e53e25566a1f / 6884a2ebe7ab / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 849.577 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 6c0d20a7c340 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2449.962 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-prior-smoothing-v1 / 72331ecdefe3 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 6 | 840.752 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--ccfa83125643932bdfc88a2178a94ec019a2687d7915dae1ed0d6852925f603d / 560af40db25c / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 223.768 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1249,7 +1249,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap--67963edee7209ea85f9c07ec1f1195301e0ac40a975a44ef9891c5241a4ba2bc / d8c3d7d83cb6 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 3 | 29.964 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-sgda--d6bc8507ebb19649754af5075970942d5044a3b6bc10b1019d29edcbd8de2201 / 704ce2fd3b33 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 198.592 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r1r2--7728cf93188b9fe122536244667789941da52d435cfb0a3ae42b90db200d7595 / d3cc3776cbff / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 6.404 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 2eddd1d8f96e / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 11, PASS 17 | 2430.351 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--263d190ebb4c40ddb21337a16a598f5ffcca4639031b3b70aaa3036aec67b31e / 4f6d8fa83022 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 225.217 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / da02f875c533 / cuda (NVIDIA RTX A6000) | pinned | unknown | INCOMPLETE 7 | 0.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1279,7 +1279,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2--dad6fdf50034381c106102df008e26b7687b04918cab85c13721e2a2dbbbe743 / d1d45b77eaf7 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.623 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas / 2f2806b54846 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4 | 67.832 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f / a851463cd36e / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 245.135 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r3gan-stacked-training-toy-v1 / b2cdff32b14f / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.269 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p / 989a12b2dd01 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 3 | 38.915 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p-bcap-matched-v1 / 5db772f81caf / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 1 | 86.198 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1308,25 +1308,25 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | recipe-prior-refactor-k3p-v1 / cf9f9869bb47 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.095 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | e22 / 5d5582d35b88 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 63.717 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v4 / 79e308b48506 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 6, INCOMPLETE 1, PASS 8 | 471.024 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-ka2-v1 / 3a3eab89c35a / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 119e0a54eeb8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | BLOCKED 1, FAIL 12, PASS 6 | 3631.847 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / c7e4c12988d0 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, INCOMPLETE 3, PASS 17 | 3036.229 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-release07-gan-v3-v1 / 28233d06b1e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / d21b0e556ee2 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 11, INCOMPLETE 1, PASS 10 | 4658.665 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v3 / 4e3279bde695 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 12, PASS 23 | 3285.431 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / 6eb2b2fbb09d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 322.284 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | information_geometry_spectral_half_v1 / a07a5ff342eb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 258.014 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / 25cbc5b8c787 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3254.541 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 50935df05e3f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 7, INCOMPLETE 11, PASS 9 | 617.682 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / c140b8522f30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 292.838 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | kinetic_transport_sliced_v1 / 24bacd26b777 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 2 | 248.327 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / dc0c4e80c5a5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 244.104 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | constraint_geometry-control-v1 / 53ab9888fa7d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 290.783 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | hydraulic-output-travel-v1 / 45374fb781da / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 2, PASS 2 | 920.272 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 5818d9b925e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 10, PASS 11 | 2876.824 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / de4379506c30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3278.971 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | diff --git a/reports/forge/leaderboards/quality_coverage.md b/reports/forge/leaderboards/quality_coverage.md index 37f5d5f64..61e082fd4 100644 --- a/reports/forge/leaderboards/quality_coverage.md +++ b/reports/forge/leaderboards/quality_coverage.md @@ -12,8 +12,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | atlas-particle-normal-v2 / be6d816d96dd / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | atlas-particle-normal-v3 / d39facf334fe / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 19, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | current | 0 | FAIL 1, NOT_RUN 19, PASS 2; 7 held (0 pass, not counted) | 23.086 | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--08689a73c551728cc82434ac9601a06d1a9f3efa1a3999d5a3ec9e69746cc212 / 4cf21dd77d0b / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap--0fc5834c2f114d83b8b7ace471dbc8271d0afddd8c92ba1b84d5db8325a8ecd5 / b0041769b149 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -782,8 +782,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-particle-rownorm-only--f4a9ffe034745b5e5b5d465ceda964e3c7ba2d55d071e2696119f2d814fa2a38 / e45002faccda / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-particle-rownorm-only-v1 / 82a4bb4f6531 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | -| bcap-prior-coulomb-control-v1 / 3b5047770feb / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 24.55 | Run the next eligible task within an explicit budget. | +| bcap-prior-coulomb-control-v1 / 21fce6ca73c8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-prior-proximal-v1 / 38b7d1e08385 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bcap-pure--023915c9fd7c40786d1a4790539547147134610285b98821f411a3529f57f7e4 / 639030c10770 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -928,8 +928,8 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-tier1-stability-transport-v1 / 747008760dde / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-frobenius-v1 / 5c4f570ff999 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 28.863 | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-optimized-v1 / c95ae4a162ae / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | bispf-prior-fresh-gaussian-v1 / 228027c04546 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 12, NOT_RUN 10; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1090,14 +1090,14 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2-global-repair-v1 / unknown / cuda | current | 0 | unmeasured | unknown | Resolve the candidate declaration/capability blocker. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | r3gan-stacked-training-toy-v1 / 078e581a7d14 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-k3p-v1 / 57b4e63e98b9 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-ka2-v1 / 416d61c9326d / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | -| recipe-prior-refactor-release07-gan-v3-v1 / 244bb5cd81ed / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 23.838 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-k3p-v1 / e3680ce98264 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-ka2-v1 / 344ea7263795 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 23.832 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 21.781 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cuda (NVIDIA RTX A6000) | current | 0 | NOT_RUN 19, PASS 3; 7 held (0 pass, not counted) | 22.003 | Run the next eligible task within an explicit budget. | +| recipe-prior-refactor-release07-gan-v3-v1 / 5e8301e5d868 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | BLOCKED 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-cloud-v1 / 60614cb714f8 / cuda (NVIDIA RTX A6000) | current | 0 | BLOCKED 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / e38a9b8435b3 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | current | 0 | NOT_RUN 22; 7 held (0 pass, not counted) | unknown | Run the next eligible task within an explicit budget. | @@ -1127,7 +1127,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-nsgda-global--4d46c3064ad21b57f692a8edda5a7d6978e793ba7713f533fafdee6ee684e8d0 / 788a4045e8ca / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 195.901 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c / 4731f466f19a / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 185.929 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-zero-damping-v1 / 9b869d8e95bc / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2117.166 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 6, PASS 5 | 2398.591 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-pure--8e5f19612de4c3b1a27e0e143aaed4621e79696fb37050a30271fa2f823cd9bf / b8dbd2581363 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 226.204 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 07d51b9c7ed0 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 213.185 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a181de95ac0bc6f5aacbc1bf7012f0ef141335e07e24cd0f9c777dd75fff3adb / 600f01108b97 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 785.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1140,7 +1140,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap-dualnorm-d-only--d3d5a2efb99e4946fbad23c361d86c7779b089269b3913059af97d837f9180bc / 5d67bce12f05 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 577.617 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | forge-onboarding-anchor-ablation / 39dc1cc8e516 / cpu (AMD Ryzen 9 5900X 12-Core Processor) | pinned | unknown | FAIL 1 | 5.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--a0b49070f142c7e5fa0a02b59704572c8fad809c8580ddbd6460e53e25566a1f / 6884a2ebe7ab / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 2 | 849.577 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 7 | 358.25 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 6c0d20a7c340 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 13, PASS 15 | 2449.962 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-tier2-round6-prior-smoothing-v1 / 72331ecdefe3 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 6 | 840.752 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--ccfa83125643932bdfc88a2178a94ec019a2687d7915dae1ed0d6852925f603d / 560af40db25c / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 223.768 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1249,7 +1249,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | bcap--67963edee7209ea85f9c07ec1f1195301e0ac40a975a44ef9891c5241a4ba2bc / d8c3d7d83cb6 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1, PASS 3 | 29.964 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-sgda--d6bc8507ebb19649754af5075970942d5044a3b6bc10b1019d29edcbd8de2201 / 704ce2fd3b33 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 4, PASS 3 | 198.592 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r1r2--7728cf93188b9fe122536244667789941da52d435cfb0a3ae42b90db200d7595 / d3cc3776cbff / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 6.404 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 5, PASS 6 | 423.687 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / 2eddd1d8f96e / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 11, PASS 17 | 2430.351 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap--263d190ebb4c40ddb21337a16a598f5ffcca4639031b3b70aaa3036aec67b31e / 4f6d8fa83022 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 225.217 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bispf-v2 / da02f875c533 / cuda (NVIDIA RTX A6000) | pinned | unknown | INCOMPLETE 7 | 0.975 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1279,7 +1279,7 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | r1r2--dad6fdf50034381c106102df008e26b7687b04918cab85c13721e2a2dbbbe743 / d1d45b77eaf7 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.623 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas / 2f2806b54846 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 4 | 67.832 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f / a851463cd36e / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 3, PASS 4 | 245.135 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | pinned | unknown | FAIL 7, PASS 4 | 2110.146 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | r3gan-stacked-training-toy-v1 / b2cdff32b14f / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | pinned | unknown | FAIL 1 | 5.269 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p / 989a12b2dd01 / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 3 | 38.915 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | k3p-bcap-matched-v1 / 5db772f81caf / cuda (AMD Ryzen 9 5900X 12-Core Processor, NVIDIA RTX A6000) | calibration_diagnostic | unknown | FAIL 1 | 86.198 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | @@ -1308,25 +1308,25 @@ Ordered by attained tier, then candidate name/cohort; raw metrics and cost remai | recipe-prior-refactor-k3p-v1 / cf9f9869bb47 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.095 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | e22 / 5d5582d35b88 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 63.717 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v4 / 79e308b48506 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 6, INCOMPLETE 1, PASS 8 | 471.024 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| bispf-optimized-quintic-v1 / 564199402b93 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| bispf-optimized-quintic-v1 / 6db8151c1a98 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 61.564 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-ka2-v1 / 3a3eab89c35a / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 59.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 119e0a54eeb8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | BLOCKED 1, FAIL 12, PASS 6 | 3631.847 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / c7e4c12988d0 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, INCOMPLETE 3, PASS 17 | 3036.229 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 62.685 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | recipe-prior-refactor-release07-gan-v3-v1 / 28233d06b1e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.626 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / d21b0e556ee2 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 11, INCOMPLETE 1, PASS 10 | 4658.665 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v3 / 4e3279bde695 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 12, PASS 23 | 3285.431 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / 6eb2b2fbb09d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 322.284 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | information_geometry_spectral_half_v1 / a07a5ff342eb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 258.014 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-bcap-pure-v1 / 3b5047770feb / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-bcap-pure-v1 / 21fce6ca73c8 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 162.852 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / 25cbc5b8c787 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3254.541 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 50935df05e3f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 7, INCOMPLETE 11, PASS 9 | 617.682 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / c140b8522f30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 292.838 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | kinetic_transport_sliced_v1 / 24bacd26b777 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 2 | 248.327 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | bcap-dualnorm--5b1ef16597377d87cbc5a4cc4a152d207884e3d3c3b7ca48968f98c77a11fa36 / dc0c4e80c5a5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 4, PASS 2 | 244.104 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | constraint_geometry-control-v1 / 53ab9888fa7d / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 3, PASS 3 | 290.783 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| recipe-prior-refactor-r1r2-v1 / 84e53bb16442 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | -| atlas-particle-normal-v4 / 067f29bc52d5 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| recipe-prior-refactor-r1r2-v1 / 8a77a5bd4e1f / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | PASS 6 | 60.253 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | +| atlas-particle-normal-v4 / 3e568ed22134 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 14, PASS 24 | 4407.023 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | hydraulic-output-travel-v1 / 45374fb781da / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 2, PASS 2 | 920.272 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v1 / 5818d9b925e9 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 10, PASS 11 | 2876.824 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | | atlas-particle-normal-v2 / de4379506c30 / cuda (NVIDIA RTX A6000) | research_diagnostic | 0 | FAIL 16, PASS 22 | 3278.971 | Publish the stopped cohort readout, or declare a new compatible revision before further qualification. | diff --git a/reports/forge/leaderboards/vaegan_coverage.md b/reports/forge/leaderboards/vaegan_coverage.md new file mode 100644 index 000000000..457fd4f1f --- /dev/null +++ b/reports/forge/leaderboards/vaegan_coverage.md @@ -0,0 +1,5 @@ +# VAEGAN coverage research + +The [current comparison, all six runs, numerical bounds and actual-training GIFs](../vaegan-coverage/README.md) +are maintained in one authoritative report. This file is a navigation pointer; +it contains no separate ranking or qualification result. diff --git a/reports/forge/leading-failures-20261022/README.md b/reports/forge/leading-failures-20261022/README.md new file mode 100644 index 000000000..a515ee0e4 --- /dev/null +++ b/reports/forge/leading-failures-20261022/README.md @@ -0,0 +1,40 @@ +# BISPF failure investigations, 2026-10-22 + +These eleven audits explain why the selected BISPF recipe failed its recorded tests. +They inspect existing measurements and add no training, sampling, repairs or qualification. +The reports, numerical readouts and audit sources are preserved byte for byte from their +original PR commits. They are consolidated in PR #473 so the shared evidence can be reviewed once. + +The [current technique inventory](../technique-inventory.md) owns current benchmark status. +Counts, source hashes and mechanism observations on the child pages describe their dated cohorts. +Their original FAIL results remain unchanged. Later held-test policy and repair studies do not +turn those failures into passes or establish a replacement default. + +| Original PR | Preserved investigation | Original immutable commit | +| --- | --- | --- | +| [#463](https://github.com/255BITS/ParticleGAN/pull/463) | [gaussian1d_stability](gaussian1d_stability/README.md) | [f50d94e8258f](https://github.com/255BITS/ParticleGAN/commit/f50d94e8258f75565e87c2240a50d18659266d3b) | +| [#464](https://github.com/255BITS/ParticleGAN/pull/464) | [img_bars4](img_bars4/README.md) | [a0bfac2d5dcf](https://github.com/255BITS/ParticleGAN/commit/a0bfac2d5dcf2deb248fbe4f9b8a1b1f7ebdb07c) | +| [#465](https://github.com/255BITS/ParticleGAN/pull/465) | [img_blobs4](img_blobs4/README.md) | [8166ee119bed](https://github.com/255BITS/ParticleGAN/commit/8166ee119bed520f0ccfecfaf63607aaf77e6469) | +| [#466](https://github.com/255BITS/ParticleGAN/pull/466) | [img_intensity2](img_intensity2/README.md) | [08737791a852](https://github.com/255BITS/ParticleGAN/commit/08737791a85231bb0ea8e52d4b7b5d503b3ca595) | +| [#467](https://github.com/255BITS/ParticleGAN/pull/467) | [grid100](grid100/README.md) | [7f50d9a08eb7](https://github.com/255BITS/ParticleGAN/commit/7f50d9a08eb731fca1ac3aaab7ec3ba168d06d6c) | +| [#468](https://github.com/255BITS/ParticleGAN/pull/468) | [rotated100](rotated100/README.md) | [f3bac9fc1a4f](https://github.com/255BITS/ParticleGAN/commit/f3bac9fc1a4fee89b7cf075d21a87c7d9dfa2899) | +| [#469](https://github.com/255BITS/ParticleGAN/pull/469) | [staggered100](staggered100/README.md) | [d70f009a7a18](https://github.com/255BITS/ParticleGAN/commit/d70f009a7a1892e648dc34a5326f39735bf36c00) | +| [#470](https://github.com/255BITS/ParticleGAN/pull/470) | [vector_unequal_mass](vector_unequal_mass/README.md) | [bbf315460863](https://github.com/255BITS/ParticleGAN/commit/bbf3154608636cdd7d70de0bd8c1bb89c6bc3d29) | +| [#471](https://github.com/255BITS/ParticleGAN/pull/471) | [vector_unequal_width](vector_unequal_width/README.md) | [22b082c5605b](https://github.com/255BITS/ParticleGAN/commit/22b082c5605bb2ff6ae8df3ad00567b9e054c45b) | +| [#472](https://github.com/255BITS/ParticleGAN/pull/472) | [vector_anisotropic](vector_anisotropic/README.md) | [4a6b50118252](https://github.com/255BITS/ParticleGAN/commit/4a6b501182529fa5adadac36092b9b4a7c7fb564) | +| [#473](https://github.com/255BITS/ParticleGAN/pull/473) | [vector_overlap](vector_overlap/README.md) | [5ff21abf5e6f](https://github.com/255BITS/ParticleGAN/commit/5ff21abf5e6f63325b3ea628c91fab5079bf7ded) | + +## Reproduction and limits + +Each child page declares its original readout archive, executed source, recipe, task, +initialization, update budget, sampling law and actual-training GIF. Run the retained audit +from its original commit and supply that exact archive; summaries cannot replace the original +observations. Some audit outputs also hash the investigation-time source and publication, +so running `--check` on a later checkout is not an equivalent reproduction. + +The historical archive path `/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/` +was unavailable during the 2026-11-08 integration. The integration verified original-file +identity and report links; it did not repeat the original readout audits or recover missing +checkpoint/sample tensors. Those missing tensors still limit causal attribution. + +No leaderboard or original evidence was rewritten during consolidation. diff --git a/reports/forge/leading-failures-20261022/gaussian1d_stability/README.md b/reports/forge/leading-failures-20261022/gaussian1d_stability/README.md new file mode 100644 index 000000000..90982de93 --- /dev/null +++ b/reports/forge/leading-failures-20261022/gaussian1d_stability/README.md @@ -0,0 +1,146 @@ +# BISPF Gaussian stability failure investigation + +The selected `bispf-optimized-quintic-v1` fails to stay settled both before and +after the target moves. This is broader than slow post-shift transport: its mean +already reaches the allowed shifted-target interval at update 4,084, but it never +maintains the required distribution. Every failed scheduled observation fails +the CDF gate, including many observations with acceptable mean and width. + +This investigation analyzes retained public-API training evidence with **zero +new updates and zero new sampling draws**. It preserves the original FAIL and +the [single current leaderboard](../../technique-inventory.md). Its 18 PASS / 11 +FAIL / 20 unmeasured selected full-suite cells are a different denominator from +the optimized recipe's completed original 30-task study (19 PASS / 11 FAIL). + +## Exact question and evidence + +Continue the recipe's own passing 1,000-update Gaussian smoke checkpoint without +resetting optimizer histories or streams. The target is initially `N(2, 0.5²)`; +at update 4,001 it becomes `N(3, 0.5²)`. Require all 72 stationary observations, +the last five observations before the update-5,000 recovery deadline, and all 24 +subsequent shifted-hold observations to pass. A matched frozen pre-shift model +is a negative control. The ordinary gate is stronger than five endpoint passes. + +The [task declaration](../../../../configs/forge/tasks/gaussian1d_stability.json) +matches the executed declaration. Each observation uses 4,096 public-prior +samples, live weights, clean output (MoG kernel noise retained), finite fraction +1, mean error at most 0.2 target standard deviations, width ratio in [0.8, 1.2], +and empirical CDF KS at most 0.05 against the analytic target CDF. + +| Binding | Recorded identity | +| --- | --- | +| Candidate revision | `8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def` | +| Executed source | `d9d72d53761c898bce20102e1995fc3d899c1447` | +| Source digest | `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213` | +| Attempt | [`6141a1c953cc41189a24685cf8080743`](../../technique-receipts/6141a1c953cc41189a24685cf8080743.json) | +| Initial conditions | Seed 0, public deterministic orthogonal initialization, 256 learned MoG locations, sigma 0.1, fixed width and uniform weights | +| Host | Two-hidden-layer, width-32 scalar MLP G/D; critic Fourier-2 input; latent dimension 2; batch 128 | +| Recipe | Non-saturating loss; BISPF penalty; zero-momentum DualNorm, smoothing 0.001; LR 0.012, D multiplier 1.5, prior multiplier 2.5; learned prior with SBNP weight 0.01 | +| Budget and runtime | Own 1,000-update prefix plus 5,000 continuation updates, 600-second allowance; RTX A6000 / Torch 2.14.0 CUDA; 89.604 recorded worker seconds for this attempt | + +The original readout is retained at +`/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`, +SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`. +That matches the original archive identity in the +[quality publication](../../bispf-optimized/quality.json), despite its older +`/home/martyn/dev/ParticleGAN/...` location. The audit hashes the original before +reading its 120 active and 48 frozen observations; compact summaries alone are +not substituted for those histories. [analysis.json](analysis.json) retains the +bindings, source file hashes, aggregate findings and original artifact hashes. + +## What the saved numbers establish + +| Phase | Passing / required checks | CDF failures | Mean failures | Width failures | Longest passing run | +| --- | ---: | ---: | ---: | ---: | ---: | +| Stationary, updates 1,042–4,000 | 6 / 72 | 66 | 35 | 6 | 2 | +| Recovery window, 4,042–5,000 | 2 / 24; last-five gate FAIL | 22 | 8 | 3 | 1 | +| Shifted hold, 5,042–6,000 | 2 / 24 | 22 | 12 | 7 | 1 | +| Frozen negative control, 4,042–6,000 | 0 / 48 | 48 | 48 | 0 | 0 | + +Failures overlap within a check; counts must not be added as independent trials. +The recovery window requires its final five checks, not all 24. Only update +4,959 passes among those final five; update 5,000 fails CDF KS at 0.09705. + +The stationary mean error reaches 0.830 sigma and CDF KS reaches 0.373. +Shifted-hold width ratio ranges from 0.659 to 2.876, while the frozen model's +width ratio stays between 0.863 and 0.900. The active model learns the shifted +location, but repeatedly leaves the permitted distribution. The frozen model +remains near the old location and fails all shifted checks, so simply stopping +all learning cannot solve the whole question. + +At update 6,000, mean error 0.05474 sigma and width ratio 0.87651 pass, but CDF +KS **0.07032 > 0.05** fails. Mean and width do not characterize the full law. +This does not identify a particular skew, tail or modality defect without the +saved sample tensors. The older problem-list figures, 5/72 and 0/24 for +`bispf-v2`, must not replace this selected recipe's 6/72 and 2/24. + +All state remained finite; all G/D/prior counters reach 6,000; 121 evaluation RNG +audits report zero unintended deviations. Continuity records an exact restore of +the recipe's own passing smoke state, no history reset, and matched frozen draws. +The FAIL is numerical, rather than a timeout, missing prerequisite or RNG error. + +## Mechanisms checked and limits + +Source inspection uses the **executed commit**, because current `bispf.py` and +`dualnorm.py` have since changed. The frozen +[recipe factory](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py) +selects `GANLoss("non_saturating")`; `SinkhornRelativisticLoss` is selected only +for the separate `loss="relativistic"` setting. Sinkhorn remains active inside +the BISPF penalty/cooler, not as this recipe's adversarial pairing loss. + +The frozen +[BISPF penalty and hook](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py) +enable continuous scalar transport chords and state-dependent thermal gradient +scaling on this host. Its special late two-dimensional density rule is +inapplicable to scalar outputs. The +[DualNorm update](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py) +uses smoothed polar updates for dense weights and normalized directions for +biases/prior rows. The nominal recipe rates remain high even after a smoke PASS; +thermal state and smoothing affect the actual move. Continued motion is a +plausible mechanism to inspect, **not an established causal attribution**. + +The quintic optimization is restricted to eligible convolution groups; this +dense scalar host does not execute it. The ordinary quality publication records +exact equality to the older incumbent's endpoint metrics. Blaming the quintic +convolution delta for the Gaussian failure is unsupported. + +The archive readout retains hashes for initial, pre-shift, frozen and final +states and saved samples, but those tensor files were not found at their +declared paths or in the inspected mounted study tree. Thus this PR cannot +measure the actual thermal history, per-update gradient direction or cause of +the oscillations. Missing state is an artifact-retrieval task, not permission +to repeat unchanged training. The existing +[actual-training GIF](../../bispf-optimized/quality-media/gaussian1d_stability.gif) +and its [receipt](../../bispf-optimized/quality-media/gaussian1d_stability.json) +retain this exact attempt and original observed-sample hash; metrics above +determine the findings. + +## Next investigation and checks + +First retrieve the exact state and sample files listed in `analysis.json` and +verify their digests. With **zero optimizer updates**, inspect the saved +1,000/4,000/6,000 states and 120 observed sample sets for distribution shape, +thermal scale and adversarial versus SBNP gradient contributions. Keep the +restored training streams unchanged. A successful readout must identify a +specific measured update mechanism before proposing a new structural recipe; +the present evidence supports failure to settle but cannot choose that recipe. + +The [earlier research controls](../../test-dispositions-20261015/README.md#gaussian1d_stability) +include Gaussian passers that lose ring16 or mode hold, and an idle-rule idea +that still failed Gaussian stability and regressed acquisition. These are +separate recipes and source cohorts. Any later repair must declare one global +trainer delta, including its prior policy and regularizer, and preserve the +unchanged Gaussian, ring16 and mode-hold gates before broader qualification. +No new run or altered gate is declared here. + +Reproduce the dependency-free audit from the repository root: + +```sh +python -u reports/forge/leading-failures-20261022/gaussian1d_stability/audit.py \ + --readout /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json \ + --check +``` + +`audit=PASS` means the retained analysis matches, while the original scientific +gate remains FAIL. Run stdout may be redirected to an ignored `runs/` log and +tailed with `tail -F`; no bulk execution history is committed. diff --git a/reports/forge/leading-failures-20261022/gaussian1d_stability/analysis.json b/reports/forge/leading-failures-20261022/gaussian1d_stability/analysis.json new file mode 100644 index 000000000..25ec3f024 --- /dev/null +++ b/reports/forge/leading-failures-20261022/gaussian1d_stability/analysis.json @@ -0,0 +1,367 @@ +{ + "actual_training_media": { + "attempt": "6141a1c953cc41189a24685cf8080743", + "path": "reports/forge/bispf-optimized/quality-media/gaussian1d_stability.gif", + "receipt": { + "path": "reports/forge/bispf-optimized/quality-media/gaussian1d_stability.json", + "sha256": "8bc6af84cc410a899ceda8483583744691c9391af7ff2dc2491bbe0c0a003872" + }, + "sha256": "277a0432eedfad2c44a6c3f4bf0cb186b63317b010643ded15fc3162befcca54", + "status": "FAIL", + "task": "gaussian1d_stability" + }, + "artifact_manifest": { + "file_count": 5, + "files": { + "frozen-state.pt": { + "sha256": "ebf0f358f5b05e5133569f12e39cc57d19818767a2b43d3655730f240dcf482a", + "size": 67567 + }, + "initial-state.pt": { + "sha256": "c3542df0df12fd549472b779e827d460b079ea797b4b39fb94393c937598a497", + "size": 67628 + }, + "observed-samples.pt": { + "sha256": "62322c5e2bba163b0c0e9800ceb03ed32512e731637b0388c2a5b5e32f0e0623", + "size": 2841428 + }, + "pre-shift-state.pt": { + "sha256": "1ed05dc9bd5624dc019ce7ca308c7f22bde214f6ee7cf03a17fa36d7c1999a6d", + "size": 67942 + }, + "state.pt": { + "sha256": "6fd5d5be76e5e076d6e4d4a103662477aea254904375f84915a26650d240c0ef", + "size": 65988 + } + }, + "schema_version": 1, + "sha256": "7762ed3b92953f89618716fe18ad415302f080a54a17f46a7737032540bb82e9", + "total_bytes": 3110553 + }, + "attempt": "6141a1c953cc41189a24685cf8080743", + "candidate": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "causal_limit": "Observation histories establish failed settling and recovery; unsupplied state/sample files prevent gradient or controller attribution.", + "completed_steps": 6000, + "continuation_updates": 5000, + "continuity": { + "diagnostic_continuation": false, + "frozen_completed_steps": 4000, + "history_reset": false, + "matched_frozen_draws": true, + "parent_candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "parent_checkpoint_sha256": "58480ebca07153f4212cccf6327cd2d1ffff0db05f2ef8150bde5c76be7c41ec", + "parent_compatibility_key": "86e83f2ffaa4b7acab368495f7fc594471d833fee42650c86a95284ac5ffc074", + "parent_smoke_status": "PASS", + "parent_state_sha256": "79863304a0312d2d26b277d97b9bfeb161a7e2e9a5b9150fe66b61bf940ab44d", + "prefix_steps": 1000, + "restored_exactly": true + }, + "data_sha256": { + "shift": "dd6e1f6297c495d55222ca2d114743b3da84e99efe83d48df12d7228017e39ba", + "stationary": "2f7028a0573a22229ad8fe98622b2beee82e5ce7231fef1910af221af65f8d7f" + }, + "endpoint_failed_bounds": [ + "cdf_ks <= 0.05" + ], + "final_metrics": { + "cdf_ks": 0.07031856505709322, + "finite_fraction": 1.0, + "mean": 3.027367955102818, + "mean_error_sigma": 0.054735910205636173, + "sample_count": 4096, + "std": 0.4382549978248519, + "std_ratio": 0.8765099956497038, + "step": 6000 + }, + "initial_model_hashes": { + "discriminator": "37a0a0258e309b13da1eda6239ad5229b1e753853b1e93d278e36b7514e72fbe", + "generator": "01a823b580c2f0f4dab42ab42c4d02695fca338724152107b7285fae67212ed6", + "prior": "63df45759d32b076d4ce340ee48c325acb1e523275134b74040023ffbae52674" + }, + "new_sampling_draws": 0, + "new_training_updates": 0, + "original_readout_sha256": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe", + "original_wall_seconds": 89.60412053903565, + "phases": { + "frozen_control": { + "checks": 48, + "failing_checks_by_bound": { + "cdf_ks <= 0.05": 48, + "mean_error_sigma <= 0.2": 48 + }, + "first_step": 4042, + "last_step": 6000, + "longest_passing_run": 0, + "metric_ranges": { + "cdf_ks": { + "max": 0.7679963811994159, + "min": 0.7412613091082684 + }, + "mean_error_sigma": { + "max": 2.1460310819384176, + "min": 2.095414518757025 + }, + "std_ratio": { + "max": 0.9002335720076301, + "min": 0.8632506953409336 + } + }, + "passing_checks": 0, + "passing_steps": [], + "passing_suffix": 0 + }, + "reacquisition_window": { + "checks": 24, + "failing_checks_by_bound": { + "cdf_ks <= 0.05": 22, + "mean_error_sigma <= 0.2": 8, + "std_ratio <= 1.2": 2, + "std_ratio >= 0.8": 1 + }, + "first_step": 4042, + "last_step": 5000, + "longest_passing_run": 1, + "metric_ranges": { + "cdf_ks": { + "max": 0.25028692804366215, + "min": 0.033980070503796256 + }, + "mean_error_sigma": { + "max": 0.6286043865256943, + "min": 0.016988708754070103 + }, + "std_ratio": { + "max": 1.2325794640124794, + "min": 0.7501590095006824 + } + }, + "passing_checks": 2, + "passing_steps": [ + 4709, + 4959 + ], + "passing_suffix": 0 + }, + "shifted_hold": { + "checks": 24, + "failing_checks_by_bound": { + "cdf_ks <= 0.05": 22, + "mean_error_sigma <= 0.2": 12, + "std_ratio <= 1.2": 3, + "std_ratio >= 0.8": 4 + }, + "first_step": 5042, + "last_step": 6000, + "longest_passing_run": 1, + "metric_ranges": { + "cdf_ks": { + "max": 0.3386099991679121, + "min": 0.035170433605824114 + }, + "mean_error_sigma": { + "max": 0.6474522103671916, + "min": 0.008082656364422292 + }, + "std_ratio": { + "max": 2.8757420768244977, + "min": 0.659436380820266 + } + }, + "passing_checks": 2, + "passing_steps": [ + 5250, + 5917 + ], + "passing_suffix": 0 + }, + "stationary": { + "checks": 72, + "failing_checks_by_bound": { + "cdf_ks <= 0.05": 66, + "mean_error_sigma <= 0.2": 35, + "std_ratio <= 1.2": 4, + "std_ratio >= 0.8": 2 + }, + "first_step": 1042, + "last_step": 4000, + "longest_passing_run": 2, + "metric_ranges": { + "cdf_ks": { + "max": 0.37305253819844497, + "min": 0.019113701023262375 + }, + "mean_error_sigma": { + "max": 0.8297899702156428, + "min": 0.004149675805820152 + }, + "std_ratio": { + "max": 1.5715624768123742, + "min": 0.7764446534668333 + } + }, + "passing_checks": 6, + "passing_steps": [ + 1417, + 1750, + 2167, + 2209, + 3084, + 3209 + ], + "passing_suffix": 0 + } + }, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.1, + "standardize": false + }, + "prior_policy": { + "applicability": "latent_prior", + "contract": "recipe_owned_v1", + "eps": 0.0001, + "l2": 0.0, + "regularizer": "sbnp", + "target_std": 1.0, + "trainable_locations": true, + "update": "learned", + "weight": 0.01 + }, + "protocol_seed": 0, + "qualification_input": false, + "recorded_verdict": "FAIL", + "resolved_recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 128, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.6, + "lr_control": "mobility", + "lr_floor": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 256, + "observation_sigma": 0.03, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "mog", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 1000, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 2 + }, + "rng_audit_count": 121, + "schema_version": 1, + "scope": "retained_observation_analysis", + "source_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_files_sha256": { + "benchmarks/toy_audit/gaussian1d_quality.py": "7ec72e07c1aea87e77c85401b7e822f23d5a248ba45d718180045a1ad64ccd8b", + "configs/forge/tasks/gaussian1d_stability.json": "c6926e60b8cdc1cacdb11f6d8790c3064199ba659205100224d9c68fbbd72c7c", + "experiments/forge/gaussian_tasks.py": "536863c58e7fcc35583b1ea5c890e6fd7093802f23f58fb36dacb5bdd7054619", + "particlegan/bispf.py": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58", + "particlegan/optim/dualnorm.py": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9", + "particlegan/recipes.py": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621" + }, + "thresholds": [ + [ + "sample_count", + ">=", + 4096 + ], + [ + "finite_fraction", + "==", + 1.0 + ], + [ + "mean_error_sigma", + "<=", + 0.2 + ], + [ + "std_ratio", + ">=", + 0.8 + ], + [ + "std_ratio", + "<=", + 1.2 + ], + [ + "cdf_ks", + "<=", + 0.05 + ] + ], + "unintended_rng_deviations": 0 +} diff --git a/reports/forge/leading-failures-20261022/gaussian1d_stability/audit.py b/reports/forge/leading-failures-20261022/gaussian1d_stability/audit.py new file mode 100644 index 000000000..3b2d0df98 --- /dev/null +++ b/reports/forge/leading-failures-20261022/gaussian1d_stability/audit.py @@ -0,0 +1,146 @@ +"""Audit retained BISPF Gaussian observations; performs no training or sampling.""" +from __future__ import annotations + +import argparse +from collections import Counter +import hashlib +import json +import math +import operator +from pathlib import Path +import subprocess + +ROOT = Path(__file__).resolve().parents[4] +HERE = Path(__file__).resolve().parent +TASK = "gaussian1d_stability" +ATTEMPT = "6141a1c953cc41189a24685cf8080743" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +ARCHIVE_SHA = "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" +OPS = {">=": operator.ge, "<=": operator.le, "==": operator.eq} + + +def require(condition, message): + if not condition: + raise ValueError(message) + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def frozen(path): + return subprocess.check_output(["git", "-C", str(ROOT), "show", f"{SOURCE}:{path}"]) + + +def failures(row, thresholds): + return [f"{key} {op} {bound}" for key, op, bound in thresholds + if not (type(row.get(key)) in (int, float) and math.isfinite(row[key]) + and OPS[op](row[key], bound))] + + +def phase(rows, thresholds): + counts = Counter() + longest = current = suffix = 0 + passes = [] + for row in rows: + failed = failures(row, thresholds) + counts.update(failed) + if not failed: + passes.append(row["step"]) + current += 1 + longest = max(longest, current) + else: + current = 0 + suffix = current + return dict(checks=len(rows), passing_checks=len(passes), passing_steps=passes, + first_step=rows[0]["step"], last_step=rows[-1]["step"], + longest_passing_run=longest, passing_suffix=suffix, + failing_checks_by_bound=dict(sorted(counts.items())), + metric_ranges={key: dict(min=min(r[key] for r in rows), max=max(r[key] for r in rows)) + for key in ("mean_error_sigma", "std_ratio", "cdf_ks")}) + + +def audit(path): + raw = path.read_bytes() + require(sha(raw) == ARCHIVE_SHA, "Original full-readout digest differs") + readout = json.loads(raw) + quality = json.loads((ROOT / "reports/forge/bispf-optimized/quality.json").read_text()) + row = next(r for r in readout["task_results"] if r["task_id"] == TASK) + selected = next(r for r in quality["rows"] if r["task"] == TASK) + require(row["_attempt_id"] == selected["attempt"] == ATTEMPT, "Attempt differs") + require(readout["candidate_id"] == quality["candidate"] == "bispf-optimized-quintic-v1", "Recipe differs") + require(readout["candidate_revision"] == quality["candidate_revision"], "Revision differs") + require(quality["source_commit"] == SOURCE and quality["seed"] == row["rng"]["seed"] == 0, "Source/seed differs") + require(row["metrics"] == selected["metrics"] and row["evaluator_result"] == selected["evaluator_summary"], + "Published metrics or stage summaries differ from the original") + require(row["status"] == row["gate_status"] == selected["status"] == "FAIL", "Original verdict differs") + task_path = f"configs/forge/tasks/{TASK}.json" + task_bytes = frozen(task_path) + task = json.loads(task_bytes) + require(json.loads((ROOT / task_path).read_text()) == task, "Live task differs from frozen task") + thresholds = task["evaluation"]["thresholds"] + ev = row["evidence"] + observations = ev["observations"] + expected_steps = [base + math.ceil(i * 1000 / 24) for base in range(1000, 6000, 1000) for i in range(1, 25)] + require([r["step"] for r in observations] == expected_steps, "Observation cadence differs") + require([r["step"] for r in ev["frozen_observations"]] == expected_steps[72:], "Frozen cadence differs") + stages = dict(stationary=phase(observations[:72], thresholds), + reacquisition_window=phase(observations[72:96], thresholds), + shifted_hold=phase(observations[96:], thresholds), + frozen_control=phase(ev["frozen_observations"], thresholds)) + summary = row["evaluator_result"] + require(stages["stationary"]["passing_checks"] == summary["stationary_passes"], "Stationary count differs") + require(stages["shifted_hold"]["passing_checks"] == summary["shift_hold_passes"], "Hold count differs") + require(stages["frozen_control"]["passing_checks"] == summary["frozen_passes"], "Frozen count differs") + require(stages["reacquisition_window"]["passing_suffix"] < 5 and summary["reacquisition_status"] == "FAIL", + "Deadline decision differs") + require(all(failures(r, thresholds) == [] or "cdf_ks <= 0.05" in failures(r, thresholds) + for r in observations), "CDF no longer explains every failed observation") + require(ev["continuity"]["restored_exactly"] and ev["continuity"]["history_reset"] is False, + "Continuation contract differs") + require(ev["guards"]["all_finite"] and ev["guards"]["unintended_rng_deviations"] == 0, "Guard failure") + require(ev["guards"]["optimizer_updates"] == dict(generator=6000, discriminator=6000, prior=6000), + "Update allowance differs") + media = next(m for m in quality["media"] if m["task"] == TASK) + require(sha((ROOT / media["path"]).read_bytes()) == media["sha256"], "Actual-training GIF differs") + require(sha((ROOT / media["receipt"]["path"]).read_bytes()) == media["receipt"]["sha256"], "GIF receipt differs") + source_files = [task_path, "experiments/forge/gaussian_tasks.py", "benchmarks/toy_audit/gaussian1d_quality.py", + "particlegan/recipes.py", "particlegan/bispf.py", "particlegan/optim/dualnorm.py"] + return dict(schema_version=1, scope="retained_observation_analysis", qualification_input=False, + new_training_updates=0, new_sampling_draws=0, recorded_verdict="FAIL", + candidate=readout["candidate_id"], candidate_revision=readout["candidate_revision"], + source_commit=SOURCE, source_digest=quality["source_digest"], protocol_seed=0, + attempt=ATTEMPT, original_readout_sha256=ARCHIVE_SHA, + source_files_sha256={name: sha(frozen(name)) for name in source_files}, + thresholds=thresholds, phases=stages, + final_metrics=row["metrics"], endpoint_failed_bounds=failures(row["metrics"], thresholds), + continuity=ev["continuity"], resolved_recipe=row["recipe"], prior=row["prior"], + prior_policy=ev["prior_policy"], initial_model_hashes={k: v["initial_state_sha256"] + for k, v in row["initialization"].items()}, + data_sha256=ev["data_sha256"], rng_audit_count=len(ev["rng_audits"]), + unintended_rng_deviations=ev["guards"]["unintended_rng_deviations"], + completed_steps=ev["completed_steps"], continuation_updates=5000, + original_wall_seconds=row["cost"]["wall_seconds"], + artifact_manifest=ev["artifact_manifest"], actual_training_media=media, + causal_limit="Observation histories establish failed settling and recovery; unsupplied state/sample files prevent gradient or controller attribution.") + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--readout", type=Path, required=True, help="Byte-exact archived original full readout") + parser.add_argument("--output", type=Path, help="Write compact result; no per-update trace is emitted") + parser.add_argument("--check", action="store_true", help="Compare with committed compact analysis") + args = parser.parse_args() + result = audit(args.readout) + if args.check: + require(result == json.loads((HERE / "analysis.json").read_text()), "Committed analysis is stale") + if args.output: + args.output.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + print(json.dumps(dict(audit="PASS", task=TASK, original_gate="FAIL", new_updates=0, + stationary_passes=result["phases"]["stationary"]["passing_checks"], + reacquisition_passes=result["phases"]["reacquisition_window"]["passing_checks"], + shifted_hold_passes=result["phases"]["shifted_hold"]["passing_checks"])), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/grid100/README.md b/reports/forge/leading-failures-20261022/grid100/README.md new file mode 100644 index 000000000..3430ebbbc --- /dev/null +++ b/reports/forge/leading-failures-20261022/grid100/README.md @@ -0,0 +1,119 @@ +# BISPF investigation: grid100 + +Why does the selected BISPF recipe place only 30.5% of clean holdout samples within three target standard deviations? + +**Original verdict: FAIL, unchanged.** The failure is sustained poor placement/shape and unequal mass. The endpoint is finite, all 7,000 updates ran, all five final accuracy checks fail, and the independent holdout fails every numerical accuracy limit. Its 20k endpoint has undefined conditional shape fields; the larger holdout makes those fields measurable and they still fail. This rules out treating the missing endpoint fields as the whole failure. + +## Exact evidence and gates + +This concerns the selected global recipe **`bispf-optimized-quintic-v1`**, revision +`8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`, attempt `e33da1416b6248d1b514ef8c650cd3f8`, +at source `d9d72d53761c898bce20102e1995fc3d899c1447` / digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +The executed revision-11 policy holds this test; the inventory keeps the older +revision-9 full-suite comparison failure visible. Holding is not a PASS. +The [ordinary quality publication](../../bispf-optimized/quality.json) owns the +reported numerical summary. Older numbers in the problem list and BISPF README +belong to earlier source-bound cohorts and are not this selected run. + +Target: 100 equal-weight isotropic Gaussians on the 10×10 grid at coordinates −4.5,…,4.5, with standard deviation 0.03. G and D are three-hidden-layer width-128 LeakyReLU MLPs; +D adds two axis-aligned Fourier frequencies. The task fixes 20,000 initial learned +MoG centers, latent dimension 2, kernel σ=0.025, uniform masses, no standardization, +batch 2,048, protocol seed 0 and the public deterministic orthogonal initializer. +The recipe learns prior locations with SBNP regularization weight 0.01; it uses +non-saturating GAN loss, DualNorm, base LR 0.012, D multiplier 1.5 and prior multiplier +2.5. Input/output noise and EMA decay are zero. Architecture, prior width/capacity, +public sampling, 7,000-update budget and cadence are not changed by this investigation. + +Clean live sampling must pass coverage (including all 100 modes, precision ≥0.97, +mass TV ≤0.1, per-mode mass/eigenvalue/radius limits), the four stricter accuracy +bounds below, all five final 20k checks at updates 6000/6250/6500/6750/7000, and a +separate 100k holdout. [The audit receipt](audit-result.json) retains the complete +frozen gate declaration. The actual run performs 7,000 D/G/prior updates each; +35 evaluation RNG audits report zero unintended deviations. + +| Independent holdout metric | Observed | Gate | Result | +| --- | ---: | ---: | --- | +| Precision (within 0.09 of a center) | 0.30497 | ≥0.97 | FAIL | +| Mass TV | 0.17028 | ≤0.06 | FAIL | +| Center RMS / target σ | 1.4971303 | ≤0.2 | FAIL | +| Absolute conditional trace bias | 0.32542656 | ≤0.1 | FAIL | +| Radial KS | 0.42394022 | ≤0.04 | FAIL | +| Finite samples | 100,000/100,000 | all | PASS | + +The terminal passing count is **0/5**. Terminal precision ranges from +0.29225 to 0.345; conditional shape is +undefined in 3/5 checks. Undefined conditional metrics +are produced by `hq_counts < 2` for any component in the +[frozen accuracy source](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/toy100/accuracy.py). +Do not infer an exact missing-mode count from that aggregate condition. +The same run's true-target holdout passes: precision 0.98914, +mass TV 0.01226, center RMS 0.041737607σ, +trace bias 0.00027944496, radial KS 0.001514121. + +## What the source does and does not explain + +The holdout center error is 1.49713 target standard deviations, and its conditional covariance-trace bias is positive (+0.32543). This is evidence of both displacement and shape mismatch among samples that already lie inside the quality radius. The aggregate receipt does not separate remote tails, connecting mass and poorly populated modes, and does not establish which training term caused them. + +The [frozen host adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) +and [optimizer dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py) +exclude the quintic optimization as an exercised mechanism here: both host +networks contain only Linear/LeakyReLU/Sequential modules. The quintic delta dispatches +only to eligible CUDA convolution groups (>32 channels); there are **zero** such +groups. Dense and sampled-prior update laws retain native behavior. The frozen +`Recipe.make_loss` selects ordinary non-saturating loss for this receipt; the +presence of a Sinkhorn-relativistic class elsewhere in the API does not make it +the executed generator objective. Sinkhorn remains part of the critic penalty. + +The [frozen penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py) +applies on all 7,000 updates. Its dense-multimode thermal branch +is eligible from update 1000 for batch 2,048, but the advertised late harmonic +capture lock requires real batch ≤512 and cannot run on this task. Eligibility +is a source fact; the actual residual/thermal scale, local critic field and relative +adversarial/SBNP gradients cannot be recovered from aggregate endpoint metrics. +No claim that cooling, SBNP, the critic representation or the smooth generator +caused the observed trajectory is established here. + +The [earlier disposition audit](../../test-dispositions-20261015/README.md#grid100) +records completed failures, longer-budget BISPF plateaus and historically passing +noisy/fixed-particle cohorts. Those budgets and serving/prior contracts remain +separate; neither longer training nor added evaluation noise is an authorized repair +of this selected clean 7k cell. Its [source-bound original training GIF](../../bispf-optimized/quality-media/grid100.gif) +and [media receipt](../../bispf-optimized/quality-media/grid100.json) illustrate the +actual 34 saved observations, with zero new updates or sampling draws. Numerical +metrics above determine the result. The [current inventory](../../technique-inventory.md) +remains the single leaderboard; no second board or qualification change is introduced. + +## Bounded next diagnostic and current blocker + +Test the narrow claim that mode-center displacement alone explains the precision loss. Recover the exact 100k holdout cloud, partition by the frozen nearest-center evaluator, estimate each nonempty component mean, and translate each assigned component to its target center while preserving its residual cloud and mass. This is an evaluator-only counterfactual; target centers never enter a trainer. Reject the claim if recentering still has precision <0.97 or fails any frozen accuracy bound. Keep original, true-target and deliberately translated-target controls, report any undefined component, and report the mass gate separately. Cap the diagnostic at one saved 100k cloud plus its saved target control, 0 optimizer updates and 120 CPU seconds; no GPU reservation. It cannot replace the original sampling law or earn a PASS. + +The byte-exact full readout is available at +`/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`, +SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`; it reproduces the published endpoint, +terminal summary, initialization and stream receipts. The referenced original +`grid100/training-state.pt` and `holdout_samples.npz` are absent at their recorded +paths and were not found in the mounted `ParticleGAN-forge` tree. Their exact +expected hashes, original paths and final named-stream hashes are retained in the +audit receipt. The mounted full readout is not a tensor/checkpoint archive. Recover +and hash-verify the original artifact tree before any saved-state or sample-cloud +probe; absence blocks that analysis and does not authorize replay. No new training, +seed study, continuation, trainer delta, qualification or promotion was performed. + +## Reproduce the zero-training audit + +From this branch's repository root: + +```sh +python reports/forge/leading-failures-20261022/grid100/audit.py \ + --archive /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json +``` + +[audit.py](audit.py) checks the selected row and exact archive digest, extracts source +from the pinned Git commit, executes only its scalar accuracy predicate on existing +measurements, checks dense-only dispatch/thermal eligibility, verifies the training +GIF and compares the compact [audit result](audit-result.json). It imports no trainer, +loads no tensor pickle and performs zero optimizer updates or sampling draws. +The audit's PASS means evidence consistency; the scientific test remains FAIL. +Raw execution output belongs in local `runs/forge/leading-failures-20261022/grid100/audit.log` +for easy `tail -f`; it is not committed. Missing exact Git objects or archive bytes +fail explicitly. No new toy test or synthetic training footage is introduced. diff --git a/reports/forge/leading-failures-20261022/grid100/audit-result.json b/reports/forge/leading-failures-20261022/grid100/audit-result.json new file mode 100644 index 000000000..d048997d3 --- /dev/null +++ b/reports/forge/leading-failures-20261022/grid100/audit-result.json @@ -0,0 +1,289 @@ +{ + "accuracy_limit_ratios": { + "abs_cov_trace_bias": 3.254265581521434, + "center_rms_sigma": 7.485651369690226, + "mass_tv": 2.8380000000000005, + "radial_ks": 10.598505574191021 + }, + "actual_training_gif": { + "observations": 34, + "path": "reports/forge/bispf-optimized/quality-media/grid100.gif", + "sha256": "1048d261931c27c3526703327e8079f37ae193e957e4b2ddd595722642f644f1", + "source_attempt": "e33da1416b6248d1b514ef8c650cd3f8" + }, + "attempt_id": "e33da1416b6248d1b514ef8c650cd3f8", + "audit_status": "PASS", + "candidate_id": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "checkpoint_receipt": { + "path": "grid100/training-state.pt", + "sha256": "8dc9bcc8ec39a10c50899b7dce1a055aa41187498869b6cdbb6ba184fd0281db", + "state_sha256": "b53b967160a69b6db88999ea8e217327f3cd5be670ca1189541a37b7c9eb0e63" + }, + "frozen_source_sha256": { + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/problems.py": "2581374d451ed9147c031dfcdfbe9e2eea83e41ba49c2b8945b6e729ede26c9d", + "configs/forge/tasks/grid100.json": "659d1018b4634af5a8f132461c54a70acddc2c062682f1223cb20198a6885757", + "experiments/forge/adapters.py": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3", + "experiments/forge/api.py": "efb8b114f3a967a2e54daa6d4f831debeb06861d5ccefd89a19615cf618305b3", + "lib/toy_models.py": 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"host_mechanisms": { + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": 7000, + "dense_multimode_endpoint_eligible": true, + "eligible_convolution_groups": 0, + "harmonic_capture_endpoint_eligible": false, + "module_constructors": { + "SimpleMLPDiscriminator": [ + "LeakyReLU", + "Linear", + "Sequential" + ], + "SimpleMLPGenerator": [ + "LeakyReLU", + "Linear", + "Sequential" + ] + }, + "quintic_delta_exercised": false, + "selected_objective": "non_saturating" + }, + "initial_model_sha256": { + "discriminator": "de6b6583b0bb8fc3ddd7b0211be2d2744074dceef120ecba24618cd7a291fa01", + "generator": "07229cdb3ae86f0746c5de25bd61b4637020c104fbf6180c141220491a85f247", + "prior": "41246d315685e3e3405fe86d0ef74655a7aceed12d6a4a4d291501321e12ba6f" + }, + "input_sha256": { + "media_receipt": "807887804aa50d5d497c67e4141c15a994a8d08b2060beb760e2efa94dc6a0be", + "original_readout": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe", + "quality.json": 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"c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "238f7e13e199cd1c68980b934f7383da49ea0ca670f7b732408a006580edc5dc", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "826b7485f709fa1b4d3226d348037d838bed099d8d694a2eb3642fbe58b531f7" + }, + "optimizer_updates_added": 0, + "oracle_metrics": { + "abs_cov_trace_bias": 0.0002794449587595338, + "accuracy_pass": true, + "accuracy_score": 0.11341721050570538, + "all_finite": true, + 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"protocol": { + "evaluation": { + "accuracy_limits": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "coverage_evaluator": "benchmarks.toy100.gate:evaluate_suite", + "coverage_thresholds": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + }, + "early_eval_steps": [ + 0, + 1, + 10, + 25, + 50, + 100 + ], + "eval_interval": 250, + "eval_output_noise": "clean", + "eval_samples": 20000, + "evaluator": "benchmarks.toy100.accuracy_gate:evaluate_suite", + "evaluator_revision": { + "added_source_members": [ + "benchmarks/toy100/train.py", + "benchmarks/toy100/__main__.py", + "benchmarks/toy100/device.py", + "benchmarks/toy100/affine_replay.py", + "benchmarks/toy_suite.py" + ], + "change": "Bind device-correct legacy fixtures and experiment RNG preservation plus recorded-device/initializer affine replay and receipt validation. No EMA-idle hooks are adopted. Architecture, target/data/prior/serving laws, optimizer policy, budgets, cadence and numerical gates are unchanged. Archived declarations and source-bound results retain their original identities.", + "id": "pr399-host-device-replay-source-only-v1", + "previous_revision": { + "change": "Validate explicit CLI evaluation-noise overrides; metric kernels, thresholds, clean sampling law and budgets unchanged.", + "id": "native100-manifest-sampling-v2", + "previous_gate_sha256": "55f6ef733f0b10f4c6ac05eb5ad9d30320d807ff520ea1b41c75d2d0b41e406a" + }, + "previous_source_sha256": { + "benchmarks/toy100/gate.py": "2ddadf56a4ccd7645c8b4e391373818b1113fb6113a9c691310fb162684058e6" + } + }, + "holdout_samples": 100000, + "kind": "native_accuracy", + "minimum_stable_checks": 5, + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise", + "scoring_weights": "live", + "sources": { + "benchmarks/toy100/__main__.py": "50b9d164a7aae10f8dc20684dbc7be86e5f19152d989ad1247d2a5b9335545ce", + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/affine_replay.py": "6850a45ad099018aaf12126b998907e6eea0471de0a28b73a74eb5cac229b6c8", + "benchmarks/toy100/device.py": "7fa0f53db44e8824d3497b471e9fe8db56cbf8b4e02ddf997f65beed63f81911", + "benchmarks/toy100/gate.py": "561717e0a6c981b20efdf4a1d41e2cf9cace0c8c619546c4bf7f52748e09fbc3", + "benchmarks/toy100/metrics.py": "a7fbef19082f8470eb392948da52a336a90a3e99c6b3b893343a9e75bcda9c7b", + "benchmarks/toy100/train.py": "d58a9a9862fbbdf31a53302fcee5d986ea4b10b5c337d901dbe51af2ca5ee649", + "benchmarks/toy_suite.py": "8ce629b52ed6c7a52d41e2a4d632dc296168290f4a26949c7e705c2207a2beaf" + } + }, + "initial_prior": { + "kind": "mog", + "sigma": 0.025, + "standardize": false + }, + "initializer": "deterministic_orthogonal", + "model": { + "fourier": 2, + "hidden": 128, + "layers": 3 + }, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "resources": { + "batch_size": 2048, + "num_particles": 20000, + "z_dim": 2 + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise" + }, + "seed": 0, + "updates": 7000 + }, + "qualification_input": false, + "qualification_reuse": false, + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "rng_audits": { + "checks": 35, + "unintended_deviations": 0 + }, + "sampling_draws_added": 0, + "saved_state_probe": "BLOCKED", + "schema": "bispf_native_failure_audit_v1", + "scientific_status": "FAIL", + "source_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "task_id": "grid100", + "terminal_summary": { + "mass_tv_range": [ + 0.16805, + 0.179 + ], + "passing": 0, + "precision_range": [ + 0.29225, + 0.345 + ], + "steps": [ + 6000, + 6250, + 6500, + 6750, + 7000 + ], + "total": 5, + "undefined_shape_checks": 3 + } +} diff --git a/reports/forge/leading-failures-20261022/grid100/audit.py b/reports/forge/leading-failures-20261022/grid100/audit.py new file mode 100644 index 000000000..ba887f204 --- /dev/null +++ b/reports/forge/leading-failures-20261022/grid100/audit.py @@ -0,0 +1,209 @@ +"""Audit one frozen BISPF failure with zero optimizer updates or sampling draws.""" +from __future__ import annotations + +import argparse +import ast +import hashlib +import json +import math +from pathlib import Path +import subprocess +from typing import Any, Mapping + +TASK = "grid100" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +ARCHIVE_SHA = "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" +DEFAULT_ARCHIVE = Path("/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json") +HERE = Path(__file__).resolve().parent +ROOT = HERE.parents[3] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def read(path): + return json.loads(path.read_text()) + + +def source(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def audit(archive): + original_bytes = archive.read_bytes() + assert sha(original_bytes) == ARCHIVE_SHA, "original readout digest differs" + original = json.loads(original_bytes) + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = read(quality_path) + assert quality["raw_readout_archive"]["sha256"] == ARCHIVE_SHA + row = next(r for r in quality["rows"] if r["task"] == TASK) + raw = next(r for r in original["task_results"] if r["task_id"] == TASK) + summary = next(r for r in quality["attempt_summaries"] if r["attempt_id"] == row["attempt"]) + assert raw["_attempt_id"] == row["attempt"] + assert raw["metrics"] == row["metrics"] + assert summary["provenance"]["source_origin_commit"] == SOURCE + selected = next(r for r in read(ROOT / "reports/forge/technique-inventory.json")["rows"] + if r["trainer_family"] == "bispf") + assert selected["candidate_id"] == quality["candidate"] == "bispf-optimized-quintic-v1" + assert selected["candidate_revision"] == quality["candidate_revision"] + assert next(r for r in selected["tasks"] if r["task_id"] == TASK)["status"] == "FAIL" + paths = [f"configs/forge/tasks/{TASK}.json", "lib/toy_models.py", + "experiments/forge/adapters.py", "experiments/forge/api.py", + "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/bispf.py", "benchmarks/toy100/accuracy.py", + "benchmarks/toy100/accuracy_gate.py", "benchmarks/toy100/problems.py"] + sources = {path: source(path) for path in paths} + task = json.loads(sources[paths[0]]) + assert task["execution"]["model"] == {"hidden": 128, "layers": 3, "fourier": 2} + assert task["execution"]["resources"] == {"batch_size": 2048, "num_particles": 20000, "z_dim": 2} + assert raw["initial_prior"] == task["execution"]["prior"] + assert raw["initializer"] == task["execution"]["initializer"] == "deterministic_orthogonal" + assert raw["recipe"]["prior_regularizer"] == "sbnp" + assert raw["evidence"]["prior_policy"]["update"] == "learned" + assert raw["recipe"]["loss"] == "non_saturating" + assert raw["recipe"]["output_noise_std"] == raw["recipe"]["ema_decay"] == 0.0 + assert raw["cost"]["completed_steps"] == task["execution"]["steps"] == 7000 + assert row["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + + # Execute the exact frozen scalar accuracy predicate, without importing a + # trainer or drawing new samples. Coverage still belongs to its original grade. + accuracy_tree = ast.parse(sources["benchmarks/toy100/accuracy.py"]) + predicate = next(n for n in accuracy_tree.body if isinstance(n, ast.FunctionDef) + and n.name == "passes_accuracy") + namespace = {"math": math, "Mapping": Mapping, "Any": Any, "EVAL_N": 20000, + "LIMITS": task["evaluation"]["accuracy_limits"]} + exec(compile(ast.Module(body=[predicate], type_ignores=[]), "frozen_accuracy.py", "exec"), namespace) + passes_accuracy = namespace["passes_accuracy"] + result = raw["evaluator_result"] + terminal = result["terminal_checks"] + assert [t["step"] for t in terminal] == [6000, 6250, 6500, 6750, 7000] + assert not any(passes_accuracy(t["metrics"]) for t in terminal) + assert not passes_accuracy(result["holdout_metrics"]) + assert passes_accuracy(result["oracle_metrics"]) + assert result["oracle_metrics"]["passed"] is True + assert result["coverage_status"] == result["status"] == row["status"] == "FAIL" + for check in terminal: + assert check["passed"] == (check["metrics"]["frozen_pass"] and passes_accuracy(check["metrics"])) + for key, value in row["metrics"].items(): + assert value == result["holdout_metrics"][key] + + # Inspect the exact host classes and optimizer dispatch. No weights or + # synthetic optimizer updates are constructed as a substitute for training. + model_tree = ast.parse(sources["lib/toy_models.py"]) + constructors = {} + for name in ("SimpleMLPGenerator", "SimpleMLPDiscriminator"): + cls = next(n for n in model_tree.body if isinstance(n, ast.ClassDef) and n.name == name) + init = next(n for n in cls.body if isinstance(n, ast.FunctionDef) and n.name == "__init__") + constructors[name] = sorted({n.func.attr for n in ast.walk(init) if isinstance(n, ast.Call) + and isinstance(n.func, ast.Attribute) and isinstance(n.func.value, ast.Name) + and n.func.value.id == "nn"}) + assert not any("Conv" in kind for kind in constructors[name]) + optimizer_text = sources["particlegan/optim/dualnorm.py"].decode() + assert 'torch.nn.Conv2d, torch.nn.ConvTranspose2d' in optimizer_text + assert 'elif parameter.ndim == 2:' in optimizer_text + recipe_text = sources["particlegan/recipes.py"].decode() + assert 'self.effective_critic_formulation == "bispf" and self.loss == "relativistic"' in recipe_text + + # Evaluate frozen branch eligibility at the endpoint. Residual-dependent + # branch outputs are unknown without the actual checkpoint and inputs. + bispf_tree = ast.parse(sources["particlegan/bispf.py"]) + kernel = next(n for n in bispf_tree.body if isinstance(n, ast.ClassDef) and n.name == "_BISPFPenaltyKernel") + penalty = next(n for n in kernel.body if isinstance(n, ast.FunctionDef) and n.name == "penalty") + env = {"is_discrete_simplex": False, "is_image_tensor": False, + "b_r": 2048, "b_f": 2048, "dim": 2, "call_idx": 7000} + for name in ("is_continuous_flow", "is_dense_multimode"): + node = next(n for n in penalty.body if isinstance(n, ast.Assign) + and any(isinstance(t, ast.Name) and t.id == name for t in n.targets)) + env[name] = eval(compile(ast.Expression(node.value), "frozen_branch.py", "eval"), {}, env) + capture = next(n for n in penalty.body if isinstance(n, ast.If) + and "call_idx >= 1650" in ast.unparse(n.test)) + harmonic_eligible = eval(compile(ast.Expression(capture.test), "frozen_branch.py", "eval"), {}, env) + assert env["is_dense_multimode"] is True and harmonic_eligible is False + + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = read(media_path) + gif_path = media_path.with_suffix(".gif") + assert sha(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + guards = raw["evidence"]["guards"] + assert guards["all_finite"] is True and guards["unintended_rng_deviations"] == 0 + assert guards["optimizer_updates"] == {"discriminator": 7000, "generator": 7000, "prior": 7000} + assert len(raw["evidence"]["rng_audits"]) == 35 + assert sum(a["unintended_rng_deviations"] for a in raw["evidence"]["rng_audits"]) == 0 + checkpoint = raw["evidence"]["checkpoint"] + artifact_root = Path(raw["evidence"]["artifact_root"]) + original_paths = {"checkpoint": artifact_root / checkpoint["path"], + "holdout_samples": artifact_root / TASK / "holdout_samples.npz"} + availability = {} + manifest = raw["evidence"]["artifact_manifest"]["files"] + for name, path in original_paths.items(): + relative = str(path.relative_to(artifact_root)) + expected = manifest[relative]["sha256"] + present = path.is_file() + if present: + assert sha(path.read_bytes()) == expected, f"{name} digest differs" + availability[name] = {"original_path": str(path), "sha256": expected, + "status": "AVAILABLE" if present else "MISSING"} + limits = task["evaluation"]["accuracy_limits"] + holdout = result["holdout_metrics"] + return { + "schema": "bispf_native_failure_audit_v1", "task_id": TASK, "audit_status": "PASS", + "scientific_status": "FAIL", "qualification_input": False, "qualification_reuse": False, + "optimizer_updates_added": 0, "sampling_draws_added": 0, + "candidate_id": quality["candidate"], "candidate_revision": quality["candidate_revision"], + "source_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "attempt_id": row["attempt"], + "input_sha256": {"quality.json": sha(quality_path.read_bytes()), "original_readout": ARCHIVE_SHA, + "media_receipt": sha(media_path.read_bytes())}, + "frozen_source_sha256": {path: sha(data) for path, data in sources.items()}, + "original_receipt_provenance": summary["provenance"], + "protocol": {"seed": 0, "initializer": raw["initializer"], + "model": task["execution"]["model"], "resources": task["execution"]["resources"], + "initial_prior": raw["initial_prior"], "prior_update": "learned", + "prior_regularizer": "sbnp", "prior_reg": raw["recipe"]["prior_reg"], + "sampling": row["sampling"], "updates": 7000, + "evaluation": task["evaluation"]}, + "initial_model_sha256": {k: v["initial_state_sha256"] for k, v in raw["initialization"].items()}, + "named_stream_final_sha256": raw["evidence"]["provenance_checkpoint"]["named_stream_state_sha256"], + "rng_audits": {"checks": 35, "unintended_deviations": 0}, + "terminal_summary": {"steps": [t["step"] for t in terminal], "passing": 0, "total": 5, + "precision_range": [min(t["metrics"]["precision"] for t in terminal), max(t["metrics"]["precision"] for t in terminal)], + "mass_tv_range": [min(t["metrics"]["mass_tv"] for t in terminal), max(t["metrics"]["mass_tv"] for t in terminal)], + "undefined_shape_checks": sum(t["metrics"]["center_rms_sigma"] is None for t in terminal)}, + "holdout_metrics": holdout, "oracle_metrics": result["oracle_metrics"], + "accuracy_limit_ratios": {key: holdout[key] / value if holdout[key] is not None else None + for key, value in limits.items()}, + "precision_shortfall": task["evaluation"]["coverage_thresholds"]["min_precision"] - holdout["precision"], + "host_mechanisms": {"module_constructors": constructors, "eligible_convolution_groups": 0, + "quintic_delta_exercised": False, "selected_objective": "non_saturating", + "dense_multimode_endpoint_eligible": env["is_dense_multimode"], + "harmonic_capture_endpoint_eligible": harmonic_eligible, + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": guards["mechanism_audit"]["mechanisms"]["critic_penalty"]["applied"]}, + "checkpoint_receipt": checkpoint, "original_artifacts": availability, + "saved_state_probe": "BLOCKED" if not all(p.is_file() for p in original_paths.values()) else "NOT_EXECUTED", + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"], + "source_attempt": row["attempt"], "observations": media["observation_count"]}, + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=DEFAULT_ARCHIVE) + parser.add_argument("--write", action="store_true") + args = parser.parse_args() + result = audit(args.archive) + destination = HERE / "audit-result.json" + if args.write: + destination.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + else: + assert read(destination) == result, "committed audit differs; inspect source and evidence before rewriting" + print(json.dumps({"task": TASK, "audit": result["audit_status"], "scientific_status": "FAIL", + "passing_terminal_checks": "0/5", "saved_state_probe": result["saved_state_probe"], + "updates_added": 0, "samples_added": 0}, sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/img_bars4/README.md b/reports/forge/leading-failures-20261022/img_bars4/README.md new file mode 100644 index 000000000..1d8ccdb9c --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_bars4/README.md @@ -0,0 +1,73 @@ +# BISPF investigation: Four bars: persistent population shortfall + +BISPF produces 31/32 clean images, but only two bars receive the four clean particles required per mode. The missing modes were never acquired at any of the 24 recorded checks. This is an investigation of the selected global recipe `bispf-optimized-quintic-v1`, not a new training comparison. The original **FAIL** is retained. The [current technique inventory](../../technique-inventory.md) remains the only goal leaderboard. + +## Frozen evidence and protocol + +- Candidate revision: `8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`; attempt `048820009b3b44108cad4bc5fee0854b`. +- Executed commit: `d9d72d53761c898bce20102e1995fc3d899c1447`; scientific digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +- Canonical original result hash: `9345c8134863f8d830e7ca918e01ecb3d1e5a26b705a32a9683de7d942023b44`. [Published compact receipt](../../technique-receipts/048820009b3b44108cad4bc5fee0854b.json) is a display/provenance summary, not a replacement qualification envelope. +- Original full readout: SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`, 4,926,714 bytes, retained at `/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`. The [published archive pointer](../../bispf-optimized/quality.json) retains its original `/home/martyn/dev/...` identity. The audit verifies the exact bytes at the mounted location. +- Task contract: `e2a26e57ac94a7473db2b367d00df492ff027e4036ef946f5c5e2dc37fd65296`. [Current task declaration](../../../../configs/forge/tasks/img_bars4.json) matches the recorded host/measurement contract used here. +- **Seed 0**, public `deterministic_orthogonal_named_parameters_v1` initialization, width-12 transposed-convolution generator (5,173 parameters), critic (2,833 parameters), 8-D latent, 32 learned uniform particle-cloud rows, sigma 0, no standardization. This task's explicit cloud exception applies; the inventory's generic MoG binding is not the image task prior. +- Uniform noisy-template target law: 8×8 grayscale templates with clipped Gaussian pixel noise std 0.01 during training. Evaluation enumerates all 32 learned rows, clean/live weights, no output noise, exactly 24 checks at updates 25,50,…,600. +- 600 updates each for G, D and prior; finite outputs, penalty applied 600 times, zero unintended RNG deviations. Constructor/data/prior/noise/evaluation streams have recorded initial bindings and terminal state hashes in the original receipt. The [audit result](audit-result.json) preserves initial model hashes and named-stream checkpoint hashes. +- Actual recipe: non-saturating GAN loss; BISPF critic penalty; full DualNorm, smoothing 0.001, momentum 0, quintic convolution rule; G lr 0.012, D multiplier 1.5, prior multiplier 2.5; learned prior with SBNP regularizer weight 0.01; no EMA scoring or added output noise. The task's old lr 0.0017, prior weight 0.05 and EMA 0.99 fields are inactive historical provenance, not active training settings. Exact resolved recipe is retained in [audit-result.json](audit-result.json). + +## Numerical finding + +The unchanged gate requires four modes, each with at least 4/32 clean images; at least 29/32 clean images overall; five consecutive terminal passing observations. Quality uses nearest-template **whole-image RMSE ≤ 0.10**. Count order: vertical bar at column 1, vertical bar at column 5, horizontal bar at row 1, horizontal bar at row 5. + +| Metric | Selected endpoint | Bound | Original result | +| --- | ---: | ---: | --- | +| Qualifying modes | 2 | ≥ 4 | FAIL | +| Clean images | 31/32 (0.96875) | ≥ 29/32 | PASS | +| Terminal passing checks | 0 | ≥ 5 | FAIL | +| Distribution TV (diagnostic) | 0.40625 | no task gate | diagnostic | +| Mean RMSE (diagnostic) | 0.012657694 | no mean-RMSE gate | diagnostic | + +The endpoint nearest-template counts are **[7, 21, 2, 2]**, while clean counts are **[7, 21, 2, 1]**. Both horizontal bars have positive mass; “only two bars exist” would overstate the evidence. They are below the mode population threshold. Sharpening the one dirty image alone cannot produce a pass: even all nearest assignments made clean would still leave two modes below four. At least four particle assignments must change to bring both deficient nearest populations to four. + +The second vertical bar first clears its clean population threshold at update 300. The first vertical bar clears it at 375. Both horizontal populations remain below four through update 600. The overall quality bound first passes at 500, and stays above it at the five terminal checks, while coverage never passes. This separates an endpoint population problem from merely missing the sustained suffix after a late full acquisition. The observations are 25 updates apart; transient unrecorded acquisition cannot be excluded. + +**Historical distinction.** The earlier BISPF narrative in `problems.md`, the October 15 dispositions and the original BISPF readout says HQ 1.0. This selected quintic source instead records 0.96875. Both retain FAIL; the archived historical values are left unchanged. + +## Mechanism examination + +Examination is bound to the **executed commit**, not newer `develop` code. File hashes are recorded in [audit-result.json](audit-result.json). + +1. [Frozen API image adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) trains through public `GANTrainer`, draws the noisy target batch once per update, and scores clean enumeration with `fixed_first_n=True`. This is exact finite-prior measurement, not 32 independent Monte Carlo samples. Missing modes here are not evaluation sampling noise. +2. [Frozen recipe loss dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py#L673) only selects `SinkhornRelativisticLoss` when the recipe loss is `relativistic`. The actual recipe says `non_saturating`, so its [adversarial objective](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/gan_loss.py) is ordinary non-saturating loss. Sinkhorn still enters penalty residual/data-scale calculations. The family name does not imply that a balanced coupling supervises output mode populations in this run. +3. [Frozen BISPF penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L1136) classifies N×1×8×8 as image tensors: default transport chords are bypassed and thermal scale is fixed to 1. The low-dimensional late harmonic-freeze branch does not apply to this image task. Image-specific endpoint penalty scaling and logit gauge remain active. Therefore a causal story based on image thermal freezing or a chord-bridge force is unsupported. +4. [Frozen SBNP](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L173) acts on latent rows and initial moments, with `min_dof=2*k_nn+d`; 32 rows in 8 dimensions exceed its 18-row cutoff for k=5. It does not test image identity or counts. The [shared trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py) adds its recipe-owned 0.01 contribution to generator/prior training. Output many-to-one mappings are not excluded by latent repulsion. +5. [Frozen optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py#L548) applies the quintic accelerator only above 32 channels. These host convolutions have at most 24 channels and retain the native small-kernel path. The failure is not evidence against the polynomial's exercised wide-channel path; the complete source/recipe remains its own numerical cohort. + +A candidate explanation is that the public generator maps several separated latent rows to the same already-good bar, leaving too little useful generator/critic signal toward the two underpopulated bars. Endpoint counts establish the allocation failure; they do not separate critic direction, generator Jacobian, latent-prior movement or finite-budget acquisition. Latent repulsion is not an output-mode population guarantee. + +## Existing attempts and controls + +The [original BISPF report](../../bispf/README.md) records a separate older endpoint with the same two-mode failure. The [optimized readout](../../bispf-optimized/README.md) records that the width-64 quintic bars diagnostic passes all four modes and nine terminal checks. Width 64 changes the task architecture; it demonstrates a separate positive, not a width-12 repair or proof that width-12 cannot represent the target. R1/R2 and GAN v3 pass this task in separate recipes but regress counted controls; the [disposition](../../test-dispositions-20261015/README.md#img_bars4) preserves that conflict. Frobenius optimization also fails the separate wide diagnostic, so another normalization substitution is not already justified. + +Actual-training illustration for **this same attempt and saved output tensor**: [GIF](../../bispf-optimized/quality-media/img_bars4.gif), [source/media receipt](../../bispf-optimized/quality-media/img_bars4.json). The audit verifies the GIF hash and original `observed-images.pt` hash binding. No footage is invented, no images are regenerated, and no training is added. Metrics above determine the conclusion. + +## Bounded next diagnostic and recommendation + +First recover the exact saved `observed-images.pt` identified in the audit and media receipt. With **zero training updates**, examine all 32 images at the five terminal checks (160 rows total): report clean/nearest populations, per-row nearest-label transitions and RMSE margins to each missing bar. This is an observation diagnostic, not a new toy training test. Predict a shortage of at least two nearest assignments in each horizontal mode at the endpoint. Falsifier: exact pixels fail to reproduce [7,21,2,2] and clean [7,21,2,1]; stop and repair evidence linkage before any trainer experiment. + +To distinguish causes afterward, recover a complete compatible trained public `GANTrainer` state, then measure output-space critic correction and generator/prior Jacobian sensitivity toward the missing modes without optimizer steps. The available provenance checkpoint is explicitly `purpose=provenance_only`, `prerequisite_eligible=false`; it does not authorize a continuation. If complete trained state is unavailable, record that blocker. Do not rebuild it by rerunning the unchanged experiment. Any future causal training change needs a registered study, numerical predictions and budget, one global recipe, plus unchanged `img_stripes2` and counted-task controls. + +Keep the selected global BISPF recipe and its failures visible. This PR changes no recipe, gates, qualification, held status, view, leaderboard or default. It adds no paid training, continuation or seed experiment. Pixel/gradient causes remain open until the exact required artifacts are recovered. + +## Reproduce this investigation + +From the repository root, with the archived full readout available: + +```sh +python reports/forge/leading-failures-20261022/img_bars4/audit.py \ + --readout /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json \ + --output /tmp/img_bars4-audit-result.json +``` + +The script is standard-library-only and executes **zero** trainer steps, forwards or random draws. It verifies original archive bytes, selected leader and task identity, all 24 aggregate count/HQ/mode/TV calculations, original sustained result, budget/finite/RNG guards, endpoint projection, frozen source hashes, and actual-training media binding. It exits nonzero for a changed input. It does not regrade qualification or recompute missing image pixels. [Compact result](audit-result.json) retains selected milestones rather than copying bulk logs/per-update streams. + +Validation: exact archived-observation audit **PASS**, original scientific **FAIL** unchanged; byte-corruption negative control rejects the altered archive; local report links and `git diff --check` pass. Console audit output can be redirected to any local `.log` and tailed; raw logs stay under `/mnt/ml7tb/ParticleGAN-forge/leading-failures-20261022/image-audits/`. diff --git a/reports/forge/leading-failures-20261022/img_bars4/audit-result.json b/reports/forge/leading-failures-20261022/img_bars4/audit-result.json new file mode 100644 index 000000000..a7e798f1f --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_bars4/audit-result.json @@ -0,0 +1,548 @@ +{ + "audit_status": "PASS", + "candidate": { + "attempt_id": "048820009b3b44108cad4bc5fee0854b", + "canonical_result_hash": "9345c8134863f8d830e7ca918e01ecb3d1e5a26b705a32a9683de7d942023b44", + "executed_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "id": "bispf-optimized-quintic-v1", + "revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213" + }, + "checks": { + "final_assigned_counts": [ + 7, + 21, + 2, + 2 + ], + "final_clean_counts": [ + 7, + 21, + 2, + 1 + ], + "first_all_modes_step": null, + "maximum_clean_total": 31, + "maximum_modes": 2, + "minimum_clean_per_mode": 4, + "minimum_total_clean": 29, + "observations_checked": 24, + "passing_observations": 0, + "passing_suffix": 0, + "required_suffix": 5 + }, + "effective_recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 32, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.6, + "lr_control": "mobility", + "lr_floor": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 32, + "observation_sigma": 0.03, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "particles", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 600, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 8 + }, + "execution_guards": { + "all_finite": true, + "hooks_exercised": true, + "mechanism_audit": { + "mechanisms": { + "a2": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_anchor": { + "applied": 0, + "calls": 600, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_guard": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_penalty": { + "applied": 600, + "calls": 600, + "eligible": 600, + "enabled": true, + "reason": "actual host mechanism branch applied", + "requested": true + }, + "direct_particle_gain": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + } + }, + "schema_version": 1 + }, + "optimizer_updates": { + "discriminator": 600, + "generator": 600, + "prior": 600 + }, + "unintended_rng_deviations": 0 + }, + "initialization": { + "discriminator": { + "initial_state_sha256": "59630d01d268fc23cfda55ff5453c8d8c5aeba2e9fdac0f870abcbee76c173ce", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "network.0.bias": 6557316557419445744, + "network.0.weight": 7598941872679323370, + "network.2.bias": 2464826872297182044, + "network.2.weight": 7227191838683133986, + 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"323d8aa30703cb97a404a90e2418b3047084953d9da922608cc5202b3a41e6b5", + "sha256": "e71235a8c660ce7fc09bf007bcc401b8c18d57d8a443fdb73f80560e598eadbe" + }, + "compact_receipt": { + "path": "reports/forge/technique-receipts/048820009b3b44108cad4bc5fee0854b.json", + "sha256": "1af51f5999f21eb6c0aa89eef4694d730eb045526a63812c57f8fd984d94b7d8" + }, + "frozen_source_files": { + "benchmarks/transfer_suite/image_tasks.py": "4f070d0879cbaaaa076f82b4683cfe74ea9ed8d85480d1922e249444a752ce58", + "experiments/forge/adapters.py": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3", + "particlegan/bispf.py": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58", + "particlegan/optim/dualnorm.py": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9", + "particlegan/recipes.py": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621", + "particlegan/training.py": "f84bf044405a1ea105350a260bfc903bade9b8d464ad80eb005b0e4a307a6c2b" + }, + "task_declaration": { + "path": "configs/forge/tasks/img_bars4.json", + "sha256": "4786360fc4e66be0bbd1bdee42b3fcb924555d2bd0ee2a8d9198a72a5ba909e1" + } + }, + "limits": [ + "Counts derived from original API metric fractions, not newly evaluated pixels.", + "No full original envelope regrade, training or qualification update.", + "Saved image tensor and trained G/D checkpoints were not located; source hashes and receipts do not supply gradient evidence.", + "Milestones describe observations every 25 updates; intermediate acquisition/loss is unknown." + ], + "metrics": { + "distribution_tv": 0.40625, + "hq": 0.96875, + "mean_rmse": 0.012657693587243557, + "mode_fractions": [ + 0.21875, + 0.65625, + 0.0625, + 0.0625 + ], + "modes": 2, + "quality_mode_fractions": [ + 0.21875, + 0.65625, + 0.0625, + 0.03125 + ], + "step": 600 + }, + "original_gate": "FAIL", + "original_readout": { + "bytes": 4926714, + "inspected_path": 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2, + "passed": false, + "step": 550 + }, + { + "assigned": [ + 7, + 21, + 2, + 2 + ], + "clean": [ + 7, + 21, + 2, + 1 + ], + "clean_total": 31, + "modes": 2, + "passed": false, + "step": 575 + }, + { + "assigned": [ + 7, + 21, + 2, + 2 + ], + "clean": [ + 7, + 21, + 2, + 1 + ], + "clean_total": 31, + "modes": 2, + "passed": false, + "step": 600 + } + ], + "streams": { + "checkpoint_sha256": "89f951acee306413596c99253ea1101782f2bddb7536411dbabb6e22a70fc97b", + "checkpoint_stream_state_sha256": { + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "b86eba7d4012a66f33e4d708c747089226a5161c698e3289dce5a32a30d83947", + "[\"eval\",\"live\",\"enumerated_samples\",\"cuda:0\"]": "0614a849d36daec7e44214f00063111587d655d573be162a0fe3f99ecd96f181", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "b185e30c7dce6ecef279e98d0b6cad82b152c6ae33a27c1e123445ad4839cfe5", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "4f366a1a9494c3efb116658e77877530233073ce743bf79b43d3c6ed8001daa3", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "941f0e41e945d71c69af5992ebb0585b2c785ce8e85ffda7f8355950d8b4ba6c", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a32f36a210008f43c0b6994fe98a43dbb59ee66c51f44103e1d686461e086c77" + }, + "seed": 0, + "unintended_deviations": 0, + "version": "forge-rng-v1" + }, + "task_contract": { + "contract": { + "adapter": "transfer_image", + "evaluation_sha256": "3577d52170ab9a83b176e540cab0453ee5a9e2d328d82357a2b6e2cb8e7d1f98", + "execution_sha256": "4b5aad1ee6e0f0c48f04ed7f8e4dcdcc7e8793a2e23af8c51e4b6c2f4fa02935", + "host": "img_bars4", + "host_adaptation": { + "contract": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "delegated_reference_values": {}, + "host_definition": { + "adam_betas": [ + 0.0, + 0.99 + ], + "architecture": "transpose", + "batch_size": 32, + "ema_decay": 0.99, + "family": "image_conv_transpose", + "gradient_penalty": "b_cap", + "kappa": 1.25, + "lr_d": 0.0017, + "lr_g": 0.0017, + "modes": 4, + "noise_std": 0.01, + "particles": 32, + "pattern": "bars4", + "penalty_coeff": 3.0, + "prior_weight": 0.05, + "split": "development", + "steps": 600, + "width": 12, + "z_dim": 8 + }, + "note": "Task adaptation never delegates prior policy or regularization under recipe_owned_v1.", + "owner": "frozen task resources and original host objectives", + "schema_version": 1, + "task_id": "img_bars4" + }, + "host_definition_sha256": "e993a220408447c1964e08f7d6108cbbd065e03aeae5323270c92ac6fbee2ece", + "host_profiles": {}, + "initialization": null, + "prior": { + "exception_reason": "Frozen image evaluation enumerates finite learned centers; stochastic MoG sampling requires separately calibrated measurement.", + "kind": "particle_cloud", + "sigma": 0.0, + "standardize": false + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "enumerated_prior_without_output_noise", + "scoring_weights": "live" + }, + "steps": 600, + "timeout_seconds": 1800 + }, + "sha256": "e2a26e57ac94a7473db2b367d00df492ff027e4036ef946f5c5e2dc37fd65296" + }, + "task_id": "img_bars4", + "training_updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/img_bars4/audit.py b/reports/forge/leading-failures-20261022/img_bars4/audit.py new file mode 100644 index 000000000..5ef66d9ee --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_bars4/audit.py @@ -0,0 +1,131 @@ +"""Verify archived public-API observations; no construction, sampling or training. + +Run from any checkout: python PATH/audit.py --readout ORIGINAL --output result.json +The required original hash is taken from the committed quality archive receipt. +This script checks aggregate consistency, not qualification or pixel reconstruction. +""" +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "img_bars4" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +REVISION = "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def" +ROOT = Path(__file__).resolve().parents[4] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def load(path): + return json.loads(path.read_bytes()) + + +def require(ok, message): + if not ok: + raise ValueError(message) + + +def audit(path): + publication = load(ROOT / "reports/forge/bispf-optimized/quality.json") + archive = publication["raw_readout_archive"] + raw = path.read_bytes() + require(len(raw) == archive["bytes"] and sha(raw) == archive["sha256"], "Original readout bytes differ") + original = json.loads(raw) + require(original["candidate_id"] == CANDIDATE and original["candidate_revision"] == REVISION, "Wrong candidate") + matches = [r for r in original["task_results"] if r["task_id"] == TASK] + require(len(matches) == 1, "Missing/duplicate task") + row = matches[0] + attempt = row["_attempt_id"] + compact_path = ROOT / "reports/forge/technique-receipts" / (attempt + ".json") + compact = load(compact_path) + require(compact["candidate_id"] == CANDIDATE and compact["candidate_revision"] == REVISION, "Wrong compact candidate") + require(compact["provenance"]["source_origin_commit"] == SOURCE, "Wrong executed source") + projected = next(r for r in compact["task_results"] if r["task_id"] == TASK) + require(all(row["metrics"][k] == v for k, v in projected["metrics"].items()), "Endpoint projection changed") + card_path = ROOT / "configs/forge/tasks" / (TASK + ".json") + card = load(card_path) + frozen_card_bytes = subprocess.check_output(["git", "show", SOURCE + ":" + str(card_path.relative_to(ROOT))], cwd=ROOT) + require(card_path.read_bytes() == frozen_card_bytes, "Current task differs from executed declaration") + evidence = row["evidence"] + n = row["recipe"]["num_particles"] + measurement = card["evaluation"]["measurement"] + mode_min = math.ceil(n * measurement["min_mode_fraction"]) + hq_min = math.ceil(n * measurement["hq_min"]) + observations = evidence["observations"] + require([r["step"] for r in observations] == list(range(25, 601, 25)), "Wrong observation cadence") + require(row["execution_path"] == "public_trainer" and row["rng"]["seed"] == 0, "Wrong public API/seed") + require(row["gate_status"] == projected["gate_status"] == "FAIL", "Original FAIL changed") + guards = evidence["guards"] + require(guards["all_finite"] and guards["unintended_rng_deviations"] == 0, "Execution guard failed") + require(guards["optimizer_updates"] == dict(discriminator=600, generator=600, prior=600), "Wrong update budget") + require(evidence["sampling_law"] == "enumerated_prior_without_output_noise" and evidence["eval_output_noise"] == "clean", "Wrong sampling") + inventory = load(ROOT / "reports/forge/technique-inventory.json") + leader = next(r for r in inventory["rows"] if r.get("candidate_id") == CANDIDATE) + require(leader["candidate_revision"] == REVISION and leader["bindings"]["source_origin_commit"] == SOURCE, "Selected leader changed") + contract_id = leader["bindings"]["task_contracts"][TASK] + contract = inventory["task_contracts"][contract_id] + require(contract["host_adaptation"]["host_definition"] == evidence["host"]["definition"], "Host definition changed") + derived = [] + for point in observations: + counts = [] + for field in ("mode_fractions", "quality_mode_fractions"): + fractions = point[field] + require(len(fractions) == measurement["modes"], "Wrong fraction dimensions") + require(all(0 <= f <= 1 and abs(n*f-round(n*f)) < 1e-10 for f in fractions), "Nonintegral particle counts") + counts.append([round(n*f) for f in fractions]) + assigned, clean = counts + require(sum(assigned) == n and all(a >= q for a, q in zip(assigned, clean)), "Invalid clean/assigned partition") + require(point["hq"] == sum(clean)/n, "HQ does not equal clean fraction") + require(point["modes"] == sum(q >= mode_min for q in clean), "Mode count differs") + tv = sum(abs(a/n-1/len(assigned)) for a in assigned)/2 + require(point["distribution_tv"] == tv, "Distribution TV differs") + passed = point["modes"] >= measurement["modes"] and point["hq"] >= measurement["hq_min"] + derived.append(dict(step=point["step"], assigned=assigned, clean=clean, modes=point["modes"], clean_total=sum(clean), passed=passed)) + passing = [p["step"] for p in derived if p["passed"]] + suffix = 0 + for point in reversed(derived): + if not point["passed"]: + break + suffix += 1 + convergence = projected["evaluator_summary"]["convergence"] + require(len(passing) == convergence["passing_observations"] and suffix == convergence["passing_suffix"], "Archived sustained result differs") + require(row["metrics"] == observations[-1], "Endpoint is not final observation") + media_path = ROOT / "reports/forge/bispf-optimized/quality-media" / (TASK + ".json") + media = load(media_path) + gif_path = media_path.with_suffix(".gif") + require(sha(gif_path.read_bytes()) == media["gif_sha256"], "Published actual-training GIF changed") + require(media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0, "Media execution changed") + require(list(media["source_inputs"].values()) == [evidence["saved_observer_outputs"]["sha256"]], "Media belongs to another output tensor") + source_files = ["benchmarks/transfer_suite/image_tasks.py", "experiments/forge/adapters.py", "particlegan/recipes.py", "particlegan/training.py", "particlegan/bispf.py", "particlegan/optim/dualnorm.py"] + source_hashes = {name: sha(subprocess.check_output(["git", "show", SOURCE + ":" + name], cwd=ROOT)) for name in source_files} + milestones = {25, 300, 350, 375, 400, 500, 550, 575, 600} + return dict(schema_version=1, task_id=TASK, scope="zero_training_archived_observation_audit", audit_status="PASS", original_gate="FAIL", qualification_input=False, + training_updates_added=0, sampling_draws_added=0, original_readout=dict(original_path=archive["path"], inspected_path=str(path), sha256=sha(raw), bytes=len(raw)), + candidate=dict(id=CANDIDATE, revision=REVISION, executed_commit=SOURCE, source_digest=compact["provenance"]["source_digest"], attempt_id=attempt, canonical_result_hash=compact["provenance"]["canonical_result_hash"]), + task_contract=dict(sha256=contract_id, contract=contract), effective_recipe=row["recipe"], prior=row["prior"], prior_policy=evidence["prior_policy"], initialization=row["initialization"], + streams=dict(seed=row["rng"]["seed"], version=row["rng"]["version"], checkpoint_stream_state_sha256=evidence["provenance_checkpoint"]["named_stream_state_sha256"], checkpoint_sha256=evidence["provenance_checkpoint"]["sha256"], unintended_deviations=guards["unintended_rng_deviations"]), + metrics=row["metrics"], checks=dict(observations_checked=len(observations), minimum_clean_per_mode=mode_min, minimum_total_clean=hq_min, passing_observations=len(passing), passing_suffix=suffix, required_suffix=measurement["minimum_stable_checks"], maximum_modes=max(p["modes"] for p in derived), maximum_clean_total=max(p["clean_total"] for p in derived), first_all_modes_step=next((p["step"] for p in derived if p["modes"] == measurement["modes"]), None), final_assigned_counts=derived[-1]["assigned"], final_clean_counts=derived[-1]["clean"]), + selected_milestones=[p for p in derived if p["step"] in milestones], execution_guards=guards, + inputs=dict(compact_receipt=dict(path=str(compact_path.relative_to(ROOT)),sha256=sha(compact_path.read_bytes())), task_declaration=dict(path=str(card_path.relative_to(ROOT)),sha256=sha(card_path.read_bytes())), actual_training_gif=dict(path=str(gif_path.relative_to(ROOT)),sha256=media["gif_sha256"], saved_samples_sha256=evidence["saved_observer_outputs"]["sha256"]), frozen_source_files=source_hashes), + limits=["Counts derived from original API metric fractions, not newly evaluated pixels.", "No full original envelope regrade, training or qualification update.", "Saved image tensor and trained G/D checkpoints were not located; source hashes and receipts do not supply gradient evidence.", "Milestones describe observations every 25 updates; intermediate acquisition/loss is unknown."]) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--readout", type=Path, required=True) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + result = audit(args.readout) + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + print(json.dumps(dict(task=TASK, audit=result["audit_status"], original_gate=result["original_gate"], checks=result["checks"]), sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/img_blobs4/README.md b/reports/forge/leading-failures-20261022/img_blobs4/README.md new file mode 100644 index 000000000..f402a9fa3 --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_blobs4/README.md @@ -0,0 +1,73 @@ +# BISPF investigation: Four corners: underallocation and insufficient clean outputs + +BISPF reaches three qualifying corners and 26/32 clean images. The fourth corner has only two nearest assignments and one clean image, so both coverage and quality fail. This is an investigation of the selected global recipe `bispf-optimized-quintic-v1`, not a new training comparison. The original **FAIL** is retained. The [current technique inventory](../../technique-inventory.md) remains the only goal leaderboard. + +## Frozen evidence and protocol + +- Candidate revision: `8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`; attempt `9fd0c3e51af84b8895095f51765d84e4`. +- Executed commit: `d9d72d53761c898bce20102e1995fc3d899c1447`; scientific digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +- Canonical original result hash: `c9762bd365a4c128e4cdc7406519ac66bd838ad70e7aed38c39d9f2ce4c0ff4a`. [Published compact receipt](../../technique-receipts/9fd0c3e51af84b8895095f51765d84e4.json) is a display/provenance summary, not a replacement qualification envelope. +- Original full readout: SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`, 4,926,714 bytes, retained at `/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`. The [published archive pointer](../../bispf-optimized/quality.json) retains its original `/home/martyn/dev/...` identity. The audit verifies the exact bytes at the mounted location. +- Task contract: `be03bd0b19ad12740cd27187d63d49d16e112632d09b30e0ca8ae317ddc3715b`. [Current task declaration](../../../../configs/forge/tasks/img_blobs4.json) matches the recorded host/measurement contract used here. +- **Seed 0**, public `deterministic_orthogonal_named_parameters_v1` initialization, width-12 transposed-convolution generator (5,173 parameters), critic (2,833 parameters), 8-D latent, 32 learned uniform particle-cloud rows, sigma 0, no standardization. This task's explicit cloud exception applies; the inventory's generic MoG binding is not the image task prior. +- Uniform noisy-template target law: 8×8 grayscale templates with clipped Gaussian pixel noise std 0.01 during training. Evaluation enumerates all 32 learned rows, clean/live weights, no output noise, exactly 24 checks at updates 25,50,…,600. +- 600 updates each for G, D and prior; finite outputs, penalty applied 600 times, zero unintended RNG deviations. Constructor/data/prior/noise/evaluation streams have recorded initial bindings and terminal state hashes in the original receipt. The [audit result](audit-result.json) preserves initial model hashes and named-stream checkpoint hashes. +- Actual recipe: non-saturating GAN loss; BISPF critic penalty; full DualNorm, smoothing 0.001, momentum 0, quintic convolution rule; G lr 0.012, D multiplier 1.5, prior multiplier 2.5; learned prior with SBNP regularizer weight 0.01; no EMA scoring or added output noise. The task's old lr 0.0017, prior weight 0.05 and EMA 0.99 fields are inactive historical provenance, not active training settings. Exact resolved recipe is retained in [audit-result.json](audit-result.json). + +## Numerical finding + +The unchanged gate requires four modes, each with at least 4/32 clean images; at least 29/32 clean images overall; five consecutive terminal passing observations. Quality uses nearest-template **whole-image RMSE ≤ 0.10**. Count order: top-left (1,1), top-right (1,5), bottom-left (5,1), bottom-right (5,5). + +| Metric | Selected endpoint | Bound | Original result | +| --- | ---: | ---: | --- | +| Qualifying modes | 3 | ≥ 4 | FAIL | +| Clean images | 26/32 (0.8125) | ≥ 29/32 | FAIL | +| Terminal passing checks | 0 | ≥ 5 | FAIL | +| Distribution TV (diagnostic) | 0.1875 | no task gate | diagnostic | +| Mean RMSE (diagnostic) | 0.047137164 | no mean-RMSE gate | diagnostic | + +Endpoint nearest-template counts are **[8, 9, 2, 13]**, while clean counts are **[8, 6, 1, 11]**. The bottom-left corner is underallocated even before applying quality. Making every current assignment clean would still leave this corner below four; at least two assignments must change, and at least three additional clean images are needed overall. + +The bottom-right corner first clears the four-clean population threshold at update 350. At 400 the top two corners join it, giving three qualifying modes. The bottom-left corner reaches just one clean image at 450 and never exceeds one thereafter. No observation reaches four modes, and maximum HQ is 26/32 (0.8125). This is neither a one-image near miss nor a four-check sustained near pass in this selected source. + +**Historical distinction.** The older BISPF problem narrative says 28/32 clean (0.875). This selected quintic cohort records 26/32 (0.8125), which is three clean images below the 29/32 bound. Historical transport near passes and older BISPF numbers must not be substituted for this run. + +## Mechanism examination + +Examination is bound to the **executed commit**, not newer `develop` code. File hashes are recorded in [audit-result.json](audit-result.json). + +1. [Frozen API image adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) trains through public `GANTrainer`, draws the noisy target batch once per update, and scores clean enumeration with `fixed_first_n=True`. This is exact finite-prior measurement, not 32 independent Monte Carlo samples. Missing modes here are not evaluation sampling noise. +2. [Frozen recipe loss dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py#L673) only selects `SinkhornRelativisticLoss` when the recipe loss is `relativistic`. The actual recipe says `non_saturating`, so its [adversarial objective](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/gan_loss.py) is ordinary non-saturating loss. Sinkhorn still enters penalty residual/data-scale calculations. The family name does not imply that a balanced coupling supervises output mode populations in this run. +3. [Frozen BISPF penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L1136) classifies N×1×8×8 as image tensors: default transport chords are bypassed and thermal scale is fixed to 1. The low-dimensional late harmonic-freeze branch does not apply to this image task. Image-specific endpoint penalty scaling and logit gauge remain active. Therefore a causal story based on image thermal freezing or a chord-bridge force is unsupported. +4. [Frozen SBNP](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L173) acts on latent rows and initial moments, with `min_dof=2*k_nn+d`; 32 rows in 8 dimensions exceed its 18-row cutoff for k=5. It does not test image identity or counts. The [shared trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py) adds its recipe-owned 0.01 contribution to generator/prior training. Output many-to-one mappings are not excluded by latent repulsion. +5. [Frozen optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py#L548) applies the quintic accelerator only above 32 channels. These host convolutions have at most 24 channels and retain the native small-kernel path. The failure is not evidence against the polynomial's exercised wide-channel path; the complete source/recipe remains its own numerical cohort. + +A 2×2 corner occupies only 4/64 pixels. The global image objective may give weak location-specific correction, or separated latent rows may still map to the same corner. These are hypotheses, not measured gradient causes. Two nearest assignments at the missing corner rule out a pure “all four populations are present, only sharpening is needed” endpoint account. They do not identify why the allocation became uneven. + +## Existing attempts and controls + +The [original BISPF readout](../../bispf/README.md) retains an earlier three-mode/HQ 0.875 result. The [October 15 dispositions](../../test-dispositions-20261015/README.md#img_blobs4) document separate R1/R2 and kinetic transport passes, and several kinetic histories with four final passing checks but not the required five. Those outcomes show that numerical feasibility and sustained acquisition are separate questions; their recipe and prior identities do not establish a BISPF repair. The convolution-support report belongs to a different BCAP recipe and is not a BISPF trial. + +Actual-training illustration for **this same attempt and saved output tensor**: [GIF](../../bispf-optimized/quality-media/img_blobs4.gif), [source/media receipt](../../bispf-optimized/quality-media/img_blobs4.json). The audit verifies the GIF hash and original `observed-images.pt` hash binding. No footage is invented, no images are regenerated, and no training is added. Metrics above determine the conclusion. + +## Bounded next diagnostic and recommendation + +Recover the exact saved `observed-images.pt` in the audit/media receipt, then use **zero optimizer updates** on the five terminal checks (160 images) to decompose squared error into the target 2×2 patch, its complementary background, and the other three corners. Report per-corner assignments and clean populations, row transitions and each error component. Exact reproduction of [8,9,2,13] nearest and [8,6,1,11] clean is a mandatory precondition. The location/background hypothesis predicts larger error outside the target patch for missed bottom-left rows; falsify it if their errors are confined to correct-patch intensity with negligible off-patch error. A result may show mixed causes; report them rather than choosing one. + +A later critic/Jacobian discrimination requires a complete compatible trained public `GANTrainer` state. The recorded checkpoint is `purpose=provenance_only`, `prerequisite_eligible=false`, and supplies no continuation authority. Missing arrays or model state block the corresponding analysis, not authorize unchanged retraining. Any training repair must retain width 12, the target law, initializer/streams, 600 updates, clean enumeration, all gates and the global recipe across tasks; test counted `img_stripes2` as a regression control. + +Keep the selected global BISPF recipe and its failures visible. This PR changes no recipe, gates, qualification, held status, view, leaderboard or default. It adds no paid training, continuation or seed experiment. Pixel/gradient causes remain open until the exact required artifacts are recovered. + +## Reproduce this investigation + +From the repository root, with the archived full readout available: + +```sh +python reports/forge/leading-failures-20261022/img_blobs4/audit.py \ + --readout /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json \ + --output /tmp/img_blobs4-audit-result.json +``` + +The script is standard-library-only and executes **zero** trainer steps, forwards or random draws. It verifies original archive bytes, selected leader and task identity, all 24 aggregate count/HQ/mode/TV calculations, original sustained result, budget/finite/RNG guards, endpoint projection, frozen source hashes, and actual-training media binding. It exits nonzero for a changed input. It does not regrade qualification or recompute missing image pixels. [Compact result](audit-result.json) retains selected milestones rather than copying bulk logs/per-update streams. + +Validation: exact archived-observation audit **PASS**, original scientific **FAIL** unchanged; byte-corruption negative control rejects the altered archive; local report links and `git diff --check` pass. Console audit output can be redirected to any local `.log` and tailed; raw logs stay under `/mnt/ml7tb/ParticleGAN-forge/leading-failures-20261022/image-audits/`. diff --git a/reports/forge/leading-failures-20261022/img_blobs4/audit-result.json b/reports/forge/leading-failures-20261022/img_blobs4/audit-result.json new file mode 100644 index 000000000..21420e626 --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_blobs4/audit-result.json @@ -0,0 +1,548 @@ +{ + "audit_status": "PASS", + "candidate": { + "attempt_id": "9fd0c3e51af84b8895095f51765d84e4", + "canonical_result_hash": "c9762bd365a4c128e4cdc7406519ac66bd838ad70e7aed38c39d9f2ce4c0ff4a", + "executed_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "id": "bispf-optimized-quintic-v1", + "revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213" + }, + "checks": { + "final_assigned_counts": [ + 8, + 9, + 2, + 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"[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a32f36a210008f43c0b6994fe98a43dbb59ee66c51f44103e1d686461e086c77" + }, + "seed": 0, + "unintended_deviations": 0, + "version": "forge-rng-v1" + }, + "task_contract": { + "contract": { + "adapter": "transfer_image", + "evaluation_sha256": "3577d52170ab9a83b176e540cab0453ee5a9e2d328d82357a2b6e2cb8e7d1f98", + "execution_sha256": "298972e63843ff4bc4a0975331c54a319328a146eee42c22cd9ebd04e5d008ba", + "host": "img_blobs4", + "host_adaptation": { + "contract": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "delegated_reference_values": {}, + "host_definition": { + "adam_betas": [ + 0.0, + 0.99 + ], + "architecture": "transpose", + "batch_size": 32, + "ema_decay": 0.99, + "family": "image_conv_transpose", + "gradient_penalty": "b_cap", + "kappa": 1.25, + "lr_d": 0.0017, + "lr_g": 0.0017, + "modes": 4, + "noise_std": 0.01, + "particles": 32, + "pattern": "blobs4", + "penalty_coeff": 3.0, + "prior_weight": 0.05, + "split": "development", + "steps": 600, + "width": 12, + "z_dim": 8 + }, + "note": "Task adaptation never delegates prior policy or regularization under recipe_owned_v1.", + "owner": "frozen task resources and original host objectives", + "schema_version": 1, + "task_id": "img_blobs4" + }, + "host_definition_sha256": "baffe1c2bfc2e2e078555268dae5e178764de04a4ba214e05606dd0f4624a8fa", + "host_profiles": {}, + "initialization": null, + "prior": { + "exception_reason": "Frozen image evaluation enumerates finite learned centers; stochastic MoG sampling requires separately calibrated measurement.", + "kind": "particle_cloud", + "sigma": 0.0, + "standardize": false + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "enumerated_prior_without_output_noise", + "scoring_weights": "live" + }, + "steps": 600, + "timeout_seconds": 1800 + }, + "sha256": "be03bd0b19ad12740cd27187d63d49d16e112632d09b30e0ca8ae317ddc3715b" + }, + "task_id": "img_blobs4", + "training_updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/img_blobs4/audit.py b/reports/forge/leading-failures-20261022/img_blobs4/audit.py new file mode 100644 index 000000000..73245bcdf --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_blobs4/audit.py @@ -0,0 +1,131 @@ +"""Verify archived public-API observations; no construction, sampling or training. + +Run from any checkout: python PATH/audit.py --readout ORIGINAL --output result.json +The required original hash is taken from the committed quality archive receipt. +This script checks aggregate consistency, not qualification or pixel reconstruction. +""" +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "img_blobs4" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +REVISION = "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def" +ROOT = Path(__file__).resolve().parents[4] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def load(path): + return json.loads(path.read_bytes()) + + +def require(ok, message): + if not ok: + raise ValueError(message) + + +def audit(path): + publication = load(ROOT / "reports/forge/bispf-optimized/quality.json") + archive = publication["raw_readout_archive"] + raw = path.read_bytes() + require(len(raw) == archive["bytes"] and sha(raw) == archive["sha256"], "Original readout bytes differ") + original = json.loads(raw) + require(original["candidate_id"] == CANDIDATE and original["candidate_revision"] == REVISION, "Wrong candidate") + matches = [r for r in original["task_results"] if r["task_id"] == TASK] + require(len(matches) == 1, "Missing/duplicate task") + row = matches[0] + attempt = row["_attempt_id"] + compact_path = ROOT / "reports/forge/technique-receipts" / (attempt + ".json") + compact = load(compact_path) + require(compact["candidate_id"] == CANDIDATE and compact["candidate_revision"] == REVISION, "Wrong compact candidate") + require(compact["provenance"]["source_origin_commit"] == SOURCE, "Wrong executed source") + projected = next(r for r in compact["task_results"] if r["task_id"] == TASK) + require(all(row["metrics"][k] == v for k, v in projected["metrics"].items()), "Endpoint projection changed") + card_path = ROOT / "configs/forge/tasks" / (TASK + ".json") + card = load(card_path) + frozen_card_bytes = subprocess.check_output(["git", "show", SOURCE + ":" + str(card_path.relative_to(ROOT))], cwd=ROOT) + require(card_path.read_bytes() == frozen_card_bytes, "Current task differs from executed declaration") + evidence = row["evidence"] + n = row["recipe"]["num_particles"] + measurement = card["evaluation"]["measurement"] + mode_min = math.ceil(n * measurement["min_mode_fraction"]) + hq_min = math.ceil(n * measurement["hq_min"]) + observations = evidence["observations"] + require([r["step"] for r in observations] == list(range(25, 601, 25)), "Wrong observation cadence") + require(row["execution_path"] == "public_trainer" and row["rng"]["seed"] == 0, "Wrong public API/seed") + require(row["gate_status"] == projected["gate_status"] == "FAIL", "Original FAIL changed") + guards = evidence["guards"] + require(guards["all_finite"] and guards["unintended_rng_deviations"] == 0, "Execution guard failed") + require(guards["optimizer_updates"] == dict(discriminator=600, generator=600, prior=600), "Wrong update budget") + require(evidence["sampling_law"] == "enumerated_prior_without_output_noise" and evidence["eval_output_noise"] == "clean", "Wrong sampling") + inventory = load(ROOT / "reports/forge/technique-inventory.json") + leader = next(r for r in inventory["rows"] if r.get("candidate_id") == CANDIDATE) + require(leader["candidate_revision"] == REVISION and leader["bindings"]["source_origin_commit"] == SOURCE, "Selected leader changed") + contract_id = leader["bindings"]["task_contracts"][TASK] + contract = inventory["task_contracts"][contract_id] + require(contract["host_adaptation"]["host_definition"] == evidence["host"]["definition"], "Host definition changed") + derived = [] + for point in observations: + counts = [] + for field in ("mode_fractions", "quality_mode_fractions"): + fractions = point[field] + require(len(fractions) == measurement["modes"], "Wrong fraction dimensions") + require(all(0 <= f <= 1 and abs(n*f-round(n*f)) < 1e-10 for f in fractions), "Nonintegral particle counts") + counts.append([round(n*f) for f in fractions]) + assigned, clean = counts + require(sum(assigned) == n and all(a >= q for a, q in zip(assigned, clean)), "Invalid clean/assigned partition") + require(point["hq"] == sum(clean)/n, "HQ does not equal clean fraction") + require(point["modes"] == sum(q >= mode_min for q in clean), "Mode count differs") + tv = sum(abs(a/n-1/len(assigned)) for a in assigned)/2 + require(point["distribution_tv"] == tv, "Distribution TV differs") + passed = point["modes"] >= measurement["modes"] and point["hq"] >= measurement["hq_min"] + derived.append(dict(step=point["step"], assigned=assigned, clean=clean, modes=point["modes"], clean_total=sum(clean), passed=passed)) + passing = [p["step"] for p in derived if p["passed"]] + suffix = 0 + for point in reversed(derived): + if not point["passed"]: + break + suffix += 1 + convergence = projected["evaluator_summary"]["convergence"] + require(len(passing) == convergence["passing_observations"] and suffix == convergence["passing_suffix"], "Archived sustained result differs") + require(row["metrics"] == observations[-1], "Endpoint is not final observation") + media_path = ROOT / "reports/forge/bispf-optimized/quality-media" / (TASK + ".json") + media = load(media_path) + gif_path = media_path.with_suffix(".gif") + require(sha(gif_path.read_bytes()) == media["gif_sha256"], "Published actual-training GIF changed") + require(media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0, "Media execution changed") + require(list(media["source_inputs"].values()) == [evidence["saved_observer_outputs"]["sha256"]], "Media belongs to another output tensor") + source_files = ["benchmarks/transfer_suite/image_tasks.py", "experiments/forge/adapters.py", "particlegan/recipes.py", "particlegan/training.py", "particlegan/bispf.py", "particlegan/optim/dualnorm.py"] + source_hashes = {name: sha(subprocess.check_output(["git", "show", SOURCE + ":" + name], cwd=ROOT)) for name in source_files} + milestones = {25, 300, 350, 375, 400, 500, 550, 575, 600} + return dict(schema_version=1, task_id=TASK, scope="zero_training_archived_observation_audit", audit_status="PASS", original_gate="FAIL", qualification_input=False, + training_updates_added=0, sampling_draws_added=0, original_readout=dict(original_path=archive["path"], inspected_path=str(path), sha256=sha(raw), bytes=len(raw)), + candidate=dict(id=CANDIDATE, revision=REVISION, executed_commit=SOURCE, source_digest=compact["provenance"]["source_digest"], attempt_id=attempt, canonical_result_hash=compact["provenance"]["canonical_result_hash"]), + task_contract=dict(sha256=contract_id, contract=contract), effective_recipe=row["recipe"], prior=row["prior"], prior_policy=evidence["prior_policy"], initialization=row["initialization"], + streams=dict(seed=row["rng"]["seed"], version=row["rng"]["version"], checkpoint_stream_state_sha256=evidence["provenance_checkpoint"]["named_stream_state_sha256"], checkpoint_sha256=evidence["provenance_checkpoint"]["sha256"], unintended_deviations=guards["unintended_rng_deviations"]), + metrics=row["metrics"], checks=dict(observations_checked=len(observations), minimum_clean_per_mode=mode_min, minimum_total_clean=hq_min, passing_observations=len(passing), passing_suffix=suffix, required_suffix=measurement["minimum_stable_checks"], maximum_modes=max(p["modes"] for p in derived), maximum_clean_total=max(p["clean_total"] for p in derived), first_all_modes_step=next((p["step"] for p in derived if p["modes"] == measurement["modes"]), None), final_assigned_counts=derived[-1]["assigned"], final_clean_counts=derived[-1]["clean"]), + selected_milestones=[p for p in derived if p["step"] in milestones], execution_guards=guards, + inputs=dict(compact_receipt=dict(path=str(compact_path.relative_to(ROOT)),sha256=sha(compact_path.read_bytes())), task_declaration=dict(path=str(card_path.relative_to(ROOT)),sha256=sha(card_path.read_bytes())), actual_training_gif=dict(path=str(gif_path.relative_to(ROOT)),sha256=media["gif_sha256"], saved_samples_sha256=evidence["saved_observer_outputs"]["sha256"]), frozen_source_files=source_hashes), + limits=["Counts derived from original API metric fractions, not newly evaluated pixels.", "No full original envelope regrade, training or qualification update.", "Saved image tensor and trained G/D checkpoints were not located; source hashes and receipts do not supply gradient evidence.", "Milestones describe observations every 25 updates; intermediate acquisition/loss is unknown."]) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--readout", type=Path, required=True) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + result = audit(args.readout) + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + print(json.dumps(dict(task=TASK, audit=result["audit_status"], original_gate=result["original_gate"], checks=result["checks"]), sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/img_intensity2/README.md b/reports/forge/leading-failures-20261022/img_intensity2/README.md new file mode 100644 index 000000000..a4f143fd5 --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_intensity2/README.md @@ -0,0 +1,75 @@ +# BISPF investigation: Two intensities: fidelity failure after late two-mode acquisition + +The selected BISPF endpoint has both brightness levels, with exactly 16 nearest assignments per level. Only 19/32 images meet the RMSE bound. Its recorded failure is whole-image fidelity, with late qualifying coverage, not endpoint one-mode collapse. This is an investigation of the selected global recipe `bispf-optimized-quintic-v1`, not a new training comparison. The original **FAIL** is retained. The [current technique inventory](../../technique-inventory.md) remains the only goal leaderboard. + +## Frozen evidence and protocol + +- Candidate revision: `8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`; attempt `81b4b1e0cd374e9e80a683e5e192b824`. +- Executed commit: `d9d72d53761c898bce20102e1995fc3d899c1447`; scientific digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +- Canonical original result hash: `70fca26df8ade26a1a98a8a13a487f1bf140592c430526f4fb91f144211d17d5`. [Published compact receipt](../../technique-receipts/81b4b1e0cd374e9e80a683e5e192b824.json) is a display/provenance summary, not a replacement qualification envelope. +- Original full readout: SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`, 4,926,714 bytes, retained at `/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`. The [published archive pointer](../../bispf-optimized/quality.json) retains its original `/home/martyn/dev/...` identity. The audit verifies the exact bytes at the mounted location. +- Task contract: `dca7a6bbd97d9f50461f27aede455fab14b7852dbbbee5e6e83e54870a542c2f`. [Current task declaration](../../../../configs/forge/tasks/img_intensity2.json) matches the recorded host/measurement contract used here. +- **Seed 0**, public `deterministic_orthogonal_named_parameters_v1` initialization, width-12 transposed-convolution generator (5,173 parameters), critic (2,833 parameters), 8-D latent, 32 learned uniform particle-cloud rows, sigma 0, no standardization. This task's explicit cloud exception applies; the inventory's generic MoG binding is not the image task prior. +- Uniform noisy-template target law: 8×8 grayscale templates with clipped Gaussian pixel noise std 0.01 during training. Evaluation enumerates all 32 learned rows, clean/live weights, no output noise, exactly 24 checks at updates 25,50,…,600. +- 600 updates each for G, D and prior; finite outputs, penalty applied 600 times, zero unintended RNG deviations. Constructor/data/prior/noise/evaluation streams have recorded initial bindings and terminal state hashes in the original receipt. The [audit result](audit-result.json) preserves initial model hashes and named-stream checkpoint hashes. +- Actual recipe: non-saturating GAN loss; BISPF critic penalty; full DualNorm, smoothing 0.001, momentum 0, quintic convolution rule; G lr 0.012, D multiplier 1.5, prior multiplier 2.5; learned prior with SBNP regularizer weight 0.01; no EMA scoring or added output noise. The task's old lr 0.0017, prior weight 0.05 and EMA 0.99 fields are inactive historical provenance, not active training settings. Exact resolved recipe is retained in [audit-result.json](audit-result.json). + +## Numerical finding + +The unchanged gate requires two modes, each with at least 8/32 clean images; at least 29/32 clean images overall; five consecutive terminal passing observations. Quality uses nearest-template **whole-image RMSE ≤ 0.06**. Count order: central 4×4 patch at intensity 0.35, central 4×4 patch at intensity 0.85. + +| Metric | Selected endpoint | Bound | Original result | +| --- | ---: | ---: | --- | +| Qualifying modes | 2 | ≥ 2 | PASS | +| Clean images | 19/32 (0.59375) | ≥ 29/32 | FAIL | +| Terminal passing checks | 0 | ≥ 5 | FAIL | +| Distribution TV (diagnostic) | 0.0 | no task gate | diagnostic | +| Mean RMSE (diagnostic) | 0.063101210 | no mean-RMSE gate | diagnostic | + +Nearest assignments are **[16,16]** and clean counts are **[11,8]** at update 600. Five dark-assigned and eight bright-assigned images fail quality. Both populations satisfy the eight-clean threshold, but 13/32 images fail RMSE and at least ten must improve to reach 29/32. Distribution TV is exactly zero because it uses all nearest assignments; balanced assignment mass does not establish image fidelity. + +Both qualifying modes first appear at update 600. Earlier recorded states oscillate between zero and one qualifying mode; the dark level first has clean examples at 550, but only three until the last check. No observation meets overall HQ, and maximum HQ is the final 19/32. Even a different terminal HQ could not retroactively supply five sustained passing checks. + +For an otherwise exact image whose only error is uniform intensity inside the 4×4 patch, full-image RMSE equals half the intensity error, so 0.06 allows ±0.12 inside the patch. Real misses can instead involve background leakage or geometry. The aggregate readout cannot distinguish those sources, so “brightness is inaccurate” is a task description, not a demonstrated pixel-level cause. + +**Historical distinction.** The original BISPF problem narrative says one brightness level and HQ 0.5. That is an earlier cohort. The selected quintic run has two qualifying modes and HQ 0.59375; its FAIL remains unchanged. Do not carry the old endpoint-collapse diagnosis into this source. + +## Mechanism examination + +Examination is bound to the **executed commit**, not newer `develop` code. File hashes are recorded in [audit-result.json](audit-result.json). + +1. [Frozen API image adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) trains through public `GANTrainer`, draws the noisy target batch once per update, and scores clean enumeration with `fixed_first_n=True`. This is exact finite-prior measurement, not 32 independent Monte Carlo samples. Missing modes here are not evaluation sampling noise. +2. [Frozen recipe loss dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py#L673) only selects `SinkhornRelativisticLoss` when the recipe loss is `relativistic`. The actual recipe says `non_saturating`, so its [adversarial objective](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/gan_loss.py) is ordinary non-saturating loss. Sinkhorn still enters penalty residual/data-scale calculations. The family name does not imply that a balanced coupling supervises output mode populations in this run. +3. [Frozen BISPF penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L1136) classifies N×1×8×8 as image tensors: default transport chords are bypassed and thermal scale is fixed to 1. The low-dimensional late harmonic-freeze branch does not apply to this image task. Image-specific endpoint penalty scaling and logit gauge remain active. Therefore a causal story based on image thermal freezing or a chord-bridge force is unsupported. +4. [Frozen SBNP](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py#L173) acts on latent rows and initial moments, with `min_dof=2*k_nn+d`; 32 rows in 8 dimensions exceed its 18-row cutoff for k=5. It does not test image identity or counts. The [shared trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py) adds its recipe-owned 0.01 contribution to generator/prior training. Output many-to-one mappings are not excluded by latent repulsion. +5. [Frozen optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py#L548) applies the quintic accelerator only above 32 channels. These host convolutions have at most 24 channels and retain the native small-kernel path. The failure is not evidence against the polynomial's exercised wide-channel path; the complete source/recipe remains its own numerical cohort. + +The immediate measured cause of gate failure is too few clean images, especially among bright-assigned rows. A possible mechanism is a generator/critic correction field that preserves the two broad populations while failing to land precisely on either template. Generator sigmoid saturation, background leakage, geometry errors and critic gradients remain unmeasured alternatives. Exact assignment balance and late clean coverage make an endpoint population-collapse explanation inconsistent with this selected evidence. + +## Existing attempts and controls + +The [older BISPF readout](../../bispf/README.md) has the one-mode/HQ 0.5 endpoint, while the selected [quintic readout](../../bispf-optimized/README.md) preserves the same task FAIL with different numbers. The [disposition](../../test-dispositions-20261015/README.md#img_intensity2) records separate R1/R2, GAN v3 and kinetic passes with regressions on counted controls. The historical wider-network positive is `img_intensity2_residual16`, a different architecture task. BCAP convolution's four-check near pass is separate recipe evidence. None permits relabeling this result or selecting a brightness-specific recipe outside the global comparison. + +Actual-training illustration for **this same attempt and saved output tensor**: [GIF](../../bispf-optimized/quality-media/img_intensity2.gif), [source/media receipt](../../bispf-optimized/quality-media/img_intensity2.json). The audit verifies the GIF hash and original `observed-images.pt` hash binding. No footage is invented, no images are regenerated, and no training is added. Metrics above determine the conclusion. + +## Bounded next diagnostic and recommendation + +Recover the exact archived `observed-images.pt` identified in the audit/media receipt. For the **five terminal checks, 160 images and zero optimizer updates**, compute nearest-target RMSE, mean/intensity variance inside the central patch, squared error outside it, and per-level clean counts. Reproduce [16,16] nearest and [11,8] clean at update 600 first. Brightness-error hypothesis: for at least 10 of the 13 final misses, squared error of the spatially constant patch-mean offset exceeds half the total squared error (using the exact orthogonal decomposition into patch mean, patch residual and background). Falsifier: fewer than 10 misses have that dominance; investigate spatial/background error instead. Preserve the original RMSE gate in either outcome. + +The exact trained G/D state is additionally needed to distinguish sigmoid sensitivity from critic direction through the public `GANTrainer`. The saved provenance checkpoint is explicitly `purpose=provenance_only`, `prerequisite_eligible=false`; no restart or continuation is authorized by it. Missing tensors/state are evidence gaps, not reasons to rerun unchanged training. A new causal recipe experiment would require Forge registration, a finite budget, fixed task/protocol, one global recipe and counted controls including `img_stripes2`. + +Keep the selected global BISPF recipe and its failures visible. This PR changes no recipe, gates, qualification, held status, view, leaderboard or default. It adds no paid training, continuation or seed experiment. Pixel/gradient causes remain open until the exact required artifacts are recovered. + +## Reproduce this investigation + +From the repository root, with the archived full readout available: + +```sh +python reports/forge/leading-failures-20261022/img_intensity2/audit.py \ + --readout /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json \ + --output /tmp/img_intensity2-audit-result.json +``` + +The script is standard-library-only and executes **zero** trainer steps, forwards or random draws. It verifies original archive bytes, selected leader and task identity, all 24 aggregate count/HQ/mode/TV calculations, original sustained result, budget/finite/RNG guards, endpoint projection, frozen source hashes, and actual-training media binding. It exits nonzero for a changed input. It does not regrade qualification or recompute missing image pixels. [Compact result](audit-result.json) retains selected milestones rather than copying bulk logs/per-update streams. + +Validation: exact archived-observation audit **PASS**, original scientific **FAIL** unchanged; byte-corruption negative control rejects the altered archive; local report links and `git diff --check` pass. Console audit output can be redirected to any local `.log` and tailed; raw logs stay under `/mnt/ml7tb/ParticleGAN-forge/leading-failures-20261022/image-audits/`. diff --git a/reports/forge/leading-failures-20261022/img_intensity2/audit-result.json b/reports/forge/leading-failures-20261022/img_intensity2/audit-result.json new file mode 100644 index 000000000..e9e95eb44 --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_intensity2/audit-result.json @@ -0,0 +1,504 @@ +{ + "audit_status": "PASS", + "candidate": { + "attempt_id": "81b4b1e0cd374e9e80a683e5e192b824", + "canonical_result_hash": "70fca26df8ade26a1a98a8a13a487f1bf140592c430526f4fb91f144211d17d5", + "executed_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "id": "bispf-optimized-quintic-v1", + "revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213" + }, + "checks": { + "final_assigned_counts": [ + 16, + 16 + ], + "final_clean_counts": [ + 11, + 8 + ], + "first_all_modes_step": 600, + "maximum_clean_total": 19, + "maximum_modes": 2, + "minimum_clean_per_mode": 8, + "minimum_total_clean": 29, + "observations_checked": 24, + "passing_observations": 0, + "passing_suffix": 0, + "required_suffix": 5 + }, + "effective_recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 32, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.6, + "lr_control": "mobility", + "lr_floor": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 32, + "observation_sigma": 0.03, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "particles", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 600, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 8 + }, + "execution_guards": { + "all_finite": true, + "hooks_exercised": true, + "mechanism_audit": { + "mechanisms": { + "a2": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_anchor": { + "applied": 0, + "calls": 600, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_guard": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_penalty": { + "applied": 600, + "calls": 600, + "eligible": 600, + "enabled": true, + "reason": "actual host mechanism branch applied", + "requested": true + }, + "direct_particle_gain": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + } + }, + "schema_version": 1 + }, + "optimizer_updates": { + "discriminator": 600, + "generator": 600, + "prior": 600 + }, + "unintended_rng_deviations": 0 + }, + "initialization": { + "discriminator": { + "initial_state_sha256": "59630d01d268fc23cfda55ff5453c8d8c5aeba2e9fdac0f870abcbee76c173ce", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "network.0.bias": 6557316557419445744, + "network.0.weight": 7598941872679323370, + "network.2.bias": 2464826872297182044, + "network.2.weight": 7227191838683133986, + "network.5.bias": 7547839160032859925, + "network.5.weight": 2202451070175648896 + } + }, + "generator": { + "initial_state_sha256": "0c9a04ceee8694bdd6bda88161defa9c908470e01571f614120d062a3658aee1", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "first.bias": 733050053667104688, + "first.weight": 8020115496282456209, + "input.bias": 578494951271729118, + "input.weight": 2329395965692531601, + "output.bias": 4953908800008591931, + "output.weight": 4087544825091049188, + "second.bias": 8046475863185953859, + "second.weight": 379600078997348305 + } + }, + "prior": { + "initial_state_sha256": "04fe4ff6d0ee5e6fe3ec2cdf2bde0bd2370a660835c24939cd2ebab31f8b7647", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "z": 6640234621280078221 + } + } + }, + "inputs": { + "actual_training_gif": { + "path": "reports/forge/bispf-optimized/quality-media/img_intensity2.gif", + "saved_samples_sha256": "62a707033bf2da9ac2318cd2f0e62e4fbd0953e758b7309c0e1b042fefea8046", + "sha256": "05c8e858529068b8eef967ae33fece2b9ada1adf6a55b9d0e807744a140e1f74" + }, + "compact_receipt": { + "path": "reports/forge/technique-receipts/81b4b1e0cd374e9e80a683e5e192b824.json", + "sha256": "28aabaae61ba090673bc15729d7e552d3415f735e7e95aeecfcb9d2a6e665687" + }, + "frozen_source_files": { + "benchmarks/transfer_suite/image_tasks.py": "4f070d0879cbaaaa076f82b4683cfe74ea9ed8d85480d1922e249444a752ce58", + "experiments/forge/adapters.py": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3", + "particlegan/bispf.py": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58", + "particlegan/optim/dualnorm.py": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9", + "particlegan/recipes.py": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621", + "particlegan/training.py": "f84bf044405a1ea105350a260bfc903bade9b8d464ad80eb005b0e4a307a6c2b" + }, + "task_declaration": { + "path": "configs/forge/tasks/img_intensity2.json", + "sha256": "c439fa5d485a46164ed89eb3f1d9494eec8fcbfb167e02a9e69f7d4e323bbb40" + } + }, + "limits": [ + "Counts derived from original API metric fractions, not newly evaluated pixels.", + "No full original envelope regrade, training or qualification update.", + "Saved image tensor and trained G/D checkpoints were not located; source hashes and receipts do not supply gradient evidence.", + "Milestones describe observations every 25 updates; intermediate acquisition/loss is unknown." + ], + "metrics": { + "distribution_tv": 0.0, + "hq": 0.59375, + "mean_rmse": 0.06310120970010757, + "mode_fractions": [ + 0.5, + 0.5 + ], + "modes": 2, + "quality_mode_fractions": [ + 0.34375, + 0.25 + ], + "step": 600 + }, + "original_gate": "FAIL", + "original_readout": { + "bytes": 4926714, + "inspected_path": "/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json", + "original_path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized/ordinary-quality-full-readout.json", + "sha256": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" + }, + "prior": { + "exception_reason": "Frozen image evaluation enumerates finite learned centers; stochastic MoG sampling requires separately calibrated measurement.", + "kind": "particle_cloud", + "learnable": true, + "sigma": 0.0, + "standardize": false + }, + "prior_policy": { + "applicability": "latent_prior", + "contract": "recipe_owned_v1", + "eps": 0.0001, + "l2": 0.0, + "regularizer": "sbnp", + "target_std": 1.0, + "trainable_locations": true, + "update": "learned", + "weight": 0.01 + }, + "qualification_input": false, + "sampling_draws_added": 0, + "schema_version": 1, + "scope": "zero_training_archived_observation_audit", + "selected_milestones": [ + { + "assigned": [ + 32, + 0 + ], + "clean": [ + 0, + 0 + ], + "clean_total": 0, + "modes": 0, + "passed": false, + "step": 25 + }, + { + "assigned": [ + 11, 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"clean_total": 19, + "modes": 2, + "passed": false, + "step": 600 + } + ], + "streams": { + "checkpoint_sha256": "367746e08e7004f9409cefe466070499ae22e4053d4033dd313776d409910c31", + "checkpoint_stream_state_sha256": { + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "b86eba7d4012a66f33e4d708c747089226a5161c698e3289dce5a32a30d83947", + "[\"eval\",\"live\",\"enumerated_samples\",\"cuda:0\"]": "0614a849d36daec7e44214f00063111587d655d573be162a0fe3f99ecd96f181", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "b185e30c7dce6ecef279e98d0b6cad82b152c6ae33a27c1e123445ad4839cfe5", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "4f366a1a9494c3efb116658e77877530233073ce743bf79b43d3c6ed8001daa3", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "941f0e41e945d71c69af5992ebb0585b2c785ce8e85ffda7f8355950d8b4ba6c", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a32f36a210008f43c0b6994fe98a43dbb59ee66c51f44103e1d686461e086c77" + }, + "seed": 0, + "unintended_deviations": 0, + "version": "forge-rng-v1" + }, + "task_contract": { + "contract": { + "adapter": "transfer_image", + "evaluation_sha256": "a5b244cfb3d5a99f00c2a44d8a06afae964b3399d5fb21a2b96542a1d8a61647", + "execution_sha256": "328fe380b705d35436a3d9e0d7cea852fde468738cfa5ea862557c6a94a2355e", + "host": "img_intensity2", + "host_adaptation": { + "contract": { + "recipe_fields": [ + "alpha_bar", + "conditioning", + "distance_reduction", + "encoder_mode", + "model", + "num_classes", + "observation_sigma", + "prior_reg", + "reconstruction_weight", + "routing_temperature", + "ucd_target", + "ucd_weight" + ], + "schema_version": 1 + }, + "delegated_reference_values": {}, + "host_definition": { + "adam_betas": [ + 0.0, + 0.99 + ], + "architecture": "transpose", + "batch_size": 32, + "ema_decay": 0.99, + "family": "image_conv_transpose", + "gradient_penalty": "b_cap", + "kappa": 1.25, + "lr_d": 0.0017, + "lr_g": 0.0017, + "modes": 2, + "noise_std": 0.01, + "particles": 32, + "pattern": "intensity2", + "penalty_coeff": 3.0, + "prior_weight": 0.05, + "split": "development", + "steps": 600, + "width": 12, + "z_dim": 8 + }, + "note": "Task adaptation never delegates prior policy or regularization under recipe_owned_v1.", + "owner": "frozen task resources and original host objectives", + "schema_version": 1, + "task_id": "img_intensity2" + }, + "host_definition_sha256": "0ccaf170f4436dfedaef8200993b278739d1ef6890b01ea605151d0789f355dd", + "host_profiles": {}, + "initialization": null, + "prior": { + "exception_reason": "Frozen image evaluation enumerates finite learned centers; stochastic MoG sampling requires separately calibrated measurement.", + "kind": "particle_cloud", + "sigma": 0.0, + "standardize": false + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "enumerated_prior_without_output_noise", + "scoring_weights": "live" + }, + "steps": 600, + "timeout_seconds": 1800 + }, + "sha256": "dca7a6bbd97d9f50461f27aede455fab14b7852dbbbee5e6e83e54870a542c2f" + }, + "task_id": "img_intensity2", + "training_updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/img_intensity2/audit.py b/reports/forge/leading-failures-20261022/img_intensity2/audit.py new file mode 100644 index 000000000..593240637 --- /dev/null +++ b/reports/forge/leading-failures-20261022/img_intensity2/audit.py @@ -0,0 +1,131 @@ +"""Verify archived public-API observations; no construction, sampling or training. + +Run from any checkout: python PATH/audit.py --readout ORIGINAL --output result.json +The required original hash is taken from the committed quality archive receipt. +This script checks aggregate consistency, not qualification or pixel reconstruction. +""" +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "img_intensity2" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +REVISION = "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def" +ROOT = Path(__file__).resolve().parents[4] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def load(path): + return json.loads(path.read_bytes()) + + +def require(ok, message): + if not ok: + raise ValueError(message) + + +def audit(path): + publication = load(ROOT / "reports/forge/bispf-optimized/quality.json") + archive = publication["raw_readout_archive"] + raw = path.read_bytes() + require(len(raw) == archive["bytes"] and sha(raw) == archive["sha256"], "Original readout bytes differ") + original = json.loads(raw) + require(original["candidate_id"] == CANDIDATE and original["candidate_revision"] == REVISION, "Wrong candidate") + matches = [r for r in original["task_results"] if r["task_id"] == TASK] + require(len(matches) == 1, "Missing/duplicate task") + row = matches[0] + attempt = row["_attempt_id"] + compact_path = ROOT / "reports/forge/technique-receipts" / (attempt + ".json") + compact = load(compact_path) + require(compact["candidate_id"] == CANDIDATE and compact["candidate_revision"] == REVISION, "Wrong compact candidate") + require(compact["provenance"]["source_origin_commit"] == SOURCE, "Wrong executed source") + projected = next(r for r in compact["task_results"] if r["task_id"] == TASK) + require(all(row["metrics"][k] == v for k, v in projected["metrics"].items()), "Endpoint projection changed") + card_path = ROOT / "configs/forge/tasks" / (TASK + ".json") + card = load(card_path) + frozen_card_bytes = subprocess.check_output(["git", "show", SOURCE + ":" + str(card_path.relative_to(ROOT))], cwd=ROOT) + require(card_path.read_bytes() == frozen_card_bytes, "Current task differs from executed declaration") + evidence = row["evidence"] + n = row["recipe"]["num_particles"] + measurement = card["evaluation"]["measurement"] + mode_min = math.ceil(n * measurement["min_mode_fraction"]) + hq_min = math.ceil(n * measurement["hq_min"]) + observations = evidence["observations"] + require([r["step"] for r in observations] == list(range(25, 601, 25)), "Wrong observation cadence") + require(row["execution_path"] == "public_trainer" and row["rng"]["seed"] == 0, "Wrong public API/seed") + require(row["gate_status"] == projected["gate_status"] == "FAIL", "Original FAIL changed") + guards = evidence["guards"] + require(guards["all_finite"] and guards["unintended_rng_deviations"] == 0, "Execution guard failed") + require(guards["optimizer_updates"] == dict(discriminator=600, generator=600, prior=600), "Wrong update budget") + require(evidence["sampling_law"] == "enumerated_prior_without_output_noise" and evidence["eval_output_noise"] == "clean", "Wrong sampling") + inventory = load(ROOT / "reports/forge/technique-inventory.json") + leader = next(r for r in inventory["rows"] if r.get("candidate_id") == CANDIDATE) + require(leader["candidate_revision"] == REVISION and leader["bindings"]["source_origin_commit"] == SOURCE, "Selected leader changed") + contract_id = leader["bindings"]["task_contracts"][TASK] + contract = inventory["task_contracts"][contract_id] + require(contract["host_adaptation"]["host_definition"] == evidence["host"]["definition"], "Host definition changed") + derived = [] + for point in observations: + counts = [] + for field in ("mode_fractions", "quality_mode_fractions"): + fractions = point[field] + require(len(fractions) == measurement["modes"], "Wrong fraction dimensions") + require(all(0 <= f <= 1 and abs(n*f-round(n*f)) < 1e-10 for f in fractions), "Nonintegral particle counts") + counts.append([round(n*f) for f in fractions]) + assigned, clean = counts + require(sum(assigned) == n and all(a >= q for a, q in zip(assigned, clean)), "Invalid clean/assigned partition") + require(point["hq"] == sum(clean)/n, "HQ does not equal clean fraction") + require(point["modes"] == sum(q >= mode_min for q in clean), "Mode count differs") + tv = sum(abs(a/n-1/len(assigned)) for a in assigned)/2 + require(point["distribution_tv"] == tv, "Distribution TV differs") + passed = point["modes"] >= measurement["modes"] and point["hq"] >= measurement["hq_min"] + derived.append(dict(step=point["step"], assigned=assigned, clean=clean, modes=point["modes"], clean_total=sum(clean), passed=passed)) + passing = [p["step"] for p in derived if p["passed"]] + suffix = 0 + for point in reversed(derived): + if not point["passed"]: + break + suffix += 1 + convergence = projected["evaluator_summary"]["convergence"] + require(len(passing) == convergence["passing_observations"] and suffix == convergence["passing_suffix"], "Archived sustained result differs") + require(row["metrics"] == observations[-1], "Endpoint is not final observation") + media_path = ROOT / "reports/forge/bispf-optimized/quality-media" / (TASK + ".json") + media = load(media_path) + gif_path = media_path.with_suffix(".gif") + require(sha(gif_path.read_bytes()) == media["gif_sha256"], "Published actual-training GIF changed") + require(media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0, "Media execution changed") + require(list(media["source_inputs"].values()) == [evidence["saved_observer_outputs"]["sha256"]], "Media belongs to another output tensor") + source_files = ["benchmarks/transfer_suite/image_tasks.py", "experiments/forge/adapters.py", "particlegan/recipes.py", "particlegan/training.py", "particlegan/bispf.py", "particlegan/optim/dualnorm.py"] + source_hashes = {name: sha(subprocess.check_output(["git", "show", SOURCE + ":" + name], cwd=ROOT)) for name in source_files} + milestones = {25, 300, 350, 375, 400, 500, 550, 575, 600} + return dict(schema_version=1, task_id=TASK, scope="zero_training_archived_observation_audit", audit_status="PASS", original_gate="FAIL", qualification_input=False, + training_updates_added=0, sampling_draws_added=0, original_readout=dict(original_path=archive["path"], inspected_path=str(path), sha256=sha(raw), bytes=len(raw)), + candidate=dict(id=CANDIDATE, revision=REVISION, executed_commit=SOURCE, source_digest=compact["provenance"]["source_digest"], attempt_id=attempt, canonical_result_hash=compact["provenance"]["canonical_result_hash"]), + task_contract=dict(sha256=contract_id, contract=contract), effective_recipe=row["recipe"], prior=row["prior"], prior_policy=evidence["prior_policy"], initialization=row["initialization"], + streams=dict(seed=row["rng"]["seed"], version=row["rng"]["version"], checkpoint_stream_state_sha256=evidence["provenance_checkpoint"]["named_stream_state_sha256"], checkpoint_sha256=evidence["provenance_checkpoint"]["sha256"], unintended_deviations=guards["unintended_rng_deviations"]), + metrics=row["metrics"], checks=dict(observations_checked=len(observations), minimum_clean_per_mode=mode_min, minimum_total_clean=hq_min, passing_observations=len(passing), passing_suffix=suffix, required_suffix=measurement["minimum_stable_checks"], maximum_modes=max(p["modes"] for p in derived), maximum_clean_total=max(p["clean_total"] for p in derived), first_all_modes_step=next((p["step"] for p in derived if p["modes"] == measurement["modes"]), None), final_assigned_counts=derived[-1]["assigned"], final_clean_counts=derived[-1]["clean"]), + selected_milestones=[p for p in derived if p["step"] in milestones], execution_guards=guards, + inputs=dict(compact_receipt=dict(path=str(compact_path.relative_to(ROOT)),sha256=sha(compact_path.read_bytes())), task_declaration=dict(path=str(card_path.relative_to(ROOT)),sha256=sha(card_path.read_bytes())), actual_training_gif=dict(path=str(gif_path.relative_to(ROOT)),sha256=media["gif_sha256"], saved_samples_sha256=evidence["saved_observer_outputs"]["sha256"]), frozen_source_files=source_hashes), + limits=["Counts derived from original API metric fractions, not newly evaluated pixels.", "No full original envelope regrade, training or qualification update.", "Saved image tensor and trained G/D checkpoints were not located; source hashes and receipts do not supply gradient evidence.", "Milestones describe observations every 25 updates; intermediate acquisition/loss is unknown."]) + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--readout", type=Path, required=True) + parser.add_argument("--output", type=Path, required=True) + args = parser.parse_args() + result = audit(args.readout) + args.output.parent.mkdir(parents=True, exist_ok=True) + args.output.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + print(json.dumps(dict(task=TASK, audit=result["audit_status"], original_gate=result["original_gate"], checks=result["checks"]), sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/rotated100/README.md b/reports/forge/leading-failures-20261022/rotated100/README.md new file mode 100644 index 000000000..67cb54164 --- /dev/null +++ b/reports/forge/leading-failures-20261022/rotated100/README.md @@ -0,0 +1,119 @@ +# BISPF investigation: rotated100 + +Why does the selected BISPF recipe fail the 25-degree rotated 100-mode task, and do missing shape metrics hide an evaluator rotation issue? + +**Original verdict: FAIL, unchanged.** The failure is already decisive before any shape comparison: clean holdout precision is 0.22301 against ≥0.97 and mass TV is 0.11132 against ≤0.06. Every final 20k check and the 100k holdout has undefined conditional shape fields. The frozen evaluator returns those fields as null when at least one of the 100 modes receives fewer than two in-radius samples. Null means insufficient conditional evidence; it never means zero error or a passing shape gate. + +## Exact evidence and gates + +This concerns the selected global recipe **`bispf-optimized-quintic-v1`**, revision +`8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`, attempt `97be11c288dc45bb9a98d1f1165ffbf0`, +at source `d9d72d53761c898bce20102e1995fc3d899c1447` / digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +The executed revision-11 policy holds this test; the inventory keeps the older +revision-9 full-suite comparison failure visible. Holding is not a PASS. +The [ordinary quality publication](../../bispf-optimized/quality.json) owns the +reported numerical summary. Older numbers in the problem list and BISPF README +belong to earlier source-bound cohorts and are not this selected run. + +Target: The same 100 equal-weight isotropic Gaussians as grid100, with all centers rotated 25° and common standard deviation 0.03. G and D are three-hidden-layer width-128 LeakyReLU MLPs; +D adds two axis-aligned Fourier frequencies. The task fixes 20,000 initial learned +MoG centers, latent dimension 2, kernel σ=0.025, uniform masses, no standardization, +batch 2,048, protocol seed 0 and the public deterministic orthogonal initializer. +The recipe learns prior locations with SBNP regularization weight 0.01; it uses +non-saturating GAN loss, DualNorm, base LR 0.012, D multiplier 1.5 and prior multiplier +2.5. Input/output noise and EMA decay are zero. Architecture, prior width/capacity, +public sampling, 7,000-update budget and cadence are not changed by this investigation. + +Clean live sampling must pass coverage (including all 100 modes, precision ≥0.97, +mass TV ≤0.1, per-mode mass/eigenvalue/radius limits), the four stricter accuracy +bounds below, all five final 20k checks at updates 6000/6250/6500/6750/7000, and a +separate 100k holdout. [The audit receipt](audit-result.json) retains the complete +frozen gate declaration. The actual run performs 7,000 D/G/prior updates each; +35 evaluation RNG audits report zero unintended deviations. + +| Independent holdout metric | Observed | Gate | Result | +| --- | ---: | ---: | --- | +| Precision (within 0.09 of a center) | 0.22301 | ≥0.97 | FAIL | +| Mass TV | 0.11132 | ≤0.06 | FAIL | +| Center RMS / target σ | undefined | ≤0.2 | undefined → FAIL | +| Absolute conditional trace bias | undefined | ≤0.1 | undefined → FAIL | +| Radial KS | undefined | ≤0.04 | undefined → FAIL | +| Finite samples | 100,000/100,000 | all | PASS | + +The terminal passing count is **0/5**. Terminal precision ranges from +0.2047 to 0.23085; conditional shape is +undefined in 5/5 checks. Undefined conditional metrics +are produced by `hq_counts < 2` for any component in the +[frozen accuracy source](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/toy100/accuracy.py). +Do not infer an exact missing-mode count from that aggregate condition. +The same run's true-target holdout passes: precision 0.98914, +mass TV 0.01226, center RMS 0.041737435σ, +trace bias 0.0002794405, radial KS 0.0015132736. + +## What the source does and does not explain + +At least one component remains poorly populated inside the quality radius even with 100k draws; the receipt does not identify which component or prove zero raw occupancy. The true-target oracle passes the rotated evaluator. The critic appends axis-aligned sin/cos features at π and 2π, so its representation is not structurally rotation equivariant. That is a competing explanation to investigate, not a causal conclusion from comparing two separately trained tasks. The unrotated task also fails. + +The [frozen host adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) +and [optimizer dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py) +exclude the quintic optimization as an exercised mechanism here: both host +networks contain only Linear/LeakyReLU/Sequential modules. The quintic delta dispatches +only to eligible CUDA convolution groups (>32 channels); there are **zero** such +groups. Dense and sampled-prior update laws retain native behavior. The frozen +`Recipe.make_loss` selects ordinary non-saturating loss for this receipt; the +presence of a Sinkhorn-relativistic class elsewhere in the API does not make it +the executed generator objective. Sinkhorn remains part of the critic penalty. + +The [frozen penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py) +applies on all 7,000 updates. Its dense-multimode thermal branch +is eligible from update 1000 for batch 2,048, but the advertised late harmonic +capture lock requires real batch ≤512 and cannot run on this task. Eligibility +is a source fact; the actual residual/thermal scale, local critic field and relative +adversarial/SBNP gradients cannot be recovered from aggregate endpoint metrics. +No claim that cooling, SBNP, the critic representation or the smooth generator +caused the observed trajectory is established here. + +The [earlier disposition audit](../../test-dispositions-20261015/README.md#grid100) +records completed failures, longer-budget BISPF plateaus and historically passing +noisy/fixed-particle cohorts. Those budgets and serving/prior contracts remain +separate; neither longer training nor added evaluation noise is an authorized repair +of this selected clean 7k cell. Its [source-bound original training GIF](../../bispf-optimized/quality-media/rotated100.gif) +and [media receipt](../../bispf-optimized/quality-media/rotated100.json) illustrate the +actual 34 saved observations, with zero new updates or sampling draws. Numerical +metrics above determine the result. The [current inventory](../../technique-inventory.md) +remains the single leaderboard; no second board or qualification change is introduced. + +## Bounded next diagnostic and current blocker + +Test scorer geometry before a rotation-specific trainer change. Recover the exact final holdout cloud, inverse-rotate its coordinates by 25° and evaluate against grid100 with the frozen evaluator; compare with the original cloud scored as rotated100. Repeat on the saved target control and on a deliberately displaced target control. Declare absolute differences ≤1e-4 for precision, mass TV and every defined accuracy metric, and identical defined/null patterns; a larger difference falsifies scorer rotational consistency and warrants source inspection. If consistency holds, it rejects this scorer explanation only; critic-feature causation remains untested. Cap this at one saved 100k cloud and its saved target control, 0 updates and 120 CPU seconds. Never substitute the transformed cohort for the original grade. + +The byte-exact full readout is available at +`/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`, +SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`; it reproduces the published endpoint, +terminal summary, initialization and stream receipts. The referenced original +`rotated100/training-state.pt` and `holdout_samples.npz` are absent at their recorded +paths and were not found in the mounted `ParticleGAN-forge` tree. Their exact +expected hashes, original paths and final named-stream hashes are retained in the +audit receipt. The mounted full readout is not a tensor/checkpoint archive. Recover +and hash-verify the original artifact tree before any saved-state or sample-cloud +probe; absence blocks that analysis and does not authorize replay. No new training, +seed study, continuation, trainer delta, qualification or promotion was performed. + +## Reproduce the zero-training audit + +From this branch's repository root: + +```sh +python reports/forge/leading-failures-20261022/rotated100/audit.py \ + --archive /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json +``` + +[audit.py](audit.py) checks the selected row and exact archive digest, extracts source +from the pinned Git commit, executes only its scalar accuracy predicate on existing +measurements, checks dense-only dispatch/thermal eligibility, verifies the training +GIF and compares the compact [audit result](audit-result.json). It imports no trainer, +loads no tensor pickle and performs zero optimizer updates or sampling draws. +The audit's PASS means evidence consistency; the scientific test remains FAIL. +Raw execution output belongs in local `runs/forge/leading-failures-20261022/rotated100/audit.log` +for easy `tail -f`; it is not committed. Missing exact Git objects or archive bytes +fail explicitly. No new toy test or synthetic training footage is introduced. diff --git a/reports/forge/leading-failures-20261022/rotated100/audit-result.json b/reports/forge/leading-failures-20261022/rotated100/audit-result.json new file mode 100644 index 000000000..20a9508bf --- /dev/null +++ b/reports/forge/leading-failures-20261022/rotated100/audit-result.json @@ -0,0 +1,289 @@ +{ + "accuracy_limit_ratios": { + "abs_cov_trace_bias": null, + "center_rms_sigma": null, + "mass_tv": 1.8553333333333333, + "radial_ks": null + }, + "actual_training_gif": { + "observations": 34, + "path": "reports/forge/bispf-optimized/quality-media/rotated100.gif", + "sha256": "9fdbcfca657e49b401badd12a15826db73f3e3f959ca2320cbeaff6beeef74dd", + "source_attempt": "97be11c288dc45bb9a98d1f1165ffbf0" + }, + "attempt_id": "97be11c288dc45bb9a98d1f1165ffbf0", + "audit_status": "PASS", + "candidate_id": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "checkpoint_receipt": { + "path": "rotated100/training-state.pt", + "sha256": "8cb4a68b3fe333afd4cb4b2bafab50b0151ae197428718d1549b7cdbd5d3c992", + "state_sha256": "208bda5af61e530e23b140b5ca3be723d7a7828d578a9a309eea133a5ffaff08" + }, + "frozen_source_sha256": { + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/problems.py": "2581374d451ed9147c031dfcdfbe9e2eea83e41ba49c2b8945b6e729ede26c9d", + "configs/forge/tasks/rotated100.json": "5f8b990a7031ea63d618eb0a8c08d5738d409fd63415f7d8c24cd12842fd2553", + "experiments/forge/adapters.py": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3", + "experiments/forge/api.py": "efb8b114f3a967a2e54daa6d4f831debeb06861d5ccefd89a19615cf618305b3", + "lib/toy_models.py": "70f32797882de0dc88085afcf5e05821b65eb5f248c9690818a2494225d782a3", + "particlegan/bispf.py": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58", + "particlegan/optim/dualnorm.py": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9", + "particlegan/recipes.py": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621" + }, + "holdout_metrics": { + "abs_cov_trace_bias": null, + "accuracy_pass": false, + "accuracy_score": null, + "all_finite": true, + "center_max_sigma": null, + "center_rms_sigma": null, + "cov_frob_rms": null, + "cov_trace_bias": null, + "frozen_pass": false, + "mass_tv": 0.11131999999999999, + "n": 100000, + "passed": false, + "precision": 0.22301, + "precision_gap": 0.7658810034617577, + "problem": "rotated100", + "protocol": "toy100-accuracy-v1", + "radial_ks": null, + "valid_n": 100000, + "within_radius_n": 22301 + }, + "host_mechanisms": { + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": 7000, + "dense_multimode_endpoint_eligible": true, + "eligible_convolution_groups": 0, + "harmonic_capture_endpoint_eligible": false, + "module_constructors": { + "SimpleMLPDiscriminator": [ + "LeakyReLU", + "Linear", + "Sequential" + ], + "SimpleMLPGenerator": [ + "LeakyReLU", + "Linear", + "Sequential" + ] + }, + "quintic_delta_exercised": false, + "selected_objective": "non_saturating" + }, + "initial_model_sha256": { + "discriminator": "de6b6583b0bb8fc3ddd7b0211be2d2744074dceef120ecba24618cd7a291fa01", + "generator": "07229cdb3ae86f0746c5de25bd61b4637020c104fbf6180c141220491a85f247", + "prior": "41246d315685e3e3405fe86d0ef74655a7aceed12d6a4a4d291501321e12ba6f" + }, + "input_sha256": { + "media_receipt": "c1661afb82f52a4c61665e8446c466dcb1dc14871d7457188fffb16d188ef4fd", + "original_readout": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe", + "quality.json": "5eb3bcf2986af87ed836c99e48e376082a3dee6ceda30bbd4c4635b3e3652cbe" + }, + "named_stream_final_sha256": { + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "6f6b0084fa0b0e8de78f282e0570952e99c0f80d4defb68f4c9bcb462cf0cc8f", + "[\"eval\",\"ema\",\"samples\",\"cuda:0\"]": "d47b07eea9b367b10c27d6dd425b35b0887c124d29fd9b47a17d7163ff48b8e7", + "[\"eval\",\"live\",\"samples\",\"cuda:0\"]": "b24e7622a63d3deed0b9cdbb446e98b989052a9946b94bb4ea2b008b74d3e0f0", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "d6538518c0f63d30d7b0320c19bd27b89841d2ee79ade37b4d1db03a4613a03d", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "c182b1f84ab2b301e42fbc89450e589a98ec26f1f9c8b42a74d6252622919ca4", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "6e6dc7587577f9448f8fbc6f75d00ab7c8eecead1d77cd915b302979b6381702", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "238f7e13e199cd1c68980b934f7383da49ea0ca670f7b732408a006580edc5dc", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "826b7485f709fa1b4d3226d348037d838bed099d8d694a2eb3642fbe58b531f7" + }, + "optimizer_updates_added": 0, + "oracle_metrics": { + "abs_cov_trace_bias": 0.0002794404987662702, + "accuracy_pass": true, + "accuracy_score": 0.11341168891305634, + "all_finite": true, + "center_max_sigma": 0.10091261259577183, + "center_rms_sigma": 0.04173743532813978, + "cov_frob_rms": 0.056102729309039354, + 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"original_receipt_provenance": { + "canonical_result_hash": "48333dc5d3b20d4b4df8433c5c35f9a1c91e000c999ddac24d1e1ab4ed58cde0", + "original_files": { + "evidence": { + "path": "reports/forge/attempts/97be11c288dc45bb9a98d1f1165ffbf0/evidence.json", + "sha256": "7633997c84728cbaea117bd262ef73eca23d1606d45ce1b64d1c3aaa7dde00bf" + }, + "request": { + "path": "reports/forge/attempts/97be11c288dc45bb9a98d1f1165ffbf0/request.json", + "sha256": "e8d06d90dcc779b002d784707cef9501aa2ef98ac7314742377e25c456ca3b01" + }, + "result": { + "path": "reports/forge/attempts/97be11c288dc45bb9a98d1f1165ffbf0/result.json", + "sha256": "f013934f67b0b124416ec5471185bdb1db4dfadd0061f041e60824453735202a" + } + }, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447" + }, + "precision_shortfall": 0.7469899999999999, + "protocol": { + "evaluation": { + "accuracy_limits": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "coverage_evaluator": "benchmarks.toy100.gate:evaluate_suite", + "coverage_thresholds": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + }, + "early_eval_steps": [ + 0, + 1, + 10, + 25, + 50, + 100 + ], + "eval_interval": 250, + "eval_output_noise": "clean", + "eval_samples": 20000, + "evaluator": "benchmarks.toy100.accuracy_gate:evaluate_suite", + "evaluator_revision": { + "added_source_members": [ + "benchmarks/toy100/train.py", + "benchmarks/toy100/__main__.py", + "benchmarks/toy100/device.py", + "benchmarks/toy100/affine_replay.py", + "benchmarks/toy_suite.py" + ], + "change": "Bind device-correct legacy fixtures and experiment RNG preservation plus recorded-device/initializer affine replay and receipt validation. No EMA-idle hooks are adopted. Architecture, target/data/prior/serving laws, optimizer policy, budgets, cadence and numerical gates are unchanged. Archived declarations and source-bound results retain their original identities.", + "id": "pr399-host-device-replay-source-only-v1", + "previous_revision": { + "change": "Validate explicit CLI evaluation-noise overrides; metric kernels, thresholds, clean sampling law and budgets unchanged.", + "id": "native100-manifest-sampling-v2", + "previous_gate_sha256": "55f6ef733f0b10f4c6ac05eb5ad9d30320d807ff520ea1b41c75d2d0b41e406a" + }, + "previous_source_sha256": { + "benchmarks/toy100/gate.py": "2ddadf56a4ccd7645c8b4e391373818b1113fb6113a9c691310fb162684058e6" + } + }, + "holdout_samples": 100000, + "kind": "native_accuracy", + "minimum_stable_checks": 5, + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise", + "scoring_weights": "live", + "sources": { + "benchmarks/toy100/__main__.py": "50b9d164a7aae10f8dc20684dbc7be86e5f19152d989ad1247d2a5b9335545ce", + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/affine_replay.py": "6850a45ad099018aaf12126b998907e6eea0471de0a28b73a74eb5cac229b6c8", + "benchmarks/toy100/device.py": "7fa0f53db44e8824d3497b471e9fe8db56cbf8b4e02ddf997f65beed63f81911", + "benchmarks/toy100/gate.py": "561717e0a6c981b20efdf4a1d41e2cf9cace0c8c619546c4bf7f52748e09fbc3", + "benchmarks/toy100/metrics.py": "a7fbef19082f8470eb392948da52a336a90a3e99c6b3b893343a9e75bcda9c7b", + "benchmarks/toy100/train.py": "d58a9a9862fbbdf31a53302fcee5d986ea4b10b5c337d901dbe51af2ca5ee649", + "benchmarks/toy_suite.py": "8ce629b52ed6c7a52d41e2a4d632dc296168290f4a26949c7e705c2207a2beaf" + } + }, + "initial_prior": { + "kind": "mog", + "sigma": 0.025, + "standardize": false + }, + "initializer": "deterministic_orthogonal", + "model": { + "fourier": 2, + "hidden": 128, + "layers": 3 + }, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "resources": { + "batch_size": 2048, + "num_particles": 20000, + "z_dim": 2 + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise" + }, + "seed": 0, + "updates": 7000 + }, + "qualification_input": false, + "qualification_reuse": false, + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "rng_audits": { + "checks": 35, + "unintended_deviations": 0 + }, + "sampling_draws_added": 0, + "saved_state_probe": "BLOCKED", + "schema": "bispf_native_failure_audit_v1", + "scientific_status": "FAIL", + "source_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "task_id": "rotated100", + "terminal_summary": { + "mass_tv_range": [ + 0.1121, + 0.12085000000000001 + ], + "passing": 0, + "precision_range": [ + 0.2047, + 0.23085 + ], + "steps": [ + 6000, + 6250, + 6500, + 6750, + 7000 + ], + "total": 5, + "undefined_shape_checks": 5 + } +} diff --git a/reports/forge/leading-failures-20261022/rotated100/audit.py b/reports/forge/leading-failures-20261022/rotated100/audit.py new file mode 100644 index 000000000..63ee167d4 --- /dev/null +++ b/reports/forge/leading-failures-20261022/rotated100/audit.py @@ -0,0 +1,209 @@ +"""Audit one frozen BISPF failure with zero optimizer updates or sampling draws.""" +from __future__ import annotations + +import argparse +import ast +import hashlib +import json +import math +from pathlib import Path +import subprocess +from typing import Any, Mapping + +TASK = "rotated100" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +ARCHIVE_SHA = "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" +DEFAULT_ARCHIVE = Path("/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json") +HERE = Path(__file__).resolve().parent +ROOT = HERE.parents[3] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def read(path): + return json.loads(path.read_text()) + + +def source(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def audit(archive): + original_bytes = archive.read_bytes() + assert sha(original_bytes) == ARCHIVE_SHA, "original readout digest differs" + original = json.loads(original_bytes) + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = read(quality_path) + assert quality["raw_readout_archive"]["sha256"] == ARCHIVE_SHA + row = next(r for r in quality["rows"] if r["task"] == TASK) + raw = next(r for r in original["task_results"] if r["task_id"] == TASK) + summary = next(r for r in quality["attempt_summaries"] if r["attempt_id"] == row["attempt"]) + assert raw["_attempt_id"] == row["attempt"] + assert raw["metrics"] == row["metrics"] + assert summary["provenance"]["source_origin_commit"] == SOURCE + selected = next(r for r in read(ROOT / "reports/forge/technique-inventory.json")["rows"] + if r["trainer_family"] == "bispf") + assert selected["candidate_id"] == quality["candidate"] == "bispf-optimized-quintic-v1" + assert selected["candidate_revision"] == quality["candidate_revision"] + assert next(r for r in selected["tasks"] if r["task_id"] == TASK)["status"] == "FAIL" + paths = [f"configs/forge/tasks/{TASK}.json", "lib/toy_models.py", + "experiments/forge/adapters.py", "experiments/forge/api.py", + "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/bispf.py", "benchmarks/toy100/accuracy.py", + "benchmarks/toy100/accuracy_gate.py", "benchmarks/toy100/problems.py"] + sources = {path: source(path) for path in paths} + task = json.loads(sources[paths[0]]) + assert task["execution"]["model"] == {"hidden": 128, "layers": 3, "fourier": 2} + assert task["execution"]["resources"] == {"batch_size": 2048, "num_particles": 20000, "z_dim": 2} + assert raw["initial_prior"] == task["execution"]["prior"] + assert raw["initializer"] == task["execution"]["initializer"] == "deterministic_orthogonal" + assert raw["recipe"]["prior_regularizer"] == "sbnp" + assert raw["evidence"]["prior_policy"]["update"] == "learned" + assert raw["recipe"]["loss"] == "non_saturating" + assert raw["recipe"]["output_noise_std"] == raw["recipe"]["ema_decay"] == 0.0 + assert raw["cost"]["completed_steps"] == task["execution"]["steps"] == 7000 + assert row["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + + # Execute the exact frozen scalar accuracy predicate, without importing a + # trainer or drawing new samples. Coverage still belongs to its original grade. + accuracy_tree = ast.parse(sources["benchmarks/toy100/accuracy.py"]) + predicate = next(n for n in accuracy_tree.body if isinstance(n, ast.FunctionDef) + and n.name == "passes_accuracy") + namespace = {"math": math, "Mapping": Mapping, "Any": Any, "EVAL_N": 20000, + "LIMITS": task["evaluation"]["accuracy_limits"]} + exec(compile(ast.Module(body=[predicate], type_ignores=[]), "frozen_accuracy.py", "exec"), namespace) + passes_accuracy = namespace["passes_accuracy"] + result = raw["evaluator_result"] + terminal = result["terminal_checks"] + assert [t["step"] for t in terminal] == [6000, 6250, 6500, 6750, 7000] + assert not any(passes_accuracy(t["metrics"]) for t in terminal) + assert not passes_accuracy(result["holdout_metrics"]) + assert passes_accuracy(result["oracle_metrics"]) + assert result["oracle_metrics"]["passed"] is True + assert result["coverage_status"] == result["status"] == row["status"] == "FAIL" + for check in terminal: + assert check["passed"] == (check["metrics"]["frozen_pass"] and passes_accuracy(check["metrics"])) + for key, value in row["metrics"].items(): + assert value == result["holdout_metrics"][key] + + # Inspect the exact host classes and optimizer dispatch. No weights or + # synthetic optimizer updates are constructed as a substitute for training. + model_tree = ast.parse(sources["lib/toy_models.py"]) + constructors = {} + for name in ("SimpleMLPGenerator", "SimpleMLPDiscriminator"): + cls = next(n for n in model_tree.body if isinstance(n, ast.ClassDef) and n.name == name) + init = next(n for n in cls.body if isinstance(n, ast.FunctionDef) and n.name == "__init__") + constructors[name] = sorted({n.func.attr for n in ast.walk(init) if isinstance(n, ast.Call) + and isinstance(n.func, ast.Attribute) and isinstance(n.func.value, ast.Name) + and n.func.value.id == "nn"}) + assert not any("Conv" in kind for kind in constructors[name]) + optimizer_text = sources["particlegan/optim/dualnorm.py"].decode() + assert 'torch.nn.Conv2d, torch.nn.ConvTranspose2d' in optimizer_text + assert 'elif parameter.ndim == 2:' in optimizer_text + recipe_text = sources["particlegan/recipes.py"].decode() + assert 'self.effective_critic_formulation == "bispf" and self.loss == "relativistic"' in recipe_text + + # Evaluate frozen branch eligibility at the endpoint. Residual-dependent + # branch outputs are unknown without the actual checkpoint and inputs. + bispf_tree = ast.parse(sources["particlegan/bispf.py"]) + kernel = next(n for n in bispf_tree.body if isinstance(n, ast.ClassDef) and n.name == "_BISPFPenaltyKernel") + penalty = next(n for n in kernel.body if isinstance(n, ast.FunctionDef) and n.name == "penalty") + env = {"is_discrete_simplex": False, "is_image_tensor": False, + "b_r": 2048, "b_f": 2048, "dim": 2, "call_idx": 7000} + for name in ("is_continuous_flow", "is_dense_multimode"): + node = next(n for n in penalty.body if isinstance(n, ast.Assign) + and any(isinstance(t, ast.Name) and t.id == name for t in n.targets)) + env[name] = eval(compile(ast.Expression(node.value), "frozen_branch.py", "eval"), {}, env) + capture = next(n for n in penalty.body if isinstance(n, ast.If) + and "call_idx >= 1650" in ast.unparse(n.test)) + harmonic_eligible = eval(compile(ast.Expression(capture.test), "frozen_branch.py", "eval"), {}, env) + assert env["is_dense_multimode"] is True and harmonic_eligible is False + + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = read(media_path) + gif_path = media_path.with_suffix(".gif") + assert sha(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + guards = raw["evidence"]["guards"] + assert guards["all_finite"] is True and guards["unintended_rng_deviations"] == 0 + assert guards["optimizer_updates"] == {"discriminator": 7000, "generator": 7000, "prior": 7000} + assert len(raw["evidence"]["rng_audits"]) == 35 + assert sum(a["unintended_rng_deviations"] for a in raw["evidence"]["rng_audits"]) == 0 + checkpoint = raw["evidence"]["checkpoint"] + artifact_root = Path(raw["evidence"]["artifact_root"]) + original_paths = {"checkpoint": artifact_root / checkpoint["path"], + "holdout_samples": artifact_root / TASK / "holdout_samples.npz"} + availability = {} + manifest = raw["evidence"]["artifact_manifest"]["files"] + for name, path in original_paths.items(): + relative = str(path.relative_to(artifact_root)) + expected = manifest[relative]["sha256"] + present = path.is_file() + if present: + assert sha(path.read_bytes()) == expected, f"{name} digest differs" + availability[name] = {"original_path": str(path), "sha256": expected, + "status": "AVAILABLE" if present else "MISSING"} + limits = task["evaluation"]["accuracy_limits"] + holdout = result["holdout_metrics"] + return { + "schema": "bispf_native_failure_audit_v1", "task_id": TASK, "audit_status": "PASS", + "scientific_status": "FAIL", "qualification_input": False, "qualification_reuse": False, + "optimizer_updates_added": 0, "sampling_draws_added": 0, + "candidate_id": quality["candidate"], "candidate_revision": quality["candidate_revision"], + "source_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "attempt_id": row["attempt"], + "input_sha256": {"quality.json": sha(quality_path.read_bytes()), "original_readout": ARCHIVE_SHA, + "media_receipt": sha(media_path.read_bytes())}, + "frozen_source_sha256": {path: sha(data) for path, data in sources.items()}, + "original_receipt_provenance": summary["provenance"], + "protocol": {"seed": 0, "initializer": raw["initializer"], + "model": task["execution"]["model"], "resources": task["execution"]["resources"], + "initial_prior": raw["initial_prior"], "prior_update": "learned", + "prior_regularizer": "sbnp", "prior_reg": raw["recipe"]["prior_reg"], + "sampling": row["sampling"], "updates": 7000, + "evaluation": task["evaluation"]}, + "initial_model_sha256": {k: v["initial_state_sha256"] for k, v in raw["initialization"].items()}, + "named_stream_final_sha256": raw["evidence"]["provenance_checkpoint"]["named_stream_state_sha256"], + "rng_audits": {"checks": 35, "unintended_deviations": 0}, + "terminal_summary": {"steps": [t["step"] for t in terminal], "passing": 0, "total": 5, + "precision_range": [min(t["metrics"]["precision"] for t in terminal), max(t["metrics"]["precision"] for t in terminal)], + "mass_tv_range": [min(t["metrics"]["mass_tv"] for t in terminal), max(t["metrics"]["mass_tv"] for t in terminal)], + "undefined_shape_checks": sum(t["metrics"]["center_rms_sigma"] is None for t in terminal)}, + "holdout_metrics": holdout, "oracle_metrics": result["oracle_metrics"], + "accuracy_limit_ratios": {key: holdout[key] / value if holdout[key] is not None else None + for key, value in limits.items()}, + "precision_shortfall": task["evaluation"]["coverage_thresholds"]["min_precision"] - holdout["precision"], + "host_mechanisms": {"module_constructors": constructors, "eligible_convolution_groups": 0, + "quintic_delta_exercised": False, "selected_objective": "non_saturating", + "dense_multimode_endpoint_eligible": env["is_dense_multimode"], + "harmonic_capture_endpoint_eligible": harmonic_eligible, + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": guards["mechanism_audit"]["mechanisms"]["critic_penalty"]["applied"]}, + "checkpoint_receipt": checkpoint, "original_artifacts": availability, + "saved_state_probe": "BLOCKED" if not all(p.is_file() for p in original_paths.values()) else "NOT_EXECUTED", + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"], + "source_attempt": row["attempt"], "observations": media["observation_count"]}, + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=DEFAULT_ARCHIVE) + parser.add_argument("--write", action="store_true") + args = parser.parse_args() + result = audit(args.archive) + destination = HERE / "audit-result.json" + if args.write: + destination.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + else: + assert read(destination) == result, "committed audit differs; inspect source and evidence before rewriting" + print(json.dumps({"task": TASK, "audit": result["audit_status"], "scientific_status": "FAIL", + "passing_terminal_checks": "0/5", "saved_state_probe": result["saved_state_probe"], + "updates_added": 0, "samples_added": 0}, sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/staggered100/README.md b/reports/forge/leading-failures-20261022/staggered100/README.md new file mode 100644 index 000000000..b60a2434d --- /dev/null +++ b/reports/forge/leading-failures-20261022/staggered100/README.md @@ -0,0 +1,119 @@ +# BISPF investigation: staggered100 + +Does the selected BISPF staggered-grid failure reflect a global geometric distortion or mode-local mass and shape errors? + +**Original verdict: FAIL, unchanged.** The failure is numerical throughout the final window: all five final checks fail, with precision only 0.3285–0.348. The clean independent holdout fails precision, mass, centering, covariance-trace bias and radial shape while remaining finite. Conditional shape is measurable on all five terminal checks, so absent conditional estimates cannot explain this failure. + +## Exact evidence and gates + +This concerns the selected global recipe **`bispf-optimized-quintic-v1`**, revision +`8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def`, attempt `9a8e496fffff47a68976f46b69b1be2d`, +at source `d9d72d53761c898bce20102e1995fc3d899c1447` / digest `c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213`. +The executed revision-11 policy holds this test; the inventory keeps the older +revision-9 full-suite comparison failure visible. Holding is not a PASS. +The [ordinary quality publication](../../bispf-optimized/quality.json) owns the +reported numerical summary. Older numbers in the problem list and BISPF README +belong to earlier source-bound cohorts and are not this selected run. + +Target: 100 equal-weight isotropic Gaussians of standard deviation 0.03. Adjacent grid rows shift by −0.25/+0.25 in the second coordinate, and first-coordinate spacing contracts by a factor of 0.85. G and D are three-hidden-layer width-128 LeakyReLU MLPs; +D adds two axis-aligned Fourier frequencies. The task fixes 20,000 initial learned +MoG centers, latent dimension 2, kernel σ=0.025, uniform masses, no standardization, +batch 2,048, protocol seed 0 and the public deterministic orthogonal initializer. +The recipe learns prior locations with SBNP regularization weight 0.01; it uses +non-saturating GAN loss, DualNorm, base LR 0.012, D multiplier 1.5 and prior multiplier +2.5. Input/output noise and EMA decay are zero. Architecture, prior width/capacity, +public sampling, 7,000-update budget and cadence are not changed by this investigation. + +Clean live sampling must pass coverage (including all 100 modes, precision ≥0.97, +mass TV ≤0.1, per-mode mass/eigenvalue/radius limits), the four stricter accuracy +bounds below, all five final 20k checks at updates 6000/6250/6500/6750/7000, and a +separate 100k holdout. [The audit receipt](audit-result.json) retains the complete +frozen gate declaration. The actual run performs 7,000 D/G/prior updates each; +35 evaluation RNG audits report zero unintended deviations. + +| Independent holdout metric | Observed | Gate | Result | +| --- | ---: | ---: | --- | +| Precision (within 0.09 of a center) | 0.33617 | ≥0.97 | FAIL | +| Mass TV | 0.12142 | ≤0.06 | FAIL | +| Center RMS / target σ | 1.1428836 | ≤0.2 | FAIL | +| Absolute conditional trace bias | 0.54168964 | ≤0.1 | FAIL | +| Radial KS | 0.369111 | ≤0.04 | FAIL | +| Finite samples | 100,000/100,000 | all | PASS | + +The terminal passing count is **0/5**. Terminal precision ranges from +0.3285 to 0.348; conditional shape is +undefined in 0/5 checks. Undefined conditional metrics +are produced by `hq_counts < 2` for any component in the +[frozen accuracy source](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/toy100/accuracy.py). +Do not infer an exact missing-mode count from that aggregate condition. +The same run's true-target holdout passes: precision 0.98914, +mass TV 0.01226, center RMS 0.041737404σ, +trace bias 0.00027943895, radial KS 0.0015147474. + +## What the source does and does not explain + +The signed conditional covariance-trace bias is +0.54169, meaning the mean in-radius covariance trace is about 1.542 times its truncated-target reference. This is not an untruncated Gaussian width estimate, and the aggregate does not show that every individual mode is broad. Center RMS is 1.14288σ and radial KS is 0.36911. Fixing populations alone cannot satisfy those independent accuracy gates. Per-mode covariances, raw tail structure and a learned global warp remain unidentified without saved samples. + +The [frozen host adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py) +and [optimizer dispatch](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py) +exclude the quintic optimization as an exercised mechanism here: both host +networks contain only Linear/LeakyReLU/Sequential modules. The quintic delta dispatches +only to eligible CUDA convolution groups (>32 channels); there are **zero** such +groups. Dense and sampled-prior update laws retain native behavior. The frozen +`Recipe.make_loss` selects ordinary non-saturating loss for this receipt; the +presence of a Sinkhorn-relativistic class elsewhere in the API does not make it +the executed generator objective. Sinkhorn remains part of the critic penalty. + +The [frozen penalty](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py) +applies on all 7,000 updates. Its dense-multimode thermal branch +is eligible from update 1000 for batch 2,048, but the advertised late harmonic +capture lock requires real batch ≤512 and cannot run on this task. Eligibility +is a source fact; the actual residual/thermal scale, local critic field and relative +adversarial/SBNP gradients cannot be recovered from aggregate endpoint metrics. +No claim that cooling, SBNP, the critic representation or the smooth generator +caused the observed trajectory is established here. + +The [earlier disposition audit](../../test-dispositions-20261015/README.md#grid100) +records completed failures, longer-budget BISPF plateaus and historically passing +noisy/fixed-particle cohorts. Those budgets and serving/prior contracts remain +separate; neither longer training nor added evaluation noise is an authorized repair +of this selected clean 7k cell. Its [source-bound original training GIF](../../bispf-optimized/quality-media/staggered100.gif) +and [media receipt](../../bispf-optimized/quality-media/staggered100.json) illustrate the +actual 34 saved observations, with zero new updates or sampling draws. Numerical +metrics above determine the result. The [current inventory](../../technique-inventory.md) +remains the single leaderboard; no second board or qualification change is introduced. + +## Bounded next diagnostic and current blocker + +Test the narrow claim that a single global affine warp explains the geometry error. Recover the exact 100k saved holdout cloud; deterministically split it in half, fit an evaluator-only affine map from first-half points to their frozen nearest target centers, then evaluate the transformed second half against the unchanged bounds. Keep identity, saved-target and deliberately sheared/translated-target controls. Reject the global-warp explanation if held-out precision remains <0.97 or any accuracy bound fails, and retain the raw original score beside the counterfactual. This uses evaluator-only labels and is never a proposed labeled trainer. Cap it at one saved 100k cloud and its saved target control, 0 updates and 120 CPU seconds; it earns no qualification. + +The byte-exact full readout is available at +`/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json`, +SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`; it reproduces the published endpoint, +terminal summary, initialization and stream receipts. The referenced original +`staggered100/training-state.pt` and `holdout_samples.npz` are absent at their recorded +paths and were not found in the mounted `ParticleGAN-forge` tree. Their exact +expected hashes, original paths and final named-stream hashes are retained in the +audit receipt. The mounted full readout is not a tensor/checkpoint archive. Recover +and hash-verify the original artifact tree before any saved-state or sample-cloud +probe; absence blocks that analysis and does not authorize replay. No new training, +seed study, continuation, trainer delta, qualification or promotion was performed. + +## Reproduce the zero-training audit + +From this branch's repository root: + +```sh +python reports/forge/leading-failures-20261022/staggered100/audit.py \ + --archive /mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json +``` + +[audit.py](audit.py) checks the selected row and exact archive digest, extracts source +from the pinned Git commit, executes only its scalar accuracy predicate on existing +measurements, checks dense-only dispatch/thermal eligibility, verifies the training +GIF and compares the compact [audit result](audit-result.json). It imports no trainer, +loads no tensor pickle and performs zero optimizer updates or sampling draws. +The audit's PASS means evidence consistency; the scientific test remains FAIL. +Raw execution output belongs in local `runs/forge/leading-failures-20261022/staggered100/audit.log` +for easy `tail -f`; it is not committed. Missing exact Git objects or archive bytes +fail explicitly. No new toy test or synthetic training footage is introduced. diff --git a/reports/forge/leading-failures-20261022/staggered100/audit-result.json b/reports/forge/leading-failures-20261022/staggered100/audit-result.json new file mode 100644 index 000000000..401b266f4 --- /dev/null +++ b/reports/forge/leading-failures-20261022/staggered100/audit-result.json @@ -0,0 +1,289 @@ +{ + "accuracy_limit_ratios": { + "abs_cov_trace_bias": 5.416896412783327, + "center_rms_sigma": 5.7144180578860215, + "mass_tv": 2.023666666666667, + "radial_ks": 9.22777491544903 + }, + "actual_training_gif": { + "observations": 34, + "path": "reports/forge/bispf-optimized/quality-media/staggered100.gif", + "sha256": "5a225b92698191d3ee6f68fa3a9780d471674c268b9768cb5cdac494eacf8226", + "source_attempt": "9a8e496fffff47a68976f46b69b1be2d" + }, + "attempt_id": "9a8e496fffff47a68976f46b69b1be2d", + "audit_status": "PASS", + "candidate_id": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "checkpoint_receipt": { + "path": "staggered100/training-state.pt", + "sha256": "f6c432a052efe2354598120fe49ceb33d8822260d413b1b2a8d99d0f325cf7b6", + "state_sha256": "fb4c5335a316d25f08981d93fa6eaea379c5df3ac598a710d3d72315712318c7" + }, + "frozen_source_sha256": { + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/problems.py": "2581374d451ed9147c031dfcdfbe9e2eea83e41ba49c2b8945b6e729ede26c9d", + "configs/forge/tasks/staggered100.json": "a4b20718512db5cb3193a7a919095651ff179fbc6eea4977b5bc54c1a145541f", + "experiments/forge/adapters.py": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3", + "experiments/forge/api.py": "efb8b114f3a967a2e54daa6d4f831debeb06861d5ccefd89a19615cf618305b3", + "lib/toy_models.py": 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"host_mechanisms": { + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": 7000, + "dense_multimode_endpoint_eligible": true, + "eligible_convolution_groups": 0, + "harmonic_capture_endpoint_eligible": false, + "module_constructors": { + "SimpleMLPDiscriminator": [ + "LeakyReLU", + "Linear", + "Sequential" + ], + "SimpleMLPGenerator": [ + "LeakyReLU", + "Linear", + "Sequential" + ] + }, + "quintic_delta_exercised": false, + "selected_objective": "non_saturating" + }, + "initial_model_sha256": { + "discriminator": "de6b6583b0bb8fc3ddd7b0211be2d2744074dceef120ecba24618cd7a291fa01", + "generator": "07229cdb3ae86f0746c5de25bd61b4637020c104fbf6180c141220491a85f247", + "prior": "41246d315685e3e3405fe86d0ef74655a7aceed12d6a4a4d291501321e12ba6f" + }, + "input_sha256": { + "media_receipt": "4ce18e5ffbe90521816bb53625fd40230772814a01f1166d7a7140d0bef07f5f", + "original_readout": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe", + "quality.json": 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"c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "238f7e13e199cd1c68980b934f7383da49ea0ca670f7b732408a006580edc5dc", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "826b7485f709fa1b4d3226d348037d838bed099d8d694a2eb3642fbe58b531f7" + }, + "optimizer_updates_added": 0, + "oracle_metrics": { + "abs_cov_trace_bias": 0.0002794389468916414, + "accuracy_pass": true, + "accuracy_score": 0.11342085651107006, + "all_finite": true, + "center_max_sigma": 0.1009098996302996, + "center_rms_sigma": 0.041737403703950474, + "cov_frob_rms": 0.05610274891753917, + "cov_trace_bias": 0.0002794389468916414, + "frozen_pass": true, + "mass_tv": 0.012260000000000004, + "n": 100000, + "passed": true, + "precision": 0.98914, + "precision_gap": 0.0002489965382422854, + "problem": "staggered100", + "protocol": "toy100-accuracy-v1", + "radial_ks": 0.0015147473888911245, + "valid_n": 100000, + "within_radius_n": 98914 + }, + "original_artifacts": { + "checkpoint": { + "original_path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized-quintic-v1-quality/9a8e496fffff47a68976f46b69b1be2d/native100/staggered100/training-state.pt", + "sha256": "f6c432a052efe2354598120fe49ceb33d8822260d413b1b2a8d99d0f325cf7b6", + "status": "MISSING" + }, + "holdout_samples": { + "original_path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized-quintic-v1-quality/9a8e496fffff47a68976f46b69b1be2d/native100/staggered100/holdout_samples.npz", + "sha256": "c02a1ea20d6c3513b9b7ec8802a39ea8c4dc2f6d15715786ec15d620d097646a", + "status": "MISSING" + } + }, + "original_receipt_provenance": { + "canonical_result_hash": "515d75a0d36790b5ae61eb02d8618ff6ad410182d64d6aeded0667a201ebdcca", + "original_files": { + "evidence": { + "path": "reports/forge/attempts/9a8e496fffff47a68976f46b69b1be2d/evidence.json", + "sha256": "badf3878a7298035fc6c9b7242d899d5d0c9a18dcb4b7789f3121a339cfe630e" + }, + "request": { + "path": "reports/forge/attempts/9a8e496fffff47a68976f46b69b1be2d/request.json", + "sha256": "eb8bb710ee9d1e11760f3353c88c7cd8ed15fa572260d29c0ddca97ee182ed9e" + }, + "result": { + "path": "reports/forge/attempts/9a8e496fffff47a68976f46b69b1be2d/result.json", + "sha256": "ddabeffb75f9f1a8bae9df9821f60d73d13f3623e40bb6d0e2ebc0b109afe3dd" + } + }, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447" + }, + "precision_shortfall": 0.6338299999999999, + "protocol": { + "evaluation": { + "accuracy_limits": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "coverage_evaluator": "benchmarks.toy100.gate:evaluate_suite", + "coverage_thresholds": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + }, + "early_eval_steps": [ + 0, + 1, + 10, + 25, + 50, + 100 + ], + "eval_interval": 250, + "eval_output_noise": "clean", + "eval_samples": 20000, + "evaluator": "benchmarks.toy100.accuracy_gate:evaluate_suite", + "evaluator_revision": { + "added_source_members": [ + "benchmarks/toy100/train.py", + "benchmarks/toy100/__main__.py", + "benchmarks/toy100/device.py", + "benchmarks/toy100/affine_replay.py", + "benchmarks/toy_suite.py" + ], + "change": "Bind device-correct legacy fixtures and experiment RNG preservation plus recorded-device/initializer affine replay and receipt validation. No EMA-idle hooks are adopted. Architecture, target/data/prior/serving laws, optimizer policy, budgets, cadence and numerical gates are unchanged. Archived declarations and source-bound results retain their original identities.", + "id": "pr399-host-device-replay-source-only-v1", + "previous_revision": { + "change": "Validate explicit CLI evaluation-noise overrides; metric kernels, thresholds, clean sampling law and budgets unchanged.", + "id": "native100-manifest-sampling-v2", + "previous_gate_sha256": "55f6ef733f0b10f4c6ac05eb5ad9d30320d807ff520ea1b41c75d2d0b41e406a" + }, + "previous_source_sha256": { + "benchmarks/toy100/gate.py": "2ddadf56a4ccd7645c8b4e391373818b1113fb6113a9c691310fb162684058e6" + } + }, + "holdout_samples": 100000, + "kind": "native_accuracy", + "minimum_stable_checks": 5, + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise", + "scoring_weights": "live", + "sources": { + "benchmarks/toy100/__main__.py": "50b9d164a7aae10f8dc20684dbc7be86e5f19152d989ad1247d2a5b9335545ce", + "benchmarks/toy100/accuracy.py": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2", + "benchmarks/toy100/accuracy_gate.py": "e66ede95d4b80eedd832a102841c2b0a5d6d710f646bfa34dc00647dc0ab3abe", + "benchmarks/toy100/affine_replay.py": "6850a45ad099018aaf12126b998907e6eea0471de0a28b73a74eb5cac229b6c8", + "benchmarks/toy100/device.py": "7fa0f53db44e8824d3497b471e9fe8db56cbf8b4e02ddf997f65beed63f81911", + "benchmarks/toy100/gate.py": "561717e0a6c981b20efdf4a1d41e2cf9cace0c8c619546c4bf7f52748e09fbc3", + "benchmarks/toy100/metrics.py": "a7fbef19082f8470eb392948da52a336a90a3e99c6b3b893343a9e75bcda9c7b", + "benchmarks/toy100/train.py": "d58a9a9862fbbdf31a53302fcee5d986ea4b10b5c337d901dbe51af2ca5ee649", + "benchmarks/toy_suite.py": "8ce629b52ed6c7a52d41e2a4d632dc296168290f4a26949c7e705c2207a2beaf" + } + }, + "initial_prior": { + "kind": "mog", + "sigma": 0.025, + "standardize": false + }, + "initializer": "deterministic_orthogonal", + "model": { + "fourier": 2, + "hidden": 128, + "layers": 3 + }, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "resources": { + "batch_size": 2048, + "num_particles": 20000, + "z_dim": 2 + }, + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise" + }, + "seed": 0, + "updates": 7000 + }, + "qualification_input": false, + "qualification_reuse": false, + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "rng_audits": { + "checks": 35, + "unintended_deviations": 0 + }, + "sampling_draws_added": 0, + "saved_state_probe": "BLOCKED", + "schema": "bispf_native_failure_audit_v1", + "scientific_status": "FAIL", + "source_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "task_id": "staggered100", + "terminal_summary": { + "mass_tv_range": [ + 0.12095, + 0.12785000000000002 + ], + "passing": 0, + "precision_range": [ + 0.3285, + 0.348 + ], + "steps": [ + 6000, + 6250, + 6500, + 6750, + 7000 + ], + "total": 5, + "undefined_shape_checks": 0 + } +} diff --git a/reports/forge/leading-failures-20261022/staggered100/audit.py b/reports/forge/leading-failures-20261022/staggered100/audit.py new file mode 100644 index 000000000..5df6ccf9f --- /dev/null +++ b/reports/forge/leading-failures-20261022/staggered100/audit.py @@ -0,0 +1,209 @@ +"""Audit one frozen BISPF failure with zero optimizer updates or sampling draws.""" +from __future__ import annotations + +import argparse +import ast +import hashlib +import json +import math +from pathlib import Path +import subprocess +from typing import Any, Mapping + +TASK = "staggered100" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +ARCHIVE_SHA = "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" +DEFAULT_ARCHIVE = Path("/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json") +HERE = Path(__file__).resolve().parent +ROOT = HERE.parents[3] + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def read(path): + return json.loads(path.read_text()) + + +def source(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def audit(archive): + original_bytes = archive.read_bytes() + assert sha(original_bytes) == ARCHIVE_SHA, "original readout digest differs" + original = json.loads(original_bytes) + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = read(quality_path) + assert quality["raw_readout_archive"]["sha256"] == ARCHIVE_SHA + row = next(r for r in quality["rows"] if r["task"] == TASK) + raw = next(r for r in original["task_results"] if r["task_id"] == TASK) + summary = next(r for r in quality["attempt_summaries"] if r["attempt_id"] == row["attempt"]) + assert raw["_attempt_id"] == row["attempt"] + assert raw["metrics"] == row["metrics"] + assert summary["provenance"]["source_origin_commit"] == SOURCE + selected = next(r for r in read(ROOT / "reports/forge/technique-inventory.json")["rows"] + if r["trainer_family"] == "bispf") + assert selected["candidate_id"] == quality["candidate"] == "bispf-optimized-quintic-v1" + assert selected["candidate_revision"] == quality["candidate_revision"] + assert next(r for r in selected["tasks"] if r["task_id"] == TASK)["status"] == "FAIL" + paths = [f"configs/forge/tasks/{TASK}.json", "lib/toy_models.py", + "experiments/forge/adapters.py", "experiments/forge/api.py", + "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/bispf.py", "benchmarks/toy100/accuracy.py", + "benchmarks/toy100/accuracy_gate.py", "benchmarks/toy100/problems.py"] + sources = {path: source(path) for path in paths} + task = json.loads(sources[paths[0]]) + assert task["execution"]["model"] == {"hidden": 128, "layers": 3, "fourier": 2} + assert task["execution"]["resources"] == {"batch_size": 2048, "num_particles": 20000, "z_dim": 2} + assert raw["initial_prior"] == task["execution"]["prior"] + assert raw["initializer"] == task["execution"]["initializer"] == "deterministic_orthogonal" + assert raw["recipe"]["prior_regularizer"] == "sbnp" + assert raw["evidence"]["prior_policy"]["update"] == "learned" + assert raw["recipe"]["loss"] == "non_saturating" + assert raw["recipe"]["output_noise_std"] == raw["recipe"]["ema_decay"] == 0.0 + assert raw["cost"]["completed_steps"] == task["execution"]["steps"] == 7000 + assert row["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + + # Execute the exact frozen scalar accuracy predicate, without importing a + # trainer or drawing new samples. Coverage still belongs to its original grade. + accuracy_tree = ast.parse(sources["benchmarks/toy100/accuracy.py"]) + predicate = next(n for n in accuracy_tree.body if isinstance(n, ast.FunctionDef) + and n.name == "passes_accuracy") + namespace = {"math": math, "Mapping": Mapping, "Any": Any, "EVAL_N": 20000, + "LIMITS": task["evaluation"]["accuracy_limits"]} + exec(compile(ast.Module(body=[predicate], type_ignores=[]), "frozen_accuracy.py", "exec"), namespace) + passes_accuracy = namespace["passes_accuracy"] + result = raw["evaluator_result"] + terminal = result["terminal_checks"] + assert [t["step"] for t in terminal] == [6000, 6250, 6500, 6750, 7000] + assert not any(passes_accuracy(t["metrics"]) for t in terminal) + assert not passes_accuracy(result["holdout_metrics"]) + assert passes_accuracy(result["oracle_metrics"]) + assert result["oracle_metrics"]["passed"] is True + assert result["coverage_status"] == result["status"] == row["status"] == "FAIL" + for check in terminal: + assert check["passed"] == (check["metrics"]["frozen_pass"] and passes_accuracy(check["metrics"])) + for key, value in row["metrics"].items(): + assert value == result["holdout_metrics"][key] + + # Inspect the exact host classes and optimizer dispatch. No weights or + # synthetic optimizer updates are constructed as a substitute for training. + model_tree = ast.parse(sources["lib/toy_models.py"]) + constructors = {} + for name in ("SimpleMLPGenerator", "SimpleMLPDiscriminator"): + cls = next(n for n in model_tree.body if isinstance(n, ast.ClassDef) and n.name == name) + init = next(n for n in cls.body if isinstance(n, ast.FunctionDef) and n.name == "__init__") + constructors[name] = sorted({n.func.attr for n in ast.walk(init) if isinstance(n, ast.Call) + and isinstance(n.func, ast.Attribute) and isinstance(n.func.value, ast.Name) + and n.func.value.id == "nn"}) + assert not any("Conv" in kind for kind in constructors[name]) + optimizer_text = sources["particlegan/optim/dualnorm.py"].decode() + assert 'torch.nn.Conv2d, torch.nn.ConvTranspose2d' in optimizer_text + assert 'elif parameter.ndim == 2:' in optimizer_text + recipe_text = sources["particlegan/recipes.py"].decode() + assert 'self.effective_critic_formulation == "bispf" and self.loss == "relativistic"' in recipe_text + + # Evaluate frozen branch eligibility at the endpoint. Residual-dependent + # branch outputs are unknown without the actual checkpoint and inputs. + bispf_tree = ast.parse(sources["particlegan/bispf.py"]) + kernel = next(n for n in bispf_tree.body if isinstance(n, ast.ClassDef) and n.name == "_BISPFPenaltyKernel") + penalty = next(n for n in kernel.body if isinstance(n, ast.FunctionDef) and n.name == "penalty") + env = {"is_discrete_simplex": False, "is_image_tensor": False, + "b_r": 2048, "b_f": 2048, "dim": 2, "call_idx": 7000} + for name in ("is_continuous_flow", "is_dense_multimode"): + node = next(n for n in penalty.body if isinstance(n, ast.Assign) + and any(isinstance(t, ast.Name) and t.id == name for t in n.targets)) + env[name] = eval(compile(ast.Expression(node.value), "frozen_branch.py", "eval"), {}, env) + capture = next(n for n in penalty.body if isinstance(n, ast.If) + and "call_idx >= 1650" in ast.unparse(n.test)) + harmonic_eligible = eval(compile(ast.Expression(capture.test), "frozen_branch.py", "eval"), {}, env) + assert env["is_dense_multimode"] is True and harmonic_eligible is False + + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = read(media_path) + gif_path = media_path.with_suffix(".gif") + assert sha(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + guards = raw["evidence"]["guards"] + assert guards["all_finite"] is True and guards["unintended_rng_deviations"] == 0 + assert guards["optimizer_updates"] == {"discriminator": 7000, "generator": 7000, "prior": 7000} + assert len(raw["evidence"]["rng_audits"]) == 35 + assert sum(a["unintended_rng_deviations"] for a in raw["evidence"]["rng_audits"]) == 0 + checkpoint = raw["evidence"]["checkpoint"] + artifact_root = Path(raw["evidence"]["artifact_root"]) + original_paths = {"checkpoint": artifact_root / checkpoint["path"], + "holdout_samples": artifact_root / TASK / "holdout_samples.npz"} + availability = {} + manifest = raw["evidence"]["artifact_manifest"]["files"] + for name, path in original_paths.items(): + relative = str(path.relative_to(artifact_root)) + expected = manifest[relative]["sha256"] + present = path.is_file() + if present: + assert sha(path.read_bytes()) == expected, f"{name} digest differs" + availability[name] = {"original_path": str(path), "sha256": expected, + "status": "AVAILABLE" if present else "MISSING"} + limits = task["evaluation"]["accuracy_limits"] + holdout = result["holdout_metrics"] + return { + "schema": "bispf_native_failure_audit_v1", "task_id": TASK, "audit_status": "PASS", + "scientific_status": "FAIL", "qualification_input": False, "qualification_reuse": False, + "optimizer_updates_added": 0, "sampling_draws_added": 0, + "candidate_id": quality["candidate"], "candidate_revision": quality["candidate_revision"], + "source_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "attempt_id": row["attempt"], + "input_sha256": {"quality.json": sha(quality_path.read_bytes()), "original_readout": ARCHIVE_SHA, + "media_receipt": sha(media_path.read_bytes())}, + "frozen_source_sha256": {path: sha(data) for path, data in sources.items()}, + "original_receipt_provenance": summary["provenance"], + "protocol": {"seed": 0, "initializer": raw["initializer"], + "model": task["execution"]["model"], "resources": task["execution"]["resources"], + "initial_prior": raw["initial_prior"], "prior_update": "learned", + "prior_regularizer": "sbnp", "prior_reg": raw["recipe"]["prior_reg"], + "sampling": row["sampling"], "updates": 7000, + "evaluation": task["evaluation"]}, + "initial_model_sha256": {k: v["initial_state_sha256"] for k, v in raw["initialization"].items()}, + "named_stream_final_sha256": raw["evidence"]["provenance_checkpoint"]["named_stream_state_sha256"], + "rng_audits": {"checks": 35, "unintended_deviations": 0}, + "terminal_summary": {"steps": [t["step"] for t in terminal], "passing": 0, "total": 5, + "precision_range": [min(t["metrics"]["precision"] for t in terminal), max(t["metrics"]["precision"] for t in terminal)], + "mass_tv_range": [min(t["metrics"]["mass_tv"] for t in terminal), max(t["metrics"]["mass_tv"] for t in terminal)], + "undefined_shape_checks": sum(t["metrics"]["center_rms_sigma"] is None for t in terminal)}, + "holdout_metrics": holdout, "oracle_metrics": result["oracle_metrics"], + "accuracy_limit_ratios": {key: holdout[key] / value if holdout[key] is not None else None + for key, value in limits.items()}, + "precision_shortfall": task["evaluation"]["coverage_thresholds"]["min_precision"] - holdout["precision"], + "host_mechanisms": {"module_constructors": constructors, "eligible_convolution_groups": 0, + "quintic_delta_exercised": False, "selected_objective": "non_saturating", + "dense_multimode_endpoint_eligible": env["is_dense_multimode"], + "harmonic_capture_endpoint_eligible": harmonic_eligible, + "actual_thermal_scale": "UNKNOWN_without_saved_state", + "critic_penalty_applied": guards["mechanism_audit"]["mechanisms"]["critic_penalty"]["applied"]}, + "checkpoint_receipt": checkpoint, "original_artifacts": availability, + "saved_state_probe": "BLOCKED" if not all(p.is_file() for p in original_paths.values()) else "NOT_EXECUTED", + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"], + "source_attempt": row["attempt"], "observations": media["observation_count"]}, + } + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=DEFAULT_ARCHIVE) + parser.add_argument("--write", action="store_true") + args = parser.parse_args() + result = audit(args.archive) + destination = HERE / "audit-result.json" + if args.write: + destination.write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + "\n") + else: + assert read(destination) == result, "committed audit differs; inspect source and evidence before rewriting" + print(json.dumps({"task": TASK, "audit": result["audit_status"], "scientific_status": "FAIL", + "passing_terminal_checks": "0/5", "saved_state_probe": result["saved_state_probe"], + "updates_added": 0, "samples_added": 0}, sort_keys=True), flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/vector_anisotropic/README.md b/reports/forge/leading-failures-20261022/vector_anisotropic/README.md new file mode 100644 index 000000000..84c4a2127 --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_anisotropic/README.md @@ -0,0 +1,46 @@ +# BISPF failure investigation: vector_anisotropic + +This investigation binds **`vector_anisotropic`** to selected recipe **`bispf-optimized-quintic-v1`**, attempt **`c82e5be061d341f184fbf343515c822c`**, source **`d9d72d53761c898bce20102e1995fc3d899c1447`**, seed **0**. The [compact audited result](result.json) retains the full candidate/source/recipe/task/protocol/RNG hashes, initial model/prior hashes, consumed stream hashes and original artifact identities. The [current technique inventory](../../technique-inventory.md) remains the single leaderboard. This report makes no selection, qualification or default change. + +The frozen host is the public API MLP GAN: hidden width 64, two layers, discriminator Fourier setting 2, latent dimension 4, 256 learned MoG locations, fixed sigma .025 and uniform latent mixture weights, batch 128, **1,200 updates**, **24 checks spaced 50 updates apart**, 4,096 clean live public-prior samples per check, and five passing terminal checks. Actual recipe values are lr .012, critic multiplier 1.5, prior multiplier 2.5, SBNP prior regularization .01, smoothed DualNorm .001, no EMA serving and no output noise. The actual adversarial loss is **`non_saturating`**. `Recipe.make_loss` activates `SinkhornRelativisticLoss` only for `loss=relativistic`, so that paired adversarial loss is inactive here. Sinkhorn coupling is active inside the **critic penalty**, where it selects transport chords and measures the cooling residual. Legacy host optimizer values are inactive provenance, not the executed recipe. The run uses the public deterministic initializer and named seed-0 streams; no identity/zero fixture is substituted. + +The selected BISPF endpoint learns acceptable component covariance shapes but allocates the wrong probabilities. It fails mass TV **.17521** and normalized SW distance **.21362**. Its full-component covariance error **.31381**, minimum eigen ratio **.32515** and HQ **.99561** all pass their unchanged endpoint bounds. Calling this endpoint an anisotropic-shape collapse would misidentify the observed failure. + +The endpoint component counts are **1,284 / 2,083 / 729**, or **31.35% / 50.85% / 17.80%**, against equal thirds. The middle component's excess probability accounts for the total mass TV. The third component receives only **53.39% of its requested probability**. Component full covariance errors are **.23534 / .38455 / .32154**; all are small compared with the averaged .85 bound. Their core eigen ratios **.47893 / .91805 / .32515** clear .15. + +This is also a temporal allocation failure: mass TV fails **all 24 scheduled checks**. The third component has zero assignments through update 200, appears with 182/4,096 draws at 250, and ends at 729. Shape improves substantially, but the output allocation does not reach its bound. Full-component covariance passes only three checks; the earlier trajectory has genuine spread/tail errors, so the endpoint finding must not be generalized to every earlier state. + +The problem-list prose cites an earlier BISPF covariance error near 2.0 and TV near .191. Those numbers do not belong to this selected measurement. The [older BISPF report](../../bispf/README.md) retains its original source; the exact selected evidence in this report supersedes neither its result nor its identity. + +In the frozen source, the critic penalty's Sinkhorn coupling uses a detached scalar median squared distance rather than per-component covariance whitening. Its finite-iteration coupling and endpoint/chord critic penalty therefore supply a plausible route for common geometric directions to dominate shared output motion. The readout does not contain per-component transport mass, critic force or parameter-step projections, so this remains a hypothesis. Fixed uniform MoG weights constrain latent row probabilities, not how many learned rows or kernels map into each target component. + +SBNP's explicit local 2D circularization requires **latent dimension 2** and no references; this host has **latent dimension 4**. Its active-plane latent term may still apply, but it cannot simply be described as forcing three 2D target ellipses to become circular. Endpoint covariance/eigen gates already contradict that explanation as the immediate terminal bottleneck. The special harmonic lock cannot activate before call 1,650, outside the 1,200-update budget. The selected quintic convolution delta does not execute on this MLP architecture. + +The [test dispositions](../../test-dispositions-20261015/README.md#vector_anisotropic) preserve successful K3P/KA2/R1R2 and cell-moment contexts with mode-hold/ring/clock failures. They show that partial repair is possible under their own source and protocol; they do not justify replacing the selected global BISPF recipe task by task. + +Recommended next diagnostic: recover the byte-exact observed-sample tensor and audit updates **250, 600, 1,000 and 1,200**, with **zero optimizer updates, zero new draws and a 60 CPU-second cap**. Reproduce the component counts, then decompose the served mean/covariance into between-component mass allocation, component-mean offset and within-component covariance. Prediction: equalizing component weights in an explicitly labelled reweighted diagnostic materially reduces the mean/between-component contribution; the original unweighted scientific metrics remain unchanged. Falsifier: shape/within-component errors dominate the decomposition despite the stored passing endpoint component gates. Such reweighting is an explanatory diagnostic, never a new sampling law for qualification. Only after that audit should a frozen-state public-API force probe measure per-component critic and generator displacement; endpoint force alignment would still not prove the historical cause of underallocation. + +| Metric | Endpoint | Gate | Endpoint result | Passing checks | +| --- | ---: | --- | --- | ---: | +| `sw1_normalized` | 0.21362411 | <= 0.18 | FAIL | 3/24 | +| `mass_tv` | 0.17521159 | <= 0.15 | FAIL | 0/24 | +| `hq` | 0.99560547 | >= 0.85 | PASS | 20/24 | +| `component_covariance_error` | 0.3138139 | <= 0.85 | PASS | 3/24 | +| `component_min_eigen_ratio` | 0.3251496 | >= 0.15 | PASS | 19/24 | + +Mechanism statements above refer to the **frozen source**, not current develop: [BISPF loss, SBNP and thermal branches](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py), [normalized optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py), [prior construction/regularizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py), [public trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py), and [vector adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py). The scorer's [component/distribution definitions](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/transfer_suite/vector_tasks.py) and the [task gates](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/configs/forge/tasks/vector_anisotropic.json) retain their actual nonzero-width MoG, clean-live law. Frozen/current source hashes are both recorded because these implementations have since changed. + +The read-only [audit](audit.py) verifies the **byte-exact original 4,926,714-byte readout** (SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`), every projected endpoint scalar, all 24 saved observations, individual metric pass counts, complete passing runs, frozen task/evaluator sources, selected row identity and the existing actual-training GIF hash. This is saved-evidence verification through receipts of the actual `public_trainer` execution; it adds no toy training test, optimizer step or sample. The [existing actual-training GIF](../../bispf-optimized/quality-media/vector_anisotropic.gif) and [source receipt](../../bispf-optimized/quality-media/vector_anisotropic.json) illustrate the same failed run. + +The original author's `/home/martyn/dev/...` path is absent here. The original readout was recovered at the location declared by the [storage migration receipt](../../bispf-optimized/storage-migration.json), and its digest matches the [quality publication](../../bispf-optimized/quality.json). Sample/checkpoint hashes in `result.json` are **recorded identities**, not a claim that their contents were recovered or verified in this investigation. They are required for the proposed deeper probes. Missing originals stop those probes; they do not authorize unchanged retraining. + +Run from this worktree's root (Python standard library only): + +```sh +mkdir -p runs/forge/leading-failures-20261022/vector_anisotropic +python -u reports/forge/leading-failures-20261022/vector_anisotropic/audit.py --check \ + > runs/forge/leading-failures-20261022/vector_anisotropic/audit.log 2>&1 +tail -F runs/forge/leading-failures-20261022/vector_anisotropic/audit.log +``` + +Pass `--archive /path/to/original-readout.json` to relocate the exact original. The SHA check rejects summaries or other readouts. `--output` can regenerate the compact result. This completed audit costs under one CPU second; its reproduction allowance is 60 CPU seconds, zero GPU reservations and zero training updates. Bulk logs/tensors remain outside Git. No seed experiment, unchanged rerun, new leaderboard or historical regrade is included. diff --git a/reports/forge/leading-failures-20261022/vector_anisotropic/audit.py b/reports/forge/leading-failures-20261022/vector_anisotropic/audit.py new file mode 100644 index 000000000..5ea4ac45a --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_anisotropic/audit.py @@ -0,0 +1,184 @@ +#!/usr/bin/env python3 +"""Zero-training audit of an existing public-trainer BISPF measurement. + +Requires the original readout; summaries cannot replace it. No model construction, +training, sampling, requalification, or leaderboard publication occurs. +""" +from __future__ import annotations +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "vector_anisotropic" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +DEFAULT_ARCHIVE = "/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json" +ROOT = Path(__file__).resolve().parents[4] + + +def digest(data): + return hashlib.sha256(data).hexdigest() + + +def canonical(value): + return json.dumps(value, sort_keys=True, separators=(",", ":")).encode() + + +def frozen(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def passes(row, threshold): + key, op, bound = threshold + value = row[key] + assert type(value) in (int, float) and math.isfinite(value) + assert op in ("<=", ">=") + return value <= bound if op == "<=" else value >= bound + + +def audit(archive): + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = json.loads(quality_path.read_bytes()) + data = archive.read_bytes() + assert digest(data) == quality["raw_readout_archive"]["sha256"] + assert len(data) == quality["raw_readout_archive"]["bytes"] + raw = json.loads(data) + assert raw["candidate_id"] == quality["candidate"] == CANDIDATE + assert raw["candidate_revision"] == quality["candidate_revision"] + assert quality["source_commit"] == SOURCE and quality["seed"] == 0 + records = [r for r in raw["task_results"] if r["task_id"] == TASK] + selected = [r for r in quality["rows"] if r["task"] == TASK] + assert len(records) == len(selected) == 1 + record, published = records[0], selected[0] + assert record["_attempt_id"] == published["attempt"] + assert record["status"] == published["status"] == "FAIL" + assert record["execution_path"] == "public_trainer" + assert record["rng"]["seed"] == 0 + for key, value in published["metrics"].items(): + assert record["metrics"][key] == value, key + assert digest(canonical(record["metrics"])) == published["final_metrics_sha256"] + board = json.loads((ROOT / "reports/forge/technique-inventory.json").read_bytes()) + leaders = [r for r in board["rows"] if r["candidate_id"] == CANDIDATE] + assert len(leaders) == 1 + binding = leaders[0]["bindings"] + assert binding["source_origin_commit"] == SOURCE + assert binding["recipe_sha256"] == quality["global_recipe_sha256"] + assert published["attempt"] in leaders[0]["attempt_ids"] + task_path = f"configs/forge/tasks/{TASK}.json" + task_bytes = frozen(task_path) + task = json.loads(task_bytes) + assert task["execution"]["host_definition"] == record["evidence"]["host"]["definition"] + assert task["execution"]["prior"] == record["initial_prior"] + assert record["prior"] == {"kind": "mog", "learnable": True, "sigma": .025, "standardize": False} + assert record["initializer"] == "deterministic_orthogonal" + assert published["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + assert record["recipe"]["prior_regularizer"] == "sbnp" + assert record["recipe"]["loss"] == "non_saturating" + assert record["recipe"]["optimizer_convolution_rule"] == "quintic" + assert record["recipe"]["total_steps"] == task["execution"]["steps"] == 1200 + host_models = record["evidence"]["host"]["models"] + assert all(len(shape) <= 2 for model in host_models.values() + for shape in model["parameter_shapes"].values()) + assert all("SimpleMLP" in model["class"] for model in host_models.values()) + thresholds = task["evaluation"]["thresholds"] + observations = record["evidence"]["observations"] + assert [r["step"] for r in observations] == list(range(50, 1201, 50)) + assert observations[-1] == record["metrics"] + flags = [all(passes(o, t) for t in thresholds) for o in observations] + longest = suffix = 0 + for flag in flags: + suffix = suffix + 1 if flag else 0 + longest = max(longest, suffix) + convergence = published["evaluator_summary"]["convergence"] + assert sum(flags) == convergence["passing_observations"] + assert suffix == convergence["passing_suffix"] == 0 + minimum = task["evaluation"]["minimum_stable_checks"] + assert minimum == 5 and suffix < minimum + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = json.loads(media_path.read_bytes()) + gif_path = media_path.with_suffix(".gif") + assert digest(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["kind"] == "actual_training_saved_observations_gif" + assert media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + evaluated_sources = {} + for path, expected in task["evaluation"]["sources"].items(): + actual = digest(frozen(path)) + assert actual == expected, path + evaluated_sources[path] = actual + mechanism_sources = {} + for path in ("particlegan/bispf.py", "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/training.py", "particlegan/particle_prior.py", "experiments/forge/adapters.py"): + mechanism_sources[path] = {"frozen_sha256": digest(frozen(path)), + "current_sha256": digest((ROOT / path).read_bytes())} + endpoint = record["metrics"] + details = {key: endpoint[key] for key in ("component_counts", "component_mass", "target_mass", + "component_covariance_errors", "component_core_covariance_errors", "component_core_eigen_ratios", + "component_spill") if key in endpoint} + if TASK == "vector_unequal_mass": + rare = len(task["execution"]["host_definition"]["masses"]) - 1 + occupied = [o["step"] for o in observations if o["component_counts"][rare] >= 10] + details.update(rare_shape_supported_observation_steps=occupied, + rare_absent_terminal_checks=sum(o["component_counts"][rare] == 0 for o in observations if o["step"] >= 400), + target_rare_expected_per_training_batch=.02 * 128, + true_target_probability_zero_rare_in_4096=.98 ** 4096) + if TASK == "vector_unequal_width": + details["component_1_share_of_summed_full_covariance_error"] = endpoint["component_covariance_errors"][1] / sum(endpoint["component_covariance_errors"]) + details["full_to_core_covariance_error_ratio"] = endpoint["component_covariance_error"] / endpoint["component_core_covariance_error"] + if TASK == "vector_overlap": + details["passing_observation_steps"] = [o["step"] for o, flag in zip(observations, flags) if flag] + details["last_two_covariance_errors"] = [o["covariance_error"] for o in observations[-2:]] + details["covariance_error_direction"] = "Not identifiable from covariance norm alone; sample matrices unavailable in readout." + checkpoint = record["evidence"]["provenance_checkpoint"] + return {"schema": "bispf_existing_measurement_investigation_v1", "task": TASK, + "audit_status": "PASS", "scientific_status_unchanged": "FAIL", "qualification_input": False, + "updates_added": 0, "sampling_draws_added": 0, "seed": 0, + "candidate": CANDIDATE, "candidate_revision": quality["candidate_revision"], + "source_origin_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "task_contract_sha256": binding["task_contracts"][TASK], + "protocol_sha256": binding["protocol_sha256"], "rng_sha256": binding["rng_sha256"], + "attempt": published["attempt"], "original_readout": quality["raw_readout_archive"], + "quality_publication_sha256": digest(quality_path.read_bytes()), + "observations_sha256": digest(canonical(observations)), "observation_count": len(observations), + "passing_checks": sum(flags), "longest_passing_run": longest, "passing_suffix": suffix, + "required_terminal_checks": minimum, "endpoint_metrics": published["metrics"], + "gate_audit": [{"metric": t[0], "op": t[1], "threshold": t[2], "endpoint": endpoint[t[0]], + "endpoint_passes": passes(endpoint, t), "passing_checks": sum(passes(o, t) for o in observations)} for t in thresholds], + "detail": details, "effective_recipe": {k: record["recipe"][k] for k in + ("loss", "lr", "d_lr_mult", "prior_lr_mult", "prior_reg", "prior_regularizer", "optimizer_family", + "optimizer_smoothing", "batch_size", "z_dim", "num_particles", "reg_coeff", "ema_decay")}, + "prior": record["prior"], "initialization": record["initialization"], + "rng_stream_count": len(record["rng"]["bindings"]), + "consumed_stream_state_hashes": checkpoint["named_stream_state_sha256"], + "saved_samples": record["evidence"]["saved_observer_outputs"], + "provenance_checkpoint": {k: checkpoint[k] for k in ("sha256", "state_sha256", "purpose", "prerequisite_eligible")}, + "frozen_task_sha256": digest(task_bytes), "evaluated_sources": evaluated_sources, + "mechanism_sources": mechanism_sources, "convolution_parameters": 0, + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"]}, + "limitations": ["Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred."]} + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=Path(DEFAULT_ARCHIVE)) + parser.add_argument("--output", type=Path) + parser.add_argument("--check", action="store_true", help="Compare against committed compact result") + args = parser.parse_args() + result = audit(args.archive) + encoded = json.dumps(result, indent=2, sort_keys=True) + "\n" + if args.check: + assert json.loads(Path(__file__).with_name("result.json").read_text()) == result + print(f"PASS {TASK}: exact original readout, all 24 saved checks, frozen sources, projection and GIF; zero updates") + elif args.output: + args.output.write_text(encoded) + print(f"PASS {TASK}: wrote compact audit to {args.output}") + else: + print(encoded, end="") + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/vector_anisotropic/result.json b/reports/forge/leading-failures-20261022/vector_anisotropic/result.json new file mode 100644 index 000000000..70ef3ea57 --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_anisotropic/result.json @@ -0,0 +1,256 @@ +{ + "actual_training_gif": { + "path": "reports/forge/bispf-optimized/quality-media/vector_anisotropic.gif", + "sha256": "9083370541af71a0367db508aaba5c36178cf93f96a98391a529eafb8c3fe2d3" + }, + "attempt": "c82e5be061d341f184fbf343515c822c", + "audit_status": "PASS", + "candidate": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "consumed_stream_state_hashes": { + "[\"data\",\"target\",\"training\",\"cpu\"]": "e3d88c74d2a45b2a2dc89ff1d4907b619a73bbdd39f2d7aaa74a0ada271b2dca", + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "3045f927f809a4d4908bc8c70834e5a1f37ab046029bd3c739b743dff9e57661", + "[\"eval\",\"live\",\"samples\",\"cuda:0\"]": "1067194d546695c470f7ceb2d3429ebf5100aa20d0a5b67338ff8799d3dab369", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "9bc63913a6b09c5e108ba2075f73ce257dffc4b1919c25941f26fbeec4145af3", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "7fe5aab126065475c69fa5c8766a474858022b220b8d7433e5c7eb08df76dd46", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + 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"mass_tv", + "op": "<=", + "passing_checks": 0, + "threshold": 0.15 + }, + { + "endpoint": 0.99560546875, + "endpoint_passes": true, + "metric": "hq", + "op": ">=", + "passing_checks": 20, + "threshold": 0.85 + }, + { + "endpoint": 0.31381389995416004, + "endpoint_passes": true, + "metric": "component_covariance_error", + "op": "<=", + "passing_checks": 3, + "threshold": 0.85 + }, + { + "endpoint": 0.3251495957374573, + "endpoint_passes": true, + "metric": "component_min_eigen_ratio", + "op": ">=", + "passing_checks": 19, + "threshold": 0.15 + } + ], + "initialization": { + "discriminator": { + "initial_state_sha256": "dfce1e190acd3e6ea14608db962b00a49bae053adf982189d5df57edf4e3a118", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "net.0.bias": 3734295931346225499, + "net.0.weight": 8910211641772985932, + "net.2.bias": 1656871869629328331, + "net.2.weight": 9070382962554913347, + "net.4.bias": 333772184539410714, + "net.4.weight": 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"current_sha256": "04eaec8823d72177d54b6348ffd9c77bcc2971a239943f0d8b6a3cd8a73df532", + "frozen_sha256": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3" + }, + "particlegan/bispf.py": { + "current_sha256": "c97cef8942b6dc44b0f9dabab03ff25350cec37008eb6ed4aa72d62272a2d1a8", + "frozen_sha256": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58" + }, + "particlegan/optim/dualnorm.py": { + "current_sha256": "5b9a223c8765c5979af1e0592aad98ec0fac7bfdb6c9896f3a684d95f337107a", + "frozen_sha256": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9" + }, + "particlegan/particle_prior.py": { + "current_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f", + "frozen_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f" + }, + "particlegan/recipes.py": { + "current_sha256": "6c818b90544a67f833f5effea36868524041ff8009960b2a9a17188df133977a", + "frozen_sha256": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621" + }, + "particlegan/training.py": { + "current_sha256": "3711700bcb1700d9446fb6ced07d8d98188860ff219828ec91f49e3bb10b8344", + "frozen_sha256": "f84bf044405a1ea105350a260bfc903bade9b8d464ad80eb005b0e4a307a6c2b" + } + }, + "observation_count": 24, + "observations_sha256": "89702345c7aa651deaae4685fd56de877105c7e595ff94d36c914e148a1f9dc2", + "original_readout": { + "bytes": 4926714, + "path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized/ordinary-quality-full-readout.json", + "sha256": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" + }, + "passing_checks": 0, + "passing_suffix": 0, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "provenance_checkpoint": { + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sha256": "0c9b08d28f82b30fd1882968342b036431f384c228fdc7e506b766226783c12c", + "state_sha256": "ae4d468d87692a749d4079ed156ee6144e56e2fdffb55f260f9130697693f769" + }, + "qualification_input": false, + "quality_publication_sha256": "5eb3bcf2986af87ed836c99e48e376082a3dee6ceda30bbd4c4635b3e3652cbe", + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "required_terminal_checks": 5, + "rng_sha256": "cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058", + "rng_stream_count": 14, + "sampling_draws_added": 0, + "saved_samples": { + "bytes": 794217, + "kind": "scored_vector_samples_v1", + "observation_count": 24, + "optimizer_updates_added": 0, + "path": "observed-samples.pt", + "sampling_draws_added": 0, + "sha256": "26549e1002c7527b6f94dfb7ab141d32521bbaa78ec1508a961f1fd0baf00fb3" + }, + "schema": "bispf_existing_measurement_investigation_v1", + "scientific_status_unchanged": "FAIL", + "seed": 0, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "task": "vector_anisotropic", + "task_contract_sha256": "8a266b8ac263e39d58c4515d43f0bc168b073d13e027238a130f684c223db4e5", + "updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/vector_overlap/README.md b/reports/forge/leading-failures-20261022/vector_overlap/README.md new file mode 100644 index 000000000..509af2360 --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_overlap/README.md @@ -0,0 +1,40 @@ +# BISPF failure investigation: vector_overlap + +This investigation binds **`vector_overlap`** to selected recipe **`bispf-optimized-quintic-v1`**, attempt **`f68126b2dfe44d158054ed18be8960e6`**, source **`d9d72d53761c898bce20102e1995fc3d899c1447`**, seed **0**. The [compact audited result](result.json) retains the full candidate/source/recipe/task/protocol/RNG hashes, initial model/prior hashes, consumed stream hashes and original artifact identities. The [current technique inventory](../../technique-inventory.md) remains the single leaderboard. This report makes no selection, qualification or default change. + +The frozen host is the public API MLP GAN: hidden width 64, two layers, discriminator Fourier setting 2, latent dimension 4, 256 learned MoG locations, fixed sigma .025 and uniform latent mixture weights, batch 128, **1,200 updates**, **24 checks spaced 50 updates apart**, 4,096 clean live public-prior samples per check, and five passing terminal checks. Actual recipe values are lr .012, critic multiplier 1.5, prior multiplier 2.5, SBNP prior regularization .01, smoothed DualNorm .001, no EMA serving and no output noise. The actual adversarial loss is **`non_saturating`**. `Recipe.make_loss` activates `SinkhornRelativisticLoss` only for `loss=relativistic`, so that paired adversarial loss is inactive here. Sinkhorn coupling is active inside the **critic penalty**, where it selects transport chords and measures the cooling residual. Legacy host optimizer values are inactive provenance, not the executed recipe. The run uses the public deterministic initializer and named seed-0 streams; no identity/zero fixture is substituted. + +The selected BISPF run repeatedly reaches the overlapping target but does not sustain it. Ten of 24 scheduled observations pass all three observable-distribution gates. Its longest passing run is only **three**, below the required **five terminal checks**, and the endpoint fails covariance error **.52230 > .45**. Its endpoint mean error **.10151** and normalized SW distance **.14909** pass. The scientific FAIL is preserved. + +Complete passing observations occur at updates **100, 200, 250, 300, 400, 450, 600, 700, 750 and 1,050**. No final suffix passes: update 1,100 fails mean and SW, then 1,150 and 1,200 fail covariance. Mean error passes 12/24 checks, SW 19/24 and covariance 21/24. This pattern identifies retention instability and alternating moments, not an inability to reach the target at all. + +The components overlap and are explicitly declared **not identifiable**. The evaluator correctly uses only observable distribution, mean and covariance gates. It neither requests component recall nor invents a failure from hidden labels. The endpoint covariance scalar is a relative Frobenius norm; it does **not** identify contraction versus expansion or an erroneous axis. Calling this run overdispersed or contracted requires the original sample covariance matrices. Those are absent from the readout, although the exact saved-sample hash is preserved. + +The frozen source uses constant recipe rates with smoothed, normalized dense/prior-row moves. Multiplying gradients by a thermal scalar need not reduce finite motion proportionally when the gradient remains well above optimizer smoothing; near the smoothing scale it does. Residual cooling can therefore be investigated as a settling mechanism, but no saved thermal/gradient trajectory here proves it caused these excursions. The continuous-flow eligibility branch begins at critic call 500 and gauge strength grows from 1,000 to 1,200. The special 95th-percentile harmonic lock starts at **1,650**, beyond this complete 1,200-update task. Its inactivity is a useful static bound, not evidence that extending the task would pass. Quintic convolution optimization does not execute on these MLPs. + +The selected overlap endpoint exactly matches the archived incumbent final metrics, as recorded by the [optimized quality publication](../../bispf-optimized/quality.json); this is consistent with the convolution-only delta's inactive vector path. It supplies no independent confirmation of a retention repair. The [earlier BISPF report](../../bispf/README.md) and current problem-list narrative cite different endpoints, including mean error .278 and SW .194. Keep those source cohorts separate. The [test dispositions](../../test-dispositions-20261015/README.md#vector_overlap) preserve K3P and other partial passers with mode-hold or ring failures; none establishes a global selected-recipe improvement. + +Recommended next diagnostic: recover the exact observed-sample tensor and inspect **750, 800, 1,000, 1,050, 1,100, 1,150 and 1,200** with **zero updates, zero new draws and a 60 CPU-second cap**. Recover signed covariance differences and eigenvectors, normalized mean vectors and their changes across these fixed scheduled states. Prediction: the terminal scalar failure has a consistent signed/axis-specific component; falsifier: the covariance direction reverses across 1,150/1,200, indicating another transient rather than a persistent spread bias. Independently verify the three-check maximum and every terminal failure from those existing tensors. If the endpoint provenance checkpoint is available, a separately bounded public-API inference probe can inspect earned thermal state and gradient-to-smoothing ratios; it cannot explain the unsaved earlier finite steps. Do not change the task budget, append a continuation, alter the terminal gate or promote an earlier passing state as the result. + +| Metric | Endpoint | Gate | Endpoint result | Passing checks | +| --- | ---: | --- | --- | ---: | +| `sw1_normalized` | 0.14908647 | <= 0.18 | PASS | 19/24 | +| `mean_error` | 0.1015122 | <= 0.15 | PASS | 12/24 | +| `covariance_error` | 0.52229577 | <= 0.45 | FAIL | 21/24 | + +Mechanism statements above refer to the **frozen source**, not current develop: [BISPF loss, SBNP and thermal branches](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py), [normalized optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py), [prior construction/regularizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py), [public trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py), and [vector adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py). The scorer's [component/distribution definitions](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/transfer_suite/vector_tasks.py) and the [task gates](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/configs/forge/tasks/vector_overlap.json) retain their actual nonzero-width MoG, clean-live law. Frozen/current source hashes are both recorded because these implementations have since changed. + +The read-only [audit](audit.py) verifies the **byte-exact original 4,926,714-byte readout** (SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`), every projected endpoint scalar, all 24 saved observations, individual metric pass counts, complete passing runs, frozen task/evaluator sources, selected row identity and the existing actual-training GIF hash. This is saved-evidence verification through receipts of the actual `public_trainer` execution; it adds no toy training test, optimizer step or sample. The [existing actual-training GIF](../../bispf-optimized/quality-media/vector_overlap.gif) and [source receipt](../../bispf-optimized/quality-media/vector_overlap.json) illustrate the same failed run. + +The original author's `/home/martyn/dev/...` path is absent here. The original readout was recovered at the location declared by the [storage migration receipt](../../bispf-optimized/storage-migration.json), and its digest matches the [quality publication](../../bispf-optimized/quality.json). Sample/checkpoint hashes in `result.json` are **recorded identities**, not a claim that their contents were recovered or verified in this investigation. They are required for the proposed deeper probes. Missing originals stop those probes; they do not authorize unchanged retraining. + +Run from this worktree's root (Python standard library only): + +```sh +mkdir -p runs/forge/leading-failures-20261022/vector_overlap +python -u reports/forge/leading-failures-20261022/vector_overlap/audit.py --check \ + > runs/forge/leading-failures-20261022/vector_overlap/audit.log 2>&1 +tail -F runs/forge/leading-failures-20261022/vector_overlap/audit.log +``` + +Pass `--archive /path/to/original-readout.json` to relocate the exact original. The SHA check rejects summaries or other readouts. `--output` can regenerate the compact result. This completed audit costs under one CPU second; its reproduction allowance is 60 CPU seconds, zero GPU reservations and zero training updates. Bulk logs/tensors remain outside Git. No seed experiment, unchanged rerun, new leaderboard or historical regrade is included. diff --git a/reports/forge/leading-failures-20261022/vector_overlap/audit.py b/reports/forge/leading-failures-20261022/vector_overlap/audit.py new file mode 100644 index 000000000..a203e8aca --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_overlap/audit.py @@ -0,0 +1,184 @@ +#!/usr/bin/env python3 +"""Zero-training audit of an existing public-trainer BISPF measurement. + +Requires the original readout; summaries cannot replace it. No model construction, +training, sampling, requalification, or leaderboard publication occurs. +""" +from __future__ import annotations +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "vector_overlap" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +DEFAULT_ARCHIVE = "/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json" +ROOT = Path(__file__).resolve().parents[4] + + +def digest(data): + return hashlib.sha256(data).hexdigest() + + +def canonical(value): + return json.dumps(value, sort_keys=True, separators=(",", ":")).encode() + + +def frozen(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def passes(row, threshold): + key, op, bound = threshold + value = row[key] + assert type(value) in (int, float) and math.isfinite(value) + assert op in ("<=", ">=") + return value <= bound if op == "<=" else value >= bound + + +def audit(archive): + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = json.loads(quality_path.read_bytes()) + data = archive.read_bytes() + assert digest(data) == quality["raw_readout_archive"]["sha256"] + assert len(data) == quality["raw_readout_archive"]["bytes"] + raw = json.loads(data) + assert raw["candidate_id"] == quality["candidate"] == CANDIDATE + assert raw["candidate_revision"] == quality["candidate_revision"] + assert quality["source_commit"] == SOURCE and quality["seed"] == 0 + records = [r for r in raw["task_results"] if r["task_id"] == TASK] + selected = [r for r in quality["rows"] if r["task"] == TASK] + assert len(records) == len(selected) == 1 + record, published = records[0], selected[0] + assert record["_attempt_id"] == published["attempt"] + assert record["status"] == published["status"] == "FAIL" + assert record["execution_path"] == "public_trainer" + assert record["rng"]["seed"] == 0 + for key, value in published["metrics"].items(): + assert record["metrics"][key] == value, key + assert digest(canonical(record["metrics"])) == published["final_metrics_sha256"] + board = json.loads((ROOT / "reports/forge/technique-inventory.json").read_bytes()) + leaders = [r for r in board["rows"] if r["candidate_id"] == CANDIDATE] + assert len(leaders) == 1 + binding = leaders[0]["bindings"] + assert binding["source_origin_commit"] == SOURCE + assert binding["recipe_sha256"] == quality["global_recipe_sha256"] + assert published["attempt"] in leaders[0]["attempt_ids"] + task_path = f"configs/forge/tasks/{TASK}.json" + task_bytes = frozen(task_path) + task = json.loads(task_bytes) + assert task["execution"]["host_definition"] == record["evidence"]["host"]["definition"] + assert task["execution"]["prior"] == record["initial_prior"] + assert record["prior"] == {"kind": "mog", "learnable": True, "sigma": .025, "standardize": False} + assert record["initializer"] == "deterministic_orthogonal" + assert published["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + assert record["recipe"]["prior_regularizer"] == "sbnp" + assert record["recipe"]["loss"] == "non_saturating" + assert record["recipe"]["optimizer_convolution_rule"] == "quintic" + assert record["recipe"]["total_steps"] == task["execution"]["steps"] == 1200 + host_models = record["evidence"]["host"]["models"] + assert all(len(shape) <= 2 for model in host_models.values() + for shape in model["parameter_shapes"].values()) + assert all("SimpleMLP" in model["class"] for model in host_models.values()) + thresholds = task["evaluation"]["thresholds"] + observations = record["evidence"]["observations"] + assert [r["step"] for r in observations] == list(range(50, 1201, 50)) + assert observations[-1] == record["metrics"] + flags = [all(passes(o, t) for t in thresholds) for o in observations] + longest = suffix = 0 + for flag in flags: + suffix = suffix + 1 if flag else 0 + longest = max(longest, suffix) + convergence = published["evaluator_summary"]["convergence"] + assert sum(flags) == convergence["passing_observations"] + assert suffix == convergence["passing_suffix"] == 0 + minimum = task["evaluation"]["minimum_stable_checks"] + assert minimum == 5 and suffix < minimum + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = json.loads(media_path.read_bytes()) + gif_path = media_path.with_suffix(".gif") + assert digest(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["kind"] == "actual_training_saved_observations_gif" + assert media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + evaluated_sources = {} + for path, expected in task["evaluation"]["sources"].items(): + actual = digest(frozen(path)) + assert actual == expected, path + evaluated_sources[path] = actual + mechanism_sources = {} + for path in ("particlegan/bispf.py", "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/training.py", "particlegan/particle_prior.py", "experiments/forge/adapters.py"): + mechanism_sources[path] = {"frozen_sha256": digest(frozen(path)), + "current_sha256": digest((ROOT / path).read_bytes())} + endpoint = record["metrics"] + details = {key: endpoint[key] for key in ("component_counts", "component_mass", "target_mass", + "component_covariance_errors", "component_core_covariance_errors", "component_core_eigen_ratios", + "component_spill") if key in endpoint} + if TASK == "vector_unequal_mass": + rare = len(task["execution"]["host_definition"]["masses"]) - 1 + occupied = [o["step"] for o in observations if o["component_counts"][rare] >= 10] + details.update(rare_shape_supported_observation_steps=occupied, + rare_absent_terminal_checks=sum(o["component_counts"][rare] == 0 for o in observations if o["step"] >= 400), + target_rare_expected_per_training_batch=.02 * 128, + true_target_probability_zero_rare_in_4096=.98 ** 4096) + if TASK == "vector_unequal_width": + details["component_1_share_of_summed_full_covariance_error"] = endpoint["component_covariance_errors"][1] / sum(endpoint["component_covariance_errors"]) + details["full_to_core_covariance_error_ratio"] = endpoint["component_covariance_error"] / endpoint["component_core_covariance_error"] + if TASK == "vector_overlap": + details["passing_observation_steps"] = [o["step"] for o, flag in zip(observations, flags) if flag] + details["last_two_covariance_errors"] = [o["covariance_error"] for o in observations[-2:]] + details["covariance_error_direction"] = "Not identifiable from covariance norm alone; sample matrices unavailable in readout." + checkpoint = record["evidence"]["provenance_checkpoint"] + return {"schema": "bispf_existing_measurement_investigation_v1", "task": TASK, + "audit_status": "PASS", "scientific_status_unchanged": "FAIL", "qualification_input": False, + "updates_added": 0, "sampling_draws_added": 0, "seed": 0, + "candidate": CANDIDATE, "candidate_revision": quality["candidate_revision"], + "source_origin_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "task_contract_sha256": binding["task_contracts"][TASK], + "protocol_sha256": binding["protocol_sha256"], "rng_sha256": binding["rng_sha256"], + "attempt": published["attempt"], "original_readout": quality["raw_readout_archive"], + "quality_publication_sha256": digest(quality_path.read_bytes()), + "observations_sha256": digest(canonical(observations)), "observation_count": len(observations), + "passing_checks": sum(flags), "longest_passing_run": longest, "passing_suffix": suffix, + "required_terminal_checks": minimum, "endpoint_metrics": published["metrics"], + "gate_audit": [{"metric": t[0], "op": t[1], "threshold": t[2], "endpoint": endpoint[t[0]], + "endpoint_passes": passes(endpoint, t), "passing_checks": sum(passes(o, t) for o in observations)} for t in thresholds], + "detail": details, "effective_recipe": {k: record["recipe"][k] for k in + ("loss", "lr", "d_lr_mult", "prior_lr_mult", "prior_reg", "prior_regularizer", "optimizer_family", + "optimizer_smoothing", "batch_size", "z_dim", "num_particles", "reg_coeff", "ema_decay")}, + "prior": record["prior"], "initialization": record["initialization"], + "rng_stream_count": len(record["rng"]["bindings"]), + "consumed_stream_state_hashes": checkpoint["named_stream_state_sha256"], + "saved_samples": record["evidence"]["saved_observer_outputs"], + "provenance_checkpoint": {k: checkpoint[k] for k in ("sha256", "state_sha256", "purpose", "prerequisite_eligible")}, + "frozen_task_sha256": digest(task_bytes), "evaluated_sources": evaluated_sources, + "mechanism_sources": mechanism_sources, "convolution_parameters": 0, + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"]}, + "limitations": ["Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred."]} + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=Path(DEFAULT_ARCHIVE)) + parser.add_argument("--output", type=Path) + parser.add_argument("--check", action="store_true", help="Compare against committed compact result") + args = parser.parse_args() + result = audit(args.archive) + encoded = json.dumps(result, indent=2, sort_keys=True) + "\n" + if args.check: + assert json.loads(Path(__file__).with_name("result.json").read_text()) == result + print(f"PASS {TASK}: exact original readout, all 24 saved checks, frozen sources, projection and GIF; zero updates") + elif args.output: + args.output.write_text(encoded) + print(f"PASS {TASK}: wrote compact audit to {args.output}") + else: + print(encoded, end="") + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/vector_overlap/result.json b/reports/forge/leading-failures-20261022/vector_overlap/result.json new file mode 100644 index 000000000..1f9110689 --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_overlap/result.json @@ -0,0 +1,211 @@ +{ + "actual_training_gif": { + "path": "reports/forge/bispf-optimized/quality-media/vector_overlap.gif", + "sha256": "8822b09d4a2e69dce2214e087a6c1c51ee05e592a4fa7d30a4da475fdd57adfb" + }, + "attempt": "f68126b2dfe44d158054ed18be8960e6", + "audit_status": "PASS", + "candidate": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "consumed_stream_state_hashes": { + "[\"data\",\"target\",\"training\",\"cpu\"]": "e3d88c74d2a45b2a2dc89ff1d4907b619a73bbdd39f2d7aaa74a0ada271b2dca", + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "3045f927f809a4d4908bc8c70834e5a1f37ab046029bd3c739b743dff9e57661", + "[\"eval\",\"live\",\"samples\",\"cuda:0\"]": "1067194d546695c470f7ceb2d3429ebf5100aa20d0a5b67338ff8799d3dab369", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "9bc63913a6b09c5e108ba2075f73ce257dffc4b1919c25941f26fbeec4145af3", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "7fe5aab126065475c69fa5c8766a474858022b220b8d7433e5c7eb08df76dd46", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "4bdb79173bafeedeeb90175b343218558992caccfb1e7f774fb6c1752a458d49", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a0b49226e07f592fe36932dd116fdb33ee7bc58957e1fde22edbe653adf40a38" + }, + "convolution_parameters": 0, + "detail": { + "covariance_error_direction": "Not identifiable from covariance norm alone; sample matrices unavailable in readout.", + "last_two_covariance_errors": [ + 0.49821874499320984, + 0.5222957730293274 + ], + "passing_observation_steps": [ + 100, + 200, + 250, + 300, + 400, + 450, + 600, + 700, + 750, + 1050 + ] + }, + "effective_recipe": { + "batch_size": 128, + "d_lr_mult": 1.5, + "ema_decay": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "num_particles": 256, + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reg_coeff": 1.0, + "z_dim": 4 + }, + "endpoint_metrics": { + "covariance_error": 0.5222957730293274, + "mean_error": 0.10151220113039017, + "sample_count": 4096, + "step": 1200, + "sw1_normalized": 0.14908646786152607, + "target_scale": 0.8501437306404114 + }, + "evaluated_sources": { + "benchmarks/locked_shared/observation.py": "bd6f9845b44f1ec2a58d445727990ba5068c7aca3b6f981cf38d738a37c4513b", + "benchmarks/transfer_suite/protocol.py": "99469b022b790a18a74021a6fe49424d95f535afaa220643688a1ddd7a70ab89", + "benchmarks/transfer_suite/vector_tasks.py": "3ee4eb27759f61a430029c80b7772cac3dca2fb2ac84919ace0db94efca1e0b0" + }, + "frozen_task_sha256": "1b488aeaa3d7feca518a46e4a1abe3f73ae7b94e2e7417f45f63007cdd05a2ec", + "gate_audit": [ + { + "endpoint": 0.14908646786152607, + "endpoint_passes": true, + "metric": "sw1_normalized", + "op": "<=", + "passing_checks": 19, + "threshold": 0.18 + }, + { + "endpoint": 0.10151220113039017, + "endpoint_passes": true, + "metric": "mean_error", + "op": "<=", + "passing_checks": 12, + "threshold": 0.15 + }, + { + "endpoint": 0.5222957730293274, + "endpoint_passes": false, + "metric": "covariance_error", + "op": "<=", + "passing_checks": 21, + "threshold": 0.45 + } + ], + "initialization": { + "discriminator": { + "initial_state_sha256": "dfce1e190acd3e6ea14608db962b00a49bae053adf982189d5df57edf4e3a118", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "net.0.bias": 3734295931346225499, + "net.0.weight": 8910211641772985932, + "net.2.bias": 1656871869629328331, + "net.2.weight": 9070382962554913347, + "net.4.bias": 333772184539410714, + "net.4.weight": 3220091654461954378 + } + }, + "generator": { + "initial_state_sha256": "bfe1cd95c1a4b7e6832c0641ab678c1a52e9791486fe4778cd5a3b5e52288825", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "net.0.bias": 2669906441505372968, + "net.0.weight": 3213176745718584912, + "net.2.bias": 265576875384124118, + "net.2.weight": 5825468874490035566, + "net.4.bias": 6418902638380629685, + "net.4.weight": 3028787476376713866 + } + }, + "prior": { + "initial_state_sha256": "9291eccb6fa141312acf3eba12609ad0a3e0c369c3cfb70146a0dc500bc266af", + "initializer": "deterministic_orthogonal_named_parameters_v1", + "parameter_seeds": { + "z": 6640234621280078221 + } + } + }, + "limitations": [ + "Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred." + ], + "longest_passing_run": 3, + "mechanism_sources": { + "experiments/forge/adapters.py": { + "current_sha256": "04eaec8823d72177d54b6348ffd9c77bcc2971a239943f0d8b6a3cd8a73df532", + "frozen_sha256": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3" + }, + "particlegan/bispf.py": { + "current_sha256": "c97cef8942b6dc44b0f9dabab03ff25350cec37008eb6ed4aa72d62272a2d1a8", + "frozen_sha256": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58" + }, + "particlegan/optim/dualnorm.py": { + "current_sha256": "5b9a223c8765c5979af1e0592aad98ec0fac7bfdb6c9896f3a684d95f337107a", + "frozen_sha256": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9" + }, + "particlegan/particle_prior.py": { + "current_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f", + "frozen_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f" + }, + "particlegan/recipes.py": { + "current_sha256": "6c818b90544a67f833f5effea36868524041ff8009960b2a9a17188df133977a", + "frozen_sha256": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621" + }, + "particlegan/training.py": { + "current_sha256": "3711700bcb1700d9446fb6ced07d8d98188860ff219828ec91f49e3bb10b8344", + "frozen_sha256": "f84bf044405a1ea105350a260bfc903bade9b8d464ad80eb005b0e4a307a6c2b" + } + }, + "observation_count": 24, + "observations_sha256": "cfe8491fe2117ced5c62839f8cdca835d5e6d61cd18e166a709e9b56980c3496", + "original_readout": { + "bytes": 4926714, + "path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized/ordinary-quality-full-readout.json", + "sha256": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" + }, + "passing_checks": 10, + "passing_suffix": 0, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "provenance_checkpoint": { + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sha256": "b27f277e169ebeacc94d957bea69f3db4dda897a5bd44018b305f00fbd94540a", + "state_sha256": "8b560df4d04b19a8ac8e04eb05c02a768e433a33938f35790dbdbd050c2df540" + }, + "qualification_input": false, + "quality_publication_sha256": "5eb3bcf2986af87ed836c99e48e376082a3dee6ceda30bbd4c4635b3e3652cbe", + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "required_terminal_checks": 5, + "rng_sha256": "cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058", + "rng_stream_count": 14, + "sampling_draws_added": 0, + "saved_samples": { + "bytes": 794217, + "kind": "scored_vector_samples_v1", + "observation_count": 24, + "optimizer_updates_added": 0, + "path": "observed-samples.pt", + "sampling_draws_added": 0, + "sha256": "1fdd6b48fc6f79dd88459e924d6d220f2bcccdd50d7826fbe7bdaa1d9dccdb38" + }, + "schema": "bispf_existing_measurement_investigation_v1", + "scientific_status_unchanged": "FAIL", + "seed": 0, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "task": "vector_overlap", + "task_contract_sha256": "34d0af2239d4a224663aa1d94a55b3233bc9c5217bb85b2ced28b15b61d9933a", + "updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/vector_unequal_mass/README.md b/reports/forge/leading-failures-20261022/vector_unequal_mass/README.md new file mode 100644 index 000000000..090feacbb --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_mass/README.md @@ -0,0 +1,49 @@ +# BISPF failure investigation: vector_unequal_mass + +This investigation binds **`vector_unequal_mass`** to selected recipe **`bispf-optimized-quintic-v1`**, attempt **`c66ca8acc4634cf1920c23224cfc6faf`**, source **`d9d72d53761c898bce20102e1995fc3d899c1447`**, seed **0**. The [compact audited result](result.json) retains the full candidate/source/recipe/task/protocol/RNG hashes, initial model/prior hashes, consumed stream hashes and original artifact identities. The [current technique inventory](../../technique-inventory.md) remains the single leaderboard. This report makes no selection, qualification or default change. + +The frozen host is the public API MLP GAN: hidden width 64, two layers, discriminator Fourier setting 2, latent dimension 4, 256 learned MoG locations, fixed sigma .025 and uniform latent mixture weights, batch 128, **1,200 updates**, **24 checks spaced 50 updates apart**, 4,096 clean live public-prior samples per check, and five passing terminal checks. Actual recipe values are lr .012, critic multiplier 1.5, prior multiplier 2.5, SBNP prior regularization .01, smoothed DualNorm .001, no EMA serving and no output noise. The actual adversarial loss is **`non_saturating`**. `Recipe.make_loss` activates `SinkhornRelativisticLoss` only for `loss=relativistic`, so that paired adversarial loss is inactive here. Sinkhorn coupling is active inside the **critic penalty**, where it selects transport chords and measures the cooling residual. Legacy host optimizer values are inactive provenance, not the executed recipe. The run uses the public deterministic initializer and named seed-0 streams; no identity/zero fixture is substituted. + +The selected BISPF run loses the rare component after temporarily populating it. It also retains large full-component covariance errors in two common components. The rare component is absent at every scheduled check from update 400 through 1,200. This is a coverage-and-shape failure, and the original sustained FAIL remains unchanged. + +At updates 200, 250, 300 and 350, the rare component has 175, 263, 216 and 216 nearest-centre assignments out of 4,096; the endpoint counts are **2,488 / 1,203 / 405 / 0**, against target masses **.55 / .30 / .13 / .02**. No scheduled observation passes all gates. Mass TV passes 23/24 checks and SW passes 19/24, showing why these aggregate distances cannot replace the explicit rare gate. Full-component covariance fails 24/24. + +The scorer assigns by nearest target centre, computes covariance around the assigned sample mean, and returns shape error 1 and eigen ratio 0 for fewer than ten assigned samples. Thus the rare eigen ratio of zero is an **empty-component sentinel**, not evidence of a measured flattened ellipse. Common-component full covariance errors are **3.04735 / 2.34933 / .67387**, while their four-sigma-core errors are **.25514 / .41184 / .67387**. The first two components therefore have large contributions outside the scored core; their exact outlier geometry requires the original sample tensors. Removing those tails would still leave zero rare occupancy. + +The current problem-list prose describes an earlier BISPF run with retained rare mass and eigen ratio .004. That explanation does not describe this selected measurement. The older [BISPF-v1 result](../../bispf/README.md) remains separate: its minimum mass ratio .45166 cannot be substituted for this run's zero. + +The 2% target supplies 2.56 rare examples per batch of 128 in expectation. A true-target IID sample of 4,096 has probability approximately **1.15e-36** of containing no rare draws. This is an illustrative target-law calculation; nearest-centre assignment and learned sampling are separately defined. Repeated zero assigned samples provide evidence of a served coverage defect. They do not identify which update field caused its onset. + +The frozen BISPF code uses detached, median-distance-scaled Sinkhorn coupling inside the critic penalty, a gradient cap plus floor on endpoint/chord critic gradients, and latent SBNP regularization. These do not directly enforce a nonzero output population per target component. Uniform prior mixture weights do not enforce uniform or prescribed output-component occupancy: many learned rows may map to the same component. Conversely, five expected prior rows for a 2% component do not establish an impossibility for the nonzero-width learned MoG. + +The loss of rare assignments occurs between scheduled observations 350 and 400. The continuous-flow branch starts at critic call 500, gauge growth at 1,000, and the special harmonic lock at 1,650. Those later branches cannot explain the already observed onset; ordinary residual cooling is present earlier and remains unmeasured here. There are no convolution parameters, so the selected quintic convolution change supplies no causal explanation. + +Earlier [test dispositions](../../test-dispositions-20261015/README.md#vector_unequal_mass) and [round-five transport research](../../bcap-physics/round5/README.md) contain passing rare-mass configurations with unequal-width, Gaussian or mode-hold regressions. These are distinct recipes and source cohorts. They motivate measuring population and shape separately; they provide no BISPF repair or qualification credit. + +Recommended next diagnostic: recover the exact existing observed-sample tensor named in `result.json` and inspect only updates **300, 350, 400, 450 and 1,200**, with zero optimizer updates and no additional draws, under a **60 CPU-second** cap. Count assignments and four-/five-sigma tails per component; confirm the 350-to-400 disappearance independently. Falsifier: byte-exact samples do not reproduce the stored assignment counts. Recover the original endpoint provenance checkpoint next, then enumerate each prior row through the frozen public API to distinguish missing output-centre support from kernels whose mass lies away from their centres. The latter is a separate inference-only diagnostic with its own explicit draw budget. Endpoint enumeration cannot recover the causal update at 350–400; absent an intermediate checkpoint, stop causal attribution rather than retrain the unchanged run. + +| Metric | Endpoint | Gate | Endpoint result | Passing checks | +| --- | ---: | --- | --- | ---: | +| `sw1_normalized` | 0.10174357 | <= 0.18 | PASS | 19/24 | +| `mass_tv` | 0.057421871 | <= 0.15 | PASS | 23/24 | +| `hq` | 0.97729492 | >= 0.85 | PASS | 19/24 | +| `component_covariance_error` | 1.7676393 | <= 0.85 | FAIL | 0/24 | +| `component_min_eigen_ratio` | 0 | >= 0.15 | FAIL | 4/24 | +| `min_mass_ratio` | 0 | >= 0.25 | FAIL | 4/24 | + +Mechanism statements above refer to the **frozen source**, not current develop: [BISPF loss, SBNP and thermal branches](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py), [normalized optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py), [prior construction/regularizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py), [public trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py), and [vector adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py). The scorer's [component/distribution definitions](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/transfer_suite/vector_tasks.py) and the [task gates](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/configs/forge/tasks/vector_unequal_mass.json) retain their actual nonzero-width MoG, clean-live law. Frozen/current source hashes are both recorded because these implementations have since changed. + +The read-only [audit](audit.py) verifies the **byte-exact original 4,926,714-byte readout** (SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`), every projected endpoint scalar, all 24 saved observations, individual metric pass counts, complete passing runs, frozen task/evaluator sources, selected row identity and the existing actual-training GIF hash. This is saved-evidence verification through receipts of the actual `public_trainer` execution; it adds no toy training test, optimizer step or sample. The [existing actual-training GIF](../../bispf-optimized/quality-media/vector_unequal_mass.gif) and [source receipt](../../bispf-optimized/quality-media/vector_unequal_mass.json) illustrate the same failed run. + +The original author's `/home/martyn/dev/...` path is absent here. The original readout was recovered at the location declared by the [storage migration receipt](../../bispf-optimized/storage-migration.json), and its digest matches the [quality publication](../../bispf-optimized/quality.json). Sample/checkpoint hashes in `result.json` are **recorded identities**, not a claim that their contents were recovered or verified in this investigation. They are required for the proposed deeper probes. Missing originals stop those probes; they do not authorize unchanged retraining. + +Run from this worktree's root (Python standard library only): + +```sh +mkdir -p runs/forge/leading-failures-20261022/vector_unequal_mass +python -u reports/forge/leading-failures-20261022/vector_unequal_mass/audit.py --check \ + > runs/forge/leading-failures-20261022/vector_unequal_mass/audit.log 2>&1 +tail -F runs/forge/leading-failures-20261022/vector_unequal_mass/audit.log +``` + +Pass `--archive /path/to/original-readout.json` to relocate the exact original. The SHA check rejects summaries or other readouts. `--output` can regenerate the compact result. This completed audit costs under one CPU second; its reproduction allowance is 60 CPU seconds, zero GPU reservations and zero training updates. Bulk logs/tensors remain outside Git. No seed experiment, unchanged rerun, new leaderboard or historical regrade is included. diff --git a/reports/forge/leading-failures-20261022/vector_unequal_mass/audit.py b/reports/forge/leading-failures-20261022/vector_unequal_mass/audit.py new file mode 100644 index 000000000..5edc0ff4a --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_mass/audit.py @@ -0,0 +1,184 @@ +#!/usr/bin/env python3 +"""Zero-training audit of an existing public-trainer BISPF measurement. + +Requires the original readout; summaries cannot replace it. No model construction, +training, sampling, requalification, or leaderboard publication occurs. +""" +from __future__ import annotations +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "vector_unequal_mass" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +DEFAULT_ARCHIVE = "/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json" +ROOT = Path(__file__).resolve().parents[4] + + +def digest(data): + return hashlib.sha256(data).hexdigest() + + +def canonical(value): + return json.dumps(value, sort_keys=True, separators=(",", ":")).encode() + + +def frozen(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def passes(row, threshold): + key, op, bound = threshold + value = row[key] + assert type(value) in (int, float) and math.isfinite(value) + assert op in ("<=", ">=") + return value <= bound if op == "<=" else value >= bound + + +def audit(archive): + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = json.loads(quality_path.read_bytes()) + data = archive.read_bytes() + assert digest(data) == quality["raw_readout_archive"]["sha256"] + assert len(data) == quality["raw_readout_archive"]["bytes"] + raw = json.loads(data) + assert raw["candidate_id"] == quality["candidate"] == CANDIDATE + assert raw["candidate_revision"] == quality["candidate_revision"] + assert quality["source_commit"] == SOURCE and quality["seed"] == 0 + records = [r for r in raw["task_results"] if r["task_id"] == TASK] + selected = [r for r in quality["rows"] if r["task"] == TASK] + assert len(records) == len(selected) == 1 + record, published = records[0], selected[0] + assert record["_attempt_id"] == published["attempt"] + assert record["status"] == published["status"] == "FAIL" + assert record["execution_path"] == "public_trainer" + assert record["rng"]["seed"] == 0 + for key, value in published["metrics"].items(): + assert record["metrics"][key] == value, key + assert digest(canonical(record["metrics"])) == published["final_metrics_sha256"] + board = json.loads((ROOT / "reports/forge/technique-inventory.json").read_bytes()) + leaders = [r for r in board["rows"] if r["candidate_id"] == CANDIDATE] + assert len(leaders) == 1 + binding = leaders[0]["bindings"] + assert binding["source_origin_commit"] == SOURCE + assert binding["recipe_sha256"] == quality["global_recipe_sha256"] + assert published["attempt"] in leaders[0]["attempt_ids"] + task_path = f"configs/forge/tasks/{TASK}.json" + task_bytes = frozen(task_path) + task = json.loads(task_bytes) + assert task["execution"]["host_definition"] == record["evidence"]["host"]["definition"] + assert task["execution"]["prior"] == record["initial_prior"] + assert record["prior"] == {"kind": "mog", "learnable": True, "sigma": .025, "standardize": False} + assert record["initializer"] == "deterministic_orthogonal" + assert published["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + assert record["recipe"]["prior_regularizer"] == "sbnp" + assert record["recipe"]["loss"] == "non_saturating" + assert record["recipe"]["optimizer_convolution_rule"] == "quintic" + assert record["recipe"]["total_steps"] == task["execution"]["steps"] == 1200 + host_models = record["evidence"]["host"]["models"] + assert all(len(shape) <= 2 for model in host_models.values() + for shape in model["parameter_shapes"].values()) + assert all("SimpleMLP" in model["class"] for model in host_models.values()) + thresholds = task["evaluation"]["thresholds"] + observations = record["evidence"]["observations"] + assert [r["step"] for r in observations] == list(range(50, 1201, 50)) + assert observations[-1] == record["metrics"] + flags = [all(passes(o, t) for t in thresholds) for o in observations] + longest = suffix = 0 + for flag in flags: + suffix = suffix + 1 if flag else 0 + longest = max(longest, suffix) + convergence = published["evaluator_summary"]["convergence"] + assert sum(flags) == convergence["passing_observations"] + assert suffix == convergence["passing_suffix"] == 0 + minimum = task["evaluation"]["minimum_stable_checks"] + assert minimum == 5 and suffix < minimum + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = json.loads(media_path.read_bytes()) + gif_path = media_path.with_suffix(".gif") + assert digest(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["kind"] == "actual_training_saved_observations_gif" + assert media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + evaluated_sources = {} + for path, expected in task["evaluation"]["sources"].items(): + actual = digest(frozen(path)) + assert actual == expected, path + evaluated_sources[path] = actual + mechanism_sources = {} + for path in ("particlegan/bispf.py", "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/training.py", "particlegan/particle_prior.py", "experiments/forge/adapters.py"): + mechanism_sources[path] = {"frozen_sha256": digest(frozen(path)), + "current_sha256": digest((ROOT / path).read_bytes())} + endpoint = record["metrics"] + details = {key: endpoint[key] for key in ("component_counts", "component_mass", "target_mass", + "component_covariance_errors", "component_core_covariance_errors", "component_core_eigen_ratios", + "component_spill") if key in endpoint} + if TASK == "vector_unequal_mass": + rare = len(task["execution"]["host_definition"]["masses"]) - 1 + occupied = [o["step"] for o in observations if o["component_counts"][rare] >= 10] + details.update(rare_shape_supported_observation_steps=occupied, + rare_absent_terminal_checks=sum(o["component_counts"][rare] == 0 for o in observations if o["step"] >= 400), + target_rare_expected_per_training_batch=.02 * 128, + true_target_probability_zero_rare_in_4096=.98 ** 4096) + if TASK == "vector_unequal_width": + details["component_1_share_of_summed_full_covariance_error"] = endpoint["component_covariance_errors"][1] / sum(endpoint["component_covariance_errors"]) + details["full_to_core_covariance_error_ratio"] = endpoint["component_covariance_error"] / endpoint["component_core_covariance_error"] + if TASK == "vector_overlap": + details["passing_observation_steps"] = [o["step"] for o, flag in zip(observations, flags) if flag] + details["last_two_covariance_errors"] = [o["covariance_error"] for o in observations[-2:]] + details["covariance_error_direction"] = "Not identifiable from covariance norm alone; sample matrices unavailable in readout." + checkpoint = record["evidence"]["provenance_checkpoint"] + return {"schema": "bispf_existing_measurement_investigation_v1", "task": TASK, + "audit_status": "PASS", "scientific_status_unchanged": "FAIL", "qualification_input": False, + "updates_added": 0, "sampling_draws_added": 0, "seed": 0, + "candidate": CANDIDATE, "candidate_revision": quality["candidate_revision"], + "source_origin_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "task_contract_sha256": binding["task_contracts"][TASK], + "protocol_sha256": binding["protocol_sha256"], "rng_sha256": binding["rng_sha256"], + "attempt": published["attempt"], "original_readout": quality["raw_readout_archive"], + "quality_publication_sha256": digest(quality_path.read_bytes()), + "observations_sha256": digest(canonical(observations)), "observation_count": len(observations), + "passing_checks": sum(flags), "longest_passing_run": longest, "passing_suffix": suffix, + "required_terminal_checks": minimum, "endpoint_metrics": published["metrics"], + "gate_audit": [{"metric": t[0], "op": t[1], "threshold": t[2], "endpoint": endpoint[t[0]], + "endpoint_passes": passes(endpoint, t), "passing_checks": sum(passes(o, t) for o in observations)} for t in thresholds], + "detail": details, "effective_recipe": {k: record["recipe"][k] for k in + ("loss", "lr", "d_lr_mult", "prior_lr_mult", "prior_reg", "prior_regularizer", "optimizer_family", + "optimizer_smoothing", "batch_size", "z_dim", "num_particles", "reg_coeff", "ema_decay")}, + "prior": record["prior"], "initialization": record["initialization"], + "rng_stream_count": len(record["rng"]["bindings"]), + "consumed_stream_state_hashes": checkpoint["named_stream_state_sha256"], + "saved_samples": record["evidence"]["saved_observer_outputs"], + "provenance_checkpoint": {k: checkpoint[k] for k in ("sha256", "state_sha256", "purpose", "prerequisite_eligible")}, + "frozen_task_sha256": digest(task_bytes), "evaluated_sources": evaluated_sources, + "mechanism_sources": mechanism_sources, "convolution_parameters": 0, + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"]}, + "limitations": ["Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred."]} + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=Path(DEFAULT_ARCHIVE)) + parser.add_argument("--output", type=Path) + parser.add_argument("--check", action="store_true", help="Compare against committed compact result") + args = parser.parse_args() + result = audit(args.archive) + encoded = json.dumps(result, indent=2, sort_keys=True) + "\n" + if args.check: + assert json.loads(Path(__file__).with_name("result.json").read_text()) == result + print(f"PASS {TASK}: exact original readout, all 24 saved checks, frozen sources, projection and GIF; zero updates") + elif args.output: + args.output.write_text(encoded) + print(f"PASS {TASK}: wrote compact audit to {args.output}") + else: + print(encoded, end="") + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/vector_unequal_mass/result.json b/reports/forge/leading-failures-20261022/vector_unequal_mass/result.json new file mode 100644 index 000000000..b9a3378b7 --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_mass/result.json @@ -0,0 +1,280 @@ +{ + "actual_training_gif": { + "path": "reports/forge/bispf-optimized/quality-media/vector_unequal_mass.gif", + "sha256": "d16014c4e7c722bbac6cb15194127f5fd437c68e6191d4c63f5040d7f4bdb8fe" + }, + "attempt": "c66ca8acc4634cf1920c23224cfc6faf", + "audit_status": "PASS", + "candidate": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "consumed_stream_state_hashes": { + "[\"data\",\"target\",\"training\",\"cpu\"]": "e3d88c74d2a45b2a2dc89ff1d4907b619a73bbdd39f2d7aaa74a0ada271b2dca", + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "3045f927f809a4d4908bc8c70834e5a1f37ab046029bd3c739b743dff9e57661", + "[\"eval\",\"live\",\"samples\",\"cuda:0\"]": "1067194d546695c470f7ceb2d3429ebf5100aa20d0a5b67338ff8799d3dab369", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "9bc63913a6b09c5e108ba2075f73ce257dffc4b1919c25941f26fbeec4145af3", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "7fe5aab126065475c69fa5c8766a474858022b220b8d7433e5c7eb08df76dd46", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "4bdb79173bafeedeeb90175b343218558992caccfb1e7f774fb6c1752a458d49", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a0b49226e07f592fe36932dd116fdb33ee7bc58957e1fde22edbe653adf40a38" + }, + "convolution_parameters": 0, + "detail": { + "component_core_covariance_errors": [ + 0.25514453649520874, + 0.411836713552475, + 0.6738731861114502, + 1.0 + ], + "component_core_eigen_ratios": [ + 0.6919046640396118, + 0.4720337688922882, + 0.25853991508483887, + 0.0 + ], + "component_counts": [ + 2488, + 1203, + 405, + 0 + ], + "component_covariance_errors": [ + 3.0473530292510986, + 2.3493311405181885, + 0.6738731861114502, + 1.0 + ], + "component_mass": [ + 0.607421875, + 0.293701171875, + 0.098876953125, + 0.0 + ], + "component_spill": [ + 0.018488746136426926, + 0.02493765577673912, + 0.04197530820965767, + 1.0 + ], + "rare_absent_terminal_checks": 17, + "rare_shape_supported_observation_steps": [ + 200, + 250, + 300, + 350 + ], + "target_mass": [ + 0.550000011920929, + 0.30000001192092896, + 0.12999999523162842, + 0.019999999552965164 + ], + "target_rare_expected_per_training_batch": 2.56, + "true_target_probability_zero_rare_in_4096": 1.153469290310254e-36 + }, + "effective_recipe": { + "batch_size": 128, + "d_lr_mult": 1.5, + "ema_decay": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "num_particles": 256, + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reg_coeff": 1.0, + "z_dim": 4 + }, + "endpoint_metrics": { + "component_core_covariance_error": 0.5852136090397835, + "component_core_min_eigen_ratio": 0.0, + "component_covariance_error": 1.7676393389701843, + 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"parameter_seeds": { + "z": 6640234621280078221 + } + } + }, + "limitations": [ + "Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred." + ], + "longest_passing_run": 0, + "mechanism_sources": { + "experiments/forge/adapters.py": { + "current_sha256": "04eaec8823d72177d54b6348ffd9c77bcc2971a239943f0d8b6a3cd8a73df532", + "frozen_sha256": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3" + }, + "particlegan/bispf.py": { + "current_sha256": "c97cef8942b6dc44b0f9dabab03ff25350cec37008eb6ed4aa72d62272a2d1a8", + "frozen_sha256": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58" + }, + "particlegan/optim/dualnorm.py": { + "current_sha256": "5b9a223c8765c5979af1e0592aad98ec0fac7bfdb6c9896f3a684d95f337107a", + "frozen_sha256": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9" + }, + "particlegan/particle_prior.py": { + 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"prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "provenance_checkpoint": { + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sha256": "245d73ef2aed6822b4f42162a4ff981bd6f753c6b1be114a725d0c49ba86a3c7", + "state_sha256": "cac28d79efdab331886ae7edaa251b5a5c2277a8226e63c0ef8de10e0103addc" + }, + "qualification_input": false, + "quality_publication_sha256": "5eb3bcf2986af87ed836c99e48e376082a3dee6ceda30bbd4c4635b3e3652cbe", + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "required_terminal_checks": 5, + "rng_sha256": "cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058", + "rng_stream_count": 14, + "sampling_draws_added": 0, + "saved_samples": { + "bytes": 794217, + "kind": "scored_vector_samples_v1", + "observation_count": 24, + "optimizer_updates_added": 0, + "path": "observed-samples.pt", + "sampling_draws_added": 0, + "sha256": "98173bb8ba7a62277f26dd8b335cdbbeffd23fa8e497de20bfe38655aaf2a2c2" + }, + "schema": "bispf_existing_measurement_investigation_v1", + "scientific_status_unchanged": "FAIL", + "seed": 0, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "task": "vector_unequal_mass", + "task_contract_sha256": "df3c2bdf9e462117866dd5aab3939c9d80596314da73863442d62a25585b5276", + "updates_added": 0 +} diff --git a/reports/forge/leading-failures-20261022/vector_unequal_width/README.md b/reports/forge/leading-failures-20261022/vector_unequal_width/README.md new file mode 100644 index 000000000..bf13f3c2e --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_width/README.md @@ -0,0 +1,44 @@ +# BISPF failure investigation: vector_unequal_width + +This investigation binds **`vector_unequal_width`** to selected recipe **`bispf-optimized-quintic-v1`**, attempt **`7d0d9f6b12354275b1be7310ca74d34b`**, source **`d9d72d53761c898bce20102e1995fc3d899c1447`**, seed **0**. The [compact audited result](result.json) retains the full candidate/source/recipe/task/protocol/RNG hashes, initial model/prior hashes, consumed stream hashes and original artifact identities. The [current technique inventory](../../technique-inventory.md) remains the single leaderboard. This report makes no selection, qualification or default change. + +The frozen host is the public API MLP GAN: hidden width 64, two layers, discriminator Fourier setting 2, latent dimension 4, 256 learned MoG locations, fixed sigma .025 and uniform latent mixture weights, batch 128, **1,200 updates**, **24 checks spaced 50 updates apart**, 4,096 clean live public-prior samples per check, and five passing terminal checks. Actual recipe values are lr .012, critic multiplier 1.5, prior multiplier 2.5, SBNP prior regularization .01, smoothed DualNorm .001, no EMA serving and no output noise. The actual adversarial loss is **`non_saturating`**. `Recipe.make_loss` activates `SinkhornRelativisticLoss` only for `loss=relativistic`, so that paired adversarial loss is inactive here. Sinkhorn coupling is active inside the **critic penalty**, where it selects transport chords and measures the cooling residual. Legacy host optimizer values are inactive provenance, not the executed recipe. The run uses the public deterministic initializer and named seed-0 streams; no identity/zero fixture is substituted. + +The selected BISPF run persistently assigns the wrong probabilities and fails both tail-sensitive spread and a narrow-axis shape gate. All 24 scheduled checks fail mass TV, SW distance and full-component covariance. This failure never reaches a complete passing scheduled observation; extending a successful terminal suffix is therefore not its current problem. + +The endpoint counts are **1,490 / 256 / 1,695 / 655** against equal target masses. The component with standard deviation .12 receives **6.25%**, versus the required target 25%; the .20 component receives **41.38%**. The endpoint's high HQ (.98193) says most samples lie near some valid component, not that their allocation is correct. + +The .12-width component's full covariance error is **37.34861**, compared with its four-sigma-core error **.66325** and spill **.109375**. It contributes **96.39%** of the sum behind the averaged full covariance error 9.68690. The core/full difference localizes a substantial tail contribution to this particular underpopulated component. It does not tell whether those samples are bridge points, generated kernel tails or misassigned outputs without the saved sample tensor. + +There is also a separate narrow-axis defect: the .07-width component's core minimum eigen ratio is **.09347**, below the unchanged .15 gate, and its core covariance error is .82744. Deleting tails or substituting a core-only scorer would not repair that narrow axis or mass TV .27759. All-component full covariance remains the actual Forge gate; current upstream finite-atom exemptions are inapplicable to this learned MoG cohort. + +The frozen source normalizes dense network gradients using smoothed polar directions and sampled prior-row gradients by their row norms. Output gradients pass through a shared MLP, so separate target widths and component weights need not yield independent finite output motions. This is a plausible force-coupling mechanism, not a measured causal attribution: the archived readout has no per-update parameter-gradient decomposition. SBNP constrains latent moments and repulsion; it does not explicitly calibrate each generated component's width or occupancy. Its local 2D circularization branch does not apply to this **four-dimensional** prior. The late harmonic lock starts at call 1,650, beyond this run's 1,200 updates. The quintic path requires convolution parameters and does not execute on these MLPs. + +The problem list's earlier BISPF mass TV near .25 and passing-shape explanation must remain attached to its older source. This selected endpoint has mass TV .27759, full covariance 9.68690 and a failing eigen ratio .09347. The [historical BISPF report](../../bispf/README.md) is context, not an interchangeable baseline. The [round-five balanced-assignment reference](../../bcap-physics/round5/README.md) passes width with 14 terminal checks and full covariance .286062 while losing rare/Gaussian/native gates. The [test dispositions](../../test-dispositions-20261015/README.md#vector_unequal_width) retain other partial repairs and their regressions. None is evidence that the selected global BISPF recipe is repaired. + +Recommended next diagnostic: recover the exact existing observed-sample tensor, then inspect updates **300, 600, 900 and 1,200**, with zero optimizer updates, zero extra draws and a **60 CPU-second** cap. For each component, report assigned count, four-sigma-core count, full/core covariance matrices and five-sigma-spill contribution. Prediction: component index 1 remains the dominant full-minus-core contributor, while index 0 independently fails its narrow-axis gate. Falsifier: original tensors reproduce neither attribution despite matching the full published metrics. If a verified endpoint provenance checkpoint is recovered, separately enumerate public-API `G(prior location)` and bounded conditional MoG draws to partition centre spread and conditional jitter. Until that partition is measured, avoid choosing another SBNP weight, freezing policy or force-filter change. Any subsequent training comparison needs one declared global trainer delta and the unchanged rare/broad/ring/mode-hold controls. + +| Metric | Endpoint | Gate | Endpoint result | Passing checks | +| --- | ---: | --- | --- | ---: | +| `sw1_normalized` | 0.28738253 | <= 0.18 | FAIL | 0/24 | +| `mass_tv` | 0.27758789 | <= 0.15 | FAIL | 0/24 | +| `hq` | 0.98193359 | >= 0.85 | PASS | 20/24 | +| `component_covariance_error` | 9.6869028 | <= 0.85 | FAIL | 0/24 | +| `component_min_eigen_ratio` | 0.093470313 | >= 0.15 | FAIL | 14/24 | + +Mechanism statements above refer to the **frozen source**, not current develop: [BISPF loss, SBNP and thermal branches](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/bispf.py), [normalized optimizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/optim/dualnorm.py), [prior construction/regularizer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/recipes.py), [public trainer](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/particlegan/training.py), and [vector adapter](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/experiments/forge/adapters.py). The scorer's [component/distribution definitions](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/benchmarks/transfer_suite/vector_tasks.py) and the [task gates](https://github.com/255BITS/ParticleGAN/blob/d9d72d53761c898bce20102e1995fc3d899c1447/configs/forge/tasks/vector_unequal_width.json) retain their actual nonzero-width MoG, clean-live law. Frozen/current source hashes are both recorded because these implementations have since changed. + +The read-only [audit](audit.py) verifies the **byte-exact original 4,926,714-byte readout** (SHA-256 `50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe`), every projected endpoint scalar, all 24 saved observations, individual metric pass counts, complete passing runs, frozen task/evaluator sources, selected row identity and the existing actual-training GIF hash. This is saved-evidence verification through receipts of the actual `public_trainer` execution; it adds no toy training test, optimizer step or sample. The [existing actual-training GIF](../../bispf-optimized/quality-media/vector_unequal_width.gif) and [source receipt](../../bispf-optimized/quality-media/vector_unequal_width.json) illustrate the same failed run. + +The original author's `/home/martyn/dev/...` path is absent here. The original readout was recovered at the location declared by the [storage migration receipt](../../bispf-optimized/storage-migration.json), and its digest matches the [quality publication](../../bispf-optimized/quality.json). Sample/checkpoint hashes in `result.json` are **recorded identities**, not a claim that their contents were recovered or verified in this investigation. They are required for the proposed deeper probes. Missing originals stop those probes; they do not authorize unchanged retraining. + +Run from this worktree's root (Python standard library only): + +```sh +mkdir -p runs/forge/leading-failures-20261022/vector_unequal_width +python -u reports/forge/leading-failures-20261022/vector_unequal_width/audit.py --check \ + > runs/forge/leading-failures-20261022/vector_unequal_width/audit.log 2>&1 +tail -F runs/forge/leading-failures-20261022/vector_unequal_width/audit.log +``` + +Pass `--archive /path/to/original-readout.json` to relocate the exact original. The SHA check rejects summaries or other readouts. `--output` can regenerate the compact result. This completed audit costs under one CPU second; its reproduction allowance is 60 CPU seconds, zero GPU reservations and zero training updates. Bulk logs/tensors remain outside Git. No seed experiment, unchanged rerun, new leaderboard or historical regrade is included. diff --git a/reports/forge/leading-failures-20261022/vector_unequal_width/audit.py b/reports/forge/leading-failures-20261022/vector_unequal_width/audit.py new file mode 100644 index 000000000..b338ad6bc --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_width/audit.py @@ -0,0 +1,184 @@ +#!/usr/bin/env python3 +"""Zero-training audit of an existing public-trainer BISPF measurement. + +Requires the original readout; summaries cannot replace it. No model construction, +training, sampling, requalification, or leaderboard publication occurs. +""" +from __future__ import annotations +import argparse +import hashlib +import json +import math +from pathlib import Path +import subprocess + +TASK = "vector_unequal_width" +SOURCE = "d9d72d53761c898bce20102e1995fc3d899c1447" +CANDIDATE = "bispf-optimized-quintic-v1" +DEFAULT_ARCHIVE = "/mnt/ml7tb/ParticleGAN-forge/bispf-optimized-20261016/ordinary-quality-full-readout.json" +ROOT = Path(__file__).resolve().parents[4] + + +def digest(data): + return hashlib.sha256(data).hexdigest() + + +def canonical(value): + return json.dumps(value, sort_keys=True, separators=(",", ":")).encode() + + +def frozen(path): + return subprocess.check_output(["git", "show", f"{SOURCE}:{path}"], cwd=ROOT) + + +def passes(row, threshold): + key, op, bound = threshold + value = row[key] + assert type(value) in (int, float) and math.isfinite(value) + assert op in ("<=", ">=") + return value <= bound if op == "<=" else value >= bound + + +def audit(archive): + quality_path = ROOT / "reports/forge/bispf-optimized/quality.json" + quality = json.loads(quality_path.read_bytes()) + data = archive.read_bytes() + assert digest(data) == quality["raw_readout_archive"]["sha256"] + assert len(data) == quality["raw_readout_archive"]["bytes"] + raw = json.loads(data) + assert raw["candidate_id"] == quality["candidate"] == CANDIDATE + assert raw["candidate_revision"] == quality["candidate_revision"] + assert quality["source_commit"] == SOURCE and quality["seed"] == 0 + records = [r for r in raw["task_results"] if r["task_id"] == TASK] + selected = [r for r in quality["rows"] if r["task"] == TASK] + assert len(records) == len(selected) == 1 + record, published = records[0], selected[0] + assert record["_attempt_id"] == published["attempt"] + assert record["status"] == published["status"] == "FAIL" + assert record["execution_path"] == "public_trainer" + assert record["rng"]["seed"] == 0 + for key, value in published["metrics"].items(): + assert record["metrics"][key] == value, key + assert digest(canonical(record["metrics"])) == published["final_metrics_sha256"] + board = json.loads((ROOT / "reports/forge/technique-inventory.json").read_bytes()) + leaders = [r for r in board["rows"] if r["candidate_id"] == CANDIDATE] + assert len(leaders) == 1 + binding = leaders[0]["bindings"] + assert binding["source_origin_commit"] == SOURCE + assert binding["recipe_sha256"] == quality["global_recipe_sha256"] + assert published["attempt"] in leaders[0]["attempt_ids"] + task_path = f"configs/forge/tasks/{TASK}.json" + task_bytes = frozen(task_path) + task = json.loads(task_bytes) + assert task["execution"]["host_definition"] == record["evidence"]["host"]["definition"] + assert task["execution"]["prior"] == record["initial_prior"] + assert record["prior"] == {"kind": "mog", "learnable": True, "sigma": .025, "standardize": False} + assert record["initializer"] == "deterministic_orthogonal" + assert published["sampling"] == {"eval_output_noise": "clean", "sampling_contract_version": 1, + "sampling_law": "public_prior_without_output_noise"} + assert record["recipe"]["prior_regularizer"] == "sbnp" + assert record["recipe"]["loss"] == "non_saturating" + assert record["recipe"]["optimizer_convolution_rule"] == "quintic" + assert record["recipe"]["total_steps"] == task["execution"]["steps"] == 1200 + host_models = record["evidence"]["host"]["models"] + assert all(len(shape) <= 2 for model in host_models.values() + for shape in model["parameter_shapes"].values()) + assert all("SimpleMLP" in model["class"] for model in host_models.values()) + thresholds = task["evaluation"]["thresholds"] + observations = record["evidence"]["observations"] + assert [r["step"] for r in observations] == list(range(50, 1201, 50)) + assert observations[-1] == record["metrics"] + flags = [all(passes(o, t) for t in thresholds) for o in observations] + longest = suffix = 0 + for flag in flags: + suffix = suffix + 1 if flag else 0 + longest = max(longest, suffix) + convergence = published["evaluator_summary"]["convergence"] + assert sum(flags) == convergence["passing_observations"] + assert suffix == convergence["passing_suffix"] == 0 + minimum = task["evaluation"]["minimum_stable_checks"] + assert minimum == 5 and suffix < minimum + media_path = ROOT / f"reports/forge/bispf-optimized/quality-media/{TASK}.json" + media = json.loads(media_path.read_bytes()) + gif_path = media_path.with_suffix(".gif") + assert digest(gif_path.read_bytes()) == media["gif_sha256"] + assert media["recorded_grade"] == "FAIL" and media["kind"] == "actual_training_saved_observations_gif" + assert media["optimizer_updates_added"] == media["sampling_draws_added"] == 0 + evaluated_sources = {} + for path, expected in task["evaluation"]["sources"].items(): + actual = digest(frozen(path)) + assert actual == expected, path + evaluated_sources[path] = actual + mechanism_sources = {} + for path in ("particlegan/bispf.py", "particlegan/optim/dualnorm.py", "particlegan/recipes.py", + "particlegan/training.py", "particlegan/particle_prior.py", "experiments/forge/adapters.py"): + mechanism_sources[path] = {"frozen_sha256": digest(frozen(path)), + "current_sha256": digest((ROOT / path).read_bytes())} + endpoint = record["metrics"] + details = {key: endpoint[key] for key in ("component_counts", "component_mass", "target_mass", + "component_covariance_errors", "component_core_covariance_errors", "component_core_eigen_ratios", + "component_spill") if key in endpoint} + if TASK == "vector_unequal_mass": + rare = len(task["execution"]["host_definition"]["masses"]) - 1 + occupied = [o["step"] for o in observations if o["component_counts"][rare] >= 10] + details.update(rare_shape_supported_observation_steps=occupied, + rare_absent_terminal_checks=sum(o["component_counts"][rare] == 0 for o in observations if o["step"] >= 400), + target_rare_expected_per_training_batch=.02 * 128, + true_target_probability_zero_rare_in_4096=.98 ** 4096) + if TASK == "vector_unequal_width": + details["component_1_share_of_summed_full_covariance_error"] = endpoint["component_covariance_errors"][1] / sum(endpoint["component_covariance_errors"]) + details["full_to_core_covariance_error_ratio"] = endpoint["component_covariance_error"] / endpoint["component_core_covariance_error"] + if TASK == "vector_overlap": + details["passing_observation_steps"] = [o["step"] for o, flag in zip(observations, flags) if flag] + details["last_two_covariance_errors"] = [o["covariance_error"] for o in observations[-2:]] + details["covariance_error_direction"] = "Not identifiable from covariance norm alone; sample matrices unavailable in readout." + checkpoint = record["evidence"]["provenance_checkpoint"] + return {"schema": "bispf_existing_measurement_investigation_v1", "task": TASK, + "audit_status": "PASS", "scientific_status_unchanged": "FAIL", "qualification_input": False, + "updates_added": 0, "sampling_draws_added": 0, "seed": 0, + "candidate": CANDIDATE, "candidate_revision": quality["candidate_revision"], + "source_origin_commit": SOURCE, "source_digest": quality["source_digest"], + "recipe_sha256": quality["global_recipe_sha256"], "task_contract_sha256": binding["task_contracts"][TASK], + "protocol_sha256": binding["protocol_sha256"], "rng_sha256": binding["rng_sha256"], + "attempt": published["attempt"], "original_readout": quality["raw_readout_archive"], + "quality_publication_sha256": digest(quality_path.read_bytes()), + "observations_sha256": digest(canonical(observations)), "observation_count": len(observations), + "passing_checks": sum(flags), "longest_passing_run": longest, "passing_suffix": suffix, + "required_terminal_checks": minimum, "endpoint_metrics": published["metrics"], + "gate_audit": [{"metric": t[0], "op": t[1], "threshold": t[2], "endpoint": endpoint[t[0]], + "endpoint_passes": passes(endpoint, t), "passing_checks": sum(passes(o, t) for o in observations)} for t in thresholds], + "detail": details, "effective_recipe": {k: record["recipe"][k] for k in + ("loss", "lr", "d_lr_mult", "prior_lr_mult", "prior_reg", "prior_regularizer", "optimizer_family", + "optimizer_smoothing", "batch_size", "z_dim", "num_particles", "reg_coeff", "ema_decay")}, + "prior": record["prior"], "initialization": record["initialization"], + "rng_stream_count": len(record["rng"]["bindings"]), + "consumed_stream_state_hashes": checkpoint["named_stream_state_sha256"], + "saved_samples": record["evidence"]["saved_observer_outputs"], + "provenance_checkpoint": {k: checkpoint[k] for k in ("sha256", "state_sha256", "purpose", "prerequisite_eligible")}, + "frozen_task_sha256": digest(task_bytes), "evaluated_sources": evaluated_sources, + "mechanism_sources": mechanism_sources, "convolution_parameters": 0, + "actual_training_gif": {"path": str(gif_path.relative_to(ROOT)), "sha256": media["gif_sha256"]}, + "limitations": ["Readout audit verifies saved measurements, not unavailable tensor/checkpoint contents.", + "Frozen source differs from current source; no replay or causal attribution is inferred."]} + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=Path(DEFAULT_ARCHIVE)) + parser.add_argument("--output", type=Path) + parser.add_argument("--check", action="store_true", help="Compare against committed compact result") + args = parser.parse_args() + result = audit(args.archive) + encoded = json.dumps(result, indent=2, sort_keys=True) + "\n" + if args.check: + assert json.loads(Path(__file__).with_name("result.json").read_text()) == result + print(f"PASS {TASK}: exact original readout, all 24 saved checks, frozen sources, projection and GIF; zero updates") + elif args.output: + args.output.write_text(encoded) + print(f"PASS {TASK}: wrote compact audit to {args.output}") + else: + print(encoded, end="") + + +if __name__ == "__main__": + main() diff --git a/reports/forge/leading-failures-20261022/vector_unequal_width/result.json b/reports/forge/leading-failures-20261022/vector_unequal_width/result.json new file mode 100644 index 000000000..dbb099c8f --- /dev/null +++ b/reports/forge/leading-failures-20261022/vector_unequal_width/result.json @@ -0,0 +1,265 @@ +{ + "actual_training_gif": { + "path": "reports/forge/bispf-optimized/quality-media/vector_unequal_width.gif", + "sha256": "6138ed9dc85c2939c7e8817431e9f5c37587bb54a2ffff8624aed21c716b2c28" + }, + "attempt": "7d0d9f6b12354275b1be7310ca74d34b", + "audit_status": "PASS", + "candidate": "bispf-optimized-quintic-v1", + "candidate_revision": "8d941696e5e05607c763bccefbcbe34694996370bb6f1b03d70f514be6273def", + "consumed_stream_state_hashes": { + "[\"data\",\"target\",\"training\",\"cpu\"]": "e3d88c74d2a45b2a2dc89ff1d4907b619a73bbdd39f2d7aaa74a0ada271b2dca", + "[\"data\",\"target\",\"training\",\"cuda:0\"]": "3045f927f809a4d4908bc8c70834e5a1f37ab046029bd3c739b743dff9e57661", + "[\"eval\",\"live\",\"samples\",\"cuda:0\"]": "1067194d546695c470f7ceb2d3429ebf5100aa20d0a5b67338ff8799d3dab369", + "[\"eval\",\"sampler\",\"samples\",\"cuda:0\"]": "67f4fe1695d60941392cab68f7e509c408a926520b4d41e4d85ed622b82f3fe6", + "[\"eval\",\"target\",\"reference\",\"cuda:0\"]": "c241199bd530cd0d419c66a810b36dd14c66e508cbdd27f4f3bb1eb61260cd82", + "[\"init\",\"discriminator\",\"construction\",\"cpu\"]": "9bc63913a6b09c5e108ba2075f73ce257dffc4b1919c25941f26fbeec4145af3", + "[\"init\",\"generator\",\"construction\",\"cpu\"]": "7fe5aab126065475c69fa5c8766a474858022b220b8d7433e5c7eb08df76dd46", + "[\"init\",\"prior\",\"locations\",\"cuda:0\"]": "c6c895466da96de4600bab10450fde28cf1bc981c4a31285f8d57af83d00a44e", + "[\"noise\",\"critic\",\"input\",\"cuda:0\"]": "355c95213318666d7a9677e2ff87c2907ec3023569ffb4af87035311861c6ac3", + "[\"noise\",\"generator\",\"output\",\"cuda:0\"]": "1f94d64989ee76502af2a88845775153918ae1e747651addf4d76146b1a43602", + "[\"noise\",\"models\",\"stochastic_layers\",\"cuda:0\"]": "c8dbf6971343450f1cb750d68c4bc506541851a3d49a4ea0415e5f051a7496e6", + "[\"noise\",\"penalty\",\"training\",\"cuda:0\"]": "e22601e6f2de31d2e59093f0384bd30127a8ca6aa0267b8ff5f319f4a3480376", + "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]": "4bdb79173bafeedeeb90175b343218558992caccfb1e7f774fb6c1752a458d49", + "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]": "a0b49226e07f592fe36932dd116fdb33ee7bc58957e1fde22edbe653adf40a38" + }, + "convolution_parameters": 0, + "detail": { + "component_1_share_of_summed_full_covariance_error": 0.9638944201414232, + "component_core_covariance_errors": [ + 0.8274410367012024, + 0.6632524132728577, + 0.4029181897640228, + 0.1686457395553589 + ], + "component_core_eigen_ratios": [ + 0.09347031265497208, + 0.28147757053375244, + 0.521944522857666, + 0.9080619812011719 + ], + "component_counts": [ + 1490, + 256, + 1695, + 655 + ], + "component_covariance_errors": [ + 0.8274410367012024, + 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0.98193359375, + "mass_tv": 0.277587890625, + "max_component_spill": 0.109375, + "mean_error": 0.3980906009674072, + "min_mass_ratio": 0.25, + "resolved_core_covariance_error": 0.5155643448233604, + "resolved_core_min_eigen_ratio": 0.09347031265497208, + "resolved_max_component_spill": 0.109375, + "sample_count": 4096, + "step": 1200, + "sw1_normalized": 0.2873825274476827, + "target_scale": 2.1343955993652344 + }, + "evaluated_sources": { + "benchmarks/locked_shared/observation.py": "bd6f9845b44f1ec2a58d445727990ba5068c7aca3b6f981cf38d738a37c4513b", + "benchmarks/transfer_suite/protocol.py": "99469b022b790a18a74021a6fe49424d95f535afaa220643688a1ddd7a70ab89", + "benchmarks/transfer_suite/vector_tasks.py": "3ee4eb27759f61a430029c80b7772cac3dca2fb2ac84919ace0db94efca1e0b0" + }, + "frozen_task_sha256": "6b22881f666e4c1cdb07cf0a212711a3561300d9727466bb83334c065e7d3e26", + "gate_audit": [ + { + "endpoint": 0.2873825274476827, + "endpoint_passes": false, + "metric": "sw1_normalized", + "op": 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causal attribution is inferred." + ], + "longest_passing_run": 0, + "mechanism_sources": { + "experiments/forge/adapters.py": { + "current_sha256": "04eaec8823d72177d54b6348ffd9c77bcc2971a239943f0d8b6a3cd8a73df532", + "frozen_sha256": "7fd2a14725a204b3ad7c71bc5aee757aec6ed6bb0cef6c8558a110a17ad782a3" + }, + "particlegan/bispf.py": { + "current_sha256": "c97cef8942b6dc44b0f9dabab03ff25350cec37008eb6ed4aa72d62272a2d1a8", + "frozen_sha256": "19555a93c01706a6ffb898b06f98b3dca7e4cdbe0b47cbd7c222acfddfeace58" + }, + "particlegan/optim/dualnorm.py": { + "current_sha256": "5b9a223c8765c5979af1e0592aad98ec0fac7bfdb6c9896f3a684d95f337107a", + "frozen_sha256": "507c7055c5cd6ee7ac7d99b854a234edc9607414089734b39eb1e022cfdd33f9" + }, + "particlegan/particle_prior.py": { + "current_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f", + "frozen_sha256": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f" + }, + "particlegan/recipes.py": { + "current_sha256": "6c818b90544a67f833f5effea36868524041ff8009960b2a9a17188df133977a", + "frozen_sha256": "eb405669b4ec91695b148c106a3d342d9c0ae9dad2d85ff96cbf938e3a5a1621" + }, + "particlegan/training.py": { + "current_sha256": "3711700bcb1700d9446fb6ced07d8d98188860ff219828ec91f49e3bb10b8344", + "frozen_sha256": "f84bf044405a1ea105350a260bfc903bade9b8d464ad80eb005b0e4a307a6c2b" + } + }, + "observation_count": 24, + "observations_sha256": "03b3fd1b2bd231bb871d9cf03f3ab1035deab84437739f255b73b503e2a79604", + "original_readout": { + "bytes": 4926714, + "path": "/home/martyn/dev/ParticleGAN/runs/forge/bispf-optimized/ordinary-quality-full-readout.json", + "sha256": "50f249158118686904c8d01bf817fcf802696acbe84f0c56567cbc3cab3dedfe" + }, + "passing_checks": 0, + "passing_suffix": 0, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "provenance_checkpoint": { + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sha256": "b3b7103aaab1f88bd279627f123a5784145720712cac694ce4858579a1d406ba", + "state_sha256": "fee1d2e8d2305199c5ef7bfb0376fb6301da5614578ed5783528186dc3c6fff2" + }, + "qualification_input": false, + "quality_publication_sha256": "5eb3bcf2986af87ed836c99e48e376082a3dee6ceda30bbd4c4635b3e3652cbe", + "recipe_sha256": "60ba0af155bfe843f31fc11606a9b37d690b74be69ffd7ea4243c4b0a891541e", + "required_terminal_checks": 5, + "rng_sha256": "cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058", + "rng_stream_count": 14, + "sampling_draws_added": 0, + "saved_samples": { + "bytes": 794217, + "kind": "scored_vector_samples_v1", + "observation_count": 24, + "optimizer_updates_added": 0, + "path": "observed-samples.pt", + "sampling_draws_added": 0, + "sha256": "f1929b11c68e02266501d90dd3f961c56c23bd2bd49b7e7d2f0a7a8472a74498" + }, + "schema": "bispf_existing_measurement_investigation_v1", + "scientific_status_unchanged": "FAIL", + "seed": 0, + "source_digest": "c82ed2dc712e4c9ebda80678e453635bd8a16dc74fae1450234ed368aa956213", + "source_origin_commit": "d9d72d53761c898bce20102e1995fc3d899c1447", + "task": "vector_unequal_width", + "task_contract_sha256": "6859d81a83ee76e9456c30d5bc36e930d07d28e492575e3416a22fb47516193c", + "updates_added": 0 +} diff --git a/reports/forge/misgan-bispf/LEADERBOARD.md b/reports/forge/misgan-bispf/LEADERBOARD.md new file mode 100644 index 000000000..5fdaabcbc --- /dev/null +++ b/reports/forge/misgan-bispf/LEADERBOARD.md @@ -0,0 +1,18 @@ +# Four-mode MisGAN status + +Corrected independent-game **v2 is unmeasured** and inherits no prior PASS. The table below preserves the original coupled-state v1 grades and numbers under [source 2025ca28](https://github.com/255BITS/ParticleGAN/tree/2025ca2875517cd3cdf8a91bba1ecfeebf3ba7ca). Its single shared critic history is distinct from v2. No new scientific run or regrading occurred. + + +One fixed four-mode task and protocol; all failures retained. No ordinary or historical 100-mode qualification. + +| Recipe | Forge gate | Last 5 checks | Generator HQ | Mass TV | Mask TV | Imputer accuracy | Ambiguous HQ | Branch TV | Branch coverage | GIF | +|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---| +| `bispf-misgan-transport-settle-v1` | PASS | 5/5 | 0.9890 | 0.0940 | 0.0106 | 0.9727 | 0.9373 | 0.0781 | 1.0000 | [actual training](../../toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif) | +| `bispf-optimized-quintic-v1` | FAIL | 0/5 | 0.9966 | 0.2441 | 0.0212 | 0.9739 | 0.9932 | 0.0447 | 1.0000 | [actual training](../../toy_audit/api_contract/misgan_bispf/media/bispf-optimized-quintic-v1.gif) | +| `bispf-misgan-observed-v1` | FAIL | 0/5 | 0.9985 | 0.1697 | 0.0213 | 0.9695 | 0.9861 | 0.0879 | 1.0000 | [actual training](../../toy_audit/api_contract/misgan_bispf/media/bispf-misgan-observed-v1.gif) | +| `bispf-misgan-amortized-v1` | FAIL | 0/5 | 0.9946 | 0.1697 | 0.0248 | 0.9717 | 0.9827 | 0.1433 | 1.0000 | [actual training](../../toy_audit/api_contract/misgan_bispf/media/bispf-misgan-amortized-v1.gif) | + +Charged elapsed time: 2307.489 seconds, including 3 preserved infrastructure errors. GPU contention prevents throughput comparison. +Matched initial model hashes: True; matched observed-batch digests: True. + +Exact task, source, recipe, budget, RNG and sample-law identities are in [results.json](results.json). The gates do not certify within-mode covariance calibration. diff --git a/reports/forge/misgan-bispf/README.md b/reports/forge/misgan-bispf/README.md new file mode 100644 index 000000000..3838a278a --- /dev/null +++ b/reports/forge/misgan-bispf/README.md @@ -0,0 +1,135 @@ +# Independent four-mode MisGAN and archived coupled-state results + +> **Current execution is v2 and has no learned-quality measurement.** The code now gives data, mask and imputer critics independent public optimizer, penalty, loss and thermal histories. The shared generator/prior policy is explicitly anchored to the data critic. The original summed-critic backward and generator/prior update order remain; unsupported multi-game mechanisms refuse execution. Complete v2 checkpoints restore in a fresh object and reject v1 or malformed auxiliary state before mutation. +> +> **All numerical results below belong to archived coupled-state v1.** V1 shared one critic control history across the three games, so its measured PASS is not evidence for the corrected independent-game execution. Original grades, metrics, GIFs and source identities are unchanged. No campaign was rerun and v2 inherits no PASS. [Exact v1 task](archive/task-coupled-v1.json), [v1 source](https://github.com/255BITS/ParticleGAN/tree/2025ca2875517cd3cdf8a91bba1ecfeebf3ba7ca), and [v2 integration receipt](../pr-integration-20261109/pr-462.json) retain the boundary. + +The archived v1 transport-and-settling repair **passed** its scoped task: +1,200 updates, 24 post-update scoring observations and all five terminal checks +pass every unchanged bound. Endpoint generator HQ is 0.9890, mass TV 0.0940, +mask TV 0.0106, imputation accuracy 0.9727, ambiguous-query HQ 0.9373 and branch +TV 0.0781; branch coverage is 1.0 and observed-coordinate error is zero. The +[current leaderboard](LEADERBOARD.md) retains all three earlier failures and +links all four actual-training GIFs. Their sharper endpoints did not satisfy +the required mass and terminal-window gates. + +This is an explicit four-mode research diagnostic using the selected +`bispf-optimized-quintic-v1` recipe and declared deltas. It grants no ordinary +qualification or PASS on the unchanged historical 100-mode recovery/imputer +tasks. Its affine rank-two generator is a scoped architectural assumption, not +a general nonparametric identifiability claim. The gates measure support, mass, +manifold recovery and conditional branch behavior; they do not certify +within-mode covariance or full noise-density calibration. + +The legacy public MisGAN fixtures used plain Adam and a scalar recipe loss, +omitted the Born-Infeld penalty, never optimized the prior or applied SBNP, +and omitted consumed RNG streams from checkpoints. Their published failures +retain their original source and execution identities. The new host binds +public recipe optimizers, three Born-Infeld games, learned prior/SBNP, +direction-blend backward and UpdatePolicy. Its initialization, data, training +noise and functional evaluation streams are isolated; complete checkpoints +include consumed training/constructor states, model modes and gradients. + +The [frozen proposal](proposal.json) declares the target, architecture, bounds +and finite budget. Four noisy corners are lifted to eight sensors. The original +block-mask patterns and 40/30/20/10% probabilities remain. A single sensor sees +only the sum of two coordinates: central queries retain two equally probable +branches. The complete training matrix is discarded after forming observed +entries and masks. Training never receives complete real labels, analytic +posterior probabilities or evaluation examples. + +The original comparison requested the selected BISPF baseline configuration, an observed-only +masked mixture/mask likelihood auxiliary, and that same auxiliary plus +own-generator synthetic component classification. The neural conditional logits +learn from component IDs sampled by their own generator. At serving, the imputer +receives only observed entries and masks, samples its neural categorical +probabilities and decodes independent MoG noise. It never computes component +distances or performs ppost resampling. Training and serving use the same MoG +kernel; the adversarial categorical gradient uses a declared straight-through +Gumbel estimator. + +The [MisGAN paper](https://arxiv.org/abs/1902.09599) and +[official imputation code](https://github.com/steveli/misgan/blob/master/src/misgan_impute.py) +motivate independent data, mask and imputer games. These new architectures and +auxiliaries are declared extensions. The +[first-round diagnosis](round1-diagnosis.json) records that narrow likelihood +sharpens support without correcting uniform component counts. It does not +establish synthetic classification as superior to the other arms. + +The bounded second round replaces narrow masked-mixture likelihood with the +public deterministic projected-quantile transport loss, applied separately +within actual observed-mask cohorts. It reuses existing fake and observed rows, +with no new data, labels, RNG draws, sampling reweighting or clean target access. +This follows the distribution-matching idea in +[Deshpande et al.](https://openaccess.thecvf.com/content_cvpr_2018/html/Deshpande_Generative_Modeling_Using_CVPR_2018_paper.html), +using this repository's finite deterministic frame. It retains mask likelihood +weight 1 and synthetic neural classification weight 5. A global cosine schedule +runs from update 0 to 1200 with network/prior floor 0.05; initial rates, all BISPF +core mechanisms and the task remain fixed. This is a composite repair, so its +outcome cannot isolate transport from settling. + +All arms use seed 0, public deterministic initialization, the same architecture, +initial MoG64 in R2 with fixed width .025, observed batch sequence, sampling, +1200 updates and 24 scoring observations. Five terminal checks must pass every +bound together: mode/mass/manifold recovery, mask law, observed identity, +overall imputation accuracy and ambiguous branch quality/mass/coverage/spread. +The [compact results](results.json) retain each final and terminal bound, +recipe/source identities, model and batch hashes, guards, costs and artifact +receipts. The [analytic conditional oracle and destructive scorer controls](scorer-controls.json) reject averaging, noise ignore, +wrong branches/mass, complete-generator collapse and mask collapse. + +Validation: 128 focused API, scorer, ownership, checkpoint/replay, RNG, BISPF, +prior and Forge diagnostic tests pass. Another 66 compatibility checks compare +inactive training, state, continuation and receipts with an independently +archived develop tree and check the maintained component packet contract. +CI caught a maintained inventory count (194 versus the newly registered 195), +stale publication summaries and three newly added zero-valued Recipe fields +leaking into old component receipts. The fixes preserve the old packet fields, +omit only the new inactive defaults and refresh display-only publications. +Frozen historical catalogs and scientific verdicts retain their original identity. +The source migration preserves exact prior task blobs, code hashes and complete +revision ancestry; no scientific experiment was rerun for these software fixes. + +Reproduce the first comparison from executed source `2054e69cf` in a fresh +worktree and queue; the three `*-reviewed` shared-queue subscriptions were +cancelled before training and must not be replayed as the executed study: + +```sh +python -m experiments.forge --queue-root /tmp/misgan-r1-queue enqueue bispf-optimized-quintic-v1 --study misgan-bispf-baseline-r1-snapshot +python -m experiments.forge --queue-root /tmp/misgan-r1-queue enqueue bispf-misgan-observed-v1 --study misgan-bispf-observed-r1-snapshot +python -m experiments.forge --queue-root /tmp/misgan-r1-queue enqueue bispf-misgan-amortized-v1 --study misgan-bispf-amortized-r1-snapshot +python -m experiments.forge --queue-root /tmp/misgan-r1-queue drain --gpus 0 --workers-per-gpu 3 --allow-sharing --campaign misgan-bispf-snapshot-repair-r1 +``` + +Reproduce the final repair from executed source `21efa29ae` in a fresh worktree: + +```sh +python -m experiments.forge --queue-root /tmp/misgan-r2-queue enqueue bispf-misgan-transport-settle-v1 --study misgan-bispf-transport-settle-r2 +python -m experiments.forge --queue-root /tmp/misgan-r2-queue drain --gpus 0 --allow-sharing --campaign misgan-bispf-transport-settle-r2 +``` + +The complete local archive is +`/nvme/dev/particlegan/artifacts/misgan-bispf-20261019`; tail `progress.log`. +Raw stdout, metric streams, JUnit/CI logs, observations and complete checkpoints +stay outside Git. Six cancelled zero-spend subscriptions and three pre-update +snapshot errors remain in the [infrastructure repair receipt](infrastructure-repair.json). +The errors' charges are included once. The +[source-only fingerprint migration](source-fingerprint-migration.json) preserves +original task Git blobs and code SHA identities without changing scientific +conditions or archived results. GPU 0 is shared; elapsed costs are not speed +benchmarks. + +The archived v1 recommendation was `bispf-misgan-transport-settle-v1` for this one +explicit task. Its minimum terminal ambiguous HQ remains above 0.93 and its +largest terminal mass TV is 0.0940, leaving only 0.0060 margin to that bound. +No robustness or seed claim follows. The useful next comparison is an explicit +larger-target variant using the same observed-only transport and neural +amortization principles; original 100-mode qualification remains outstanding. +Do not select separate recipes for recovery and imputation or credit this result +to either transport or settling alone. + +Total charged elapsed execution is 2,307.489 seconds, including the three +pre-update infrastructure errors exactly once. The first-round paid ledger was +1,860.101 seconds; the final full reservation was 1,800 seconds within the +predeclared 7,200-second goal allowance. All scientific runs completed without +cancellation or shortened training. diff --git a/reports/forge/misgan-bispf/archive/task-coupled-v1.json b/reports/forge/misgan-bispf/archive/task-coupled-v1.json new file mode 100644 index 000000000..fce69a506 --- /dev/null +++ b/reports/forge/misgan-bispf/archive/task-coupled-v1.json @@ -0,0 +1,189 @@ +{ + "schema_version": 1, + "id": "model_misgan_four_mode", + "description": "Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass.", + "adapter": "public_api_model_toy", + "execution": { + "initializer": "deterministic_orthogonal", + "host": "model_misgan_four_mode", + "steps": 1200, + "prior": { + "kind": "mog", + "sigma": 0.025, + "standardize": false + }, + "prior_contract": "recipe_owned_v1", + "protocol": "screening", + "produces_state": false, + "host_source": "benchmarks/toy_audit/api_model_misgan.py", + "host_definition": { + "provider": "benchmarks.toy_audit.api_model_misgan", + "case_id": "api-model-misgan-four-mode", + "resources": { + "num_particles": 64, + "z_dim": 2, + "batch_size": 256 + }, + "num_particles": 64, + "z_dim": 2, + "batch_size": 256, + "init_std": 0.5, + "target": { + "kind": "four_corner_hadamard8", + "means": [ + [ + -1.0, + -1.0 + ], + [ + -1.0, + 1.0 + ], + [ + 1.0, + -1.0 + ], + [ + 1.0, + 1.0 + ] + ], + "sigma": 0.08, + "masses": [ + 0.25, + 0.25, + 0.25, + 0.25 + ] + }, + "architecture": { + "generator": "affine_2_to_8", + "mask": "categorical4_linear1", + "imputer": "16_64_64_64_neural_logits", + "critics": "64_64" + }, + "recipe_fields": { + "model": "gan", + "conditioning": "scalar", + "encoder_mode": "none", + "observation_sigma": 0.08, + "reconstruction_weight": 1.0 + } + }, + "execution_path": "public_components", + "recipe_fields": { + "model": "gan", + "conditioning": "scalar", + "encoder_mode": "none", + "observation_sigma": 0.08, + "reconstruction_weight": 1.0 + } + }, + "evaluation": { + "sampling_contract_version": 1, + "sampling_law": "task_model_kernel_and_posterior_without_serving_noise", + "eval_output_noise": "clean", + "kind": "transfer_sustained", + "eval_samples": 4096, + "observations": 24, + "minimum_stable_checks": 5, + "thresholds": [ + [ + "modes", + ">=", + 4 + ], + [ + "hq", + ">=", + 0.9 + ], + [ + "mass_tv", + "<=", + 0.1 + ], + [ + "off_plane", + "<=", + 0.04 + ], + [ + "mask_tv", + "<=", + 0.05 + ], + [ + "imputer_observed_error", + "<=", + 1e-06 + ], + [ + "imputer_accuracy", + ">=", + 0.94 + ], + [ + "ambiguous_hq", + ">=", + 0.9 + ], + [ + "ambiguous_mass_tv", + "<=", + 0.12 + ], + [ + "ambiguous_query_coverage", + ">=", + 0.9 + ], + [ + "ambiguous_std_ratio", + ">=", + 0.7 + ], + [ + "ambiguous_std_ratio", + "<=", + 1.3 + ] + ], + "scoring_weights": "live", + "evaluator": "benchmarks.transfer_suite.protocol:test_verdict", + "guards": { + "finite_state": true, + "rng_isolation": true, + "optimizer_roles": [ + "generator", + "prior", + "discriminator" + ], + "exact_optimizer_updates": true, + "mechanism_exercised": true + }, + "sources": {} + }, + "resources": { + "gpus": 1, + "gpu_memory_mb": 2048, + "cpu_threads": 1, + "timeout_seconds": 1800, + "allow_cpu": true + }, + "requires_capabilities": [ + "checkpoint", + "named_rng", + "live_sampling", + "mog_prior" + ], + "dependencies": [], + "retained_question_ids": [ + "pr196-block-recovery", + "pr196-block-neural-imputer" + ], + "research_artifacts": { + "readout": "reports/forge/misgan-bispf/README.md", + "api_publication": "reports/toy_audit/api_contract/misgan_bispf/publication.json" + } +} diff --git a/reports/forge/misgan-bispf/infrastructure-repair.json b/reports/forge/misgan-bispf/infrastructure-repair.json new file mode 100644 index 000000000..111296ea6 --- /dev/null +++ b/reports/forge/misgan-bispf/infrastructure-repair.json @@ -0,0 +1,67 @@ +{ + "schema": "misgan_infrastructure_repair_v1", + "optimizer_updates": 0, + "cancelled_shared_requests": [ + "44f3415ab7847665f5e4cf88", + "7fe506e6e00bc9f354cb4350", + "977f5828f1b0e5031ad4402c", + "d4291213619e1e1a3bbedd9a", + "f0401fe665dec51d51654fea", + "fb5fa2f3182bc104e99a04d8" + ], + "reason": "Source snapshot excludes Forge declarations; replace disk-dependent provider discovery with frozen code-native definition. Preserve all pre-update errors and charges.", + "errors": [ + { + "attempt": "c7bec18356094de19ed3f89491302a59", + "raw_result_path": "/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/misgan-bispf-four-mode-r1/c7bec18356094de19ed3f89491302a59/raw-result.json", + "raw_result_sha256": "084de998d75fc6cb4885470608577d8116b34ead79883c5cb27f7f6872a27bc9", + "status": "ERROR", + "cost": { + "adapter_seconds": 0.018227127991849557, + "runner_seconds": 1.4820180290262215 + }, + "error": { + "message": "[Errno 2] No such file or directory: '/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/snapshots/f7dce716d0b9d601fe4255a70901c8a2ff81653ad441d5e23a164ab30e8d228b/configs/forge/tasks/model_misgan_four_mode.json'", + "type": "FileNotFoundError" + }, + "forge_gate": "INCOMPLETE", + "charged_seconds": 3.903539766004542 + }, + { + "attempt": "a8241e9344ce4928b5fcd844d90343ef", + "raw_result_path": "/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/misgan-bispf-four-mode-r1/a8241e9344ce4928b5fcd844d90343ef/raw-result.json", + "raw_result_sha256": "8eea557b41b5befebdc3673843eb88ecef75cf6603a2ddfd7ccdfaf3df83b1dd", + "status": "ERROR", + "cost": { + "adapter_seconds": 0.018422529014060274, + "runner_seconds": 1.5850400000053924 + }, + "error": { + "message": "[Errno 2] No such file or directory: '/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/snapshots/f7dce716d0b9d601fe4255a70901c8a2ff81653ad441d5e23a164ab30e8d228b/configs/forge/tasks/model_misgan_four_mode.json'", + "type": "FileNotFoundError" + }, + "forge_gate": "INCOMPLETE", + "charged_seconds": 3.855927282012999 + }, + { + "attempt": "64487ec746934ea9b4d1b4432bd80cfc", + "raw_result_path": "/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/misgan-bispf-four-mode-r1/64487ec746934ea9b4d1b4432bd80cfc/raw-result.json", + "raw_result_sha256": "5de1966af7de5c68b7e2c62d8ceab63d1b524c294561ef7db33fcc134d72102e", + "status": "ERROR", + "cost": { + "adapter_seconds": 0.018047577003017068, + "runner_seconds": 1.732151000003796 + }, + "error": { + "message": "[Errno 2] No such file or directory: '/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/snapshots/f7dce716d0b9d601fe4255a70901c8a2ff81653ad441d5e23a164ab30e8d228b/configs/forge/tasks/model_misgan_four_mode.json'", + "type": "FileNotFoundError" + }, + "forge_gate": "INCOMPLETE", + "charged_seconds": 4.256100983999204 + } + ], + "repaired_reservation_seconds": 5400, + "previous_setup_overhead_allowance_seconds": 30, + "repaired_campaign_cap_seconds": 5430, + "total_scientific_updates_unchanged": 3600 +} diff --git a/reports/forge/misgan-bispf/proposal.json b/reports/forge/misgan-bispf/proposal.json new file mode 100644 index 000000000..70eef42dc --- /dev/null +++ b/reports/forge/misgan-bispf/proposal.json @@ -0,0 +1,151 @@ +{ + "schema": "misgan_bispf_proposal_v1", + "source_parent": "a771841dd", + "protocol_seed": 0, + "legacy_omissions": [ + "plain Adam instead of selected optimizer", + "no Born-Infeld penalty", + "no learned-prior updates/SBNP", + "uncheckpointed data/latent RNG" + ], + "primary_sources": [ + "https://arxiv.org/abs/1902.09599", + "https://github.com/steveli/misgan/blob/master/src/misgan_impute.py" + ], + "task_id": "model_misgan_four_mode", + "new_task_scope": { + "provider": "benchmarks.toy_audit.api_model_misgan", + "case_id": "api-model-misgan-four-mode", + "resources": { + "num_particles": 64, + "z_dim": 2, + "batch_size": 256 + }, + "num_particles": 64, + "z_dim": 2, + "batch_size": 256, + "init_std": 0.5, + "target": { + "kind": "four_corner_hadamard8", + "means": [ + [ + -1.0, + -1.0 + ], + [ + -1.0, + 1.0 + ], + [ + 1.0, + -1.0 + ], + [ + 1.0, + 1.0 + ] + ], + "sigma": 0.08, + "masses": [ + 0.25, + 0.25, + 0.25, + 0.25 + ] + }, + "architecture": { + "generator": "affine_2_to_8", + "mask": "categorical4_linear1", + "imputer": "16_64_64_64_neural_logits", + "critics": "64_64" + }, + "recipe_fields": { + "model": "gan", + "conditioning": "scalar", + "encoder_mode": "none", + "observation_sigma": 0.08, + "reconstruction_weight": 1.0 + } + }, + "thresholds": [ + [ + "modes", + ">=", + 4 + ], + [ + "hq", + ">=", + 0.9 + ], + [ + "mass_tv", + "<=", + 0.1 + ], + [ + "off_plane", + "<=", + 0.04 + ], + [ + "mask_tv", + "<=", + 0.05 + ], + [ + "imputer_observed_error", + "<=", + 1e-06 + ], + [ + "imputer_accuracy", + ">=", + 0.94 + ], + [ + "ambiguous_hq", + ">=", + 0.9 + ], + [ + "ambiguous_mass_tv", + "<=", + 0.12 + ], + [ + "ambiguous_query_coverage", + ">=", + 0.9 + ], + [ + "ambiguous_std_ratio", + ">=", + 0.7 + ], + [ + "ambiguous_std_ratio", + "<=", + 1.3 + ] + ], + "budget": { + "arms": 3, + "updates_per_arm": 1200, + "scoring_checks": 24, + "required_terminal_checks": 5, + "timeout_per_arm_seconds": 1800, + "max_additional_revisions": 1, + "max_total_reservation_seconds": 7200 + }, + "hypotheses": [ + "Correct recipe binding supplies a meaningful selected-BISPF baseline.", + "Observed masked-mixture likelihood plus categorical mask likelihood repairs missed modes without clean real labels.", + "Own-generator synthetic component classification makes neural conditional logits retain both ambiguous branches." + ], + "stop_rules": [ + "Do not rerun unchanged failures or seeds.", + "After three initial arms allow at most one substantive declared repair, then stop and report all bounds.", + "No whole-suite, throughput, default-adoption or historical100-mode qualification claim." + ] +} diff --git a/reports/forge/misgan-bispf/publish.py b/reports/forge/misgan-bispf/publish.py new file mode 100644 index 000000000..9943dfe34 --- /dev/null +++ b/reports/forge/misgan-bispf/publish.py @@ -0,0 +1,103 @@ +"""Export compact, source-bound summaries and the one current research board. + +No training, regrading, new sampling or global inventory/memory regeneration. +""" +from pathlib import Path +import argparse +import hashlib +import json +import shutil + + +def digest(path): + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def main(): + parser=argparse.ArgumentParser(description=__doc__) + parser.add_argument('--queue',type=Path,required=True) + args=parser.parse_args() + destination=Path(__file__).resolve().parent + media=destination.parents[1]/'toy_audit/api_contract/misgan_bispf/media' + media.mkdir(parents=True,exist_ok=True) + rows=[];errors=[] + for directory in sorted(args.queue.glob('misgan-*/*')): + if not directory.is_dir() or not (directory/'result.json').is_file(): + continue + result=json.loads((directory/'result.json').read_text()) + wrapper=json.loads((directory/'request.json').read_text()) + request=wrapper['request'] + identity=dict(attempt_id=directory.name,candidate_id=request['candidate']['id'], + candidate_revision=request['candidate_revision'], + source_digest=request['source']['digest'],source_commit=request['source'].get('origin_commit'), + request_sha256=digest(directory/'request.json'),result_sha256=digest(directory/'result.json'), + artifact_directory=str(directory.resolve()),paid_seconds=result.get('raw',{}).get('elapsed_seconds',0.)) + if not (directory/'api/receipt.json').is_file(): + errors.append(dict(**identity,status='ERROR',optimizer_updates=0)) + continue + api=json.loads((directory/'api/receipt.json').read_text()) + adapter=json.loads((directory/'adapter-receipt.json').read_text()) + observations=[row for row in api['observations'] if row['step']>0 and row['step'] in api['protocol']['metric_evaluation_steps']] + terminal=observations[-api['protocol']['terminal_observations']:] + gif_name=request['candidate']['id']+'.gif' + shutil.copyfile(directory/'api/goal.gif',media/gif_name) + row=dict(**identity,study=request.get('study',{}).get('id'), + api_receipt_sha256=digest(directory/'api/receipt.json'), + adapter_receipt_sha256=digest(directory/'adapter-receipt.json'), + recipe=api['recipe'],protocol=api['protocol'],runtime=api['runtime'], + completed_updates=api['completed_updates'],verdict=api['verdict'], + forge_gate=result['task_results'][0]['gate_status'], + failed_bounds=api['failed_bounds'],final=observations[-1]['metrics'], + terminal=[dict(step=o['step'],passed=o['passed'],metrics=o['metrics'],failed_bounds=o['failed_bounds']) for o in terminal], + passed_terminal_checks=sum(o['passed'] for o in terminal), + reproducibility=api['reproducibility'],guards=adapter['evidence']['guards'], + gif=dict(path='../../toy_audit/api_contract/misgan_bispf/media/'+gif_name,sha256=digest(media/gif_name),frames=api['gif_frames']), + checkpoint=api['artifacts']['final-state.pt']) + rows.append(row) + # Keep an honest stable comparison: full-gate status first, then the frozen + # branch-mass metric, with the candidate name providing a deterministic tie. + rows.sort(key=lambda row:(row['forge_gate']!='PASS',row['final']['ambiguous_mass_tv'],row['candidate_id'])) + initial={json.dumps(row['reproducibility']['initial_models'],sort_keys=True) for row in rows} + batches={row['reproducibility']['batch_sequence_sha256'] for row in rows} + output=dict(schema='misgan_bispf_research_results_v1',qualification_input=False, + historical_100_mode_pass_credit=False,task_id='model_misgan_four_mode', + within_mode_covariance_calibration_claim=False,rows=rows,infrastructure_errors=errors, + matched_initial_models=len(initial)==1,matched_observed_batch_sequences=len(batches)==1, + paid_seconds=sum(row['paid_seconds'] for row in rows+errors)) + (destination/'results.json').write_text(json.dumps(output,indent=2,allow_nan=False)+'\n') + lines=['# Current MisGAN research leaderboard','', + 'One fixed four-mode task and protocol; all failures retained. No ordinary or historical 100-mode qualification.','', + '| Recipe | Forge gate | Last 5 checks | Generator HQ | Mass TV | Mask TV | Imputer accuracy | Ambiguous HQ | Branch TV | Branch coverage | GIF |', + '|---|---|---:|---:|---:|---:|---:|---:|---:|---:|---|'] + for row in rows: + m=row['final'] + numbers=[f'{m[key]:.4f}' for key in ('hq','mass_tv','mask_tv','imputer_accuracy','ambiguous_hq','ambiguous_mass_tv','ambiguous_query_coverage')] + lines.append(f"| `{row['candidate_id']}` | {row['forge_gate']} | {row['passed_terminal_checks']}/5 | "+' | '.join(numbers)+f" | [actual training]({row['gif']['path']}) |") + lines+=['',f"Charged elapsed time: {output['paid_seconds']:.3f} seconds, including {len(errors)} preserved infrastructure errors. GPU contention prevents throughput comparison.", + f"Matched initial model hashes: {output['matched_initial_models']}; matched observed-batch digests: {output['matched_observed_batch_sequences']}.", + '', 'Exact task, source, recipe, budget, RNG and sample-law identities are in [results.json](results.json). The gates do not certify within-mode covariance calibration.'] + (destination/'LEADERBOARD.md').write_text('\n'.join(lines)+'\n') + # The navigation supplement exposes the one recommended complete recipe; + # all comparison arms and failures stay in the single research board. + winner=next((row for row in rows if row['forge_gate']=='PASS'),None) + if winner is not None: + original=Path(winner['artifact_directory'])/'api/receipt.json' + if digest(original)!=winner['api_receipt_sha256']: + raise ValueError('executed API receipt changed before publication') + case=json.loads(original.read_text())['case'] + publication=dict(schema='forge_misgan_research_v1',qualification_input=False,cases=[case], + readouts=[dict(id=case['id'],goal=case['goal'],scope=case['scope']+' Absolute task-owned MoG sigma=.025; relative calibration is bypassed. Recommended scoped recipe: '+winner['candidate_id'], + execution_status='COMPLETE',verdict='PASS',completed_updates=winner['completed_updates'], + default_updates=case['default_steps'],failed_bounds=winner['failed_bounds'], + source_commit=winner['source_commit'],final_metrics=winner['final'], + gif='media/'+Path(winner['gif']['path']).name)], + runs=[dict(id=case['id'],candidate_id=winner['candidate_id'],recipe=winner['recipe'],runtime=winner['runtime'], + source_identity=winner['source_digest'],source_commit=winner['source_commit'], + api_receipt_sha256=winner['api_receipt_sha256'], + gif='media/'+Path(winner['gif']['path']).name,gif_sha256=winner['gif']['sha256'], + completed_updates=winner['completed_updates'],guards=winner['guards'])]) + (media.parent/'publication.json').write_text(json.dumps(publication,indent=2,allow_nan=False)+'\n') + + +if __name__=='__main__': + main() diff --git a/reports/forge/misgan-bispf/results.json b/reports/forge/misgan-bispf/results.json new file mode 100644 index 000000000..890e89a3d --- /dev/null +++ b/reports/forge/misgan-bispf/results.json @@ -0,0 +1,1848 @@ +{ + "schema": "misgan_bispf_research_results_v1", + "qualification_input": false, + "historical_100_mode_pass_credit": false, + "task_id": "model_misgan_four_mode", + "within_mode_covariance_calibration_claim": false, + "rows": [ + { + "attempt_id": "3a5811fbd2d442cda18bb6591c9979c7", + "candidate_id": "bispf-misgan-transport-settle-v1", + "candidate_revision": "4361bc72b78e2e5cd1fe28820e168a71edf24dcce81f08516986a8666c04c04e", + "source_digest": "d2b5cf8eba1f69f89321d76a0a6f7efc2cf75aba8d99e03741bc12cf8e0768de", + "source_commit": "21efa29ae0adabfd30eb4753f1276242370c55ed", + "request_sha256": "01425d2b4abcd18134e600c21f581c95629fb3dc50c76ae3e9c743464af58d4b", + "result_sha256": "e1d5d341c91a342da0f46eef6a937233051a79b2d15dd71db64034a91d1ea612", + "artifact_directory": "/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/misgan-bispf-transport-settle-r2/3a5811fbd2d442cda18bb6591c9979c7", + "paid_seconds": 447.38884347100975, + "study": "misgan-bispf-transport-settle-r2", + "api_receipt_sha256": "7e350d7e0b02e675dba8dc4702e45462be33cda482ffb9c2dbe790c373439b1d", + "adapter_receipt_sha256": "86733ec283536c81ce7dfe845e63a0cb5050c3411c8e73aa3e4be00c8cce8b7b", + "recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 256, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "imputer_component_weight": 5.0, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.0, + "lr_control": "mobility", + "lr_floor": 0.05, + "masked_transport_weight": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 0.05, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 64, + "observation_sigma": 0.08, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "mog", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 1200, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 2 + }, + "protocol": { + "default_evaluation_samples": 4096, + "default_updates": 1200, + "evaluation_samples": 4096, + "evaluation_steps": [ + 0, + 50, + 100, + 150, + 200, + 250, + 300, + 350, + 400, + 450, + 500, + 550, + 600, + 650, + 700, + 750, + 800, + 850, + 900, + 950, + 1000, + 1050, + 1100, + 1150, + 1200 + ], + "media_frames": 9, + "media_steps": [ + 0, + 150, + 300, + 450, + 600, + 750, + 900, + 1050, + 1200 + ], + "metric_evaluation_steps": [ + 0, + 50, + 100, + 150, + 200, + 250, + 300, + 350, + 400, + 450, + 500, + 550, + 600, + 650, + 700, + 750, + 800, + 850, + 900, + 950, + 1000, + 1050, + 1100, + 1150, + 1200 + ], + "metric_observations": 24, + "terminal_observations": 5, + "updates": 1200, + "wall_cap_seconds": 1800 + }, + "runtime": { + "autograd_multithreading_enabled": false, + "cuda": "13.0", + "cuda_device_model": "NVIDIA RTX A6000", + "cudnn_benchmark": false, + "cudnn_tf32": false, + "deterministic_algorithms": true, + "device": "cuda:0", + "matmul_tf32": false, + "python": "3.12.13", + "torch": "2.14.0+cu130", + "torch_threads": 1 + }, + "completed_updates": 1200, + "verdict": "PASS", + "forge_gate": "PASS", + "failed_bounds": [], + "final": { + "ambiguous_hq": 0.937255859375, + "ambiguous_mass_tv": 0.078125, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9620333313941956, + "hq": 0.989013671875, + "imputer_accuracy": 0.97265625, + "imputer_observed_error": 0.0, + "mask_tv": 0.010595705360174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.0029731420800089836 + }, + "terminal": [ + { + "step": 1000, + "passed": true, + "metrics": { + "ambiguous_hq": 0.931640625, + "ambiguous_mass_tv": 0.073486328125, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.965829074382782, + "hq": 0.986328125, + "imputer_accuracy": 0.97265625, + "imputer_observed_error": 0.0, + "mask_tv": 0.013769533485174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.004998736083507538 + }, + "failed_bounds": [] + }, + { + "step": 1050, + "passed": true, + "metrics": { + "ambiguous_hq": 0.93359375, + "ambiguous_mass_tv": 0.080322265625, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9638193249702454, + "hq": 0.989013671875, + "imputer_accuracy": 0.97265625, + "imputer_observed_error": 0.0, + "mask_tv": 0.01889648661017418, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.003968849778175354 + }, + "failed_bounds": [] + }, + { + "step": 1100, + "passed": true, + "metrics": { + "ambiguous_hq": 0.934326171875, + "ambiguous_mass_tv": 0.081787109375, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9644970893859863, + "hq": 0.989013671875, + "imputer_accuracy": 0.972412109375, + "imputer_observed_error": 0.0, + "mask_tv": 0.014257814735174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.0024876215029507875 + }, + "failed_bounds": [] + }, + { + "step": 1150, + "passed": true, + "metrics": { + "ambiguous_hq": 0.937255859375, + "ambiguous_mass_tv": 0.079345703125, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9663872122764587, + "hq": 0.990478515625, + "imputer_accuracy": 0.972412109375, + "imputer_observed_error": 0.0, + "mask_tv": 0.011083986610174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.002304294379428029 + }, + "failed_bounds": [] + }, + { + "step": 1200, + "passed": true, + "metrics": { + "ambiguous_hq": 0.937255859375, + "ambiguous_mass_tv": 0.078125, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9620333313941956, + "hq": 0.989013671875, + "imputer_accuracy": 0.97265625, + "imputer_observed_error": 0.0, + "mask_tv": 0.010595705360174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.0029731420800089836 + }, + "failed_bounds": [] + } + ], + "passed_terminal_checks": 5, + "reproducibility": { + "batch_sequence_sha256": "82398353915e2d2559db0f3b09385beb1c313e62eb1d06d05ced56e8526b8a96", + "comparison_version": "toy-comparison-v3-serial-autograd", + "conditions": "case-owned architecture, prior, sampling, batch size, update budget and scoring cadence", + "historical_evidence": "original source, seed and initialization retained; no regrading", + "initial_models": { + "D": "b9c76f22f83523b1c503aff81ebb6584ee2439462ac6c0e4bdc2107fd4d5a434", + "G": "f704b78d042fa78e6e8aea5e6d4a10da668f4ac5ad4c0c5ea179e81f15b1cb7e", + "prior": "92791b345e0e07e7258682803e2a8640bbce67f9df259ec4f37f27f4337dc461" + }, + "initial_state_sha256": "f18c10458bcb1177813067abe00111f194415aa9786df0931633bb786fed5e01" + }, + "guards": { + "all_finite": true, + "hooks_exercised": true, + "mechanism_audit": { + "mechanisms": { + "a2": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_anchor": { + "applied": 0, + "calls": 1200, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_guard": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_penalty": { + "applied": 1200, + "calls": 1200, + "eligible": 1200, + "enabled": true, + "reason": "actual host mechanism branch applied", + "requested": true + }, + "direct_particle_gain": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + } + }, + "penalty_cadence": { + "application_updates_unavailable": 0, + "configured": { + "base_coefficient": 1.0, + "coefficient_scope": "initial_recipe_before_any_schedule", + "effective_coefficient": 1.0, + "k": 1, + "scheduled_end_base_coefficient": null + }, + "first_application_update": 1, + "last_application_update": 1200, + "observations": { + "applied": 1200, + "calls": 1200, + "skipped": 0, + "unavailable": 0 + }, + "optimizer": { + "applied_record_calls_end": 3600, + "applied_record_calls_in_window": 3600, + "applied_record_calls_start": 0, + "observed_steps_end": 1200, + "observed_steps_in_window": 1200, + "observed_steps_start": 0 + }, + "phase_counts": { + "bispf": 1200 + }, + "ranges": { + "ema_data_scale": { + "count": 1200, + "last": 4.508982181549072, + "max": 4.8249688148498535, + "min": 3.259047269821167, + "nonfinite": 0, + "unavailable": 0 + }, + "ema_residual": { + "count": 1200, + "last": 0.03972253203392029, + "max": 0.6015648245811462, + "min": 0.034096576273441315, + "nonfinite": 0, + "unavailable": 0 + }, + "s_thermal": { + "count": 1200, + "last": 1.0, + "max": 1.0, + "min": 1.0, + "nonfinite": 0, + "unavailable": 0 + } + }, + "resets": 0, + "schema_version": 1, + "scope": "audit_window", + "start_reason": "attachment", + "update_clock": "one_based_critic_optimizer_update" + }, + "schema_version": 1 + }, + "optimizer_updates": { + "discriminator": 1200, + "encoder": 0, + "generator": 1200, + "prior": 1200 + }, + "unintended_rng_deviations": 0 + }, + "gif": { + "path": "../../toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif", + "sha256": "3b9877086b8b8f225e2f41657949be728c46a6369147a54e62021a5d1fa4ce86", + "frames": 9 + }, + "checkpoint": { + "bytes": 295395, + "sha256": "a6112f841ca278b9b680f2efe0bc4926e4368f48079d2475e38bc8b38688c13a" + } + }, + { + "attempt_id": "87717e5cd41745a0a3462c3fb1605f75", + "candidate_id": "bispf-optimized-quintic-v1", + "candidate_revision": "a2bdf3d01a3c507b273d49bdefa1bf0707963aed72d1ed10fcca32bf82e4cf6d", + "source_digest": "965f882d44a532f3932080f0731df40c4feb890890e2813925dd360da7df3a7a", + "source_commit": "2054e69cf0046b72fdbe06edcded9c69ab55c444", + "request_sha256": "83a02d08dd5f464c80d357082d9918e6a036f300c760bea8b08d0c4cdf22879a", + "result_sha256": "9cf8e024bc8ea62ce29778a4152044777655883b2c014a56eb3ed79a78520e0f", + "artifact_directory": "/nvme/dev/particlegan/artifacts/misgan-bispf-20261019/queue/misgan-bispf-snapshot-repair-r1/87717e5cd41745a0a3462c3fb1605f75", + "paid_seconds": 610.4327050700085, + "study": "misgan-bispf-baseline-r1-snapshot", + "api_receipt_sha256": "e74a1bad4ac6695217e768b7a887e59818e2b612290db2fc750cf3731d133501", + "adapter_receipt_sha256": "2d15c87bad4439721fbc89eb071061f00d1fbeb94a0b338e4a18727f1d972e34", + "recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 256, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.6, + "lr_control": "mobility", + "lr_floor": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 64, + "observation_sigma": 0.08, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "mog", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 1200, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 2 + }, + "protocol": { + "default_evaluation_samples": 4096, + "default_updates": 1200, + "evaluation_samples": 4096, + "evaluation_steps": [ + 0, + 50, + 100, + 150, + 200, + 250, + 300, + 350, + 400, + 450, + 500, + 550, + 600, + 650, + 700, + 750, + 800, + 850, + 900, + 950, + 1000, + 1050, + 1100, + 1150, + 1200 + ], + "media_frames": 9, + "media_steps": [ + 0, + 150, + 300, + 450, + 600, + 750, + 900, + 1050, + 1200 + ], + "metric_evaluation_steps": [ + 0, + 50, + 100, + 150, + 200, + 250, + 300, + 350, + 400, + 450, + 500, + 550, + 600, + 650, + 700, + 750, + 800, + 850, + 900, + 950, + 1000, + 1050, + 1100, + 1150, + 1200 + ], + "metric_observations": 24, + "terminal_observations": 5, + "updates": 1200, + "wall_cap_seconds": 1800 + }, + "runtime": { + "autograd_multithreading_enabled": false, + "cuda": "13.0", + "cuda_device_model": "NVIDIA RTX A6000", + "cudnn_benchmark": false, + "cudnn_tf32": false, + "deterministic_algorithms": true, + "device": "cuda:0", + "matmul_tf32": false, + "python": "3.12.13", + "torch": "2.14.0+cu130", + "torch_threads": 1 + }, + "completed_updates": 1200, + "verdict": "FAIL", + "forge_gate": "FAIL", + "failed_bounds": [ + "mass_tv=0.244141 <= 0.1 failed", + "last 5 post-update metric observations do not all pass" + ], + "final": { + "ambiguous_hq": 0.9931640625, + "ambiguous_mass_tv": 0.044677734375, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9851782321929932, + "hq": 0.99658203125, + "imputer_accuracy": 0.973876953125, + "imputer_observed_error": 0.0, + "mask_tv": 0.0212402306497097, + "mass_tv": 0.244140625, + "modes": 4, + "off_plane": 0.015106378123164177 + }, + "terminal": [ + { + "step": 1000, + "passed": false, + "metrics": { + "ambiguous_hq": 0.81201171875, + "ambiguous_mass_tv": 0.113037109375, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9850913286209106, + "hq": 0.960693359375, + "imputer_accuracy": 0.97314453125, + "imputer_observed_error": 0.0, + "mask_tv": 0.05136718973517418, + 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Its recipes, source, protocol seed, initialization, actual-training GIFs, measurements and verdicts remain unchanged. This merge launches no scientific training and grants no new qualification or cross-source reuse. + +The source-only future-execution bindings use the existing `evaluation.evaluator_revision` ancestry. They retain the superseded metadata declarations at their exact integration commits. The bindings in [pr-474.json](pr-474.json) name every prior task by commit, Git blob and SHA-256, and retain its exact prior source map. Numerical gates, architectures, target/data/prior/sampling laws, update budgets and evaluation cadence are preserved. Optional complete observation checkpoints and the explicit existing VAE transport consumer are enabled only in PR #461's VAE tasks. + +Integration keeps develop's explicit recipe restoration API, newer prior ownership and optimizer group layouts. Neutral new recipe fields stay absent from archived component receipts. Generated family pages and recall are refreshed while preserving the published scientific rows and task contracts. Existing results remain tied to their original cohort; integrated execution is a new source cohort. + +Validation is software-only: focused numerical/replay controls, source-provenance and public-provider checks, lint, and the repository CI suite. Execution logs remain outside Git under `/tmp/particlegan-pr-fixes-20261108/models` and GitHub Actions. + +## Reviewed integration receipts + +The combined merge retains all four original per-PR source receipts without changing their bytes: + +- [PR #460](pr-460.json) +- [PR #461](pr-461.json) +- [PR #462](pr-462.json) +- [PR #474](pr-474.json) + +[Combined integration and software validation](../reviewed-pr-integration-20261109/README.md) records the subsequent source binding. diff --git a/reports/forge/pr-integration-20261108/pr-460.json b/reports/forge/pr-integration-20261108/pr-460.json new file mode 100644 index 000000000..0e5e3a9a3 --- /dev/null +++ b/reports/forge/pr-integration-20261108/pr-460.json @@ -0,0 +1,1393 @@ +{ + "schema": "pr_develop_integration_source_binding_v1", + "pr": 460, + "original_pr_head": "8b7f3c3e54f3b91ffce77d9e39040d9023caedd1", + "develop_head": "528807d4b26db979c8e77d0543d266514c8e14d9", + "training_rerun": false, + "qualification_results_changed": false, + "automatic_cross_source_reuse": false, + "qualification_input": false, + "change": "Bind future executions to integrated provider/adapter bytes. Original research task/source/seed/initialization, receipts and verdicts stay archived at the original PR head. 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Bind current sources for future execution only; original receipts and verdicts remain unchanged." + } + } + } + }, + "previous_source_sha256": {}, + "added_source_members": [ + "benchmarks/locked_shared/hosts/unused_token_hold.py", + "benchmarks/toy100/device.py" + ] + } + }, + "previous_source_sha256": { + "experiments/forge/behavior_adapters.py": "efaa4654e69c6361562a65c1f8cca3e04b05e91797ed0ce3900c70986edcbfc8" + } + } + ], + "metadata_representation": "Supported source-only evaluation.evaluator_revision ancestry. The superseded additive-key declarations remain archived at superseded_metadata_commit; no training or recorded outcomes used or changed them." +} diff --git a/reports/forge/pr-integration-20261109/README.md b/reports/forge/pr-integration-20261109/README.md new file mode 100644 index 000000000..795aa00f7 --- /dev/null +++ b/reports/forge/pr-integration-20261109/README.md @@ -0,0 +1,20 @@ +# PR #474: audited develop integration + +Integrated develop `5a905a254bf5`, including scientific-contract audit #535. Its source-bound correction registry, distinction between scientific and operational outcomes, and strict current-measurement policy are preserved. Retained publication rows are refreshed from their original records without a scientific rerun or historical regrading. + +The [source receipt](pr-474.json) preserves exact parent task commits, blobs, hashes and source maps. Updated bindings authorize future execution only; original results remain attached to their original source and contract. This integration grants no automatic quality inheritance. + +Validation is software-only. Raw test/CI logs remain outside Git under `/tmp/particlegan-pr-fixes-20261108/models/audit-integration-20261109/` and GitHub Actions. + +## Reviewed integration receipts + +The combined merge retains all four original per-PR source receipts without changing their bytes: + +- [PR #460](pr-460.json) +- [PR #461](pr-461.json) +- [PR #462](pr-462.json) +- [PR #474](pr-474.json) + +[MisGAN independent-game v2 contract](misgan-execution-v2.json) remains source-bound and unmeasured. + +[Combined integration and software validation](../reviewed-pr-integration-20261109/README.md) records the subsequent source binding. diff --git a/reports/forge/pr-integration-20261109/misgan-execution-v2.json b/reports/forge/pr-integration-20261109/misgan-execution-v2.json new file mode 100644 index 000000000..5241f755c --- /dev/null +++ b/reports/forge/pr-integration-20261109/misgan-execution-v2.json @@ -0,0 +1,65 @@ +{ + "schema": "misgan_four_mode_execution_contract_v2", + "qualification_input": false, + 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Selected-resul | Problem | What it tests | Has any configuration passed? | | --- | --- | --- | -| [Keep a bell curve stable, then learn a moved target](problems.md#gaussian1d_stability) | After learning a simple bell curve, keep its centre, width and distribution correct while training continues; then track a shifted target and stay there. | Yes, individual research configurations; no selected recipe passes the complete test. | -| [Preserve rare clusters](problems.md#vector_unequal_mass) | Learn several blobs with different probabilities, including a rare 2% blob, without losing its population or collapsing its shape. | Yes, transport and cell-moment research configurations; BCAP and BISPF fail. | -| [Learn narrow and broad clusters together](problems.md#vector_unequal_width) | Give four equally likely blobs different widths while preserving both their shapes and their equal probabilities. | Yes, balanced assignment and cell-moment research configurations. | -| [Learn stretched and tilted clusters](problems.md#vector_anisotropic) | Match the populations and shapes of three equally likely blobs stretched horizontally, vertically and diagonally. | Yes: K3P, KA2, R1/R2 in separate diagnostics, plus research configurations. | -| [Settle on an overlapping distribution](problems.md#vector_overlap) | Match the observable centre, spread and distribution of two overlapping blobs; no hidden component labels are required. | Yes: K3P in separate diagnostics and multiple research recipes. | -| [Generate all four bar images](problems.md#img_bars4) | Generate each of four simple bar pictures, rather than producing only a few convincing examples. | Yes: R1/R2 and GAN v3 in separate diagnostic measurements. | -| [Generate all four image corners](problems.md#img_blobs4) | Generate a small bright square at each of four corners, with enough clean examples of every corner. | Yes: R1/R2 and kinetic research configurations. | -| [Generate both brightness levels accurately](problems.md#img_intensity2) | Generate a square at either of two target brightnesses, with both levels represented and little brightness error. | Yes: GAN v3, R1/R2 and kinetic transport in separate measurements. | -| [A grid of 100 clusters](problems.md#grid100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No full PASS under the current clean-sampling declaration in the audited evidence. | -| [A rotated grid of 100 clusters](problems.md#rotated100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No full PASS under the current clean-sampling declaration in the audited evidence. | -| [A staggered grid of 100 clusters](problems.md#staggered100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No full PASS under the current clean-sampling declaration in the audited evidence. | -| [Keep the 100-cluster grid correct for longer](problems.md#grid100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No qualifying PASS; no passing current-declaration parent is available. | -| [Keep the 100-cluster rotated grid correct for longer](problems.md#rotated100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No qualifying PASS; no passing current-declaration parent is available. | -| [Keep the 100-cluster staggered grid correct for longer](problems.md#staggered100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No qualifying PASS; no passing current-declaration parent is available. | -| [Recover quickly after the target moves](problems.md#target_shift_recovery) | Learn and hold a ring of blobs, then track a sudden sideways shift within 400 updates and stay correct; a frozen model must fail to show the change is real. | No complete PASS under the current declaration in the audited evidence. | -| [Keep every learned mode alive](problems.md#mode_hold) | Keep generating every target mode during continued training, rather than losing modes after initially finding them. | Yes: the selected BISPF recipe and some research configurations. | -| [Keep a learned ring stable for a long run](problems.md#ring_extension) | Acquire all eight ring blobs, hold them for 1,200 consecutive checks, then survive 300 additional checks on the same uninterrupted run. | Yes: BISPF in a saved separate-runtime diagnostic; no selected ordinary PASS. | -| [Learn sixteen distinct clusters from scratch](problems.md#ring16_acquisition) | Learn all sixteen blobs on a ring with balanced populations and real within-blob spread, rather than sixteen collapsed points. | Yes: selected BCAP and BISPF recipes. | -| [Learning must not depend on external clock labels](problems.md#clockfree_audit_measurement_v1) | Check that the same learning state and inputs produce the same update despite changed step labels, declared horizon, evaluation cadence or a save/restart. | Yes: selected BCAP and BISPF recipes. | -| [Escape a tanh saturation rail after the target shifts to zero](problems.md#zero_tanh_rail_escape) | First converge near the tanh saturation rail at (+0.90, -0.90) where tanh' is attenuated (~0.19), then escape the rail within 400 updates when the target shifts to (0.0, 0.0) at update 1,001 and stay settled there. | Yes in standalone public-API seed-0 execution (K3P); not yet measured across the full selected-family roster. | -| [Survive a 16-layer unnormalized MLP generator on the 100-cluster grid](problems.md#grid100_mlp16) | Learn all 100 equal-weight Gaussian modes on `grid100` using a 16-hidden-layer 128-wide LeakyReLU(0.2) MLP generator without residual skips or normalization layers. | No full PASS under the current clean-sampling declaration; constructive capacity witness passes. | -| [Learn the 100-cluster grid with a 16-layer residual MLP and bounded tanh head](problems.md#grid100_res16_tanh) | Recover all 100 Gaussian modes on `grid100` using a 16-layer identity-skip residual MLP generator and a bounded `S=5.25` scaled `tanh` output head without saturating the `\|x\| > 0.99 * 5.25` rails. | No full PASS on the unnormalized backbone; paired `grid100_res16_scaled_tanh` task (`ScaledResidualMLPGenerator` + `TanhRailGuard`, 8/8 selected families PASS at full 7,000-step GPU budget) and constructive residual-tanh witness pass with zero saturation. | -| [Recover an 8D lifted 100-mode manifold from incomplete block-masked data (MisGAN + ppost)](problems.md#misgan_block_recovery) | Train a 2-pair incomplete-data MisGAN (`(G_x, D_x)` + `(G_m, D_m)` with detached mask gradient in `L_x`) observing only masked 8D data `(x * m, m)` under structured block dropout, then impute held-out rows via native Bayesian particle-posterior (`ppost`) resampling from `G_x`. | Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix via GAIN-style hint conditioning on `D_x` and observed-subspace completion without temperature annealing. | -| [Learn a multimodal neural imputer on ambiguous single-sensor block masks without ppost](problems.md#misgan_block_neural_imputer) | Train a 3-pair MisGAN (`(G_x, D_x)` + `(G_m, D_m)` + `(G_i, D_i)`) and grade the neural imputer `G_i([x * m, m, z_i])` directly on the 16 held-out ambiguous single-sensor queries without `ppost` particle resampling. | Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix without temperature annealing. | -| [Learn a continuous 16-mode ring joint Encoder-Generator-Critic BiGAN](problems.md#ring16_bigan_continuous) | Train a continuous 2D multimodal joint BiGAN `(G(z), E(x), D(x, z))` on the 16-Gaussian ring (`MoGParticlePrior(sigma=0.1)`), simultaneously satisfying forward 16-mode generation and paired round-trip reconstruction `x -> G(E(x))`. | Yes: `k3p` (adopted as the default continuous BiGAN recipe) and `ka2` paired with ALICE cycle-consistency (`lambda_cycle = 2.0`) and coordinate Fourier features (`K=3`) pass all 5 sustained terminal checks. | -| [Separate direct sample particles across two symmetric poles](problems.md#two_pole) | Drive a generator-free direct particle cloud from zero to two symmetric poles (`mean_abs >= 0.30`) and hold them steady with bounded critic gradient (`grad_med <= 1.0`) across the final five checks. | Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. | -| [Acquire five discrete words and paired BiGAN reconstructions in 20,001 joint updates](problems.md#five_word_joint_smoke) | Train a joint generator-encoder-prior-critic BiGAN over five five-letter words for 20,001 updates, acquiring all five clean word modes (`modes == 5`, `quality_fraction >= 0.95`, `mass_tv <= 0.10`) and exact high-confidence paired reconstructions (`reconstruction_exact == 1`, `minimum_reconstruction_token_probability >= 0.90`) at an independently confirmed scheduled state. | Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. | -| [Reconstruct four noisy corner Gaussians and generate balanced independent modes (AE-GAN)](problems.md#model_ae_gan_multimodal) | Train a public-API multimodal AE-GAN to reconstruct four equally weighted corner Gaussians (`reconstruction_mse <= 0.025`, `reconstruction_mode_agreement >= 0.98`) while independently generating all four modes with balanced masses (`mass_tv <= 0.15`) and well-conditioned within-mode covariances (`0.10 <= eigen_ratio <= 4.0`) across the final five checks. | Yes in standalone bounded API research (`bispf-optimized-quintic-v1` CPU cohort); no ordinary selected CUDA PASS yet. | -| [Learn four-step conditional reverse transitions and ancestral generation (DDGAN)](problems.md#model_ddgan_gaussian_chain) | Train a four-step public-API DDGAN on a 2D Gaussian forward diffusion chain so every reverse conditional transition (`t1..t4`, `q0`/`q1`) and the final ancestral marginal satisfy `projection_cdf <= 0.12`, `normalized_mean <= 0.25`, and covariance eigenvalues in `[0.65, 1.40]` across the last five checks. | No PASS under the current declaration in either ordinary selected cohorts or bounded API research. | -| [Pair particle AE reconstruction with four-step DDGAN reverse transitions and ancestral generation](problems.md#model_ae_ddgan_gaussian_chain) | Reconstruct held-out inputs through a learned particle autoencoder and four public DDGAN reverse steps (`paired_nmse <= 0.10`, `paired_worst_axis_nrmse <= 0.25`, `paired_shuffled_gain >= 3.0`) while simultaneously passing all conditional reverse-transition and independent ancestral-chain bounds. | No complete PASS under the current declaration; paired four-step reconstruction passes while independent/conditional reverse generation fails. | -| [Learn a Gaussian with 8-bit MXFP8 training arithmetic](problems.md#precision_gaussian_mxfp8) | Train from the shared deterministic initialization using Blackwell-format MXFP8 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. | Not measured. Short software checks do not establish a quality PASS. | -| [Learn a Gaussian with 4-bit NVFP4 training arithmetic](problems.md#precision_gaussian_nvfp4) | Train from the shared deterministic initialization using Blackwell-format NVFP4 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. | Not measured. Short software checks do not establish a quality PASS. | +| [Keep a bell curve stable, then learn a moved target](problems.md#gaussian1d_stability) | After learning a simple bell curve, keep its centre, width and distribution correct while training continues; then track a shifted target and stay there. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Preserve rare clusters](problems.md#vector_unequal_mass) | Learn several blobs with different probabilities, including a rare 2% blob, without losing its population or collapsing its shape. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn narrow and broad clusters together](problems.md#vector_unequal_width) | Give four equally likely blobs different widths while preserving both their shapes and their equal probabilities. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn stretched and tilted clusters](problems.md#vector_anisotropic) | Match the populations and shapes of three equally likely blobs stretched horizontally, vertically and diagonally. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Settle on an overlapping distribution](problems.md#vector_overlap) | Match the observable centre, spread and distribution of two overlapping blobs; no hidden component labels are required. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Generate all four bar images](problems.md#img_bars4) | Generate each of four simple bar pictures, rather than producing only a few convincing examples. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Generate all four image corners](problems.md#img_blobs4) | Generate a small bright square at each of four corners, with enough clean examples of every corner. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Generate both brightness levels accurately](problems.md#img_intensity2) | Generate a square at either of two target brightnesses, with both levels represented and little brightness error. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [A grid of 100 clusters](problems.md#grid100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [A rotated grid of 100 clusters](problems.md#rotated100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [A staggered grid of 100 clusters](problems.md#staggered100) | Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Keep the 100-cluster grid correct for longer](problems.md#grid100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Keep the 100-cluster rotated grid correct for longer](problems.md#rotated100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Keep the 100-cluster staggered grid correct for longer](problems.md#staggered100_14k) | Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Recover quickly after the target moves](problems.md#target_shift_recovery) | Learn and hold a ring of blobs, then track a sudden sideways shift within 400 updates and stay correct; a frozen model must fail to show the change is real. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Keep every learned mode alive](problems.md#mode_hold) | Keep generating every target mode during continued training, rather than losing modes after initially finding them. | Selected recorded PASS: BISPF. | +| [Keep a learned ring stable for a long run](problems.md#ring_extension) | Acquire all eight ring blobs, hold them for 1,200 consecutive checks, then survive 300 additional checks on the same uninterrupted run. | Selected recorded PASS: BISPF. | +| [Learn sixteen distinct clusters from scratch](problems.md#ring16_acquisition) | Learn all sixteen blobs on a ring with balanced populations and real within-blob spread, rather than sixteen collapsed points. | Selected recorded PASS: BCAP, BISPF. | +| [Learning must not depend on external clock labels](problems.md#clockfree_audit_measurement_v1) | Check that the same learning state and inputs produce the same update despite changed step labels, declared horizon, evaluation cadence or a save/restart. | Selected recorded PASS: BCAP, BISPF, Atlas. | +| [Escape a tanh saturation rail after the target shifts to zero](problems.md#zero_tanh_rail_escape) | First converge near the tanh saturation rail at (+0.90, -0.90) where tanh' is attenuated (~0.19), then escape the rail within 400 updates when the target shifts to (0.0, 0.0) at update 1,001 and stay settled there. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Survive a 16-layer unnormalized MLP generator on the 100-cluster grid](problems.md#grid100_mlp16) | Learn all 100 equal-weight Gaussian modes on `grid100` using a 16-hidden-layer 128-wide LeakyReLU(0.2) MLP generator without residual skips or normalization layers. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn the 100-cluster grid with a 16-layer residual MLP and bounded tanh head](problems.md#grid100_res16_tanh) | Recover all 100 Gaussian modes on `grid100` using a 16-layer identity-skip residual MLP generator and a bounded `S=5.25` scaled `tanh` output head without saturating the `\|x\| > 0.99 * 5.25` rails. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Recover an 8D lifted 100-mode manifold from incomplete block-masked data (MisGAN + ppost)](problems.md#misgan_block_recovery) | Train a 2-pair incomplete-data MisGAN (`(G_x, D_x)` + `(G_m, D_m)` with detached mask gradient in `L_x`) observing only masked 8D data `(x * m, m)` under structured block dropout, then impute held-out rows via native Bayesian particle-posterior (`ppost`) resampling from `G_x`. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn a multimodal neural imputer on ambiguous single-sensor block masks without ppost](problems.md#misgan_block_neural_imputer) | Train a 3-pair MisGAN (`(G_x, D_x)` + `(G_m, D_m)` + `(G_i, D_i)`) and grade the neural imputer `G_i([x * m, m, z_i])` directly on the 16 held-out ambiguous single-sensor queries without `ppost` particle resampling. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn a continuous 16-mode ring joint Encoder-Generator-Critic BiGAN](problems.md#ring16_bigan_continuous) | Train a continuous 2D multimodal joint BiGAN `(G(z), E(x), D(x, z))` on the 16-Gaussian ring (`MoGParticlePrior(sigma=0.1)`), simultaneously satisfying forward 16-mode generation and paired round-trip reconstruction `x -> G(E(x))`. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Separate direct sample particles across two symmetric poles](problems.md#two_pole) | Drive a generator-free direct particle cloud from zero to two symmetric poles (`mean_abs >= 0.30`) and hold them steady with bounded critic gradient (`grad_med <= 1.0`) across the final five checks. | Selected recorded PASS: BCAP, BISPF, GAN v3 release 0.7, K3P, KA2, R1/R2. | +| [Acquire five discrete words and paired BiGAN reconstructions in 20,001 joint updates](problems.md#five_word_joint_smoke) | Train a joint generator-encoder-prior-critic BiGAN over five five-letter words for 20,001 updates, acquiring all five clean word modes (`modes == 5`, `quality_fraction >= 0.95`, `mass_tv <= 0.10`) and exact high-confidence paired reconstructions (`reconstruction_exact == 1`, `minimum_reconstruction_token_probability >= 0.90`) at an independently confirmed scheduled state. | Selected recorded PASS: BCAP, BISPF, GAN v3 release 0.7, K3P, KA2, R1/R2. | +| [Reconstruct four noisy corner Gaussians and generate balanced independent modes (AE-GAN)](problems.md#model_ae_gan_multimodal) | Train a public-API multimodal AE-GAN to reconstruct four equally weighted corner Gaussians (`reconstruction_mse <= 0.025`, `reconstruction_mode_agreement >= 0.98`) while independently generating all four modes with balanced masses (`mass_tv <= 0.15`) and well-conditioned within-mode covariances (`0.10 <= eigen_ratio <= 4.0`) across the final five checks. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn four-step conditional reverse transitions and ancestral generation (DDGAN)](problems.md#model_ddgan_gaussian_chain) | Train a four-step public-API DDGAN on a 2D Gaussian forward diffusion chain so every reverse conditional transition (`t1..t4`, `q0`/`q1`) and the final ancestral marginal satisfy `projection_cdf <= 0.12`, `normalized_mean <= 0.25`, and covariance eigenvalues in `[0.65, 1.40]` across the last five checks. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Pair particle AE reconstruction with four-step DDGAN reverse transitions and ancestral generation](problems.md#model_ae_ddgan_gaussian_chain) | Reconstruct held-out inputs through a learned particle autoencoder and four public DDGAN reverse steps (`paired_nmse <= 0.10`, `paired_worst_axis_nrmse <= 0.25`, `paired_shuffled_gain >= 3.0`) while simultaneously passing all conditional reverse-transition and independent ancestral-chain bounds. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn a Gaussian with 8-bit MXFP8 training arithmetic](problems.md#precision_gaussian_mxfp8) | Train from the shared deterministic initialization using Blackwell-format MXFP8 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | +| [Learn a Gaussian with 4-bit NVFP4 training arithmetic](problems.md#precision_gaussian_nvfp4) | Train from the shared deterministic initialization using Blackwell-format NVFP4 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. | No selected recorded PASS; see exact outcomes and dated diagnostic evidence below. | @@ -52,9 +52,9 @@ Test: `gaussian1d_stability` · Required for qualification and included in full- **What it tests.** After learning a simple bell curve, keep its centre, width and distribution correct while training continues; then track a shifted target and stay there. -**The problem.** BCAP and BISPF keep oscillating instead of settling. BISPF passes only 5 of 72 stationary checks, misses deadline re-acquisition and passes 0 of 24 shifted-hold checks. A one-time smoke pass does not establish stability. +**Historical diagnosis (2026-10-15).** BCAP and BISPF keep oscillating instead of settling. BISPF passes only 5 of 72 stationary checks, misses deadline re-acquisition and passes 0 of 24 shifted-hold checks. A one-time smoke pass does not establish stability. -**Has any configuration beaten it?** Yes, individual research configurations; no selected recipe passes the complete test. +**Historical passer evidence.** Yes, individual research configurations; no selected recipe passes the complete test. - `kinetic-local-nsgda-cross-v1`, `kinetic-local-dualnorm-g-history-v1` and `kinetic-local-dualnorm-g-history-bank8-v-v1` pass, but fail ring16 and mode hold. - Cell-gradient-signal configurations and `cell-quota-minimum-change-forward-kl-g-v1` also pass. The latter passes mode hold too, but its later ring16 probe fails and it cannot run two-pole or word smoke. @@ -66,14 +66,14 @@ Test: `gaussian1d_stability` · Required for qualification and included in full- | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-gaussian1d_stability) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-gaussian1d_stability) | -**What remains to solve.** Find an update rule that settles when correct but responds after a shift, then verify the same recipe on ring16 and mode hold. Existing trade-offs do not prove the problem impossible. +**Recommendation from the dated diagnosis.** Find an update rule that settles when correct but responds after a shift, then verify the same recipe on ring16 and mode hold. Existing trade-offs do not prove the problem impossible. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#gaussian1d_stability). @@ -86,9 +86,9 @@ Test: `vector_unequal_mass` · Held for qualification; included in full-suite re **What it tests.** Learn several blobs with different probabilities, including a rare 2% blob, without losing its population or collapsing its shape. -**The problem.** The rare blob receives little training signal. BISPF preserves its share but flattens its shape: minimum eigen ratio 0.004 against the required 0.15. BCAP also collapses it. +**Historical diagnosis (2026-10-15).** The rare blob receives little training signal. BISPF preserves its share but flattens its shape: minimum eigen ratio 0.004 against the required 0.15. BCAP also collapses it. -**Has any configuration beaten it?** Yes, transport and cell-moment research configurations; BCAP and BISPF fail. +**Historical passer evidence.** Yes, transport and cell-moment research configurations; BCAP and BISPF fail. - `kinetic_transport_local_v2` and the two kinetic g-history reference8 variants pass; they fail unequal-width and mode hold. - Round-5 direction blend plus local-v2 passes, but fails Gaussian stability and unequal-width and was not measured on most of the required suite. @@ -100,14 +100,14 @@ Test: `vector_unequal_mass` · Held for qualification; included in full-suite re | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_mass) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_mass) | -**What remains to solve.** Preserve rare-cluster coverage and shape while checking unequal-width, ring16 and mode hold with one unchanged recipe. +**Recommendation from the dated diagnosis.** Preserve rare-cluster coverage and shape while checking unequal-width, ring16 and mode hold with one unchanged recipe. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#vector_unequal_mass). @@ -120,9 +120,9 @@ Test: `vector_unequal_width` · Held for qualification; included in full-suite r **What it tests.** Give four equally likely blobs different widths while preserving both their shapes and their equal probabilities. -**The problem.** BISPF gets the shares wrong (mass TV 0.25) even where shapes pass. BCAP has both share and spread errors. A few strays can dominate a narrow blob. +**Historical diagnosis (2026-10-15).** BISPF gets the shares wrong (mass TV 0.25) even where shapes pass. BCAP has both share and spread errors. A few strays can dominate a narrow blob. -**Has any configuration beaten it?** Yes, balanced assignment and cell-moment research configurations. +**Historical passer evidence.** Yes, balanced assignment and cell-moment research configurations. - Round-5 balanced coordinate assignment passes with 14 terminal checks and spread error 0.286, but loses unequal-mass, Gaussian stability and native 100-blob quality; much of the required suite is untried. - Cell-moment aggregate and per-kernel recipes pass but fail other required tests. G-angle has a historical-source pass, not a current selected pass. @@ -133,14 +133,14 @@ Test: `vector_unequal_width` · Held for qualification; included in full-suite r | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_unequal_width) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_unequal_width) | -**What remains to solve.** Test the balanced-assignment reference on the missing suite and solve its rare-cluster regression before claiming a global improvement. +**Recommendation from the dated diagnosis.** Test the balanced-assignment reference on the missing suite and solve its rare-cluster regression before claiming a global improvement. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#vector_unequal_width). @@ -153,9 +153,9 @@ Test: `vector_anisotropic` · Held for qualification; included in full-suite res **What it tests.** Match the populations and shapes of three equally likely blobs stretched horizontally, vertically and diagonally. -**The problem.** Both leading recipes allocate the wrong amounts to the blobs. BISPF has mass TV 0.191 against 0.15 and covariance error 2.0. +**Historical diagnosis (2026-10-15).** Both leading recipes allocate the wrong amounts to the blobs. BISPF has mass TV 0.191 against 0.15 and covariance error 2.0. -**Has any configuration beaten it?** Yes: K3P, KA2, R1/R2 in separate diagnostics, plus research configurations. +**Historical passer evidence.** Yes: K3P, KA2, R1/R2 in separate diagnostics, plus research configurations. - K3P, KA2 and R1/R2 pass in the attempt index, separately from qualifying selected-cohort results. They fail mode hold, ring16 and the clock measurement in the recorded comparison. - Nine additional indexed research recipes and four cell-moment aggregates pass. Recorded passers with mode-hold measurements fail it. @@ -166,14 +166,14 @@ Test: `vector_anisotropic` · Held for qualification; included in full-suite res | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [PASS](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_anisotropic) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_anisotropic) | -**What remains to solve.** Retain the successful mass allocation while preserving mode hold and basic acquisition. +**Recommendation from the dated diagnosis.** Retain the successful mass allocation while preserving mode hold and basic acquisition. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#vector_anisotropic). @@ -186,9 +186,9 @@ Test: `vector_overlap` · Held for qualification; included in full-suite results **What it tests.** Match the observable centre, spread and distribution of two overlapping blobs; no hidden component labels are required. -**The problem.** BCAP reaches the target temporarily and drifts away. BISPF ends with centre error 0.28, covariance error 0.53 and distribution distance 0.19; it misses the sustained ending. +**Historical diagnosis (2026-10-15).** BCAP reaches the target temporarily and drifts away. BISPF ends with centre error 0.28, covariance error 0.53 and distribution distance 0.19; it misses the sustained ending. -**Has any configuration beaten it?** Yes: K3P in separate diagnostics and multiple research recipes. +**Historical passer evidence.** Yes: K3P in separate diagnostics and multiple research recipes. - K3P and ten other indexed configurations pass under the recorded declaration; all fail mode hold. - Four cell-moment aggregates pass; three lose mode hold and the Bures variant loses ring16. @@ -199,14 +199,14 @@ Test: `vector_overlap` · Held for qualification; included in full-suite results | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [PASS](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-vector_overlap) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-vector_overlap) | -**What remains to solve.** Add stability without losing multimodal acquisition or mode hold. A good endpoint alone does not meet the sustained gate. +**Recommendation from the dated diagnosis.** Add stability without losing multimodal acquisition or mode hold. A good endpoint alone does not meet the sustained gate. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#vector_overlap). @@ -219,9 +219,9 @@ Test: `img_bars4` · Held for qualification; included in full-suite results. **What it tests.** Generate each of four simple bar pictures, rather than producing only a few convincing examples. -**The problem.** BCAP and BISPF produce clean pictures but only 2 of 4 bars. Some transport recipes reach more bars but produce too many blurry pictures. +**Historical diagnosis (2026-10-15).** BCAP and BISPF produce clean pictures but only 2 of 4 bars. Some transport recipes reach more bars but produce too many blurry pictures. -**Has any configuration beaten it?** Yes: R1/R2 and GAN v3 in separate diagnostic measurements. +**Historical passer evidence.** Yes: R1/R2 and GAN v3 in separate diagnostic measurements. - R1/R2 and GAN v3 pass this declaration, but fail ring16, the clock measurement and the required stripes test. - Older historical recipes pass bars and stripes together under different contracts; they cannot fill today's cells. @@ -232,14 +232,14 @@ Test: `img_bars4` · Held for qualification; included in full-suite results. | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_bars4) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_bars4) | -**What remains to solve.** Preserve all four clean bar modes while passing stripes and the acquisition tests with the same recipe. +**Recommendation from the dated diagnosis.** Preserve all four clean bar modes while passing stripes and the acquisition tests with the same recipe. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#img_bars4). @@ -252,9 +252,9 @@ Test: `img_blobs4` · Held for qualification; included in full-suite results. **What it tests.** Generate a small bright square at each of four corners, with enough clean examples of every corner. -**The problem.** BISPF reaches 3 corners and 28/32 clean pictures; the gate requires all 4 and at least 29/32. BCAP reaches 2 corners. A near miss or four passing checks is not a five-check sustained pass. +**Historical diagnosis (2026-10-15).** BISPF reaches 3 corners and 28/32 clean pictures; the gate requires all 4 and at least 29/32. BCAP reaches 2 corners. A near miss or four passing checks is not a five-check sustained pass. -**Has any configuration beaten it?** Yes: R1/R2 and kinetic research configurations. +**Historical passer evidence.** Yes: R1/R2 and kinetic research configurations. - R1/R2 passes in separate diagnostic measurements with an 18-check streak, but loses ring16 and the clock measurement. - `kinetic_transport_local_v2` passes but fails two-pole and unused-token hold. Four kinetic history variants pass but are blocked on basic behavioural tests. @@ -265,14 +265,14 @@ Test: `img_blobs4` · Held for qualification; included in full-suite results. | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_blobs4) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_blobs4) | -**What remains to solve.** Keep all four corners clean and sustained without breaking basic learning and identity preservation. +**Recommendation from the dated diagnosis.** Keep all four corners clean and sustained without breaking basic learning and identity preservation. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#img_blobs4). @@ -285,9 +285,9 @@ Test: `img_intensity2` · Held for qualification; included in full-suite results **What it tests.** Generate a square at either of two target brightnesses, with both levels represented and little brightness error. -**The problem.** BISPF collapses to one brightness level. BCAP produces both but 10/32 pictures have inaccurate brightness. +**Historical diagnosis (2026-10-15).** BISPF collapses to one brightness level. BCAP produces both but 10/32 pictures have inaccurate brightness. -**Has any configuration beaten it?** Yes: GAN v3, R1/R2 and kinetic transport in separate measurements. +**Historical passer evidence.** Yes: GAN v3, R1/R2 and kinetic transport in separate measurements. - GAN v3, R1/R2 and `kinetic_transport_local_v2` pass the recorded declaration, but fail required Tier 1 tests. - A historical wider-network pass belongs to `img_intensity2_residual16`, a different task variant. @@ -298,14 +298,14 @@ Test: `img_intensity2` · Held for qualification; included in full-suite results | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-img_intensity2) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-img_intensity2) | -**What remains to solve.** Learn accurate, balanced brightness modes while retaining the other image and acquisition passes. +**Recommendation from the dated diagnosis.** Learn accurate, balanced brightness modes while retaining the other image and acquisition passes. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#img_intensity2). @@ -318,9 +318,9 @@ Test: `grid100` · Required for qualification and included in full-suite results **What it tests.** Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. -**The problem.** BCAP/BISPF put only 24–37% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 54%, still below the gate. +**Historical diagnosis (2026-10-15).** BCAP/BISPF put only 24–37% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 54%, still below the gate. -**Has any configuration beaten it?** No full PASS under the current clean-sampling declaration in the audited evidence. +**Historical passer evidence.** No full PASS under the current clean-sampling declaration in the audited evidence. - Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration. - True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate. @@ -331,14 +331,14 @@ Test: `grid100` · Required for qualification and included in full-suite results | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100) | -**What remains to solve.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. +**Recommendation from the dated diagnosis.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#grid100). @@ -351,9 +351,9 @@ Test: `rotated100` · Required for qualification and included in full-suite resu **What it tests.** Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. -**The problem.** BCAP/BISPF put only 26–27% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 51%, still below the gate. +**Historical diagnosis (2026-10-15).** BCAP/BISPF put only 26–27% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 51%, still below the gate. -**Has any configuration beaten it?** No full PASS under the current clean-sampling declaration in the audited evidence. +**Historical passer evidence.** No full PASS under the current clean-sampling declaration in the audited evidence. - Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration. - True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate. @@ -364,14 +364,14 @@ Test: `rotated100` · Required for qualification and included in full-suite resu | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100) | -**What remains to solve.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. +**Recommendation from the dated diagnosis.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#rotated100). @@ -384,9 +384,9 @@ Test: `staggered100` · Required for qualification and included in full-suite re **What it tests.** Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise. -**The problem.** BCAP/BISPF put only 30–34% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 56%, still below the gate. +**Historical diagnosis (2026-10-15).** BCAP/BISPF put only 30–34% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 56%, still below the gate. -**Has any configuration beaten it?** No full PASS under the current clean-sampling declaration in the audited evidence. +**Historical passer evidence.** No full PASS under the current clean-sampling declaration in the audited evidence. - Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration. - True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate. @@ -397,14 +397,14 @@ Test: `staggered100` · Required for qualification and included in full-suite re | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100) | -**What remains to solve.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. +**Recommendation from the dated diagnosis.** Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#staggered100). @@ -417,9 +417,9 @@ Test: `grid100_14k` · Required for qualification and included in full-suite res **What it tests.** Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. -**The problem.** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. +**Historical diagnosis (2026-10-15).** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. -**Has any configuration beaten it?** No qualifying PASS; no passing current-declaration parent is available. +**Historical passer evidence.** No qualifying PASS; no passing current-declaration parent is available. - The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass. - The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL. @@ -428,16 +428,16 @@ Test: `grid100_14k` · Required for qualification and included in full-suite res | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_14k) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_14k) | -**What remains to solve.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. +**Recommendation from the dated diagnosis.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#grid100_14k). @@ -450,9 +450,9 @@ Test: `rotated100_14k` · Required for qualification and included in full-suite **What it tests.** Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. -**The problem.** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. +**Historical diagnosis (2026-10-15).** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. -**Has any configuration beaten it?** No qualifying PASS; no passing current-declaration parent is available. +**Historical passer evidence.** No qualifying PASS; no passing current-declaration parent is available. - The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass. - The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL. @@ -461,16 +461,16 @@ Test: `rotated100_14k` · Required for qualification and included in full-suite | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-rotated100_14k) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-rotated100_14k) | -**What remains to solve.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. +**Recommendation from the dated diagnosis.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#rotated100_14k). @@ -483,9 +483,9 @@ Test: `staggered100_14k` · Required for qualification and included in full-suit **What it tests.** Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality. -**The problem.** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. +**Historical diagnosis (2026-10-15).** The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass. -**Has any configuration beaten it?** No qualifying PASS; no passing current-declaration parent is available. +**Historical passer evidence.** No qualifying PASS; no passing current-declaration parent is available. - The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass. - The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL. @@ -494,16 +494,16 @@ Test: `staggered100_14k` · Required for qualification and included in full-suit | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-staggered100_14k) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-staggered100_14k) | -**What remains to solve.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. +**Recommendation from the dated diagnosis.** First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#staggered100_14k). @@ -516,9 +516,9 @@ Test: `target_shift_recovery` · Required for qualification and included in full **What it tests.** Learn and hold a ring of blobs, then track a sudden sideways shift within 400 updates and stay correct; a frozen model must fail to show the change is real. -**The problem.** BISPF learns and holds the original ring, then recovers too late: it becomes steady 620 updates after the shift, missing the 400-update deadline. This is an adaptation-speed failure, not an inability to recover at all. +**Historical diagnosis (2026-10-15).** BISPF learns and holds the original ring, then recovers too late: it becomes steady 620 updates after the shift, missing the 400-update deadline. This is an adaptation-speed failure, not an inability to recover at all. -**Has any configuration beaten it?** No complete PASS under the current declaration in the audited evidence. +**Historical passer evidence.** No complete PASS under the current declaration in the audited evidence. - BISPF meets three of four parts but misses the recovery deadline. - Older PR215/PR217 recipes pass a different ring-shift question under earlier contracts, not this test. @@ -527,16 +527,16 @@ Test: `target_shift_recovery` · Required for qualification and included in full | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-target_shift_recovery) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-target_shift_recovery) | -**What remains to solve.** Improve adaptation speed while keeping stationary stability. If the deadline itself is reconsidered, use an explicitly versioned task and preserve the old failure. +**Recommendation from the dated diagnosis.** Improve adaptation speed while keeping stationary stability. If the deadline itself is reconsidered, use an explicitly versioned task and preserve the old failure. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#target_shift_recovery). @@ -549,9 +549,9 @@ Test: `mode_hold` · Required for qualification and included in full-suite resul **What it tests.** Keep generating every target mode during continued training, rather than losing modes after initially finding them. -**The problem.** BCAP falls one sustained window short in the reviewed run (3 terminal passing checks; 5 required). This single test accounts for BISPF's six-point lead when repeated across six views. +**Historical diagnosis (2026-10-15).** BCAP falls one sustained window short in the reviewed run (3 terminal passing checks; 5 required). This single test accounts for BISPF's six-point lead when repeated across six views. -**Has any configuration beaten it?** Yes: the selected BISPF recipe and some research configurations. +**Historical passer evidence.** Yes: the selected BISPF recipe and some research configurations. - `bispf-v1` has a recorded PASS with a 12-check terminal streak. Its source is stale; this is not a fresh current-source qualification. - The cell-quota minimum-change recipe also passes mode hold but fails ring16. The reviewed tether-only BCAP ablation does not reproduce the BISPF win. @@ -562,14 +562,14 @@ Test: `mode_hold` · Required for qualification and included in full-suite resul | --- | --- | | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-mode_hold) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-mode_hold) | -**What remains to solve.** Preserve the BISPF pass on current source and combine it with repairs to Gaussian, vector and image failures. +**Recommendation from the dated diagnosis.** Preserve the BISPF pass on current source and combine it with repairs to Gaussian, vector and image failures. Evidence: [BISPF lead and ablation evidence](WHAT_WORKED_REVIEW_20261015.md). @@ -582,27 +582,29 @@ Test: `ring_extension` · Required for qualification and included in full-suite **What it tests.** Acquire all eight ring blobs, hold them for 1,200 consecutive checks, then survive 300 additional checks on the same uninterrupted run. -**The problem.** BISPF lacks an ordinary qualifying run in the selected cohort. BCAP's diagnostic run loses quality during the hold phase; the extension cannot rescue a failed hold. +**Historical diagnosis (2026-10-15).** BISPF lacks an ordinary qualifying run in the selected cohort. BCAP's diagnostic run loses quality during the hold phase; the extension cannot rescue a failed hold. -**Has any configuration beaten it?** Yes: BISPF in a saved separate-runtime diagnostic; no selected ordinary PASS. +**Historical passer evidence.** Yes: BISPF in a saved separate-runtime diagnostic; no selected ordinary PASS. - BISPF producer `bf5d13ff` passes the full diagnostic run: 1,200/1,200 hold checks and 300/300 extension checks, with minimum quality above 0.99. - That diagnostic result is evidence the problem is solvable. It does not fill the selected cohort's unmeasured cell. `ring_hold` remains a visible phase, not a second independent test. +**Scope correction for retained diagnostic observations.** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [NOT MEASURED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring_extension) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring_extension) | -**What remains to solve.** Measure the unchanged BISPF recipe in its ordinary cohort on current source and preserve the whole acquisition/hold/extension protocol. +**Recommendation from the dated diagnosis.** Measure the unchanged BISPF recipe in its ordinary cohort on current source and preserve the whole acquisition/hold/extension protocol. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#ring_extension). @@ -615,9 +617,9 @@ Test: `ring16_acquisition` · Required for qualification and included in full-su **What it tests.** Learn all sixteen blobs on a ring with balanced populations and real within-blob spread, rather than sixteen collapsed points. -**The problem.** The selected K3P, KA2, R1/R2 and GAN v3 measurements fail this Tier 1 gate, preventing later qualification. Their results on other questions do not erase this acquisition failure. +**Historical diagnosis (2026-10-15).** The selected K3P, KA2, R1/R2 and GAN v3 measurements fail this Tier 1 gate, preventing later qualification. Their results on other questions do not erase this acquisition failure. -**Has any configuration beaten it?** Yes: selected BCAP and BISPF recipes. +**Historical passer evidence.** Yes: selected BCAP and BISPF recipes. - The selected BCAP DualNorm and `bispf-v1` records pass. Their recorded results remain bound to their original budgets and sources. - Some research recipes pass ring16 but lose mode hold; per-test winners do not establish a single winner for the entire suite. @@ -629,13 +631,13 @@ Test: `ring16_acquisition` · Required for qualification and included in full-su | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_acquisition) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_acquisition) | -**What remains to solve.** Retain the passing ring baseline while repairing the held tests. Longer-budget or changed-schedule results must remain explicitly separate until adopted and measured. +**Recommendation from the dated diagnosis.** Retain the passing ring baseline while repairing the held tests. Longer-budget or changed-schedule results must remain explicitly separate until adopted and measured. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#gaussian1d_stability) · [Task declaration](../../configs/forge/tasks/ring16_acquisition.json). @@ -648,9 +650,9 @@ Test: `clockfree_audit_measurement_v1` · Required for qualification and include **What it tests.** Check that the same learning state and inputs produce the same update despite changed step labels, declared horizon, evaluation cadence or a save/restart. -**The problem.** The recorded scheduled K3P, KA2, R1/R2 and GAN v3 recipes depend on step or horizon through annealing. Good numerical fits do not satisfy this separate invariance requirement. +**Historical diagnosis (2026-10-15).** The recorded scheduled K3P, KA2, R1/R2 and GAN v3 recipes depend on step or horizon through annealing. Good numerical fits do not satisfy this separate invariance requirement. -**Has any configuration beaten it?** Yes: selected BCAP and BISPF recipes. +**Historical passer evidence.** Yes: selected BCAP and BISPF recipes. - BCAP and BISPF pass the Tier 1 measurement with constant-rate configurations. - `clockfree_audit` is the duplicate longer-form gate and remains visible as a diagnostic; it is excluded from the distinct full-suite total to avoid counting the same question twice. @@ -662,13 +664,13 @@ Test: `clockfree_audit_measurement_v1` · Required for qualification and include | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-clockfree_audit_measurement_v1) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-clockfree_audit_measurement_v1) | -**What remains to solve.** Use saved internal state rather than external labels for adaptation, or explicitly version the desired policy. Do not silently treat an annealed recipe as clock-free. +**Recommendation from the dated diagnosis.** Use saved internal state rather than external labels for adaptation, or explicitly version the desired policy. Do not silently treat an annealed recipe as clock-free. Evidence: [Test-by-test evidence](test-dispositions-20261015/README.md#clockfree_audit). @@ -681,27 +683,29 @@ Test: `zero_tanh_rail_escape` · Held for qualification; included in full-suite **What it tests.** First converge near the tanh saturation rail at (+0.90, -0.90) where tanh' is attenuated (~0.19), then escape the rail within 400 updates when the target shifts to (0.0, 0.0) at update 1,001 and stay settled there. -**The problem.** Bounded tanh heads attenuate pre-activation gradients near +/-1. Recipes that allow large pre-activation drift during the first 1,000 updates can lock into the rail or overshoot and oscillate around zero after the shift; no ordinary selected-cohort qualification run has been recorded on this newly added Tier 3 gate yet. +**Historical diagnosis (2026-10-15).** Bounded tanh heads attenuate pre-activation gradients near +/-1. Recipes that allow large pre-activation drift during the first 1,000 updates can lock into the rail or overshoot and oscillate around zero after the shift; no ordinary selected-cohort qualification run has been recorded on this newly added Tier 3 gate yet. -**Has any configuration beaten it?** Yes in standalone public-API seed-0 execution (K3P); not yet measured across the full selected-family roster. +**Historical passer evidence.** Yes in standalone public-API seed-0 execution (K3P); not yet measured across the full selected-family roster. - Standalone public-API execution of `k3p` at seed 0 passes all 5 terminal checks (`mean_abs_error = 0.00298 <= 0.005`, `rms_error = 0.00421 <= 0.01`, `p99_abs_error = 0.01416 <= 0.025`, `saturated_fraction = 0.0`). - The 3-level solvability suite (`tests/test_solvability_tanh.py`) verifies 200/200 oracle passes and a constructive network witness. +**Scope correction for retained diagnostic observations.** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [PASS](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-zero_tanh_rail_escape) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-zero_tanh_rail_escape) | -**What remains to solve.** Run the full Tier 3 qualified family roster (`k3p`, `ka2`, `r1r2`, `bcap-pure`, `bcap-dualnorm`, `atlas`, `e22`, `release07-gan-v3`) in ordinary cohorts and promote from held to required once a global recipe passes it together with all counted Tier 1-3 requirements. +**Recommendation from the dated diagnosis.** Run the full Tier 3 qualified family roster (`k3p`, `ka2`, `r1r2`, `bcap-pure`, `bcap-dualnorm`, `atlas`, `e22`, `release07-gan-v3`) in ordinary cohorts and promote from held to required once a global recipe passes it together with all counted Tier 1-3 requirements. Evidence: [Public-API readout](../toy_audit/api_contract/api-zero-tanh-rail-escape/readout.md) · [Task declaration](../../configs/forge/tasks/zero_tanh_rail_escape.json). @@ -714,27 +718,29 @@ Test: `grid100_mlp16` · Held for qualification; included in full-suite results. **What it tests.** Learn all 100 equal-weight Gaussian modes on `grid100` using a 16-hidden-layer 128-wide LeakyReLU(0.2) MLP generator without residual skips or normalization layers. -**The problem.** Increasing generator depth from 3 to 16 hidden layers contracts initial output spread by ~156x and attenuates first-layer and particle-prior gradients by ~73x at step 1. In the standalone seed-0 `k3p` run, the 16-layer generator collapses to 0/100 modes (`output_sigma = 0.029`, `mass_tv = 0.99`). +**Historical diagnosis (2026-10-15).** Increasing generator depth from 3 to 16 hidden layers contracts initial output spread by ~156x and attenuates first-layer and particle-prior gradients by ~73x at step 1. In the standalone seed-0 `k3p` run, the 16-layer generator collapses to 0/100 modes (`output_sigma = 0.029`, `mass_tv = 0.99`). -**Has any configuration beaten it?** No full PASS under the current clean-sampling declaration; constructive capacity witness passes. +**Historical passer evidence.** No full PASS under the current clean-sampling declaration; constructive capacity witness passes. - Constructive 16-layer capacity witness in `tests/test_solvability_deep100g.py` recovers 100/100 modes and passes all coverage and 100k accuracy bounds, proving the 16-layer architecture can represent the target. - Oracle sampler passes 200/200 draws with >= 2x noise-floor headroom. +**Scope correction for retained diagnostic observations.** Import-time shared-generator replacement and residual-generator alias do not establish the originally declared architecture. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_mlp16) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_mlp16) | -**What remains to solve.** Pair layer-wise gradient normalization (such as `bcap-nsgda-layer` or `bcap-dualnorm`) with balanced prior-to-generator step scaling so early updates do not collapse the 16-layer Jacobian before particles separate across the 10x10 grid. +**Recommendation from the dated diagnosis.** Pair layer-wise gradient normalization (such as `bcap-nsgda-layer` or `bcap-dualnorm`) with balanced prior-to-generator step scaling so early updates do not collapse the 16-layer Jacobian before particles separate across the 10x10 grid. Evidence: [Public-API readout](../toy_audit/api_contract/api-grid100-mlp16/readout.md) · [Task declaration](../../configs/forge/tasks/grid100_mlp16.json). @@ -747,28 +753,30 @@ Test: `grid100_res16_tanh` · Held for qualification; included in full-suite res **What it tests.** Recover all 100 Gaussian modes on `grid100` using a 16-layer identity-skip residual MLP generator and a bounded `S=5.25` scaled `tanh` output head without saturating the `|x| > 0.99 * 5.25` rails. -**The problem.** Identity skip connections prevent the 16-layer vanishing-gradient collapse of `grid100_mlp16`, but under unscaled critic updates (`k3p` at seed 0) 96.4% of generated samples are pushed into the `tanh` saturation rails (`saturated_fraction = 0.9639` vs. `<= 0.001` bound, `modes = 0/100`). +**Historical diagnosis (2026-10-15).** Identity skip connections prevent the 16-layer vanishing-gradient collapse of `grid100_mlp16`, but under unscaled critic updates (`k3p` at seed 0) 96.4% of generated samples are pushed into the `tanh` saturation rails (`saturated_fraction = 0.9639` vs. `<= 0.001` bound, `modes = 0/100`). -**Has any configuration beaten it?** No full PASS on the unnormalized backbone; paired `grid100_res16_scaled_tanh` task (`ScaledResidualMLPGenerator` + `TanhRailGuard`, 8/8 selected families PASS at full 7,000-step GPU budget) and constructive residual-tanh witness pass with zero saturation. +**Historical passer evidence.** No full PASS on the unnormalized backbone; paired `grid100_res16_scaled_tanh` task (`ScaledResidualMLPGenerator` + `TanhRailGuard`, 8/8 selected families PASS at full 7,000-step GPU budget) and constructive residual-tanh witness pass with zero saturation. - Paired `grid100_res16_scaled_tanh` (`configs/forge/tasks/grid100_res16_scaled_tanh.json`) with `ScaledResidualMLPGenerator(use_norm=True, preserve_latent_norm=True)` and `TanhRailGuard` passes all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) at full 7,000-step GPU budget (`100/100` modes, `saturated_fraction = 0.0 <= 0.001`), isolating trainer depth transport from unscaled initialization pathology. - Constructive 16-layer residual + `S=5.25` tanh witness in `tests/test_solvability_deep100g.py` passes all 100-mode coverage, 100k accuracy, and `saturated_fraction <= 0.001` bounds (`saturated_fraction = 0.0`). - Oracle sampler passes 200/200 draws. +**Scope correction for retained diagnostic observations.** Import-time shared-generator replacement and residual-generator alias do not establish the originally declared architecture. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-grid100_res16_tanh) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-grid100_res16_tanh) | -**What remains to solve.** Keep `grid100_mlp16` and `grid100_res16_tanh` as unnormalized trainer stress tests alongside the paired `grid100_res16_scaled_tanh` control, and control pre-tanh logit growth on unnormalized backbones via bounded step norms. +**Recommendation from the dated diagnosis.** Keep `grid100_mlp16` and `grid100_res16_tanh` as unnormalized trainer stress tests alongside the paired `grid100_res16_scaled_tanh` control, and control pre-tanh logit growth on unnormalized backbones via bounded step norms. Evidence: [Public-API readout](../toy_audit/api_contract/api-grid100-res16-tanh/readout.md) · [Task declaration](../../configs/forge/tasks/grid100_res16_tanh.json) · [Paired scaled-backbone declaration](../../configs/forge/tasks/grid100_res16_scaled_tanh.json). @@ -781,28 +789,30 @@ Test: `misgan_block_recovery` · Held for qualification; included in full-suite **What it tests.** Train a 2-pair incomplete-data MisGAN (`(G_x, D_x)` + `(G_m, D_m)` with detached mask gradient in `L_x`) observing only masked 8D data `(x * m, m)` under structured block dropout, then impute held-out rows via native Bayesian particle-posterior (`ppost`) resampling from `G_x`. -**The problem.** When 10% of rows observe only sensor `{7}`, unanchored 8D critic updates without partial-mask hints or observed-subspace completion suffer from mode-averaging and off-plane drift (`off_plane = 3.55` vs. `<= 0.04`, `modes = 3/100`). +**Historical diagnosis (2026-10-15).** When 10% of rows observe only sensor `{7}`, unanchored 8D critic updates without partial-mask hints or observed-subspace completion suffer from mode-averaging and off-plane drift (`off_plane = 3.55` vs. `<= 0.04`, `modes = 3/100`). -**Has any configuration beaten it?** Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix via GAIN-style hint conditioning on `D_x` and observed-subspace completion without temperature annealing. +**Historical passer evidence.** Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix via GAIN-style hint conditioning on `D_x` and observed-subspace completion without temperature annealing. - All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on both `misgan_block_recovery` and `misgan_mcar_p50_recovery` with decoupled `prior_x`/`prior_m`, GAIN-style hint conditioning on `D_x` (`hint_dim=8`), static `TemperatureSigmoid(0.66)`, and observed-subspace completion. - Constructive witness and `origin/misgan-toy` detached-mask `G_x` + `ppost` achieve 100/100 modes, `hq >= 0.99`, and `acc_lo = 0.759 >= 0.70` (with 2.88x noise-floor headroom relative to the 0.777 Bayes ceiling). - Oracle `bayes_posterior` + `ppost` passes 200/200 draws in `tests/test_solvability_misgan.py`. +**Scope correction for retained diagnostic observations.** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [PASS](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_recovery) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_recovery) | -**What remains to solve.** Promote `misgan_block_recovery` and `misgan_mcar_p50_recovery` from held to required once an updated global qualification cohort is registered. +**Recommendation from the dated diagnosis.** Promote `misgan_block_recovery` and `misgan_mcar_p50_recovery` from held to required once an updated global qualification cohort is registered. Evidence: [Public-API readout](../toy_audit/api_contract/api-misgan-block-recovery/readout.md) · [Task declaration](../../configs/forge/tasks/misgan_block_recovery.json). @@ -815,28 +825,30 @@ Test: `misgan_block_neural_imputer` · Held for qualification; included in full- **What it tests.** Train a 3-pair MisGAN (`(G_x, D_x)` + `(G_m, D_m)` + `(G_i, D_i)`) and grade the neural imputer `G_i([x * m, m, z_i])` directly on the 16 held-out ambiguous single-sensor queries without `ppost` particle resampling. -**The problem.** Standard neural imputers `G_i([x * m, m, z_i])` satisfy the observed-sensor identity (`observed_max_error = 0.0`) and global missing-coordinate spread (`missing_std_ratio = 0.803` in `[0.7, 1.3]`), but suffer from conditionalGAN `z_i` noise-channel ignore on the 10% single-sensor rows without observed-subspace coupling and `D_x` hint conditioning. +**Historical diagnosis (2026-10-15).** Standard neural imputers `G_i([x * m, m, z_i])` satisfy the observed-sensor identity (`observed_max_error = 0.0`) and global missing-coordinate spread (`missing_std_ratio = 0.803` in `[0.7, 1.3]`), but suffer from conditionalGAN `z_i` noise-channel ignore on the 10% single-sensor rows without observed-subspace coupling and `D_x` hint conditioning. -**Has any configuration beaten it?** Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix without temperature annealing. +**Historical passer evidence.** Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix without temperature annealing. - All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on `misgan_block_neural_imputer` (`observed_max_error = 0.0`, `acc >= 0.95`, `acc_lo >= 0.65`, `missing_std_ratio` in `[0.70, 1.30]`) with decoupled `prior_x`/`prior_m`/`prior_i`, GAIN-style hint conditioning on `D_x`, and static `TemperatureSigmoid(0.66)`. - Trained PyTorch neural network witness `G_i` in `tests/test_solvability_misgan.py` passes 100% of gates, proving the neural imputer architecture has sufficient capacity. - Oracle posterior sampler passes 200/200 draws with >= 2x noise headroom. +**Scope correction for retained diagnostic observations.** Observed-subspace solver overwrites generators/prior tables; neural-imputer observation may use posterior resampling instead of G_i. EMA sampling and complete-state restoration also differ from the declared live contract. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [PASS](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [PASS](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-misgan_block_neural_imputer) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-misgan_block_neural_imputer) | -**What remains to solve.** Promote `misgan_block_neural_imputer` from held to required once an updated global qualification cohort is registered. +**Recommendation from the dated diagnosis.** Promote `misgan_block_neural_imputer` from held to required once an updated global qualification cohort is registered. Evidence: [Public-API readout](../toy_audit/api_contract/api-misgan-block-neural-imputer/readout.md) · [Task declaration](../../configs/forge/tasks/misgan_block_neural_imputer.json). @@ -849,28 +861,30 @@ Test: `ring16_bigan_continuous` · Held for qualification; included in full-suit **What it tests.** Train a continuous 2D multimodal joint BiGAN `(G(z), E(x), D(x, z))` on the 16-Gaussian ring (`MoGParticlePrior(sigma=0.1)`), simultaneously satisfying forward 16-mode generation and paired round-trip reconstruction `x -> G(E(x))`. -**The problem.** In the standalone seed-0 `bcap` public-API run without cycle-consistency or kernel-augmented critics, the joint game discovers all 16/16 modes (`modes = 16`) and achieves high round-trip mode consistency (`mode_consistency = 0.9951 >= 0.98`), but within-mode variance remains too broad (`hq = 0.238` vs. `>= 0.85`, `recon_rmse = 0.220` vs. `<= 0.12`). +**Historical diagnosis (2026-10-15).** In the standalone seed-0 `bcap` public-API run without cycle-consistency or kernel-augmented critics, the joint game discovers all 16/16 modes (`modes = 16`) and achieves high round-trip mode consistency (`mode_consistency = 0.9951 >= 0.98`), but within-mode variance remains too broad (`hq = 0.238` vs. `>= 0.85`, `recon_rmse = 0.220` vs. `<= 0.12`). -**Has any configuration beaten it?** Yes: `k3p` (adopted as the default continuous BiGAN recipe) and `ka2` paired with ALICE cycle-consistency (`lambda_cycle = 2.0`) and coordinate Fourier features (`K=3`) pass all 5 sustained terminal checks. +**Historical passer evidence.** Yes: `k3p` (adopted as the default continuous BiGAN recipe) and `ka2` paired with ALICE cycle-consistency (`lambda_cycle = 2.0`) and coordinate Fourier features (`K=3`) pass all 5 sustained terminal checks. - `k3p` (default recipe on `api-ring16-bigan-continuous` and `api-alice-spiral-bigan`) and `ka2` pass all 5 sustained terminal checks (`modes = 16`, `hq >= 0.85`, `mass_tv <= 0.15`, `recon_rmse <= 0.12`, `mode_consistency >= 0.98`) in the formulaic coverage matrix. - Trained PyTorch `(G, E)` witness in `tests/test_solvability_bigan.py` passes all forward generation and round-trip reconstruction gates. - Oracle joint sampler passes 200/200 draws with >= 2x noise headroom. +**Scope correction for retained diagnostic observations.** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [BLOCKED](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-ring16_bigan_continuous) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-ring16_bigan_continuous) | -**What remains to solve.** Extend kernel-augmented joint `(x, z)` curvature regularization and cycle-consistency conditioning to the remaining non-kernel trainer families so all selected families contract within-mode variance without losing 16-mode coverage. +**Recommendation from the dated diagnosis.** Extend kernel-augmented joint `(x, z)` curvature regularization and cycle-consistency conditioning to the remaining non-kernel trainer families so all selected families contract within-mode variance without losing 16-mode coverage. Evidence: [Public-API readout](../toy_audit/api_contract/api-ring16-bigan-continuous/readout.md) · [Task declaration](../../configs/forge/tasks/ring16_bigan_continuous.json). @@ -883,9 +897,9 @@ Test: `two_pole` · Required for qualification and included in full-suite result **What it tests.** Drive a generator-free direct particle cloud from zero to two symmetric poles (`mean_abs >= 0.30`) and hold them steady with bounded critic gradient (`grad_med <= 1.0`) across the final five checks. -**The problem.** In selected `atlas-particle-normal-v4` (`particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256`), direct particle coordinates without a separate generator remain pinned near the origin (`mean_abs = 0.00242` vs. `>= 0.30`, `grad_med = 0.00371`). Critic-space kNN birth-death (`birth_death_cells = 64` capped on the direct particle batch) recycles particles around the origin before symmetric pole separation develops. +**Historical diagnosis (2026-10-15).** In selected `atlas-particle-normal-v4` (`particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256`), direct particle coordinates without a separate generator remain pinned near the origin (`mean_abs = 0.00242` vs. `>= 0.30`, `grad_med = 0.00371`). Critic-space kNN birth-death (`birth_death_cells = 64` capped on the direct particle batch) recycles particles around the origin before symmetric pole separation develops. -**Has any configuration beaten it?** Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. +**Historical passer evidence.** Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. - Selected `recipe-prior-refactor-bcap-pure-v1`, `bispf-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the ordinary Tier 1 gate. - E22 remains blocked on direct particle-cloud host compatibility. @@ -897,13 +911,13 @@ Test: `two_pole` · Required for qualification and included in full-suite result | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-two_pole) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-two_pole) | -**What remains to solve.** Gate critic-space particle birth-death when no separate generator module is present (direct particle-transport hosts) or prevent real-anchor cloning from collapsing bipolar symmetry near zero, while preserving `atlas-particle-normal-v4`'s 24-pass full-suite gains. +**Recommendation from the dated diagnosis.** Gate critic-space particle birth-death when no separate generator module is present (direct particle-transport hosts) or prevent real-anchor cloning from collapsing bipolar symmetry near zero, while preserving `atlas-particle-normal-v4`'s 24-pass full-suite gains. Evidence: [Test dispositions and policy-cloud notes](test-dispositions-20261015/README.md) · [Task declaration](../../configs/forge/tasks/two_pole.json). @@ -916,13 +930,15 @@ Test: `five_word_joint_smoke` · Required for qualification and included in full **What it tests.** Train a joint generator-encoder-prior-critic BiGAN over five five-letter words for 20,001 updates, acquiring all five clean word modes (`modes == 5`, `quality_fraction >= 0.95`, `mass_tv <= 0.10`) and exact high-confidence paired reconstructions (`reconstruction_exact == 1`, `minimum_reconstruction_token_probability >= 0.90`) at an independently confirmed scheduled state. -**The problem.** While selected `atlas-particle-normal-v4` passes `ae_gan_hold` and `unused_token_hold`, on the 20,001-step five-word joint BiGAN game its `particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256` recipe fails to acquire discrete word modes (`modes = 0/5`, `quality_fraction = 0.0`, `reconstruction_exact = 0`, `reconstruction_nll = 22.46`). +**Historical diagnosis (2026-10-15).** While selected `atlas-particle-normal-v4` passes `ae_gan_hold` and `unused_token_hold`, on the 20,001-step five-word joint BiGAN game its `particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256` recipe fails to acquire discrete word modes (`modes = 0/5`, `quality_fraction = 0.0`, `reconstruction_exact = 0`, `reconstruction_nll = 22.46`). -**Has any configuration beaten it?** Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. +**Historical passer evidence.** Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass. - Selected `bispf-v1`, `recipe-prior-refactor-bcap-pure-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the Tier 1 smoke gate. - Passing `five_word_joint_smoke` certifies one confirmed acquisition state; `five_word_joint_hold` separately grades sustained post-acquisition stability. +**Scope correction for retained diagnostic observations.** Formulaic runner changes selected recipe noise settings or E22 mechanisms without a distinct adapted-candidate identity and complete resolved-recipe/sampling witness. Original outcomes remain archived; they do not establish the declared unassisted recipe/task claim. [Exact observation identities](evidence-corrections-2026-11-08.json). + **Selected recipes' recorded results:** | Selected recipe | Result | @@ -930,13 +946,13 @@ Test: `five_word_joint_smoke` · Required for qualification and included in full | [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [PASS](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-five_word_joint_smoke) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [BLOCKED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [PASS](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-five_word_joint_smoke) | -**What remains to solve.** Diagnose how critic-space birth-death and `sigma=0.0065` latent perturbation interact with the joint `(x, z)` BiGAN encoder-generator coupling over 20k discrete-token updates without regressing continuous multimodal coverage. +**Recommendation from the dated diagnosis.** Diagnose how critic-space birth-death and `sigma=0.0065` latent perturbation interact with the joint `(x, z)` BiGAN encoder-generator coupling over 20k discrete-token updates without regressing continuous multimodal coverage. Evidence: [Five-word tier split readout](five-word-tier-split/README.md) · [Task declaration](../../configs/forge/tasks/five_word_joint_smoke.json). @@ -949,9 +965,9 @@ Test: `model_ae_gan_multimodal` · Required for qualification and included in fu **What it tests.** Train a public-API multimodal AE-GAN to reconstruct four equally weighted corner Gaussians (`reconstruction_mse <= 0.025`, `reconstruction_mode_agreement >= 0.98`) while independently generating all four modes with balanced masses (`mass_tv <= 0.15`) and well-conditioned within-mode covariances (`0.10 <= eigen_ratio <= 4.0`) across the final five checks. -**The problem.** Selected `atlas-particle-normal-v4` satisfies seven of eight terminal bounds (`modes = 4`, `precision = 0.9980 >= 0.90`, `reconstruction_mse = 0.00438 <= 0.025`, `reconstruction_mode_agreement = 1.0`, `component_min_eigen_ratio = 0.140 >= 0.10`, `component_max_eigen_ratio = 1.169 <= 4.0`, `component_center_rms_sigma = 0.571 <= 1.0`), but misses the independent mode-mass balance gate (`mass_tv = 0.1948` vs. `<= 0.15`). Other selected families remain unmeasured in ordinary CUDA cohorts on this Rev 10+ Tier 1 task. +**Historical diagnosis (2026-10-15).** Selected `atlas-particle-normal-v4` satisfies seven of eight terminal bounds (`modes = 4`, `precision = 0.9980 >= 0.90`, `reconstruction_mse = 0.00438 <= 0.025`, `reconstruction_mode_agreement = 1.0`, `component_min_eigen_ratio = 0.140 >= 0.10`, `component_max_eigen_ratio = 1.169 <= 4.0`, `component_center_rms_sigma = 0.571 <= 1.0`), but misses the independent mode-mass balance gate (`mass_tv = 0.1948` vs. `<= 0.15`). Other selected families remain unmeasured in ordinary CUDA cohorts on this Rev 10+ Tier 1 task. -**Has any configuration beaten it?** Yes in standalone bounded API research (`bispf-optimized-quintic-v1` CPU cohort); no ordinary selected CUDA PASS yet. +**Historical passer evidence.** Yes in standalone bounded API research (`bispf-optimized-quintic-v1` CPU cohort); no ordinary selected CUDA PASS yet. - Standalone bounded API research (`bispf-optimized-quintic-v1` on CPU) passes all eight sustained gates (`reconstruction_mse = 0.00927`, `precision = 0.9968`, `mass_tv = 0.1177 <= 0.15`). - That CPU research cohort is separate from the ordinary CUDA selected-family rows and does not fill `bispf-v1`'s unmeasured cell. @@ -960,16 +976,16 @@ Test: `model_ae_gan_multimodal` · Required for qualification and included in fu | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_gan_multimodal) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [PASS](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [PASS](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_gan_multimodal) | -**What remains to solve.** Reduce prior mass imbalance under joint AE-GAN encoding (for example, balancing birth-death cell quotas against encoder-posterior assignments) and record ordinary CUDA measurements for the remaining selected families. +**Recommendation from the dated diagnosis.** Reduce prior mass imbalance under joint AE-GAN encoding (for example, balancing birth-death cell quotas against encoder-posterior assignments) and record ordinary CUDA measurements for the remaining selected families. Evidence: [AE-GAN public-API model report](api-model-toys/ae.md) · [Task declaration](../../configs/forge/tasks/model_ae_gan_multimodal.json). @@ -982,9 +998,9 @@ Test: `model_ddgan_gaussian_chain` · Required for qualification and included in **What it tests.** Train a four-step public-API DDGAN on a 2D Gaussian forward diffusion chain so every reverse conditional transition (`t1..t4`, `q0`/`q1`) and the final ancestral marginal satisfy `projection_cdf <= 0.12`, `normalized_mean <= 0.25`, and covariance eigenvalues in `[0.65, 1.40]` across the last five checks. -**The problem.** Both selected `atlas-particle-normal-v4` (ordinary CUDA) and the bounded `bispf-optimized-quintic-v1` API research run (CPU) match the outer reverse steps (`t3`, `t4`), but miss the sharp final denoising transitions (`t1`, `t2`) and ancestral marginal (`atlas-particle-normal-v4`: `final_projection_cdf = 0.1695 > 0.12`, `final_normalized_mean = 0.3367 > 0.25`, `t1_q0_projection_cdf = 0.2747 > 0.12`, `t1_q0_covariance_eigen_min = 0.2710 < 0.65`). +**Historical diagnosis (2026-10-15).** Both selected `atlas-particle-normal-v4` (ordinary CUDA) and the bounded `bispf-optimized-quintic-v1` API research run (CPU) match the outer reverse steps (`t3`, `t4`), but miss the sharp final denoising transitions (`t1`, `t2`) and ancestral marginal (`atlas-particle-normal-v4`: `final_projection_cdf = 0.1695 > 0.12`, `final_normalized_mean = 0.3367 > 0.25`, `t1_q0_projection_cdf = 0.2747 > 0.12`, `t1_q0_covariance_eigen_min = 0.2710 < 0.65`). -**Has any configuration beaten it?** No PASS under the current declaration in either ordinary selected cohorts or bounded API research. +**Historical passer evidence.** No PASS under the current declaration in either ordinary selected cohorts or bounded API research. - Oracle transition samplers pass all 38 threshold checks in the bounded protocol, confirming scorer calibration. - Saved-state diagnostics isolate the failure to conditional reverse-step variance and mean drift at `t=1, 2` rather than numerical instability. @@ -993,16 +1009,16 @@ Test: `model_ddgan_gaussian_chain` · Required for qualification and included in | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ddgan_gaussian_chain) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ddgan_gaussian_chain) | -**What remains to solve.** Improve per-timestep conditional critic discrimination and reverse-generator stochasticity at small `t` under one unchanged global recipe without per-task hyperparameter tuning. +**Recommendation from the dated diagnosis.** Improve per-timestep conditional critic discrimination and reverse-generator stochasticity at small `t` under one unchanged global recipe without per-task hyperparameter tuning. Evidence: [DDGAN public-API model report](api-model-toys/ddgan.md) · [DDGAN saved-state failure investigation](ddgan-failure-investigation/README.md) · [Task declaration](../../configs/forge/tasks/model_ddgan_gaussian_chain.json). @@ -1015,9 +1031,9 @@ Test: `model_ae_ddgan_gaussian_chain` · Required for qualification and included **What it tests.** Reconstruct held-out inputs through a learned particle autoencoder and four public DDGAN reverse steps (`paired_nmse <= 0.10`, `paired_worst_axis_nrmse <= 0.25`, `paired_shuffled_gain >= 3.0`) while simultaneously passing all conditional reverse-transition and independent ancestral-chain bounds. -**The problem.** Selected `atlas-particle-normal-v4` passes every paired four-step reconstruction gate (`paired_nmse = 0.0147 <= 0.10`, `paired_worst_axis_nrmse = 0.1333 <= 0.25`, `paired_shuffled_gain = 134.67 >= 3.0`) and `final_projection_cdf = 0.1199 <= 0.12`, matching the bounded `bispf-optimized-quintic-v1` research pattern where paired encoding succeeds (`paired_nmse = 0.0441`) while independent ancestral covariance (`final_covariance_eigen_min = 0.4226 < 0.65`) and `t1`/`t2` reverse-transition bounds fail (`t1_q0_projection_cdf = 0.5950 > 0.12`). +**Historical diagnosis (2026-10-15).** Selected `atlas-particle-normal-v4` passes every paired four-step reconstruction gate (`paired_nmse = 0.0147 <= 0.10`, `paired_worst_axis_nrmse = 0.1333 <= 0.25`, `paired_shuffled_gain = 134.67 >= 3.0`) and `final_projection_cdf = 0.1199 <= 0.12`, matching the bounded `bispf-optimized-quintic-v1` research pattern where paired encoding succeeds (`paired_nmse = 0.0441`) while independent ancestral covariance (`final_covariance_eigen_min = 0.4226 < 0.65`) and `t1`/`t2` reverse-transition bounds fail (`t1_q0_projection_cdf = 0.5950 > 0.12`). -**Has any configuration beaten it?** No complete PASS under the current declaration; paired four-step reconstruction passes while independent/conditional reverse generation fails. +**Historical passer evidence.** No complete PASS under the current declaration; paired four-step reconstruction passes while independent/conditional reverse generation fails. - Both `atlas-particle-normal-v4` (ordinary CUDA) and `bispf-optimized-quintic-v1` (bounded CPU research) pass all four paired four-step reconstruction gates with >45x-134x shuffled-input error gain. - Oracle reverse-chain controls pass all 42 gates. @@ -1026,16 +1042,16 @@ Test: `model_ae_ddgan_gaussian_chain` · Required for qualification and included | Selected recipe | Result | | --- | --- | -| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [BCAP](families/bcap-pure.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [BISPF](families/bispf.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/bispf.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | | [Atlas](families/atlas.md#cohort-cuda-bc3debd3fa5e) | [FAIL](families/atlas.md#cohort-cuda-bc3debd3fa5e-experiment-model_ae_ddgan_gaussian_chain) | -| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [FAIL](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [E22](families/e22.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/e22.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [GAN v3 release 0.7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [K3P](families/k3p.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/k3p.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | +| [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-model_ae_ddgan_gaussian_chain) | -**What remains to solve.** Align the ancestral prior and reverse chain with the encoder latent manifold at `t=1, 2` so independent ancestral sampling retains full variance (`>= 0.65`) without degrading paired reconstruction. +**Recommendation from the dated diagnosis.** Align the ancestral prior and reverse chain with the encoder latent manifold at `t=1, 2` so independent ancestral sampling retains full variance (`>= 0.65`) without degrading paired reconstruction. Evidence: [AE-DDGAN public-API model report](api-model-toys/ae-ddgan.md) · [Task declaration](../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json). @@ -1048,9 +1064,9 @@ Test: `precision_gaussian_mxfp8` · Held for qualification; included in full-sui **What it tests.** Train from the shared deterministic initialization using Blackwell-format MXFP8 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. -**The problem.** No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified. +**Historical diagnosis (2026-10-15).** No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified. -**Has any configuration beaten it?** Not measured. Short software checks do not establish a quality PASS. +**Historical passer evidence.** Not measured. Short software checks do not establish a quality PASS. - No compatible full-budget passing configuration is recorded. @@ -1067,7 +1083,7 @@ Test: `precision_gaussian_mxfp8` · Held for qualification; included in full-sui | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_mxfp8) | -**What remains to solve.** Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step. +**Recommendation from the dated diagnosis.** Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step. Evidence: [Protocol, precision semantics and limitations](precision-stretch/README.md#precision-stretch). @@ -1080,9 +1096,9 @@ Test: `precision_gaussian_nvfp4` · Held for qualification; included in full-sui **What it tests.** Train from the shared deterministic initialization using Blackwell-format NVFP4 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks. -**The problem.** No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified. +**Historical diagnosis (2026-10-15).** No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified. -**Has any configuration beaten it?** Not measured. Short software checks do not establish a quality PASS. +**Historical passer evidence.** Not measured. Short software checks do not establish a quality PASS. - No compatible full-budget passing configuration is recorded. @@ -1099,6 +1115,6 @@ Test: `precision_gaussian_nvfp4` · Held for qualification; included in full-sui | [KA2](families/ka2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/ka2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | | [R1/R2](families/r1r2.md#cohort-cuda-1bf9d7d34422) | [NOT MEASURED](families/r1r2.md#cohort-cuda-1bf9d7d34422-experiment-precision_gaussian_nvfp4) | -**What remains to solve.** Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step. +**Recommendation from the dated diagnosis.** Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step. Evidence: [Protocol, precision semantics and limitations](precision-stretch/README.md#precision-stretch). diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/README.md b/reports/forge/r1r2-failure-diagnosis-20261022/README.md new file mode 100644 index 000000000..a21f75970 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/README.md @@ -0,0 +1,160 @@ +# R1/R2 failure investigation + +R1/R2's measured blocker is within-mode density quality. Finding all 16 ring +modes does not satisfy its covariance, sample-quality and sustained-spread +gates. An independent public-trainer oracle finds no error in the inspected +loss signs, half-gamma penalty, detach paths, native Adam updates or schedules. +There is no demonstrated recipe that repairs the unchanged full ordinary task +suite. This investigation preserves that result. + +The subsequent [bounded repair comparison](../r1r2-repair-20261022/README.md) +trains the stronger reference, R1-only and explicit joint reconstruction +controls. Its new source cohorts and results are separate from this audit. + +The [current family leaderboard](../technique-inventory.md) remains the only +generated ranking. Its selected R1/R2 row records five passed tasks, two failed +tasks and 42 not measured under its published projection. Recorded source +measurements, newer task contracts and separate diagnostic attempts retain +their own identities. This report adds no qualification or replacement recipe. + +The work uses three independent reviews: + +- [Protocol and prior repairs](protocol-audit.md): exact task/recipe ownership, + duration controls, acquisition versus retention, and negative search history. +- [Implementation and update oracle](implementation-audit.md): the public + trainer agrees with literal equations and native Adam within absolute + `2e-12` over seven small CPU software updates; 110 focused tests pass. +- [Saved endpoint forces](saved-force-diagnosis.json): archived checkpoints, + critic gradients and parameter-space projections; no optimizer is advanced. + +## What the existing experiments establish + +These are diagnostic evidence comparisons, not a new ranking. Values keep +their original source, recipe and sampling contracts. + +| Recorded Ring16 cohort | Covariance error <= .85 | Minimum eigen ratio >= .15 | HQ >= .85 | Original result | +| --- | ---: | ---: | ---: | --- | +| Selected scheduled recipe; 1,600 updates | 2.066388 | .223238 | .844238 | FAIL; 0/96 full passes | +| Stronger unselected constant NS/AMSGrad control | 1.556546 | .094075 | .888672 | FAIL; covariance and spread | +| Energy-U with learned prior | 6.371506 | 1.027582 | .747559 | FAIL; covariance and HQ | +| Energy-U with frozen prior | 6.259248 | .748672 | .552246 | FAIL; covariance and HQ | +| Selected family, separate stretched-schedule 6,400-update diagnostic | .423491 | .157181 | .977539 | PASS; exactly 5 terminal checks | + +Sources: [selected-recipe publication](../recipe-prior-refactor/publication/results.json), +[concluded repairs](../r1r2-concluded-archive/README.md), and +[schedule diagnostic](../ring16-schedule-20261011/results.json). +The last row changes the schedule and execution budget; it cannot fill the +1,600-update task. Its earlier 1,600/3,200/4,800 cuts all fail. Its final spread +margin is only .007181, so it is a scoped, fragile result. + +The task deliberately binds 1,600 permitted updates to the original schedule +horizon of 400. Beta2 and penalty strength settle after 80 updates, and LR +reaches its floor after 400. This explains why the remaining 1,200 updates +use the floor; it is a declared protocol choice. The longer matched schedule +contrast supports schedule exhaustion as a contributor at a longer budget, +without isolating LR from beta2 and gamma or solving the short task. + +Density failure also remains after removing schedules. All 34 completed repair +revisions in the concluded archive fail Ring16. Momentum, AMSGrad, rate roles, +spectral updates, weaker penalties, non-saturating loss, transport, energy and +prior freezing already have negative evidence. Energy restores spread while +worsening covariance and HQ; freezing prior locations does not remove that +failure. A single spread statistic cannot stand in for distribution fidelity. + +Retention is a separate problem. The selected word recipe first acquires a +confirmed solution at update 2,501, then loses it. Its own 4,000-update hold +ends with one quality word and inverse NLL 11.006416. Acquisition remains PASS; +the separate hold remains FAIL. + +## What the saved-state analysis adds + +The strongest non-saturating control has substantial critic input gradients +(median norm .1645) and a non-saturating loss multiplier near .5. Simple +adversarial gradient starvation does not explain this endpoint. Its radial +variance is already too narrow while tangential variance is too wide. Through +the saved generator Jacobian and frozen AMSGrad denominator, the current +adversarial direction contracts radial variance further. This sign survives +the two declared Gaussian-quadrature resolutions (drifts -.02956 and -.02856). +The original covariance-error directional derivative worsens at both +resolutions (+.00139 and +.00267). + +These are local directional derivatives with fixed component assignments, +frozen critic weights and frozen optimizer geometry. They do not simulate a +future update, account for critic refitting, or establish a passing trajectory. +The squared covariance-error proxy is kept separate from the original +relative-Frobenius covariance metric. The selected scheduled cohort's small +aggregate covariance-direction estimate is sensitive to quadrature resolution; +do not extrapolate that sign. + +The [MMD projection check](mmd-projection-diagnosis.json) addresses a missing +prerequisite of the deferred proposal. On one explicitly separate, deterministic +2,048-point panel of the saved control, the archived fixed-bandwidth MMD force +improves the output-space covariance-error derivative (-.46987). After +projection through the generator/prior and frozen AMSGrad denominator, the +derivative instead worsens (+.16685). Adding it to the adversarial force changes +the same-panel projected derivative from -.00658 to +.16027. The sigma-point +panel is an integration approximation; even its adversarial-only covariance +sign differs from the finer quadrature. This is evidence against treating the +earlier output-only force result as sufficient motivation for training, not +a trained rejection of MMD. A second 4,096-point corner panel also reverses +the MMD covariance direction: -.27584 before projection, +.17606 after it. + +The [word-state diagnostic](word-saturation-diagnosis.json) enumerates the five +saved prior atoms and five declared words at the acquired and failed states. +At update 6,501, generator logits span roughly -375 to 405 and 458 of 840 +float32 probabilities underflow to zero. Four of five atoms attenuate the +adversarial probability-to-logit gradient by a norm ratio below `1e-6`, versus +one at acquisition. That four-atom attenuation also occurs in float64, so +float32 underflow alone does not explain it. The generator-mediated prior +gradient norm is .000431 versus .01975 from the direct joint-latent path. +The generator's total parameter-gradient norm remains nonzero and exceeds its +acquisition value; this is a categorical output bottleneck, not evidence that +every network gradient vanished or proof of what first caused the collapse. + +The frozen word fixture optimizes joint adversarial G/E loss with zero prior +regularization. Inverse reconstruction is measured by its grader, without an +explicit reconstruction training term. A logit-space reconstruction objective +would be a new declared recipe intervention; changing the grader's clamp +cannot supply that missing training force. This identifies a focused retention +hypothesis without solving Ring16 or selecting a new global recipe. + +## Recommendation and limits + +Retain the measured control and negative findings. The 6,400-update schedule +is an existing scoped repair for a different protocol; it is not a replacement +for the original Ring16 requirement. Do not repeat the concluded optimizer, +energy or frozen-prior revisions, combine per-task successes, or interpret +unmeasured cells as scientific failures. + +The deferred output-MMD proposal has no trained results. Its saved output-force +motivation does not survive this finite-panel generator/optimizer check. Keep +it deferred. A new repair needs a supported mechanism, one global recipe, a +fresh matched control and its own finite campaign budget. This investigation +opens no paid campaign and changes no production update law. + +The original [actual-training GIFs](../r1r2-concluded-archive/README.md) and +[schedule GIF](../ring16-schedule-20261011/r1r2.gif) retain their numerical +results and source identities. No new scientific toy is trained here. The +seven-update oracle is software verification and grants no quality credit. + +## Reproduce + +Run from the repository root. Saved-state analysis requires the original +local archives; missing originals are an explicit blocker, not a reason to +retrain. The full per-mode output and logs belong outside Git. + +```sh +python -m pytest tests/test_r1r2_update_oracle.py tests/test_fixed_critic_penalties.py tests/test_recipe_schedules.py tests/test_forge_taskrecipes.py tests/test_adversarial_losses.py -q +python reports/forge/r1r2-failure-diagnosis-20261022/saved_force_probe.py \ + > /mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/reproduction.json \ + 2> /mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/reproduction.log +tail -F /mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/*.log +``` + +For the MMD panel check, run `mmd_projection_probe.py` in the same directory; +`--panel corners` selects the second declared integration panel. For word +attenuation, run `word_saturation_probe.py`. Redirect their stdout to that +local artifact directory as above. `summarize_probes.py` verifies the retained +raw core/MMD receipts and appends their resolution comparisons to the two +compact diagnosis JSONs. The commands and exact input hashes in those JSONs +retain their own source and integration identities. diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.json b/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.json new file mode 100644 index 000000000..e5127ec19 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.json @@ -0,0 +1,43 @@ +{ + "schema_version": 1, + "scope": "software_implementation_audit_not_scientific_qualification", + "source_commit": "a771841dd17bd8780c03f8ebb6e34b8dfe19bc94", + "conclusion": "No production correctness defect demonstrated in the inspected modern scalar R1/R2 update.", + "production_behavior_changed": false, + "source_files_sha256": { + "particlegan/grad_regularizers.py": "a540d05a4a992540b6a5f3b5ff7ccc11ebaf18592135b87c95638adbe68aa747", + "particlegan/gan_loss.py": "f73cc593aef5d7507dc1a468ee261cc186c8dbfbee3a0aad769b6e252c2c143f", + "particlegan/recipe_schedules.py": "b675bdc9f72224b11e9887f8ed66b1a541ffc76d80242709969cc67ac47ca46a", + "particlegan/training.py": "3711700bcb1700d9446fb6ced07d8d98188860ff219828ec91f49e3bb10b8344", + "particlegan/recipes.py": "6c818b90544a67f833f5effea36868524041ff8009960b2a9a17188df133977a", + "particlegan/policy.py": "4eb130cb5982c8333eec1abac6829c76b8aeea8f4ce87bc90b06b805c7dede0c", + "experiments/forge/taskrecipes.py": "b38ca3e6f910fce01a21842191a256c213fa07b759b642fb32be094f8ec5f1ae", + "tests/test_r1r2_update_oracle.py": "5eab80b3f0098738f0c45be04930ce39914406252973177aaa128bcb3cb44d0d" + }, + "upstream_reference_commit": "19a7ddf463fbac2bd39b4c1c73d63f1c441c7403", + "upstream_reference_files": [ + "https://github.com/brownvc/R3GAN/blob/19a7ddf463fbac2bd39b4c1c73d63f1c441c7403/R3GAN/Trainer.py", + "https://github.com/brownvc/R3GAN/blob/19a7ddf463fbac2bd39b4c1c73d63f1c441c7403/training/training_loop.py" + ], + "verification": { + "command": "python -m pytest tests/test_r1r2_update_oracle.py tests/test_fixed_critic_penalties.py tests/test_recipe_schedules.py tests/test_forge_taskrecipes.py tests/test_adversarial_losses.py -q", + "result": "110 passed", + "python": "3.14.8", + "torch": "2.14.0+cu130", + "oracle_device": "cpu", + "oracle_dtype": "float64", + "protocol_seed": 0, + "initialization": "public deterministic_orthogonal_; G role seed 0, D role seed 1, R2 MoG seed 0", + "one_update_comparisons": 7, + "numerical_absolute_error_bound": 2e-12, + "numerical_relative_error_bound": 0, + "matched_values": ["losses", "penalty", "G/D/prior parameters", "G/D/prior gradients", "all native Adam state tensors", "LR/beta2/gamma schedules", "consumed MoG RNG states"], + "critic_change_during_generator_phase": "exactly zero" + }, + "limitations": [ + "Software fixture only: no scientific gate, quality experiment, leaderboard refresh or default adoption.", + "No new scientific training, evaluation samples or GIFs; seven tiny public trainer updates are unit-test software work.", + "CPU float64 oracle does not establish long-horizon CUDA quality or reproduce the upstream image model/prior/EMA protocol.", + "Penalty forwards are separate from adversarial forwards, so noisy or stateful critics need their own declared cohort." + ] +} diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.md b/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.md new file mode 100644 index 000000000..d2c0ff8e0 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/implementation-audit.md @@ -0,0 +1,53 @@ +# R1/R2 implementation audit + +The inspected public R1/R2 update matches the declared paired logistic loss, +squared input-gradient penalty and native Adam law. No supported production +correctness fix was found. This audit supplies software evidence, not a quality +qualification or a new comparison of recipes. + +Inspected source is commit `a771841dd17bd8780c03f8ebb6e34b8dfe19bc94`. +[Exact source hashes and checks](implementation-audit.json) bind the audit to +the inspected files, including the newly added test. + +The critic minimizes `mean(softplus(D(fake)-D(real)))` plus +`gamma/2 * (mean(||grad D(real)||²) + mean(||grad D(fake)||²))`. +The penalty detaches its input copies, sums input coordinates and averages +examples. There is no RMS divisor or cap. For the generator/prior phase, the +trainer resamples differentiable fakes, freezes critic parameters and evaluates +both scores after the critic update. Native Adam's observer counts updates; +it does not apply the historical K3P anchor, guard or damping. Schedule state +uses completed updates and the explicit recipe horizon; an execution cap does +not silently redefine that horizon. + +The pinned [R3GAN loss implementation](https://github.com/brownvc/R3GAN/blob/19a7ddf463fbac2bd39b4c1c73d63f1c441c7403/R3GAN/Trainer.py) +supports these signs, detach paths and half-gamma factors. Its +[training loop](https://github.com/brownvc/R3GAN/blob/19a7ddf463fbac2bd39b4c1c73d63f1c441c7403/training/training_loop.py) +also mutates native Adam's beta2, so the current native bias-correction behavior +is shared with that reference. A different variable-beta correction would be +a separately declared trainer change, rather than a reference-parity fix. + +The new [independent update oracle](../../../tests/test_r1r2_update_oracle.py) +writes out the scalar equations and uses native Adam directly, without the +repository's loss, penalty or schedule helpers. Seven consecutive one-update +comparisons span the beta2/gamma midpoint, endpoint and hold, and the start of +LR annealing. Seed 0 and public deterministic initialization bind the G, D and +learned MoG fixture. Separate real batches exercise the generator pairing; +matching checkpointable MoG streams exercise fresh fakes. Losses, penalties, +parameters, gradients and every native Adam state tensor agree within absolute +`2e-12` in CPU float64. Critic tensors remain exactly unchanged during the +generator/prior phase. Existing kernel parity, schedule, task-binding and loss +tests also pass: **110 passed** on Python 3.14.8 / Torch 2.14.0+cu130. + +One deliberate reference difference remains: the shared penalty evaluates the +critic on detached copies instead of reusing its adversarial logits. This can +change running buffers or stochastic draws for BatchNorm, dropout or input-noisy +critics. The modern scalar toy cohort has no such layers or additive noise; +this difference does not explain its current failures. DCGAN performance +receipts separately declare batch-coupled BatchNorm derivatives and grant no +image-quality credit. + +These tiny CPU software checks do not reproduce the paper's architecture, +fixed Gaussian prior, image budget or EMA serving, and do not test long-horizon +CUDA quality. Preserve the original failed scientific receipts and their gates; +this audit supports investigating measured optimizer/critic/prior dynamics +instead of changing signs, units or loss factors without evidence. diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/mmd-projection-diagnosis.json b/reports/forge/r1r2-failure-diagnosis-20261022/mmd-projection-diagnosis.json new file mode 100644 index 000000000..aeda3331a --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/mmd-projection-diagnosis.json @@ -0,0 +1,482 @@ +{ + "ambient_rng_unchanged": true, + "analytic_force_max_abs_error": 1.3877787807814457e-17, + "auxiliary_coefficient": 1, + "checkpoint_sha256": "ac391adc90c90cc3dd445b4201765163a20c1187b39c90ba954d450afc8be328", + "core_probe_sha256": "34fb328507a4178f76bc10a77b1b0ea18f31c7143a0bf4ad8e471d07630a1f9c", + "diagnostic_wall_seconds": 2.03163234598469, + "directions": { + "adversarial": { + "G": { + "covariance_improving_modes": 8, + "mean_over_modes": { + 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1.5296092247789643, + "original_covariance_error_drift": -0.0013132781251297583, + "radial_variance_drift": -2.1147633936862158e-05, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": -0.0021208166132491743, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 11, + "tangent_expanding_modes": 5 + }, + "prior_velocity": { + "max": 0.003580777882466278, + "median": 5.498934081804388e-05, + "min": -0.006601610063328621, + "rms": 0.0007754825868159086 + }, + "unprojected": { + "covariance_improving_modes": 16, + "mean_over_modes": { + "center_squared_error_drift": -0.7870132733947631, + "covariance_squared_error_drift": -14.788273961169978, + "original_covariance_error": 1.5296092247789643, + "original_covariance_error_drift": -2.371172523692586, + "radial_variance_drift": 0.1604357179223749, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": -3.553825239886441, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 14, + "tangent_expanding_modes": 0 + } + }, + "mmd": { + "G": { + "covariance_improving_modes": 3, + "mean_over_modes": { + "center_squared_error_drift": -2.7985534133206893, + "covariance_squared_error_drift": 1.049318893925673, + "original_covariance_error": 1.5296092247789643, + "original_covariance_error_drift": 0.16629721938745975, + "radial_variance_drift": 0.06989848376229532, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": 0.28225964096645856, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 16, + "tangent_expanding_modes": 15 + }, + "G_velocity": { + "max": 0.35707052146256585, + "median": 0.03215357089157343, + "min": -0.2626750094476994, + "rms": 0.13653977047301244 + }, + "combined": { + "covariance_improving_modes": 3, + "mean_over_modes": { + "center_squared_error_drift": -2.8010277831088435, + "covariance_squared_error_drift": 1.0527369684484662, + "original_covariance_error": 1.5296092247789643, + "original_covariance_error_drift": 0.16684630425485764, + "radial_variance_drift": 0.06996835485865507, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": 0.2830736305518366, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 16, + "tangent_expanding_modes": 15 + }, + "prior": { + "covariance_improving_modes": 3, + "mean_over_modes": { + "center_squared_error_drift": -0.002474369788154107, + "covariance_squared_error_drift": 0.0034180745227934193, + "original_covariance_error": 1.5296092247789643, + "original_covariance_error_drift": 0.0005490848673978718, + "radial_variance_drift": 6.98710963597216e-05, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": 0.0008139895853780534, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 12, + "tangent_expanding_modes": 13 + }, + "prior_velocity": { + "max": 0.0016738193665946192, + "median": -6.863504500654608e-07, + "min": -0.0013405551976659739, + "rms": 0.00030799350219993995 + }, + "unprojected": { + "covariance_improving_modes": 16, + "mean_over_modes": { + "center_squared_error_drift": -0.571800753387774, + "covariance_squared_error_drift": -2.8391797079792593, + "original_covariance_error": 1.5296092247789643, + "original_covariance_error_drift": -0.46986889917712465, + "radial_variance_drift": 0.18575612821637946, + "radial_variance_ratio": 0.2757017376398081, + "tangent_variance_drift": -0.6370961840983054, + "tangent_variance_ratio": 3.007149333606502 + }, + "radial_expanding_modes": 16, + "tangent_expanding_modes": 1 + } + } + }, + "finite_panel": { + "diagnostic_approximation_only": true, + "law": "all256 saved rows times8 equal-weight antithetic axial points at +/-2sigma along each of4 axes", + "original_gaussian_law_replaced": false, + "points": 2048, + "rule": "axes" + }, + "finite_panel_sensitivity": { + "comparisons": { + "mmd_axes": { + "directions": { + "adversarial": { + "G": { + "center_squared_error_drift": -0.7324494390662657, + "original_covariance_error_drift": -0.004718619467669971, + "radial_variance_drift": -0.02542345767191165, + "tangent_variance_drift": -0.011230935885955539 + }, + "combined": { + "center_squared_error_drift": -0.7368969862550772, + "original_covariance_error_drift": -0.006580982460197611, + "radial_variance_drift": -0.025514476402208237, + "tangent_variance_drift": -0.014165742084582773 + }, + "prior": { + "center_squared_error_drift": -0.004447547188811588, + "original_covariance_error_drift": -0.0018623629925276297, + "radial_variance_drift": -9.101873029658369e-05, + "tangent_variance_drift": -0.0029348061986272274 + }, + "unprojected": { + "center_squared_error_drift": -0.21521252000698915, + "original_covariance_error_drift": -1.9013036245154613, + "radial_variance_drift": -0.02532041029400468, + "tangent_variance_drift": -2.9167290557881356 + } + }, + "combined": { + "G": { + "center_squared_error_drift": -3.5310028523869548, + "original_covariance_error_drift": 0.16157859991978976, + "radial_variance_drift": 0.04447502609038372, + "tangent_variance_drift": 0.271028705080503 + }, + "combined": { + "center_squared_error_drift": -3.537924769363921, + "original_covariance_error_drift": 0.16026532179466002, + "radial_variance_drift": 0.044453878456446855, + "tangent_variance_drift": 0.26890788846725383 + }, + "prior": { + "center_squared_error_drift": -0.006921916976965696, + "original_covariance_error_drift": -0.0013132781251297583, + "radial_variance_drift": -2.1147633936862158e-05, + "tangent_variance_drift": -0.0021208166132491743 + }, + "unprojected": { + "center_squared_error_drift": -0.7870132733947631, + "original_covariance_error_drift": -2.371172523692586, + "radial_variance_drift": 0.1604357179223749, + "tangent_variance_drift": -3.553825239886441 + } + }, + "mmd": { + "G": { + "center_squared_error_drift": -2.7985534133206893, + "original_covariance_error_drift": 0.16629721938745975, + "radial_variance_drift": 0.06989848376229532, + "tangent_variance_drift": 0.28225964096645856 + }, + "combined": { + "center_squared_error_drift": -2.8010277831088435, + "original_covariance_error_drift": 0.16684630425485764, + "radial_variance_drift": 0.06996835485865507, + "tangent_variance_drift": 0.2830736305518366 + }, + "prior": { + "center_squared_error_drift": -0.002474369788154107, + "original_covariance_error_drift": 0.0005490848673978718, + "radial_variance_drift": 6.98710963597216e-05, + "tangent_variance_drift": 0.0008139895853780534 + }, + "unprojected": { + "center_squared_error_drift": -0.571800753387774, + "original_covariance_error_drift": -0.46986889917712465, + "radial_variance_drift": 0.18575612821637946, + "tangent_variance_drift": -0.6370961840983054 + } + } + }, + "finite_panel": { + "diagnostic_approximation_only": true, + "law": "all256 saved rows times8 equal-weight antithetic axial points at +/-2sigma along each of4 axes", + "original_gaussian_law_replaced": false, + "points": 2048, + "rule": "axes" + } + }, + "mmd_corners": { + "directions": { + "adversarial": { + "G": { + "center_squared_error_drift": -0.8123361144447936, + "original_covariance_error_drift": -0.0029247041940786943, + "radial_variance_drift": -0.02848289252694399, + "tangent_variance_drift": -0.007661700987581572 + }, + "combined": { + "center_squared_error_drift": -0.8167424577806222, + "original_covariance_error_drift": -0.004888933827179438, + "radial_variance_drift": -0.028575973141052882, + "tangent_variance_drift": -0.010743056617597146 + }, + "prior": { + "center_squared_error_drift": -0.00440634333582865, + "original_covariance_error_drift": -0.0019642296331007377, + "radial_variance_drift": -9.308061410889238e-05, + "tangent_variance_drift": -0.0030813556300155727 + }, + "unprojected": { + "center_squared_error_drift": -0.227011765150124, + "original_covariance_error_drift": -1.8079651407815744, + "radial_variance_drift": -0.02481311691874875, + "tangent_variance_drift": -2.757984659267504 + } + }, + "combined": { + "G": { + "center_squared_error_drift": -3.7425676160714616, + "original_covariance_error_drift": 0.17329789013889876, + "radial_variance_drift": 0.0371300861819943, + "tangent_variance_drift": 0.28718346841557946 + }, + "combined": { + "center_squared_error_drift": -3.750018581207952, + "original_covariance_error_drift": 0.17117388782783544, + "radial_variance_drift": 0.03705801835713429, + "tangent_variance_drift": 0.2838379196209242 + }, + "prior": { + "center_squared_error_drift": -0.007450965136490025, + "original_covariance_error_drift": -0.0021240023110632943, + "radial_variance_drift": -7.206782486005024e-05, + "tangent_variance_drift": -0.0033455487946552464 + }, + "unprojected": { + "center_squared_error_drift": -0.8271236817030339, + "original_covariance_error_drift": -2.083799892280293, + "radial_variance_drift": 0.15680062952644166, + "tangent_variance_drift": -3.1000872867875855 + } + }, + "mmd": { + "G": { + "center_squared_error_drift": -2.9302315016266682, + "original_covariance_error_drift": 0.17622259433297743, + "radial_variance_drift": 0.0656129787089383, + "tangent_variance_drift": 0.294845169403161 + }, + "combined": { + "center_squared_error_drift": -2.9332761234273295, + "original_covariance_error_drift": 0.17606282165501486, + "radial_variance_drift": 0.06563399149818713, + "tangent_variance_drift": 0.2945809762385213 + }, + "prior": { + "center_squared_error_drift": -0.003044621800661376, + "original_covariance_error_drift": -0.00015977267796255697, + "radial_variance_drift": 2.1012789248841878e-05, + "tangent_variance_drift": -0.0002641931646396744 + }, + "unprojected": { + "center_squared_error_drift": -0.6001119165529097, + "original_covariance_error_drift": -0.2758347514987182, + "radial_variance_drift": 0.1816137464451906, + "tangent_variance_drift": -0.3421026275200811 + } + } + }, + "finite_panel": { + "diagnostic_approximation_only": true, + "law": "all256 saved rows times16 equal-weight +/-1sigma hypercube corners in4 dimensions", + "original_gaussian_law_replaced": false, + "points": 4096, + "rule": "corners" + } + } + }, + "diagnostic_wall_seconds_by_final_receipt": { + "mmd_axes": 2.03163234598469, + "mmd_corners": 3.107225894986186 + }, + "interpretation_limits": [ + "Orders3 and5 are integration diagnostics, not separate seed trials or proof of converged quadrature.", + "Axes/corners finite panels match Gaussian first/second moments but neither is the original random law.", + "A directional sign predicts only local frozen-model behavior and does not reject or qualify a trained recipe.", + "Diagnostic CPU wall times are distinct from original paid training charges; earlier debugging executions are not included." + ], + "qualification_input": false, + "random_draws_added": 0, + "raw_archives": { + "mmd_axes": { + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/mmd-projection-axes.stdout.json", + "sha256": "e9bb078831103da95f77cc717e4850b228d94b04b9f4f73baba504156502beb2" + }, + "mmd_corners": { + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/mmd-projection-corners.stdout.json", + "sha256": "2f782cecf31de1aff325761dcfa6518c031e9804c3b8ba3ee3148c246219ca07" + } + }, + "schema_version": 1, + "scope": "saved_endpoint_sensitivity_summary", + "source_hashes": { + "mmd_projection_probe.py": "ded8be82b36ae93e29ffea1cd9675796e6a9ac04e828abb62ee8e495fb34f20e", + "saved_force_probe.py": "34fb328507a4178f76bc10a77b1b0ea18f31c7143a0bf4ad8e471d07630a1f9c", + "summarize_probes.py": "406ea0ee3d5f86321a81b3fa451d5699775cff4ae4d3a51fbc40efe48463207d" + }, + "training_updates_added": 0 + }, + "immutable_binding": { + "commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "publication_git_blob": "51d853392eca4ddc90cef4fedb7baf0e4ba08423", + "publication_path": "reports/forge/r1r2-energy-distance-repair/publication/results.json", + "publication_sha256": "cb3f7b89d1677591a12dd86377d072b55cba1b95e99060b2841cdf42c418b75c", + "raw_matches_pinned_result": true, + "recipe_prior_target_architecture_optimizer_bindings_checked": true, + "request_sha256": "4d4db71ee278494e2130dd9a1b7b9933bd15b66a62085260fb0d9c28b6ebebb3", + "result_sha256": "1604b42244e56b7792ebea7e57ea2496e0fcf06a1c1dcbda36370d54df49cd33" + }, + "limits": [ + "Finite deterministic panel; not a minibatch force or Gaussian-integrated generator law.", + "No momentum/denominator updates or future critic refitting; fixed endpoint Jacobian.", + "Signed fake U statistic and exact uniform16-Gaussian target kernel expectation; no center-only target.", + "No trained result, qualification, API mechanism or paid experiment follows from directional signs." + ], + "probe_sha256": "ded8be82b36ae93e29ffea1cd9675796e6a9ac04e828abb62ee8e495fb34f20e", + "qualification_input": false, + "random_draws_added": 0, + "schema_version": 1, + "scope": "saved_endpoint_analysis_only_finite_panel_mmd_projection", + "training_updates_added": 0, + "widths": [ + 0.0625, + 0.125, + 0.25, + 0.5, + 1.0, + 2.0, + 4.0 + ] +} diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/mmd_projection_probe.py b/reports/forge/r1r2-failure-diagnosis-20261022/mmd_projection_probe.py new file mode 100644 index 000000000..2039085ac --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/mmd_projection_probe.py @@ -0,0 +1,138 @@ +"""Analysis-only fixed archived MMD force projected through saved NS G/AMS. + +The finite panel uses all 256 saved prior rows and eight deterministic axial +sigma points per row. It matches Gaussian first/second moments but is not the +training/evaluation sampling law and supplies no gate or trained result. +""" +import argparse +import hashlib +import itertools +import json +from pathlib import Path +import random +import time + +import numpy as np +import torch +import torch.nn.functional as F + +from saved_force_probe import ROOTS, inspect, mlp, sha, shape_drift, stats, tangent + +WIDTHS = (.0625, .125, .25, .5, 1., 2., 4.) + + +def mmd_force(x, means): + """Exact derivative for empirical fake U and integrated original real law.""" + n = len(x) + out = torch.zeros_like(x) + for first in range(0, n, 128): + last = first + 128 + xx = x[first:last] + delta = xx[:, None, :] - x[None, :, :] + real_delta = xx[:, None, :] - means[None, :, :] + dist2, real_dist2 = delta.square().sum(2), real_delta.square().sum(2) + for width in WIDTHS: + s2 = width ** 2 + fake = torch.exp(-dist2 / (2 * s2)) + real = s2 / (s2 + .01) * torch.exp(-real_dist2 / (2 * (s2 + .01))) + out[first:last] += (-2 / (n * (n - 1) * s2) * (fake[:, :, None] * delta).sum(1) + + 2 / (n * (s2 + .01)) * (real[:, :, None] * real_delta).mean(1)) / len(WIDTHS) + return out + + +def numerical_check(means): + x = (torch.arange(14, dtype=torch.float64).reshape(7, 2) / 7 - 1).requires_grad_() + loss = torch.tensor(0., dtype=torch.float64) + for width in WIDTHS: + s2 = width ** 2 + kernel = torch.exp(-(x[:, None] - x[None, :]).square().sum(2) / (2 * s2)) + real = s2 / (s2 + .01) * torch.exp(-(x[:, None] - means[None, :]).square().sum(2) / (2 * (s2 + .01))) + loss = loss + ((kernel.sum() - kernel.diag().sum()) / (len(x) * (len(x) - 1)) - 2 * real.mean()) / len(WIDTHS) + g, = torch.autograd.grad(loss, x) + error = float((g - mmd_force(x.detach(), means)).abs().max()) + assert error < 1e-10 + return error + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('--compact-output', type=Path) + parser.add_argument('--panel', choices=['axes', 'corners'], default='axes') + args = parser.parse_args() + torch.set_num_threads(1) + started = time.monotonic() + py, nr, tr = random.getstate(), np.random.get_state(), torch.get_rng_state().clone() + def forbidden(*a, **kw): + raise AssertionError('Saved-state MMD probe forbids draws/models/optimizers') + for name in ('rand', 'randn', 'randint', 'randperm', 'normal', 'multinomial'): + setattr(torch, name, forbidden) + torch.nn.Module.__init__ = forbidden + torch.optim.Optimizer.__init__ = forbidden + root = ROOTS['ns_amsgrad'] + binding = inspect('ns_amsgrad', root, 3) + state_path = root / 'provenance/provenance-state.pt' + state = torch.load(state_path, map_location='cpu', weights_only=True) + model = state['trainer']['models'] + gp = {k: v.double().clone().requires_grad_() for k, v in model['G'].items()} + dp = {k: v.double() for k, v in model['D'].items()} + prior = model['prior']['z'].double().clone().requires_grad_() + request = json.loads((root / 'request.json').read_text())['request'] + means = torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'], dtype=torch.float64) + axes = (torch.cat((2 * torch.eye(4), -2 * torch.eye(4))).double() if args.panel == 'axes' + else torch.tensor(list(itertools.product((-1., 1.), repeat=4)), dtype=torch.float64)) + z = (prior[:, None, :] + float(model['prior']['sigma']) * axes[None, :, :]).flatten(0, 1) + x = mlp(z, gp) + weights = torch.full((len(x),), 1 / len(x), dtype=torch.float64) + adversarial = F.softplus(-mlp(x, dp, critic=True)).mean() + mmd_gradient = mmd_force(x.detach(), means) + mmd_pseudo = (x * mmd_gradient).sum() + params = list(gp.values()) + [prior] + opt = state['trainer']['optimizers'][0] + denom, rates = [], [] + for group in opt['param_groups']: + for j in group['params']: + s = opt['state'][j] + denom.append((s['max_exp_avg_sq'].double() / (1 - group['betas'][1] ** float(s['step']))).sqrt() + group['eps']) + rates.append(group['lr']) + results = {} + for name, loss in [('adversarial', adversarial), ('mmd', mmd_pseudo), ('combined', adversarial + mmd_pseudo)]: + grads = torch.autograd.grad(loss, params, retain_graph=True) + directions = [-lr * g / d for g, d, lr in zip(grads, denom, rates)] + gd = dict(zip(gp, directions[:-1])) + pd = directions[-1][:, None, :].expand(len(prior), len(axes), 4).reshape_as(z) + gv = tangent(z.detach(), gp, torch.zeros_like(z), gd).detach() + pv = tangent(z.detach(), gp, pd, {k: torch.zeros_like(v) for k,v in gp.items()}).detach() + force, = torch.autograd.grad(loss, x, retain_graph=True) + results[name] = {'unprojected': shape_drift(x, -force / weights[:, None], weights, means), + 'G': shape_drift(x, gv, weights, means), 'prior': shape_drift(x, pv, weights, means), + 'combined': shape_drift(x, gv + pv, weights, means), + 'G_velocity': stats(gv), 'prior_velocity': stats(pv)} + assert random.getstate() == py and np.array_equal(np.random.get_state()[1], nr[1]) + assert np.random.get_state()[0] == nr[0] and np.random.get_state()[2:] == nr[2:] + assert torch.equal(tr, torch.get_rng_state()) + result = {'schema_version': 1, 'scope': 'saved_endpoint_analysis_only_finite_panel_mmd_projection', + 'qualification_input': False, 'training_updates_added': 0, 'random_draws_added': 0, + 'ambient_rng_unchanged': True, 'probe_sha256': sha(__file__), + 'core_probe_sha256': sha(Path(__file__).with_name('saved_force_probe.py')), + 'immutable_binding': binding['immutable_binding'], 'checkpoint_sha256': binding['checkpoint_sha256'], + 'widths': WIDTHS, 'auxiliary_coefficient': 1, 'finite_panel': {'points': len(x), 'rule': args.panel, + 'law': ('all256 saved rows times8 equal-weight antithetic axial points at +/-2sigma along each of4 axes' + if args.panel == 'axes' else 'all256 saved rows times16 equal-weight +/-1sigma hypercube corners in4 dimensions'), + 'original_gaussian_law_replaced': False, 'diagnostic_approximation_only': True}, + 'analytic_force_max_abs_error': numerical_check(means), 'directions': results, + 'diagnostic_wall_seconds': time.monotonic() - started, + 'limits': ['Finite deterministic panel; not a minibatch force or Gaussian-integrated generator law.', + 'No momentum/denominator updates or future critic refitting; fixed endpoint Jacobian.', + 'Signed fake U statistic and exact uniform16-Gaussian target kernel expectation; no center-only target.', + 'No trained result, qualification, API mechanism or paid experiment follows from directional signs.']} + if args.compact_output: + def compact(v): + if isinstance(v, dict): + return {k: compact(x) for k,x in v.items() if k != 'per_mode'} + return v + args.compact_output.write_text(json.dumps(compact(result), indent=2, sort_keys=True, allow_nan=False) + '\n') + print(json.dumps(result, indent=2, sort_keys=True, allow_nan=False)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/protocol-audit.md b/reports/forge/r1r2-failure-diagnosis-20261022/protocol-audit.md new file mode 100644 index 000000000..a12c82f31 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/protocol-audit.md @@ -0,0 +1,151 @@ +# R1/R2 protocol and prior-repair audit + +Read-only audit of declared settings and published numerical evidence. Zero +training updates, sampling draws, queue claims, regrading or qualification reuse. +The [technique inventory](../technique-inventory.md) remains the only generated +leaderboard for this goal. No replacement recipe is selected here. + +The selected recipe is +[`recipe-prior-refactor-r1r2-v1`](../../../configs/forge/ideas/recipe-prior-refactor-r1r2-v1.json), +candidate revision `594012d6f37dcf9bb8d8c2e9c84085cfcd896d5d44843496901fb5d0019c617a`. +Its recorded source digest is +`a5eafc73e4c4a995cc388b9be00bea5aec289fd35863099e369008e7def0ab14`, +executed commit `a0493ca3c213d559523eadc76e244ec9f9c1f81f`. +The current family report labels its recorded measurement stale against newer +contracts; this audit supplies no current-source qualification. + +The current stability view is revision **14**; recorded qualification remains +bound to revision **9**. The inventory's 49-task scientific-verdict projection +shows **5 PASS, 2 FAIL and 42 not measured** for this selected recipe. These +counts are different from repeated per-view requirements and attempted +diagnostics. In particular, 77 diagnostic attempts are not 77 scientific FAILs. +The separate [Tier 2 diagnostic cohort](../tier-coverage-20261014/README.md) +records **9/21 PASS** under its own declaration; its failures remain visible but +cannot be pooled into ordinary prerequisite-qualified cells. + +The recipe uses native Adam, base LR .0085 with a .1 cosine floor, beta1 zero, +beta2 .9 to .99, paired R1/R2 coefficient 1 to .1, learned prior locations, +zero prior-regularizer weight and zero additive training noise/EMA. Beta2 and +penalty strength reach their endpoints after 20% of the task-bound horizon. + +## Horizon ownership and the actual failure + +The current [Ring16 task](../../../configs/forge/tasks/ring16_acquisition.json) +declares **1,600 execution updates and original schedule horizon 400**. The +[public binding](../../../experiments/forge/api.py) deliberately sets the resolved +recipe's `total_steps` from `original_schedule_horizon` when present and rejects +candidate resource overrides. It does not silently choose the execution cap. +Consequently beta2/gamma settle by update 80 and LR reaches its floor by 400, +leaving 1,200 permitted updates at that floor. This distinction is declared +protocol, not a demonstrated adapter defect. + +Changing the task's horizon 400 to 1,600 would create a new task/protocol identity. +A reusable trainer schedule policy would instead need its own explicit recipe +delta and host support. Neither may overwrite old failures. The existing +6,400-horizon result below is not evidence for an unmeasured horizon-1,600 recipe. + +The frozen task uses 16 equally weighted 2D Gaussians, radius 3 and sigma .1; +256 initial MoG locations, latent dimension 4, batch 128, a width-64/two-layer +host with Fourier setting 2; seed 0 and public deterministic initialization. +It scores 96 clean/live panels of 4,096 public-prior samples and requires five +terminal full passes. The original endpoint finds all 16 modes and passes mass +TV and minimum spread, but **HQ .844238 < .85 and component covariance error +2.066388 > .85**. None of its 96 panels passes the full gate. Occupancy alone +therefore does not diagnose this failure; local distribution quality does. + +## Existing duration and schedule evidence + +These are frozen archived-source Ring-only diagnostics. Their stored outcomes +are copied below without recomputation. They have no ordinary qualification +credit. The schedule contrast matches actual initial tensors/prior, consumed +target batches and the serialization boundary with its saved duration control. + +| Schedule horizon | Execution cut | Stored full verdict | Terminal passes | Covariance error (<= .85) | Min eigen ratio (>= .15) | HQ (>= .85) | +| ---: | ---: | --- | ---: | ---: | ---: | ---: | +| 400 | 1,600 | FAIL | 0 | 2.066388 | .223238 | .844238 | +| 400 | 3,200 | FAIL | 0 | 1.260007 | .117109 | .894287 | +| 400 | 4,800 | FAIL | 0 | .815628 | .135986 | .934814 | +| 400 | 6,400 | FAIL | 3 | .525637 | .221104 | .947754 | +| 6,400 | 1,600 | FAIL | 0 | 1.816648 | .548108 | .780762 | +| 6,400 | 3,200 | FAIL | 0 | 5.860979 | .701077 | .229248 | +| 6,400 | 4,800 | FAIL | 0 | .868858 | .276721 | .960205 | +| 6,400 | 6,400 | PASS | 5 | .423491 | .157181 | .977539 | + +The 400-horizon endpoint at 6,400 passes every scalar endpoint bound but fails +the sustained rule: only three terminal passes. The published duration readout +records a minimum-spread failure at update 6,350 (.13328 < .15). The stretched +schedule passes with exactly five terminal checks, and only .007181 minimum +spread margin. Its 3,200 cut also fails mode coverage (5 of 16). Its 4,800 cut +fails covariance. These are measured failures rather than unknown cells. + +This supports schedule exhaustion as one contributor at the longer budget, +without establishing LR as the sole cause: beta2 and gamma change together. +Every reported 1,600 cut still fails. Neither a longer budget nor a stretched +schedule establishes a repair within the unchanged ordinary task allowance. + +Sources: [duration results](../ring16-duration-20261011/results.json), +[schedule results](../ring16-schedule-20261011/results.json) and +[schedule protocol](../ring16-schedule-20261011/protocol.json). + +## Do not repeat the concluded search + +The [PR #401 archive](../r1r2-concluded-archive/README.md) preserves 34 complete +measured revisions; all fail Ring16. Already tested: constant policies/rates, +critic/prior rate changes, Adam momentum roles, AMSGrad, direction/denominator +changes, spectral updates, local/global sliced transport, non-saturating loss, +weaker gamma, raw signed energy and freezing learned prior locations. The +strongest complete recipes retain five of six ordinary passes plus their own +clock audit. Their endpoints still fail density; per-task winners cannot be +combined into one qualified recipe. + +The scheduled baseline's clock failure is expected under its explicit scheduled +claim. It is separate from the ordinary Ring16 blocker. An ordinary acquisition +PASS on Gaussian or words also does not certify its endpoint or later hold. + +The [selected-recipe publication](../recipe-prior-refactor/publication/results.json) +makes the word distinction concrete. Ordinary smoke attempt +`8432785e8a6645378778b83f1f457819` has one independently confirmed full pass at +update **2,501**, so its acquisition grade is PASS. Its update-20,001 endpoint +has four words, mass TV .217188, failed exact inverse reconstruction and minimum +reconstruction token probability zero; this does not erase the acquired PASS. +The separate hold attempt `d765aa2da2d1434b9234f7114309c60e` restores the successful +2,501 state, then adds 4,000 updates. It FAILs its original every-check hold +contract, ending with one quality word, quality fraction .383789, mass TV .8 and +inverse NLL 11.006416. Thus retention is a measured failure. Categorical softmax +saturation is supported as a local recovery obstruction by the subsequent +[saved-state diagnostic](word-saturation-diagnosis.json): four of five enumerated +prior atoms attenuate the critic probability force by more than a million-fold +through softmax, in float32 and float64, while direct joint-latent force remains. +The complete generator gradient is nonzero; two endpoints do not identify the +initial trigger or prove a causal repair. Original acquisition and hold grades +remain unchanged. + +Constant non-saturating AMSGrad m110 is a stronger **unselected** historical +control: five of six ordinary acquisition/behavioral passes plus its own clock +PASS, with all 24 word acquisition checks confirmed. It still fails Ring16 +(covariance 1.556546 > .85 and minimum spread .094075 < .15), and its word +endpoint does not supply an unexecuted later hold result. It is not an automatic +family replacement or a way to combine task-specific successes. + +The old campaign is concluded at 238 unique paid attempts / 7,168.248061 seconds +under its original 8,000-second cap. Do not reopen or enlarge it. Output-MMD is +untrained deferred preparation, supported only by limited saved output-force +evidence; native least squares was deferred. Neither is a measured solution. +A new user-authorized campaign would still need a distinct supported hypothesis, +fresh frozen source/control bindings, one global recipe and its own finite cap. + +## Pinned inputs + +SHA-256 identities at this audit; archived identities use original commit +`2cf7b0a4c796e29ace6cca12d2e553ad67211b5c`. + +| Input | SHA-256 | +| --- | --- | +| Selected recipe JSON | `f93f64d4872fc8965ecde70d006f640a3d3c0e2a00aa44a03f4c1ec5c6283b67` | +| Current Ring16 task JSON | `83ae3f6e1ff2bc2230882db72afbb0a2e075e271147382e69ee236b4a8df35f0` | +| Public binding api.py | `c3f00eddbc8466027b4180f66d167467efb36c287688fb2b328aff74f21260cb` | +| Family selection JSON | `35871846445af79feec0775aa398b3c1ad037a6aa1723cccbf56fe73bd85b7ec` | +| Duration results JSON | `c46c30cd31f15e258673a0f3b99135ce4c6b8411bb5e4d0186d7a0f7a266554f` | +| Schedule results JSON | `c34c0580d36e2598b8621105b37302a178bc77d27f5bab56601b438c19301dd0` | +| Archived baseline results JSON | `29ef8926634f453735238ed6385feb42c3a01b271944a4d8b04039a561ab1835` | +| Archived next-mechanism README | `ea867d5d14aa7d20f7cb9f1356ae0c8ccd39a5bd3b6edff9e758a71d1ad451e0` | diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json b/reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json new file mode 100644 index 000000000..855d06fff --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json @@ -0,0 +1,1504 @@ +{ + "ambient_rng_unchanged": true, + "cohorts": { + "energy_amsgrad": { + "actual_loss_generator_multiplier": { + "max": 0.8066044900643012, + "median": 0.5118625400443164, + "min": 0.4418131241745626, + "rms": 0.5159005661002317 + }, + "adversarial_projected_drift": { + "current_frozen_denominator": { + "G": { + "covariance_improving_modes": 16, + "mean_over_modes": { + "center_squared_error_drift": -1.4044502403573487, + "covariance_squared_error_drift": -21.48930285007347, + 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"radial_variance_drift": -2.486590106818559, + "tangent_variance_drift": -4.173346472188725 + } + }, + "order5": { + "current_frozen_denominator": { + "center_squared_error_drift": -1.4221570692675471, + "original_covariance_error_drift": -0.3972870921220563, + "radial_variance_drift": -0.4832512475295806, + "tangent_variance_drift": -0.18308858707174264 + }, + "saved_momentum": { + "center_squared_error_drift": 1.569864649846028, + "original_covariance_error_drift": 0.5356308856012029, + "radial_variance_drift": 0.5998232502223494, + "tangent_variance_drift": 0.3065246281149694 + }, + "unprojected": { + "center_squared_error_drift": -1.007728504092488, + "original_covariance_error_drift": -2.983254440061048, + "radial_variance_drift": -2.4939128991379653, + "tangent_variance_drift": -4.2156211083648145 + } + } + }, + "energy_frozen_prior": { + "current_covariance_drift_sign_agrees": true, + "order3": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.428165202324577, + "original_covariance_error_drift": -0.3542410501837492, + "radial_variance_drift": -0.36808724686371297, + "tangent_variance_drift": -0.40568798015522073 + }, + "saved_momentum": { + "center_squared_error_drift": 1.3280931527917663, + "original_covariance_error_drift": -0.21170193573477006, + "radial_variance_drift": -0.20445081508076576, + "tangent_variance_drift": -0.28620054421933283 + }, + "unprojected": { + "center_squared_error_drift": -0.9097796284264684, + "original_covariance_error_drift": -9.820234750411633, + "radial_variance_drift": -2.0113828158789366, + "tangent_variance_drift": -13.819426849012267 + } + }, + "order5": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.4587769039297894, + "original_covariance_error_drift": -0.345973395761394, + "radial_variance_drift": -0.3629483463543145, + "tangent_variance_drift": -0.395342669009787 + }, + "saved_momentum": { + "center_squared_error_drift": 1.354715347831991, + "original_covariance_error_drift": -0.1886122749223751, + "radial_variance_drift": -0.1966704629966827, + "tangent_variance_drift": -0.2626842321675108 + }, + "unprojected": { + "center_squared_error_drift": -0.9382376156896766, + "original_covariance_error_drift": -9.700307835834435, + "radial_variance_drift": -2.0364615677043334, + "tangent_variance_drift": -13.653080044249887 + } + } + }, + "ns_amsgrad": { + "current_covariance_drift_sign_agrees": true, + "order3": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.8993338059666558, + "original_covariance_error_drift": 0.00138665481460815, + "radial_variance_drift": -0.029563130306458, + "tangent_variance_drift": -0.0008693398149436794 + }, + "saved_momentum": { + "center_squared_error_drift": 0.33295372342371654, + "original_covariance_error_drift": 0.00977277021498813, + "radial_variance_drift": -0.0017612138001565733, + "tangent_variance_drift": 0.012162454333650721 + }, + "unprojected": { + "center_squared_error_drift": -0.2390491077420052, + "original_covariance_error_drift": -1.6402272126123052, + "radial_variance_drift": -0.029261009768900167, + "tangent_variance_drift": -2.4806211676662278 + } + }, + "order5": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.8763107105717399, + "original_covariance_error_drift": 0.002666718395314338, + "radial_variance_drift": -0.02856160762644583, + "tangent_variance_drift": 0.000953504004649214 + }, + "saved_momentum": { + "center_squared_error_drift": 0.3318781860901742, + "original_covariance_error_drift": 0.0094142183278938, + "radial_variance_drift": -0.0017695441803752218, + "tangent_variance_drift": 0.011577036713262713 + }, + "unprojected": { + "center_squared_error_drift": -0.23412566982268734, + "original_covariance_error_drift": -1.6639908030497599, + "radial_variance_drift": -0.028088172852657453, + "tangent_variance_drift": -2.518095841446624 + } + } + }, + "scheduled_selected": { + "current_covariance_drift_sign_agrees": false, + "order3": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.4215241178949822, + "original_covariance_error_drift": 0.002007602343829294, + "radial_variance_drift": -0.04000663682670447, + "tangent_variance_drift": -0.003950358650953903 + }, + "saved_momentum": { + "center_squared_error_drift": -0.06293511699660151, + "original_covariance_error_drift": 0.05820869290203925, + "radial_variance_drift": 0.10243548241911313, + "tangent_variance_drift": 0.0966051592779686 + }, + "unprojected": { + "center_squared_error_drift": -0.1678282357531292, + "original_covariance_error_drift": -2.4346197653383257, + "radial_variance_drift": -0.04714994158519029, + "tangent_variance_drift": -3.538426828286254 + } + }, + "order5": { + "current_frozen_denominator": { + "center_squared_error_drift": -0.38398941380104046, + "original_covariance_error_drift": -0.0015434301190673288, + "radial_variance_drift": -0.04030593025066716, + "tangent_variance_drift": -0.009042030810946122 + }, + "saved_momentum": { + "center_squared_error_drift": -0.06424407859575837, + "original_covariance_error_drift": 0.05920274087328565, + "radial_variance_drift": 0.10240369747990102, + "tangent_variance_drift": 0.09833274505049326 + }, + "unprojected": { + "center_squared_error_drift": -0.15783710504849874, + "original_covariance_error_drift": -2.5156018787380665, + "radial_variance_drift": -0.047258206303023506, + "tangent_variance_drift": -3.6605515777662463 + } + } + } + }, + "diagnostic_wall_seconds_by_final_receipt": { + "order3": 4.633708356996067, + "order5": 43.77662653900916 + }, + "interpretation_limits": [ + "Orders3 and5 are integration diagnostics, not separate seed trials or proof of converged quadrature.", + "Axes/corners finite panels match Gaussian first/second moments but neither is the original random law.", + "A directional sign predicts only local frozen-model behavior and does not reject or qualify a trained recipe.", + "Diagnostic CPU wall times are distinct from original paid training charges; earlier debugging executions are not included." + ], + "qualification_input": false, + "random_draws_added": 0, + "raw_archives": { + "order3": { + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/saved-force-order3.stdout.json", + "sha256": "957d7fc7c6adcd879e6180486949c50c7b6bd261c36392ebb91c9dce564613e6" + }, + "order5": { + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/saved-force-order5.stdout.json", + "sha256": "b6ba16a031ad0198674684debd37d9c221df71646902bbaede3820a9f4a49c83" + } + }, + "schema_version": 1, + "scope": "saved_endpoint_sensitivity_summary", + "source_hashes": { + "mmd_projection_probe.py": "ded8be82b36ae93e29ffea1cd9675796e6a9ac04e828abb62ee8e495fb34f20e", + "saved_force_probe.py": "34fb328507a4178f76bc10a77b1b0ea18f31c7143a0bf4ad8e471d07630a1f9c", + "summarize_probes.py": "406ea0ee3d5f86321a81b3fa451d5699775cff4ae4d3a51fbc40efe48463207d" + }, + "training_updates_added": 0 + }, + "qualification_input": false, + "random_draws_added": 0, + "raw_stdout_archive": "/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022/saved-force-order3.stdout.json", + "schema_version": 1, + "scope": "saved_endpoint_force_conditioning_diagnostic", + "torch_version": "2.14.0+cu130", + "training_updates_added": 0 +} diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/saved_force_probe.py b/reports/forge/r1r2-failure-diagnosis-20261022/saved_force_probe.py new file mode 100644 index 000000000..f66d2fae3 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/saved_force_probe.py @@ -0,0 +1,328 @@ +"""Read-only frozen Ring16 force/conditioning probe; never advances a trainer. + +Uses certified final tensors, the original target law, and deterministic Gaussian +quadrature. Quadrature is a diagnostic integration rule, not replacement evidence +for any original sampling law or gate. No model/optimizer is constructed. +""" +import argparse +import hashlib +import itertools +import json +from pathlib import Path +import random +import subprocess +import time + +import numpy as np +import torch +import torch.nn.functional as F + + +ARCHIVE = Path('/mnt/ml7tb/ParticleGAN-forge') +ARCHIVE_COMMIT = '2cf7b0a4c796e29ace6cca12d2e553ad67211b5c' +PUBLICATIONS = { + 'ns_amsgrad': 'reports/forge/r1r2-energy-distance-repair/publication/results.json', + 'energy_amsgrad': 'reports/forge/r1r2-energy-distance-repair/publication/results.json', + 'energy_frozen_prior': 'reports/forge/r1r2-energy-prior-freeze-repair/publication/results.json', + 'scheduled_selected': 'reports/forge/recipe-prior-refactor/publication/results.json', +} +ROOTS = { + 'ns_amsgrad': ARCHIVE / 'r1r2-tier1-search-20261012/queue/r1r2-energy-distance-repair-v1/3e1e55b0f89d4a8c8cedd706dbd4e021', + 'energy_amsgrad': ARCHIVE / 'r1r2-tier1-search-20261012/queue/r1r2-energy-distance-repair-v1/219c852ff8c345768d5cd16407b04236', + 'energy_frozen_prior': ARCHIVE / 'r1r2-tier1-search-20261012/queue/r1r2-energy-prior-freeze-repair-v1/c168f1c417b04e1a9938d68b04b0556c', + 'scheduled_selected': ARCHIVE / 'recipe-owned-priors-20261010/queue/recipe-prior-refactor-selected-leaders-v1/a54bc96e82f34c9e98e7fa1f1d268a33', +} + + +def sha(path): + return hashlib.sha256(Path(path).read_bytes()).hexdigest() + + +def mlp(x, p, *, critic=False): + if critic: + phase = x.unsqueeze(-1) * p['freqs'] + x = torch.cat((x, phase.sin().flatten(1), phase.cos().flatten(1)), 1) + for i in (0, 2, 4): + x = F.linear(x, p[f'net.{i}.weight'], p[f'net.{i}.bias']) + if i != 4: + x = F.leaky_relu(x, .2) + return x.squeeze(-1) if critic else x + + +def tangent(x, p, dx, dp): + for i in (0, 2, 4): + w, b = p[f'net.{i}.weight'], p[f'net.{i}.bias'] + a = F.linear(x, w, b) + da = F.linear(dx, w) + F.linear(x, dp[f'net.{i}.weight'], dp[f'net.{i}.bias']) + if i != 4: + da = da * torch.where(a > 0, torch.ones_like(a), torch.full_like(a, .2)) + a = F.leaky_relu(a, .2) + x, dx = a, da + return dx + + +def quadrature(d, order): + q, w = np.polynomial.hermite.hermgauss(order) + indices = list(itertools.product(range(order), repeat=d)) + points = torch.tensor([[float(q[i] * np.sqrt(2)) for i in row] for row in indices], dtype=torch.float64) + weights = torch.tensor([float(np.prod([w[i] / np.sqrt(np.pi) for i in row])) for row in indices], dtype=torch.float64) + assert abs(float(weights.sum()) - 1) < 1e-12 + return points, weights + + +def stats(t): + t = t.detach().double().flatten() + return {'min': float(t.min()), 'median': float(t.median()), 'max': float(t.max()), 'rms': float(t.square().mean().sqrt())} + + +def shape_drift(x, velocity, weight, means): + assigned = torch.cdist(x.detach(), means).argmin(1) + rows = [] + for k, mu in enumerate(means): + mask = assigned == k + xx, vv, ww = x[mask].detach(), velocity[mask].detach(), weight[mask] + ww = ww / ww.sum() + center, speed = (ww[:, None] * xx).sum(0), (ww[:, None] * vv).sum(0) + centered, flow = xx - center, vv - speed + cov = torch.einsum('b,bi,bj->ij', ww, centered, centered) + drift = torch.einsum('b,bi,bj->ij', ww, centered, flow) + torch.einsum('b,bi,bj->ij', ww, flow, centered) + radial = mu / mu.norm() + tangential = torch.stack((-radial[1], radial[0])) + residual = cov / .01 - torch.eye(2) + original_error = residual.norm() / np.sqrt(2) + original_drift = (residual * (drift / .01)).sum() / (residual.norm() * np.sqrt(2)) + rows.append({'mode': k, 'mass': float(weight[mask].sum()), + 'radial_variance_ratio': float(radial @ cov @ radial / .01), + 'tangent_variance_ratio': float(tangential @ cov @ tangential / .01), + 'radial_variance_drift': float(radial @ drift @ radial / .01), + 'tangent_variance_drift': float(tangential @ drift @ tangential / .01), + 'covariance_squared_error_drift': float(2 * ((cov / .01 - torch.eye(2)) * drift / .01).sum()), + 'original_covariance_error': float(original_error), + 'original_covariance_error_drift': float(original_drift), + 'center_squared_error_drift': float(2 * ((center - mu) * speed).sum() / .01)}) + keys = ['radial_variance_ratio', 'tangent_variance_ratio', 'radial_variance_drift', + 'tangent_variance_drift', 'covariance_squared_error_drift', 'original_covariance_error', + 'original_covariance_error_drift', 'center_squared_error_drift'] + return {'per_mode': rows, 'mean_over_modes': {k: sum(r[k] for r in rows) / 16 for k in keys}, + 'radial_expanding_modes': sum(r['radial_variance_drift'] > 0 for r in rows), + 'tangent_expanding_modes': sum(r['tangent_variance_drift'] > 0 for r in rows), + 'covariance_improving_modes': sum(r['covariance_squared_error_drift'] < 0 for r in rows)} + + +def critic_probe(x, p, means, weights=None): + x = x.detach().requires_grad_() + score = mlp(x, p, critic=True) + gradient, = torch.autograd.grad(score.sum(), x) + labels = torch.cdist(x.detach(), means).argmin(1) + per_mode = [] + for k, mu in enumerate(means): + mask = labels == k + delta, g = x[mask].detach() - mu, gradient[mask] + ww = torch.ones(len(g), dtype=torch.float64) if weights is None else weights[mask] + ww = ww / ww.sum() + radial = mu / mu.norm() + tangent_axis = torch.stack((-radial[1], radial[0])) + per_mode.append({'mode': k, 'score_mean': float((ww * score[mask].detach()).sum()), + 'gradient_norm_mean': float((ww * g.norm(dim=1)).sum()), + 'gradient_radial_rms': float((ww * (g @ radial).square()).sum().sqrt()), + 'gradient_tangent_rms': float((ww * (g @ tangent_axis).square()).sum().sqrt()), + 'residual_score_gradient_inner_product': float((ww * (delta * g).sum(1)).sum())}) + return {'per_mode': per_mode, 'gradient_norm': stats(gradient.norm(dim=1)), 'score': stats(score), + 'hypothetical_ns_multiplier': stats(torch.sigmoid(-score))} + + +def inspect(role, root, order): + state_path = root / 'provenance/provenance-state.pt' + panel_path = root / 'observed-samples.pt' + request = json.loads((root / 'request.json').read_text())['request'] + raw = json.loads((root / 'raw-result.json').read_text()) + publication_path = PUBLICATIONS[role] + publication_bytes = subprocess.check_output(['git', 'show', ARCHIVE_COMMIT + ':' + publication_path]) + publication = json.loads(publication_bytes) + certified = next(r for r in publication['certified_results'] if r['attempt_id'] == root.name) + exact = publication['exact_certificate_hashes'][root.name] + assert sha(root / 'request.json') == exact['request'] + assert sha(root / 'result.json') == exact['result'] + immutable_result = json.loads((root / 'result.json').read_text()) + assert immutable_result['raw']['result'] == raw + if 'checkpoint' in certified: + assert sha(state_path) == certified['checkpoint']['sha256'] + state = torch.load(state_path, map_location='cpu', weights_only=True) + panels = torch.load(panel_path, map_location='cpu', weights_only=True) + # Original checkpoint and panel bytes are checked against their archived receipts. + assert sha(panel_path) == raw['evidence']['saved_observer_outputs']['sha256'] + assert sha(state_path) == raw['evidence']['provenance_checkpoint']['sha256'] + source = request['source'] + snapshot = Path(source['snapshot_path']) + for name, expected in source['files'].items(): + assert sha(snapshot / name) == expected, name + t = state['trainer'] + canon = lambda obj: json.loads(json.dumps(obj)) + assert canon(t['recipe']) == canon(state['recipe']) == raw['recipe'] + for key, value in t['recipe'].items(): + if key in request['candidate']['recipe_overrides']: + assert canon(value) == canon(request['candidate']['recipe_overrides'][key]), key + assert t['completed_steps'] == panels[-1]['step'] == 1600 + models = t['models'] + parameter_names = [f'net.{i}.{name}' for i in (0, 2, 4) for name in ('weight', 'bias')] + assert list(models['G']) == parameter_names + assert list(models['D']) == ['freqs'] + parameter_names + shapes = [[64, 4], [64], [64, 64], [64], [2, 64], [2]] + assert [list(v.shape) for v in models['G'].values()] == shapes + gp = {k: v.double().clone().requires_grad_() for k, v in models['G'].items()} + dp = {k: v.double() for k, v in models['D'].items()} + prior = models['prior']['z'].double().clone().requires_grad_() + means = torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'], dtype=torch.float64) + task = request['tasks']['ring16_acquisition'] + spec = task['execution']['host_definition'] + assert spec['z_dim'] == 4 and spec['particles'] == 256 and spec['hidden'] == 64 and spec['layers'] == 2 and spec['fourier'] == 2 + assert torch.allclose(means.norm(dim=1), torch.full((16,), 3., dtype=torch.float64), atol=1e-12) + assert spec['covariances'] == [[[.01, 0.], [0., .01]]] * 16 and spec['masses'] == [.0625] * 16 + assert state['prior_contract'] == task['execution']['prior_contract'] == 'recipe_owned_v1' + assert {k: v for k, v in state['prior'].items() if k != 'learnable'} == task['execution']['prior'] == {'kind': 'mog', 'sigma': .1, 'standardize': False} + assert state['prior']['learnable'] == (request['candidate']['recipe_overrides']['prior_update'] == 'learned') + assert models['prior']['z'].shape == (256, 4) and models['prior']['sigma'] == torch.tensor(.1) + points, qw = quadrature(4, order) + z = (prior[:, None, :] + float(models['prior']['sigma']) * points[None, :, :]).flatten(0, 1) + weight = qw.repeat(len(prior)) / len(prior) + x = mlp(z, gp) + score = mlp(x, dp, critic=True) + rq, rw = quadrature(2, max(order, 7)) + real = (means[:, None, :] + .1 * rq[None, :, :]).flatten(0, 1) + real_weights = rw.repeat(16) / 16 + rs = mlp(real, dp, critic=True) + if t['recipe'].get('loss', 'relativistic') == 'non_saturating': + multiplier = torch.sigmoid(-score.detach()) + loss = (weight * F.softplus(-score)).sum() + else: + # Expected paired relativistic generator loss under the frozen real law. + # Detaching its multiplier preserves the exact first derivative and + # avoids retaining the full target-by-prior quadrature computation graph. + with torch.no_grad(): + multiplier = sum((torch.sigmoid(s - score.detach()) * w for s, w in zip(rs, real_weights))) + loss = -(weight * multiplier * score).sum() + output_gradient, = torch.autograd.grad(loss, x, retain_graph=True) + free_output_velocity = -output_gradient.detach() / weight[:, None] + named = list(gp) + ['prior.z'] + params = list(gp.values()) + [prior] + grads = list(torch.autograd.grad(loss, params)) + genopt = t['optimizers'][0] + saved = genopt['state'] + learned = state['prior']['learnable'] + expected_groups = [list(range(6)), [6]] if learned else [list(range(6))] + assert [g['params'] for g in genopt['param_groups']] == expected_groups + denominator, momentum, learning_rates, summaries = [], [], [], {} + for group in genopt['param_groups']: + ratios, denoms, moments = [], [], [] + for j in group['params']: + s = saved[j] + assert all(s[key].shape == params[j].shape for key in ('exp_avg', 'exp_avg_sq')) + if group['amsgrad']: + assert s['max_exp_avg_sq'].shape == params[j].shape + n = float(s['step']) + beta1, beta2 = group['betas'] + second = s.get('max_exp_avg_sq', s['exp_avg_sq']).double() + den = (second / (1 - beta2 ** n)).sqrt() + group['eps'] + denominator.append(den) + momentum.append(s['exp_avg'].double() / (1 - beta1 ** n)) + learning_rates.append(group['lr']) + ratios.append((((s['exp_avg_sq'].double() / (1 - beta2 ** n)).sqrt() + group['eps']) / den).flatten()) + denoms.append(den.flatten()); moments.append(momentum[-1].flatten()) + summaries['prior' if len(group['params']) == 1 else 'generator'] = { + 'lr': group['lr'], 'betas': list(group['betas']), 'amsgrad': group['amsgrad'], + 'denominator': stats(torch.cat(denoms)), 'saved_momentum': stats(torch.cat(moments)), + 'amsgrad_speed_vs_current_second_moment': stats(torch.cat(ratios))} + if not learned: + denominator.append(torch.ones_like(prior)); momentum.append(torch.zeros_like(prior)); learning_rates.append(0.) + assert len(denominator) == len(params) == len(grads) + velocities = {} + for method in ('current_sgd', 'current_frozen_denominator', 'saved_momentum'): + directions = [] + for g, den, m, lr in zip(grads, denominator, momentum, learning_rates): + directions.append(-lr * (g if method == 'current_sgd' else (m if method == 'saved_momentum' else g) / den)) + gd = dict(zip(gp, directions[:-1])) + pdir = directions[-1][:, None, :].expand_as(z.reshape(len(prior), -1, 4)).reshape_as(z) + zero_g = {k: torch.zeros_like(v) for k, v in gp.items()} + gv = tangent(z.detach(), gp, torch.zeros_like(z), gd).detach() + pv = tangent(z.detach(), gp, pdir, zero_g).detach() + velocities[method] = {'G': shape_drift(x, gv, weight, means), 'prior': shape_drift(x, pv, weight, means), + 'combined': shape_drift(x, gv + pv, weight, means), + 'G_velocity': stats(gv), 'prior_velocity': stats(pv)} + # Cross-check G-only, prior-only and combined JVPs by finite differences. + eps = 1e-6 + gd = dict(zip(gp, [-g for g in grads[:-1]])) + pd = -grads[-1][:, None, :].expand(len(prior), len(points), 4).reshape_as(z) + jvp_errors = {} + for name, dz, dg in [('G', torch.zeros_like(z), gd), ('prior', pd, {k: torch.zeros_like(v) for k,v in gp.items()}), ('combined', pd, gd)]: + exact_jvp = tangent(z.detach(), gp, dz, dg).detach() + plus = mlp(z.detach() + eps * dz, {k: v.detach() + eps * dg[k] for k, v in gp.items()}) + minus = mlp(z.detach() - eps * dz, {k: v.detach() - eps * dg[k] for k, v in gp.items()}) + jvp_errors[name] = float(((plus - minus) / (2 * eps) - exact_jvp).abs().max()) + assert jvp_errors[name] < 1e-7 + return {'artifact_root': str(root), 'checkpoint_sha256': sha(state_path), 'saved_panel_sha256': sha(panel_path), + 'request_sha256': sha(root / 'request.json'), 'executed_source': source['origin_commit'], + 'immutable_binding': {'commit': ARCHIVE_COMMIT, 'publication_path': publication_path, + 'publication_sha256': hashlib.sha256(publication_bytes).hexdigest(), + 'publication_git_blob': subprocess.check_output(['git', 'rev-parse', ARCHIVE_COMMIT + ':' + publication_path], text=True).strip(), + 'request_sha256': exact['request'], 'result_sha256': exact['result'], 'raw_matches_pinned_result': True, + 'recipe_prior_target_architecture_optimizer_bindings_checked': True}, + 'source_digest': source['digest'], 'snapshot_files_verified': len(source['files']), + 'model_source_pins': {p: source['files'][p] for p in ('lib/toy_models.py', 'benchmarks/locked_shared/mlp.py')}, + 'recipe': t['recipe'], 'original_recorded_metrics': raw['evidence']['live'], + 'learned_prior': learned, 'critic_on_saved_fake': critic_probe(panels[-1]['samples'].double(), dp, means), + 'actual_loss_generator_multiplier': stats(multiplier), + 'critic_on_target_quadrature': critic_probe(real, dp, means, real_weights), + 'optimizer_roles': summaries, 'adversarial_projected_drift': velocities, + 'unprojected_adversarial_drift': shape_drift(x, free_output_velocity, weight, means), + 'manual_jvp_max_abs_error': jvp_errors, + 'diagnostic_prior_points': len(x), 'target_quadrature_points': len(real)} + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('--order', type=int, default=3) + parser.add_argument('--roles', nargs='+', choices=ROOTS, default=list(ROOTS)) + parser.add_argument('--compact-output', type=Path) + args = parser.parse_args() + started = time.monotonic() + torch.set_num_threads(1) + py, nr, tr = random.getstate(), np.random.get_state(), torch.get_rng_state().clone() + def forbidden(*a, **kw): + raise AssertionError('This saved-state diagnostic forbids random draws, models and optimizers') + for name in ('rand', 'randn', 'randint', 'randperm', 'normal', 'multinomial'): + setattr(torch, name, forbidden) + torch.nn.Module.__init__ = forbidden + torch.optim.Optimizer.__init__ = forbidden + results = {} + for role in args.roles: + print('Inspecting ' + role, flush=True, file=__import__('sys').stderr) + results[role] = inspect(role, ROOTS[role], args.order) + assert random.getstate() == py and np.array_equal(np.random.get_state()[1], nr[1]) + assert np.random.get_state()[0] == nr[0] and np.random.get_state()[2:] == nr[2:] + assert torch.equal(tr, torch.get_rng_state()) + result = {'schema_version': 1, 'scope': 'saved_endpoint_force_conditioning_diagnostic', + 'qualification_input': False, 'training_updates_added': 0, 'random_draws_added': 0, + 'ambient_rng_unchanged': True, 'torch_version': torch.__version__, + 'probe_sha256': sha(__file__), 'quadrature_order': args.order, + 'diagnostic_wall_seconds': time.monotonic() - started, + 'limits': ['Frozen endpoint only; no historical minibatches or critic refitting.', + 'Current-force projection excludes energy auxiliary and momentum; saved-momentum projection includes stored training history.', + 'Frozen Adam denominator is a local diagnostic, not a simulated optimizer step.', + 'Saved momentum is previous-update history projected at the final model, not a next Adam update.', + 'Squared covariance error drift is an analysis proxy; original covariance error drift uses the original relative-Frobenius formula with fixed labels.', + 'Tensor evaluation uses float64 CPU; trained states and original grades retain their original runtime.', + 'Nearest-target labels and quadrature are analysis-only; component boundaries held fixed for directional derivatives.'], + 'cohorts': results} + if args.compact_output: + def compact(value): + if isinstance(value, dict): + return {k: compact(v) for k, v in value.items() if k not in ('per_mode', 'recipe', 'original_recorded_metrics')} + return value + summary = compact(result) + summary['raw_stdout_archive'] = str(ARCHIVE / 'r1r2-failure-diagnosis-20261022' / f'saved-force-order{args.order}.stdout.json') + args.compact_output.write_text(json.dumps(summary, indent=2, sort_keys=True, allow_nan=False) + '\n') + print(json.dumps(result, indent=2, sort_keys=True, allow_nan=False)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/summarize_probes.py b/reports/forge/r1r2-failure-diagnosis-20261022/summarize_probes.py new file mode 100644 index 000000000..9b8b7ee70 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/summarize_probes.py @@ -0,0 +1,76 @@ +"""Summarize deterministic integration sensitivity without changing any grade.""" +import hashlib +import json +from pathlib import Path + +HERE = Path(__file__).resolve().parent +RAW = Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-failure-diagnosis-20261022') + + +def sha(path): + return hashlib.sha256(Path(path).read_bytes()).hexdigest() + + +def main(): + paths = {name: RAW / filename for name, filename in { + 'order3': 'saved-force-order3.stdout.json', 'order5': 'saved-force-order5.stdout.json', + 'mmd_axes': 'mmd-projection-axes.stdout.json', 'mmd_corners': 'mmd-projection-corners.stdout.json'}.items()} + data = {name: json.loads(path.read_text()) for name,path in paths.items()} + for name,d in data.items(): + assert d['training_updates_added'] == d['random_draws_added'] == 0 + assert d['ambient_rng_unchanged'] and not d['qualification_input'] + expected = 'mmd_projection_probe.py' if name.startswith('mmd') else 'saved_force_probe.py' + assert d['probe_sha256'] == sha(HERE / expected) + covariance_keys = ('original_covariance_error_drift', 'radial_variance_drift', 'tangent_variance_drift', 'center_squared_error_drift') + force = {} + for role in data['order3']['cohorts']: + row = {} + for order in ('order3', 'order5'): + d = data[order]['cohorts'][role] + assert d['checkpoint_sha256'] == data['order3']['cohorts'][role]['checkpoint_sha256'] + row[order] = {method: {key: d['adversarial_projected_drift'][method]['combined']['mean_over_modes'][key] for key in covariance_keys} + for method in ('current_frozen_denominator', 'saved_momentum')} + row[order]['unprojected'] = {key: d['unprojected_adversarial_drift']['mean_over_modes'][key] for key in covariance_keys} + row['current_covariance_drift_sign_agrees'] = (row['order3']['current_frozen_denominator']['original_covariance_error_drift'] > 0) == (row['order5']['current_frozen_denominator']['original_covariance_error_drift'] > 0) + force[role] = row + mmd = {} + for panel in ('mmd_axes', 'mmd_corners'): + d = data[panel] + assert d['core_probe_sha256'] == sha(HERE / 'saved_force_probe.py') + assert d['analytic_force_max_abs_error'] < 1e-10 + mmd[panel] = {'finite_panel': d['finite_panel'], 'directions': {}} + for name in ('adversarial', 'mmd', 'combined'): + mmd[panel]['directions'][name] = {projection: {key: d['directions'][name][projection]['mean_over_modes'][key] for key in covariance_keys} + for projection in ('unprojected', 'G', 'prior', 'combined')} + for projection in ('unprojected', 'G', 'prior', 'combined'): + for key in covariance_keys: + values = mmd[panel]['directions'] + assert abs(values['combined'][projection][key] - values['adversarial'][projection][key] - values['mmd'][projection][key]) < 1e-9 + result = {'schema_version': 1, 'scope': 'saved_endpoint_sensitivity_summary', 'qualification_input': False, + 'training_updates_added': 0, 'random_draws_added': 0, + 'source_hashes': {name: sha(HERE / name) for name in ('saved_force_probe.py', 'mmd_projection_probe.py', 'summarize_probes.py')}, + 'raw_archives': {name: {'path': str(path), 'sha256': sha(path)} for name,path in paths.items()}, + 'diagnostic_wall_seconds_by_final_receipt': {name:d['diagnostic_wall_seconds'] for name,d in data.items()}, + 'force_quadrature_sensitivity': force, 'mmd_finite_panel_sensitivity': mmd, + 'interpretation_limits': ['Orders3 and5 are integration diagnostics, not separate seed trials or proof of converged quadrature.', + 'Axes/corners finite panels match Gaussian first/second moments but neither is the original random law.', + 'A directional sign predicts only local frozen-model behavior and does not reject or qualify a trained recipe.', + 'Diagnostic CPU wall times are distinct from original paid training charges; earlier debugging executions are not included.']} + targets = {} + for name, filename, sensitivity_key in [('force', 'saved-force-diagnosis.json', 'quadrature_sensitivity'), + ('mmd', 'mmd-projection-diagnosis.json', 'finite_panel_sensitivity')]: + target = HERE / filename + current = json.loads(target.read_text()) + section = {k: v for k,v in result.items() if k not in ('force_quadrature_sensitivity', 'mmd_finite_panel_sensitivity')} + prefix = 'mmd' if name == 'mmd' else 'order' + section['raw_archives'] = {k:v for k,v in section['raw_archives'].items() if k.startswith(prefix)} + section['diagnostic_wall_seconds_by_final_receipt'] = {k:v for k,v in section['diagnostic_wall_seconds_by_final_receipt'].items() if k.startswith(prefix)} + section['comparisons'] = mmd if name == 'mmd' else force + current[sensitivity_key] = section + target.write_text(json.dumps(current, indent=2, sort_keys=True, allow_nan=False) + '\n') + targets[filename] = sha(target) + print(json.dumps({'outputs': targets, 'status': 'PASS'}, sort_keys=True)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/word-saturation-diagnosis.json b/reports/forge/r1r2-failure-diagnosis-20261022/word-saturation-diagnosis.json new file mode 100644 index 000000000..673960cb2 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/word-saturation-diagnosis.json @@ -0,0 +1,522 @@ +{ + "schema_version": 1, + "scope": "saved_word_atoms_and_declared_target_enumeration_only", + "qualification_input": false, + "qualification_reuse": false, + "training_updates": 0, + "random_draws": 0, + "model_constructions": 0, + "device": "cpu", + "torch": "2.14.0+cu130", + "source_digest": "a5eafc73e4c4a995cc388b9be00bea5aec289fd35863099e369008e7def0ab14", + "source_commit": "f3631bf94f457e0325f6992aa1252d9ac3f3f582", + "request_sha256": "f1f9dc109594797815d7c01b2f7b05650512317584051b79d1da0f01e3974e5b", + "publication_sha256": "bd7f939d195c7e35f615412e4f1aced921a806f4da08ba615350e573e7b0678c", + "immutable_publication_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "publication_matches_immutable_archive": true, + "certificate_proofs": { + "4e6ef24d55cf4b28b23a1be665a1f836": { + "published_certificate_sha256": { + "evidence": "e14cacf50f4c1593427f60be214a9d4c1efa3234ff1960c538923553ce1178a3", + "request": "e32a1ad842114a695071c58b43db3bf77010ecc636e86e7f8910e1eed8de2ff1", + "result": "176394cc35e2b518cf3e420218fcfd092d141a44ad924b8bdda9212dc71ec58b" + }, + "local_request_and_result_bytes_match": true, + "raw_result_matches_published_certificate": true, + "raw_result_file_sha256": "52d38e30688008e7458478298896ebb5df661548a6a61b8fb9d94c4d4148b855", + "raw_result_canonical_content_sha256": "295a53be99cd455d5de0008e97ad39205139d0b208a3e830dcc1fcbaae71cb88" + }, + "d765aa2da2d1434b9234f7114309c60e": { + "published_certificate_sha256": { + "evidence": "2bb7d60e00db8e7dc242643546129a9a7711551cda057b041dec3be53766be63", + "request": "f1f9dc109594797815d7c01b2f7b05650512317584051b79d1da0f01e3974e5b", + "result": "bc36ad6db70b4a3553bf69abe75d3d63f696199ae70369b1c53e4962c8413ee9" + }, + "local_request_and_result_bytes_match": true, + "raw_result_matches_published_certificate": true, + "raw_result_file_sha256": "eb007cf71275d31dd7739e8a0bb2a473514bef0563f4b3933b3c5ec3104518f0", + "raw_result_canonical_content_sha256": "c474a234ca8e07f5e7662d2bfb228f806727504fc0a48a96294d8b863a6a1fe3" + } + }, + "saved_recipe_architecture_and_declared_target_checks": true, + "acquisition_checkpoint_proof": { + "completed_steps": 2501, + "path": "acquired-state.pt", + "selection": "earliest_confirmed_passing_state", + "sha256": "b47e160191b08d81e7789262d5b8cdc7da28aab3ec2108f0c4ad5b23b2e896e7", + "state_sha256": "604a14fd5b5e4c872a5d3bfdabc90aa64619672e5b0b273135ebfce13171b6e7", + "training_state_sha256": "fa5299b62ab073179404bba839adcf74a754403b23619aef86fe12e51d100fac" + }, + "hold_endpoint_checkpoint_proof": { + "artifact_manifest_sha256": "5f6d441fb57430e8170b99e267d819db2898d7b0ea85aab526d1e0461d7fba40", + "artifact_root": "/mnt/ml7tb/ParticleGAN-forge/recipe-owned-priors-20261010/queue/recipe-prior-refactor-selected-leaders-v1/d765aa2da2d1434b9234f7114309c60e/provenance", + "bytes": 1953498, + "completed_steps": 6501, + "path": "provenance-state.pt", + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sha256": "d7fcac4c0fd3cf5dcaa9c24aae57e1c34de1c07efa4ce356eaad3444d989bf58", + "state_sha256": "c7dfa33ec24a1ed26de89cb3187771c5b82f2ba521c411968f611910d6d48f13" + }, + "observed_records_sha256": "cebb9c648d767116fa155a52b6f84c6f3c09b734d7034b15cb6ef9126349b0c2", + "source_files_verified": 1206, + "used_source_sha256": { + "benchmarks/toy_audit/api_images.py": "a79aafb643182d707796b25b2b3abec3dd3c7e452c615a7cf68274f157a778ea", + "particlegan/gan_loss.py": "f73cc593aef5d7507dc1a468ee261cc186c8dbfbee3a0aad769b6e252c2c143f" + }, + "recipe_id": "recipe-prior-refactor-r1r2-v1", + "candidate_revision": "594012d6f37dcf9bb8d8c2e9c84085cfcd896d5d44843496901fb5d0019c617a", + "acquisition_parent_attempt": "4e6ef24d55cf4b28b23a1be665a1f836", + "hold_attempt": "d765aa2da2d1434b9234f7114309c60e", + "protocol": "Enumerate five saved prior rows and declared five one-hot words. Public joint loss averages all25 independent real/fake combinations. CPU float32 reconstruction agrees with original CUDA observer within2e-5; float64 is a separate numerical diagnostic.", + "numerical_fixture": { + "metric": "maximum absolute functional-vs-saved reconstruction probability error", + "threshold": 2e-05, + "status": "PASS" + }, + "gradient_obstruction_threshold": 1e-06, + "original_grades_preserved": { + "word_smoke": "PASS acquired at2501", + "word_hold": "FAIL" + }, + "loss_path": "Frozen WordFixture trains joint adversarial generator/encoder plus zero prior regularization; reconstruction is scored, not an explicit optimized reconstruction loss.", + "limitations": "Endpoint forces omit minibatch realizations, future critic/optimizer changes and causal history. Reconstruction CE/clamp gradients are arithmetic diagnostics, not the trained objective or a tested repair. No target sampling or task regrading.", + "states": [ + { + "path": "/mnt/ml7tb/ParticleGAN-forge/recipe-owned-priors-20261010/queue/recipe-prior-refactor-selected-leaders-v1/4e6ef24d55cf4b28b23a1be665a1f836/acquisition/acquired-state.pt", + "checkpoint_sha256": "b47e160191b08d81e7789262d5b8cdc7da28aab3ec2108f0c4ad5b23b2e896e7", + "complete_state_sha256": "604a14fd5b5e4c872a5d3bfdabc90aa64619672e5b0b273135ebfce13171b6e7", + "consumed_streams_sha256": "edba04012a9e67d7a93ecb992861a6c50f50f73f8dd0e341dc0dccaca62a666c", + "step": 2501, + "observer_step": 2501, + "cpu_functional_vs_saved_cuda_reconstruction_max_error": 2.384185791015625e-07, + "original_observer_metrics": { + "sample_count": 1024, + "quality_fraction": 1.0, + "mass_tv": 0.035546875000000006, + "modes": 5, + "reconstruction_exact": 1, + "minimum_reconstruction_token_probability": 0.9888484477996826, + "reconstruction_nll": 0.001159843933116973, + "mass_apple": 0.201171875, + "mass_grape": 0.1904296875, + "mass_lemon": 0.234375, + "mass_melon": 0.1923828125, + "mass_berry": 0.181640625, + "completed_steps": 2501.0, + "served_averaged": 0.0, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0 + }, + "diagnostics": [ + { + "dtype": "torch.float32", + "generated_atom_strings": [ + "melon_", + "lemon_", + "grape_", + "apple_", + "berry_" + ], + "reconstructed_strings": [ + "apple_", + "grape_", + "lemon_", + "melon_", + "berry_" + ], + "generated_logits": { + "min": -58.96307373046875, + "mean": -6.935764312744141, + "max": 48.78609085083008 + }, + "generated_top_two_logit_gap": { + "min": 6.873710632324219, + "mean": 14.961153984069824, + "max": 57.14293670654297 + }, + "generated_exact_zero_probabilities": 0, + "generated_exact_unit_probabilities": 8, + "reconstructed_logits": { + "min": -53.1735725402832, + "mean": -6.954812049865723, + "max": 46.16109085083008 + }, + "reconstructed_exact_zero_probabilities": 0, + "minimum_correct_reconstruction_probability_by_word": [ + 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"arale_", + "grape_", + "appled" + ], + "reconstructed_strings": [ + "appled", + "grape_", + "mrlpn_", + "mrlpz_", + "grape_" + ], + "generated_logits": { + "min": -374.9747619628906, + "mean": -8.922853469848633, + "max": 404.7106628417969 + }, + "generated_top_two_logit_gap": { + "min": 7.828121185302734, + "mean": 79.58334350585938, + "max": 321.82366943359375 + }, + "generated_exact_zero_probabilities": 458, + "generated_exact_unit_probabilities": 27, + "reconstructed_logits": { + "min": -706.6181640625, + "mean": -31.070650100708008, + "max": 755.3851928710938 + }, + "reconstructed_exact_zero_probabilities": 705, + "minimum_correct_reconstruction_probability_by_word": [ + 1.6747232281136865e-30, + 1.0, + 0.0, + 0.0, + 0.0 + ], + "joint_generator_loss": 2.1136202812194824, + "fake_scores": [ + -1.4567046165466309, + -0.6410638689994812, + -0.8152187466621399, + -0.6545318365097046, + -0.5792389512062073 + ], + "real_scores": [ + 0.6025921106338501, + -0.6461785435676575, + 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0.17296676740276923 + ], + "logit_gradient_norm": 3.507635997963031e-05, + "probability_to_logit_gradient_ratio": 9.801212703985322e-05, + "probability_to_logit_gradient_ratio_by_atom": [ + 1.0502481801205626e-11, + 5.58482217864934e-13, + 7.236115772402784e-07, + 3.0843866965930566e-17, + 0.00020279160013694553 + ], + "atoms_with_gradient_ratio_below_1e_minus_6": 4, + "generator_parameter_gradient_norm": 0.0008866421989925405, + "encoder_parameter_gradient_norm": 0.12224531858765392, + "prior_gradient_norm": 0.01988836111670878, + "analytic_softmax_backward_max_error": 2.7742023088472845e-17, + "prior_gradient_via_generator_norm": 0.0004305700286667081, + "prior_gradient_direct_joint_latent_norm": 0.019750661350211172, + "prior_generator_to_direct_gradient_ratio_by_atom": [ + 1.517267821592554e-07, + 6.012456213372521e-10, + 0.005962878575312139, + 1.0909183036675936e-13, + 0.070558664391978 + ], + "diagnostic_reconstruction_clamped_nll": 7.629292144368502, + "diagnostic_reconstruction_stable_cross_entropy": 135.82382232194223, + "diagnostic_reconstruction_clamped_gradient_norm": 0.06666627333247402, + "diagnostic_reconstruction_stable_ce_gradient_norm": 0.16996716253797114, + "diagnostic_reconstruction_clamped_to_stable_gradient_ratio": 0.3922303128263413, + "reconstruction_tokens_below_scorer_clamp": 11 + } + ] + } + ], + "global_rng_states_unchanged": true, + "reproducer_sha256": "d10d31dd953b525d4441af308beada7f5253ce184e8b3de06cc2e8eced6a737d" +} diff --git a/reports/forge/r1r2-failure-diagnosis-20261022/word_saturation_probe.py b/reports/forge/r1r2-failure-diagnosis-20261022/word_saturation_probe.py new file mode 100644 index 000000000..516d51484 --- /dev/null +++ b/reports/forge/r1r2-failure-diagnosis-20261022/word_saturation_probe.py @@ -0,0 +1,261 @@ +"""Inspect two frozen word states without training, model construction or draws. + +Run from repository root: python reports/forge/r1r2-failure-diagnosis-20261022/word_saturation_probe.py +Five saved prior atoms and the five declared one-hot targets are diagnostic +enumerations, never replacement metric panels or historical training batches. +""" +from __future__ import annotations + +import hashlib +import importlib.util +import json +from pathlib import Path +import random +import subprocess +import sys + +import numpy as np +import torch +import torch.nn.functional as F + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT)) +from experiments.forge.state import state_digest + +QUEUE = Path('/mnt/ml7tb/ParticleGAN-forge/recipe-owned-priors-20261010/queue') +CAMPAIGN = QUEUE / 'recipe-prior-refactor-selected-leaders-v1' +HOLD_ID = 'd765aa2da2d1434b9234f7114309c60e' +ACQUIRED_ID = '4e6ef24d55cf4b28b23a1be665a1f836' +PUBLICATION = ROOT / 'reports/forge/recipe-prior-refactor/publication/results.json' +ARCHIVE_COMMIT = '2cf7b0a4c796e29ace6cca12d2e553ad67211b5c' + + +def sha(path): + return hashlib.sha256(path.read_bytes()).hexdigest() + + +def mlp(x, saved, indices): + x = x.flatten(1) + for index in indices: + x = F.linear(x, saved[f'net.{index}.weight'], saved[f'net.{index}.bias']) + if index != indices[-1]: + x = F.leaky_relu(x, .2) + return x + + +def summary(x): + return dict(min=float(x.min().detach()), mean=float(x.mean().detach()), + max=float(x.max().detach())) + + +def decoded(x): + chars = 'abcdefghijklmnopqrstuvwxyz_ ' + return [''.join(chars[int(v)] for v in row) for row in x.argmax(1)] + + +def norm(x): + return float(torch.linalg.vector_norm(x.detach())) + + +def analyze(path, observed, loss_api, target): + packet = torch.load(path, map_location='cpu', weights_only=True) + saved = packet['fixture']['api_state'] + original_streams = state_digest(packet['streams']) + models = saved['models'] + assert torch.equal(target, observed['views'][0]['target']) + prior32 = models['prior']['z'].detach() + encoded32 = mlp(target, models['encoder'], (1, 3, 5)) + reconstruction32 = mlp(encoded32, models['generator'], (0, 2, 4)).reshape(5, 28, 6).softmax(1) + stored_reconstruction = observed['views'][0]['samples'] + residual = float((reconstruction32 - stored_reconstruction).abs().max()) + # CPU functional arithmetic versus the original CUDA observer, not a regrade. + assert residual < 2e-5, residual + dtype_rows = [] + for dtype in (torch.float32, torch.float64): + generator = {name: value.to(dtype).clone().requires_grad_(True) + for name, value in models['generator'].items()} + encoder = {name: value.to(dtype).clone().requires_grad_(True) + for name, value in models['encoder'].items()} + critic = {name: value.to(dtype) for name, value in models['critic'].items()} + prior = prior32.to(dtype).clone().requires_grad_(True) + words = target.to(dtype) + encoded = mlp(words, encoder, (1, 3, 5)) + logits = mlp(prior, generator, (0, 2, 4)).reshape(5, 28, 6) + probabilities = logits.softmax(1) + fake_score = mlp(torch.cat((probabilities.flatten(1), prior), 1), critic, (0, 2, 4))[:, 0] + real_score = mlp(torch.cat((words.flatten(1), encoded), 1), critic, (0, 2, 4))[:, 0] + # Exact uniform independent five-by-five atom objective. No pairing draw. + objective = loss_api.joint_g_loss(fake_score[:, None].expand(5, 5).flatten(), + real_score[None, :].expand(5, 5).flatten()) + grad_probability, grad_logits = torch.autograd.grad( + objective, (probabilities, logits), retain_graph=True) + expected = probabilities * (grad_probability - (probabilities * grad_probability).sum(1, keepdim=True)) + softmax_backward_error = float((expected - grad_logits).abs().max().detach()) + assert softmax_backward_error < (1e-9 if dtype == torch.float64 else 1e-6) + parameters = [*generator.values(), *encoder.values(), prior] + derivatives = torch.autograd.grad(objective, parameters, retain_graph=True) + prior_via_generator = torch.autograd.grad(probabilities, prior, + grad_outputs=grad_probability.detach(), retain_graph=True)[0] + prior_direct = derivatives[-1] - prior_via_generator + gnorm = sum(norm(v)**2 for v in derivatives[:len(generator)])**.5 + enorm = sum(norm(v)**2 for v in derivatives[len(generator):-1])**.5 + pnorm = norm(derivatives[-1]) + recon_logits = mlp(encoded, generator, (0, 2, 4)).reshape(5, 28, 6) + recon = recon_logits.softmax(1) + correct = (recon * words).sum(1) + clamped_nll = -correct.clamp_min(1e-8).log().mean() + stable_cross_entropy = -(recon_logits.log_softmax(1) * words).sum(1).mean() + clamp_gradient = torch.autograd.grad(clamped_nll, recon_logits, retain_graph=True)[0] + ce_gradient = torch.autograd.grad(stable_cross_entropy, recon_logits)[0] + top2 = logits.topk(2, dim=1).values + probability_force_by_atom = grad_probability.flatten(1).norm(dim=1) + assert bool((probability_force_by_atom > 0).all()) + ratio_by_atom = grad_logits.flatten(1).norm(dim=1) / probability_force_by_atom + dtype_rows.append(dict( + dtype=str(dtype), generated_atom_strings=decoded(probabilities), + reconstructed_strings=decoded(recon), + generated_logits=summary(logits), generated_top_two_logit_gap=summary(top2[:, 0] - top2[:, 1]), + generated_exact_zero_probabilities=int((probabilities == 0).sum()), + generated_exact_unit_probabilities=int((probabilities == 1).sum()), + reconstructed_logits=summary(recon_logits), + reconstructed_exact_zero_probabilities=int((recon == 0).sum()), + minimum_correct_reconstruction_probability_by_word=correct.amin(1).detach().tolist(), + joint_generator_loss=float(objective.detach()), fake_scores=fake_score.detach().tolist(), + real_scores=real_score.detach().tolist(), probability_gradient_norm=norm(grad_probability), + probability_gradient_norm_by_atom=probability_force_by_atom.detach().tolist(), + logit_gradient_norm=norm(grad_logits), probability_to_logit_gradient_ratio=norm(grad_logits)/norm(grad_probability), + probability_to_logit_gradient_ratio_by_atom=ratio_by_atom.detach().tolist(), + atoms_with_gradient_ratio_below_1e_minus_6=int((ratio_by_atom < 1e-6).sum()), + generator_parameter_gradient_norm=gnorm, encoder_parameter_gradient_norm=enorm, + prior_gradient_norm=pnorm, analytic_softmax_backward_max_error=softmax_backward_error, + prior_gradient_via_generator_norm=norm(prior_via_generator), + prior_gradient_direct_joint_latent_norm=norm(prior_direct), + prior_generator_to_direct_gradient_ratio_by_atom=(prior_via_generator.norm(dim=1)/prior_direct.norm(dim=1).clamp_min(torch.finfo(dtype).tiny)).detach().tolist(), + diagnostic_reconstruction_clamped_nll=float(clamped_nll.detach()), + diagnostic_reconstruction_stable_cross_entropy=float(stable_cross_entropy.detach()), + diagnostic_reconstruction_clamped_gradient_norm=norm(clamp_gradient), + diagnostic_reconstruction_stable_ce_gradient_norm=norm(ce_gradient), + diagnostic_reconstruction_clamped_to_stable_gradient_ratio=norm(clamp_gradient)/norm(ce_gradient), + reconstruction_tokens_below_scorer_clamp=int((correct < 1e-8).sum()))) + assert original_streams == state_digest(packet['streams']) + return dict(path=str(path), checkpoint_sha256=sha(path), + complete_state_sha256=state_digest(packet), consumed_streams_sha256=original_streams, + step=saved['completed_steps'], observer_step=observed['step'], + cpu_functional_vs_saved_cuda_reconstruction_max_error=residual, + original_observer_metrics=observed['metrics'], diagnostics=dtype_rows) + + +def main(): + torch.set_num_threads(1) + torch.use_deterministic_algorithms(True) + rng_before = (random.getstate(), np.random.get_state(), torch.get_rng_state().clone()) + hold = CAMPAIGN / HOLD_ID + request = json.loads((hold / 'request.json').read_text())['request'] + assert request['candidate']['recipe_overrides']['loss'] == 'relativistic' + source = QUEUE / 'snapshots' / request['source']['digest'] + for name, expected in request['source']['files'].items(): + assert sha(source / name) == expected, name + public_loss_path = source / 'particlegan/gan_loss.py' + spec = importlib.util.spec_from_file_location('frozen_word_probe_loss', public_loss_path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + loss = module.GANLoss('relativistic') + publication = json.loads(PUBLICATION.read_text()) + assert subprocess.check_output(['git', 'show', ARCHIVE_COMMIT + ':' + str(PUBLICATION.relative_to(ROOT))], cwd=ROOT) == PUBLICATION.read_bytes() + certificate_proofs, raw_results = {}, {} + for attempt_id in (ACQUIRED_ID, HOLD_ID): + expected = publication['exact_certificate_hashes'][attempt_id] + original = QUEUE.parent / 'certificates' / attempt_id + for kind, digest in expected.items(): + assert sha(original / (kind + '.json')) == digest + for kind in ('request', 'result'): + assert sha(CAMPAIGN / attempt_id / (kind + '.json')) == expected[kind] + result = json.loads((original / 'result.json').read_text()) + raw_path = CAMPAIGN / attempt_id / 'raw-result.json' + raw = json.loads(raw_path.read_text()) + attempt_request = json.loads((original / 'request.json').read_text())['request'] + assert attempt_request['source']['digest'] == request['source']['digest'] + assert attempt_request['candidate_revision'] == request['candidate_revision'] + row = next(row for row in publication['certified_results'] if row['attempt_id'] == attempt_id) + assert raw == result['raw']['result'] + raw_content_hash = hashlib.sha256(json.dumps(raw, sort_keys=True, separators=(',', ':')).encode()).hexdigest() + assert raw_content_hash == row['independent_grading']['raw_result_sha256'] + raw_results[attempt_id] = raw + certificate_proofs[attempt_id] = dict(published_certificate_sha256=expected, + local_request_and_result_bytes_match=True, + raw_result_matches_published_certificate=True, + raw_result_file_sha256=sha(raw_path), raw_result_canonical_content_sha256=raw_content_hash) + published = next(row for row in publication['certified_results'] if row['attempt_id'] == HOLD_ID) + endpoint = hold / 'provenance/provenance-state.pt' + assert sha(endpoint) == published['provenance_checkpoint']['sha256'] + assert state_digest(torch.load(endpoint, map_location='cpu', weights_only=True)) == published['provenance_checkpoint']['state_sha256'] + records_path = hold / 'observed-records.pt' + assert sha(records_path) == raw_results[HOLD_ID]['evidence']['saved_observer_outputs']['sha256'] + records = torch.load(records_path, map_location='cpu', weights_only=True) + acquired = CAMPAIGN / ACQUIRED_ID / 'acquisition/acquired-state.pt' + acquired_proof = raw_results[ACQUIRED_ID]['evidence']['checkpoint'] + assert sha(acquired) == acquired_proof['sha256'] == raw_results[HOLD_ID]['evidence']['continuity']['parent_checkpoint_sha256'] + assert state_digest(torch.load(acquired, map_location='cpu', weights_only=True)) == acquired_proof['state_sha256'] + acquired_packet = torch.load(acquired, map_location='cpu', weights_only=True) + endpoint_packet = torch.load(endpoint, map_location='cpu', weights_only=True) + assert acquired_packet['fixture']['recipe'] == endpoint_packet['fixture']['recipe'] + assert acquired_packet['fixture']['api_state']['recipe'] == endpoint_packet['fixture']['api_state']['recipe'] + actual_recipe = endpoint_packet['fixture']['recipe'] + for name, value in dict(batch_size=256, z_dim=2, num_particles=5, + prior_kind='particles', sigma_rel=0., standardize=False, + total_steps=20000, prior_reg=0., input_noise_std=0., output_noise_std=0., ema_decay=0., + reg_arm='a_r1r2', optimizer_family='adam').items(): + assert actual_recipe[name] == value + assert actual_recipe.get('kinetic_transport_weight', 0.) == 0. + assert actual_recipe.get('kinetic_transport_local_weight', 0.) == 0. + assert 'component_transport' not in endpoint_packet['fixture'] + declared_prior = request['tasks']['five_word_joint_hold']['execution']['prior'] + assert all(declared_prior[name] == value for name,value in + dict(kind='particle_cloud', sigma=0., standardize=False).items()) + definition = request['tasks']['five_word_joint_hold']['execution']['host_definition'] + assert definition['words'] == ['apple', 'grape', 'lemon', 'melon', 'berry'] + assert definition['characters'] == 'abcdefghijklmnopqrstuvwxyz_ ' and definition['length'] == 6 + target = torch.zeros(5,28,6) + for row, word in enumerate(definition['words']): + for position, char in enumerate(word + '_'): + target[row, definition['characters'].index(char), position] = 1 + for packet in (acquired_packet, endpoint_packet): + assert tuple(packet['fixture']['api_state']['models']['prior']['z'].shape) == (5,2) + for role, indices, widths in [('generator',(0,2,4),(2,64,128,168)), + ('encoder',(1,3,5),(168,128,64,2)),('critic',(0,2,4),(170,256,128,1))]: + for index, inputs, outputs in zip(indices,widths[:-1],widths[1:]): + assert tuple(packet['fixture']['api_state']['models'][role][f'net.{index}.weight'].shape) == (outputs,inputs) + assert records[0]['step'] == 2501 and records[-1]['step'] == 6501 + result = dict(schema_version=1, scope='saved_word_atoms_and_declared_target_enumeration_only', + qualification_input=False, qualification_reuse=False, training_updates=0, + random_draws=0, model_constructions=0, device='cpu', torch=str(torch.__version__), + source_digest=request['source']['digest'], source_commit=request['source']['origin_commit'], + request_sha256=sha(hold/'request.json'), publication_sha256=sha(PUBLICATION), + immutable_publication_commit=ARCHIVE_COMMIT, publication_matches_immutable_archive=True, + certificate_proofs=certificate_proofs, saved_recipe_architecture_and_declared_target_checks=True, + acquisition_checkpoint_proof=acquired_proof, + hold_endpoint_checkpoint_proof=published['provenance_checkpoint'], + observed_records_sha256=sha(records_path), source_files_verified=len(request['source']['files']), + used_source_sha256={name: request['source']['files'][name] for name in + ('benchmarks/toy_audit/api_images.py', 'particlegan/gan_loss.py')}, + recipe_id=request['candidate']['id'], candidate_revision=request['candidate_revision'], + acquisition_parent_attempt=ACQUIRED_ID, hold_attempt=HOLD_ID, + protocol='Enumerate five saved prior rows and declared five one-hot words. Public joint loss averages all25 independent real/fake combinations. CPU float32 reconstruction agrees with original CUDA observer within2e-5; float64 is a separate numerical diagnostic.', + numerical_fixture={'metric':'maximum absolute functional-vs-saved reconstruction probability error', + 'threshold':2e-5,'status':'PASS'}, + gradient_obstruction_threshold=1e-6, + original_grades_preserved=dict(word_smoke='PASS acquired at2501',word_hold='FAIL'), + loss_path='Frozen WordFixture trains joint adversarial generator/encoder plus zero prior regularization; reconstruction is scored, not an explicit optimized reconstruction loss.', + limitations='Endpoint forces omit minibatch realizations, future critic/optimizer changes and causal history. Reconstruction CE/clamp gradients are arithmetic diagnostics, not the trained objective or a tested repair. No target sampling or task regrading.', + states=[analyze(acquired,records[0],loss,target),analyze(endpoint,records[-1],loss,target)]) + assert rng_before[0] == random.getstate() + after = np.random.get_state() + assert rng_before[1][0] == after[0] and np.array_equal(rng_before[1][1],after[1]) and rng_before[1][2:] == after[2:] + assert torch.equal(rng_before[2],torch.get_rng_state()) + result['global_rng_states_unchanged'] = True + result['reproducer_sha256'] = sha(Path(__file__)) + print(json.dumps(result,indent=2,allow_nan=False)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-local-repair-20261022/README.md b/reports/forge/r1r2-local-repair-20261022/README.md new file mode 100644 index 000000000..0e9ca13f2 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/README.md @@ -0,0 +1,166 @@ +# R1/R2 saved-state repair prerequisites + +Output-tangent geometry is a supported research hypothesis, **not a trained +repair**. It prevents the earlier fixed-MMD force reversal on the saved NS +control. Exact original 128-example batches weaken the population result: radial +spread improves, but tangent variance increases slightly. A complete, affordable +global recipe remains unestablished. No trainer was advanced, no gate was changed, +and no independent random stream or seed experiment was added. + +The [current technique inventory](../technique-inventory.md) remains the only +generated leaderboard. These derivative comparisons are analysis cohorts, not +new task results. The [source-bound summary](repair-prerequisites.json) pins raw +artifacts, drivers, negative findings and numerical checks; the +[preceding diagnosis](../r1r2-failure-diagnosis-20261022/README.md) binds the +original failure and the 34 concluded global repairs. + +## One geometry hypothesis survives the population proxy + +Let `J` be the Jacobian of generated outputs with respect to G and learned prior +locations, and `P` the saved positive AMS diagonal inverse. The desired output +velocity `v` is negative batch size times the output gradient of native NS plus +the previously declared fixed seven-width MMD, at coefficient 1. Solve + +```text +(J P Jᵀ + λ I) u = lr v +Δθ = P Jᵀ u +λ = .01 * trace(J P Jᵀ) / number_of_output_coordinates +``` + +This changes G/prior update geometry and adds the declared MMD. D, positive +R1/R2, prior learning policy, initial distribution/capacity and all task contracts +would remain explicit. The probe uses the fixed archived widths +(.0625,.125,.25,.5,1,2,4), lr 0.0085 and a relative residual requirement 1e-4. +No coefficient or damping search was performed. CG with 32 iterations and PCG with 256 iterations did not meet the +numerical requirement and remain local rejected solver receipts. Extending the +same equation's numerical allowance to 1024 iterations gives accepted solutions. + +The large-panel target expectation integrates the original 16-Gaussian target +law. Fake outputs use 2048 axial or 4096 corner cubature points from all 256 saved +prior rows. These integration rules match initial Gaussian first/second moments; +they are not new training or evaluation sampling laws. + +| Original-covariance-error directional derivative | Axial panel | Corner panel | +| --- | ---: | ---: | +| NS+MMD, ordinary saved AMS projection | +.160265 | +.171174 | +| NS+MMD, output-tangent geometry | -.012520 | -.012324 | + +With tangent geometry, center squared error decreases, underwide radial variance +increases and overwide tangent variance decreases on both panels. CG takes 555 +and 794 iterations, respectively. True relative residuals are 9.60e-5/9.63e-5, +and independently checked analytic kernel diagonals differ by less than 4e-16. +The [population receipt](gn-force-diagnosis.json) retains its limits. CPU float64 +wall time is 4.47/18.82 seconds, distinct from paid training charges. + +## Original 128-example draws give a mixed result + +[Historical replay](replay_training_batches.py) reproduces all 1,600 real target +batches and both 3,200-draw prior-index/noise streams. Both original target-role +digests and all three terminal generator states match exactly. It uses isolated +clones of the receipt-bound streams, retains the original protocol seed 0, and +leaves ambient Python/NumPy/CPU/CUDA RNG states unchanged. It reconstructs draw +identities, not intermediate trained models. + +The proxy evaluates original G-phase draws 1585–1600 with the one frozen endpoint +G/prior/D. Each force uses its actual 128 real examples and 128 original latent +row/noise identities. MMD now uses empirical targets, with no task centers or +labels in its force. The table reports the arithmetic mean of 16 independently +computed hypothetical parameter directions on the two fixed scoring panels. +No resulting direction is applied to a trained state. + +| Mean directional derivative, axial / corner panel | NS-only tangent | NS+MMD tangent | +| --- | ---: | ---: | +| Original covariance error | -.000171 / -.000173 | -.000092 / -.000105 | +| Radial variance, initially too small | -.000022 / -.000008 | +.000755 / +.000774 | +| Tangent variance, initially too large | -.000266 / -.000260 | +.000161 / +.000145 | +| Center squared error | -.001517 / -.001450 | -.006964 / -.006874 | + +All 32 objective/batch solves pass the 1e-4 true-residual requirement, requiring +109–134 iterations. Independent diagonal checks and an empirical-MMD derivative +check also pass. The [batch receipt](gn-batch-diagnosis.json) retains the original +stream identities and individual solve results. Repeating the scoring panel is +integration sensitivity of the same 16 directions, not an independent trial. + +GN improves covariance and avoids the strong MMD projection regression. MMD +changes the radial direction favorably, while its small tangent expansion and +weak covariance improvement remain contrary evidence. NS-only GN does not solve +the radial compression. Neither result establishes a full density repair. + +The generic solver's separate float32 CUDA prototype also lacks a demonstrated +cheap, accurate all-host implementation. These accurate CPU float64 results do +not transfer its numerical or runtime acceptance. A truncated public policy is +a distinct candidate, and its word task must retain the original 900-second +allowance rather than shortening or omitting it. + +## Rejected data-only auxiliary prerequisites + +Three fixed auxiliary probes also retain their negative findings. Their recipe +functions receive only real/fake coordinates; target means appear only in the +separate cubature fixture and shape diagnostic. + +| Auxiliary at weight 1 | Saved projected result | +| --- | --- | +| Existing relative local kernel-feature means | Covariance improves, but center squared-error derivative becomes strongly positive. | +| Mass-normalized conditional first/full-covariance moments | Radial variance contracts sharply; centering changes sign across panels. No runtime helper is adopted. | +| Local target-minus-fake KDE scores | Output-space covariance improves, but ordinary G/AMS projection reverses it and expands tangent variance. | + +These are saved prerequisites, not trained FAILs. Full per-mode diagnostics and +intermediate numerical receipts remain outside Git at +`/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022`. + +## Fixed block approximation is rejected + +The cheaper Euclidean primal block-Kronecker approximation retains the full +scalar NS+empirical-MMD gradient, exact sampled-prior row blocks and fixed .01 +trace-normalized damping. On the same 16 original batches, covariance error, +radial variance and centering improve, but tangent variance increases on both +panels (+.001278 / +.001108). This violates its declared prerequisite. The +[readout](block-metric-prerequisite.md), [receipt](block-metric-diagnosis.json) +and [source](block_metric_probe.py) retain the failed sign, dense numerical +oracles, source/stream bindings and local cost. No tuning or training followed. +This approximation uses a different metric from the earlier output solve. + +## DDGAN remains a conditional and final failure + +The original native NS control also fails the full DDGAN Gaussian-chain +protocol: final CDF .32094 and step-1 CDF .52395/.29191, with zero joint passing +observations. High-noise reverse kernels mask missing clean-predictor variance. +A separate saved-field probe finds mean correction opposed on seven of eight +fixed contexts at both quadrature orders. Stored critic momentum improves all +eight alignments locally; fresh R1+R2 and R1-only critic directions worsen the +remaining step-1 context. These controls do not establish a momentum or R2 +repair. The [DDGAN readout](ddgan-diagnosis.md), [compact receipt](ddgan-diagnosis.json) +and [source](ddgan_critic_field_probe.py) preserve the exact original cohort and +negative controls. No new training, samples or qualification results were added. + +## Reproduce + +Run from the repository root with PyTorch 2.14.0+cu130. CUDA 0 is required only to +replay the original CUDA generator algorithms; the force/solve probes use one +CPU thread and float64. All trained checkpoints and source snapshots remain +under their original archive identities. + +```sh +REPAIR_ARTIFACTS=/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022 +PROBES=reports/forge/r1r2-local-repair-20261022 +for panel in axes corners; do + python "$PROBES/gn_force_probe.py" --max-iterations 1024 --panel "$panel" \ + > "$REPAIR_ARTIFACTS/gn-force-pcg1024-$panel.stdout.json" \ + 2> "$REPAIR_ARTIFACTS/gn-force-pcg1024-$panel.run.log" + python "$PROBES/gn_batch_probe.py" --panel "$panel" \ + > "$REPAIR_ARTIFACTS/gn-batch-$panel.stdout.json" \ + 2> "$REPAIR_ARTIFACTS/gn-batch-$panel.run.log" + for mechanism in local conditional score; do + python "$PROBES/local_repair_probe.py" --panel "$panel" --mechanism "$mechanism" \ + > "$REPAIR_ARTIFACTS/final-$mechanism-$panel.stdout.json" \ + 2> "$REPAIR_ARTIFACTS/final-$mechanism-$panel.run.log" + done +done +python "$PROBES/summarize_repair.py" > "$REPAIR_ARTIFACTS/summary-validation.log" 2>&1 +tail -F "$REPAIR_ARTIFACTS/gn-batch-axes.run.log" +``` + +For a read-only receipt/source check using retained raw outputs, run only the +summary command. It adds no gradients or RNG replay. Preserve all historical +qualification results; resolve accurate bounded runtime and all-host contracts +before admitting this geometry hypothesis to paid training. diff --git a/reports/forge/r1r2-local-repair-20261022/block-metric-diagnosis.json b/reports/forge/r1r2-local-repair-20261022/block-metric-diagnosis.json new file mode 100644 index 000000000..f4bcad346 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/block-metric-diagnosis.json @@ -0,0 +1,871 @@ +{ + "A": "mean of augmented-input outer products; bias in same affine block", + "B": "mean of output-Jacobian-to-preactivation Gram matrices, summed output coordinates", + "MMD_coefficient": 1, + "MMD_widths": [ + 0.0625, + 0.125, + 0.25, + 0.5, + 1.0, + 2.0, + 4.0 + ], + "ambient_rng_unchanged": true, + "analysis_checkout_commit": "df196bf43dc50c166a6e77491fa5fc7a75eae323", + "batches": [ + { + "full_objective": 0.708488702762682, + "layers": [ + { + "exact_block_trace": 27.08232743313533, + "factorized_block_trace": 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"original_covariance_error_drift": -0.0002089443332144991, + "radial_variance_drift": 0.004042828783576774, + "radial_variance_ratio": 0.2844059218266466, + "tangent_variance_drift": 0.001107962542459674, + "tangent_variance_ratio": 3.0738670840643323 + }, + "radial_expanding_modes": 14, + "tangent_expanding_modes": 9 + }, + "prior": { + "covariance_improving_modes": 13, + "mean_over_modes": { + "center_squared_error_drift": -0.0022267826070951524, + "covariance_squared_error_drift": -0.0037451121146940165, + "original_covariance_error": 1.573387571812165, + "original_covariance_error_drift": -0.000675385883079293, + "radial_variance_drift": 0.00018063979940385704, + "radial_variance_ratio": 0.2844059218266466, + "tangent_variance_drift": -0.0010064195856155575, + "tangent_variance_ratio": 3.0738670840643323 + }, + "radial_expanding_modes": 12, + "tangent_expanding_modes": 3 + } + }, + "points": 4096, + "prerequisite_signs": { + "center_squared_error_nonincreases": true, + "covariance_decreases": true, + "radial_variance_increases": true, + "tangent_variance_nonincreases": false + } + } + }, + "prerequisite_passed": false, + "prior_metric": "exact per-row mean_n Jz(n)^T Jz(n) accumulated only where row selected; no generator/prior cross blocks", + "probe_sha256": "eeff9e5efce60c4c466148c2c79efc650d56a6855eef4c3e93c53a1456800c5f", + "qualification_input": false, + "rate": 0.0085, + "relative_damping": 0.01, + "saved_graph_checks": { + "full_objective_output_gradient_error": 8.673617379884035e-19, + "full_parameter_objective_finite_difference_abs_error": 1.7272086538788756e-12, + "prior_block_autograd_max_abs_error": 1.734723475976807e-18 + }, + "schema_version": 1, + "scope": "frozen_endpoint_block_Kronecker_actual128batch_prerequisite", + "training_updates_added": 0 +} diff --git a/reports/forge/r1r2-local-repair-20261022/block-metric-prerequisite.md b/reports/forge/r1r2-local-repair-20261022/block-metric-prerequisite.md new file mode 100644 index 000000000..0d0d8de32 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/block-metric-prerequisite.md @@ -0,0 +1,60 @@ +# Fixed block-Kronecker prerequisite: rejected + +This saved-state approximation fails the prespecified tangent-variance sign on +both fixed scoring panels. Stop this exact mechanism without tuning or training. +No task verdict, recipe default or leaderboard changes. + +The [reproduction source](block_metric_probe.py) and +[compact receipt](block-metric-diagnosis.json) bind the original NS/AMS control +checkpoint, immutable publication, actual recipe/prior/source and historical +streams. The same original G-phase batches 1585–1600 (128 rows each) are replayed +at one frozen endpoint. Each hypothetical direction is computed independently; +the scoring direction is their arithmetic mean. No parameter, optimizer, stream +or trained state is advanced. Ambient Python/NumPy/CPU/CUDA RNG states match. + +For each generator affine layer, including its bias, define +`A = mean(a_aug a_augᵀ)` and `B = mean(J_preᵀ J_pre)`, where `J_pre` maps that +layer's preactivation to generated output. Solve the row-major parameter block +`(B ⊗ A + λ I) Δ = -.0085 ∇θ L`, using exact Kronecker eigenvalue denominators. +Each sampled prior row uses its exact accumulated `mean(J_zᵀ J_z)` block; unseen +rows stay exactly zero. Fixed damping is `.01 * trace(block) / block_dimension` +for each block. No damping or coefficient search was performed. + +`L` is the full scalar non-saturating generator objective plus the declared +unbiased empirical seven-width MMD at coefficient 1. Both fake arguments are +differentiated. Targets are the original replayed real rows; target means enter +only the scoring panels. This Euclidean primal block approximation discards +generator/prior cross blocks and within-layer activation/Jacobian correlations. +It replaces the saved AMS direction and has a different normalization from the +earlier dual-output GN probe. Neither probe qualifies the other mechanism. + +| Mean directional derivative | 2048 axial points | 4096 corner points | Required sign | +| --- | ---: | ---: | --- | +| Original covariance error | -.00008044 | -.00020894 | negative | +| Radial variance | +.00405728 | +.00404283 | positive | +| Tangent variance | +.00127815 | +.00110796 | nonpositive: **fails** | +| Center squared error | -.07232220 | -.07126958 | nonpositive | +| Squared covariance error, additional contrary evidence | +.00325960 | +.00095935 | not the admission metric | + +The original covariance error is the mean per-mode Frobenius norm, rather than +the squared proxy. Their different signs are retained. Both panels integrate +the same mean parameter direction; they are sensitivity checks, not independent +trials or trained gate observations. + +The deterministic Cartesian linear oracle matches the explicitly materialized +block metric to `1.12e-16` and its dense damped solve to `1.78e-15`; the +rank-deficient oracle error is `2.96e-15`. Saved-batch full-parameter objective +finite differences agree within `1.73e-12`; prior-block autograd error is below +`1.74e-18`. Maximum actual affine-block solve residual is `2.69e-14`. + +CPU float64, one thread: full objective gradient plus block construction/solve +averages 17.77 ms per batch (maximum 29.54 ms); total diagnostic wall time is +2.20 seconds, including binding, replay and scoring. This is a local cost +measurement, not GPU or word-task feasibility. Raw stdout and tail-friendly logs +remain outside Git under +`/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/block-metric/`. + +Reproduce from the repository root, with the original CUDA stream archive +available, using `python reports/forge/r1r2-local-repair-20261022/block_metric_probe.py +--output /tmp/block-metric-diagnosis.json`. No paid experiment is authorized by +this rejected prerequisite. diff --git a/reports/forge/r1r2-local-repair-20261022/block_metric_probe.py b/reports/forge/r1r2-local-repair-20261022/block_metric_probe.py new file mode 100644 index 000000000..e07e5341e --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/block_metric_probe.py @@ -0,0 +1,281 @@ +"""One fixed saved-state block-Kronecker prerequisite; never trains a model. + +Run from the repository root. The learned-prior row blocks are exact; generator +affine blocks factor the mean output-Jacobian metric into activation/derivative +second moments. This is a new Euclidean primal metric, not saved-AMS exact GN. +""" +import argparse +import itertools +import json +from pathlib import Path +import random +import subprocess +import sys +import time + +import numpy as np +import torch +import torch.nn.functional as F + +REPOSITORY = Path.cwd() +REPORTS = REPOSITORY / 'reports/forge/r1r2-local-repair-20261022' +CORE = REPORTS.parent / 'r1r2-failure-diagnosis-20261022' +sys.path[:0] = [str(REPORTS), str(CORE)] +from saved_force_probe import ROOTS, inspect, mlp, sha, shape_drift, tangent +from gn_batch_probe import empirical_mmd_gradient, check_mmd_gradient +from mmd_projection_probe import WIDTHS +from replay_training_batches import recover + +RIDGE_FRACTION = .01 +RATE = .0085 + + +def kron_solve(a, b, gradient): + """Solve B D A + lambda D = -lr gradient, row-major affine parameters.""" + a, b, gradient = (v.detach() for v in (a, b, gradient)) + assert all(torch.isfinite(v).all() for v in (a, b, gradient)) + ea, qa = torch.linalg.eigh(a) + eb, qb = torch.linalg.eigh(b) + assert float(ea.min()) > -1e-10 * max(float(a.norm()), 1.) + assert float(eb.min()) > -1e-10 * max(float(b.norm()), 1.) + ea, eb = ea.clamp_min(0), eb.clamp_min(0) + mean_diagonal = float(a.trace() * b.trace()) / gradient.numel() + ridge = RIDGE_FRACTION * mean_diagonal + if ridge == 0: + assert torch.count_nonzero(gradient) == 0 + return torch.zeros_like(gradient), {'ridge': 0., 'mean_diagonal': 0., 'relative_residual': 0.} + denominator = eb[:, None] * ea[None, :] + ridge + delta = -RATE * qb @ ((qb.T @ gradient @ qa) / denominator) @ qa.T + residual = b @ delta @ a + ridge * delta + RATE * gradient + relative = float(residual.norm()) / max(float((RATE * gradient).norm()), 1e-30) + assert relative < 1e-9 and torch.isfinite(delta).all() + return delta, {'ridge': ridge, 'mean_diagonal': mean_diagonal, 'relative_residual': relative} + + +def row_solve(blocks, gradient): + """Exact independent learned-prior row solves; unseen rows stay exactly zero.""" + blocks, gradient = blocks.detach(), gradient.detach() + ridge = RIDGE_FRACTION * blocks.diagonal(dim1=1, dim2=2).mean(1) + active = ridge > 0 + assert torch.count_nonzero(gradient[~active]) == 0 + delta = torch.zeros_like(gradient) + matrix = blocks[active] + ridge[active, None, None] * torch.eye(blocks.shape[1], dtype=blocks.dtype) + delta[active] = torch.linalg.solve(matrix, -RATE * gradient[active, :, None]).squeeze(-1) + residual = (blocks @ delta[:, :, None]).squeeze(-1) + ridge[:, None] * delta + RATE * gradient + relative = float(residual.norm()) / max(float((RATE * gradient).norm()), 1e-30) + assert relative < 1e-9 and torch.isfinite(delta).all() + return delta, {'ridge_min_active': float(ridge[active].min()), 'ridge_max': float(ridge.max()), + 'active_rows': int(active.sum()), 'relative_residual': relative} + + +def correctness_oracle(): + # Cartesian activation/derivative fixtures make the Kronecker factorization + # exact. No RNG is consumed and no training fixture is substituted. + activations = torch.tensor([[1., -2., 1.], [2., 1., 1.], [-1., .5, 1.]], dtype=torch.float64) + derivatives = torch.arange(16, dtype=torch.float64).reshape(4, 2, 2) / 13 - .4 + jacobians = torch.stack([torch.einsum('ci,j->cij', b, a).reshape(2, 6) + for a in activations for b in derivatives]) + exact = torch.einsum('nci,ncj->ij', jacobians, jacobians) / len(jacobians) + a = activations.T @ activations / len(activations) + b = torch.einsum('nci,ncj->ij', derivatives, derivatives) / len(derivatives) + factor_error = float((exact - torch.kron(b, a)).abs().max()) + gradient = torch.arange(6, dtype=torch.float64).reshape(2, 3) / 7 - .3 + delta, receipt = kron_solve(a, b, gradient) + ridge = RIDGE_FRACTION * float(exact.trace()) / len(exact) + direct = torch.linalg.solve(exact + ridge * torch.eye(6, dtype=exact.dtype), -RATE * gradient.flatten()).reshape_as(delta) + solve_error = float((delta - direct).abs().max()) + # Damping must resolve a nonzero rank-deficient block, with exact joint + # eigenvalue damping rather than separately damped factors. + rank_a = torch.tensor([[1., 1.], [1., 1.]], dtype=torch.float64) + rank_b = torch.tensor([[1., 0.], [0., 0.]], dtype=torch.float64) + rank_delta, _ = kron_solve(rank_a, rank_b, gradient[:, :2]) + rank_matrix = torch.kron(rank_b, rank_a) + rank_ridge = RIDGE_FRACTION * float(rank_matrix.trace()) / 4 + rank_direct = torch.linalg.solve(rank_matrix + rank_ridge * torch.eye(4, dtype=rank_matrix.dtype), -RATE * gradient[:, :2].flatten()) + rank_error = float((rank_delta.flatten() - rank_direct).abs().max()) + zeros, zero_receipt = kron_solve(torch.zeros_like(rank_a), rank_b, torch.zeros(2, 2, dtype=torch.float64)) + assert torch.count_nonzero(zeros) == 0 and zero_receipt['ridge'] == 0 + row_blocks = torch.stack((rank_a, torch.zeros_like(rank_a), 2 * torch.eye(2, dtype=torch.float64))) + row_gradient = torch.tensor([[1., 2.], [0., 0.], [-1., .5]], dtype=torch.float64) + row_delta, row_receipt = row_solve(row_blocks, row_gradient) + assert torch.count_nonzero(row_delta[1]) == 0 + assert max(factor_error, solve_error, rank_error) < 1e-10 + return {'factorized_metric_max_abs_error': factor_error, 'dense_solve_max_abs_error': solve_error, + 'rank_deficient_solve_max_abs_error': rank_error, 'relative_residual': receipt['relative_residual'], + 'prior_row_relative_residual': row_receipt['relative_residual'], 'inactive_exact_zero': True} + + +def objective(x, real, dp): + loss = F.softplus(-mlp(x, dp, critic=True)).mean() + for width in WIDTHS: + xx = torch.exp(-(x[:, None] - x[None, :]).square().sum(2) / (2 * width**2)) + xy = torch.exp(-(x[:, None] - real[None, :]).square().sum(2) / (2 * width**2)) + yy = torch.exp(-(real[:, None] - real[None, :]).square().sum(2) / (2 * width**2)) + loss = loss + ((xx.sum() - xx.diag().sum()) / (len(x) * (len(x)-1)) + - 2 * xy.mean() + (yy.sum() - yy.diag().sum()) / (len(real) * (len(real)-1))) / len(WIDTHS) + return loss + + +def block_direction(z, gp, prior, indices, gradient): + n = len(z) + with torch.no_grad(): + a0 = F.linear(z, gp['net.0.weight'], gp['net.0.bias']) + h0 = F.leaky_relu(a0, .2) + a2 = F.linear(h0, gp['net.2.weight'], gp['net.2.bias']) + h2 = F.leaky_relu(a2, .2) + d0 = torch.where(a0 > 0, torch.ones_like(a0), torch.full_like(a0, .2)) + d2 = torch.where(a2 > 0, torch.ones_like(a2), torch.full_like(a2, .2)) + b4 = torch.eye(2, dtype=z.dtype).expand(n, -1, -1) + b2 = gp['net.4.weight'][None] * d2[:, None] + b0 = torch.einsum('nci,ij->ncj', b2, gp['net.2.weight']) * d0[:, None] + jp = b0 @ gp['net.0.weight'] + deltas, receipts = [], [] + for i, inputs, derivatives in ((0, z, b0), (2, h0, b2), (4, h2, b4)): + augmented = torch.cat((inputs, torch.ones(n, 1, dtype=z.dtype)), 1) + a = augmented.T @ augmented / n + b = torch.einsum('nci,ncj->ij', derivatives, derivatives) / n + g = torch.cat((gradient[2 * (i//2)], gradient[2 * (i//2)+1][:, None]), 1) + delta, receipt = kron_solve(a, b, g) + deltas.extend((delta[:, :-1], delta[:, -1])) + # Exact affine trace differs from the product-of-means approximation. + exact_trace = float((augmented.square().sum(1) * derivatives.square().sum((1, 2))).mean()) + receipts.append({'layer': i, 'exact_block_trace': exact_trace, + 'factorized_block_trace': float(a.trace() * b.trace()), **receipt}) + blocks = torch.zeros(len(prior), prior.shape[1], prior.shape[1], dtype=z.dtype) + blocks.index_add_(0, indices, torch.einsum('nci,ncj->nij', jp, jp) / n) + delta, prior_receipt = row_solve(blocks, gradient[-1]) + deltas.append(delta) + return deltas, receipts, prior_receipt, jp, blocks + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('--output', type=Path, required=True) + args = parser.parse_args() + torch.set_num_threads(1) + started = time.monotonic() + py, nr, tr = random.getstate(), np.random.get_state(), torch.get_rng_state().clone() + cuda_before = torch.cuda.get_rng_state_all() + oracle = correctness_oracle() + root = ROOTS['ns_amsgrad'] + binding = inspect('ns_amsgrad', root, 3) + batches, replay = recover(root, keep=16) + def forbidden(*a, **kw): + raise AssertionError('No draws, models or optimizers after historical replay') + for name in ('rand', 'randn', 'randint', 'randperm', 'normal', 'multinomial'): + setattr(torch, name, forbidden) + torch.nn.Module.__init__ = forbidden + torch.optim.Optimizer.__init__ = forbidden + state = torch.load(root / 'provenance/provenance-state.pt', map_location='cpu', weights_only=True) + models = state['trainer']['models'] + gp = {k: v.double().clone().requires_grad_() for k, v in models['G'].items()} + dp = {k: v.double() for k, v in models['D'].items()} + prior = models['prior']['z'].double().clone().requires_grad_() + params = list(gp.values()) + [prior] + assert len(gp) == 6 and [tuple(p.shape) for p in params] == [(64, 4), (64,), (64, 64), (64,), (2, 64), (2,), (256, 4)] + assert all(g['lr'] == RATE for g in state['trainer']['optimizers'][0]['param_groups']) + assert state['recipe']['prior_reg'] == 0 + total = [torch.zeros_like(p) for p in params] + rows, timings = [], [] + first_checks = {} + for number, batch in enumerate(batches): + print('Historical batch ' + str(batch['step']), file=sys.stderr, flush=True) + iteration_started = time.monotonic() + indices = batch['indices'] + z = prior[indices] + float(models['prior']['sigma']) * batch['noise'].double() + x = mlp(z, gp) + loss = objective(x, batch['real'].double(), dp) + gradient = torch.autograd.grad(loss, params, retain_graph=True) + delta, layers, prior_receipt, jp, blocks = block_direction(z, gp, prior, indices, gradient) + timings.append(time.monotonic() - iteration_started) + for out, value in zip(total, delta): + out += value / len(batches) + if number == 0: + adv, = torch.autograd.grad(F.softplus(-mlp(x, dp, critic=True)).mean(), x, retain_graph=True) + output_grad, = torch.autograd.grad(loss, x, retain_graph=True) + first_checks['full_objective_output_gradient_error'] = float((output_grad - adv - empirical_mmd_gradient(x.detach(), batch['real'].double())).abs().max()) + row = int(indices[0]) + exact_prior = torch.zeros_like(blocks[row]) + for i in (indices == row).nonzero().flatten(): + for c in (0, 1): + grad, = torch.autograd.grad(x[int(i), c], prior, retain_graph=True) + exact_prior += torch.outer(grad[row], grad[row]) / len(x) + first_checks['prior_block_autograd_max_abs_error'] = float((exact_prior - blocks[row]).abs().max()) + length = sum(float(d.square().sum()) for d in delta)**.5 + unit = [d / length for d in delta] + epsilon = 1e-5 + losses = [] + for sign in (-1, 1): + pg = {k: (v.detach() + sign * epsilon * d) for (k, v), d in zip(gp.items(), unit[:-1])} + pp = prior.detach() + sign * epsilon * unit[-1] + xx = mlp(pp[indices] + float(models['prior']['sigma']) * batch['noise'].double(), pg) + losses.append(float(objective(xx, batch['real'].double(), dp))) + observed = (losses[1] - losses[0]) / (2 * epsilon) + predicted = sum(float((g * d).sum()) for g, d in zip(gradient, unit)) + first_checks['full_parameter_objective_finite_difference_abs_error'] = abs(observed - predicted) + assert max(first_checks.values()) < 1e-7 + rows.append({'step': batch['step'], 'layers': layers, 'prior': prior_receipt, + 'full_objective': float(loss.detach()), 'parameter_delta_norm': sum(float(d.square().sum()) for d in delta)**.5}) + request = json.loads((root / 'request.json').read_text())['request'] + means = torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'], dtype=torch.float64) + panels = {} + for name, offsets in [('axes', torch.cat((2 * torch.eye(4), -2 * torch.eye(4))).double()), + ('corners', torch.tensor(list(itertools.product((-1., 1.), repeat=4)), dtype=torch.float64))]: + z = (prior[:, None] + float(models['prior']['sigma']) * offsets[None]).flatten(0, 1) + x = mlp(z, gp) + dz = total[-1][:, None].expand(len(prior), len(offsets), 4).reshape_as(z) + gv = tangent(z.detach(), gp, torch.zeros_like(z), dict(zip(gp, total[:-1]))).detach() + pv = tangent(z.detach(), gp, dz, {k: torch.zeros_like(v) for k, v in gp.items()}).detach() + weights = torch.full((len(x),), 1 / len(x), dtype=torch.float64) + directions = {key: shape_drift(x, value, weights, means) for key, value in [('G', gv), ('prior', pv), ('combined', gv + pv)]} + metrics = directions['combined']['mean_over_modes'] + signs = {'covariance_decreases': metrics['original_covariance_error_drift'] < 0, + 'radial_variance_increases': metrics['radial_variance_drift'] > 0, + 'tangent_variance_nonincreases': metrics['tangent_variance_drift'] <= 0, + 'center_squared_error_nonincreases': metrics['center_squared_error_drift'] <= 0} + panels[name] = {'points': len(x), 'directions': directions, 'prerequisite_signs': signs, 'all_signs_pass': all(signs.values())} + assert random.getstate() == py + assert np.random.get_state()[0] == nr[0] and np.array_equal(np.random.get_state()[1], nr[1]) and np.random.get_state()[2:] == nr[2:] + assert torch.equal(torch.get_rng_state(), tr) + assert all(torch.equal(a, b) for a, b in zip(cuda_before, torch.cuda.get_rng_state_all())) + accepted = all(panel['all_signs_pass'] for panel in panels.values()) + helpers = [REPORTS / 'gn_batch_probe.py', REPORTS / 'replay_training_batches.py', CORE / 'saved_force_probe.py', CORE / 'mmd_projection_probe.py'] + result = {'schema_version': 1, 'scope': 'frozen_endpoint_block_Kronecker_actual128batch_prerequisite', + 'qualification_input': False, 'training_updates_added': 0, 'new_independent_random_streams': 0, + 'ambient_rng_unchanged': True, 'historical_stream_replay': replay, + 'immutable_binding': binding['immutable_binding'], 'checkpoint_sha256': binding['checkpoint_sha256'], + 'probe_sha256': sha(__file__), 'helper_sha256': {str(p.relative_to(REPOSITORY)): sha(p) for p in helpers}, + 'analysis_checkout_commit': subprocess.check_output(['git', 'rev-parse', 'HEAD'], text=True).strip(), + 'metric': 'Euclidean primal output-Jacobian block approximation; not saved-AMS-whitened exact GN', + 'equation': '(B_layer tensor_product A_layer + lambda_layer I) delta_layer = -lr full_gradient_layer', + 'A': 'mean of augmented-input outer products; bias in same affine block', + 'B': 'mean of output-Jacobian-to-preactivation Gram matrices, summed output coordinates', + 'prior_metric': 'exact per-row mean_n Jz(n)^T Jz(n) accumulated only where row selected; no generator/prior cross blocks', + 'damping': '.01 * trace(each block) / parameter coordinates in that block; exact joint eigenvalue damping', + 'rate': RATE, 'relative_damping': RIDGE_FRACTION, 'objective': 'full scalar non-saturating generator loss + unbiased empirical seven-width MMD U at coefficient1', + 'MMD_widths': WIDTHS, 'MMD_coefficient': 1, 'correctness_oracle': oracle, + 'empirical_MMD_gradient_max_abs_error': check_mmd_gradient(), 'saved_graph_checks': first_checks, + 'batches': rows, 'panels': panels, 'prerequisite_passed': accepted, + 'decision': 'saved prerequisite passes; no trained or runtime qualification' if accepted else 'REJECT fixed block approximation; stop without tuning or training', + 'cost': {'device': 'CPU', 'dtype': 'float64', 'threads': 1, 'batch_gradient_metric_solve_seconds': timings, + 'batch_mean_seconds': sum(timings) / len(timings), 'batch_max_seconds': max(timings), + 'diagnostic_wall_seconds': time.monotonic() - started}, + 'limits': ['One archived NS/AMS endpoint; no historical intermediate model reconstruction.', + 'Original16 suffix real/latent draws evaluated independently at same frozen endpoint; arithmetic mean direction.', + 'Generator Kronecker independence approximation and block separation discard within-layer correlations and all cross-block couplings.', + 'Damping policy is per-primal-block trace normalization, distinct from exactGN dual-output trace normalization.', + 'No saved AMS metric, momentum or future moment update is included; this is an explicitly new hypothetical optimizer.', + 'Target means used only in two fixed scoring panels, never in objective or metric.', + 'No word all-host feasibility claim and no paid experiment, trained gate, leaderboard or default change.']} + def compact(v): + if isinstance(v, dict): + return {k: compact(x) for k, x in v.items() if k != 'per_mode'} + if isinstance(v, list): + return [compact(x) for x in v] + return v + args.output.write_text(json.dumps(compact(result), indent=2, sort_keys=True, allow_nan=False) + '\n') + print(json.dumps({'decision': result['decision'], 'panels': {k: v['directions']['combined']['mean_over_modes'] for k, v in panels.items()}, 'cost': result['cost']}, indent=2, sort_keys=True)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.json b/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.json new file mode 100644 index 000000000..a40ecb9e5 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.json @@ -0,0 +1,621 @@ +{ + "artifact_root": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/queue/r1r2-repair-20261022/32a62170283a41158410c13744709fb8", + "attempt": "32a62170283a41158410c13744709fb8", + "conclusions": [ + "Failure includes both final ancestral sampling and both step-1 conditional panels.", + "High-noise reverse variance masks clean-predictor variance errors; step 1 has no reverse noise.", + "The saved NS output field opposes mean correction in seven of eight fixed contexts at both quadrature orders.", + "Stored critic momentum improves all eight alignments locally, while fresh R1+R2 and R1-only directions worsen t1_q0.", + "These local controls do not support declaring a D-momentum or R2-removal repair; a full matched global comparison must decide net effects." + ], + "historical_comparison": { + "checkpoint_sha256": "829e073d516ad7201af1429e9f796048f7321ba2b351b6ec2682ae3c349d062b", + "final_metrics": { + "covariance_eigen_max": 1.398722490869161, + "covariance_eigen_min": 0.5499189424785275, + "normalized_mean": 0.6056332609240245, + "projection_cdf": 0.2022633460624323 + }, + "limitations": "Different source, runtime and recipe; no matched successful model-native recipe was found.", + "original_publication_sha256": "3fe2d2f3b09d9e1c34b5dea5435e3d67a6aee30023e265acef25ffc6808fc6cd", + "original_verdict": "FAIL", + "prior_recipe": "bispf-optimized-quintic-v1", + "report_sha256": "04797aacd93a340062e3c1db9ddd7cc8cc822c746fcbba7efddefe4f82fd81a5", + "same_scientific_cohort": false, + "source": { + "files_verified": 1252, + "manifest_digest": "a3678967d9a293bd98cfac5909e138c19f66a27cc7cc6f5714445cd21c733413", + "origin_commit": "bee9f06ed21695e518c1cb702e12a385ab9389e8", + "scientific_source_unchanged": true + } + }, + "limits": [ + "Equal fixed-panel cohort is not the training context marginal.", + "Alignment derivatives are frozen generator/output-space diagnostics, not G parameter updates.", + "D directions use a fixed historical AMS denominator; no new optimizer moments or training steps.", + "Stored momentum is the previous update history; half_history_fresh_filter is a diagnostic mixture, not the exact next Adam update.", + "Fresh conditional target moments are analysis-only Gaussian laws; no analytic training targets are proposed.", + "No new contexts, evaluation samples, qualification gates, continuation or task tuning were introduced.", + "Orders 2 and 3 are deterministic integration sensitivity, not independent validation.", + "Small high-noise alignments are numerical point estimates, not significance claims." + ], + "original_contract": { + "batch_sequence_sha256": "1f64ffe0d3ad8bdebc856f5560e346aa69709a99ea0d7bec48b52edeec456fd8", + "batch_size": 64, + "completed_updates": 2500, + "eval_samples": 2048, + "initializer": "deterministic_orthogonal", + "observations": 24, + "prior": "recipe_owned_v1", + "recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": true, + "batch_size": 64, + "betas": [ + 0.5, + 0.99 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "continuous_policy": null, + "critic_formulation": "k3p", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.0, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.0085, + "lr_anneal_start": 0.2, + "lr_control": "mobility", + "lr_floor": 1.0, + "lr_schedule": "constant", + "model": "ddgan", + "name": "r3gan-stacked-training-toy-v1", + "network_lr_floor": 1.0, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 128, + 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learned-MoG latent/kernel noise and Gaussian reverse noise at EVERY step; eight heldout time/observation transition panels", + "seed": 0, + "terminal_observations": 5 + }, + "original_endpoint": { + "final": { + "covariance_eigen_max": 1.4411540185803657, + "covariance_eigen_min": 0.2318280867517974, + "normalized_mean": 0.4336707333878356, + "projection_cdf": 0.320936052759796 + }, + "t1_q0": { + "covariance_eigen_max": 1.9147626038347338, + "covariance_eigen_min": 0.14786596807971053, + "normalized_mean": 1.0071867594192057, + "projection_cdf": 0.523952686362781 + }, + "t1_q1": { + "covariance_eigen_max": 2.065983188940191, + "covariance_eigen_min": 0.32789854954011577, + "normalized_mean": 0.3938962865821997, + "projection_cdf": 0.2919134565116731 + }, + "t2_q0": { + "covariance_eigen_max": 0.9830380590552944, + "covariance_eigen_min": 0.48409810523355656, + "normalized_mean": 0.46284894330806137, + "projection_cdf": 0.20308685711500007 + }, + "t2_q1": { + "covariance_eigen_max": 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0.9992167059269641 + ], + "initial_alignment": -0.0006167964736354122, + "label": "t4_q0", + "normalized_mean": 0.07915368851341767 + }, + { + "alignment_derivative": { + "R1_only_fresh": 6.836419447214421e-06, + "fresh_gradient": 9.326561735622356e-06, + "half_history_fresh_filter": 1.4460186327360188e-05, + "stored_momentum": 1.959381091909802e-05 + }, + "clean_variance_share": [ + 0.010525463064768611, + 0.004705551585120123 + ], + "critic_fake_score": 0.06428060848110492, + "critic_real_score": 0.06442529617346665, + "eigenvalues": [ + 0.9910840614482144, + 0.9994600351326628 + ], + "initial_alignment": -6.389502152888036e-05, + "label": "t4_q1", + "normalized_mean": 0.0317080753473051 + } + ], + "positive_alignment_derivatives": { + "R1_only_fresh": 7, + "fresh_gradient": 7, + "half_history_fresh_filter": 7, + "stored_momentum": 8 + }, + "raw_path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-ddgan-diagnosis-20261022/final-critic-field-order3.json", + "raw_sha256": "512080b7e95664525454cf7fdf90c66d51a7c714aeaa55bd84b060642201b100", + "wall_seconds": 4.952468414034229 + } + ], + "quadrature_sensitivity": { + "all_field_signs_agree": true, + "direction_sign_agreement": { + "R1_only_fresh": true, + "fresh_gradient": true, + "half_history_fresh_filter": true, + "stored_momentum": true + } + }, + "qualification_input": false, + "random_draws_added": 0, + "regraded": false, + "schema": "r1r2_ddgan_saved_diagnosis_v1", + "source_digest": "e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464", + "summary_source_sha256": "3a3361f9a2324b9ef967374c28ad74541461663cfc2ac3bc29695c7a8db85f15", + "training_updates_added": 0, + "wall_seconds": 5.480076294043101 +} diff --git a/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.md b/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.md new file mode 100644 index 000000000..df68cd4de --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/ddgan-diagnosis.md @@ -0,0 +1,99 @@ +# Native NS DDGAN failure: saved conditional field + +The original control has a genuine conditional and final distribution failure. +Both step-1 panels fail throughout the 24-observation protocol, including the +central query. The later reverse steps supply enough Gaussian noise to conceal +much of the clean predictor's missing variance. This matches the mechanism +observed in the [earlier model-native diagnosis](../ddgan-failure-investigation/README.md), +whose different source, CPU runtime and BISPF recipe remain a separate cohort. +No matched successful model-native recipe was found. + +The [compact receipt](ddgan-diagnosis.json) pins attempt +`32a62170283a41158410c13744709fb8`, source digest +`e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464`, +original request/raw/API receipts, checkpoint, probe and raw analysis outputs. +The original native NS/AMSGrad recipe completed all 2,500 D/G/prior updates with +gamma .1, real/fake penalty weights 1, LR .0085, beta1 .5 for D/G, beta1 0 for +prior and beta2 .99. The task retains its learned 128-by-4 MoG prior, sigma .25, +batch 64, deterministic initializer, protocol seed 0, clean live sampling and +2,048 samples per panel. No evaluation or qualification result was changed. + +| Original endpoint | Projection CDF error | Normalized mean error | Covariance eigenvalues | +| --- | ---: | ---: | ---: | +| Final ancestral samples | .32094 | .43367 | [.23183, 1.44115] | +| Step 1, q0 | .52395 | 1.00719 | [.14787, 1.91476] | +| Step 1, central q1 | .29191 | .39390 | [.32790, 2.06598] | +| Step 4, q0 | .04583 | .10458 | [.99132, 1.03331] | +| Step 4, q1 | .03182 | .04594 | [.95318, 1.01653] | + +The unchanged bounds are CDF <=.12, normalized mean <=.25, covariance minimum +>=.65 and maximum <=1.4, jointly across all eight transitions and the final +chain, sustained for the final five observations. There are zero joint passing +observations. Final CDF spans .19923–.62285 across the original trace; its final +five values are .47608, .27704, .29215, .42486 and .32094. The last values are +not an isolated evaluation accident. Exact values remain in the receipt. + +For the Gaussian law, the conditional reverse covariance is +`A_t² Var(x0 | xt) + posterior_var_t I`. Its learned-clean variance fraction is +100%/100% at step 1, 57.40%/39.78% at step 2, 15.95%/7.82% at step 3, and +1.05%/.47% at step 4. A high-noise transition pass therefore supplies weak +evidence for correct clean prediction. This is an exact variance decomposition, +not a claim that the later steps contain no learned information. + +## Frozen critic controls + +The [reproduction source](ddgan_critic_field_probe.py) uses all 128 learned prior +rows with deterministic Gaussian quadrature over latent and reverse noise. It +integrates the original eight fixed contexts with equal weight. The exact +Gaussian conditional moments and step-1 target are analysis-only oracles. +Orders 2 and 3 preserve every reported alignment and directional sign. + +The mean-translation alignment is +`E[sigmoid(-D(fake)) * grad_fake D(fake)] dot (real_mean - fake_mean)`. +Positive assists conditional mean correction in output space. At order 3 it is +negative on seven of eight contexts, including central step-1 q1 (-.00423). +Step-1 q0 is positive (+.01522), despite its large variance and mean errors. +Thus a wrong output field coexists with the distribution mismatch, but cannot +explain every failing panel by itself. G's Jacobian and update geometry are not +included in this alignment. + +The probe then differentiates these alignments along hypothetical D directions +using the saved, fixed AMS denominator. It neither updates moments nor takes a +training step. The old bias-corrected D momentum improves all eight alignments +locally. Fresh native R1+R2 gradients improve seven but worsen q0 at step 1; +fresh R1-only gradients have the same sign pattern. At q0 those derivatives are ++1.42e-4 for saved momentum, -1.05e-3 for fresh R1+R2 and -6.99e-4 for fresh +R1-only. At central q1 they are +2.63e-4, +3.99e-4 and +3.27e-4. + +The respective adversarial/R1/R2 D-gradient norms are .01677/.00356/.00367 +under this equal-context diagnostic law. These norms do not demonstrate +penalty starvation. Together, the controls do not support claiming that +zeroing D momentum or removing R2 repairs this task. They also cannot establish +critic lag, capacity failure or the temporal cause of the original error. +The already declared global R1-only comparison must determine its net trained +effect using the original full public protocol. No candidate is selected from +these endpoint controls. + +## Reproduce without training + +From the repository root, using PyTorch 2.14.0+cu130: + +```sh +DDGAN_ARTIFACTS=/mnt/ml7tb/ParticleGAN-forge/r1r2-ddgan-diagnosis-20261022 +PROBES=reports/forge/r1r2-local-repair-20261022 +for order in 2 3; do + python "$PROBES/ddgan_critic_field_probe.py" --order "$order" \ + > "$DDGAN_ARTIFACTS/final-critic-field-order$order.json" \ + 2> "$DDGAN_ARTIFACTS/final-critic-field-order$order.log" +done +python "$PROBES/summarize_ddgan.py" +tail -F "$DDGAN_ARTIFACTS/final-critic-field-order3.log" +``` + +The probes verify the pinned original inputs and all 1,287 frozen source files. +They use CPU float64 and one thread, forbid random draws/model or optimizer +construction, and verify unchanged ambient Python/NumPy/Torch RNG states. +Total final quadrature compute was about 5.5 CPU seconds. There were zero new +training updates, continuations, random samples, paid training charges or seed +experiments. Quadrature sensitivity is not independent validation; these +results add no qualification credit and no new leaderboard. diff --git a/reports/forge/r1r2-local-repair-20261022/ddgan_critic_field_probe.py b/reports/forge/r1r2-local-repair-20261022/ddgan_critic_field_probe.py new file mode 100644 index 000000000..e35db809b --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/ddgan_critic_field_probe.py @@ -0,0 +1,150 @@ +"""Read-only NS DDGAN critic-field endpoint diagnosis on fixed quadrature laws.""" +import argparse +import hashlib +import itertools +import json +from pathlib import Path +import random +import time + +import numpy as np +import torch +import torch.nn.functional as F + +ROOT=Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/queue/r1r2-repair-20261022/32a62170283a41158410c13744709fb8') +SOURCE='e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464' +INPUT_HASHES={ + 'request.json':'4e4935055a92d2b4d7ecce4935ac91421a344c5d394b105f9f4a4599825a8c00', + 'raw-result.json':'68e3e7c6637bd4ef6ceefa151f7fff135aefd4c1c824640fb1c52eaa36a9c3f5', + 'api/receipt.json':'d453723aa6bb4d956b99e83530c5dd360de923eca7d70814909a38fdcdeabc59', + 'api/final-state.pt':'6d5abe85ce06fc3216150f66d2c0809e6a28533900196568a8225fa470093485', +} + + +def sha(p):return hashlib.sha256(Path(p).read_bytes()).hexdigest() + + +def gh(d,order): + q,w=np.polynomial.hermite.hermgauss(order) + ii=list(itertools.product(range(order),repeat=d)) + return (torch.tensor([[q[j]*np.sqrt(2)for j in row]for row in ii],dtype=torch.float64), + torch.tensor([np.prod([w[j]/np.sqrt(np.pi)for j in row])for row in ii],dtype=torch.float64)) + + +def mlp(x,p): + for i in (0,2,4): + x=F.linear(x,p[f'net.{i}.weight'],p[f'net.{i}.bias']) + if i!=4:x=F.leaky_relu(x,.2) + return x + + +def score(x,p,xy,step): + return mlp(torch.cat((x,x.new_tensor(xy).expand(len(x),2),x.new_full((len(x),1),step/4)),1),p).squeeze(1) + + +def main(): + parser=argparse.ArgumentParser();parser.add_argument('--order',type=int,default=2);args=parser.parse_args() + started=time.monotonic();torch.set_num_threads(1) + py,nr,tr=random.getstate(),np.random.get_state(),torch.get_rng_state().clone() + def forbidden(*a,**kw):raise AssertionError('Saved field probe forbids draws/models/optimizers') + for name in ('rand','randn','randint','randperm','normal','multinomial'):setattr(torch,name,forbidden) + torch.nn.Module.__init__=forbidden;torch.optim.Optimizer.__init__=forbidden + for relative,digest in INPUT_HASHES.items():assert sha(ROOT/relative)==digest + raw=json.loads((ROOT/'raw-result.json').read_text()) + api=json.loads((ROOT/'api/receipt.json').read_text()) + request=json.loads((ROOT/'request.json').read_text())['request'] + assert request['source']['digest']==SOURCE + for relative,digest in request['source']['files'].items():assert sha(Path(request['source']['snapshot_path'])/relative)==digest + assert sha(ROOT/'api/receipt.json')==raw['evidence']['api_receipt_sha256'] + for name,row in api['artifacts'].items():assert sha(ROOT/'api'/name)==row['sha256'] + state=torch.load(ROOT/'api/final-state.pt',map_location='cpu',weights_only=True) + assert state['completed_steps']==2500 + assert state['case_id']=='api-model-ddgan-gaussian-chain' + assert json.loads(json.dumps(state['recipe']))==api['recipe'] + assert state['recipe']['loss']=='non_saturating' and state['recipe']['reg_coeff']==.1 + assert state['recipe'].get('reg_real_weight',1.)==state['recipe'].get('reg_fake_weight',1.)==1. + expected_keys=[f'net.{i}.{part}'for i in (0,2,4)for part in ('weight','bias')] + for model,shapes in [('G',[(32,7),(32,),(32,32),(32,),(2,32),(2,)]), + ('D',[(32,5),(32,),(32,32),(32,),(1,32),(1,)])]: + assert list(state['models'][model])==expected_keys + assert [tuple(v.shape)for v in state['models'][model].values()]==shapes + gp={k:v.double()for k,v in state['models']['G'].items()} + dp={k:v.double().clone().requires_grad_()for k,v in state['models']['D'].items()} + pz=state['models']['prior']['z'].double();sigma=float(state['models']['prior']['sigma']) + assert pz.shape==(128,4) and sigma==.25 + assert state['models']['prior']['_extra_state']=={'sigma_rel':0.,'standardize':False} + schedule={k:v.double()for k,v in state['models']['schedule'].items()} + mu=torch.tensor([.6,-.35],dtype=torch.float64);var=torch.tensor([.45**2,.30**2],dtype=torch.float64) + nodes,w=gh(4,args.order);eta,ew=gh(2,args.order);real_nodes,rw=gh(2,7) + z=(pz[:,None,:]+sigma*nodes[None,:,:]).flatten(0,1);zw=w.repeat(128)/128 + panels=[];g_adv=[torch.zeros_like(p)for p in dp.values()];g_r1=[v.clone()for v in g_adv];g_r2=[v.clone()for v in g_adv] + def grads(loss): + values=torch.autograd.grad(loss,list(dp.values()),retain_graph=True,allow_unused=True) + return [torch.zeros_like(p)if v is None else v.detach()for p,v in zip(dp.values(),values)] + for step in range(1,5): + for index,xy in enumerate(((-.5,.25),(.5,-.25))): + print('Panel t'+str(step)+' q'+str(index),file=__import__('sys').stderr,flush=True) + ab=schedule['ab'][step];A=schedule['A'][step];B=schedule['B'][step];noise=schedule['posterior_var'][step] + cleanvar=1/(1/var+ab/(1-ab));cleanmu=cleanvar*(mu/var+ab.sqrt()*mu.new_tensor(xy)/(1-ab)) + realmu=A*cleanmu+B*mu.new_tensor(xy);realvar=A.square()*cleanvar+noise + real=(realmu[None,:]+realvar.sqrt()[None,:]*real_nodes).requires_grad_() + # G takes (xt,z,t), unlike D's (x_prev,xt,t). + clean=mlp(torch.cat((z.new_tensor(xy).expand(len(z),2),z,z.new_full((len(z),1),step/4)),1),gp) + fake=(A*clean[:,None,:]+B*mu.new_tensor(xy)[None,None,:]+noise.sqrt()*eta[None,:,:]).flatten(0,1).detach().requires_grad_() + fw=(zw[:,None]*ew[None,:]).flatten() + dr,df=score(real,dp,xy,step),score(fake,dp,xy,step) + gr,=torch.autograd.grad(dr.sum(),real,create_graph=True);gf,=torch.autograd.grad(df.sum(),fake,create_graph=True) + adv=(rw*F.softplus(-dr)).sum()+(fw*F.softplus(df)).sum() + r1=.05*(rw*gr.square().sum(1)).sum();r2=.05*(fw*gf.square().sum(1)).sum() + for out,g in zip(g_adv,grads(adv)):out+=g/8 + for out,g in zip(g_r1,grads(r1)):out+=g/8 + for out,g in zip(g_r2,grads(r2)):out+=g/8 + field=torch.sigmoid(-df)[:,None]*gf + mean=(fw[:,None]*fake.detach()).sum(0);correction=realmu-mean + alignment=(fw*(field*correction[None,:]).sum(1)).sum() + ag=grads(alignment) + cov=torch.einsum('n,ni,nj->ij',fw,fake.detach()-mean,fake.detach()-mean) + eigen=torch.linalg.eigvalsh(torch.diag(realvar.rsqrt())@cov@torch.diag(realvar.rsqrt())) + panels.append({'label':f't{step}_q{index}','initial_alignment':float(alignment.detach()), + 'normalized_mean':float((correction/realvar.sqrt()).norm()),'eigenvalues':eigen.tolist(), + 'clean_variance_share':(A.square()*cleanvar/realvar).tolist(), + 'critic_real_score':float((rw*dr.detach()).sum()),'critic_fake_score':float((fw*df.detach()).sum()), + 'alignment_gradient':ag}) + opt=state['optimizers'][1];assert opt['param_groups'][0]['params']==list(range(6)) + group=opt['param_groups'][0];lr=group['lr'];fresh=[a+b+c for a,b,c in zip(g_adv,g_r1,g_r2)] + assert group['amsgrad'] and group['betas']==(.5,.99) and lr==.0085 + r1only=[a+b for a,b in zip(g_adv,g_r1)] + directions={name:[]for name in ('stored_momentum','fresh_gradient','half_history_fresh_filter','R1_only_fresh')} + for i,(g,r1)in enumerate(zip(fresh,r1only)): + saved=opt['state'][i];n=float(saved['step']);b1,b2=group['betas'] + assert n==2500 + assert all(saved[k].shape==g.shape for k in ('exp_avg','exp_avg_sq','max_exp_avg_sq')) + den=(saved['max_exp_avg_sq'].double()/(1-b2**n)).sqrt()+group['eps'] + m=saved['exp_avg'].double()/(1-b1**n) + for name,value in [('stored_momentum',m),('fresh_gradient',g),('half_history_fresh_filter',.5*m+.5*g),('R1_only_fresh',r1)]:directions[name].append(-lr*value/den) + for panel in panels: + ag=panel.pop('alignment_gradient') + panel['alignment_derivative']={name:sum(float((a*d).sum())for a,d in zip(ag,values))for name,values in directions.items()} + assert random.getstate()==py and np.array_equal(np.random.get_state()[1],nr[1]) + assert np.random.get_state()[0]==nr[0] and np.random.get_state()[2:]==nr[2:] + assert torch.equal(tr,torch.get_rng_state()) + norm=lambda values:float(sum(v.square().sum()for v in values).sqrt()) + result={'schema':1,'scope':'equal-eight-fixed-context-frozen-DDGAN-critic-field-quadrature', + 'training_updates_added':0,'random_draws_added':0,'ambient_rng_unchanged':True, + 'qualification_input':False,'order':args.order,'fake_latent_points':len(z), + 'source_digest':SOURCE,'source_files_verified':len(request['source']['files']), + 'driver_sha256':sha(__file__),'request_sha256':sha(ROOT/'request.json'), + 'raw_result_sha256':sha(ROOT/'raw-result.json'), + 'api_receipt_sha256':sha(ROOT/'api/receipt.json'),'checkpoint_sha256':sha(ROOT/'api/final-state.pt'), + 'runtime':{'torch':torch.__version__,'device':'cpu','dtype':'float64','threads':1}, + 'gradient_norms':{'adversarial':norm(g_adv),'R1':norm(g_r1),'R2':norm(g_r2),'combined':norm(fresh)}, + 'panels':panels,'wall_seconds':time.monotonic()-started, + 'limits':['Equal fixed-panel cohort is not the training context marginal.', + 'Alignment derivatives are frozen generator/output-space diagnostics, not G parameter updates.', + 'D directions use a fixed historical AMS denominator; no new optimizer moments or training steps.', + 'Stored momentum is the previous update history; half_history_fresh_filter is a diagnostic mixture, not the exact next Adam update.', + 'Fresh conditional target moments are analysis-only Gaussian laws; no analytic training targets are proposed.']} + print(json.dumps(result,indent=2,sort_keys=True,allow_nan=False)) + + +if __name__=='__main__':main() diff --git a/reports/forge/r1r2-local-repair-20261022/gn-batch-diagnosis.json b/reports/forge/r1r2-local-repair-20261022/gn-batch-diagnosis.json new file mode 100644 index 000000000..91d011fc0 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/gn-batch-diagnosis.json @@ -0,0 +1,621 @@ +{ + "CG_max_iterations": 1024, + "CG_tolerance": 0.0001, + "MMD_coefficient": 1, + "MMD_widths": [ + 0.0625, + 0.125, + 0.25, + 0.5, + 1.0, + 2.0, + 4.0 + ], + "all_solves_accepted": true, + "ambient_rng_unchanged": true, + "checkpoint_sha256": "ac391adc90c90cc3dd445b4201765163a20c1187b39c90ba954d450afc8be328", + "core_probe_sha256": "34fb328507a4178f76bc10a77b1b0ea18f31c7143a0bf4ad8e471d07630a1f9c", + "diagnostic_wall_seconds": 4.718662811035756, + "directions": { + "ns_mmd_AMS": { + "G": { + "covariance_improving_modes": 5, + "mean_over_modes": { + "center_squared_error_drift": 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9.601812363368909e-05 + ], + "solver": "diagonal-preconditioned conjugate gradient, same damped normal equation" + }, + "immutable_binding": { + "commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "publication_git_blob": "51d853392eca4ddc90cef4fedb7baf0e4ba08423", + "publication_path": "reports/forge/r1r2-energy-distance-repair/publication/results.json", + "publication_sha256": "cb3f7b89d1677591a12dd86377d072b55cba1b95e99060b2841cdf42c418b75c", + "raw_matches_pinned_result": true, + "recipe_prior_target_architecture_optimizer_bindings_checked": true, + "request_sha256": "4d4db71ee278494e2130dd9a1b7b9933bd15b66a62085260fb0d9c28b6ebebb3", + "result_sha256": "1604b42244e56b7792ebea7e57ea2496e0fcf06a1c1dcbda36370d54df49cd33" + }, + "limits": [ + "Frozen endpoint metric and Jacobian; future AMS moments/critic refits not simulated.", + "Deterministic analysis panels; not original stochastic128training minibatches.", + "Hypothesis changes generator/prior update geometry and adds fixedMMD; no trained gate or global recipe pass.", + "Original target Gaussian expectation uses means only to integrate analysis; runtime requires only real batches." + ], + "metric": "archived AMS maximum-second-moment diagonal inverse, shared G and learned prior", + "mmd_probe_sha256": "ded8be82b36ae93e29ffea1cd9675796e6a9ac04e828abb62ee8e495fb34f20e", + "panel": "axes", + "parameter_delta": { + "max": 0.005190069445429863, + "median": 3.652341909179752e-05, + "min": -0.00747044069496346, + "rms": 0.0008308792315832069 + }, + "points": 2048, + "probe_sha256": "de2e91308210b5bc5df69127286f5c8ff7212c120dc25a3f75ef34770448a265", + "qualification_input": false, + "random_draws_added": 0, + "schema_version": 1, + "scope": "saved_endpoint_damped_output_gauss_newton_prerequisite", + "training_updates_added": 0 +} diff --git a/reports/forge/r1r2-local-repair-20261022/gn_batch_probe.py b/reports/forge/r1r2-local-repair-20261022/gn_batch_probe.py new file mode 100644 index 000000000..a81399294 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/gn_batch_probe.py @@ -0,0 +1,195 @@ +"""Frozen endpoint GN sensitivity on exact original128-example batch draws.""" +import argparse +import itertools +import json +from pathlib import Path +import random +import sys +import time + +import numpy as np +import torch +import torch.nn.functional as F + +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(HERE.parent / 'r1r2-failure-diagnosis-20261022')) +from saved_force_probe import ROOTS, inspect, mlp, sha, shape_drift, tangent +from mmd_projection_probe import WIDTHS +from replay_training_batches import recover + + +def empirical_mmd_gradient(x, y): + n = len(x) + xx = x[:, None, :] - x[None, :, :] + xy = x[:, None, :] - y[None, :, :] + out = torch.zeros_like(x) + for width in WIDTHS: + s2 = width**2 + q = torch.exp(-xx.square().sum(2) / (2*s2)) + p = torch.exp(-xy.square().sum(2) / (2*s2)) + out += (-2 * (q[:, :, None]*xx).sum(1) / (n*(n-1)*s2) + + 2 * (p[:, :, None]*xy).mean(1) / (n*s2)) / len(WIDTHS) + return out + + +def check_mmd_gradient(): + x=(torch.arange(14,dtype=torch.float64).reshape(7,2)/7-1).requires_grad_() + y=torch.arange(22,dtype=torch.float64).reshape(11,2)/9-.7 + loss=x.sum()*0 + for width in WIDTHS: + k=torch.exp(-(x[:,None,:]-x[None,:,:]).square().sum(2)/(2*width**2)) + cross=torch.exp(-(x[:,None,:]-y[None,:,:]).square().sum(2)/(2*width**2)) + loss+=( (k.sum()-k.diag().sum())/(len(x)*(len(x)-1))-2*cross.mean())/len(WIDTHS) + actual,=torch.autograd.grad(loss,x) + error=float((actual-empirical_mmd_gradient(x.detach(),y)).abs().max()) + assert error<1e-10 + return error + + +def diagonal(z, gp, metric, indices): + pg = dict(zip(gp, metric[:-1])) + a0 = F.linear(z, gp['net.0.weight'], gp['net.0.bias']) + h0 = F.leaky_relu(a0, .2) + a2 = F.linear(h0, gp['net.2.weight'], gp['net.2.bias']) + h2 = F.leaky_relu(a2, .2) + d0 = torch.where(a0>0, torch.ones_like(a0), torch.full_like(a0,.2)) + d2 = torch.where(a2>0, torch.ones_like(a2), torch.full_like(a2,.2)) + b2 = gp['net.4.weight'][None,:,:] * d2[:,None,:] + b0 = torch.einsum('nci,ij->ncj',b2,gp['net.2.weight']) * d0[:,None,:] + jprior = b0 @ gp['net.0.weight'] + out = h2.square() @ pg['net.4.weight'].T + pg['net.4.bias'] + out += (b2.square() * (h0.square() @ pg['net.2.weight'].T + pg['net.2.bias'])[:,None,:]).sum(2) + out += (b0.square() * (z.square() @ pg['net.0.weight'].T + pg['net.0.bias'])[:,None,:]).sum(2) + return (out + (jprior.square()*metric[-1][indices,None,:]).sum(2)).detach() + + +def solve(x, z, gp, prior, indices, metric, output_force, max_iterations=1024): + params = list(gp.values())+[prior] + diag = diagonal(z,gp,metric,indices) + actual_diagonal=0. + for c in (0,1): + gradients=torch.autograd.grad(x[0,c],params,retain_graph=True) + actual_diagonal+=sum(float((v.square()*p).sum())for v,p in zip(gradients,metric)) + diagonal_error=abs(actual_diagonal-float(diag[0].sum()))/actual_diagonal + assert diagonal_error<1e-10 + damping = .01 * float(diag.mean()) + def jt(u): + return [v.detach()for v in torch.autograd.grad(x,params,grad_outputs=u,retain_graph=True)] + def j(v): + return tangent(z.detach(),gp,v[-1][indices],dict(zip(gp,v[:-1]))).detach() + def kernel(u): + return j([p*v for p,v in zip(metric,jt(u))]) + rhs = .0085 * output_force + u = torch.zeros_like(rhs) + r = rhs.clone() + preconditioner = diag+damping + conditioned = r/preconditioner + direction = conditioned.clone() + rr = float((r*conditioned).sum()) + norm_rhs = float(rhs.norm()) + for iteration in range(max_iterations): + a = kernel(direction)+damping*direction + denominator = float((direction*a).sum()) + assert denominator>0 + alpha = rr/denominator + u += alpha*direction + r -= alpha*a + if float(r.norm())/norm_rhs<=1e-4:break + conditioned = r/preconditioner + new_rr = float((r*conditioned).sum()) + direction = conditioned+(new_rr/rr)*direction + rr = new_rr + actual_residual = float((kernel(u)+damping*u-rhs).norm())/norm_rhs + return [p*v for p,v in zip(metric,jt(u))], {'iterations':iteration+1, + 'relative_residual':actual_residual,'numerically_accepted':actual_residual<=1e-4, + 'independent_diagonal_relative_error':diagonal_error, + 'damping':damping,'mean_kernel_diagonal':float(diag.mean())} + + +def main(): + parser=argparse.ArgumentParser() + parser.add_argument('--panel',choices=('axes','corners'),default='axes') + parser.add_argument('--output',type=Path) + args=parser.parse_args() + torch.set_num_threads(1) + started=time.monotonic() + py,nr,tr=random.getstate(),np.random.get_state(),torch.get_rng_state().clone() + cuda_before=torch.cuda.get_rng_state_all() + root=ROOTS['ns_amsgrad'] + binding=inspect('ns_amsgrad',root,3) + batches,replay=recover(root,keep=16) + def forbidden(*a,**kw):raise AssertionError('No new draws after verified historical replay') + for name in ('rand','randn','randint','randperm','normal','multinomial'):setattr(torch,name,forbidden) + torch.nn.Module.__init__=forbidden + torch.optim.Optimizer.__init__=forbidden + s=torch.load(root/'provenance/provenance-state.pt',map_location='cpu',weights_only=True) + t,models=s['trainer'],s['trainer']['models'] + gp={k:v.double().clone().requires_grad_()for k,v in models['G'].items()} + dp={k:v.double()for k,v in models['D'].items()} + prior=models['prior']['z'].double().clone().requires_grad_() + params=list(gp.values())+[prior] + metric=[] + for group in t['optimizers'][0]['param_groups']: + for index in group['params']: + state=t['optimizers'][0]['state'][index] + metric.append(1/((state['max_exp_avg_sq'].double()/(1-group['betas'][1]**float(state['step']))).sqrt()+group['eps'])) + assert all(g['lr']==.0085 for g in t['optimizers'][0]['param_groups']) + totals={name:[torch.zeros_like(p)for p in params]for name in ('ns_only_GN','ns_mmd_GN','ns_only_AMS','ns_mmd_AMS')} + observations=[] + for batch in batches: + print('Historical batch '+str(batch['step']),file=sys.stderr,flush=True) + indices=batch['indices'] + z=prior[indices]+float(models['prior']['sigma'])*batch['noise'].double() + x=mlp(z,gp) + loss=F.softplus(-mlp(x,dp,critic=True)).mean() + adv,=torch.autograd.grad(loss,x,retain_graph=True) + mmd=empirical_mmd_gradient(x.detach(),batch['real'].double()) + for name,grad in [('ns_only',adv.detach()),('ns_mmd',adv.detach()+mmd)]: + force=-len(x)*grad + delta,receipt=solve(x,z,gp,prior,indices,metric,force) + for out,v in zip(totals[name+'_GN'],delta):out+=v/len(batches) + raw_grads=torch.autograd.grad(x,params,grad_outputs=grad,retain_graph=True) + for out,p,g in zip(totals[name+'_AMS'],metric,raw_grads):out-=.0085*p*g/len(batches) + observations.append({'step':batch['step'],'objective':name,**receipt}) + request=json.loads((root/'request.json').read_text())['request'] + means=torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'],dtype=torch.float64) + offsets=(torch.cat((2*torch.eye(4),-2*torch.eye(4))).double()if args.panel=='axes' + else torch.tensor(list(itertools.product((-1.,1.),repeat=4)),dtype=torch.float64)) + z=(prior[:,None,:]+float(models['prior']['sigma'])*offsets[None,:,:]).flatten(0,1) + x=mlp(z,gp) + weights=torch.full((len(x),),1/len(x),dtype=torch.float64) + directions={} + for name,delta in totals.items(): + dz=delta[-1][:,None,:].expand(len(prior),len(offsets),4).reshape_as(z) + gv=tangent(z.detach(),gp,torch.zeros_like(z),dict(zip(gp,delta[:-1]))).detach() + pv=tangent(z.detach(),gp,dz,{k:torch.zeros_like(v)for k,v in gp.items()}).detach() + directions[name]={'G':shape_drift(x,gv,weights,means),'prior':shape_drift(x,pv,weights,means), + 'combined':shape_drift(x,gv+pv,weights,means)} + assert random.getstate()==py and np.array_equal(np.random.get_state()[1],nr[1]) + assert np.random.get_state()[0]==nr[0] and np.random.get_state()[2:]==nr[2:] + assert torch.equal(tr,torch.get_rng_state()) + assert all(torch.equal(a,b)for a,b in zip(cuda_before,torch.cuda.get_rng_state_all())) + result={'schema_version':1,'scope':'frozen_endpoint_actual128batch_sensitivity', + 'qualification_input':False,'training_updates_added':0,'new_independent_random_streams':0, + 'ambient_rng_unchanged':True,'historical_stream_replay':replay, + 'probe_sha256':sha(__file__),'replay_probe_sha256':sha(HERE/'replay_training_batches.py'), + 'core_probe_sha256':sha(HERE.parent/'r1r2-failure-diagnosis-20261022/saved_force_probe.py'), + 'mmd_gradient_autograd_max_abs_error':check_mmd_gradient(), + 'immutable_binding':binding['immutable_binding'],'checkpoint_sha256':binding['checkpoint_sha256'], + 'panel':args.panel,'directions':directions,'numerical_solves':observations, + 'all_solves_accepted':all(r['numerically_accepted']for r in observations), + 'MMD_widths':WIDTHS,'MMD_coefficient':1,'relative_damping':.01, + 'CG_max_iterations':1024,'CG_tolerance':1e-4,'diagnostic_wall_seconds':time.monotonic()-started, + 'limits':['All16suffix draw identities evaluated at one frozen endpoint, not historical modelstates.', + 'Mean of16independent hypothetical parameter directions; no parameters or optimizerstates updated.', + 'Original empirical128real rows and original128latent indices/noise; MMD target is empirical, no analyticmeans used in force.', + 'Fixed savedAMS metric, no newmoment or futurecritic refitting; no trained gate or qualification.']} + if args.output: + def compact(v): + if isinstance(v,dict):return{k:compact(x)for k,x in v.items()if k!='per_mode'} + return v + args.output.write_text(json.dumps(compact(result),indent=2,sort_keys=True,allow_nan=False)+'\n') + print(json.dumps(result,indent=2,sort_keys=True,allow_nan=False)) + + +if __name__=='__main__':main() diff --git a/reports/forge/r1r2-local-repair-20261022/gn_force_probe.py b/reports/forge/r1r2-local-repair-20261022/gn_force_probe.py new file mode 100644 index 000000000..2e2b849f4 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/gn_force_probe.py @@ -0,0 +1,162 @@ +"""Saved-only damped output Gauss-Newton prerequisite; no trainer update.""" +import argparse +import itertools +import json +from pathlib import Path +import random +import sys +import time + +import numpy as np +import torch +import torch.nn.functional as F + +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(HERE.parent / 'r1r2-failure-diagnosis-20261022')) +from saved_force_probe import ROOTS, inspect, mlp, sha, shape_drift, stats, tangent +from mmd_projection_probe import mmd_force, WIDTHS + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('--panel', choices=('axes', 'corners'), default='axes') + parser.add_argument('--output', type=Path) + parser.add_argument('--max-iterations', type=int, default=256) + args = parser.parse_args() + torch.set_num_threads(1) + started = time.monotonic() + py, nr, tr = random.getstate(), np.random.get_state(), torch.get_rng_state().clone() + def forbidden(*a, **kw): + raise AssertionError('Saved diagnostic forbids draws, models and optimizers') + for name in ('rand', 'randn', 'randint', 'randperm', 'normal', 'multinomial'): + setattr(torch, name, forbidden) + torch.nn.Module.__init__ = forbidden + torch.optim.Optimizer.__init__ = forbidden + root = ROOTS['ns_amsgrad'] + binding = inspect('ns_amsgrad', root, 3) + s = torch.load(root / 'provenance/provenance-state.pt', map_location='cpu', weights_only=True) + t, models = s['trainer'], s['trainer']['models'] + gp = {k:v.double().clone().requires_grad_() for k,v in models['G'].items()} + dp = {k:v.double() for k,v in models['D'].items()} + prior = models['prior']['z'].double().clone().requires_grad_() + request = json.loads((root / 'request.json').read_text())['request'] + means = torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'], dtype=torch.float64) + offsets = (torch.cat((2 * torch.eye(4), -2 * torch.eye(4))).double() if args.panel == 'axes' + else torch.tensor(list(itertools.product((-1., 1.), repeat=4)), dtype=torch.float64)) + z = (prior[:, None, :] + float(models['prior']['sigma']) * offsets[None, :, :]).flatten(0, 1) + x = mlp(z, gp) + params = list(gp.values()) + [prior] + metric = [] + for group in t['optimizers'][0]['param_groups']: + for j in group['params']: + state = t['optimizers'][0]['state'][j] + metric.append(1 / ((state['max_exp_avg_sq'].double() / (1 - group['betas'][1] ** float(state['step']))).sqrt() + group['eps'])) + pg = dict(zip(gp, metric[:-1])) + pprior = metric[-1][:, None, :].expand(len(prior), len(offsets), 4).reshape_as(z) + a0 = F.linear(z, gp['net.0.weight'], gp['net.0.bias']) + h0 = F.leaky_relu(a0, .2) + a2 = F.linear(h0, gp['net.2.weight'], gp['net.2.bias']) + h2 = F.leaky_relu(a2, .2) + d0 = torch.where(a0 > 0, torch.ones_like(a0), torch.full_like(a0, .2)) + d2 = torch.where(a2 > 0, torch.ones_like(a2), torch.full_like(a2, .2)) + b2 = gp['net.4.weight'][None, :, :] * d2[:, None, :] + b0 = torch.einsum('nci,ij->ncj', b2, gp['net.2.weight']) * d0[:, None, :] + prior_jac = b0 @ gp['net.0.weight'] + coordinates_diag = h2.square() @ pg['net.4.weight'].T + pg['net.4.bias'] + coordinates_diag = coordinates_diag + (b2.square() * (h0.square() @ pg['net.2.weight'].T + pg['net.2.bias'])[:, None, :]).sum(2) + coordinates_diag = coordinates_diag + (b0.square() * (z.square() @ pg['net.0.weight'].T + pg['net.0.bias'])[:, None, :]).sum(2) + coordinates_diag = (coordinates_diag + (prior_jac.square() * pprior[:, None, :]).sum(2)).detach() + diag = coordinates_diag.sum(1) + trace_check = [] + for i in (0, len(x)//2, len(x)-1): + actual = 0. + for c in (0, 1): + grad = torch.autograd.grad(x[i,c], params, retain_graph=True) + actual += sum(float((g.square() * p).sum()) for g,p in zip(grad, metric)) + trace_check.append(abs(actual-float(diag[i])) / max(actual, 1e-30)) + assert max(trace_check) < 1e-10 + mean_diagonal = float(diag.sum()) / x.numel() + damping = .01 * mean_diagonal + def transpose(u): + return [g.detach() for g in torch.autograd.grad(x, params, grad_outputs=u, retain_graph=True)] + def forward(v): + gd = dict(zip(gp, v[:-1])) + dz = v[-1][:, None, :].expand(len(prior), len(offsets), 4).reshape_as(z) + return tangent(z.detach(), gp, dz, gd).detach() + def kernel(u): + return forward([p*g for p,g in zip(metric, transpose(u))]) + adversarial = F.softplus(-mlp(x, dp, critic=True)).mean() + grad_adv, = torch.autograd.grad(adversarial, x, retain_graph=True) + grad_mmd = mmd_force(x.detach(), means) + # lr is the archived scalar rate; no gain or task-dependent coefficient. + rate = t['optimizers'][0]['param_groups'][0]['lr'] + rhs = -rate * len(x) * (grad_adv.detach() + grad_mmd) + u = torch.zeros_like(rhs) + residual = rhs.clone() + preconditioner = coordinates_diag + damping + conditioned = residual / preconditioner + direction = conditioned.clone() + rr = float((residual * conditioned).sum()) + norm_rhs = float(rhs.norm()) + history = [] + for iteration in range(args.max_iterations): + ad = kernel(direction) + damping * direction + denominator = float((direction * ad).sum()) + assert denominator > 0 + alpha = rr / denominator + u = u + alpha * direction + residual = residual - alpha * ad + conditioned = residual / preconditioner + new_rr = float((residual * conditioned).sum()) + history.append(float(residual.norm()) / norm_rhs) + if history[-1] <= 1e-4: + break + direction = conditioned + (new_rr / rr) * direction + rr = new_rr + delta = [p*g for p,g in zip(metric, transpose(u))] + gd = dict(zip(gp, delta[:-1])) + dz = delta[-1][:, None, :].expand(len(prior), len(offsets), 4).reshape_as(z) + gv = tangent(z.detach(), gp, torch.zeros_like(z), gd).detach() + pv = tangent(z.detach(), gp, dz, {k:torch.zeros_like(v)for k,v in gp.items()}).detach() + ordinary_delta = [-rate * g * p for g,p in zip(torch.autograd.grad(adversarial + (x*grad_mmd).sum(), params, retain_graph=True), metric)] + ordinary = forward(ordinary_delta) + weights = torch.full((len(x),), 1/len(x), dtype=torch.float64) + result = {'schema_version': 1, 'scope': 'saved_endpoint_damped_output_gauss_newton_prerequisite', + 'qualification_input': False, 'training_updates_added': 0, 'random_draws_added': 0, + 'probe_sha256': sha(__file__), 'core_probe_sha256': sha(HERE.parent / 'r1r2-failure-diagnosis-20261022/saved_force_probe.py'), + 'mmd_probe_sha256': sha(HERE.parent / 'r1r2-failure-diagnosis-20261022/mmd_projection_probe.py'), + 'immutable_binding': binding['immutable_binding'], 'checkpoint_sha256': binding['checkpoint_sha256'], + 'panel': args.panel, 'points': len(x), 'MMD_widths': WIDTHS, 'MMD_weight': 1, + 'metric': 'archived AMS maximum-second-moment diagonal inverse, shared G and learned prior', + 'gauss_newton': {'relative_damping': .01, 'mean_kernel_diagonal': mean_diagonal, + 'absolute_damping': damping, 'maximum_CG_iterations': args.max_iterations, 'relative_tolerance': 1e-4, + 'solver': 'diagonal-preconditioned conjugate gradient, same damped normal equation', + 'iterations': len(history), 'residual_history': history, + 'analytic_trace_relative_error_max': max(trace_check), + 'fitted_velocity_relative_error': float((gv+pv-rhs).norm()) / float(rhs.norm()), + 'linear_solve_relative_residual': float((kernel(u)+damping*u-rhs).norm()) / float(rhs.norm())}, + 'directions': {'desired_free_output': shape_drift(x, rhs, weights, means), + 'ordinary_AMS': shape_drift(x, ordinary, weights, means), + 'gauss_newton_G': shape_drift(x, gv, weights, means), + 'gauss_newton_prior': shape_drift(x, pv, weights, means), + 'gauss_newton_combined': shape_drift(x, gv+pv, weights, means)}, + 'parameter_delta': stats(torch.cat([d.flatten()for d in delta])), + 'diagnostic_wall_seconds': time.monotonic()-started, + 'limits': ['Frozen endpoint metric and Jacobian; future AMS moments/critic refits not simulated.', + 'Deterministic analysis panels; not original stochastic128training minibatches.', + 'Hypothesis changes generator/prior update geometry and adds fixedMMD; no trained gate or global recipe pass.', + 'Original target Gaussian expectation uses means only to integrate analysis; runtime requires only real batches.']} + assert random.getstate() == py and np.array_equal(np.random.get_state()[1], nr[1]) + assert np.random.get_state()[0] == nr[0] and np.random.get_state()[2:] == nr[2:] + assert torch.equal(tr, torch.get_rng_state()) + result['ambient_rng_unchanged'] = True + if args.output: + def compact(v): + if isinstance(v,dict):return {k:compact(x)for k,x in v.items()if k!='per_mode'} + return v + args.output.write_text(json.dumps(compact(result),indent=2,sort_keys=True,allow_nan=False)+'\n') + print(json.dumps(result,indent=2,sort_keys=True,allow_nan=False)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-local-repair-20261022/local_repair_probe.py b/reports/forge/r1r2-local-repair-20261022/local_repair_probe.py new file mode 100644 index 000000000..6cf666c37 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/local_repair_probe.py @@ -0,0 +1,164 @@ +"""Saved-only prerequisite for a data-local density repair, not a trained gate.""" +import argparse +import importlib.util +import json +from pathlib import Path +import random +import sys +import time +import itertools + +import numpy as np +import torch +import torch.nn.functional as F + +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(HERE.parent / 'r1r2-failure-diagnosis-20261022')) +from saved_force_probe import ROOTS, inspect, mlp, sha, shape_drift, stats, tangent + + +def conditional_moments(fake, real): + x, y = fake.flatten(1), real.detach().flatten(1) + n, dim = x.shape + distances = torch.cdist(y, y).square() + other = distances.clone() + other.fill_diagonal_(float('inf')) + scale = (y - y.mean(0)).square().mean() + if float(scale) == 0: + return x.sum() * 0 + floor = torch.finfo(x.dtype).eps * scale + width = other.kthvalue(min(4, n-1), dim=0).values.clamp_min(floor) + losses = [] + for multiplier in (1., 2., 4.): + p = torch.exp(-distances / (2 * multiplier**2 * width[None, :])) + q = torch.exp(-torch.cdist(x, y).square() / (2 * multiplier**2 * width[None, :])) + p = p / p.sum(0) + qsum = q.sum(0) + effective = qsum.square() / q.square().sum(0).clamp_min(torch.finfo(x.dtype).tiny) + q = q / qsum.clamp_min(torch.finfo(x.dtype).tiny) + mp, mq = p.T @ y, q.T @ x + cp = torch.einsum('ba,bai,baj->aij', p, y[:, None, :] - mp[None, :, :], y[:, None, :] - mp[None, :, :]) + cq = torch.einsum('ba,bai,baj->aij', q, x[:, None, :] - mq[None, :, :], x[:, None, :] - mq[None, :, :]) + normp = cp.square().sum((1, 2)) + tracep = cp.diagonal(dim1=1, dim2=2).sum(1) + valid = (tracep > floor) & (effective.detach() >= 2) & (qsum.detach() > torch.finfo(x.dtype).eps) + residual = (mq-mp).square().sum(1) / tracep.clamp_min(floor) + residual = residual + (cq-cp).square().sum((1, 2)) / normp.clamp_min(floor.square()) + losses.append(torch.where(valid, residual, torch.zeros_like(residual)).mean()) + return torch.stack(losses).mean() + + +def score_transport(fake, real): + x, y = fake.flatten(1), real.detach().flatten(1) + with torch.no_grad(): + rr = torch.cdist(y, y).square() + rr.fill_diagonal_(float('inf')) + width = rr.kthvalue(min(4, len(y)-1), dim=0).values + scale = (y-y.mean(0)).square().mean() + if float(scale) == 0: + return x.sum() * 0 + floor = torch.finfo(x.dtype).eps * scale + xy = torch.cdist(x.detach(), y).square() + h2 = width[xy.argmin(1)].clamp_min(floor) + xx = torch.cdist(x.detach(), x.detach()).square() + logits = -xx / (2 * h2[:, None]) + logits.fill_diagonal_(-float('inf')) + fake_mean = logits.softmax(1) @ x.detach() + real_mean = (-xy / (2 * h2[:, None])).softmax(1) @ y + force = (real_mean - fake_mean) / h2[:, None] + return -(x * force).sum(1).mean() + + +def main(): + parser = argparse.ArgumentParser() + parser.add_argument('--panel', choices=('axes', 'corners'), default='axes') + parser.add_argument('--output', type=Path) + parser.add_argument('--mechanism', choices=('local', 'conditional', 'score'), default='score') + args = parser.parse_args() + torch.set_num_threads(1) + started = time.monotonic() + py, nr, tr = random.getstate(), np.random.get_state(), torch.get_rng_state().clone() + def forbidden(*a, **kw): + raise AssertionError('Saved probe forbids models, optimizers and draws') + for name in ('rand', 'randn', 'randint', 'randperm', 'normal', 'multinomial'): + setattr(torch, name, forbidden) + torch.nn.Module.__init__ = forbidden + torch.optim.Optimizer.__init__ = forbidden + root = ROOTS['ns_amsgrad'] + binding = inspect('ns_amsgrad', root, 3) + s = torch.load(root / 'provenance/provenance-state.pt', map_location='cpu', weights_only=True) + t, models = s['trainer'], s['trainer']['models'] + gp = {k: v.double().clone().requires_grad_() for k,v in models['G'].items()} + dp = {k: v.double() for k,v in models['D'].items()} + prior = models['prior']['z'].double().clone().requires_grad_() + request = json.loads((root / 'request.json').read_text())['request'] + means = torch.tensor(request['tasks']['ring16_acquisition']['execution']['host_definition']['means'], dtype=torch.float64) + sigma = float(models['prior']['sigma']) + offsets = (torch.cat((2 * torch.eye(4), -2 * torch.eye(4))).double() if args.panel == 'axes' + else torch.tensor(list(itertools.product((-1., 1.), repeat=4)), dtype=torch.float64)) + z = (prior[:, None, :] + sigma * offsets[None, :, :]).flatten(0, 1) + x = mlp(z, gp) + weight = torch.full((len(x),), 1 / len(x), dtype=torch.float64) + # A deterministic2D cubature fixture; mean and covariance equal original law. + # Recipe function gets only these coordinates, never component means/labels. + angles = torch.arange(8, dtype=torch.float64) * (torch.pi / 4) + (torch.pi / 16 if args.panel == 'corners' else 0) + real_offsets = np.sqrt(2) * .1 * torch.stack((angles.cos(), angles.sin()), 1) + real = (means[:, None, :] + real_offsets[None, :, :]).flatten(0, 1) + path = HERE.parents[2] / 'particlegan/kinetic_transport.py' + spec = importlib.util.spec_from_file_location('bound_local_transport', path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + mechanism = {'local': module.kinetic_transport_local_loss, 'conditional': conditional_moments, 'score': score_transport}[args.mechanism] + local = sum(mechanism(batch, real) for batch in x.split(128)) / (len(x) / 128) + adversarial = F.softplus(-mlp(x, dp, critic=True)).mean() + params = list(gp.values()) + [prior] + opt = t['optimizers'][0] + denominator, rates = [], [] + for group in opt['param_groups']: + for j in group['params']: + saved = opt['state'][j] + denominator.append((saved['max_exp_avg_sq'].double() / (1 - group['betas'][1] ** float(saved['step']))).sqrt() + group['eps']) + rates.append(group['lr']) + results = {} + for name, loss in [('adversarial', adversarial), ('local', local), ('combined', adversarial + local)]: + grads = torch.autograd.grad(loss, params, retain_graph=True) + directions = [-lr * g / d for g,d,lr in zip(grads, denominator, rates)] + gd = dict(zip(gp, directions[:-1])) + pd = directions[-1][:, None, :].expand(len(prior), len(offsets), 4).reshape_as(z) + gv = tangent(z.detach(), gp, torch.zeros_like(z), gd).detach() + pv = tangent(z.detach(), gp, pd, {k: torch.zeros_like(v) for k,v in gp.items()}).detach() + output_gradient, = torch.autograd.grad(loss, x, retain_graph=True) + results[name] = {'loss': float(loss.detach()), + 'unprojected': shape_drift(x, -output_gradient / weight[:, None], weight, means), + 'G': shape_drift(x, gv, weight, means), 'prior': shape_drift(x, pv, weight, means), + 'combined': shape_drift(x, gv + pv, weight, means), + 'G_velocity': stats(gv), 'prior_velocity': stats(pv)} + assert random.getstate() == py and np.array_equal(np.random.get_state()[1], nr[1]) + assert np.random.get_state()[0] == nr[0] and np.random.get_state()[2:] == nr[2:] + assert torch.equal(tr, torch.get_rng_state()) + result = {'schema_version': 1, 'scope': 'saved_endpoint_local_density_prerequisite', + 'qualification_input': False, 'training_updates_added': 0, 'random_draws_added': 0, + 'ambient_rng_unchanged': True, 'probe_sha256': sha(__file__), + 'core_probe_sha256': sha(HERE.parent / 'r1r2-failure-diagnosis-20261022/saved_force_probe.py'), + 'immutable_binding': binding['immutable_binding'], 'checkpoint_sha256': binding['checkpoint_sha256'], + 'mechanism_source': {'path': 'particlegan/kinetic_transport.py', 'sha256': sha(path)}, + 'recipe_delta': {'auxiliary': args.mechanism, 'weight': [0, 1]}, + 'panel': {'rule': args.panel, 'fake_points': len(x), 'equal_training_batch_size': 128, + 'target': '16 original Gaussian means times8 radius-sqrt2sigma octagon points; covariance exact, higher moments approximate', + 'objective_uses_component_labels_or_means': False}, + 'directions': results, 'diagnostic_wall_seconds': time.monotonic() - started, + 'limits': ['Endpoint linearization only; not a trained gate or qualification.', + 'Fixed analytical cubature fixtures replace random draws for diagnosis only.', + 'Same target128-point cubature fixture reused across deterministic fake128 blocks; actual training batches remain independent.', + 'Saved Adam denominator fixed; no future moment update, momentum or critic refitting.']} + if args.output: + def compact(v): + if isinstance(v, dict): + return {k: compact(x) for k,x in v.items() if k != 'per_mode'} + return v + args.output.write_text(json.dumps(compact(result), indent=2, sort_keys=True, allow_nan=False) + '\n') + print(json.dumps(result, indent=2, sort_keys=True, allow_nan=False)) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-local-repair-20261022/repair-prerequisites.json b/reports/forge/r1r2-local-repair-20261022/repair-prerequisites.json new file mode 100644 index 000000000..35e1f9bfc --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/repair-prerequisites.json @@ -0,0 +1,299 @@ +{ + "GN_actual128_empirical_sensitivity": { + "axes": { + "directions": { + "ns_mmd_AMS": { + "center_squared_error_drift": -4.0429614393564925, + "original_covariance_error_drift": 0.1869378029592464, + "radial_variance_drift": 0.06096433087924077, + "tangent_variance_drift": 0.31524136463387414 + }, + "ns_mmd_GN": { + "center_squared_error_drift": -0.006963616979634816, + "original_covariance_error_drift": -9.242402975849326e-05, + "radial_variance_drift": 0.000755069905698107, + "tangent_variance_drift": 0.0001610220409422094 + }, + "ns_only_AMS": { + "center_squared_error_drift": -0.9777072345987882, + "original_covariance_error_drift": 0.008205450889382007, + "radial_variance_drift": -0.016562590236462234, + "tangent_variance_drift": 0.011028592166307548 + }, + "ns_only_GN": { + "center_squared_error_drift": -0.0015166397167496232, + "original_covariance_error_drift": -0.0001713469620129072, + "radial_variance_drift": -2.1696209735254802e-05, + "tangent_variance_drift": -0.00026623365959653017 + } + }, + "iterations_max": 134, + "iterations_min": 109, + "maximum_relative_residual": 9.923232538623675e-05 + }, + "corners": { + "directions": { + "ns_mmd_AMS": { + "center_squared_error_drift": -3.9999185623399667, + "original_covariance_error_drift": 0.1917928730977932, + "radial_variance_drift": 0.061381794148559723, + "tangent_variance_drift": 0.3221317499291344 + }, + "ns_mmd_GN": { + "center_squared_error_drift": -0.006874139388862957, + "original_covariance_error_drift": -0.00010547589684520345, + "radial_variance_drift": 0.0007744463832079316, + "tangent_variance_drift": 0.00014544806276764054 + }, + "ns_only_AMS": { + "center_squared_error_drift": -0.9576844945401476, + "original_covariance_error_drift": 0.0073766081227227154, + "radial_variance_drift": -0.017010068099021225, + "tangent_variance_drift": 0.010822072820810802 + }, + "ns_only_GN": { + "center_squared_error_drift": -0.0014498294120479992, + "original_covariance_error_drift": -0.00017272292856776184, + "radial_variance_drift": -8.340613693924801e-06, + "tangent_variance_drift": -0.000259711689229077 + } + }, + "iterations_max": 134, + "iterations_min": 109, + "maximum_relative_residual": 9.923232538623675e-05 + } + }, + "GN_population_proxy": { + "axes": { + "GN": { + "center_squared_error_drift": -0.006522910987670577, + "original_covariance_error_drift": -0.012520200280259875, + "radial_variance_drift": 0.0010134784049518212, + "tangent_variance_drift": -0.01873971389370935 + }, + "iterations": 555, + "ordinary_AMS": { + "center_squared_error_drift": -3.537924769363921, + "original_covariance_error_drift": 0.16026532179466002, + "radial_variance_drift": 0.044453878456446855, + "tangent_variance_drift": 0.2689078884672538 + }, + "relative_residual": 9.601812378975185e-05 + }, + "corners": { + "GN": { + "center_squared_error_drift": -0.0069056686829919505, + "original_covariance_error_drift": -0.012323850173773031, + "radial_variance_drift": 0.0009730612190804759, + "tangent_variance_drift": -0.018345876104893178 + }, + "iterations": 794, + "ordinary_AMS": { + "center_squared_error_drift": -3.750018581207952, + "original_covariance_error_drift": 0.17117388782783544, + "radial_variance_drift": 0.03705801835713429, + "tangent_variance_drift": 0.2838379196209242 + }, + "relative_residual": 9.631032348765912e-05 + } + }, + "conclusion": { + "actual128_caveat": "MMD+GN corrects radial/center and weakly covariance but slightly expands alreadywide tangent; NS-onlyGN contracts radial", + "next": "Do not admit a trainedGNcomparison from this proxy alone; resolve accurate bounded runtime and allhost contracts, or select a separately justified mechanism.", + "rejected_saved_prerequisites": [ + "relative local feature means weight1: centering regression", + "conditional first/fullcovariance moments: radial contraction and panel-sensitive centering", + "KDEtarget-minus-fake score transport: covariance/tangent regression after projection" + ], + "runtime_caveat": "Accurate archivedfloat64 batch solves need109-134iterations; current genericfloat32CUDA solver runtime/accuracy do not establish a complete affordable global recipe", + "supported_but_unqualified_hypothesis": "FixedMMD plus damped output-tangent G/prior update; ordinary critic/R1R2 preserved" + }, + "diagnostic_runtime": { + "device": "cpu", + "floating_dtype": "torch.float64", + "historical_replay": "CPUtarget and CUDAoriginalpriorindex/Gaussian generator clones, not a model run", + "threads": 1 + }, + "historical_draw_replay": { + "full_actual_target_sequence_sha256": "735336a51834a6075b65ff45638dd9d44f523e667dc824d61765176a15a83b1a", + "historical_draws_replayed": true, + "historical_model_parameters_reconstructed": false, + "new_independent_streams": 0, + "prior_index_batches_replayed": 3200, + "prior_noise_batches_replayed": 3200, + "retained_generator_steps": [ + 1585, + 1586, + 1587, + 1588, + 1589, + 1590, + 1591, + 1592, + 1593, + 1594, + 1595, + 1596, + 1597, + 1598, + 1599, + 1600 + ], + "scope": "exact historical named-stream replay; no model/trainer replay", + "source_digest": "2b04f2853c511c9bcd417ef41e8fd773e97e8c67c9e057da8abdd4fef2de5f12", + "source_files": { + "benchmarks/transfer_suite/vector_tasks.py": "3ee4eb27759f61a430029c80b7772cac3dca2fb2ac84919ace0db94efca1e0b0", + "experiments/forge/state.py": "2eb9613f8e85c63240499307a81c5af429b23cfa1f0ed08c126630a76ed887b5", + "particlegan/particle_prior.py": "0220878bebea227da63abbf9f5b1ebdabdc6aea54fd2332fd2cab02ed734238f", + "particlegan/training.py": "1437b41865b8670544823125bade26bff1b9552b8b641d144d3a89e6cf1d45fd" + }, + "stream_checkpoints": { + "data": { + "device": "cpu", + "final_state_sha256": "3a39c871c4c090f9b55e47494224af8164b2288af73ef63e7db60e37c9831f70", + "initial_state_sha256": "5f6b6f690d2c5963f4945c7af5e1cd2653b1929e9d7b971fdd2222ad648f78f6", + "key": "[\"data\",\"target\",\"training\",\"cpu\"]", + "matches_archived_terminal_state": true, + "seed": 2842969976240124311 + }, + "indices": { + "device": "cuda:0", + "final_state_sha256": "195ca24cbf618cdd6660e538b8e5721ed2be9d76d0edbd7b96d6b1328adf293c", + "initial_state_sha256": "aa2f89742ac1d2c95ef3379ad9ba7a080c557c66258f9dff0dabf5d85a6db3cc", + "key": "[\"prior\",\"latent\",\"indices\",\"cuda:0\"]", + "matches_archived_terminal_state": true, + "seed": 5876435880110660064 + }, + "noise": { + "device": "cuda:0", + "final_state_sha256": "db56c0f57713b92e437f825a86d3129007bde83a845031a665648566625d5bc7", + "initial_state_sha256": "46a0fb6a2510c83ebfa98bc289a73c096cc0fa24f40136bb998b0edecd8871e5", + "key": "[\"noise\",\"prior\",\"gaussian\",\"cuda:0\"]", + "matches_archived_terminal_state": true, + "seed": 939191808430552031 + } + }, + "target_batches_verified": 1600, + "target_rows_replayed": 204800, + "tensor_bundle_sha256": "adf5c549fbd1322eaab05e7b2babc4b73092c0672eb04fb617f2167643e68fe1", + "training_updates_added": 0 + }, + "negative_auxiliaries": { + "conditional": { + "axes": { + "center_squared_error_drift": -5463.659029485991, + "original_covariance_error_drift": -384.65605294739237, + "radial_variance_drift": -148.79491600312247, + "tangent_variance_drift": -625.3185982568981 + }, + "corners": { + "center_squared_error_drift": 2583.8663537128828, + "original_covariance_error_drift": -351.4983554301132, + "radial_variance_drift": -164.15727506683922, + "tangent_variance_drift": -580.875940912789 + } + }, + "local": { + "axes": { + "center_squared_error_drift": 25.9036324777888, + "original_covariance_error_drift": -0.6390419222785206, + "radial_variance_drift": 0.4024405096525222, + "tangent_variance_drift": -0.9141243509159909 + }, + "corners": { + "center_squared_error_drift": 68.27752415365897, + "original_covariance_error_drift": -2.207154110133864, + "radial_variance_drift": 0.47984298920961604, + "tangent_variance_drift": -3.461348444902847 + } + }, + "score": { + "axes": { + "center_squared_error_drift": -107.82854674127054, + "original_covariance_error_drift": 4.429995081106847, + "radial_variance_drift": 0.2602260892284211, + "tangent_variance_drift": 7.120683694102209 + }, + "corners": { + "center_squared_error_drift": -105.50794186112002, + "original_covariance_error_drift": 4.5358351696068615, + "radial_variance_drift": -0.21450776070526525, + "tangent_variance_drift": 7.146762314579404 + } + } + }, + "new_independent_random_streams": 0, + "qualification_input": false, + "raw_receipts": { + "GN_actual128_axes": { + "diagnostic_wall_seconds": 4.718662811035756, + "driver_sha256": "e55cc3281bfe09402fdb7b640ce3b98b58dd48b8e35f8f9c78a8a87c660dd3c8", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/gn-batch-axes.stdout.json", + "sha256": "1e2a96783e2e309ebb3060734a129e6b91025795f152b571dd9219f00a463f39" + }, + "GN_actual128_corners": { + "diagnostic_wall_seconds": 4.824566906958353, + "driver_sha256": "e55cc3281bfe09402fdb7b640ce3b98b58dd48b8e35f8f9c78a8a87c660dd3c8", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/gn-batch-corners.stdout.json", + "sha256": "ac3b7fb9f02aa86e3644de4209f48c6c1edcf7582c66cf33078fedfb1d131240" + }, + "GN_population_axes": { + "diagnostic_wall_seconds": 4.467693652026355, + "driver_sha256": "de2e91308210b5bc5df69127286f5c8ff7212c120dc25a3f75ef34770448a265", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/gn-force-pcg1024-axes.stdout.json", + "sha256": "c9522ab90390c1e60f03127385f3eba860573eecb3e6021d1691109c799d9b8f" + }, + "GN_population_corners": { + "diagnostic_wall_seconds": 18.819422396016307, + "driver_sha256": "de2e91308210b5bc5df69127286f5c8ff7212c120dc25a3f75ef34770448a265", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/gn-force-pcg1024-corners.stdout.json", + "sha256": "ca67e2a0052c8e006f7fcfa135d09c912e66beacaf4688c957f808865233796c" + }, + "conditional_axes": { + "diagnostic_wall_seconds": 2.843490567000117, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-conditional-axes.stdout.json", + "sha256": "0f34bd913b0e2b0b1c759d7217e73489964342ab5ee61d94abfe8716e93ca925" + }, + "conditional_corners": { + "diagnostic_wall_seconds": 3.2591807920252904, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-conditional-corners.stdout.json", + "sha256": "decfc924e6ff614ddd94c5ea1fb12f56aa089e2395c3f60a73bbdb471078eedf" + }, + "local_axes": { + "diagnostic_wall_seconds": 2.494136189983692, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-local-axes.stdout.json", + "sha256": "132a080265d9f2e1b105fcd6d5706a237c15c395dae6529e38b0d98855b2e598" + }, + "local_corners": { + "diagnostic_wall_seconds": 2.6934577070060186, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-local-corners.stdout.json", + "sha256": "911bb802aff54fb8af92396ea3725fc8b924ad112ff52f205e16545d086a307f" + }, + "score_axes": { + "diagnostic_wall_seconds": 2.4585621469886974, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-score-axes.stdout.json", + "sha256": "c3f15952ba83a629b20bf99540f199a46b74b06fdf00ed9e70f75f6230ea4d0d" + }, + "score_corners": { + "diagnostic_wall_seconds": 2.742494240985252, + "driver_sha256": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022/final-score-corners.stdout.json", + "sha256": "1769cbcbcb376ac2651a0a3a1bd98e29d078f0d133410dd4b8b5fe2ff5ac422b" + } + }, + "schema_version": 1, + "scope": "saved_only_repair_prerequisite_summary", + "source_pins": { + "gn_batch_probe.py": "e55cc3281bfe09402fdb7b640ce3b98b58dd48b8e35f8f9c78a8a87c660dd3c8", + "gn_force_probe.py": "de2e91308210b5bc5df69127286f5c8ff7212c120dc25a3f75ef34770448a265", + "local_repair_probe.py": "1238ae9cdda01164efa08330ba98eee0bf928e76f3033d73462f65cd8ce43321", + "replay_training_batches.py": "d62016dd19ceb32488724de8695fcc8d18577a1e4414a99bd8dcb3de7e4ea18a", + "summarize_repair.py": "3974890018c78fe9d9b29998ce36b0e0ab6fadb25ae2bb80d98e94c5ac6922b3" + }, + "training_updates_added": 0 +} diff --git a/reports/forge/r1r2-local-repair-20261022/replay_training_batches.py b/reports/forge/r1r2-local-repair-20261022/replay_training_batches.py new file mode 100644 index 000000000..1b154bef6 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/replay_training_batches.py @@ -0,0 +1,82 @@ +"""Recover original batch draw identities, checking full sequence and RNG state. + +No model is constructed or trained. Original CPU target and CUDA index/noise +streams are replayed independently from their receipt-bound seeds. Returned +latent row/noise identities may be evaluated only with explicitly frozen models; +they do not reconstruct intermediate historical generator or prior parameters. +""" +import ast +import hashlib +import json +import math +from pathlib import Path + +import torch + + +def state_sha(value): + return hashlib.sha256(value.detach().cpu().contiguous().numpy().tobytes()).hexdigest() + + +def extract(path, names, namespace): + tree = ast.parse(path.read_text()) + nodes = [n for n in tree.body if isinstance(n, (ast.FunctionDef, ast.AsyncFunctionDef)) and n.name in names] + assert len(nodes) == len(names) + exec(compile(ast.Module(body=nodes, type_ignores=[]), str(path), 'exec'), namespace) + return namespace + + +def recover(root, keep=16): + root = Path(root) + request = json.loads((root / 'request.json').read_text())['request'] + raw = json.loads((root / 'raw-result.json').read_text()) + state = torch.load(root / 'provenance/provenance-state.pt', map_location='cpu', weights_only=True) + source = request['source'] + snapshot = Path(source['snapshot_path']) + rels = ['benchmarks/transfer_suite/vector_tasks.py', 'experiments/forge/state.py', 'particlegan/training.py', 'particlegan/particle_prior.py'] + for relative in rels: + assert hashlib.sha256((snapshot/relative).read_bytes()).hexdigest() == source['files'][relative] + sample = extract(snapshot / rels[0], {'sample_target', 'target_scale'}, {'torch': torch, 'math': math})['sample_target'] + digest = extract(snapshot / rels[1], {'state_digest'}, {'torch': torch, 'hashlib': hashlib, 'json': json})['state_digest'] + manifest, archived_states = state['streams']['manifest']['bindings'], state['streams']['states'] + keys = {'data': '["data","target","training","cpu"]', + 'indices': '["prior","latent","indices","cuda:0"]', + 'noise': '["noise","prior","gaussian","cuda:0"]'} + cloned = {} + checkpoints = {} + for name,key in keys.items(): + binding = manifest[key] + cloned[name] = torch.Generator(device=binding['device']).manual_seed(binding['seed']) + checkpoints[name] = {'key': key, 'seed': binding['seed'], 'device': binding['device'], + 'initial_state_sha256': state_sha(cloned[name].get_state())} + assert checkpoints[name]['initial_state_sha256'] == binding['initial_state_sha256'] + task = request['tasks']['ring16_acquisition'] + spec = task['execution']['host_definition'] + assert state['trainer']['completed_steps'] == 1600 and state['recipe']['batch_size'] == 128 + assert state['recipe']['input_noise_std'] == state['recipe']['output_noise_std'] == state['recipe']['latent_damping_max_rate'] == 0 + sequence = hashlib.sha256(b'forge-actual-target-batches-v1\0').hexdigest() + batches = [] + for step in range(1, 1601): + real = sample(spec, 128, cloned['data'], step-1) + sequence = hashlib.sha256(bytes.fromhex(sequence) + bytes.fromhex(digest(real))).hexdigest() + for role in ('critic', 'generator'): + indices = torch.randint(0, 256, (128,), device='cuda:0', generator=cloned['indices']) + noise = torch.randn((128, 4), device='cuda:0', dtype=torch.float32, generator=cloned['noise']) + if step > 1600-keep and role == 'generator': + batches.append({'step': step, 'real': real.clone(), 'indices': indices.cpu(), 'noise': noise.cpu()}) + comparison = raw['evidence']['comparison_protocol'] + for role in ('critic', 'generator'): + assert comparison['actual_target_batches'][role] == {'batches': 1600, 'samples': 204800, 'sha256': sequence} + for name,key in keys.items(): + final = cloned[name].get_state().cpu() + assert torch.equal(final, archived_states[key]) + checkpoints[name]['final_state_sha256'] = state_sha(final) + checkpoints[name]['matches_archived_terminal_state'] = True + return batches, {'scope': 'exact historical named-stream replay; no model/trainer replay', + 'source_digest': source['digest'], 'source_files': {r:source['files'][r]for r in rels}, + 'full_actual_target_sequence_sha256': sequence, 'target_batches_verified': 1600, + 'target_rows_replayed': 204800, 'prior_index_batches_replayed': 3200, + 'prior_noise_batches_replayed': 3200, 'retained_generator_steps': [r['step']for r in batches], + 'stream_checkpoints': checkpoints, 'tensor_bundle_sha256': digest(batches), + 'new_independent_streams': 0, 'training_updates_added': 0, + 'historical_draws_replayed': True, 'historical_model_parameters_reconstructed': False} diff --git a/reports/forge/r1r2-local-repair-20261022/summarize_ddgan.py b/reports/forge/r1r2-local-repair-20261022/summarize_ddgan.py new file mode 100644 index 000000000..bfc2d2280 --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/summarize_ddgan.py @@ -0,0 +1,97 @@ +"""Compact original DDGAN failure and saved-field receipts; never regrade a run.""" +import hashlib +import json +from pathlib import Path + +from ddgan_critic_field_probe import INPUT_HASHES, ROOT, SOURCE, sha + +HERE = Path(__file__).resolve().parent +ARTIFACTS = Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-ddgan-diagnosis-20261022') +REPO = HERE.parents[2] + + +def main(): + for relative, digest in INPUT_HASHES.items(): + assert sha(ROOT / relative) == digest + raw = json.loads((ROOT / 'raw-result.json').read_text()) + receipt = json.loads((ROOT / 'api/receipt.json').read_text()) + records = [] + for order in (2, 3): + path = ARTIFACTS / f'final-critic-field-order{order}.json' + record = json.loads(path.read_text()) + assert record['driver_sha256'] == sha(HERE / 'ddgan_critic_field_probe.py') + assert record['checkpoint_sha256'] == INPUT_HASHES['api/final-state.pt'] + assert record['request_sha256'] == INPUT_HASHES['request.json'] + assert record['raw_result_sha256'] == INPUT_HASHES['raw-result.json'] + assert record['source_digest'] == SOURCE + records.append(dict(order=order, raw_path=str(path), raw_sha256=sha(path), + fake_latent_points=record['fake_latent_points'], + gradient_norms=record['gradient_norms'], wall_seconds=record['wall_seconds'], + opposed_contexts=sum(p['initial_alignment'] < 0 for p in record['panels']), + positive_alignment_derivatives={key: sum(p['alignment_derivative'][key] > 0 + for p in record['panels']) for key in record['panels'][0]['alignment_derivative']}, + panels=record['panels'])) + a, b = records + assert [p['label'] for p in a['panels']] == [p['label'] for p in b['panels']] + sign = lambda x: (x > 0) - (x < 0) + same_field = all(sign(p['initial_alignment']) == sign(q['initial_alignment']) + for p, q in zip(a['panels'], b['panels'])) + same_directions = {key: all(sign(p['alignment_derivative'][key]) == + sign(q['alignment_derivative'][key]) for p, q in zip(a['panels'], b['panels'])) + for key in a['panels'][0]['alignment_derivative']} + observations = [o for o in receipt['observations'] if o['step'] > 0] + live = raw['evidence']['live'] + keys = ('projection_cdf', 'normalized_mean', 'covariance_eigen_min', 'covariance_eigen_max') + panels = ['final'] + [f't{t}_q{q}' for t in range(1, 5) for q in range(2)] + historical_path = REPO / 'reports/forge/ddgan-failure-investigation/results.json' + historical = json.loads(historical_path.read_text()) + historical_ddgan = historical['tasks']['model_ddgan_gaussian_chain'] + old_endpoint = historical_ddgan['saved_terminal_suffix']['endpoint_metrics'] + result = dict(schema='r1r2_ddgan_saved_diagnosis_v1', qualification_input=False, + training_updates_added=0, random_draws_added=0, regraded=False, + attempt='32a62170283a41158410c13744709fb8', artifact_root=str(ROOT), + source_digest=SOURCE, original_input_sha256=INPUT_HASHES, + probe_sha256=sha(HERE / 'ddgan_critic_field_probe.py'), + summary_source_sha256=sha(__file__), + original_verdict=receipt['verdict'], + original_contract=dict(seed=receipt['seed'], completed_updates=receipt['completed_updates'], + batch_size=receipt['case']['batch_size'], eval_samples=receipt['case']['eval_samples'], + observations=len(observations), terminal_observations=5, + recipe=receipt['recipe'], prior=raw['prior_contract'], + initializer=raw['initializer'], sampling=receipt['case']['sampling'], + batch_sequence_sha256=raw['evidence']['batch_sequence_sha256']), + original_endpoint={panel: {key: live[f'{panel}_{key}'] for key in keys} for panel in panels}, + original_trace=dict(passing_joint_observations=sum(o['passed'] for o in observations), + t1_cdf_pass_counts={f'q{q}': sum(o['metrics'][f't1_q{q}_projection_cdf'] <= .12 + for o in observations) for q in (0, 1)}, + final_cdf_range=[min(o['metrics']['final_projection_cdf'] for o in observations), + max(o['metrics']['final_projection_cdf'] for o in observations)], + terminal_final_cdf=[o['metrics']['final_projection_cdf'] for o in observations[-5:]]), + historical_comparison=dict(source=historical['source'], report_sha256=sha(historical_path), + original_publication_sha256=historical['original_publication_sha256'], + checkpoint_sha256=historical_ddgan['original_artifact_hashes']['final-state.pt'], + prior_recipe='bispf-optimized-quintic-v1', original_verdict='FAIL', + final_metrics={key: old_endpoint[f'final_{key}'] for key in keys}, + same_scientific_cohort=False, + limitations='Different source, runtime and recipe; no matched successful model-native recipe was found.'), + quadrature=records, + quadrature_sensitivity=dict(all_field_signs_agree=same_field, + direction_sign_agreement=same_directions), + wall_seconds=sum(r['wall_seconds'] for r in records), + conclusions=[ + 'Failure includes both final ancestral sampling and both step-1 conditional panels.', + 'High-noise reverse variance masks clean-predictor variance errors; step 1 has no reverse noise.', + 'The saved NS output field opposes mean correction in seven of eight fixed contexts at both quadrature orders.', + 'Stored critic momentum improves all eight alignments locally, while fresh R1+R2 and R1-only directions worsen t1_q0.', + 'These local controls do not support declaring a D-momentum or R2-removal repair; a full matched global comparison must decide net effects.'], + limits=record['limits'] + [ + 'No new contexts, evaluation samples, qualification gates, continuation or task tuning were introduced.', + 'Orders 2 and 3 are deterministic integration sensitivity, not independent validation.', + 'Small high-noise alignments are numerical point estimates, not significance claims.']) + (HERE / 'ddgan-diagnosis.json').write_text(json.dumps(result, indent=2, sort_keys=True, allow_nan=False) + '\n') + print(json.dumps(dict(output='ddgan-diagnosis.json', all_field_signs_agree=same_field, + direction_sign_agreement=same_directions, training_updates_added=0))) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-local-repair-20261022/summarize_repair.py b/reports/forge/r1r2-local-repair-20261022/summarize_repair.py new file mode 100644 index 000000000..3a55af85b --- /dev/null +++ b/reports/forge/r1r2-local-repair-20261022/summarize_repair.py @@ -0,0 +1,75 @@ +"""Compact source-bound saved-state conclusions, never qualification inputs.""" +import json +from pathlib import Path + +from local_repair_probe import sha + +HERE=Path(__file__).resolve().parent +RAW=Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-local-repair-20261022') +KEYS=('center_squared_error_drift','original_covariance_error_drift','radial_variance_drift','tangent_variance_drift') + + +def means(row): + return{k:row['mean_over_modes'][k]for k in KEYS} + + +def main(): + receipts={} + def read(name,filename,driver): + path=RAW/filename + d=json.loads(path.read_text()) + assert d['probe_sha256']==sha(HERE/driver),name + assert d['training_updates_added']==0 and not d['qualification_input'] + assert d['ambient_rng_unchanged'] + receipts[name]={'path':str(path),'sha256':sha(path),'driver_sha256':d['probe_sha256'], + 'diagnostic_wall_seconds':d['diagnostic_wall_seconds']} + return d + negative={} + for mechanism in ('local','conditional','score'): + negative[mechanism]={} + for panel in ('axes','corners'): + d=read(mechanism+'_'+panel,'final-'+mechanism+'-'+panel+'.stdout.json','local_repair_probe.py') + negative[mechanism][panel]=means(d['directions']['combined']['combined']) + population={} + for panel in ('axes','corners'): + d=read('GN_population_'+panel,'gn-force-pcg1024-'+panel+'.stdout.json','gn_force_probe.py') + assert d['gauss_newton']['linear_solve_relative_residual']<=1e-4 + population[panel]={'ordinary_AMS':means(d['directions']['ordinary_AMS']), + 'GN':means(d['directions']['gauss_newton_combined']), + 'iterations':d['gauss_newton']['iterations'], + 'relative_residual':d['gauss_newton']['linear_solve_relative_residual']} + empirical={} + replay=None + for panel in ('axes','corners'): + d=read('GN_actual128_'+panel,'gn-batch-'+panel+'.stdout.json','gn_batch_probe.py') + assert d['all_solves_accepted'] and d['mmd_gradient_autograd_max_abs_error']<1e-10 + assert d['replay_probe_sha256']==sha(HERE/'replay_training_batches.py') + for record in d['numerical_solves']: + assert record['relative_residual']<=1e-4 and record['independent_diagonal_relative_error']<1e-10 + if replay is not None:assert replay==d['historical_stream_replay'] + replay=d['historical_stream_replay'] + empirical[panel]={'directions':{k:means(v['combined'])for k,v in d['directions'].items()}, + 'iterations_min':min(r['iterations']for r in d['numerical_solves']), + 'iterations_max':max(r['iterations']for r in d['numerical_solves']), + 'maximum_relative_residual':max(r['relative_residual']for r in d['numerical_solves'])} + result={'schema_version':1,'scope':'saved_only_repair_prerequisite_summary', + 'qualification_input':False,'training_updates_added':0,'new_independent_random_streams':0, + 'diagnostic_runtime':{'device':'cpu','floating_dtype':'torch.float64','threads':1, + 'historical_replay':'CPUtarget and CUDAoriginalpriorindex/Gaussian generator clones, not a model run'}, + 'raw_receipts':receipts,'negative_auxiliaries':negative, + 'GN_population_proxy':population,'GN_actual128_empirical_sensitivity':empirical, + 'historical_draw_replay':replay, + 'source_pins':{p.name:sha(p)for p in HERE.glob('*.py')}, + 'conclusion':{'rejected_saved_prerequisites':['relative local feature means weight1: centering regression', + 'conditional first/fullcovariance moments: radial contraction and panel-sensitive centering', + 'KDEtarget-minus-fake score transport: covariance/tangent regression after projection'], + 'supported_but_unqualified_hypothesis':'FixedMMD plus damped output-tangent G/prior update; ordinary critic/R1R2 preserved', + 'actual128_caveat':'MMD+GN corrects radial/center and weakly covariance but slightly expands alreadywide tangent; NS-onlyGN contracts radial', + 'runtime_caveat':'Accurate archivedfloat64 batch solves need109-134iterations; current genericfloat32CUDA solver runtime/accuracy do not establish a complete affordable global recipe', + 'next':'Do not admit a trainedGNcomparison from this proxy alone; resolve accurate bounded runtime and allhost contracts, or select a separately justified mechanism.'}} + target=HERE/'repair-prerequisites.json' + target.write_text(json.dumps(result,indent=2,sort_keys=True,allow_nan=False)+'\n') + print(json.dumps({'status':'PASS','output':str(target),'sha256':sha(target)},sort_keys=True)) + + +if __name__=='__main__':main() diff --git a/reports/forge/r1r2-repair-20261022/PLAN.md b/reports/forge/r1r2-repair-20261022/PLAN.md new file mode 100644 index 000000000..efd3150e9 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/PLAN.md @@ -0,0 +1,180 @@ +# Bounded R1/R2 repair campaign + +Three prospective global recipes share the unchanged current tasks and one fresh +source/runtime. The original-source attempt was interrupted by runner defects; +its completed results and costs remain preserved. The stronger archived non-saturating +AMSGrad m110 recipe is the common reference, not a new selected default. + +| Role | Candidate | Delta from its declared control | +| --- | --- | --- | +| Reference | `r1r2-repair-control-20261022` | Exact archived NS/AMSGrad m110 settings; see reference-origin.json. Its study describes the complete difference from the scheduled family incumbent. | +| R1 only | `r1r2-repair-r1only-20261022` | Fake penalty weight 1 to 0; real weight remains 1 and real half-gamma remains .1/2. | +| R1 plus joint inverse | `r1r2-repair-r1cycle-20261022` | On R1 only, global joint_reconstruction_weight 0 to 1. The word consumer adds mean token CE from raw G(E(real_words)) logits using its existing G-phase batch. | + +Every recipe uses constant LR .0085, NS scalar/joint losses, global AMSGrad, +D/G+E betas (.5,.99), sampled-prior betas (0,.99), learned prior locations and +zero prior regularizer/noise/EMA. Task priors, architectures, public initializer, +seed 0, target/data law and sequence, budgets, evaluation cadence and clean/live +sampling stay fixed. No per-task recipe values are selected. + +The joint inverse coefficient is technique owned. It is active on word_joint +hosts and explicitly not applicable elsewhere; the value remains 1 in the global +recipe. It is not the existing task-owned reconstruction_weight. R1/R2 weights +are technique owned and consumed by fixed penalties; they are inapplicable on +the explicit reconstruction-only AE control. No task adaptation strips them. +Neither control is allowed as an axis in a numerical search. + +The queue keys include the complete candidate revision even for an inactive +field, so the R1-only and composed candidates do not automatically share their +nonword jobs. Execute their original requested jobs and audit equal saved model, +optimizer, data-stream and observation trajectories where the new coefficient +is inactive. Do not silently substitute another candidate's receipts. + +## Frozen scope and budget + +Existing discriminator_stability revision 14; all **13 required Tier 1** tasks +plus its separate optional clock diagnostic. Complete runnable peers in this +tier before any required failure vetoes later tiers. No task or view membership, +threshold, update count or prior condition changes. The word source-binding +migration initially changes two future evaluator-source hash fields; exact previous +task bytes and unchanged top-level scoring/data functions are preserved in +source-binding-migration.json and previous-task-definitions/. + +| Task | Full reservation seconds | +| --- | ---: | +| gaussian1d_smoke | 120 | +| two_pole | 300 | +| unused_token_hold | 300 | +| ae_gan_hold | 300 | +| ring16_acquisition | 300 | +| five_word_joint_smoke | 900 | +| zero_tanh_smoke | 120 | +| model_ae_ddgan_gaussian_chain | 180 | +| model_ae_gan_multimodal | 600 | +| model_ae_reconstruction | 600 | +| model_ddgan_gaussian_chain | 600 | +| model_vae_categorical | 300 | +| model_vae_hard | 300 | +| Separate clockfree_audit_measurement_v1 | 300 | +| **Each role** | **5,220** | +| **All three roles** | **15,660** | + +New campaign **r1r2-repair-20261022** has paid cap **24,000 seconds** and candidate +cap **5,220 seconds**. One finite round, no scientific retries or seed variants. +The historical 8,000-second PR #401 campaign stays concluded and unchanged. +Charge each physical attempt once; retain cancelled/incomplete attempts and +their costs. Full next-job allowances must fit the campaign and candidate caps. +Software checks and media export are separate from paid scientific attempt costs. + +Ordinary Tier 2 requires all 13 Tier 1 gates. No Tier 2 execution is admitted by +this initial scope. A future full Tier 2 study needs **46,620 seconds per role** +of declared allowances (including its Tier 1 bindings); full Tier 3 needs 50,520. +The ring_hold/ring_extension execution group reserves 3,600 once. Unsupported +deeper hosts remain BLOCKED and spend nothing. A separately scoped diagnostic +cannot become ordinary qualification or replace a missing checkpoint parent. + +## Infrastructure interruption and repaired source + +The original source completed 18 physical attempts (384.252489 paid seconds). +The reference reproduced Ring16 covariance error 1.556546 and independently +failed DDGAN generation. Five model attempts were incomplete because frozen AE +metadata was missing or native Adam combined generator/encoder roles. The +zero-tanh attempt completed training but its evaluator dispatch was BLOCKED. +None of these original receipts is rewritten or regraded. + +Version 2 includes the exact AE provider metadata in snapshots, adds opt-in +homogeneous Adam encoder groups with bit-exact numerical parity, preserves +provider error diagnostics, and routes the existing four-bound zero-tanh scorer. +The eight future model task source bindings and the word acquisition source +binding are refreshed with exact original definitions preserved in +previous-task-definitions-infra-v2/ and infrastructure-source-binding.json. +Task scoring, data, architecture, prior, initialization, budget, sampling, +cadence and gates stay unchanged. All three v1 requests were cancelled after +workers stopped. The new v2 studies use the same campaign cap and retain all +old physical charges. Only the scientific source changes; recipes stay fixed. + +Before admission, 177 focused runner/model tests and 32 repair API tests passed. +An isolated frozen-source, actual NS/AMSGrad two-update integration cohort +checks every model provider, exact update counts, RNG isolation and real GIFs; +it cannot qualify or replace any full-budget task. + +The isolated snapshot check passed all eight model tasks; exact receipts and +reproduction source are in infra-v2-snapshot-smoke.json. All six subsequent +studies bind the same b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175 +source and passed admission with no blockers. + +The separate word-retention view places the unchanged smoke and hold tasks in +a research diagnostic cohort. It requires the diagnostic smoke's own earliest +confirmed checkpoint and the original all-25-check hold evaluator. No ordinary +Tier 1 failure is removed. The complete diagnostic reservation is 1,200 seconds +per role (900 acquisition plus 300 hold), or 3,600 seconds for three roles. + +The initial admission note incorrectly expected automatic reuse of ordinary +acquisition. The additional key assertion caught that ordinary and diagnostic +smoke keys differ solely by science.evidence_use. The corrected admission proof +retains both keys and records automatic_reuse=false. Keep both original +receipts and physical charges; do not substitute an ordinary parent. The full +campaign allowance is therefore 15,660 ordinary + 3,600 diagnostic + 384.252489 +already paid = **19,644.252489 seconds**, below 24,000. The 5,220-second candidate +cap still requires its actual paid cost plus the next full job allowance to fit. + +## Execution and tail paths + +Use /usr/bin/python (current Python 3.14.8, torch 2.14.0+cu130) with the two +physical RTX A6000 GPUs. All cooperating workers in this campaign must use the +same queue root. Raw state, stdout, JSONL and request/plan dumps stay outside Git. + +```sh +export PARTICLEGAN_FORGE_QUEUE=/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/queue +export OMP_NUM_THREADS=1 MKL_NUM_THREADS=1 OPENBLAS_NUM_THREADS=1 PYTHONUNBUFFERED=1 +mkdir -p /mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs +``` + +After software checks and source binding, inspect all three ready studies, then +commit the execution source before enqueue. Planning launches no training. + +```sh +python -m experiments.forge plan r1r2-repair-control-20261022 --study r1r2-repair-control-20261022-tier1-infra-v2 --show-boundaries +python -m experiments.forge plan r1r2-repair-r1only-20261022 --study r1r2-repair-r1only-20261022-tier1-infra-v2 --show-boundaries +python -m experiments.forge plan r1r2-repair-r1cycle-20261022 --study r1r2-repair-r1cycle-20261022-tier1-infra-v2 --show-boundaries +python -m experiments.forge enqueue r1r2-repair-control-20261022 --study r1r2-repair-control-20261022-tier1-infra-v2 +python -m experiments.forge enqueue r1r2-repair-r1only-20261022 --study r1r2-repair-r1only-20261022-tier1-infra-v2 +python -m experiments.forge enqueue r1r2-repair-r1cycle-20261022 --study r1r2-repair-r1cycle-20261022-tier1-infra-v2 +python -u -m experiments.forge drain --gpus 0,1 --campaign r1r2-repair-20261022 > /mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs/drain-infra-v2.log 2>&1 +``` + +Do not edit source, recipe, task or study between the three enqueue calls. +Enqueue freezes snapshots; later workspace edits cannot change child imports. + +```sh +tail -F /mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/queue/events.jsonl +tail -F /mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs/drain-infra-v2.log +python -m experiments.forge logs --follow --campaign r1r2-repair-20261022 +``` + +Individual execution stdout is under +queue/r1r2-repair-20261022/ATTEMPT_ID/run.log. Queue requests, attempts and full +state dumps remain local. Root-level planning/registration receipts may record +their hashes and paths; only compact final metrics and provenance are committed. + +## Readout and publication + +Independent Forge grades decide every unchanged gate. Report all 13 required +results and clock separately, including failures, blockers and unknowns. Record +matched initial G/E/D/prior tensor digests and named consumed data/RNG streams. +For inactive joint reconstruction hosts, compare original R1-only/composed +saved evidence without changing either recipe identity or charge ownership. + +Conclude each exact study with `python -m experiments.forge readout CANDIDATE +--study STUDY --conclusion TEXT --comparison TEXT --next-action TEXT`. Retain its +source/runtime, complete recipe/prior/initialization/budget/sampling bindings, +final metrics, certificate hashes, unique paid costs and actual-training GIFs. +The existing `python -m experiments.forge.tier1_media ATTEMPT_CERTIFICATE_DIR +--output MEDIA_DIRECTORY` renders saved scored observations with no training or +sampling. API model tasks also produce their own verified api/goal.gif. + +The technique inventory remains the single generated leaderboard. A static +comparison of these three frozen recipes is a campaign readout, not a second +generated ranking. Keep archived grades and original selection unchanged unless +the complete new global recipe meets the required selection contract. Screening +remains provisional; no scientific default adoption follows this campaign. diff --git a/reports/forge/r1r2-repair-20261022/README.md b/reports/forge/r1r2-repair-20261022/README.md new file mode 100644 index 000000000..a3a7f9079 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/README.md @@ -0,0 +1,158 @@ +# R1/R2 repair comparison + +**Runner defects are fixed; no tested global density repair qualifies.** The +stronger NS/AMSGrad reference passes 10/13 current required Tier 1 tasks. +Removing R2 reduces that to 9/13. Adding explicit joint reconstruction improves +word confidence, but retains those four scientific failures. All three pass +their separate own-checkpoint word hold, including all 25 checks. + +Keep R2 and preserve the recorded family selection. The new reconstruction +objective is an opt-in research control, not a qualified replacement recipe. +The [current technique inventory](../technique-inventory.md) remains the only +generated leaderboard. This is one completed, source-bound comparison; no +historical qualification was rewritten. + +## Final comparison + +| Metric / original gate | NS/AMSGrad reference | R1 only | R1 + joint reconstruction | +| --- | ---: | ---: | ---: | +| Required Tier 1 | **10/13 PASS** | **9/13 PASS** | **9/13 PASS** | +| Separate clock audit | PASS | PASS | PASS | +| Ring component covariance error, <= .85 | 1.556546 FAIL | 3.000381 FAIL | 3.000381 FAIL | +| Ring minimum eigenvalue ratio, >= .15 | .094075 FAIL | .252591 PASS | .252591 PASS | +| Ring mass TV, <= .15 | .049805 PASS | .159180 FAIL | .159180 FAIL | +| DDGAN final projection CDF, <= .12 | .320936 FAIL | .552668 FAIL | .552668 FAIL | +| AE-DDGAN final projection CDF, <= .12 | .330916 FAIL | .267938 FAIL | .267938 FAIL | +| Word first confirmed acquisition update | 834 | 1,667 | 834 | +| Word acquisition endpoint minimum inverse token probability, >= .9 | .999085 | .998599 | .999993 | +| Own-checkpoint word hold | **25/25 PASS** | **25/25 PASS** | **25/25 PASS** | +| Word hold endpoint minimum inverse token probability, >= .9 | .997923 | .997469 | .999969 | +| Worst word hold inverse token probability across primary and independent checks, >= .9 | .994125 | .910063 | .999809 | + +The table shows individual endpoint bounds, alongside complete task verdicts. +Passing an endpoint bound does not override the full sustained evaluator. +All word endpoints also retain five generated modes, quality 1 and exact inverse +reconstruction. Hold restores each recipe's earliest confirmed state and trains +4,000 more updates: reference/composed 834→4,834, R1-only 1,667→5,667. Those +different continuation windows are required by the original task; the hold +comparison is not a causal comparison over identical held minibatches. + +| Current required task | Reference | R1 only | Composed | +| --- | --- | --- | --- | +| gaussian1d_smoke | PASS | PASS | PASS | +| two_pole | PASS | PASS | PASS | +| unused_token_hold | PASS | PASS | PASS | +| ae_gan_hold | PASS | PASS | PASS | +| ring16_acquisition | FAIL | FAIL | FAIL | +| five_word_joint_smoke | PASS | PASS | PASS | +| zero_tanh_smoke | PASS | PASS | PASS | +| model_ae_ddgan_gaussian_chain | FAIL | FAIL | FAIL | +| model_ae_gan_multimodal | PASS | FAIL | FAIL | +| model_ae_reconstruction | PASS | PASS | PASS | +| model_ddgan_gaussian_chain | FAIL | FAIL | FAIL | +| model_vae_categorical | PASS | PASS | PASS | +| model_vae_hard | PASS | PASS | PASS | + +All 12 nonword required trajectories are numerically identical between R1-only +and the composed recipe, including saved model/optimizer/named-stream parts and +observation hashes. The reconstruction coefficient is explicitly inapplicable +there. Separate recipe identities and physical costs remain recorded. + +## What the failures establish + +R1-only improves Ring's narrowest local spread but nearly doubles covariance +error and fails mass balance. It also collapses multimodal AE-GAN generation +(TV .701416, minimum spread .000854). DDGAN final normalized mean error rises +from .433671 to 2.671887, with covariance eigenvalues changing from +[.231828, 1.441154] to [.099352, 7.088243]. Removing R2 is rejected globally. + +AE-DDGAN reconstruction itself passes: reference paired NMSE .009060 and +shuffled gain 219.28; R1-only/composed .014512 and 138.02. Its generation and +conditional density still fail. The [saved DDGAN analysis](../r1r2-local-repair-20261022/ddgan-diagnosis.md) +finds adverse mean-correction fields on seven of eight contexts, but does not +establish temporal critic lag or justify dropping D momentum. High-noise +transition passes are weak evidence for a correct clean predictor. + +The [saved Ring prerequisites](../r1r2-local-repair-20261022/README.md) reject +ordinary projected MMD, several local forces and a cheap block-metric proposal. +Accurate output-tangent solves improve some population directions but need +109–134 iterations on original 128-example batches, retain a bad tangent sign, +and lack an affordable global implementation. None was advanced to training. +These are frozen-state analysis cohorts, not new qualification results. + +## Implementation and evidence + +The public API now supports fixed real/fake penalty weights and an explicit +joint reconstruction objective. Categorical reconstruction uses raw-logit +cross entropy, retaining corrective gradients for confidently wrong words. +Defaults preserve legacy behavior and serialized identities. The three global +recipes, exact deltas, unchanged task contracts and finite budgets are in +[PLAN.md](PLAN.md). The reference reproduces the archived stronger recipe; +it is not a single-factor comparison with the older scheduled incumbent. + +Four operational repairs make the current suite reviewable: + +- Snapshot the AE provider's exact task-definition dependencies. +- Let native Adam use separate G/E role groups for public model policy binding; + parameter updates and per-parameter optimizer state remain bit-exact. +- Preserve the provider's original error receipt when execution fails before + the audit attaches. +- Route the declared zero-tanh final scorer, retaining its four original bounds + and adding no retention requirement. + +[Software validation](software-validation.json) records separate overlapping +suites of 177, 32 and 96 passing tests, plus the successful +[eight-provider frozen-source smoke check](infra-v2-snapshot-smoke.json). +Two independent source reviews found no actionable defect. The original +[update oracle](../r1r2-failure-diagnosis-20261022/implementation-audit.md) +found no loss/sign/half-gamma/native-Adam error. No new seed experiment was run. + +[Final metrics and provenance](publication/results.json) preserve all receipts, +certificate/source hashes, full recipe/prior/initialization/budget/sampling +bindings, comparison proofs and [actual-training GIFs](publication/media/). +[Strict final validation](final-validation.json) verifies all 61 GIFs; the five +original model infrastructure failures have explicit media gaps. +All three holds verify their own acquired checkpoint bytes, state, key and +revision. Direct consumed-batch hashes match across candidates on all seven +tasks retaining them; constructor and named-stream proofs retain their explicit +coverage gaps. Ambient process RNG snapshots are distinct from consumed named +streams and are not silently equated across independent processes. + +The repaired source is `b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175`, +frozen at commit `df196bf43dc50c166a6e77491fa5fc7a75eae323`. It has 42 ordinary +and six diagnostic physical attempts. The original interrupted source retains +18 attempts, including five model execution failures and the original BLOCKED +zero-tanh grade. All **66 physical attempts cost 2,201.552423 paid seconds**, +charged once against the 24,000-second campaign cap. No scientific retries or +default promotion occurred. Ordinary Tier 2 remains blocked by scientific +failures; word hold supplies only its declared diagnostic claim. + +Diagnostic and ordinary acquisition keys differ by evidence-use policy, so +each diagnostic uses a separately paid acquisition receipt; none was silently +substituted. [Admission correction](infra-v2-admission-preview.json), +[original interruption](v1-infrastructure-interruption.json), +[future source bindings](infrastructure-source-binding.json) and +[archived media aliases](media-alias-archive.json) preserve the exact identities. +Bulk logs, traces, checkpoints and state dumps remain outside Git. +The six concluded Forge records retain certified final summaries; their +[byte-exact full readouts](readout-archive.json) are archived locally with hashes +and blob identities. [compact_readouts.py](compact_readouts.py) reproduces that +projection without changing any scientific verdict. + +## Recommendation and reproduction + +Reject R2 removal as a global repair. Keep reconstruction as an explicit, +tested word inverse control; it improves margin but is unnecessary for the +reference's measured hold gates. Close this finite three-role campaign rather +than promoting a recipe with density regressions. A further global candidate +needs a demonstrated density-force or conditional-field prerequisite and a +feasible whole-update cost before consuming another ordinary comparison. + +Use the six frozen studies and commands in [PLAN.md](PLAN.md). Saved-state +drivers and original evidence identities are linked above. Execution artifacts +live at `/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/`; the queue is drained. +The concise local log remains easy to inspect: + +```sh +tail -n 60 /mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs/progress.log +``` diff --git a/reports/forge/r1r2-repair-20261022/admission-preview.json b/reports/forge/r1r2-repair-20261022/admission-preview.json new file mode 100644 index 000000000..dc6d0eb48 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/admission-preview.json @@ -0,0 +1,485 @@ +{ + "schema_version": 1, + "scope": "ready_admission_preview_not_frozen_execution", + "training_updates": 0, + "queue_admission": false, + "shared_source_digest": "e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464", + "runtime": { + "python": "3.14.8", + "implementation": "CPython", + "system": "Linux", + "machine": "x86_64", + "packages": { + "torch": "2.14.0", + "numpy": "2.5.3", + "scipy": "1.17.1" + } + }, + "compute": { + "backend": "cuda", + "threads": 1, + "deterministic": true, + "tf32": false, + "autograd_multithreading_enabled": false, + "model": "NVIDIA RTX A6000", + "driver": "615.78.08", + "compute_capability": "8.6" + }, + "view_revision": 14, + "roles": [ + { + "role": "control", + "candidate": "r1r2-repair-control-20261022", + "study": "r1r2-repair-control-20261022-tier1", + "candidate_revision": "6e6d9b27bc5d44cfba28bf159016418b50c26b71235f733afe85c12f088fd414", + "source_digest": "e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464", + "study_status": "READY", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3", + "study_admission": { + "contract_sha256": "8482beced62614f7f56d45bb503f4a3bc47958a730720423be78e17f81058936", + "binding_sha256": "31fe8a72de863f075710ae01300ddd4bc2440dbe1c084fc90f11833ff06efe58", + "control_binding_sha256": "6dc6528fc5a95f943a246239db723330bb61f37a8d324b714b84ce9b189b28c6", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "054be518ea1587c8e9e81fe538acfb508c7173d64a3810e95c559eb44e054d83", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3" + }, + "full_allowance_seconds": 5220, + "actual_delta_fields": [ + "amsgrad", + "beta2_end", + "betas", + "loss", + "lr_floor", + "lr_schedule", + "network_lr_floor", + "prior_betas", + "reg_coeff", + "reg_coeff_end" + ], + "changed_task_ids": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "two_pole", + "unused_token_hold", + "zero_tanh_smoke" + ], + "tasks": [ + { + "task": "gaussian1d_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "gaussian1d_smoke", + "execution_group_blockers": [] + }, + { + "task": "two_pole", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "two_pole", + "execution_group_blockers": [] + }, + { + "task": "unused_token_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "unused_token_hold", + "execution_group_blockers": [] + }, + { + "task": "ae_gan_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ae_gan_hold", + "execution_group_blockers": [] + }, + { + "task": "ring16_acquisition", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ring16_acquisition", + "execution_group_blockers": [] + }, + { + "task": "five_word_joint_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 900, + "execution_group": "five_word_joint_smoke", + "execution_group_blockers": [] + }, + { + "task": "zero_tanh_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "zero_tanh_smoke", + "execution_group_blockers": [] + }, + { + "task": "model_ae_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 180, + "execution_group": "model_ae_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_ae_gan_multimodal", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_gan_multimodal", + "execution_group_blockers": [] + }, + { + "task": "model_ae_reconstruction", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_reconstruction", + "execution_group_blockers": [] + }, + { + "task": "model_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_vae_categorical", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_categorical", + "execution_group_blockers": [] + }, + { + "task": "model_vae_hard", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_hard", + "execution_group_blockers": [] + }, + { + "task": "clockfree_audit_measurement_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "clockfree_audit_measurement_v1", + "execution_group_blockers": [] + } + ] + }, + { + "role": "r1only", + "candidate": "r1r2-repair-r1only-20261022", + "study": "r1r2-repair-r1only-20261022-tier1", + "candidate_revision": "20b184cd8114c98b653a6e3ce2ca3366a779aa8b78d3161551e0e34d8e114462", + "source_digest": "e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464", + "study_status": "READY", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3", + "study_admission": { + "contract_sha256": "f534988c054b0290265d006fac530f40a11af53b665bdfbb60359b0753d2a8f3", + "binding_sha256": "b39dc9e92552e7b62b0924416dd0eb20d115b3798ef860f5c33643bf25ae7090", + "control_binding_sha256": "31fe8a72de863f075710ae01300ddd4bc2440dbe1c084fc90f11833ff06efe58", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "22ebdd55515cbadaa8c4a3f8aac24da9f5d389afcee6afdbecad550078b75504", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3" + }, + "full_allowance_seconds": 5220, + "actual_delta_fields": [ + "reg_fake_weight" + ], + "changed_task_ids": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "two_pole", + "unused_token_hold", + "zero_tanh_smoke" + ], + "tasks": [ + { + "task": "gaussian1d_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "gaussian1d_smoke", + "execution_group_blockers": [] + }, + { + "task": "two_pole", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "two_pole", + "execution_group_blockers": [] + }, + { + "task": "unused_token_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "unused_token_hold", + "execution_group_blockers": [] + }, + { + "task": "ae_gan_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ae_gan_hold", + "execution_group_blockers": [] + }, + { + "task": "ring16_acquisition", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ring16_acquisition", + "execution_group_blockers": [] + }, + { + "task": "five_word_joint_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 900, + "execution_group": "five_word_joint_smoke", + "execution_group_blockers": [] + }, + { + "task": "zero_tanh_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "zero_tanh_smoke", + "execution_group_blockers": [] + }, + { + "task": "model_ae_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 180, + "execution_group": "model_ae_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_ae_gan_multimodal", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_gan_multimodal", + "execution_group_blockers": [] + }, + { + "task": "model_ae_reconstruction", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_reconstruction", + "execution_group_blockers": [] + }, + { + "task": "model_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_vae_categorical", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_categorical", + "execution_group_blockers": [] + }, + { + "task": "model_vae_hard", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_hard", + "execution_group_blockers": [] + }, + { + "task": "clockfree_audit_measurement_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "clockfree_audit_measurement_v1", + "execution_group_blockers": [] + } + ] + }, + { + "role": "r1cycle", + "candidate": "r1r2-repair-r1cycle-20261022", + "study": "r1r2-repair-r1cycle-20261022-tier1", + "candidate_revision": "218d4fa55f56749b270825b3dcac565adb5da60870e771d9782c05d8d556eefe", + "source_digest": "e481b63224fc2d8cf77b136ab54f06421f7ac0967e47509a63f95cfa42733464", + "study_status": "READY", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3", + "study_admission": { + "contract_sha256": "fd3cbf2f8d533819d4f82a0bdc406e65973fd4b513166d5d6184e69aa602e8d6", + "binding_sha256": "3dfbaf1caf9dbcd5c3c692c9c90541134bc1946f5e8b4cc224f6c87bd2d67df8", + "control_binding_sha256": "b39dc9e92552e7b62b0924416dd0eb20d115b3798ef860f5c33643bf25ae7090", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "10b1840df679fd6de676c2929396015fa902318612a63b0e326fc51569dc9119", + "policy_fingerprint": "51af874c96fbb02fb64b97d8dbb31ff5fe2ab19e9b4943e7ddccd64e0c22f9c3" + }, + "full_allowance_seconds": 5220, + "actual_delta_fields": [ + "joint_reconstruction_weight" + ], + "changed_task_ids": [ + "five_word_joint_smoke" + ], + "tasks": [ + { + "task": "gaussian1d_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "gaussian1d_smoke", + "execution_group_blockers": [] + }, + { + "task": "two_pole", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "two_pole", + "execution_group_blockers": [] + }, + { + "task": "unused_token_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "unused_token_hold", + "execution_group_blockers": [] + }, + { + "task": "ae_gan_hold", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ae_gan_hold", + "execution_group_blockers": [] + }, + { + "task": "ring16_acquisition", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "ring16_acquisition", + "execution_group_blockers": [] + }, + { + "task": "five_word_joint_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 900, + "execution_group": "five_word_joint_smoke", + "execution_group_blockers": [] + }, + { + "task": "zero_tanh_smoke", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 120, + "execution_group": "zero_tanh_smoke", + "execution_group_blockers": [] + }, + { + "task": "model_ae_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 180, + "execution_group": "model_ae_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_ae_gan_multimodal", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_gan_multimodal", + "execution_group_blockers": [] + }, + { + "task": "model_ae_reconstruction", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ae_reconstruction", + "execution_group_blockers": [] + }, + { + "task": "model_ddgan_gaussian_chain", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 600, + "execution_group": "model_ddgan_gaussian_chain", + "execution_group_blockers": [] + }, + { + "task": "model_vae_categorical", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_categorical", + "execution_group_blockers": [] + }, + { + "task": "model_vae_hard", + "importance": "required", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "model_vae_hard", + "execution_group_blockers": [] + }, + { + "task": "clockfree_audit_measurement_v1", + "importance": "diagnostic", + "qualification_tier": 1, + "budget_seconds": 300, + "execution_group": "clockfree_audit_measurement_v1", + "execution_group_blockers": [] + } + ] + } + ], + "full_tier1_allowance_seconds": 15660, + "campaign_cap_seconds": 24000, + "candidate_cap_seconds": 5220, + "source_binding_migration_sha256": "f24301ef3bc314be04b646bec32d764505aa6872dd9445982c0ab7311a1ec903", + "baseline_recipe_origin_sha256": "c5bf79534af78e696a3be43ecb7d53734c39075e0a18a4403ccbd02b2bc5750e", + "default_promotion": false +} diff --git a/reports/forge/r1r2-repair-20261022/bind_infrastructure_sources.py b/reports/forge/r1r2-repair-20261022/bind_infrastructure_sources.py new file mode 100644 index 000000000..b66ada2b9 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/bind_infrastructure_sources.py @@ -0,0 +1,82 @@ +"""Bind future task executions to repaired plumbing, preserving old evidence. + +Run after provider/adapter fixes settle. This never grades or executes a task. +""" +import ast +import hashlib +import json +from pathlib import Path +import subprocess + +ROOT = Path(__file__).resolve().parents[3] +HERE = Path(__file__).resolve().parent +BASE = "92b565b09" +PROVIDERS = [f"benchmarks/toy_audit/api_model_{name}.py" for name in ("ae", "ddgan", "vae")] +ALLOWED = {*PROVIDERS, "experiments/forge/model_toy_adapter.py", "benchmarks/toy_audit/api_images.py"} + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def original(path): + return subprocess.check_output(["git", "show", f"{BASE}:{path}"], cwd=ROOT) + + +def declarations(data): + result = {} + for node in ast.parse(data).body: + if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef)): + result[node.name] = ast.dump(node, include_attributes=False) + elif isinstance(node, ast.ClassDef): + for method in node.body: + if isinstance(method, (ast.FunctionDef, ast.AsyncFunctionDef)) and method.name != "__init__": + result[f"{node.name}.{method.name}"] = ast.dump(method, include_attributes=False) + return result + + +def main(): + for source in PROVIDERS: + assert declarations(original(source)) == declarations((ROOT / source).read_bytes()), source + rows = [] + for path in sorted((ROOT / "configs/forge/tasks").glob("*.json")): + if not (path.stem.startswith("model_") or path.stem == "five_word_joint_acquisition"): + continue + relative = str(path.relative_to(ROOT)) + before_bytes = original(relative) + before = json.loads(before_bytes) + after = json.loads(path.read_text()) + expected = json.loads(before_bytes) + changes = [] + for source, pin in before["evaluation"].get("sources", {}).items(): + current = sha((ROOT / source).read_bytes()) + if current != pin: + assert source in ALLOWED, f"unrelated source change: {source}" + expected["evaluation"]["sources"][source] = current + changes.append(dict(path=["evaluation", "sources", source], old_sha256=pin, new_sha256=current)) + assert after in (before, expected), f"non-source task mutation: {relative}" + if not changes: + continue + preserved = HERE / "previous-task-definitions-infra-v2" / path.name + preserved.parent.mkdir(exist_ok=True) + if preserved.exists(): + assert preserved.read_bytes() == before_bytes + else: + preserved.write_bytes(before_bytes) + path.write_text(json.dumps(expected, indent=2) + "\n") + rows.append(dict(task=path.stem, original_path=relative, + original_sha256=sha(before_bytes), future_sha256=sha(path.read_bytes()), + original_blob=subprocess.check_output(["git", "rev-parse", f"{BASE}:{relative}"], cwd=ROOT, text=True).strip(), + preserved_original=str(preserved.relative_to(ROOT)), changes=changes)) + receipt = dict(schema_version=1, scope="future_task_source_binding_only", + original_commit=subprocess.check_output(["git", "rev-parse", BASE], cwd=ROOT, text=True).strip(), + unchanged_provider_methods_except_optimizer_construction=True, + task_architecture_data_prior_initialization_budget_sampling_cadence_gates_unchanged=True, + original_verdicts_preserved=True, qualification_recomputed=False, + training_updates=0, random_draws=0, tasks=rows) + (HERE / "infrastructure-source-binding.json").write_text(json.dumps(receipt, indent=2) + "\n") + print(json.dumps(dict(tasks=len(rows), training_updates=0, verdicts_changed=False))) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/r1r2-repair-20261022/bind_sources.py b/reports/forge/r1r2-repair-20261022/bind_sources.py new file mode 100644 index 000000000..6a50494a5 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/bind_sources.py @@ -0,0 +1,89 @@ +"""Refresh future task source pins after the opt-in word trainer addition. + +Preserve original task bytes and scoring/data definitions. This performs no +execution, grading, queue admission or qualification recomputation. +""" +from __future__ import annotations + +import ast +import hashlib +import json +from pathlib import Path +import subprocess + +ROOT = Path(__file__).resolve().parents[3] +HERE = Path(__file__).resolve().parent +SOURCE = 'benchmarks/toy_audit/api_images.py' + + +def sha(data): + return hashlib.sha256(data).hexdigest() + + +def git_bytes(commit, path): + return subprocess.check_output(['git', 'show', f'{commit}:{path}'], cwd=ROOT) + + +def main(): + commit = subprocess.check_output(['git', 'rev-parse', 'HEAD'], cwd=ROOT, text=True).strip() + prior_source = git_bytes(commit, SOURCE) + current_source = (ROOT / SOURCE).read_bytes() + before_ast, after_ast = ast.parse(prior_source), ast.parse(current_source) + before_functions = {node.name: ast.dump(node, include_attributes=False) + for node in before_ast.body if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef))} + after_functions = {node.name: ast.dump(node, include_attributes=False) + for node in after_ast.body if isinstance(node, (ast.FunctionDef, ast.AsyncFunctionDef))} + assert before_functions == after_functions, 'source binding cannot conceal a changed data/scoring function' + assert {'word_bank', 'score_words', '_word_metadata'} <= before_functions.keys() + before_classes = {node.name: ast.dump(node, include_attributes=False) + for node in before_ast.body if isinstance(node, ast.ClassDef)} + after_classes = {node.name: ast.dump(node, include_attributes=False) + for node in after_ast.body if isinstance(node, ast.ClassDef)} + changed_classes = sorted(name for name in before_classes if before_classes[name] != after_classes.get(name)) + assert set(changed_classes) <= {'WordFixture', 'WordGenerator'} + prior_dir = HERE / 'previous-task-definitions' + prior_dir.mkdir(exist_ok=True) + view_path = ROOT / 'configs/forge/views/discriminator_stability.json' + view = json.loads(view_path.read_text()) + rows = [] + for assignment in view['assignments']: + relative = f"configs/forge/tasks/{assignment['task']}.json" + original_bytes = git_bytes(commit, relative) + original = json.loads(original_bytes) + if SOURCE not in original['evaluation'].get('sources', {}): + continue + preserved = prior_dir / f"{assignment['task']}.json" + if preserved.exists(): + assert preserved.read_bytes() == original_bytes, 'original task definition changed' + else: + preserved.write_bytes(original_bytes) + task_path = ROOT / relative + current = json.loads(task_path.read_text()) + baseline = json.loads(json.dumps(original)) + baseline['evaluation']['sources'][SOURCE] = current['evaluation']['sources'][SOURCE] + assert current == baseline, 'only the future execution source hash may change' + current['evaluation']['sources'][SOURCE] = sha(current_source) + task_path.write_text(json.dumps(current, indent=2) + '\n') + rows.append(dict(task=assignment['task'], importance=assignment['importance'], + qualification_tier=assignment['qualification_tier'], + original_task_path=relative, original_task_sha256=sha(original_bytes), + original_task_blob=subprocess.check_output(['git', 'rev-parse', f'{commit}:{relative}'], cwd=ROOT, text=True).strip(), + preserved_original=str(preserved.relative_to(ROOT)), + future_task_sha256=sha(task_path.read_bytes()), + old_source_pin=original['evaluation']['sources'][SOURCE], + new_source_pin=sha(current_source), changed_paths=[['evaluation', 'sources', SOURCE]])) + result = dict(schema_version=1, scope='future_task_source_binding_only', + original_commit=commit, view='discriminator_stability', view_revision=view['revision'], + view_sha256=sha(view_path.read_bytes()), source_path=SOURCE, + original_source_sha256=sha(prior_source), future_source_sha256=sha(current_source), + unchanged_top_level_functions=sorted(before_functions), changed_classes=changed_classes, + preserved_data_architecture_prior_initialization_budget_sampling_cadence_gates=True, + original_verdicts_preserved=True, qualification_recomputed=False, + training_updates=0, random_draws=0, tasks=rows) + (HERE / 'source-binding-migration.json').write_text(json.dumps(result, indent=2) + '\n') + print(json.dumps(dict(tasks=len(rows), source_sha256=sha(current_source), + verdicts_changed=False, training_updates=0))) + + +if __name__ == '__main__': + main() diff --git a/reports/forge/r1r2-repair-20261022/collect.py b/reports/forge/r1r2-repair-20261022/collect.py new file mode 100644 index 000000000..36b51bf89 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/collect.py @@ -0,0 +1,413 @@ +"""Collect original Forge certificates and saved-training media; never train. + +Different execution sources remain separate cohorts. Existing verdicts and +physical charge ownership are copied, never recomputed or pooled. +""" +from __future__ import annotations + +import argparse +from collections import Counter +import importlib.util +import json +import math +from pathlib import Path +import shutil +import sys + +import torch + +ROOT = Path(__file__).resolve().parents[3] +HERE = Path(__file__).resolve().parent +sys.path.insert(0, str(ROOT)) +from experiments.forge.artifacts import verify_artifacts +from experiments.forge.contracts import atomic_json, file_hash, read_json, stable_hash +from experiments.forge.sources import verify_snapshot +from experiments.forge.state import state_digest +from experiments.forge.tier1_media import render +from reports.forge.regenerate_technique_inventory import project_receipt + +CAMPAIGN = 'r1r2-repair-20261022' +DEFAULT_QUEUE = Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/queue') +ROLES = {f'r1r2-repair-{role}-20261022': role for role in ('control', 'r1only', 'r1cycle')} + + +def saved_publisher(): + path = ROOT/'reports/forge/bcap-develop-integration/publish.py' + spec = importlib.util.spec_from_file_location('r1r2_saved_publication', path) + module = importlib.util.module_from_spec(spec) + spec.loader.exec_module(module) + return module + + +def dictionaries(value, prefix='state'): + if isinstance(value, dict): + yield prefix, value + for key, item in value.items(): + yield from dictionaries(item, f'{prefix}.{key}') + elif isinstance(value, (list, tuple)): + for index, item in enumerate(value): + yield from dictionaries(item, f'{prefix}.{index}') + + +def numerical_parts(saved): + parts = {name: {} for name in ('models', 'role_parameters', 'optimizers', 'stream_states')} + data_states = {} + for path, node in dictionaries(saved): + for name in ('models', 'role_parameters', 'optimizers'): + if name in node: + parts[name][f'{path}.{name}'] = state_digest(node[name]) + if isinstance(node.get('states'), dict): + for name, value in node['states'].items(): + if not isinstance(value, torch.Tensor): + continue + key = f'{path}.states.{name}' + parts['stream_states'][key] = state_digest(value) + try: + is_data = json.loads(name)[0] == 'data' + except (ValueError, TypeError, IndexError): + is_data = name == 'data' or name.startswith('data:') + if is_data: + data_states[key] = state_digest(value) + return {name: value for name, value in parts.items() if value}, data_states + + +def differing_saved_paths(left,right,path='state'): + if state_digest(left)==state_digest(right): + return [] + if isinstance(left,dict) and isinstance(right,dict): + return [part for key in sorted(left.keys()|right.keys()) + for part in differing_saved_paths(left.get(key),right.get(key),f'{path}.{key}')] + if isinstance(left,(list,tuple)) and isinstance(right,type(left)) and len(left)==len(right): + return [part for index,(a,b) in enumerate(zip(left,right)) for part in differing_saved_paths(a,b,f'{path}.{index}')] + return [path] + + +def initial_models(row, saved): + initial = {} + for path, node in dictionaries(dict(row=row.get('initialization', {}), + host=row.get('evidence', {}).get('host', {}))): + if 'initial_state_sha256' in node: + initial[path] = node['initial_state_sha256'] + initial.update({f'provider.{key}': value for key,value in + row.get('evidence', {}).get('initial_models', {}).items()}) + if saved is not None: + for path, node in dictionaries(saved): + if isinstance(node.get('initialization'), dict): + for role, value in node['initialization'].items(): + if isinstance(value, dict) and 'initial_state_sha256' in value: + initial[f'{path}.initialization.{role}'] = value['initial_state_sha256'] + return initial + + +def checkpoint(row): + descriptor = row.get('evidence', {}).get('provenance_checkpoint') + if not descriptor: + return None, None + root = Path(descriptor['artifact_root']) + verify_artifacts(root, descriptor['artifact_manifest']) + path = root / descriptor['path'] + assert file_hash(path) == descriptor['sha256'] + saved = torch.load(path, map_location='cpu', weights_only=False) + assert state_digest(saved) == descriptor['state_sha256'] + parts, data_states = numerical_parts(saved) + named = descriptor.get('named_stream_state_sha256', {}) + if named: + assert set(saved['streams']['states']) == set(named) + assert all(state_digest(saved['streams']['states'][name]) == digest for name,digest in named.items()) + return saved, dict(path=str(path), sha256=descriptor['sha256'], + state_sha256=descriptor['state_sha256'], artifact_manifest_sha256=descriptor['artifact_manifest']['sha256'], + completed_steps=descriptor['completed_steps'], purpose=descriptor.get('purpose'), + numerical_parts=parts, consumed_data_rng_state_sha256=data_states) + + +def acquired_checkpoint(row): + evidence = row.get('evidence',{}) + descriptor = evidence.get('checkpoint') + if row['task_id']!='five_word_joint_smoke' or not descriptor: + return None + root=Path(evidence['artifact_root']) + verify_artifacts(root,evidence['artifact_manifest']) + path=(root/descriptor['path']).resolve() + assert path.is_relative_to(root.resolve()) and file_hash(path)==descriptor['sha256'] + saved=torch.load(path,map_location='cpu',weights_only=True) + assert state_digest(saved)==descriptor['state_sha256'] + return dict(**descriptor,artifact_root=str(root),verified_checkpoint_bytes_and_state=True) + + +def word_curve_summary(task,row): + if task['adapter']!='word_joint': + return None + evidence=row.get('evidence',{}) + primary=evidence.get('observations',[]) + confirms=evidence.get('confirmations',[]) + if not primary or not confirms: + return None + records=[dict(step=point['step'],kind='primary',metrics=point) for point in primary] + records.extend(dict(step=point['step'],kind='independent_confirmation',metrics=point['metrics']) for point in confirms) + def passes(value,op,bound): + return type(value) in (int,float) and math.isfinite(value) and ( + value>=bound if op=='>=' else value<=bound if op=='<=' else value==bound) + summaries={} + for name,op,bound in task['evaluation']['thresholds']: + values=[(record['metrics'][name],record['step'],record['kind']) for record in records] + low=min(values);high=max(values) + failed=[record for record in records if not passes(record['metrics'].get(name),op,bound)] + summaries[name]=dict(minimum=low[0],minimum_step=low[1],minimum_kind=low[2], + maximum=high[0],maximum_step=high[1],maximum_kind=high[2], + failed_primary_or_confirmation_count=len(failed),op=op,threshold=bound) + failed_checks=[dict(step=record['step'],kind=record['kind'], + failed_metrics=[name for name,op,bound in task['evaluation']['thresholds'] + if not passes(record['metrics'].get(name),op,bound)]) for record in records] + failed_checks=sorted((record for record in failed_checks if record['failed_metrics']),key=lambda record:(record['step'],record['kind'])) + return dict(primary_checks=len(primary),independent_confirmation_checks=len(confirms), + metric_extrema_and_failure_counts=summaries,earliest_failed_check=failed_checks[0] if failed_checks else None, + confirmation_curve_sha256=stable_hash(confirms), + interpretation='Descriptive extrema of the original saved scored curve; no observations, grades or qualification decisions added.') + + +def clock_proof(row): + if row['task_id']!='clockfree_audit_measurement_v1': + return None,{} + evidence=row.get('evidence',{}) + if not evidence.get('artifact_root'): + return None,{} + root=Path(evidence['artifact_root']) + verify_artifacts(root,evidence['artifact_manifest']) + path=root/'comparisons.pt' + proof=torch.load(path,map_location='cpu',weights_only=True) + initial={f'clock_constructor.{role}':value['initial_state_sha256'] + for role,value in proof['initial']['initialization'].items()} + parts,_=numerical_parts(proof) + return dict(path=str(path),sha256=file_hash(path), + comparison_start_after_warmup_models={role:state_digest(model) for role,model in proof['initial']['trainer']['models'].items()}, + numerical_trajectory_sha256=stable_hash(parts), + interpretation='One digest of actual saved numerical model/optimizer/stream trajectories; no per-update state or metric stream copied.'),initial + + +def export_media(task, row, local, destination, request): + evidence = row.get('evidence', {}) + actual = evidence.get('actual_training_gif') + if actual: + source = Path(actual['path']) + assert file_hash(source) == actual['sha256'] + destination.parent.mkdir(parents=True, exist_ok=True) + if not destination.exists(): + shutil.copyfile(source, destination) + assert file_hash(destination) == actual['sha256'] + receipt = dict(schema_version=1,kind='retained_original_public_api_actual_training_gif', + task_id=task['id'],recorded_grade=row['gate_status'],source_path=str(source), + source_sha256=actual['sha256'],gif_sha256=file_hash(destination), + optimizer_updates_added=0,sampling_draws_added=0,qualification_input=False) + atomic_json(destination.with_suffix('.json'), receipt) + return receipt + if not evidence.get('observations') and task['adapter']!='clockfree_audit': + return None + sidecar = destination.with_suffix('.json') + if destination.exists() and sidecar.exists(): + receipt = read_json(sidecar) + assert receipt['gif_sha256'] == file_hash(destination) + assert all(file_hash(Path(path)) == digest for path,digest in receipt.get('source_inputs', {}).items()) + return receipt + publisher = saved_publisher() + # This public exporter selects exact scored observations from retained + # component-view supersets (AE hold also retains pretraining snapshots). + # It validates saved bytes and exact metric equality; no new observations. + entry = dict(task=task,row=row,request=request,attempt=dict(local=local)) + return publisher.render_saved(entry,destination,publisher._saved_renderer(ROOT)) + + +def collect(options): + torch.set_num_threads(1) + state = read_json(options.queue / 'queue/state.json') + submissions = {rid: value for rid,value in state['submissions'].items() + if value['request'].get('campaign_id') == CAMPAIGN and value['request']['candidate']['id'] in ROLES} + active = [rid for rid,sub in submissions.items() if sub['status'] in {'queued','running','paused'}] + if not options.allow_partial: + assert not active, f'active or paused requests: {active}' + source_proofs = {} + cohorts, attempts, charges = {}, {}, {} + rows_by_cohort = {} + for rid, sub in submissions.items(): + request = sub['request']; source = request['source']; digest = source['digest'] + if digest not in source_proofs: + verify_snapshot(Path(source['snapshot_path']), source) + source_proofs[digest] = dict(source_digest=digest,origin_commit=source['origin_commit'], + snapshot_path=source['snapshot_path'],verified_files=len(source['files']),runtime=request['runtime']) + role = ROLES[request['candidate']['id']] + evidence_scope = request['view'].get('evidence_scope','ordinary') + cohort_key = f'{digest}:{evidence_scope}' + cohort = cohorts.setdefault(cohort_key, dict(source=source_proofs[digest],evidence_scope=evidence_scope,requests=[],roles=[])) + authorized = [a for a in request['view']['assignments'] if a['qualification_tier'] <= request['through_tier']] + authorized_names = {a['task'] for a in authorized} + request_keys = {job['compatibility_key'] for job in request['jobs'] + if set(job.get('task_ids',[job['task_id']])) <= authorized_names} + cohort['requests'].append(dict(request_id=rid,role=role,study=request['study']['id'], + candidate=request['candidate']['id'],candidate_revision=request['candidate_revision'], + status=sub['status'],reason=sub.get('reason'),view_revision=request['view']['revision'], + global_recipe=request['candidate']['recipe_overrides'])) + current = {} + for job in state['jobs'].values(): + result = job.get('result') + # Cancellation removes live subscriptions, not original evidence. + if job['definition']['compatibility_key'] not in request_keys or result is None: + continue + aid = result['attempt_id'] + summary = project_receipt(ROOT, aid) + original_dir = ROOT/'reports/forge/attempts'/aid + envelope = read_json(original_dir/'request.json') + certificate = read_json(original_dir/'evidence.json') + local = Path(certificate['local_artifact_root']) + assert read_json(original_dir/'result.json') == result == read_json(local/'result.json') + assert read_json(local/'request.json') == envelope + assert summary['provenance']['source_digest'] == digest + physical_charge = [c for c in state['charges'] if c['attempt_id'] == aid] + assert len(physical_charge) == 1 + charges[aid] = dict(**physical_charge[0],full_allowance_seconds=job['definition']['budget_seconds'],source_digest=digest,evidence_scope=evidence_scope,role=role) + attempts[aid] = dict(attempt_id=aid,role=role,source_digest=digest,evidence_scope=evidence_scope, + candidate_revision=request['candidate_revision'], + provenance=summary['provenance'],original_artifact_root=str(local), + independent_grading=result['raw'].get('grading',{}).get('grades',{}), + original_attempt_status=result['raw']['attempt_status']) + compact = {r['task_id']:r for r in summary['task_results']} + for row in result['task_results']: + name = row['task_id'];task = request['tasks'][name] + saved, cp = checkpoint(row) + clock,clock_initial=clock_proof(row) + item = dict(**compact[name],attempt_id=aid,role=role,source_digest=digest,evidence_scope=evidence_scope, + request_id=rid,study_id=request['study']['id'], + task_contract_sha256=stable_hash(task),effective_recipe=row.get('recipe',row.get('applied',{}).get('recipe')), + initial_prior=row.get('initial_prior'),prior=row.get('prior',row.get('applied',{}).get('prior')), + execution_sampling={key:row.get('evidence',{}).get(key) for key in ('sampling_law','eval_output_noise','sampling_contract_version')}, + prior_policy=row.get('evidence',{}).get('prior_policy'), + continuity=row.get('evidence',{}).get('continuity'), + acquired_checkpoint=acquired_checkpoint(row), + original_word_curve_summary=word_curve_summary(task,row), + initialization={**initial_models(row,saved),**clock_initial},checkpoint=cp,clock_audit_proof=clock, + batch_sequence_sha256=(row.get('evidence',{}).get('batch_sequence_sha256') or + (stable_hash(row['evidence']['data_sha256']) if row.get('evidence',{}).get('data_sha256') else None)), + consumed_batch_traces=row.get('evidence',{}).get('data_sha256'), + observations_sha256=stable_hash(row.get('evidence',{}).get('observations',[])), + training_budget=dict(steps=task['execution']['steps'], + original_schedule_horizon=task['execution'].get('original_schedule_horizon'), + timeout_seconds=task['resources']['timeout_seconds']), + qualification_input=False,qualification_reuse=False) + dest=options.output/'media'/f'{digest[:12]}-{evidence_scope}-{role}-{name}-{aid[:8]}.gif' + if options.media or dest.exists(): + media = export_media(task,row,local,dest,request) + if media: + item['actual_training_gif']=dict(path=str(dest.relative_to(ROOT)), + sha256=file_hash(dest),sidecar_sha256=file_hash(dest.with_suffix('.json'))) + else: + item['actual_training_gif_gap']='No retained completed training observations; no illustration fabricated.' + current[name]=item + rows_by_cohort.setdefault(cohort_key,{})[(role,name)] = item + cohort['roles'].append(dict(role=role,study_id=request['study']['id'],request_id=rid, + required_counts=dict(Counter(current[a['task']]['gate_status'] if a['task'] in current else 'UNMEASURED' + for a in authorized if a['importance']=='required')), + diagnostic_counts=dict(Counter(current[a['task']]['gate_status'] if a['task'] in current else 'UNMEASURED' + for a in authorized if a['importance']=='diagnostic')), + tasks=[dict(**a,result=current.get(a['task'])) for a in authorized])) + comparisons=[] + word_parent_proofs=[] + for cohort_key, lookup in rows_by_cohort.items(): + digest,evidence_scope=cohort_key.split(':',1) + for role in ROLES.values(): + hold=lookup.get((role,'five_word_joint_hold')) + if not hold or not hold.get('continuity'): + continue + parent=lookup.get((role,'five_word_joint_smoke')) + assert parent and parent['gate_status']=='PASS' + continuity=hold['continuity']; acquired=parent['acquired_checkpoint'] + assert acquired and continuity['parent_checkpoint_sha256']==acquired['sha256'] + assert continuity['parent_state_sha256']==acquired['state_sha256'] + assert continuity['parent_confirmed_step']==acquired['completed_steps']==continuity['prefix_steps'] + assert continuity['parent_candidate_revision']==attempts[parent['attempt_id']]['candidate_revision'] + assert continuity['parent_compatibility_key']==parent['compatibility_key'] + assert continuity['restored_exactly'] is True and continuity['history_reset'] is False + assert continuity['same_recipe_prior_architecture'] is True + word_parent_proofs.append(dict(source_digest=digest,evidence_scope=evidence_scope,role=role, + smoke_attempt_id=parent['attempt_id'],hold_attempt_id=hold['attempt_id'], + acquired_checkpoint=acquired,continuity=continuity, + parent_check='Verified exact own same-source/evidence-use smoke bytes and tensor state, earliest confirmed step, candidate revision and unchanged history; original evaluator remains authoritative.')) + for task in sorted({name for role,name in lookup}): + available = {role:lookup[(role,task)] for role in ('control','r1only','r1cycle') if (role,task) in lookup} + initial = {role:row['initialization'] for role,row in available.items() if row['initialization']} + batch = {role:row['batch_sequence_sha256'] for role,row in available.items() if row['batch_sequence_sha256']} + data = {role:row['checkpoint']['consumed_data_rng_state_sha256'] for role,row in available.items() + if row['checkpoint'] and row['checkpoint']['consumed_data_rng_state_sha256']} + proof=dict(source_digest=digest,evidence_scope=evidence_scope,task_id=task,roles_available=sorted(available), + initial_model_digests=initial,initial_models_match=(len({stable_hash(v) for v in initial.values()})==1 if len(initial)>1 else None), + actual_batch_digests=batch,actual_batches_match=(len(set(batch.values()))==1 if len(batch)>1 else None), + consumed_data_rng_digests=data,consumed_data_rng_states_match=(len({stable_hash(v) for v in data.values()})==1 if len(data)>1 else None), + actual_batch_trace_gap=(None if batch else 'No direct consumed-batch trace is retained by this adapter; named data-stream endpoints are separate evidence.')) + if task=='five_word_joint_hold': + prefixes={role:row['continuity']['prefix_steps'] for role,row in available.items() if row.get('continuity')} + proof['own_acquisition_prefix_by_role']=prefixes + proof['matching_continuation_start_steps']=(len(set(prefixes.values()))==1 if len(prefixes)>1 else None) + proof['continuation_comparison_scope']='Each unchanged task restores its own earliest confirmed acquisition. Different acquired prefixes select different windows of the same declared training-data stream; do not claim identical held minibatches from matching protocol alone.' + left,right=available.get('r1only'),available.get('r1cycle') + if task!='five_word_joint_smoke' and left and right and left['checkpoint'] and right['checkpoint']: + a,b=left['checkpoint']['numerical_parts'],right['checkpoint']['numerical_parts'] + proof['inactive_joint_inverse_comparison']=dict( + numerical_checkpoint_parts_match=a==b,parts_left=a,parts_right=b, + observations_match=left['observations_sha256']==right['observations_sha256'], + original_grades_match=left['gate_status']==right['gate_status'], + excludes='Recipe metadata differs by the declared inapplicable global joint coefficient; original identities and charges remain separate.') + if task=='clockfree_audit_measurement_v1' and left and right and left['clock_audit_proof'] and right['clock_audit_proof']: + proof['inactive_joint_inverse_clock_comparison']=dict( + numerical_training_proof_match=(left['clock_audit_proof']['numerical_trajectory_sha256']==right['clock_audit_proof']['numerical_trajectory_sha256']), + original_grades_match=left['gate_status']==right['gate_status']) + comparisons.append(proof) + cross_scope_acquisition_replays=[] + for digest in source_proofs: + ordinary=rows_by_cohort.get(f'{digest}:ordinary',{}) + diagnostic=rows_by_cohort.get(f'{digest}:research_diagnostic',{}) + for role in ROLES.values(): + left=ordinary.get((role,'five_word_joint_smoke')) + right=diagnostic.get((role,'five_word_joint_smoke')) + if not left or not right: + continue + acquired_left,acquired_right=left['acquired_checkpoint'],right['acquired_checkpoint'] + acquired_parts_match=None;acquired_differences=None + if acquired_left and acquired_right: + first=torch.load(Path(acquired_left['artifact_root'])/acquired_left['path'],weights_only=True,map_location='cpu') + second=torch.load(Path(acquired_right['artifact_root'])/acquired_right['path'],weights_only=True,map_location='cpu') + acquired_parts_match=numerical_parts(first)==numerical_parts(second) + acquired_differences=differing_saved_paths(first,second) + cross_scope_acquisition_replays.append(dict(source_digest=digest,role=role, + ordinary_attempt_id=left['attempt_id'],diagnostic_attempt_id=right['attempt_id'], + original_gate_statuses=[left['gate_status'],right['gate_status']], + initial_models_match=left['initialization']==right['initialization'], + observations_match=left['observations_sha256']==right['observations_sha256'], + numerical_checkpoint_parts_match=(left['checkpoint']['numerical_parts']==right['checkpoint']['numerical_parts'] + if left['checkpoint'] and right['checkpoint'] else None), + acquired_state_matches=(left['acquired_checkpoint']['state_sha256']==right['acquired_checkpoint']['state_sha256'] + if left['acquired_checkpoint'] and right['acquired_checkpoint'] else None), + acquired_model_optimizer_named_stream_parts_match=acquired_parts_match, + differing_acquired_checkpoint_paths=acquired_differences, + evidence_reuse=False,physical_costs_separate=True, + interpretation='Evidence-use-specific keys require distinct original receipts. Whole checkpoints may differ in ambient global CPU/CUDA RNG snapshots even when consumed named streams, model/optimizer tensors and observations match. Each hold restores its own complete checkpoint, including its own ambient snapshots. Replay equality grants no cross-scope credit or checkpoint substitution.')) + campaign_charges={charge['attempt_id'] for charge in state['charges'] if charge['owner']['campaign']==CAMPAIGN} + assert set(charges)==campaign_charges, 'every charged physical attempt needs its original certificate projection' + output=dict(schema_version=1,scope='source_separated_original_campaign_results',campaign=CAMPAIGN, + partial_snapshot=bool(active),active_request_ids=active, + qualification_input=False,qualification_reuse=False,training_updates_added=0,sampling_draws_added=0, + source_cohorts=cohorts,physical_attempts=attempts,unique_paid_costs=charges, + total_unique_paid_seconds=sum(c['seconds'] for c in charges.values()), + physical_attempt_count=len(charges),campaign_budget=state['campaigns'][CAMPAIGN]['definition'], + comparisons=comparisons,word_parent_proofs=word_parent_proofs, + cross_scope_acquisition_replays=cross_scope_acquisition_replays,generated_leaderboard=False, + interpretation='Existing certified verdicts only. Sources, recipes, checkpoint parents and physical charges remain distinct. UNKNOWN, cancelled, BLOCKED and INCOMPLETE are not scientific FAILs.') + options.output.mkdir(parents=True,exist_ok=True) + atomic_json(options.output/'results.json',output) + print(json.dumps(dict(source_cohorts=len(cohorts),physical_attempts=len(charges), + paid_seconds=output['total_unique_paid_seconds'],output=str(options.output/'results.json')))) + + +if __name__=='__main__': + parser=argparse.ArgumentParser(description=__doc__) + parser.add_argument('--queue',type=Path,default=DEFAULT_QUEUE) + parser.add_argument('--output',type=Path,default=HERE/'publication') + parser.add_argument('--allow-partial',action='store_true') + parser.add_argument('--media',action='store_true') + collect(parser.parse_args()) diff --git a/reports/forge/r1r2-repair-20261022/compact_readouts.py b/reports/forge/r1r2-repair-20261022/compact_readouts.py new file mode 100644 index 000000000..27e526bef --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/compact_readouts.py @@ -0,0 +1,64 @@ +"""Archive full concluded readouts and retain certified final summaries only.""" +import argparse +from copy import deepcopy +from pathlib import Path +import shutil +import subprocess +import sys + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT)) +from experiments.forge.contracts import atomic_json, file_hash, read_json, stable_hash +from reports.forge.regenerate_technique_inventory import project_receipt + + +def compact(archive): + archive.mkdir(parents=True, exist_ok=True) + receipts = [] + for path in sorted((ROOT / "reports/forge/records").glob("*.json")): + current = read_json(path) + if not current.get("study_id", "").startswith("r1r2-repair-"): + continue + original_path = archive / path.name + if current.get("full_readout_archive"): + assert file_hash(original_path) == current["full_readout_archive"]["sha256"] + elif original_path.exists(): + assert file_hash(path) == file_hash(original_path) + else: + shutil.copyfile(path, original_path) + original = read_json(original_path) + record = deepcopy(original) + originals = {(row["compatibility_key"], row["task_id"]): row for row in original["task_results"]} + rows = [] + for attempt in original["attempt_ids"]: + for row in project_receipt(ROOT, attempt)["task_results"]: + actual = originals[row["compatibility_key"], row["task_id"]] + assert row["gate_status"] == actual["gate_status"] + rows.append({**row, "attempt_id": attempt, "metrics": actual["metrics"], + "final_metrics_sha256": stable_hash(actual["metrics"])}) + assert len(rows) == len(original["task_results"]) + record["task_results"] = sorted(rows, key=lambda row: row["task_id"]) + record["original_source"] = original["source"] + record["source"] = {"path": "reports/forge/r1r2-repair-20261022/README.md"} + descriptor = dict(path=str(original_path), sha256=file_hash(original_path), + git_blob_oid=subprocess.check_output( + ["git", "hash-object", str(original_path)], cwd=ROOT, text=True).strip(), + bytes=original_path.stat().st_size, ever_committed=False) + record.update(qualification_input=False, full_readout_sha256=descriptor["sha256"], + full_readout_archive=descriptor, + summary_curation="Certified final metrics, verdicts, decision outcomes and original receipt identities retained. Full per-update evidence is archived byte-exactly outside Git. This display summary supplies no qualification replacement.") + atomic_json(path, record) + receipts.append(dict(record_id=record["record_id"], original=descriptor, + compact_sha256=file_hash(path), cells=len(rows))) + assert len(receipts) == 6 + atomic_json(Path(__file__).with_name("readout-archive.json"), dict( + scope="lossless_original_archive_with_certified_final_display_projection", + scientific_verdicts_changed=False, qualification_recomputed=False, records=receipts)) + print(f"Verified {len(receipts)} compact readouts; originals outside Git") + + +if __name__ == "__main__": + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("--archive", type=Path, default=Path( + "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/archive/readouts")) + compact(parser.parse_args().archive.resolve()) diff --git a/reports/forge/r1r2-repair-20261022/final-validation.json b/reports/forge/r1r2-repair-20261022/final-validation.json new file mode 100644 index 000000000..34311c86f --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/final-validation.json @@ -0,0 +1,140 @@ +{ + "acquired_checkpoint_difference_paths": [ + "state.fixture.api_state.cpu_rng", + "state.fixture.api_state.cuda_rng" + ], + "actual_training_gifs": 61, + "campaign_cap": 24000, + "clock_statuses": { + "control": "PASS", + "r1cycle": "PASS", + "r1only": "PASS" + }, + "collector_source_sha256": "bfbbae431771c4b1fe4127a750fc35ecc3efb5e30125dadecfb7664548dca41d", + "direct_consumed_batch_digests_match_all_three_roles_on_tasks": [ + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard" + ], + "inactive_clock_numerical_equality": true, + "inactive_required_numerical_and_observation_equalities": 12, + "initial_constructor_hash_gap": "two_pole fixed fixture retains no tensor initialization hash; its consumed data-state endpoints and inactive trajectories are separately recorded.", + "initial_constructor_hashes_match_all_three_roles_on_tasks": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "unused_token_hold", + "zero_tanh_smoke" + ], + "media_manifest_sha256": "2b534da62f8ce4b5f4e63708667f65720f8d80a1050e548176bb1f57bac873f2", + "ordinary_diagnostic_replay_checks": 3, + "ordinary_required_counts": { + "control": { + "FAIL": 3, + "PASS": 10 + }, + "r1cycle": { + "FAIL": 4, + "PASS": 9 + }, + "r1only": { + "FAIL": 4, + "PASS": 9 + } + }, + "own_parent_checkpoint_proofs": 3, + "physical_attempts": 66, + "qualification_input": false, + "raw_streams_copied": false, + "replay_note": "Full own-checkpoint restoration retains distinct ambient global snapshots. Actual acquired model/optimizer/consumed named-stream tensors and observed trajectories match; no cross-scope credit.", + "report_path": "reports/forge/r1r2-repair-20261022/publication/results.json", + "report_sha256": "eab4b866c0a1aace69b3c57dbf2e585be2e70540c2e65c09721866edd5b8d8d0", + "scope": "strict_final_original_receipt_and_saved_media_validation", + "status": "PASS", + "stdout": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs/collect-final.log", + "superseded_alias_archive": "reports/forge/r1r2-repair-20261022/media-alias-archive.json", + "total_unique_paid_seconds": 2201.552422651206, + "unrenderable_infrastructure_attempts": [ + { + "attempt_id": "af246dd182814a4290bcb0bc2a2558d6", + "status": "INCOMPLETE", + "task_id": "model_ae_ddgan_gaussian_chain" + }, + { + "attempt_id": "5af9cc5a7c4b4f0d96845699836327c6", + "status": "INCOMPLETE", + "task_id": "model_ae_gan_multimodal" + }, + { + "attempt_id": "e7b1b21bbe9a4493b4325bbdbe78d69d", + "status": "INCOMPLETE", + "task_id": "model_ae_reconstruction" + }, + { + "attempt_id": "eb5ab06789914bd0a0ea6a716321691b", + "status": "INCOMPLETE", + "task_id": "model_vae_categorical" + }, + { + "attempt_id": "067fd49b5eb64231bbc99ffbc50001f4", + "status": "INCOMPLETE", + "task_id": "model_vae_hard" + } + ], + "word_holds": [ + { + "attempt_id": "f45e68ade4c7445f8de8610425231c45", + "confirmed_checks": 25, + "endpoint_exact_inverse": 1, + "endpoint_mass_tv": 0.034570312500000006, + "endpoint_minimum_token_probability": 0.9974690675735474, + "endpoint_modes": 5, + "endpoint_quality": 1.0, + "endpoint_step": 5667, + "minimum_token_probability_over_all_primary_and_confirmations": 0.9100630283355713, + "own_parent_step": 1667, + "role": "r1only", + "status": "PASS" + }, + { + "attempt_id": "92f8e7bccca54227a8cbab86252eff99", + "confirmed_checks": 25, + "endpoint_exact_inverse": 1, + "endpoint_mass_tv": 0.020898437500000006, + "endpoint_minimum_token_probability": 0.9999691247940063, + "endpoint_modes": 5, + "endpoint_quality": 1.0, + "endpoint_step": 4834, + "minimum_token_probability_over_all_primary_and_confirmations": 0.9998086094856262, + "own_parent_step": 834, + "role": "r1cycle", + "status": "PASS" + }, + { + "attempt_id": "fd336640b9504d7091d5b3916e2c6ed5", + "confirmed_checks": 25, + "endpoint_exact_inverse": 1, + "endpoint_mass_tv": 0.020898437500000006, + "endpoint_minimum_token_probability": 0.9979230761528015, + "endpoint_modes": 5, + "endpoint_quality": 1.0, + "endpoint_step": 4834, + "minimum_token_probability_over_all_primary_and_confirmations": 0.9941250085830688, + "own_parent_step": 834, + "role": "control", + "status": "PASS" + } + ] +} diff --git a/reports/forge/r1r2-repair-20261022/infra-v2-admission-preview.json b/reports/forge/r1r2-repair-20261022/infra-v2-admission-preview.json new file mode 100644 index 000000000..8592b03b2 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/infra-v2-admission-preview.json @@ -0,0 +1,196 @@ +{ + "accounting": "Full1200 diagnostic reservation/role remains required. Ordinary acquisition and diagnostic acquisition are distinct evidence-use cohorts, even though other science is identical. Never invent reuse or remove duplicate physical cost. Queue charges actual physical attempts once; any next full allowance must also fit the remaining per-candidate cap.", + "additional_diagnostic_full_reservation": 3600, + "campaign_cap": 24000, + "candidate_revision_cap": 5220, + "new_total_full_reservation_plus_previous_paid": 19644.25248876284, + "ordinary_three_role_full_reservation": 15660, + "previous_unique_paid_seconds": 384.25248876283877, + "qualification_input": false, + "rows": [ + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "3cca6de5d931b16469b0ef0fedbc0b5cb21f55b8af202a7868e94277fcef2037", + "full_job_reservation_seconds": 5220, + "required_tasks": 13, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-control-20261022-tier1-infra-v2", + "study_status": "READY", + "task_ids": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "two_pole", + "unused_token_hold", + "zero_tanh_smoke" + ], + "total_tasks": 14, + "word_smoke_compatibility_key": "36decbe0e0f7cfe5d0688af4368addcee8e29e0e7fa42a40d527108aee472d76" + }, + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "3cca6de5d931b16469b0ef0fedbc0b5cb21f55b8af202a7868e94277fcef2037", + "full_job_reservation_seconds": 1200, + "required_tasks": 0, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-control-20261022-word-retention", + "study_status": "READY", + "task_ids": [ + "five_word_joint_hold", + "five_word_joint_smoke" + ], + "total_tasks": 2, + "word_smoke_compatibility_key": "05226e6e4c431d45df53fa9ac0fa495f3f89c2854a6516822da2617bfda01303" + }, + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "704c803e0c8bf425e1c0cd673b77e0332278cd8163ca9058a95c50a2f00fbdab", + "full_job_reservation_seconds": 5220, + "required_tasks": 13, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-r1only-20261022-tier1-infra-v2", + "study_status": "READY", + "task_ids": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "two_pole", + "unused_token_hold", + "zero_tanh_smoke" + ], + "total_tasks": 14, + "word_smoke_compatibility_key": "42e9cf3752adc586ab0f0901a22a0c4d84e598755bf25f4438d3906fab30d7e2" + }, + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "704c803e0c8bf425e1c0cd673b77e0332278cd8163ca9058a95c50a2f00fbdab", + "full_job_reservation_seconds": 1200, + "required_tasks": 0, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-r1only-20261022-word-retention", + "study_status": "READY", + "task_ids": [ + "five_word_joint_hold", + "five_word_joint_smoke" + ], + "total_tasks": 2, + "word_smoke_compatibility_key": "bd488ae36f83bddccf7a40d113c6d0f45c1056afc63430849597948a445cbab8" + }, + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421", + "full_job_reservation_seconds": 5220, + "required_tasks": 13, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-r1cycle-20261022-tier1-infra-v2", + "study_status": "READY", + "task_ids": [ + "ae_gan_hold", + "clockfree_audit_measurement_v1", + "five_word_joint_smoke", + "gaussian1d_smoke", + "model_ae_ddgan_gaussian_chain", + "model_ae_gan_multimodal", + "model_ae_reconstruction", + "model_ddgan_gaussian_chain", + "model_vae_categorical", + "model_vae_hard", + "ring16_acquisition", + "two_pole", + "unused_token_hold", + "zero_tanh_smoke" + ], + "total_tasks": 14, + "word_smoke_compatibility_key": "7084d7e955557e7f0c81e260abf34156fcc4c4f1c1f0d0fdce65a03de140ed91" + }, + { + "blockers": [], + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate_revision": "de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421", + "full_job_reservation_seconds": 1200, + "required_tasks": 0, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "study": "r1r2-repair-r1cycle-20261022-word-retention", + "study_status": "READY", + "task_ids": [ + "five_word_joint_hold", + "five_word_joint_smoke" + ], + "total_tasks": 2, + "word_smoke_compatibility_key": "718e67ccdfc6266c3cadf075a8cf19b138b8054bf7de16bc965eeedae034295b" + } + ], + "same_source_all_six": true, + "scope": "read_only_ready_study_plans", + "word_smoke_reuse_audit": [ + { + "automatic_reuse": false, + "diagnostic_key": "05226e6e4c431d45df53fa9ac0fa495f3f89c2854a6516822da2617bfda01303", + "ordinary_key": "36decbe0e0f7cfe5d0688af4368addcee8e29e0e7fa42a40d527108aee472d76", + "other_science_identical": true, + "reason": "research_diagnostic evidence_use changes compatibility key; no cross-scope substitution allowed", + "role": "control" + }, + { + "automatic_reuse": false, + "diagnostic_key": "bd488ae36f83bddccf7a40d113c6d0f45c1056afc63430849597948a445cbab8", + "ordinary_key": "42e9cf3752adc586ab0f0901a22a0c4d84e598755bf25f4438d3906fab30d7e2", + "other_science_identical": true, + "reason": "research_diagnostic evidence_use changes compatibility key; no cross-scope substitution allowed", + "role": "r1only" + }, + { + "automatic_reuse": false, + "diagnostic_key": "718e67ccdfc6266c3cadf075a8cf19b138b8054bf7de16bc965eeedae034295b", + "ordinary_key": "7084d7e955557e7f0c81e260abf34156fcc4c4f1c1f0d0fdce65a03de140ed91", + "other_science_identical": true, + "reason": "research_diagnostic evidence_use changes compatibility key; no cross-scope substitution allowed", + "role": "r1cycle" + } + ] +} diff --git a/reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json b/reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json new file mode 100644 index 000000000..cd2717b4f --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json @@ -0,0 +1,1248 @@ +{ + "actual_candidate": "r1r2-repair-control-20261022", + "checks": [ + "actual NS/AMSGrad .0085 (.5,.99), sampled-prior (0,.99) recipe", + "snapshot verified unchanged before and after", + "all imported public implementation modules under frozen snapshot", + "finite model and optimizer state, exact role update counts, RNG deviations zero", + "actual public-API training GIF bytes and integration-only scope; no ordinary gate PASS" + ], + "device": "cuda:0", + "integration_status": "PASS", + "model_tasks_passed": 8, + "qualification_input": false, + "raw_artifact_root": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/infra-v2-smoke", + "raw_results_sha256": "782b4ff01eb3afcf3a815ea103a00ac045d720c2be4ecbdbee2947c66d964e09", + "reproduction_source": "reports/forge/r1r2-repair-20261022/infra_v2_snapshot_smoke.py", + "reproduction_source_sha256": "189c2b58d4488f4eb96c14bf4661b1ea119c3fc5afe6c27fa184c97d249aefbe", + "request_sha256": "56fc1fe659de9636020a8b3096ee8cca8623450e17c2fdc0a6583d2ab3de3537", + "rows": [ + { + "actual_training_gif": { + "bytes": 352680, + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/infra-v2-smoke/model_ae_ddgan_bimodal_chain/api/goal.gif", + "sha256": "3856d27fe09a467cafed1fe03682345e6b0606f19bce7e7d5bf493b7d8920595" + }, + "adapter_receipt_sha256": "a149a056f3b580b9c5c9e7cfb28d508150be2eab70e2c28ee8008f457e584eca", + "all_public_imports_in_frozen_snapshot": true, + "api_receipt_sha256": "78704ea9ca441636262b0f8fbed1818fe3aad86a72e19a98bbedf1b3716e1926", + "batch_sequence_sha256": "b5e4a5b534cd49aeecaea956af362a94fe8fabf7a5ed2853e05dc99a800df670", + "completed_steps": 2, + "elapsed_seconds": 3.7091065219719894, + "guards": { + "all_finite": true, + "hooks_exercised": true, + "mechanism_audit": { + "mechanisms": { + "a2": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_anchor": { + "applied": 0, + "calls": 2, + "eligible": 0, + "enabled": false, + "reason": "disabled by the 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"/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/infra-v2-smoke/model_vae_hard/provenance", + "completed_steps": 2, + "optimizer_updates_added": 0, + "path": "provenance-state.pt", + "prerequisite_eligible": false, + "purpose": "provenance_only", + "sampling_draws_added": 0, + "sha256": "57421017adff2c5231f10fc9e752b48d6e0667da77d54e875efdcb6223a97ed6", + "state_owner": "complete provider model/optimizer/policy/RNG checkpoint", + "state_sha256": "99b0923a004eabd099f90578526ea5c5e12fea9c86575dcc36f00b10ee740feb" + }, + "qualification_input": false, + "scope": "integration_demo_only", + "source_module_count": 68, + "status": "PASS", + "task_id": "model_vae_hard" + } + ], + "schema_version": 1, + "scope": "isolated_frozen_source_integration_only", + "seed": 0, + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175", + "stdout": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/logs/infra-v2-eight-model-smoke.log", + "stdout_sha256": "a7af584594684710db68e3b3ed630c8d39f9766872d32f184cda5775eab1c78b", + "updates_per_task": 2 +} diff --git a/reports/forge/r1r2-repair-20261022/infra_v2_snapshot_smoke.py b/reports/forge/r1r2-repair-20261022/infra_v2_snapshot_smoke.py new file mode 100644 index 000000000..41f2902ac --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/infra_v2_snapshot_smoke.py @@ -0,0 +1,54 @@ +import json, sys, time, importlib +from pathlib import Path +import torch +from experiments.forge.model_toy_adapter import run +from experiments.forge.contracts import file_hash, atomic_json +from experiments.forge.sources import verify_snapshot +from experiments.forge.views import grade_result + +root=Path.cwd().resolve() +raw=Path('/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/infra-v2-smoke') +request_path=raw.parent/'infra-v2-smoke-request.json' +request=json.loads(request_path.read_text()) +verify_snapshot(root,request['source']) +assert request['protocol']['seed']==0 +assert request['candidate']['id']=='r1r2-repair-control-20261022' +recipe=request['candidate']['resolved_recipe'] +assert recipe['loss']=='non_saturating' and recipe['amsgrad'] is True and recipe['optimizer_family']=='adam' +assert recipe['lr']==.0085 and recipe['betas']==[.5,.99] and recipe['prior_betas']==[0.,.99] +torch.set_num_threads(1) +torch.use_deterministic_algorithms(True) +torch.backends.cuda.matmul.allow_tf32=False +torch.backends.cudnn.allow_tf32=False +torch.autograd.set_multithreading_enabled(False) +rows=[] +for name,task in sorted(request['tasks'].items()): + if not name.startswith('model_'): continue + print('START',name,flush=True) + started=time.monotonic() + result=run(request,task,raw/name,'cuda:0',execution_limit=2) + evidence=result['evidence']; guards=evidence['guards'] + expected=dict(generator=2,encoder=0 if name.startswith('model_ddgan') else 2,prior=2, + discriminator=0 if name=='model_ae_reconstruction' else 2) + assert result['scope']=='integration_demo_only' and result['cost']['completed_steps']==2 + assert guards['all_finite'] is True and guards['unintended_rng_deviations']==0 and guards['hooks_exercised'] is True + assert guards['optimizer_updates']==expected,(name,guards['optimizer_updates'],expected) + gif=raw/name/'api/goal.gif'; assert gif.read_bytes().startswith(b'GIF') + grade=grade_result(task,result); assert grade['gate_status']!='PASS' + modules={key:str(Path(module.__file__).resolve()) for key,module in sys.modules.items() + if (key.startswith(('experiments.forge','benchmarks.toy_audit','particlegan')) and getattr(module,'__file__',None))} + assert all(Path(path).is_relative_to(root) for path in modules.values()),modules + row=dict(task_id=name,status='PASS',scope='integration_demo_only',qualification_input=False, + completed_steps=2,elapsed_seconds=time.monotonic()-started,guards=guards, + ordinary_gate_status=grade['gate_status'],initial_models=evidence['initial_models'], + batch_sequence_sha256=evidence['batch_sequence_sha256'], + actual_training_gif=evidence['actual_training_gif'], + adapter_receipt_sha256=file_hash(raw/name/'adapter-receipt.json'), + api_receipt_sha256=evidence['api_receipt_sha256'], + provenance_checkpoint=evidence['provenance_checkpoint'],imported_source_files=modules) + rows.append(row) + atomic_json(raw/'smoke-results.json',dict(source_digest=request['source']['digest'],request_sha256=file_hash(request_path),rows=rows)) + print('PASS',name,round(row['elapsed_seconds'],3),expected,flush=True) +assert len(rows)==8 +verify_snapshot(root,request['source']) +print('COMPLETE 8/8 integration-only; no ordinary gate qualification',flush=True) diff --git a/reports/forge/r1r2-repair-20261022/infrastructure-source-binding.json b/reports/forge/r1r2-repair-20261022/infrastructure-source-binding.json new file mode 100644 index 000000000..6f89a19b4 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/infrastructure-source-binding.json @@ -0,0 +1,256 @@ +{ + "schema_version": 1, + "scope": "future_task_source_binding_only", + "original_commit": "92b565b09b2370ddee1133799b28d5aa3ea13083", + "unchanged_provider_methods_except_optimizer_construction": true, + "task_architecture_data_prior_initialization_budget_sampling_cadence_gates_unchanged": true, + "original_verdicts_preserved": true, + "qualification_recomputed": false, + "training_updates": 0, + "random_draws": 0, + "tasks": [ + { + "task": "five_word_joint_acquisition", + "original_path": "configs/forge/tasks/five_word_joint_acquisition.json", + "original_sha256": "555465029beb34b943734f0472e25382d49c474bdb424b4df4042a705ccb3e30", + "future_sha256": "df64c1b94897c47cbf9d3baa1b1f69b358471b8c1c50d613576b91ea60c22581", + "original_blob": "29dfbc33bd9d76ef6dc644f29b0fb246eeb188ab", + "preserved_original": "reports/forge/r1r2-repair-20261022/previous-task-definitions-infra-v2/five_word_joint_acquisition.json", + "changes": [ + { + "path": [ + "evaluation", + "sources", + 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New-source infrastructure-repair studies reuse the same campaign ceiling. No scientific result is relabeled or retried in place." +} diff --git a/reports/forge/r1r2-repair-20261022/watch_progress.py b/reports/forge/r1r2-repair-20261022/watch_progress.py new file mode 100644 index 000000000..8f8b5b2a6 --- /dev/null +++ b/reports/forge/r1r2-repair-20261022/watch_progress.py @@ -0,0 +1,45 @@ +"""Render the local append-only queue event log as concise, tail-able progress. + +This observes events only. It never submits, grades or alters a run. +""" +import argparse +import json +from pathlib import Path +import time + +METRICS = ("component_covariance_error", "component_min_eigen_ratio", "hq", "modes", "mass_tv", + "minimum_reconstruction_token_probability", "final_projection_cdf", "paired_nmse") + + +def main(): + parser = argparse.ArgumentParser(description=__doc__) + parser.add_argument("events", type=Path) + parser.add_argument("--idle-seconds", type=float, default=120) + args = parser.parse_args() + last = time.monotonic() + with args.events.open() as stream: + while time.monotonic() - last < args.idle_seconds: + line = stream.readline() + if not line: + time.sleep(.5) + continue + last = time.monotonic() + try: + row = json.loads(line) + except ValueError: + continue + if row.get("campaign") != "r1r2-repair-20261022": + continue + event = row.get("event", "") + if not event.startswith("worker_"): + continue + role = row.get("candidate", "").removeprefix("r1r2-repair-").removesuffix("-20261022") + metrics = row.get("metrics", {}) + cells = " ".join(f"{key}={metrics[key]:.6g}" for key in METRICS + if isinstance(metrics.get(key), (int, float))) + print(f"{row.get('timestamp', '')} {role} {row.get('task', '')} {event} " + f"step={row.get('step', '-')} {row.get('status', '')} {cells}", flush=True) + + +if __name__ == "__main__": + main() diff --git a/reports/forge/records/r1r2-failure-diagnosis-20261022.json b/reports/forge/records/r1r2-failure-diagnosis-20261022.json new file mode 100644 index 000000000..1f6da0d67 --- /dev/null +++ b/reports/forge/records/r1r2-failure-diagnosis-20261022.json @@ -0,0 +1,40 @@ +{ + "schema_version": 1, + "record_id": "r1r2-failure-diagnosis-20261022", + "record_type": "family_context", + "candidate_id": "r1r2-saved-endpoint-diagnosis", + "candidate_revision": "a771841dd17bd8780c03f8ebb6e34b8dfe19bc94", + "trainer_family": "r1r2", + "evidence_scope": "saved_state_diagnostic", + "qualification_input": false, + "qualification_reuse": false, + "goal": "discriminator_stability", + "mechanism_class": "frozen_state_force_and_implementation_audit", + "lifecycle": "concluded", + "hypothesis": "Saved public-API states and an independent software oracle distinguish R1/R2 implementation defects from density, schedule and categorical-retention failures without retraining.", + "conclusion": "No implementation defect or validated global recipe fix found. Original Ring16 failure is density quality despite all 16 modes. The strongest NS control has substantial critic gradients but its projected radial force contracts already narrow spread at both integration orders. Fixed-width MMD improves an output-space covariance derivative but worsens it after saved generator/prior and AMSGrad projection on both finite panels; it remains untrained. Selected word hold has 4/5 severely attenuated categorical atom gradients in float32 and float64 and no explicit reconstruction training loss. Independent G/D/learned-prior update oracle and adjacent suites: 110 tests pass. Original outcomes and the single current leaderboard remain unchanged.", + "next_action": "Keep MMD deferred and stop the concluded optimizer/energy/prior-freeze revisions. Treat 6400-update schedule PASS as a distinct fragile diagnostic, not a 1600-update repair. A word logit-space reconstruction intervention is only a future explicit recipe hypothesis. Require a supported generator/optimizer-aware mechanism and a fresh bounded matched campaign before any global recipe replacement.", + "source": { + "path": "reports/forge/r1r2-failure-diagnosis-20261022/README.md", + "sha256": "fc4fa7f3e1988cdaed3d4d862d1625c72511a10b4304a202becb3dab0020ad0a" + }, + "provenance": { + "inspected_source_commit": "a771841dd17bd8780c03f8ebb6e34b8dfe19bc94", + "archived_repair_source_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "scientific_training_updates_added": 0, + "scientific_sampling_draws_added": 0, + "paid_training_attempts_added": 0, + "original_gates_recomputed": false, + "production_behavior_changed": false, + "software_scope": "Seven independent one-update oracle comparisons; additional existing unit tests are software verification, not scientific training or qualification.", + "diagnostic_scope": "Frozen original states. 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-4251,7 +4253,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "0f620d0d66208b96ab7853c1659c55223cf2f9dfe6f6b796c59958764319c86d", + "compatibility_key": "7f20695be7639f5c54c90597b3e7f8df187095d2ac7a4f2fcf3ed59447f1dd0a", "cost": { "adapter_loop_seconds": 11.181080698996084, "adapter_seconds": 11.419530280982144, @@ -6200,7 +6202,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "24968642ca11617f5a6ab94d2cfd24075d11b70c65b98bcb86f12ce541a90025", + "compatibility_key": "0749fe74bb716d08419a90765e27450835a10bbe3de71dc99c88af29dc967339", "cost": { "adapter_loop_seconds": 50.84526471802383, "adapter_seconds": 54.09852194599807, @@ -8295,7 +8297,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "230416065522b98e3e134fe898f965bb92e35543d33637f74eb0774f776eca6e", + "compatibility_key": "315083beac83dd542588d57c86acd72e9372db43015408bbdf1f9e230c1b4018", "cost": { "adapter_loop_seconds": 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"913a6f5530a5ef54a4fdbf59799418c17bf41dc2550a574b2d8ab2d387d6285b", + "compatibility_key": "b210af6ae15a73e3db95311905ef1a4758251c5181e3e5fa3bfad83d3f1ea123", "cost": { "adapter_loop_seconds": 44.53980296399095, "adapter_seconds": 48.721513172989944, @@ -42675,7 +42677,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "06b270535561b2005acadcb9ccc2f45e0f9eccf52b3d57cbaed4230a662d3233", + "compatibility_key": "8df20c146cef973bd330097da3b4aea95e8e6e654191b7e3d3575819abe1efb8", "cost": { "adapter_seconds": 1.1628869060077704, "charged_task": "two_pole", @@ -43129,7 +43131,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "8a486f4576b4af98ab38a168e282f17262d97133b21f88327b981a645c966e16", + "compatibility_key": "3198b538a41920a0580b56cf858233f0f8adb0b30f863438314b4d44308651eb", "cost": { "adapter_loop_seconds": 40.21698829799425, "adapter_seconds": 43.73783374400227, @@ -47363,7 +47365,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "914edec27c6387665730f163afb92c8740af13fae3dbff5fe34d24ce55d72aae", + "compatibility_key": "4a9a912c39f4f4a3c0fd03cc75190cc9529e7353c4d4633d4b261eaaf807b19e", "cost": { "adapter_seconds": 2.3480559560121037, "charged_task": "unused_token_hold", @@ -47915,7 +47917,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "085019e4f67974bcc57bdf28ff7b1f01391d380c3b42fba9db30001f7f398dde", + "compatibility_key": "4f8272956055aaa0d4f802a9c0c566c7539aa23965e89613f170d94f9ac01f99", "cost": { "adapter_loop_seconds": 760.8894244190014, "adapter_seconds": 761.0741264190001, @@ -51150,7 +51152,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "c1bd6f99645a9b72c71530344c43d0d120b6ce9f697ad4e11f72d1218cc0fc1a", + "compatibility_key": "85948d24afd2012b5b8980dfc08aa175327b008e292a468efb4baf71572a615b", "cost": { "adapter_loop_seconds": 27.320744877011748, "adapter_seconds": 30.950766063004266, @@ -53534,42 +53536,42 @@ }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "f845ac3607fc5af63af5459d9c9433daf654446270a1f9551f7ae003188c63a1", + "compatibility_key": "cf5a2ff47d241fe5dabd54f38f339b85ea72b8b060a6145ab45498a820b4b8b5", "gate_status": "PASS", "status": "PASS", "task_id": "model_ddgan_bimodal_chain" }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "2ce12e4f241e1389b7e8f5e05d9cdca88aae14741e581dc2a2e79d11a4b854bc", + "compatibility_key": "6fe7c2d2dba4fbb8fe9d860c635a70524eb519e395aaa58c6e76e4a3f102791d", "gate_status": "PASS", "status": "PASS", "task_id": "model_ae_ddgan_bimodal_chain" }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "565da2aa7467036e3fa31b0d300ae4bca36e1cfbc4feaa90a493364283f21cef", + "compatibility_key": "b2bb5d676b80625af157578d59367e554167001c8ef581a26e32a7dcbdb746c3", "gate_status": "PASS", "status": "PASS", "task_id": "grid100" }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "4abbb06156b9035f165c8d837e9ec5e9b14b8024a8c0cd5c7cbf0e83841e331f", + "compatibility_key": "a9d522b9beb2d8dc40b7d4c217b33e9d36cd17ff6cd004fe472cd907ebe524cd", "gate_status": "PASS", "status": "PASS", "task_id": "rotated100" }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "c99ca2a6f06d09686c627da98e047b802c5d0fcaaefd9ff1aba788edf56e012c", + "compatibility_key": "aacd9008f8b05498bcc69c9beb693acda08625ab421c27946af58092f8d211f6", "gate_status": "PASS", "status": "PASS", "task_id": "staggered100" }, { "_attempt_id": "20b7cdd05cd24eafbdcd579c83c602ef", - "compatibility_key": "7d75b150844dddf300bd630f0056517c0a49df636bd76d0586298125a19b6e3c", + "compatibility_key": "1a0d1562700fbac87e5f56d1190f8c1ffdc9368e074a83d4de283bcf8c7dd0a0", "gate_status": "PASS", "status": "PASS", "task_id": "mode_hold" diff --git a/reports/forge/records/readout-143d85d4540548b0ecec1604.json b/reports/forge/records/readout-143d85d4540548b0ecec1604.json index 44927690e..ae7c362e4 100644 --- a/reports/forge/records/readout-143d85d4540548b0ecec1604.json +++ b/reports/forge/records/readout-143d85d4540548b0ecec1604.json @@ -17,7 +17,7 @@ "f5f384df3e364b4cafbc2e4d4d398949" ], "candidate_id": "bispf-optimized-quintic-v1", - "candidate_revision": "564199402b930f49e6c8862c7cd09f9198575aa32a5c35f4ea5289901f143d59", + "candidate_revision": "6db8151c1a987602f94a8b9e854b003b7176fec3c3039cde07679d8960ae9c1b", "claim_contract": { "sampling_law": "task_declared", "schedule": "scheduled", @@ -280,7 +280,7 @@ "record_type": "scientific", "schema_version": 1, "source": { - "digest": "0a1dcd6192a8f524eb19bc2d77bd35dcfecfd62d401833c1a1bea251dbd1e002", + "digest": "9cc0515fd4e7b966f3ecac95b78445e588f354a7659b885259f0bc8ab7ce48fc", "files": { "benchmarks/__init__.py": "5b3d047f10122eef719de3126e7424b671376d0c1b4392208a5f487f15eed0f7", "benchmarks/gan_v3.py": 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"benchmarks/toy_audit/canonical_selection.py": "b4ca13f7d4ad41b6532ffa7ee063ed2acf0a6f3e43dd9e5562164386d6e67790", @@ -1307,7 +1307,7 @@ "experiments/forge/__init__.py": "5716a43a13f31b3c0987233e7b6e063c311a3b3f9bced2ffcd5c6af6565b7355", "experiments/forge/__main__.py": "b7c23b7270df67bd62ce81b26ecdf9afc11fda3532cc94366841512e84653dd1", "experiments/forge/adaptation.py": "24b0cffe645b99c2a7d9ae298b32bdda1086d0035aebed6d6a925269f05b29ee", - "experiments/forge/adapters.py": "45bddb429921152ffc33b7df82962b41d743b66561d87189266fe1c0b5f63764", + "experiments/forge/adapters.py": "9466ba304bd61d0b084f159d2d251cd6916ff7248861462fa6aee55ee347953c", "experiments/forge/api.py": "00cbfa57a8c84dac8dad4553711464751f09a7232b78c6ae29cdb33c44f7098f", "experiments/forge/archived_recipe_readers.py": "94a323cfb731b174ad82eeb11750847f81fcace78cbd897797ad8fc354540d4a", "experiments/forge/artifact_resolver.py": "0397f9d89539e59e1f966220c9a675d5255e13167a778fa35a8eab0ad9bccd7b", @@ -1347,7 +1347,7 @@ "experiments/forge/evaluate.py": "e1873f056c732b14c456a6a196f5756e855a63b7ae2f77dfde1c6ee671d221df", "experiments/forge/execution_policy.py": "920b51c509e5afa41ba35dafc34371645956fe601112fe4a1e9b377ec13e7665", "experiments/forge/family_documentation.py": "0fc88bb3f343d7d8e0d236aa8e976e43695ab24f9b3dea7b0c93b5949c2db78f", - "experiments/forge/family_reports.py": "ed586bcd04a9eb61e8215598ce1222a5f916da5bd51bd37d80ec020d0bac9578", + "experiments/forge/family_reports.py": "e322c998a8d4f5531f971df4b28436b4c1a533a484c460468fba2a758bb86577", "experiments/forge/gaussian_tasks.py": "536863c58e7fcc35583b1ea5c890e6fd7093802f23f58fb36dacb5bdd7054619", "experiments/forge/grouped_evidence.py": "092bed1aa4a1a2c097d82b76464c7fd25a3cb98a5da749badde5185009dbf2ba", "experiments/forge/history.py": "85880c2d83f3f45cdfc9b54834d29c5b8ae1c11e4edad527009938a95282bffe", @@ -1355,7 +1355,7 @@ "experiments/forge/imageprofiles.py": "6f667f11b68e2d14f8610444c5fbd58bc87b080b50d0ad4b29f496e989bfc470", "experiments/forge/initialization.py": "c2674617c306e24337f1dbbf910d2110b7c852557b9c3e43b47f7fe1dce26634", "experiments/forge/knowledge.py": "b292a7036f4edd41eba184a2e3f7be60e49d821f03006b0bb76926737cbe91ae", - "experiments/forge/leaderboard_contract.py": "b8f16a5a07c6f6058f670eed1d0aa538d4c68c2e84a74cae68f2a765d02575a5", + "experiments/forge/leaderboard_contract.py": "d03c22cc21a280f2793ccf5adfc5e0c25509bade2a9e9753b391f35b393d75c2", "experiments/forge/lifecycle.py": "1e3b93d4dd56f212bb4943a20fb681ed87b436302b390662b35622d20655cab6", "experiments/forge/mechanisms.py": "8e76953fd6df27646ed4e4da2827cccc811be76b3974cafbdd17128e01b10a2d", "experiments/forge/model_toy_adapter.py": "714be671402d345a7a33be0d43f18c02da0b9cd30dbbc04dc04b465fe434bd54", @@ -1377,6 +1377,7 @@ "experiments/forge/policy_gaussian.py": "078c341d3ab1bb793166a134384c5687081f11d0c9c4e5f6b5f189d97a88666e", "experiments/forge/policy_publication.py": "e1979089cef132b94018aa343d00eab89fe277ecb191b7a96aed4b1ebb40ae47", "experiments/forge/pr399_scores.py": "ef43922822361add100c0608cb00685b60f055cdf9f44f4736fb2580574ffb38", + "experiments/forge/precision.py": "99a9f0910c9f9587f2c49b48013a437ff6288bff06dfbddaddd364333046473c", "experiments/forge/preflight.py": "22b69480187d5a5595490ea356deb63f44e14039389c576984b6d4217aafa90e", "experiments/forge/priors.py": "99f2e11e2425dc406673ff3f63973f062b2feea113231f3775fad1ad3f5ed595", "experiments/forge/promotion.py": "313c5d5c1a23907399899d25c1dc0984e1b70d257d29c9675837a22936b051da", @@ -1420,7 +1421,7 @@ "experiments/forge/transfer_cadence.py": "7b4f61062ead145603e08182ab8ca1d6f8739f6570ebf6387171d1f8319f537a", "experiments/forge/two_pole_observer.py": "452036923c18aa459601ee83b1fb781bfbd5c9e777ccf22612aabb15a4c9b006", "experiments/forge/vectorprofiles.py": "a13fd4e8d894e9fda29bb9ab4ace64eea88c7d4d5b3d256663987c96c8c7020e", - "experiments/forge/views.py": "a158e0abea9c0e3eec59bedf2bb930d25ed529bf07415447615d08f2d3b5d1fb", + "experiments/forge/views.py": "14026b01157d7c8034220e3c9e52e32a2ab0ad00356c1a607f4078c8ec8b6d25", "experiments/forge/word_adapter.py": "35ee665b3fe841636952d78c252208e32da5768d5eecf1a132de6aa489fed125", "experiments/forge/word_tasks.py": "79dd0d4c04989e07e168347255c0db3adc62cc5d0b657c27b9b71b0055761814", "experiments/forge/worker.py": "1b274827279313381f5b92e550b71fb575804c4abe60a02a549247970b99753a", @@ -1531,7 +1532,7 @@ "lib/vendor/concept_slider_core/reference.py": "c5ef81e49826a8b9065f1b1ab11b03f3fccce7a93c9de8d31b897f668f48b833", "lib/vicreg_loss.py": "16eaf1f57450d8b81de801fe3c1d9e0f28b8842c8669a23bfa4a5f20db5b6cf8", "lib/yue2_particle_toy.py": "3614955db1eb00cd7113022915ed9c4f22a1c053f80e79dbba9e7528252cb808", - "particlegan/__init__.py": "c532abc7f6e0a16d19f1264921464a647ed777c1fec2ea5d9a5923b2e2139a58", + "particlegan/__init__.py": "fcfe9c4dd56ae58f9cb68b765e2185ba3bc8a8b22f8b13154239a102740b9ba9", "particlegan/_bispf/__init__.py": "30901eab7006010aaf29fc695b38461d8429e581e863dfabedce1f6ff413f0a7", "particlegan/_bispf/critic.py": "a843636662f973a700438288afe3470acf98dd4ded7f900501a27c5bc9cc97f1", "particlegan/_bispf/engine.py": "2fa6574a93e20088e6d63e638eb2d53a1e362fcf156b0253161ba8fe572e0e93", @@ -1565,7 +1566,7 @@ "particlegan/feature_reference.py": "e0c3a6d600d136f02f8bf3df4aab6bad4816506ef94519f7800153aded18fd0b", "particlegan/gan_loss.py": "f73cc593aef5d7507dc1a468ee261cc186c8dbfbee3a0aad769b6e252c2c143f", "particlegan/grad_regularizers.py": "a540d05a4a992540b6a5f3b5ff7ccc11ebaf18592135b87c95638adbe68aa747", - "particlegan/gradient_response.py": "a83a9415e1cc60337d33f6eeec9db314df8f2cf6a8b08d5933f9734ec38cb3bc", + "particlegan/gradient_response.py": "2417e7154ade03dc91fc692fbd53ea0d154fa4f4a5db2fac8e8f3c956e5e1f56", "particlegan/init.py": "3534ff23efa413cdf8b4125b91e0d30671d873b3e2958547d4e744b750454b9b", "particlegan/initial_mmd.py": "4c3f949cc2ec307b5860f03721114a504b8634e35620d20c7d3431eb7539968a", "particlegan/k3p.py": "0cbb09526d22a14e6df35c5a3dc94e21158d93d3fec882a41f82445668952564", @@ -1573,6 +1574,7 @@ "particlegan/kinetic_transport.py": "8922627370b55e9e6b47e4c946f94cbd23f87bf17a94c6b9410fcf3c3967c1ee", "particlegan/latent_geometry.py": "ff23493141f2352ad858a5f410c842653101936e3de81bc94110a8a165b2fe8f", "particlegan/latent_lineage.py": "ddfa6d7e94040179d8183e3dd3f48ef523c41223f2a8a45221c34fd8b9fd05f6", + "particlegan/low_precision.py": "8f9f4e5040e984feec6434cfb227eca2851aa47ef40d8b3b6dbce1c66360e7dd", "particlegan/mean_transport.py": "9a3cce37435c32186838e47c8e3f5b1c1ddc0a9aeb7e6c5c380972ef9a3e0208", "particlegan/moment_tether.py": "b2ae60a4322e788e6eeb0113eff9dd0260c91285680715f9b7f835e1561af587", "particlegan/optim/__init__.py": "34d32360b434685d6b88e346ffc68445759c889bac3fbe30c0d30d65eec5bc19", @@ -1598,14 +1600,14 @@ "particlegan/row_evidence.py": "f5814ed469089c74c9d9cbc21ffd1f72c102a409b9fe1591e8230e42427b04c2", "particlegan/sigreg.py": "96bac4b2344f9d505a7d767ecfbb58ab06442e2a1de1a48ea479baa2288e048b", "particlegan/tensorflow_adam.py": "37f1192e48b84907446d8f676c62631bf87ff450b2a2e6b63e7489adc33e24e9", - "particlegan/training.py": "05272bd524b9c2c0812d4e9db912970fbdaa90eabba7763a1e251058dab007fe", + "particlegan/training.py": "e8bc8cd5e24b40dea15c5ab699fc3d8bf50c1b71073bea2c1e15cb7300877085", "particlegan/vicreg_loss.py": "177a68b98036e4725cacf6bc0d95277111184c0dcb9566d3f7fc1527046cefda", "reports/forge/k3p-two-pole-horizon-v1/prepare.py": "bb0ef441a18b71ca9aef0781bc4f0600f0ed320e2dfbb96042484e21ebf33c6c", "reports/forge/k3p-two-pole-horizon-v1/run.py": "a09e93c791c5b9c4dc6145ea3483b4e97ad8707aabfc46215713303e70924341", "reports/toy100/gap-fill-20260925/sources/k3p/convergence_gate.py": "a29c8c21083195c2944a2b2509ec7d4b96e6fc1eb7c3fa6df70d51dea6fe1ce0", "reports/transfer_suite/unadjusted/leading_profile.json": "38327c94dd8c1ad2729ab07a5866191d2c4ec05b3acb841498d5abd786d691dd" }, - "origin_commit": "9904e51f74061b931c29a8662fb39a9422175a8a", + "origin_commit": "07df6f4956085c0d4c0bceaaee48e8b8ef3126bb", "schema_version": 1 }, "study": { @@ -1693,7 +1695,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "5aa97f30b40aa5a81a08ecf3292e2a8fad7dec6028a4575645c50f188802ea6c", + "compatibility_key": "c41c7428191d6bf568ca5e87950db1d4fe6b199431723d4c5e3e22527d526da7", "cost": { "adapter_loop_seconds": 75.9080520440184, "adapter_seconds": 76.26483041699976, @@ -22825,7 +22827,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "728608cd8fa2aef0b2c359a2ec3ae7bff0e95471c6512000c715895d9f7106f4", + "compatibility_key": "784e1735f36704d9b2b1f52b25e9c9444e67d59339dccc61dce0e828334a30e6", "cost": { "adapter_loop_seconds": 46.21895259802113, "adapter_seconds": 49.795052353001665, @@ -25222,7 +25224,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "5049a7a8aec369b1d2b7711261c93f1f7862873878c66cc2a812b07bd0b9f1ee", + "compatibility_key": "74fc318c05a17c5edbe4f55a75a99ba37d88dc13881c1495a67f88e603d94dc0", "cost": { "adapter_reported_inclusive_seconds": 1.7513236369995866, "adapter_seconds": 1.7602077379997354, @@ -25484,7 +25486,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "635f0b16b57dfaf141ec34cbb4cc4170aea3c9c3bb4afce3b588c2409e75e1fb", + "compatibility_key": "dbe28a3d560e446a799acb917b10beabcce206ebc4dacf62d4ca16301333386d", "cost": { "adapter_loop_seconds": 796.8952024980099, "adapter_seconds": 797.1736915349902, @@ -28685,7 +28687,7 @@ }, { "_attempt_id": "40d539d69aae4995a61fc5b1d2c2e051", - "compatibility_key": "635f0b16b57dfaf141ec34cbb4cc4170aea3c9c3bb4afce3b588c2409e75e1fb", + "compatibility_key": "dbe28a3d560e446a799acb917b10beabcce206ebc4dacf62d4ca16301333386d", "cost": { "charged_task": "five_word_joint_smoke", "device": "1", @@ -30834,7 +30836,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "e2d1910a092411d10892a2eb4d6f3a1899cac6766eae7cec7cf82f87f925c5fe", + "compatibility_key": "25b07a654336e97de260f80978e5b2b2369e4612144fa1a35258021d7769b0b8", "cost": { "adapter_seconds": 4.755380738992244, "charged_task": "ae_gan_hold", @@ -31290,7 +31292,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "3b2456d59978fdc9b983d5a1f01980a49ad6076d43f2ce89a7ae471f787537be", + "compatibility_key": "c1aa04a86116fb5b28e67d4f63bba0522dd9581ede9e9b7bf688b544b9f96f40", "cost": { "adapter_loop_seconds": 29.036343784973724, "adapter_seconds": 29.3886373960122, @@ -33243,7 +33245,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "0d2c034e5027c0cae3a2a1c6ae7a290d33dc6497969dbf1891663d2d8d9af494", + "compatibility_key": "b19a07d48eaaa915c9068ac6dcf20e81eabb48d7c60a921f6b675a857b1b834b", "cost": { "adapter_loop_seconds": 139.32227534099366, "adapter_seconds": 145.5472579159832, @@ -36639,7 +36641,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "9b71f7667f41409a0360d36651ac3f94f1ceecdeb28cb8b73f8b744628f0d1ef", + "compatibility_key": "2ca417a4ffbf1ec33648dc36c1e0a00946e12a582846c19e6c12e31f4ad17f94", "cost": { "adapter_loop_seconds": 18.05328956298763, "adapter_seconds": 18.436933819000842, @@ -39333,7 +39335,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "62509341fad4ad78743dca6234b3a908eec1baa4f99a40daf4f63b22deec53b0", + "compatibility_key": "fae0052aca2a7aa2a47b56237251b8d7b0a1ad313780a0990ae5cbce84525150", "cost": { "adapter_loop_seconds": 103.34685424598865, "adapter_seconds": 107.58779744201456, @@ -44251,7 +44253,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "efba590438dd9814021aa7600101fdcb3fcb0b5115d9d9c3762e3afc26996bf2", + "compatibility_key": "42db8f64072980d8bc7bce0ac9a905b63822569449ccc9b6a1d27f2116abcbd4", "cost": { "adapter_seconds": 1.574781200994039, "charged_task": "two_pole", @@ -44705,7 +44707,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "76dcb119ffc4fe2e9c8b4120b2b6b689a101e97a35bc98720136cb8cf9f2379b", + "compatibility_key": "4e1a28d6aa692eb178a83845ee3ce0672ab0912d1b33659426acbff705f6f690", "cost": { "adapter_loop_seconds": 94.17797258801875, "adapter_seconds": 97.54156437001075, @@ -46798,7 +46800,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "ad8b5f954d43f7e9d795cc4145a656d96a92399188d09d2ec494c1665b3bb861", + "compatibility_key": "192421b92cbd707db15a1042a593633e59aaea21b868118718ff2c62da9b444c", "cost": { "adapter_loop_seconds": 56.67958638400887, "adapter_seconds": 60.15675081597874, @@ -48810,7 +48812,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "ed8bcea0a4f0b47406c35225d014a1cd7433d0552d80638fd24a09d640ed331d", + "compatibility_key": "4a245fd6ea915c7db510ac63e93199edda4594344a8dedaba3413643752e81af", "cost": { "adapter_loop_seconds": 47.41284041199833, "adapter_seconds": 51.155013074021554, @@ -53049,7 +53051,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "56bb99d90afebec24713971aaf56870224ee60b5fd9ced34b3457522c54222b3", + "compatibility_key": "5b377f4021ad06665b2e838112d0ba65b6ed743dbbf887737d9e26a842068be8", "cost": { "adapter_seconds": 5.108894108998356, "charged_task": "unused_token_hold", @@ -53565,42 +53567,42 @@ }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "5445b4e6dcba3e3525e79cfac7556e8c5e72fd91a292b41d83d3e60c4c68043d", + "compatibility_key": "66192b4ee1568da713114b63fbc25e2623e56f590193e0746123ff171df2b478", "gate_status": "PASS", "status": "PASS", "task_id": "model_ddgan_bimodal_chain" }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "d69043492cbeae17169785bca4626e7048894245890ce5bfbce1b087946e54c4", + "compatibility_key": "c288e58ae8803e96efb1cbe97bffe892c0506945d8363f2c3cfc908d8b904891", "gate_status": "PASS", "status": "PASS", "task_id": "model_ae_ddgan_bimodal_chain" }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "4a0821f358af60c59146dbbd758f125534d66d49742e3f752ab62bfcdd192ab2", + "compatibility_key": "0943b141ad67b0ca5264f3b1c8c5e80d2c7699d98b255429eec398cd45f4ed82", "gate_status": "PASS", "status": "PASS", "task_id": "grid100" }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "ec1621dbd1e17b7982cda54b9256e2f9e0be561e74e57550765ffa4098f34e63", + "compatibility_key": "2ee2cce3406532a8fbe314c9d2652aa473fddbda1c561134a52df28805f59c89", "gate_status": "PASS", "status": "PASS", "task_id": "rotated100" }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "5d16a29d94b5284611227422a508fb91cdd3d7fbef034add1eb315e47db6e6f3", + "compatibility_key": "2bc505b37074560054a68a6acdc47349fe9df8ca57d52104b6c8b5f81f058aa6", "gate_status": "PASS", "status": "PASS", "task_id": "staggered100" }, { "_attempt_id": "24c1108ac40e4ea1adcc2ca091a7afed", - "compatibility_key": "f7941e87aa9b07050df0af2c554ea384894e69421ce6b79133e0c5063d9b0364", + "compatibility_key": "514aa85565a1c9d9de3b70ed960fc2b95b02851985b5ebd64d6502eb6dfad3d8", "gate_status": "PASS", "status": "PASS", "task_id": "mode_hold" diff --git a/reports/forge/records/readout-15fd8ba9f7b947395f31c418.json b/reports/forge/records/readout-15fd8ba9f7b947395f31c418.json new file mode 100644 index 000000000..b7aff0f19 --- /dev/null +++ b/reports/forge/records/readout-15fd8ba9f7b947395f31c418.json @@ -0,0 +1,401 @@ +{ + "attempt_ids": [ + "92f8e7bccca54227a8cbab86252eff99", + "eeb75c0be0414f6dbc95226a0fdcc2bf" + ], + "candidate_id": "r1r2-repair-r1cycle-20261022", + "candidate_revision": "de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Exact b33e375 source, own acquired checkpoint bytes/state/key/revision and named consumed streams verified. Diagnostic and ordinary acquisitions have distinct evidence-use keys and paid attempts. Control/composed prefix834 and R1-only1667 imply different hold data windows by the unchanged task contract; compare original task outcomes, not a fixed-window causal hold effect.", + "conclusion": "Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update834, endpoint minimum token probability0.9999691247940063. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates.", + "decision_outcomes": [ + { + "attempt_ids": [ + "92f8e7bccca54227a8cbab86252eff99", + "eeb75c0be0414f6dbc95226a0fdcc2bf" + ], + "binding_errors": [], + "causal_judgment": "requires_review", + "contract_sha256": "5be9f6e21f4adcb7f628bd6eaa12b1600f025675e23a4c3b096d15ebaabd421a", + "duplicate_task_ids": [], + "execution_authorized": false, + "max_rounds": 1, + "next_action": "review_saved_diagnostics", + "observed": { + "falsifier": { + "satisfied": false, + "value": 0.9999691247940063 + }, + "prediction": { + "satisfied": true, + "value": 0.9999691247940063 + } + }, + "outcome": "prediction_observed", + "provenance": [ + { + "attempt_id": "92f8e7bccca54227a8cbab86252eff99", + "producer_request_id": "38062dff0ed132ec1f682705", + "producer_study_id": "r1r2-repair-r1cycle-20261022-word-retention", + "result_hash": "033dc48a4607b251c2f9a03542c5dacdf2c460459e5272cfd12e5ae40d51d8a0", + "valid_receipt": true + }, + { + "attempt_id": "eeb75c0be0414f6dbc95226a0fdcc2bf", + "producer_request_id": "38062dff0ed132ec1f682705", + "producer_study_id": "r1r2-repair-r1cycle-20261022-word-retention", + "result_hash": "6b40c223b53bfe3a6160e4317d7bded96fdb8cd107315cb0a8a10009bf2946c3", + "valid_receipt": true + } + ], + "qualification_input": false, + "reuse_note": "Compatible original receipts; overlapping readouts are not independent runs or additive costs", + "schema_version": 1, + "study_binding": { + "binding_sha256": "5c6ff4dd4a8859801b35eb3ffab6aec807339676c20aaa25f6c5fa4904e8e9ea", + "contract_sha256": "5be9f6e21f4adcb7f628bd6eaa12b1600f025675e23a4c3b096d15ebaabd421a", + "control_binding_sha256": "479312331811ee6c02f1cfe195d5012b0afc54b408bf8aa1ef90871965622e4d", + "policy_fingerprint": "4228e8b82467f10ffc98298e28e2df9ce013e1f4c7ada30af9e740f842f975e0", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "1811b01411a9034a02098cfac3c7142419b7d9febb7146c2e9f463709fbe1243" + }, + "study_id": "r1r2-repair-r1cycle-20261022-word-retention", + "study_sha256": "1811b01411a9034a02098cfac3c7142419b7d9febb7146c2e9f463709fbe1243" + } + ], + "eligible": false, + "evidence_scope": "research_diagnostic", + "full_readout_archive": { + "bytes": 14679, + "ever_committed": false, + "git_blob_oid": "d555b442bb283b2bbc85c29045b1a035e511aca8", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/archive/readouts/readout-15fd8ba9f7b947395f31c418.json", + "sha256": "328867c4061d0e11a28ee8f9520d729c684e4b277c9678b8d1c9dcd7c691fb92" + }, + "full_readout_sha256": "328867c4061d0e11a28ee8f9520d729c684e4b277c9678b8d1c9dcd7c691fb92", + "goal": "r1r2-repair-word-retention-20261022", + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "lifecycle": "concluded", + "mechanism_class": "structural", + "next_action": "Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate.", + "original_source": { + "path": "reports/forge/attempts/92f8e7bccca54227a8cbab86252eff99/result.json" + }, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "provenance": { + "attempts": [ + { + "attempt_id": "92f8e7bccca54227a8cbab86252eff99", + "result_hash": "033dc48a4607b251c2f9a03542c5dacdf2c460459e5272cfd12e5ae40d51d8a0", + "valid_receipt": true + }, + { + "attempt_id": "eeb75c0be0414f6dbc95226a0fdcc2bf", + "result_hash": "6b40c223b53bfe3a6160e4317d7bded96fdb8cd107315cb0a8a10009bf2946c3", + "valid_receipt": true + } + ] + }, + "qualification_input": false, + "qualification_reuse": false, + "qualified_tier": 0, + "record_id": "readout-15fd8ba9f7b947395f31c418", + "record_type": "scientific", + "schema_version": 1, + "source": { + "path": "reports/forge/r1r2-repair-20261022/README.md" + }, + "study": { + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1cycle-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. Retention is falsified by any original primary or independent confirmation failure among the restored-state+24 scheduled checks, including generation, diversity or inverse bounds; a passing endpoint scalar is insufficient. Use only the earliest confirmed same-candidate/source parent with exact model/optimizer/prior/RNG restoration, or report BLOCKED. No resampling, changed cohort, scientific retry, altered gate or promotion of failed ordinary13-task outcomes. Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "r1r2-repair-r1only-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-r1cycle-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_word_atoms_and_declared_target_enumeration_only" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/word-saturation-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } + }, + "study_id": "r1r2-repair-r1cycle-20261022-word-retention", + "study_sha256": "1811b01411a9034a02098cfac3c7142419b7d9febb7146c2e9f463709fbe1243", + "summary_curation": "Certified final metrics, verdicts, decision outcomes and original receipt identities retained. Full per-update evidence is archived byte-exactly outside Git. This display summary supplies no qualification replacement.", + "task_results": [ + { + "api_version": "forge-api-v1", + "attempt_id": "92f8e7bccca54227a8cbab86252eff99", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "c0f7cfe01a6dce79e8cf64b474a6328d155faffb9131811de0d73d00ac839e66", + "cost": { + "adapter_loop_seconds": 25.642299577011727, + "adapter_seconds": 26.105743183055893, + "charged_task": "five_word_joint_hold", + "completed_steps": 4834, + "device": "0", + "execution_seconds": 31.639766608015634, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 4000, + "optimizer_updates": { + "discriminator": 4834, + "encoder": 4834, + "generator": 4834, + "prior": 4834 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 23.70825477357721, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 25, + "seconds": 0.7332191550522111 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 4000, + "seconds": 22.975035618525 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 27.31236452201847, + "wall_seconds": 31.639766608015634 + }, + "evaluator_summary": { + "confirmed_checks": 25, + "endpoint_passed": true, + "first_confirmed_step": 834, + "observations": 25, + "passing_observations": 25 + }, + "execution_path": "public_components", + "final_metrics_sha256": "7ef3b8b1ad8bb070261e8da14026b3e6532f1a566ec34429962007479ec3b934", + "gate_status": "PASS", + "metrics": { + "completed_steps": 4834.0, + "mass_apple": 0.1943359375, + "mass_berry": 0.19140625, + "mass_grape": 0.205078125, + "mass_lemon": 0.193359375, + "mass_melon": 0.2158203125, + "mass_tv": 0.020898437500000006, + "minimum_reconstruction_token_probability": 0.9999691247940063, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 6.369805780275262e-06, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 4834 + }, + "raw_status": "completed", + "reason": "every joint generation/inverse check throughout the fixed continuation window", + "reasons": [ + "every joint generation/inverse check throughout the fixed continuation window" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_hold" + }, + { + "api_version": "forge-api-v1", + "attempt_id": "eeb75c0be0414f6dbc95226a0fdcc2bf", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "718e67ccdfc6266c3cadf075a8cf19b138b8054bf7de16bc965eeedae034295b", + "cost": { + "adapter_loop_seconds": 115.73657355899923, + "adapter_seconds": 115.95304718799889, + "charged_task": "five_word_joint_smoke", + "completed_steps": 20001, + "device": "1", + "execution_seconds": 122.67951805301709, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 20001, + "optimizer_updates": { + "discriminator": 20001, + "encoder": 20001, + "generator": 20001, + "prior": 20001 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 109.53118483274011, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 24, + "seconds": 0.5934624079964124 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 20001, + "seconds": 108.9377224247437 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 117.13628943200456, + "wall_seconds": 122.67951805301709 + }, + "evaluator_summary": { + "confirmed_checks": 24, + "endpoint_passed": true, + "first_confirmed_step": 834, + "observations": 24, + "passing_observations": 24 + }, + "execution_path": "public_components", + "final_metrics_sha256": "7deda66da9a707f2fd20ae62e89375ae613d8c25e8962f129967b282d8d2899c", + "gate_status": "PASS", + "metrics": { + "completed_steps": 20001.0, + "mass_apple": 0.1982421875, + "mass_berry": 0.2109375, + "mass_grape": 0.1953125, + "mass_lemon": 0.2080078125, + "mass_melon": 0.1875, + "mass_tv": 0.018945312500000006, + "minimum_reconstruction_token_probability": 0.9999932050704956, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 1.6570121163870048e-06, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 20001 + }, + "raw_status": "completed", + "reason": "any scheduled full joint pass plus independent same-state confirmation", + "reasons": [ + "any scheduled full joint pass plus independent same-state confirmation" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_smoke" + } + ] +} diff --git a/reports/forge/records/readout-1858b3294015f9149e7fcb9d.json b/reports/forge/records/readout-1858b3294015f9149e7fcb9d.json new file mode 100644 index 000000000..97bc192a5 --- /dev/null +++ b/reports/forge/records/readout-1858b3294015f9149e7fcb9d.json @@ -0,0 +1,300 @@ +{ + "attempt_ids": [ + "87717e5cd41745a0a3462c3fb1605f75" + ], + "candidate_id": "bispf-optimized-quintic-v1", + "candidate_revision": "a2bdf3d01a3c507b273d49bdefa1bf0707963aed72d1ed10fcca32bf82e4cf6d", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Matched initial model hashes and observed-batch digest across selectedBISPF baseline, observed-only maskedlikelihood, and synthetic neural-amortization recipe. All retain BISPF core and fail unconditional mass; synthetic classification alone is not demonstrated superior.", + "conclusion": "Full scoped four-mode run completed1200updates/24checks and FAILed all5terminal complete gates. Endpoint generatorHQ=0.996582, massTV=0.244141, ambiguousHQ=0.993164, branchTV=0.044678. Preserve every terminal failed bound; no ordinary or historical100-mode pass credit.", + "decision_outcomes": [ + { + "attempt_ids": [ + "87717e5cd41745a0a3462c3fb1605f75" + ], + "binding_errors": [], + "causal_judgment": "requires_review", + "contract_sha256": "cf139607bb1d666e694b282fa34df41acbee461b7c8e3694139b93a039b65804", + "duplicate_task_ids": [], + "execution_authorized": false, + "max_rounds": 1, + "next_action": "review_saved_diagnostics", + "observed": { + "falsifier": { + "satisfied": false, + "value": 0.9931640625 + }, + "prediction": { + "satisfied": true, + "value": 0.9931640625 + } + }, + "outcome": "prediction_observed", + "provenance": [ + { + "attempt_id": "87717e5cd41745a0a3462c3fb1605f75", + "producer_request_id": "461b9a18118c36e0daef29ec", + "producer_study_id": "misgan-bispf-baseline-r1-snapshot", + "result_hash": "1d317981ef9ba3b28585353f23ff5506f9fe540c26fac7276eb7039882161f1a", + "valid_receipt": true + } + ], + "qualification_input": false, + "reuse_note": "Compatible original receipts; overlapping readouts are not independent runs or additive costs", + "schema_version": 1, + "study_binding": { + "binding_sha256": "4fcb74663dad297eb873f3b2b9beed2befb4cc3db6b2d0c4ab87bac25df3b40c", + "contract_sha256": "cf139607bb1d666e694b282fa34df41acbee461b7c8e3694139b93a039b65804", + "control_binding_sha256": "fe1a97a03befa0f1379ea295d87fae4a24eb9cb980ab7cc990b7c47f925ebf25", + "policy_fingerprint": "efe4123b5e81d6aed15622205f4b44ab59bedc97599cef0d277ebcffef2ebeba", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "33278ddc17f993383072390c7f5ac65747ce16a754a2880d70c33467bc9484fd" + }, + "study_id": "misgan-bispf-baseline-r1-snapshot", + "study_sha256": "33278ddc17f993383072390c7f5ac65747ce16a754a2880d70c33467bc9484fd" + } + ], + "eligible": false, + "evidence_scope": "research_diagnostic", + "goal": "misgan-bispf-research-v1", + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "lifecycle": "concluded", + "mechanism_class": "structural", + "next_action": "Stop this exact revision. The sole bounded composite masked-quantile transport plus cosine-settling followup changes the failed mass/settling mechanisms while keeping the frozen task, initializer, prior, sampling and1200update protocol.", + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "provenance": { + "attempts": [ + { + "attempt_id": "87717e5cd41745a0a3462c3fb1605f75", + "result_hash": "1d317981ef9ba3b28585353f23ff5506f9fe540c26fac7276eb7039882161f1a", + "valid_receipt": true + } + ] + }, + "qualification_input": false, + "qualification_reuse": false, + "qualified_tier": 0, + "record_id": "readout-1858b3294015f9149e7fcb9d", + "record_type": "scientific", + "schema_version": 1, + "source": { + "path": "reports/forge/attempts/87717e5cd41745a0a3462c3fb1605f75/result.json" + }, + "study": { + "campaign": { + "budget_seconds": 5430, + "candidate_budget_seconds": 1810, + "id": "misgan-bispf-snapshot-repair-r1" + }, + "candidate": "bispf-optimized-quintic-v1", + "competing_explanation": "The finite uniform mixture, constant normalized steps, or changing generative teacher may prevent sharp recovery or calibrated posterior branches despite observed-data likelihood and synthetic classification.", + "control": { + "candidate_id": "ka2", + "task_map": {} + }, + "falsifier": { + "metric": "ambiguous_hq", + "op": "<", + "phase": "final", + "task_id": "model_misgan_four_mode", + "threshold": 0.9 + }, + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "id": "misgan-bispf-baseline-r1-snapshot", + "max_rounds": 1, + "prediction": { + "metric": "ambiguous_hq", + "op": ">=", + "phase": "final", + "task_id": "model_misgan_four_mode", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "schema": "misgan_bispf_proposal_v1" + }, + "path": "reports/forge/misgan-bispf/proposal.json", + "selector": [], + "use": "motivation_only" + } 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0.9, + "value": 1.0 + }, + "ambiguous_std_ratio": { + "margin": 0.3148217678070069, + "metric": "ambiguous_std_ratio", + "op": "<=", + "status": "PASS", + "threshold": 1.3, + "value": 0.9851782321929932 + }, + "hq": { + "margin": 0.09658203124999998, + "metric": "hq", + "op": ">=", + "status": "PASS", + "threshold": 0.9, + "value": 0.99658203125 + }, + "imputer_accuracy": { + "margin": 0.03387695312500005, + "metric": "imputer_accuracy", + "op": ">=", + "status": "PASS", + "threshold": 0.94, + "value": 0.973876953125 + }, + "imputer_observed_error": { + "margin": 1e-06, + "metric": "imputer_observed_error", + "op": "<=", + "status": "PASS", + "threshold": 1e-06, + "value": 0.0 + }, + "mask_tv": { + "margin": 0.0287597693502903, + "metric": "mask_tv", + "op": "<=", + "status": "PASS", + "threshold": 0.05, + "value": 0.0212402306497097 + }, + "mass_tv": { + "margin": -0.144140625, + "metric": "mass_tv", + "op": "<=", + "status": "FAIL", + "threshold": 0.1, + "value": 0.244140625 + }, + "modes": { + "margin": 0, + "metric": "modes", + "op": ">=", + "status": "PASS", + "threshold": 4, + "value": 4 + }, + "off_plane": { + "margin": 0.024893621876835824, + "metric": "off_plane", + "op": "<=", + "status": "PASS", + "threshold": 0.04, + "value": 0.015106378123164177 + } + }, + "passed": false, + "shortfall": 0.12011718749999999, + "status": "FAIL" + }, + "gate_status": "FAIL", + "metrics": { + "ambiguous_hq": 0.9931640625, + "ambiguous_mass_tv": 0.044677734375, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9851782321929932, + "hq": 0.99658203125, + "imputer_accuracy": 0.973876953125, + "imputer_observed_error": 0.0, + "mask_tv": 0.0212402306497097, + "mass_tv": 0.244140625, + "modes": 4, + "off_plane": 0.015106378123164177, + "step": 1200 + }, + "raw_status": "completed", + "reason": "recomputed complete live curve and terminal suffix", + "task_id": "model_misgan_four_mode" + } + ] +} diff --git a/reports/forge/records/readout-2b96c09667e7a4aef944ce96.json b/reports/forge/records/readout-2b96c09667e7a4aef944ce96.json new file mode 100644 index 000000000..84b7ab8ac --- /dev/null +++ b/reports/forge/records/readout-2b96c09667e7a4aef944ce96.json @@ -0,0 +1,392 @@ +{ + "attempt_ids": [ + "81025f9964384002bc6b8fa358067b52", + "fd336640b9504d7091d5b3916e2c6ed5" + ], + "candidate_id": "r1r2-repair-control-20261022", + "candidate_revision": "3cca6de5d931b16469b0ef0fedbc0b5cb21f55b8af202a7868e94277fcef2037", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Exact b33e375 source, own acquired checkpoint bytes/state/key/revision and named consumed streams verified. Diagnostic and ordinary acquisitions have distinct evidence-use keys and paid attempts. Control/composed prefix834 and R1-only1667 imply different hold data windows by the unchanged task contract; compare original task outcomes, not a fixed-window causal hold effect.", + "conclusion": "Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update834, endpoint minimum token probability0.9979230761528015. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates.", + "decision_outcomes": [ + { + "attempt_ids": [ + "81025f9964384002bc6b8fa358067b52", + "fd336640b9504d7091d5b3916e2c6ed5" + ], + "binding_errors": [], + "causal_judgment": "requires_review", + "contract_sha256": "0daddb7543b6267fb0c7ef8ccf535bd406f362700406c9bf18e84fc8c0acf624", + "duplicate_task_ids": [], + "execution_authorized": false, + "max_rounds": 1, + "next_action": "review_saved_diagnostics", + "observed": { + "falsifier": { + "satisfied": false, + "value": 0.9979230761528015 + }, + "prediction": { + "satisfied": true, + "value": 0.9979230761528015 + } + }, + "outcome": "prediction_observed", + "provenance": [ + { + "attempt_id": "81025f9964384002bc6b8fa358067b52", + "producer_request_id": "a8011f78437e097a9c73745f", + "producer_study_id": "r1r2-repair-control-20261022-word-retention", + "result_hash": "17054c3fd8536e2985f0f74ef04b802b3ff3f09515e5f6e2fcf7450b7fd2a305", + "valid_receipt": true + }, + { + "attempt_id": "fd336640b9504d7091d5b3916e2c6ed5", + "producer_request_id": "a8011f78437e097a9c73745f", + "producer_study_id": "r1r2-repair-control-20261022-word-retention", + "result_hash": "9958573d25fec9b4b106d6d2748834e1f7bd097fa989f28575cdf0e4af668b73", + "valid_receipt": true + } + ], + "qualification_input": false, + "reuse_note": "Compatible original receipts; overlapping readouts are not independent runs or additive costs", + "schema_version": 1, + "study_binding": { + "binding_sha256": "41377f948c153811712823075bd0fadc5d388cadbe7ebd9f2dfc1f39c1eb266a", + "contract_sha256": "0daddb7543b6267fb0c7ef8ccf535bd406f362700406c9bf18e84fc8c0acf624", + "control_binding_sha256": "8a377e4cb5e34b4869daa5fe2e02c43e56186a289805b14726e056f93ec2d183", + "policy_fingerprint": "4228e8b82467f10ffc98298e28e2df9ce013e1f4c7ada30af9e740f842f975e0", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "846e69a77a7efa6db59719d3542ca83afa50fe5e04c32605ee56d6c857bad725" + }, + "study_id": "r1r2-repair-control-20261022-word-retention", + "study_sha256": "846e69a77a7efa6db59719d3542ca83afa50fe5e04c32605ee56d6c857bad725" + } + ], + "eligible": false, + "evidence_scope": "research_diagnostic", + "full_readout_archive": { + "bytes": 14363, + "ever_committed": false, + "git_blob_oid": "eee94388352a10fe87c7198f03dcf72a2d86cc97", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/archive/readouts/readout-2b96c09667e7a4aef944ce96.json", + "sha256": "193df375556a3f523d44e7e254a260347645681a3000595e773b215561790ce8" + }, + "full_readout_sha256": "193df375556a3f523d44e7e254a260347645681a3000595e773b215561790ce8", + "goal": "r1r2-repair-word-retention-20261022", + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "lifecycle": "concluded", + "mechanism_class": "structural", + "next_action": "Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate.", + "original_source": { + "path": "reports/forge/attempts/81025f9964384002bc6b8fa358067b52/result.json" + }, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "provenance": { + "attempts": [ + { + "attempt_id": "81025f9964384002bc6b8fa358067b52", + "result_hash": "17054c3fd8536e2985f0f74ef04b802b3ff3f09515e5f6e2fcf7450b7fd2a305", + "valid_receipt": true + }, + { + "attempt_id": "fd336640b9504d7091d5b3916e2c6ed5", + "result_hash": "9958573d25fec9b4b106d6d2748834e1f7bd097fa989f28575cdf0e4af668b73", + "valid_receipt": true + } + ] + }, + "qualification_input": false, + "qualification_reuse": false, + "qualified_tier": 0, + "record_id": "readout-2b96c09667e7a4aef944ce96", + "record_type": "scientific", + "schema_version": 1, + "source": { + "path": "reports/forge/r1r2-repair-20261022/README.md" + }, + "study": { + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-control-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. Retention is falsified by any original primary or independent confirmation failure among the restored-state+24 scheduled checks, including generation, diversity or inverse bounds; a passing endpoint scalar is insufficient. Use only the earliest confirmed same-candidate/source parent with exact model/optimizer/prior/RNG restoration, or report BLOCKED. No resampling, changed cohort, scientific retry, altered gate or promotion of failed ordinary13-task outcomes. Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "recipe-prior-refactor-r1r2-v1", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-control-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } + }, + "study_id": "r1r2-repair-control-20261022-word-retention", + "study_sha256": "846e69a77a7efa6db59719d3542ca83afa50fe5e04c32605ee56d6c857bad725", + "summary_curation": "Certified final metrics, verdicts, decision outcomes and original receipt identities retained. Full per-update evidence is archived byte-exactly outside Git. This display summary supplies no qualification replacement.", + "task_results": [ + { + "api_version": "forge-api-v1", + "attempt_id": "fd336640b9504d7091d5b3916e2c6ed5", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "4fc5baf3aeffc381ee2742e2085a2abca4b687cf3b2824fbce25d985ceafdc47", + "cost": { + "adapter_loop_seconds": 27.00763194699539, + "adapter_seconds": 27.42788951797411, + "charged_task": "five_word_joint_hold", + "completed_steps": 4834, + "device": "0", + "execution_seconds": 33.11060657503549, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 4000, + "optimizer_updates": { + "discriminator": 4834, + "encoder": 4834, + "generator": 4834, + "prior": 4834 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 25.18003632547334, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 25, + "seconds": 0.7163295430364087 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 4000, + "seconds": 24.46370678243693 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 28.559852798993234, + "wall_seconds": 33.11060657503549 + }, + "evaluator_summary": { + "confirmed_checks": 25, + "endpoint_passed": true, + "first_confirmed_step": 834, + "observations": 25, + "passing_observations": 25 + }, + "execution_path": "public_components", + "final_metrics_sha256": "b1dfeb1612f5f990289eaa715d86050add636411da6fc738ede78469391f0277", + "gate_status": "PASS", + "metrics": { + "completed_steps": 4834.0, + "mass_apple": 0.205078125, + "mass_berry": 0.193359375, + "mass_grape": 0.19140625, + "mass_lemon": 0.2158203125, + "mass_melon": 0.1943359375, + "mass_tv": 0.020898437500000006, + "minimum_reconstruction_token_probability": 0.9979230761528015, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 0.0005778634562402833, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 4834 + }, + "raw_status": "completed", + "reason": "every joint generation/inverse check throughout the fixed continuation window", + "reasons": [ + "every joint generation/inverse check throughout the fixed continuation window" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_hold" + }, + { + "api_version": "forge-api-v1", + "attempt_id": "81025f9964384002bc6b8fa358067b52", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "05226e6e4c431d45df53fa9ac0fa495f3f89c2854a6516822da2617bfda01303", + "cost": { + "adapter_loop_seconds": 119.72071113897255, + "adapter_seconds": 119.91211931197904, + "charged_task": "five_word_joint_smoke", + "completed_steps": 20001, + "device": "0", + "execution_seconds": 125.57905428798404, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 20001, + "optimizer_updates": { + "discriminator": 20001, + "encoder": 20001, + "generator": 20001, + "prior": 20001 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 114.52140846889233, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 24, + "seconds": 0.5988922719843686 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 20001, + "seconds": 113.92251619690796 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 120.99690359999659, + "wall_seconds": 125.57905428798404 + }, + "evaluator_summary": { + "confirmed_checks": 24, + "endpoint_passed": true, + "first_confirmed_step": 834, + "observations": 24, + "passing_observations": 24 + }, + "execution_path": "public_components", + "final_metrics_sha256": "7880db8e346440e1c40c6a1ebbca7cea02a52051482d37fbb7810228e9e85245", + "gate_status": "PASS", + "metrics": { + "completed_steps": 20001.0, + "mass_apple": 0.1953125, + "mass_berry": 0.2080078125, + "mass_grape": 0.2109375, + "mass_lemon": 0.1875, + "mass_melon": 0.1982421875, + "mass_tv": 0.018945312500000006, + "minimum_reconstruction_token_probability": 0.9990850687026978, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 0.00025410099684670896, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 20001 + }, + "raw_status": "completed", + "reason": "any scheduled full joint pass plus independent same-state confirmation", + "reasons": [ + "any scheduled full joint pass plus independent same-state confirmation" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_smoke" + } + ] +} diff --git a/reports/forge/records/readout-39165e761d4e5ea74a5a67d1.json b/reports/forge/records/readout-39165e761d4e5ea74a5a67d1.json new file mode 100644 index 000000000..975b12c88 --- /dev/null +++ b/reports/forge/records/readout-39165e761d4e5ea74a5a67d1.json @@ -0,0 +1,2725 @@ +{ + "attempt_ids": [ + "082c623d1b614165a5e44140f0278571", + "13aedf57215843b8aa505ed2eb99670b", + "335b666c2ef0467ab37604a58554b8cb", + "3cd18b8923704c20be666cb642cf8a4d", + "42a3662accce4df9b6d3f9d5e9499f3d", + "516661a02d224ab4b91b3589a04b362b", + "5c83d92f7dde40f282974e0a25c8eeda", + "8d1249e5d32f40e3a80230ead92fdfec", + "9e6723c4efdf4ab49da3b081eb8fcb6e", + "ac5163f0c4f449508d8e1bd3924e2bc9", + "cb7df58676c6444c9ef5c0a74000985d", + "cf2557bafc6a47ec8ee29b9816c9b3e7", + "de46f6dc4edc4844b0f28bd3f037ea6b", + "f06625be54714f6b981dcf2b9c662503" + ], + "candidate_id": "r1r2-repair-r1cycle-20261022", + "candidate_revision": "de3afa5bb4c97c9e51a2ef66817108ca2372525aebff8200537f9df9d3328421", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Matched frozen source b33e375, public deterministic initializer, seed0, global fixed NS/AMSGrad settings, unchanged task priors/data/budget/cadence/clean live sampling; original interrupted-source results remain separate. 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b/reports/forge/records/readout-4a3861ac6f4b3a836975d087.json @@ -0,0 +1,494 @@ +{ + "attempt_ids": [ + "2c33e91963ad464f990c4ae04f365e48", + "c8e35c60cb3c4957bad3e692f469541c" + ], + "candidate_id": "bispf-vaegan-settle-v1", + "candidate_revision": "15cec064bfab5931854da2b176eb21f34230e1508407767ad76ab3f2fc721660", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Matched baseline and transport-only both fail sustained gates. 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Bimodal marginalCDF0.04355/mean0.01462 and worst conditionalCDF0.10237 improve, but HQ0.94531, local covarianceMax1.69820 and conditional covariance/mean bounds fail. Zero of final5 observations passes all bounds for either task.", + "conclusion": "Both complete DDGAN tasks FAIL after the final registered one-field repair. 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complete live curve and terminal suffix", + "task_id": "model_vae_hard" + } + ] +} diff --git a/reports/forge/records/readout-b389e250ac5b3ad0763d2c82.json b/reports/forge/records/readout-b389e250ac5b3ad0763d2c82.json index 0c02034ef..e8012cd91 100644 --- a/reports/forge/records/readout-b389e250ac5b3ad0763d2c82.json +++ b/reports/forge/records/readout-b389e250ac5b3ad0763d2c82.json @@ -16,7 +16,7 @@ "fcf270c33afb4488a1441ddabde10d85" ], "candidate_id": "atlas-particle-normal-v4", - "candidate_revision": "067f29bc52d5b02a768f6cc3063bb66784030104abcb66f7891d6b31491b8f92", + "candidate_revision": "3e568ed2213479cc8bbd8844796ab6f0ca4c804fa846e627563b06f556001089", "claim_contract": { "sampling_law": "task_declared", "schedule": "schedule_free", @@ -276,7 +276,7 @@ "record_type": "scientific", "schema_version": 1, "source": { - "digest": "0a1dcd6192a8f524eb19bc2d77bd35dcfecfd62d401833c1a1bea251dbd1e002", + "digest": "9cc0515fd4e7b966f3ecac95b78445e588f354a7659b885259f0bc8ab7ce48fc", "files": 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@@ "schedule": "schedule_free", "scoring_weights": "live" }, - "compatibility_key": "8363ed827542ea8386bc5e1406afc788db722942b76fb01a4603f5cede7f5a28", + "compatibility_key": "17fa62350527384e868483bc31e773cc79a3b9d278e9b6b23f4bdc9603fb66f3", "cost": { "adapter_loop_seconds": 20.494466028001625, "adapter_seconds": 20.826512122992426, @@ -16556,7 +16558,7 @@ "schedule": "schedule_free", "scoring_weights": "live" }, - "compatibility_key": "db34b3d95bb9b386e7676f92eecc8d0e7af738e8537cf26649ebe46c42435ca1", + "compatibility_key": "dd1c016f43ec0052ed269422635dc41438b2680d29f785516cf4cd2a78b43620", "cost": { "adapter_reported_inclusive_seconds": 1.8441302859864663, "adapter_seconds": 1.8530323980085086, @@ -18598,7 +18600,7 @@ "schedule": "schedule_free", "scoring_weights": "live" }, - "compatibility_key": "1d7af4a78dc76c5f5deecc49ef9acf96b637b75dd4e1f801195d30f8e377830e", + "compatibility_key": "bb58413e3da422934cd273d4d4bf0f231104963f8eb5c822ed61f9a0245f1be1", "cost": { "adapter_seconds": 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"b7a25db9c16aab49d97c4642ed1bd86532c2102024f082e9758cf807a3f4cec8", "gate_status": "PASS", "status": "PASS", "task_id": "mode_hold" }, { "_attempt_id": "0e91e77f8f4b4170b955eea7d911bfe5", - "compatibility_key": "60fdcf06ba82ef11104cd267e947afd45846db754aba9c2ea6bfb522094f050b", + "compatibility_key": "01670c4ed3eb5ce42240e790793b06d0ab4563c58c7b64eb27317b97220668b3", "gate_status": "PASS", "status": "PASS", "task_id": "five_word_joint_hold" diff --git a/reports/forge/records/readout-c21940571fd7349e5f2a9c1b.json b/reports/forge/records/readout-c21940571fd7349e5f2a9c1b.json new file mode 100644 index 000000000..e7351578e --- /dev/null +++ b/reports/forge/records/readout-c21940571fd7349e5f2a9c1b.json @@ -0,0 +1,300 @@ +{ + "attempt_ids": [ + "4727aead52a04e3285769fe0663b6844" + ], + "candidate_id": "bispf-misgan-amortized-v1", + "candidate_revision": "43489bc17bc07057ac6f5b53d3368f30827498bd4b1415badfcbff0202fc519e", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Matched initial model hashes and observed-batch digest across selectedBISPF baseline, observed-only maskedlikelihood, and synthetic neural-amortization recipe. All retain BISPF core and fail unconditional mass; synthetic classification alone is not demonstrated superior.", + "conclusion": "Full scoped four-mode run completed1200updates/24checks and FAILed all5terminal complete gates. Endpoint generatorHQ=0.994629, massTV=0.169678, ambiguousHQ=0.982666, branchTV=0.143311. Preserve every terminal failed bound; no ordinary or historical100-mode pass credit.", + "decision_outcomes": [ + { + "attempt_ids": [ + "4727aead52a04e3285769fe0663b6844" + ], + "binding_errors": [], + "causal_judgment": "requires_review", + "contract_sha256": "5b793d6d564cf7da46dc492657943011a871acc93b2974a1111f69d71c66ad7c", + "duplicate_task_ids": [], + "execution_authorized": false, + "max_rounds": 1, + "next_action": "review_saved_diagnostics", + "observed": { + "falsifier": { + "satisfied": false, + "value": 0.982666015625 + }, + "prediction": { + "satisfied": true, + "value": 0.982666015625 + } + }, + "outcome": "prediction_observed", + "provenance": [ + { + "attempt_id": "4727aead52a04e3285769fe0663b6844", + "producer_request_id": "af5edb96385efc4a42ab8231", + "producer_study_id": "misgan-bispf-amortized-r1-snapshot", + "result_hash": "9482ee9fa6cf3fb81f42b4f9b1b952a1f608897549e6213577b31070b4aaaad1", + "valid_receipt": true + } + ], + "qualification_input": false, + "reuse_note": "Compatible original receipts; overlapping readouts are not independent runs or additive costs", + "schema_version": 1, + "study_binding": { + "binding_sha256": "9475eb866f6618a3521a8bb977963fcbdbf9d5c95d6086e9a536b0eccb999109", + "contract_sha256": "5b793d6d564cf7da46dc492657943011a871acc93b2974a1111f69d71c66ad7c", + "control_binding_sha256": "4fcb74663dad297eb873f3b2b9beed2befb4cc3db6b2d0c4ab87bac25df3b40c", + "policy_fingerprint": "efe4123b5e81d6aed15622205f4b44ab59bedc97599cef0d277ebcffef2ebeba", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "73e35f154238aa43fbff82b5dcb16cdd72c6e1fccf75b3f7f9555f097b303a5b" + }, + "study_id": "misgan-bispf-amortized-r1-snapshot", + "study_sha256": "73e35f154238aa43fbff82b5dcb16cdd72c6e1fccf75b3f7f9555f097b303a5b" + } + ], + "eligible": false, + "evidence_scope": "research_diagnostic", + "goal": "misgan-bispf-research-v1", + "hypothesis": "Retain BISPF core and distinguish incomplete-data recovery from learned multimodal conditional amortization with the frozen scorer and controls.", + "lifecycle": "concluded", + "mechanism_class": "structural", + "next_action": "Stop this exact revision. The sole bounded composite masked-quantile transport plus cosine-settling followup changes the failed mass/settling mechanisms while keeping the frozen task, initializer, prior, sampling and1200update protocol.", + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "provenance": { + "attempts": [ + { + "attempt_id": "4727aead52a04e3285769fe0663b6844", + "result_hash": "9482ee9fa6cf3fb81f42b4f9b1b952a1f608897549e6213577b31070b4aaaad1", + "valid_receipt": true + } + ] + }, + "qualification_input": false, + "qualification_reuse": false, + "qualified_tier": 0, + "record_id": "readout-c21940571fd7349e5f2a9c1b", + "record_type": "scientific", + "schema_version": 1, + "source": { + "path": "reports/forge/attempts/4727aead52a04e3285769fe0663b6844/result.json" + }, + "study": { + "campaign": { + "budget_seconds": 5430, + "candidate_budget_seconds": 1810, + "id": "misgan-bispf-snapshot-repair-r1" + }, + "candidate": "bispf-misgan-amortized-v1", + 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terminal suffix", + "task_id": "ddgan_repair_gaussian_chain_v1" + } + ] +} diff --git a/reports/forge/records/readout-e610d5af4bac226eabe47dcb.json b/reports/forge/records/readout-e610d5af4bac226eabe47dcb.json new file mode 100644 index 000000000..f25b3adbe --- /dev/null +++ b/reports/forge/records/readout-e610d5af4bac226eabe47dcb.json @@ -0,0 +1,392 @@ +{ + "attempt_ids": [ + "51d72e84d719443e8de01c522815b0d8", + "f45e68ade4c7445f8de8610425231c45" + ], + "candidate_id": "r1r2-repair-r1only-20261022", + "candidate_revision": "704c803e0c8bf425e1c0cd673b77e0332278cd8163ca9058a95c50a2f00fbdab", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "comparison": "Exact b33e375 source, own acquired checkpoint bytes/state/key/revision and named consumed streams verified. Diagnostic and ordinary acquisitions have distinct evidence-use keys and paid attempts. Control/composed prefix834 and R1-only1667 imply different hold data windows by the unchanged task contract; compare original task outcomes, not a fixed-window causal hold effect.", + "conclusion": "Own-checkpoint acquisition and full4000-update hold PASS: all25 scheduled/restored-state checks confirmed, parent update1667, endpoint minimum token probability0.9974690675735474. No ordinary qualification credit. The NS/AMSGrad reference already passes retention; explicit reconstruction improves confidence margin but is not necessary for these gates.", + "decision_outcomes": [ + { + "attempt_ids": [ + "51d72e84d719443e8de01c522815b0d8", + "f45e68ade4c7445f8de8610425231c45" + ], + "binding_errors": [], + "causal_judgment": "requires_review", + "contract_sha256": "7ed7803cf15cce8d91dde7913e44b3cad8d9f4f29370b22d10db4c678166eb96", + "duplicate_task_ids": [], + "execution_authorized": false, + "max_rounds": 1, + "next_action": "review_saved_diagnostics", + "observed": { + "falsifier": { + "satisfied": false, + "value": 0.9974690675735474 + }, + "prediction": { + "satisfied": true, + "value": 0.9974690675735474 + } + }, + "outcome": "prediction_observed", + "provenance": [ + { + "attempt_id": "51d72e84d719443e8de01c522815b0d8", + "producer_request_id": "025931f664147b4b2fdf2812", + "producer_study_id": "r1r2-repair-r1only-20261022-word-retention", + "result_hash": "cf04085dcd8aeac25ab32df3bb73e5f1351f7ab9ed75716c2512c27581ae871f", + "valid_receipt": true + }, + { + "attempt_id": "f45e68ade4c7445f8de8610425231c45", + "producer_request_id": "025931f664147b4b2fdf2812", + "producer_study_id": "r1r2-repair-r1only-20261022-word-retention", + "result_hash": "3283a5c05f74704aa089d6ac66dac4c6647b630247b47f70a4736506a090d745", + "valid_receipt": true + } + ], + "qualification_input": false, + "reuse_note": "Compatible original receipts; overlapping readouts are not independent runs or additive costs", + "schema_version": 1, + "study_binding": { + "binding_sha256": "479312331811ee6c02f1cfe195d5012b0afc54b408bf8aa1ef90871965622e4d", + "contract_sha256": "7ed7803cf15cce8d91dde7913e44b3cad8d9f4f29370b22d10db4c678166eb96", + "control_binding_sha256": "41377f948c153811712823075bd0fadc5d388cadbe7ebd9f2dfc1f39c1eb266a", + "policy_fingerprint": "4228e8b82467f10ffc98298e28e2df9ce013e1f4c7ada30af9e740f842f975e0", + "protocol_sha256": "7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2", + "study_sha256": "76c9d495bd619e7258b90bdc6257bfeafc9b63c8e7003b17b8bb54b25d112674" + }, + "study_id": "r1r2-repair-r1only-20261022-word-retention", + "study_sha256": "76c9d495bd619e7258b90bdc6257bfeafc9b63c8e7003b17b8bb54b25d112674" + } + ], + "eligible": false, + "evidence_scope": "research_diagnostic", + "full_readout_archive": { + "bytes": 14359, + "ever_committed": false, + "git_blob_oid": "3be594be38b018a7894a95d2d68f1d01555c911d", + "path": "/mnt/ml7tb/ParticleGAN-forge/r1r2-repair-20261022/archive/readouts/readout-e610d5af4bac226eabe47dcb.json", + "sha256": "f1ffe9508cf39cb2bbebcafb1de2c94b9257ff3c97c32559ce1513c47edac7ff" + }, + "full_readout_sha256": "f1ffe9508cf39cb2bbebcafb1de2c94b9257ff3c97c32559ce1513c47edac7ff", + "goal": "r1r2-repair-word-retention-20261022", + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "lifecycle": "concluded", + "mechanism_class": "structural", + "next_action": "Close the finite three-role campaign. Keep R2; do not promote the failed global repairs. Preserve all ordinary failures and archived source identities. Require a demonstrated density or conditional-field prerequisite before another candidate.", + "original_source": { + "path": "reports/forge/attempts/51d72e84d719443e8de01c522815b0d8/result.json" + }, + "prior": { + "kind": "mog", + "learnable": true, + "sigma": 0.025, + "standardize": false + }, + "provenance": { + "attempts": [ + { + "attempt_id": "51d72e84d719443e8de01c522815b0d8", + "result_hash": "cf04085dcd8aeac25ab32df3bb73e5f1351f7ab9ed75716c2512c27581ae871f", + "valid_receipt": true + }, + { + "attempt_id": "f45e68ade4c7445f8de8610425231c45", + "result_hash": "3283a5c05f74704aa089d6ac66dac4c6647b630247b47f70a4736506a090d745", + "valid_receipt": true + } + ] + }, + "qualification_input": false, + "qualification_reuse": false, + "qualified_tier": 0, + "record_id": "readout-e610d5af4bac226eabe47dcb", + "record_type": "scientific", + "schema_version": 1, + "source": { + "path": "reports/forge/r1r2-repair-20261022/README.md" + }, + "study": { + "campaign": { + "budget_seconds": 24000, + "candidate_budget_seconds": 5220, + "id": "r1r2-repair-20261022" + }, + "candidate": "r1r2-repair-r1only-20261022", + "competing_explanation": "Acquisition can pass and later collapse despite nonzero aggregate gradients. Retention is falsified by any original primary or independent confirmation failure among the restored-state+24 scheduled checks, including generation, diversity or inverse bounds; a passing endpoint scalar is insufficient. Use only the earliest confirmed same-candidate/source parent with exact model/optimizer/prior/RNG restoration, or report BLOCKED. No resampling, changed cohort, scientific retry, altered gate or promotion of failed ordinary13-task outcomes. Full reservation1200seconds/role includes900 exact-source acquisition and300 hold; expected shared acquisition reuse leaves only300 additional physical allowance perrole, but no reuse is presumed by admission.", + "control": { + "candidate_id": "r1r2-repair-control-20261022", + "task_map": {} + }, + "falsifier": { + "metric": "minimum_reconstruction_token_probability", + "op": "<", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "hypothesis": "This exact source-bound global recipe can retain its own earliest independently confirmed word acquisition through every original scheduled primary and independent confirmation check, including the exact restored state, for4000 further updates. The original word_hold evaluator and all25 paired checks are authoritative; endpoint token probability alone cannot establish retention. This diagnostic changes scheduler placement only and grants no ordinary qualification.", + "id": "r1r2-repair-r1only-20261022-word-retention", + "max_rounds": 1, + "prediction": { + "metric": "minimum_reconstruction_token_probability", + "op": ">=", + "phase": "final", + "task_id": "five_word_joint_hold", + "threshold": 0.9 + }, + "prior_evidence": [ + { + "identity": { + "archive_commit": "2cf7b0a4c796e29ace6cca12d2e553ad67211b5c", + "original_candidate": "r1r2-non-saturating-ams-m110-v1" + }, + "path": "reports/forge/r1r2-repair-20261022/reference-origin.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "qualification_input": false, + "scope": "saved_endpoint_force_conditioning_diagnostic" + }, + "path": "reports/forge/r1r2-failure-diagnosis-20261022/saved-force-diagnosis.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "campaign_id": "r1r2-repair-20261022", + "scope": "interrupted_original_source_infrastructure_evidence", + "unique_paid_attempts": 18 + }, + "path": "reports/forge/r1r2-repair-20261022/v1-infrastructure-interruption.json", + "selector": [], + "use": "motivation_only" + }, + { + "identity": { + "integration_status": "PASS", + "scope": "isolated_frozen_source_integration_only", + "source_digest": "b33e375de0a1e9cf754f4d0fa24e0fd216db4fec86b1b549ccb5ea2bb0e4f175" + }, + "path": "reports/forge/r1r2-repair-20261022/infra-v2-snapshot-smoke.json", + "selector": [], + "use": "motivation_only" + } + ], + "schema_version": 1, + "scope": { + "cuda_model": "NVIDIA RTX A6000", + "execution_backend": "cuda", + "through_tier": 1, + "view": "r1r2-repair-word-retention-20261022" + }, + "status": "ready", + "terminal_rules": { + "falsified": "stop_revision", + "incomplete": "request_missing_evidence", + "inconclusive": "stop_and_readout", + "prediction_observed": "review_saved_diagnostics" + } + }, + "study_id": "r1r2-repair-r1only-20261022-word-retention", + "study_sha256": "76c9d495bd619e7258b90bdc6257bfeafc9b63c8e7003b17b8bb54b25d112674", + "summary_curation": "Certified final metrics, verdicts, decision outcomes and original receipt identities retained. Full per-update evidence is archived byte-exactly outside Git. This display summary supplies no qualification replacement.", + "task_results": [ + { + "api_version": "forge-api-v1", + "attempt_id": "f45e68ade4c7445f8de8610425231c45", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "afb8de0c83a24fb35c0ab1f0a71b6717ffd9bc14ae36a6d38d8f66be9a82abb6", + "cost": { + "adapter_loop_seconds": 23.738779822015204, + "adapter_seconds": 24.17881855298765, + "charged_task": "five_word_joint_hold", + "completed_steps": 5667, + "device": "1", + "execution_seconds": 30.06450145400595, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 4000, + "optimizer_updates": { + "discriminator": 5667, + "encoder": 5667, + "generator": 5667, + "prior": 5667 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 21.89220435527386, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 25, + "seconds": 0.7572121919947676 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 4000, + "seconds": 21.134992163279094 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 25.271723537996877, + "wall_seconds": 30.06450145400595 + }, + "evaluator_summary": { + "confirmed_checks": 25, + "endpoint_passed": true, + "first_confirmed_step": 1667, + "observations": 25, + "passing_observations": 25 + }, + "execution_path": "public_components", + "final_metrics_sha256": "983b0f094bf7405b942daa8673d2f6ce7431161c2819c799df1796fac6326dea", + "gate_status": "PASS", + "metrics": { + "completed_steps": 5667.0, + "mass_apple": 0.1826171875, + "mass_berry": 0.1884765625, + "mass_grape": 0.2236328125, + "mass_lemon": 0.1943359375, + "mass_melon": 0.2109375, + "mass_tv": 0.034570312500000006, + "minimum_reconstruction_token_probability": 0.9974690675735474, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 0.0007928616140735795, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 5667 + }, + "raw_status": "completed", + "reason": "every joint generation/inverse check throughout the fixed continuation window", + "reasons": [ + "every joint generation/inverse check throughout the fixed continuation window" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_hold" + }, + { + "api_version": "forge-api-v1", + "attempt_id": "51d72e84d719443e8de01c522815b0d8", + "claim_contract": { + "sampling_law": "task_declared", + "schedule": "scheduled", + "scoring_weights": "live" + }, + "compatibility_key": "bd488ae36f83bddccf7a40d113c6d0f45c1056afc63430849597948a445cbab8", + "cost": { + "adapter_loop_seconds": 105.51344837801298, + "adapter_seconds": 105.71187170100166, + "charged_task": "five_word_joint_smoke", + "completed_steps": 20001, + "device": "1", + "execution_seconds": 111.57798224402359, + "flops": { + "kind": "unavailable", + "value": null + }, + "new_optimizer_updates": 20001, + "optimizer_updates": { + "discriminator": 20001, + "encoder": 20001, + "generator": 20001, + "prior": 20001 + }, + "phase_timing": { + "coverage": "partial_adapter", + "measured_seconds": 100.38445039169164, + "method": "exclusive_synchronized_wall_time", + "phases": { + "evaluation": { + "calls": 24, + "seconds": 0.606622488819994 + }, + "sampling": { + "calls": 0, + "seconds": 0 + }, + "training_updates": { + "calls": 20001, + "seconds": 99.77782790287165 + } + }, + "scope": "Training updates exclude input preparation; evaluation includes metrics and its artifact I/O but excludes separately measured sampling." + }, + "runner_seconds": 106.82723651401466, + "wall_seconds": 111.57798224402359 + }, + "evaluator_summary": { + "confirmed_checks": 23, + "endpoint_passed": true, + "first_confirmed_step": 1667, + "observations": 24, + "passing_observations": 23 + }, + "execution_path": "public_components", + "final_metrics_sha256": "ecd4081a4477276c77374cd96dee97391c5417deb82c7dfb0d83eabe1a5a0409", + "gate_status": "PASS", + "metrics": { + "completed_steps": 20001.0, + "mass_apple": 0.2080078125, + "mass_berry": 0.1953125, + "mass_grape": 0.1982421875, + "mass_lemon": 0.2109375, + "mass_melon": 0.1875, + "mass_tv": 0.018945312500000006, + "minimum_reconstruction_token_probability": 0.9985988736152649, + "modes": 5, + "output_noise_added": 0.0, + "policy_latent_perturbation": 0.0, + "quality_fraction": 1.0, + "reconstruction_exact": 1, + "reconstruction_nll": 0.00037552962810110925, + "sample_count": 1024, + "served_averaged": 0.0, + "step": 20001 + }, + "raw_status": "completed", + "reason": "any scheduled full joint pass plus independent same-state confirmation", + "reasons": [ + "any scheduled full joint pass plus independent same-state confirmation" + ], + "sampling": { + "eval_output_noise": "clean", + "sampling_contract_version": 1, + "sampling_law": "generated_and_paired_reconstructed_prior_without_output_noise", + "scoring_weights": "live" + }, + "status": "PASS", + "task_id": "five_word_joint_smoke" + } + ] +} diff --git a/reports/forge/records/readout-e6cf768866c160ba1338f662.json b/reports/forge/records/readout-e6cf768866c160ba1338f662.json index bb6e75bbd..5c2b87693 100644 --- a/reports/forge/records/readout-e6cf768866c160ba1338f662.json +++ b/reports/forge/records/readout-e6cf768866c160ba1338f662.json @@ -14,7 +14,7 @@ "e788e57581684950bcd3adcd3bf73c4a" ], "candidate_id": "recipe-prior-refactor-k3p-v1", - "candidate_revision": "57b4e63e98b96380eec30e9c00f9c37ada38fb4b63253b85ba8e2b1bf5c52e79", + "candidate_revision": 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"b2cd1fb7ffd2f6a5d1d90cf528eea3cf9b78a87f6f3b4e7d230a40f9c516c23c", "cost": { "adapter_reported_inclusive_seconds": 1.2612805019889493, "adapter_seconds": 1.2694247660110705, @@ -37365,7 +37367,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "56284837690568a831b5e45e65f36bd7a4438df1156f051508389a0f2b209269", + "compatibility_key": "b724da464f93c6e2d2e4b68e53a258e460d7df37dbfea15d8c8f3e28f97aca8e", "cost": { "adapter_seconds": 1.1311580580077134, "charged_task": "two_pole", @@ -37832,7 +37834,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "0a164ea9fa59120c15030bc15507246979ba8cabbe853dc0c94b7ab7d4d84d57", + "compatibility_key": "7103224fb13ef09f02611be63fb167c7ddb8b35770de435957e80b2862051ce6", "cost": { "adapter_loop_seconds": 14.195245785987936, "adapter_seconds": 14.50179999601096, @@ -40543,7 +40545,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "618c89ca898dccc67f882c7ce79eed2737a9c058fb14919e1e35fa6eb445b655", + "compatibility_key": "4b6386b24c5fe6551285e603f1dd06822ffc939a3ee2bce0532e436e489f4be1", "cost": { "adapter_loop_seconds": 32.75354554702062, "adapter_seconds": 36.134805367997615, @@ -42650,7 +42652,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "4367d6e2b32991e3204684f5a44ef5222ee82e60f8b9c52ac1c032cf8856f269", + "compatibility_key": "2185b5d013167d52a6e3f944bd6891272c4a93d01a32a4a0146fbbe1e41f75e5", "cost": { "adapter_loop_seconds": 20.107599887996912, "adapter_seconds": 23.545993916981388, @@ -44689,7 +44691,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "7ea7b37ea14f959e602fa006404e0f8a5a3c36e1bc1e6702f168be8d4575acd8", + "compatibility_key": "6304b7429b3e7429878d298497a9fb8ad264d52d49b1c4f0958bd793cb18e3f5", "cost": { "adapter_loop_seconds": 18.431419950007694, "adapter_seconds": 22.077256087999558, diff --git a/reports/forge/records/readout-efc9b823a6b391bc25754f9a.json b/reports/forge/records/readout-efc9b823a6b391bc25754f9a.json index f7bcaaee3..97e745fe1 100644 --- a/reports/forge/records/readout-efc9b823a6b391bc25754f9a.json +++ b/reports/forge/records/readout-efc9b823a6b391bc25754f9a.json @@ -14,7 +14,7 @@ "fd900d2601794c1492fae600ca6f5cd3" ], "candidate_id": "recipe-prior-refactor-ka2-v1", - "candidate_revision": "416d61c9326d47f2683cf060b6cf7d895d0a2eaac440dc93f134016f5a014604", + "candidate_revision": "344ea72637958be757f2e3ac043897a54cfa68667e05bf1a116397effc02a93e", "claim_contract": { "sampling_law": "task_declared", "schedule": "scheduled", @@ -250,7 +250,7 @@ "tuning_through_tier": 3 }, "source": { - "digest": "0a1dcd6192a8f524eb19bc2d77bd35dcfecfd62d401833c1a1bea251dbd1e002", + "digest": "9cc0515fd4e7b966f3ecac95b78445e588f354a7659b885259f0bc8ab7ce48fc", "files": { "benchmarks/__init__.py": "5b3d047f10122eef719de3126e7424b671376d0c1b4392208a5f487f15eed0f7", 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"fcfe9c4dd56ae58f9cb68b765e2185ba3bc8a8b22f8b13154239a102740b9ba9", "particlegan/_bispf/__init__.py": "30901eab7006010aaf29fc695b38461d8429e581e863dfabedce1f6ff413f0a7", "particlegan/_bispf/critic.py": "a843636662f973a700438288afe3470acf98dd4ded7f900501a27c5bc9cc97f1", "particlegan/_bispf/engine.py": "2fa6574a93e20088e6d63e638eb2d53a1e362fcf156b0253161ba8fe572e0e93", @@ -1535,7 +1536,7 @@ "particlegan/feature_reference.py": "e0c3a6d600d136f02f8bf3df4aab6bad4816506ef94519f7800153aded18fd0b", "particlegan/gan_loss.py": "f73cc593aef5d7507dc1a468ee261cc186c8dbfbee3a0aad769b6e252c2c143f", "particlegan/grad_regularizers.py": "a540d05a4a992540b6a5f3b5ff7ccc11ebaf18592135b87c95638adbe68aa747", - "particlegan/gradient_response.py": "a83a9415e1cc60337d33f6eeec9db314df8f2cf6a8b08d5933f9734ec38cb3bc", + "particlegan/gradient_response.py": "2417e7154ade03dc91fc692fbd53ea0d154fa4f4a5db2fac8e8f3c956e5e1f56", "particlegan/init.py": "3534ff23efa413cdf8b4125b91e0d30671d873b3e2958547d4e744b750454b9b", "particlegan/initial_mmd.py": "4c3f949cc2ec307b5860f03721114a504b8634e35620d20c7d3431eb7539968a", "particlegan/k3p.py": "0cbb09526d22a14e6df35c5a3dc94e21158d93d3fec882a41f82445668952564", @@ -1543,6 +1544,7 @@ "particlegan/kinetic_transport.py": "8922627370b55e9e6b47e4c946f94cbd23f87bf17a94c6b9410fcf3c3967c1ee", "particlegan/latent_geometry.py": "ff23493141f2352ad858a5f410c842653101936e3de81bc94110a8a165b2fe8f", "particlegan/latent_lineage.py": "ddfa6d7e94040179d8183e3dd3f48ef523c41223f2a8a45221c34fd8b9fd05f6", + "particlegan/low_precision.py": "8f9f4e5040e984feec6434cfb227eca2851aa47ef40d8b3b6dbce1c66360e7dd", "particlegan/mean_transport.py": "9a3cce37435c32186838e47c8e3f5b1c1ddc0a9aeb7e6c5c380972ef9a3e0208", "particlegan/moment_tether.py": "b2ae60a4322e788e6eeb0113eff9dd0260c91285680715f9b7f835e1561af587", "particlegan/optim/__init__.py": "34d32360b434685d6b88e346ffc68445759c889bac3fbe30c0d30d65eec5bc19", @@ -1568,14 +1570,14 @@ "particlegan/row_evidence.py": "f5814ed469089c74c9d9cbc21ffd1f72c102a409b9fe1591e8230e42427b04c2", "particlegan/sigreg.py": "96bac4b2344f9d505a7d767ecfbb58ab06442e2a1de1a48ea479baa2288e048b", "particlegan/tensorflow_adam.py": "37f1192e48b84907446d8f676c62631bf87ff450b2a2e6b63e7489adc33e24e9", - "particlegan/training.py": "05272bd524b9c2c0812d4e9db912970fbdaa90eabba7763a1e251058dab007fe", + "particlegan/training.py": "e8bc8cd5e24b40dea15c5ab699fc3d8bf50c1b71073bea2c1e15cb7300877085", "particlegan/vicreg_loss.py": "177a68b98036e4725cacf6bc0d95277111184c0dcb9566d3f7fc1527046cefda", "reports/forge/k3p-two-pole-horizon-v1/prepare.py": "bb0ef441a18b71ca9aef0781bc4f0600f0ed320e2dfbb96042484e21ebf33c6c", "reports/forge/k3p-two-pole-horizon-v1/run.py": "a09e93c791c5b9c4dc6145ea3483b4e97ad8707aabfc46215713303e70924341", "reports/toy100/gap-fill-20260925/sources/k3p/convergence_gate.py": "a29c8c21083195c2944a2b2509ec7d4b96e6fc1eb7c3fa6df70d51dea6fe1ce0", "reports/transfer_suite/unadjusted/leading_profile.json": "38327c94dd8c1ad2729ab07a5866191d2c4ec05b3acb841498d5abd786d691dd" }, - "origin_commit": "9904e51f74061b931c29a8662fb39a9422175a8a", + "origin_commit": "07df6f4956085c0d4c0bceaaee48e8b8ef3126bb", "schema_version": 1 }, "study": { @@ -1663,7 +1665,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "cd0304306d9b46213e6a2da2c15d4fb19b6c4ce2f13d018446b125ec981e158d", + "compatibility_key": "8c3388afad7b4e271b8424e04e657775df6b6146f291262fb7829c9b5297167d", "cost": { "adapter_loop_seconds": 18.075708225020207, "adapter_seconds": 18.332512499007862, @@ -22810,7 +22812,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "d64d3157adbcac3f87e4fd609ec798ecd4919ead79d7670c123c4b1ad8e3e2e5", + "compatibility_key": "f295613c5a8da7058e64593df119d0f8343ae88bef2554a31b6fe65929a3bfe7", "cost": { "adapter_loop_seconds": 8.341710412001703, "adapter_seconds": 11.7652485120052, @@ -24850,7 +24852,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "3c11a5b41cae92b437e425019c648f882f4bf0f5da3c40bb01bb1745bda6e1ea", + "compatibility_key": "b961caff93d79d92d2de1db74fb39c95897a31ca2534103d006ba5e321d94ee0", "cost": { "adapter_loop_seconds": 12.190114005992655, "adapter_seconds": 15.75254237599438, @@ -27294,7 +27296,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "99c0ba8b9a9d86b2b72ccbed68123ab2a2f3215499c0e9b2841dea493dc07f1d", + "compatibility_key": "9b374665de6fa57d9f87ab606fca60dab5c849e1bfb122225ddd74674b12c6da", "cost": { "adapter_loop_seconds": 17.06948996600113, "adapter_seconds": 20.390813759993762, @@ -31077,7 +31079,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "bbc0c43b5f4085675ae98e16a025d927c2bf6c18603730e4cffdf496290931b1", + "compatibility_key": "266decd37a618a3a7239eac6a0c7709c3f24d75f2c273d0da21d660dece3f6f8", "cost": { "adapter_seconds": 1.0670429929741658, "charged_task": "two_pole", @@ -31542,7 +31544,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "d4a8c6199209ca050affaafb32fe7c34fd21b62a680a6ad646e40dfdacb23fb9", + "compatibility_key": "a5d4d1f4cdaa71ff0cf986e559099c2ff0be40c3069c83ac856876093b12dd02", "cost": { "adapter_reported_inclusive_seconds": 1.2643849029846024, "adapter_seconds": 1.2722110960166901, @@ -31787,7 +31789,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "2669cbb919b3fa5b31ee4e3d80ccc0e4e92f440961ec0b6be1c3a79879f492ce", + "compatibility_key": "4a96374998b5d7e4cbb8200cafc3d0306f18b8aeb4557729de35cd461e01b0f1", "cost": { "adapter_loop_seconds": 9.638150312006474, "adapter_seconds": 9.881651735020569, @@ -33749,7 +33751,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "bb9847ed43bb9d887e434989221ec2b81217565640eafc45e4353d590ffc116a", + "compatibility_key": "fda3d82a2e062c714bdbb86bf389783d06f89a0643628e123b09c5807d375a12", "cost": { "adapter_loop_seconds": 11.978025144984713, "adapter_seconds": 15.546971231000498, @@ -36194,7 +36196,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "c414eda560f5eb2210cb6651254aaf4a8d2e174f78baf9fe3cae70d349dceadd", + "compatibility_key": "65502a0f6f60bd37afcea282c284f245d728bdf828e42883af1a667a78dec6eb", "cost": { "adapter_loop_seconds": 190.48377825098578, "adapter_seconds": 190.6930696819909, @@ -39429,7 +39431,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "5dff274e17445e99a348d23656895f069bde92fb33aa28e8ac1fdfda943ec09d", + "compatibility_key": "17df54923d9c719e72a616c9a86395dd5b068bc1217e51ef7a0e887fd16d5773", "cost": { "adapter_loop_seconds": 10.37133332900703, "adapter_seconds": 10.673308749013813, @@ -43958,7 +43960,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "a1931e7f46e02078c7ef75f5d588661e4446f76cee7c561f4bbe740b6382eb2a", + "compatibility_key": "942f94c6e6a92d6b55864382374fe9d3964b019a9d73742a5a647a2285c3dea2", "cost": { "adapter_seconds": 2.1378409510070924, "charged_task": "unused_token_hold", @@ -46650,7 +46652,7 @@ "schedule": "scheduled", "scoring_weights": "live" }, - "compatibility_key": "590a87c9133d9645fd1ada7e62ee543ed4d23d6586e47aabd114b58762a303d9", + "compatibility_key": "4439b9e768be0367f72ff10f5073a6a1069689b0e31f78631230b2a165a5fb75", "cost": { "adapter_seconds": 2.9965086500160396, "charged_task": "ae_gan_hold", diff --git a/reports/forge/regenerate_technique_inventory.py b/reports/forge/regenerate_technique_inventory.py index 0f7c89373..3716bc789 100644 --- a/reports/forge/regenerate_technique_inventory.py +++ b/reports/forge/regenerate_technique_inventory.py @@ -673,7 +673,70 @@ def _evaluator_revision_reaches(root, task, target_evaluation_sha256): if fingerprint in seen: return False seen.add(fingerprint) - revision = current.get("evaluation", {}).get("evaluator_revision") + evaluation = current.get("evaluation", {}) + integration = evaluation.get("integration_source_binding") + if (isinstance(integration, dict) + and integration.get("id") == "reviewed-model-prs-integration-20261109"): + # Combined integration adds a source binding beside (rather than + # replacing) evaluator_revision. Verify its exact archived bytes + # before following that older lineage. This is comparison ancestry, + # never permission to reuse a measurement at the integrated source. + commit = integration.get("previous_task_commit") + relative = integration.get("previous_task_path") + receipt_path = integration.get("integration_receipt") + paths = (relative, receipt_path) + if (not isinstance(commit, str) or len(commit) != 40 + or any(char not in "0123456789abcdef" for char in commit) + or any(not isinstance(path, str) or Path(path).is_absolute() + or ".." in Path(path).parts or Path(path).suffix != ".json" + for path in paths) + or integration.get("qualification_input") is not False): + return False + try: + previous_raw = subprocess.check_output( + ["git", "show", f"{commit}:{relative}"], cwd=root) + previous = json.loads(previous_raw) + current_raw = (Path(root) / relative).read_bytes() + receipt = read_json(Path(root) / receipt_path) + rows = [row for row in receipt["tasks"] + if row.get("previous_task_path") == relative] + if (len(rows) != 1 + or json.loads(current_raw) != current + or receipt.get("schema") != "pr_combined_integration_source_binding_v1" + or receipt.get("pr") != "combined" + or any(receipt.get(key) is not False for key in ( + "training_rerun", "qualification_results_changed", + "automatic_cross_source_reuse", "qualification_input"))): + return False + row = rows[0] + if (any(row.get(key) != integration.get(key) for key in ( + "previous_task_commit", "previous_task_path", + "previous_task_sha256", "previous_task_blob")) + or hashlib.sha256(previous_raw).hexdigest() != integration.get("previous_task_sha256") + or hashlib.sha1(f"blob {len(previous_raw)}\0".encode() + previous_raw).hexdigest() + != integration.get("previous_task_blob") + or hashlib.sha256(current_raw).hexdigest() != row.get("current_task_sha256") + or row.get("sources_before") != previous.get("evaluation", {}).get("sources") + or row.get("sources_after") != evaluation.get("sources") + or any(file_hash(Path(root) / path) != digest + for path, digest in row["sources_after"].items())): + return False + except (OSError, subprocess.CalledProcessError, json.JSONDecodeError, + KeyError, TypeError, AttributeError): + return False + restored = deepcopy(current) + restored["evaluation"].pop("integration_source_binding") + if "integration_source_binding" in previous.get("evaluation", {}): + restored["evaluation"]["integration_source_binding"] = deepcopy( + previous["evaluation"]["integration_source_binding"]) + restored["evaluation"]["sources"] = deepcopy(previous.get("evaluation", {}).get("sources")) + # No execution, gate, ownership, sampler or earlier revision change + # can be justified by this source-only binding, even if receipted. + if restored != previous: + return False + current = previous + continue + revision = evaluation.get("evaluator_revision") if not isinstance(revision, dict): return False commit = revision.get("previous_task_commit") @@ -2759,30 +2822,17 @@ def matches(self, rec: dict, row: dict, tid: str) -> bool: def _format_tier1_bucket(outcomes: list[str], total: int, *, bold_score: bool = False) -> str: - passed = sum(item == "PASS" for item in outcomes) - failed = sum(item == "FAIL" for item in outcomes) - preflight_blocked = sum(item == "PREFLIGHT_BLOCKED" for item in outcomes) - dep_blocked = sum(item == "BLOCKED" for item in outcomes) - unmeasured = sum(item == "UNMEASURED" for item in outcomes) + counts = Counter(outcomes) + passed = counts.pop("PASS", 0) base = f"**{passed}/{total}**" if bold_score else f"{passed}/{total}" - notes = [] - if not bold_score and failed: - notes.append(f"{failed} fail") - if preflight_blocked: - notes.append(f"{preflight_blocked} preflight-blocked") - if dep_blocked: - notes.append(f"{dep_blocked} blocked") - if unmeasured: - notes.append(f"{unmeasured} not run") + labels = {"FAIL": "fail", "PREFLIGHT_BLOCKED": "preflight-blocked", + "BLOCKED": "blocked", "UNMEASURED": "not run", "UNKNOWN": "not measured"} + notes = [f"{count} {labels.get(status, status.lower())}" + for status, count in sorted(counts.items(), key=lambda pair: (list(labels).index(pair[0]) + if pair[0] in labels else len(labels), pair[0])) if count] return f"{base} ({', '.join(notes)})" if notes else base -def _format_binary_bucket(passed: int, total: int, *, bold_score: bool = False) -> str: - failed = total - passed - base = f"**{passed}/{total}**" if bold_score else f"{passed}/{total}" - return f"{base} ({failed} fail)" if failed else base - - def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: root = Path(root).resolve() progress = result.get("family_progress") @@ -2951,7 +3001,9 @@ def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: from experiments.forge.views import task_evaluation_fingerprint, task_execution_fingerprint coverage_fps = _load_attempt_coverage_task_fps(root) - coverage_verdicts = _load_attempt_coverage_family_verdicts(root) + # Coverage is diagnostic, even if its family/task labels match. + # Only compatibility-checked concluded task rows supply observations. + coverage_verdicts = {} shared_attempt_cache: dict[str, dict | None] = {} rows_data = [] source_digests = set() @@ -3021,7 +3073,7 @@ def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: any_t1_row_rejected = True continue st = trow.get("gate_status") or trow.get("status") - if st in {"PASS", "FAIL", "BLOCKED"}: + if st in {"PASS", "FAIL", "BLOCKED", "ERROR", "INVALID", "INCOMPLETE", "TIMEOUT", "INTERRUPTED"}: if tid in t1_task_set: measured[tid] = st all_measured[tid] = st @@ -3031,6 +3083,16 @@ def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: if used: used_records.append((rec_rel, rec_name)) fam_cov = coverage_verdicts.get(fam_id, {}) + t1_recorded_set = { + t + for t in t1_task_set + if t in req["tasks"] + and ( + t in req_tasks + or t in fam_cov + or not (req["tasks"][t].get("execution") or {}).get("linear_precision") + ) + } has_current_source_coverage = any(src == req["source"]["digest"] for src, _ in coverage_fps) all_runnable_matched = runnable_count > 0 and runnable_matched_count == runnable_count all_t1_in_coverage = ( @@ -3042,8 +3104,7 @@ def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: and not any_t1_row_rejected and all( t in measured or t in fam_cov - for t in t1_task_set - if t in req["tasks"] + for t in t1_recorded_set ) and all( ( @@ -3051,8 +3112,8 @@ def _concluded_current_source_tier1_payload(result, root: Path) -> dict | None: task_evaluation_fingerprint(req["tasks"][t]), ) in coverage_fps.get((req["source"]["digest"], t), set()) - for t in t1_task_set - if t in req["tasks"] and (req["source"]["digest"], t) in coverage_fps + for t in t1_recorded_set + if (req["source"]["digest"], t) in coverage_fps ) ) if all_t1_in_coverage: @@ -3095,10 +3156,14 @@ def _outcomes(task_ids: list[str]) -> list[str]: out.append(measured[tid]) elif req["tasks"][tid].get("preflight_blockers"): out.append("PREFLIGHT_BLOCKED") - elif measured.get(tid) in {"PASS", "FAIL", "BLOCKED"}: + elif tid in measured: out.append(measured[tid]) elif _dep_blocked(tid): out.append("BLOCKED") + elif all_t1_in_coverage and ( + req["tasks"].get(tid, {}).get("execution") or {} + ).get("linear_precision"): + out.append("BLOCKED") else: out.append("UNMEASURED") return out @@ -3127,13 +3192,30 @@ def _outcomes(task_ids: list[str]) -> list[str]: ) if any_matched and len(source_digests) == 1: rows_data.sort(key=lambda item: (-item["total_pass"], -item["req_pass"], item["family_label"])) + families = { + item["family_id"]: { + "candidate_id": item["candidate_id"], + "candidate_revision": item["candidate_revision"], + "source_digest": item["source_digest"], + "records": { + tid: {"status": st} + for tid, st in item["measured"].items() + if st + }, + } + for item in rows_data + } payload = { + "scope": "current_source_formulaic_display", + "qualification_input": False, + "qualification_reuse": False, "source_digest": next(iter(source_digests)), "view_revision": view_revision, "req_total": req_total, "diag_total": diag_total, "stretch_total": sum(item.get("importance") in {"stretch", "held"} for item in t1_assignments), "rows": rows_data, + "families": families, } except Exception: payload = None @@ -3220,60 +3302,17 @@ def _formulaic_display_payload(result, root: Path) -> dict | None: def _selected_recipe_binary_task_statuses(result, root: Path) -> dict[str, dict[str, str]] | None: - cached = _formulaic_display_payload(result, root) - if cached is None: - return None - from experiments.forge.family_reports import _selected_cohorts, _selected_row, _summed_views, full_suite_tasks + """Compatibility name: exact selected-cohort statuses, never binary imputation. + Diagnostic coverage remains separately available from its original receipts; + neither matching family labels nor policy-parent aliases transfer a grade. + """ + from experiments.forge.family_reports import _selected_cohorts progress = result.get("family_progress") or {} - recorded_display = cached.get("scope") == "recorded_source_formulaic_display" - measured_by_cid = {} if recorded_display else { - item["candidate_id"]: item.get("measured", {}) for item in cached["rows"]} - all_tasks: set[str] = set(full_suite_tasks(progress)) - for view in _summed_views(progress): - for assignment in view.get("assignments", []): - if "task" in assignment: - all_tasks.add(str(assignment["task"])) - by_family: dict[str, dict[str, str]] = {} - for family, cohort in _selected_cohorts(progress): - row = _selected_row(result, cohort) - cid = row.get("candidate_id", "") - ro = ({task: record["status"] for task, record in cached["families"][family["id"]]["records"].items()} - if recorded_display else measured_by_cid.get(cid, {})) - tasks_map = cohort.get("tasks", {}) - fam_statuses: dict[str, str] = {} - for tid in set(tasks_map) | set(ro) | all_tasks: - rec_st = tasks_map.get(tid, {}).get("status") - if recorded_display and tid not in ro: - fam_statuses[tid] = rec_st or "UNKNOWN" - continue - if recorded_display and tid in ro: - fam_statuses[tid] = ro[tid] - elif ro.get(tid) in {"PASS", "FAIL"}: - fam_statuses[tid] = ro[tid] - elif rec_st in {"PASS", "FAIL"}: - fam_statuses[tid] = rec_st - else: - ra = tasks_map.get(tid, {}).get("run_attempt") - if isinstance(ra, dict) and ra.get("status") in {"PASS", "FAIL"}: - fam_statuses[tid] = ra["status"] - else: - parent_id = ((tasks_map.get(tid, {}).get("policy_parent") or {}).get("id") or "") - if parent_id and ro.get(parent_id) in {"PASS", "FAIL"}: - fam_statuses[tid] = ro[parent_id] - elif tid == "clockfree_audit" and ( - tasks_map.get("clockfree_audit_measurement_v1", {}).get("status") in {"PASS", "FAIL"} - or ro.get("clockfree_audit_measurement_v1") in {"PASS", "FAIL"} - ): - fam_statuses[tid] = ( - ro["clockfree_audit_measurement_v1"] - if ro.get("clockfree_audit_measurement_v1") in {"PASS", "FAIL"} - else tasks_map.get("clockfree_audit_measurement_v1", {}).get("status") - ) - else: - fam_statuses[tid] = "FAIL" - by_family[family["id"]] = fam_statuses - return by_family + families = {family["id"]: {name: entry.get("status", "UNKNOWN") + for name, entry in cohort.get("tasks", {}).items()} + for family, cohort in _selected_cohorts(progress)} + return families or None def _current_source_tier1_readouts_markdown(result, root, path) -> str: @@ -3282,87 +3321,13 @@ def _current_source_tier1_readouts_markdown(result, root, path) -> str: cached = _concluded_current_source_tier1_payload(result, root) if not cached: return "" - from experiments.forge.family_reports import _summed_views, link - - complete_binary = all( - "UNMEASURED" not in (item["req_outcomes"] + item["diag_outcomes"]) - for item in cached["rows"] - ) - binary_by_family = _selected_recipe_binary_task_statuses(result, root) if complete_binary else None - progress = result.get("family_progress") or {} - distinct_by_tier: dict[int, list[str]] = {1: [], 2: [], 3: []} - if binary_by_family is not None: - seen_by_tier: dict[int, set[str]] = {1: set(), 2: set(), 3: set()} - for view in _summed_views(progress): - for assignment in view.get("assignments", []): - if assignment.get("importance") == "required": - tier_num = int(assignment["qualification_tier"]) - if tier_num in seen_by_tier: - seen_by_tier[tier_num].add(assignment["task"]) - distinct_by_tier = {t: sorted(tasks) for t, tasks in seen_by_tier.items()} + from experiments.forge.family_reports import link src12 = cached["source_digest"][:12] req_total = cached["req_total"] diag_total = cached["diag_total"] other_label = "Stretch / diagnostic" if cached.get("stretch_total", 0) else "Diagnostic" all_total = req_total + diag_total - if binary_by_family is not None: - t2_total = len(distinct_by_tier[2]) - t3_total = len(distinct_by_tier[3]) - tot36_total = all_total + t2_total + t3_total - lines = [ - "### Current-source selected-recipe Tier 1 readouts", - "", - ( - f"Matched current-source (`{src12}`, `discriminator_stability` revision {cached['view_revision']}) " - f"formulaic Tier 1–3 evaluation for each family's selected recipe under protocol seed 0 on " - f"`NVIDIA RTX A6000` ({req_total} required + {diag_total} {other_label.lower()} = {all_total} Tier 1 tests, " - f"{t2_total} Tier 2 tests, {t3_total} Tier 3 tests; {tot36_total} distinct tests total). " - "Every test evaluates to binary PASS or FAIL (any constructor/preflight refusal or non-passing " - "outcome counts as FAIL, with no third option)." - ), - "", - ( - f"| Family | Selected recipe | Source / revision | Required Tier 1 ({req_total}) " - f"| {other_label} Tier 1 ({diag_total}) | Total Tier 1 ({all_total}) | Tier 2 ({t2_total}) " - f"| Tier 3 ({t3_total}) | Total Tier 1–3 ({tot36_total}) | Evidence |" - ), - "| --- | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | --- |", - ] - for item in cached["rows"]: - fam_id = item["family_id"] - fam_statuses = binary_by_family[fam_id] - family_cell = link(root, path, item["family_label"], item["family_page"]) - card_href = os.path.relpath(root / item["card_rel"], path.parent) - recipe_cell = f"[`{item['candidate_id']}`]({card_href})" - rev12 = item["candidate_revision"][:12] - src_rev_cell = f"`{item['source_digest'][:12]}` / `{rev12}`" - req_pass = sum(outcome == "PASS" for outcome in item["req_outcomes"]) - diag_pass = sum(outcome == "PASS" for outcome in item["diag_outcomes"]) - t1_pass = req_pass + diag_pass - t2_pass = sum(fam_statuses.get(t) == "PASS" for t in distinct_by_tier[2]) - t3_pass = sum(fam_statuses.get(t) == "PASS" for t in distinct_by_tier[3]) - tot36_pass = t1_pass + t2_pass + t3_pass - req_cell = _format_binary_bucket(req_pass, req_total) - diag_cell = _format_binary_bucket(diag_pass, diag_total) - tot_cell = _format_binary_bucket(t1_pass, all_total, bold_score=True) - t2_cell = _format_binary_bucket(t2_pass, t2_total) - t3_cell = _format_binary_bucket(t3_pass, t3_total) - tot36_cell = _format_binary_bucket(tot36_pass, tot36_total, bold_score=True) - if item["used_records"]: - ev_links = [ - f"[`{rec_name}`]({os.path.relpath(root / rec_rel, path.parent)})" - for rec_rel, rec_name in item["used_records"] - ] - ev_cell = " · ".join(ev_links) - else: - ev_cell = f"[`{Path(item['card_rel']).name}`]({card_href})" - lines.append( - f"| {family_cell} | {recipe_cell} | {src_rev_cell} | {req_cell} | {diag_cell} | {tot_cell} " - f"| {t2_cell} | {t3_cell} | {tot36_cell} | {ev_cell} |" - ) - return "\n".join(lines) - lines = [ "### Current-source selected-recipe Tier 1 readouts", "", @@ -3409,302 +3374,9 @@ def _current_source_tier1_readouts_markdown(result, root, path) -> str: def _formulaic_selected_recipe_tables(markdown: str, result, root, path) -> str: - root = Path(root).resolve() - path = Path(path).resolve() - binary_by_family = _selected_recipe_binary_task_statuses(result, root) - if binary_by_family is None: - return markdown - display = _formulaic_display_payload(result, root) - if display.get("scope") == "recorded_source_formulaic_display": - note = ("Recorded formulaic scores retain each recipe's original source and task bindings in " - "[the coverage receipts](attempt-coverage.json). They are an archived display projection, " - "not current-source qualification; current-source evidence gaps remain separate.\n\n") - if note not in markdown: - markdown = markdown.replace("## Selected recipes\n\n", "## Selected recipes\n\n" + note, 1) - from experiments.forge.family_reports import ( - _selected_cohorts, - _summed_views, - full_suite_tasks, - link, - ) - - from experiments.forge.views import is_stretch - progress = result.get("family_progress") or {} - summed_views = _summed_views(progress) - view_by_id = {v["id"]: v for v in summed_views} - distinct_req_by_tier: dict[str, list[str]] = {t: [] for t in ("1", "2", "3", "4")} - seen_req_by_tier: dict[str, set[str]] = {t: set() for t in ("1", "2", "3", "4")} - distinct_stretch_by_tier: dict[str, list[str]] = {t: [] for t in ("1", "2", "3", "4")} - seen_stretch_by_tier: dict[str, set[str]] = {t: set() for t in ("1", "2", "3", "4")} - for view in summed_views: - for assignment in view.get("assignments", []): - t_key = str(assignment["qualification_tier"]) - if assignment.get("importance") == "required": - if t_key in seen_req_by_tier: - seen_req_by_tier[t_key].add(assignment["task"]) - elif is_stretch(assignment) and t_key in seen_stretch_by_tier: - seen_stretch_by_tier[t_key].add(assignment["task"]) - for t_key in ("1", "2", "3", "4"): - distinct_req_by_tier[t_key] = sorted(seen_req_by_tier[t_key]) - distinct_stretch_by_tier[t_key] = sorted(seen_stretch_by_tier[t_key]) - all_distinct_req = [t for t_key in ("1", "2", "3", "4") for t in distinct_req_by_tier[t_key]] - all_distinct_stretch = sorted({t for t_key in ("1", "2", "3", "4") for t in distinct_stretch_by_tier[t_key]}) - - from experiments.forge.leaderboard_contract import load_fixed_test_list - - fixed_list = load_fixed_test_list(root) - fs_tasks = list(fixed_list["tests"]) if fixed_list else full_suite_tasks(progress) - counted_set = set(all_distinct_req) - uncounted_fs_tasks = [t for t in fs_tasks if t not in counted_set] - - selected_cohorts = list(_selected_cohorts(progress)) - selected_by_page_target: dict[str, tuple[dict, dict]] = {} - for family, cohort in selected_cohorts: - rel_page = os.path.relpath(root / family["page"], path.parent) - selected_by_page_target[f"]({rel_page})"] = (family, cohort) - - def _fmt_selected_cell(v_pass: int, v_tot: int, d_pass: int, d_tot: int, page: str, anchor: str, *, bold: bool = True) -> str: - raw_link = link(root, path, f"{v_pass}/{v_tot}", page, anchor) - v_link = f"**{raw_link}**" if bold else raw_link - if d_tot <= 0: - return v_link - d_fail = d_tot - d_pass - return f"{v_link} · {d_pass}/{d_tot} tests ({d_fail} fail)" if d_fail else f"{v_link} · {d_pass}/{d_tot} tests" - - if "Every selected recipe is evaluated formulaically" not in markdown: - markdown = markdown.replace( - "Held failures remain visible in the full-suite results below; separate diagnostic runs appear below.", - "Every selected recipe is evaluated formulaically across Tier 1, Tier 2, Tier 3, and Tier 4 as binary PASS or FAIL " - "(reporting both counted view-requirement passes and distinct-test passes/failures, with no third option: any " - "constructor refusal, preflight blocker, dependency block, or non-passing outcome counts as FAIL). " - "Held failures remain visible in the full-suite results below; separate diagnostic runs appear below.", - 1, - ) - if "Selected-recipe tables evaluate every test formulaically" not in markdown: - markdown = markdown.replace( - "Counts show passes / required tasks; selected-row pass counts remain unchanged. For rows with run-attempt coverage, the suffix counts " - "genuinely unattempted tasks as not run, constructor refusals as incompatible, missing required artifacts " - "as blocked, and other separate-runtime attempts as diagnostic attempts. A start refusal is not a " - "numerical failure.", - "Counts show passes / required tasks. Selected-recipe tables evaluate every test formulaically as binary PASS or FAIL " - "(with no third option: any constructor refusal, preflight blocker, dependency block, or non-passing outcome counts as FAIL). " - "For historical research rows with run-attempt coverage, the suffix counts genuinely unattempted tasks as not run, " - "constructor refusals as incompatible, missing required artifacts as blocked, and other separate-runtime attempts as " - "diagnostic attempts.", - 1, - ) - - lines = markdown.splitlines() - in_full_suite = False - in_stretch = False - in_view_breakdown = False - for idx, line in enumerate(lines): - if line.startswith("## Full-suite results — failures included"): - in_full_suite = True - in_stretch = False - in_view_breakdown = False - continue - if line.startswith("## Stretch experiments"): - in_stretch = True - in_full_suite = False - in_view_breakdown = False - continue - if line.startswith("## ") and not line.startswith("## Full-suite results") and not line.startswith("## Stretch experiments"): - in_full_suite = False - in_stretch = False - if line.startswith("Selected recipe breakdown by view"): - in_view_breakdown = True - in_full_suite = False - in_stretch = False - continue - if in_view_breakdown and line.startswith(""): - in_view_breakdown = False - continue - - if line.startswith("| **["): - col0 = line.split(" | ", 1)[0].replace( - "
Recorded source measurement · **stale**; no current qualification", - "", - ) - matched = next( - ((fam, coh) for marker, (fam, coh) in selected_by_page_target.items() if marker in col0), - None, - ) - if matched is None: - continue - family, cohort = matched - fam_statuses = binary_by_family[family["id"]] - tier_cells = [] - v_pass_total = 0 - v_tot_total = 0 - for t_key in ("1", "2", "3", "4"): - v_pass = 0 - v_tot = 0 - for view in summed_views: - for assignment in view.get("assignments", []): - if ( - assignment.get("importance") == "required" - and str(assignment["qualification_tier"]) == t_key - ): - v_tot += 1 - if fam_statuses.get(assignment["task"]) == "PASS": - v_pass += 1 - v_pass_total += v_pass - v_tot_total += v_tot - d_tasks = distinct_req_by_tier[t_key] - d_pass = sum(fam_statuses.get(t) == "PASS" for t in d_tasks) - tier_cells.append( - _fmt_selected_cell( - v_pass, - v_tot, - d_pass, - len(d_tasks), - family["page"], - f"{cohort['anchor']}-tier-{t_key}", - ) - ) - d_pass_total = sum(fam_statuses.get(t) == "PASS" for t in all_distinct_req) - total_cell = _fmt_selected_cell( - v_pass_total, - v_tot_total, - d_pass_total, - len(all_distinct_req), - family["page"], - cohort["anchor"], - ) - lines[idx] = f"{col0} | " + " | ".join([*tier_cells, total_cell]) + " |" - elif in_stretch and line.startswith("| ["): - col0 = line.split(" | ", 1)[0] - matched = next( - ((fam, coh) for marker, (fam, coh) in selected_by_page_target.items() if marker in col0), - None, - ) - if matched is None: - continue - family, cohort = matched - fam_statuses = binary_by_family[family["id"]] - if any(fam_statuses.get(task) not in {"PASS", "FAIL"} for task in all_distinct_stretch): - # The family renderer already preserves archived outcomes and - # labels new cells not run/blocked. Do not invent binary FAILs. - continue - tier_cells = [] - v_pass_total = 0 - v_tot_total = 0 - for t_key in ("1", "2", "3", "4"): - v_pass = 0 - v_tot = 0 - for view in summed_views: - for assignment in view.get("assignments", []): - if is_stretch(assignment) and str(assignment["qualification_tier"]) == t_key: - v_tot += 1 - if fam_statuses.get(assignment["task"]) == "PASS": - v_pass += 1 - v_pass_total += v_pass - v_tot_total += v_tot - d_tasks = distinct_stretch_by_tier[t_key] - d_pass = sum(fam_statuses.get(t) == "PASS" for t in d_tasks) - tier_cells.append( - _fmt_selected_cell( - v_pass, - v_tot, - d_pass, - len(d_tasks), - family["page"], - f"{cohort['anchor']}-tier-{t_key}", - bold=False, - ) - ) - d_pass_total = sum(fam_statuses.get(t) == "PASS" for t in all_distinct_stretch) - total_cell = _fmt_selected_cell( - v_pass_total, - v_tot_total, - d_pass_total, - len(all_distinct_stretch), - family["page"], - f"{cohort['anchor']}-held", - bold=False, - ) - lines[idx] = f"{col0} | " + " | ".join([*tier_cells, total_cell]) + " |" - elif in_full_suite and line.startswith("| ["): - parts = line.split(" | ") - if len(parts) < 8: - continue - col0 = parts[0] - matched = next( - ((fam, coh) for marker, (fam, coh) in selected_by_page_target.items() if marker in col0), - None, - ) - if matched is None: - continue - family, _ = matched - fam_statuses = binary_by_family[family["id"]] - from experiments.forge.leaderboard_contract import fixed_outcomes - counts = fixed_outcomes(fam_statuses, fs_tasks, uncounted_fs_tasks) - held = counts["held"] - held_summary = f"{held['total']}: {held['passed']} PASS, {held['failed']} FAIL" - if held["not_measured"]: - held_summary += f", {held['not_measured']} not measured" - if held["total"] - held["passed"] - held["failed"] - held["not_measured"]: - held_summary += ", other outcomes" - other = ", ".join(f"{n} {status.lower()}" for status, n in counts["other"].items()) or "0" - tuning_col = parts[7] - lines[idx] = ( - f"{col0} | {counts['passed']} | **{counts['failed']}** | {counts['not_measured']} | {other} | {held_summary} | {len(fs_tasks)} | {tuning_col}" - ) - elif in_view_breakdown and line.startswith("| [") and " | ↳ [" in line: - parts = line.split(" | ") - if len(parts) < 7: - continue - col0, col1 = parts[0], parts[1] - matched = next( - ((fam, coh) for marker, (fam, coh) in selected_by_page_target.items() if marker in col0), - None, - ) - if matched is None: - continue - family, cohort = matched - fam_statuses = binary_by_family[family["id"]] - view_obj = next( - (v for v in cohort.get("views", []) if f"↳ [{v['id']}](" in col1), - None, - ) - if view_obj is None or view_obj["id"] not in view_by_id: - continue - v_id = view_obj["id"] - v_def = view_by_id[v_id] - v_tier_cells = [] - vp_tot = 0 - vt_tot = 0 - for t_key in ("1", "2", "3", "4"): - req_t = [ - a["task"] - for a in v_def.get("assignments", []) - if assignment_is_req(a, t_key) - ] - vp = sum(fam_statuses.get(t) == "PASS" for t in req_t) - vt = len(req_t) - vp_tot += vp - vt_tot += vt - v_tier_cells.append( - link(root, path, f"{vp}/{vt}", family["page"], f"{cohort['anchor']}-{v_id}-tier-{t_key}") - ) - v_tot_cell = link(root, path, f"{vp_tot}/{vt_tot}", family["page"], f"{cohort['anchor']}-{v_id}") - row_cells = [col0, col1, *v_tier_cells, v_tot_cell] - if len(parts) >= 8: - if "held" in view_obj: - held_t = [ - a["task"] - for a in v_def.get("assignments", []) - if is_stretch(a) - ] - hp = sum(fam_statuses.get(t) == "PASS" for t in held_t) - ht = len(held_t) - row_cells.append(link(root, path, f"{hp}/{ht}", family["page"], f"{cohort['anchor']}-held")) - else: - row_cells.append("—") - lines[idx] = " | ".join(row_cells) + " |" - - return "\n".join(lines) + ("\n" if markdown.endswith("\n") else "") + # Diagnostic coverage cannot replace a selected cohort's recorded grades. + # The family renderer already preserves scientific and operational statuses. + return markdown def assignment_is_req(assignment: dict, tier_key: str) -> bool: @@ -4325,169 +3997,9 @@ def declared_tier(tier, match): def _project_publication_for_family_pages(root, publication): - """Project formulaic binary PASS/FAIL outcomes onto selected cohorts for family/problem markdown rendering.""" - binary_by_family = _selected_recipe_binary_task_statuses(publication, Path(root)) - if binary_by_family is None: - return publication - from experiments.forge.family_reports import _selected_cohorts - - projected = deepcopy(publication) - display = _formulaic_display_payload(publication, Path(root)) - recorded_display = display.get("scope") == "recorded_source_formulaic_display" - if recorded_display: - projected["recorded_formulaic_display"] = {key: deepcopy(display[key]) - for key in ("scope", "qualification_input", "qualification_reuse", "coverage")} - progress = projected.get("family_progress") or {} - attempt_records_by_family = _load_attempt_coverage_family_records(Path(root)) - view_by_id = {v["id"]: v for v in progress.get("views", [])} - - selected_anchor_to_fam: dict[tuple[str | None, int | None], str] = {} - target_cohorts: list[tuple[str, dict]] = [] - for family, cohort in _selected_cohorts(progress): - fam_id = family["id"] - if fam_id not in binary_by_family: - continue - selected_anchor_to_fam[(cohort.get("anchor"), cohort.get("row_index"))] = fam_id - target_cohorts.append((fam_id, cohort)) - for cfg_family in progress.get("configuration_families", []): - for cohort in cfg_family.get("cohorts", []): - key = (cohort.get("anchor"), cohort.get("row_index")) - if key in selected_anchor_to_fam: - target_cohorts.append((selected_anchor_to_fam[key], cohort)) - - for fam_id, cohort in target_cohorts: - fam_statuses = binary_by_family[fam_id] - tasks_dict = cohort.get("tasks", {}) - for task_name, t_entry in tasks_dict.items(): - parent_id = (t_entry.get("policy_parent") or {}).get("id") - original = display["families"][fam_id]["records"].get(task_name) if recorded_display else None - if recorded_display and original is None: - # An archived complete ordinary suite grants nothing to other - # diagnostic or newly declared tasks on the family page. - continue - if task_name in fam_statuses: - status = fam_statuses[task_name] - else: - if t_entry.get("status") in {"PASS", "FAIL"}: - status = t_entry["status"] - elif parent_id and parent_id in fam_statuses: - status = fam_statuses[parent_id] - else: - status = "FAIL" - att_rec = original if recorded_display else ( - attempt_records_by_family.get((fam_id, task_name)) or ( - attempt_records_by_family.get((fam_id, parent_id)) if parent_id else None)) - t_entry["status"] = status - t_entry["execution_recorded"] = True - if recorded_display: - t_entry["recorded_formulaic_display"] = { - "scope": display["scope"], "qualification_input": False, "qualification_reuse": False, - **{key: deepcopy(original[key]) for key in ( - "key", "candidate_id", "candidate_revision", "source_digest", "execution_sha256", "evaluation_sha256")}} - t_entry["coverage_reason"] = ("Recorded formulaic display retains its original source and task bindings. " - + str(t_entry.get("coverage_reason", "Current task compatibility is unverified.")) - + " No current-source qualification is granted.") - else: - t_entry["current_contract"] = "matches" - t_entry["changed_contract_fields"] = [] - t_entry["coverage_reason"] = "Test definition matches the recorded conditions." - t_entry.pop("separate_diagnostic_executed", None) - t_entry.pop("preflight_blockers", None) - if att_rec is not None and att_rec.get("reason"): - t_entry["reason"] = str(att_rec["reason"]) - if not t_entry.get("reason") or any( - marker in str(t_entry.get("reason", "")) - for marker in ( - "No recorded result", - "not executed", - "Skipped incompatible", - "separate-runtime diagnostic", - "lacks task support", - "native model variants require an explicit profile", - "only zero_tanh_smoke is routed", - "unsupported vector target declaration", - "no compatible result", - "DDGAN caller-owned transition host", - "requires a recipe without", - ) - ): - t_entry["reason"] = ( - str(att_rec["reason"]) - if att_rec is not None and att_rec.get("reason") - else f"Formulaic evaluation {status}." - ) - run_att = t_entry.get("run_attempt") - if isinstance(run_att, dict) and run_att.get("status") not in {"PASS", "FAIL"}: - if att_rec is not None: - t_entry["run_attempt"] = deepcopy(att_rec) - else: - run_att["status"] = status - run_att["attempted"] = True - run_att["reason"] = t_entry["reason"] - - def _binary_count(task_names: list[str]) -> dict: - passed = sum(tasks_dict.get(t, {}).get("status") == "PASS" for t in task_names) - failed = len(task_names) - passed - counts: dict[str, int] = {} - if passed: - counts["PASS"] = passed - if failed: - counts["FAIL"] = failed - return { - "passed": passed, - "total": len(task_names), - "incomplete": False, - "not_run": 0, - "incompatible": 0, - "counts": counts, - } - - def _sum_binary_counts(items: list[dict]) -> dict: - passed = sum(c["passed"] for c in items) - total = sum(c["total"] for c in items) - failed = total - passed - counts: dict[str, int] = {} - if passed: - counts["PASS"] = passed - if failed: - counts["FAIL"] = failed - return { - "passed": passed, - "total": total, - "incomplete": False, - "not_run": 0, - "incompatible": 0, - "counts": counts, - } - - for view_list_key in ("views", "scoped_views"): - for v_row in cohort.get(view_list_key, []): - v_def = view_by_id.get(v_row["id"]) - if v_def is None: - continue - assignments = v_def.get("assignments", []) - for t_key in list(v_row.get("tiers", {}).keys()): - req_t = [ - a["task"] - for a in assignments - if a.get("importance") == "required" and str(a.get("qualification_tier")) == str(t_key) - ] - v_row["tiers"][t_key] = _binary_count(req_t) - v_row["total"] = _sum_binary_counts(list(v_row.get("tiers", {}).values())) - if "held" in v_row: - from experiments.forge.views import is_stretch - held_t = [a["task"] for a in assignments if is_stretch(a)] - v_row["held"] = _binary_count(held_t) - - for t_key in list(cohort.get("tiers", {}).keys()): - cohort["tiers"][t_key] = _sum_binary_counts( - [v_row["tiers"][t_key] for v_row in cohort.get("views", []) if t_key in v_row.get("tiers", {})] - ) - cohort["total"] = _sum_binary_counts([v_row["total"] for v_row in cohort.get("views", [])]) - for alt in cohort.get("configuration_alternatives", []): - if alt.get("selected"): - alt["total"] = deepcopy(cohort["total"]) - return projected + """Keep exact-cohort grades and annotate audited diagnostic observations.""" + from experiments.forge.publication_integrity import annotate_publication + return annotate_publication(root, publication) def _install_family_reports_generated_pages_hook() -> None: diff --git a/reports/forge/reviewed-pr-integration-20261109/README.md b/reports/forge/reviewed-pr-integration-20261109/README.md new file mode 100644 index 000000000..e9bf29893 --- /dev/null +++ b/reports/forge/reviewed-pr-integration-20261109/README.md @@ -0,0 +1,36 @@ +# Reviewed model PR integration + +This integration combines PRs #460 (optional DDGAN conditional energy), #461 +(VAE observation checkpoints and explicit transport admission), and #462 +(independent MisGAN critic histories) with develop after #473 and #474. +The original heads are recorded in [the source binding](source-binding.json). + +All three mechanisms remain explicit and optional. R1/R2 weights and joint +reconstruction from #474 remain available. Direct model-provider calls reject +active objectives that their host cannot execute instead of silently dropping +an objective introduced by another PR. + +## Evidence and execution scope + +The new source bindings authorize future execution against the combined code. +They preserve exact parent task commits, Git blobs, SHA-256 hashes and source +maps. Numeric gates, execution contracts, architectures, data and sampling laws, +initialization, budgets and observation cadence retain their parent declarations. +Previously stale source contracts remain stale; this merge does not readmit them. + +Original research results, readouts, per-PR integration receipts and the MisGAN +v2 contract remain byte-for-byte unchanged. Corrected MisGAN v2 quality is still +unmeasured. Numerical failures and incomplete results remain visible. This +software integration launches no scientific training, regrades no historical +result, grants no qualification and changes no selected recipe or public default. + +## Validation + +Focused controls cover the combined recipe schema, numerical objectives, +unsupported-host refusals, checkpoint replay, exact source ancestry, tampered +sources and preserved evidence. The full repository CI runs on the combined +source before merge. Execution logs remain outside Git under +`/tmp/particlegan-model-pr-integration/` and in GitHub Actions. + +The canonical [technique inventory](../technique-inventory.md) is refreshed from +retained records without rerunning or regrading the archived research. diff --git a/reports/forge/reviewed-pr-integration-20261109/source-binding.json b/reports/forge/reviewed-pr-integration-20261109/source-binding.json new file mode 100644 index 000000000..0072499ef --- /dev/null +++ b/reports/forge/reviewed-pr-integration-20261109/source-binding.json @@ -0,0 +1,715 @@ +{ + "schema": "pr_combined_integration_source_binding_v1", + "pr": "combined", + "date": "2026-11-09", + "develop": "4a5ff6d4db831a23a7c95b5d14ce84ff73dfee06", + "reviewed_heads": { + "460": "5b8c514ba053fa533289ed79752a4a8bf3ab0133", + "461": "77850d36357fb4f6ec9a7c4495da9fa1fd5606b5", + "462": "ea75964cd20ed87e6f7a798e694205594b7e65a9", + "473": "ed04b6b2f93692eaa2bd6ec90a3465e774e45e32", + "474": 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Selected Atlas (`atlas-particle-normal-v4`) pairs the `particles` prior with `NormalNoiseManipulator(sigma=0.0065)` (`standardize=False`), `birth_death_cells=256`, clean fixed output noise (`output_noise_mode='fixed'`, `output_noise_std=0.0`), clock-free critic acquisition (`d_guard_ratio=0.0`, `d_guard_min_steps=0`), and a KA2 pre-anchor critic-only `LossSurprise` reopen guard. Historical particle-cloud incumbents and served/noisy-sampling cohorts remain separate.","Base Atlas differs from E22 through `birth_death_backend='auto'`, `birth_death_cells=128` (`256` in `atlas-particle-normal-v4`, routing `N=256` vector hosts past under-resolved `k=7` kNN turnover) and `reopen_guard='settled'`. Automatic selection is capability/evidence constrained; the configured cell count is a threshold/grid preset, not a promise that every host uses feature cells.","The settled reopen guard suppresses acquisition-time and known-loss-epoch excursions from looking like a moved target, and `atlas-particle-normal-v4` folds critic-only `SettledReopenGuard` witnesses before `ka2_anchor_started` into the calm baseline while preserving post-anchor shift detection. Current KA2 gates its Phase A to blend handover on optimizer second-moment readiness $1-\\beta_2^t<0.55085$ (equivalent to $800$ steps at $\\beta_2=0.999$ without an explicit call-count clock), while archived snapshots retain their original executed source contracts."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Current KA2 gates the Phase A to blend transition by optimizer second-moment readiness $1-\\beta_2^t$ without an explicit step-count clock; at $\\beta_2=0.999$, $1-\\beta_2^t<0.55085$ holds for steps $1\\dots 799$ and the equal blend starts at step $800$ (matching the historical $n<800$ applied-call warmup). Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier. The independent-row preset uses $\\lambda=3$, $\\kappa=1$, $w=1$; game trust and drift evidence also modulate anchor release/tracking.","label":"KA2 second-moment readiness handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&1-\\beta_2^t<0.55085,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&1-\\beta_2^t\\ge0.55085.\\end{cases}"},{"explanation":"This is the stationarity ladder before policy corrections. Displacement tests use scales $b$ and $2b$; mixed or inconclusive evidence enlarges the observation window. Row-evidence holds, critic payoff damping and its relative table-rate floor can modify the applied rate. Optimizer surprise can reopen a ladder; Atlas additionally requires its settled-state guard.","label":"Stationarity learning-rate ladder","latex":"\\eta_j=\\eta_j^{(0)}s_j,\\qquad s_j^{\\mathrm{next}}=\\begin{cases}s_j/2,&\\text{stationary},\\\\\\min(1,2s_j),&\\text{drift},\\\\s_j,&\\text{no accepted rate change}.\\end{cases}"}],"overview":"Atlas extends E22's independent-row policy with automatic selection of a bounded critic-feature birth/death backend and a settled-state guard on surprise reopening. It retains KA2 critic regularization, adaptive per-group stationarity rates, row evidence, and state-selected serving without introducing a new adversarial loss. Selected Atlas (`atlas-particle-normal-v4`) pairs an unstandardized `particles` prior plus `NormalNoiseManipulator(sigma=0.0065)` (`birth_death_cells=256`) with clean fixed output noise (`0.0`), clock-free critic acquisition (`d_guard_ratio=0.0`, `d_guard_min_steps=0`), and a KA2 pre-anchor critic-only `LossSurprise` reopen guard.","pseudocode":["For each training iteration:"," Select a supported feature backend automatically (256 feature cells in selected atlas-particle-normal-v4; 128 in base Atlas)."," Restore the fast training state if the previous inference state used averages."," Set stationarity LRs; permit surprise reopen only when the settled guard (and pre-anchor critic-only filter) admits the excursion."," Damp only the critic's rate using payoff error; retain the policy's floor relative to table motion."," Draw real x and prior z (with additive NormalNoiseManipulator sigma=0.0065 in selected v4); generate detached fake with the declared output-noise law."," Compute the paired critic loss and add KA2 regularization shown above."," g_r and g_f are gradients of the critic with respect to its detached real/fake inputs."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Measure real-input gradient proximity to the critic average; use zero when the anchor first starts."," Use early-only KA2 while optimizer second-moment readiness 1 - beta_2^t < 0.55085 (steps 1..799 at beta_2=0.999), then the equal early/late blend."," Its gradient anchor release/tracking also reads the policy's game-trust and drift evidence."," Backpropagate; apply any configured critic spike guard (disabled in selected v4), take its Adam/AMSGrad step, record surprise."," Freeze D parameters; draw fresh latent rows, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G, latent rows and any learnable output-noise parameter."," Observe row gradients. A2 applies when some rows have zero gradient, cumulative observed fraction < .5, and Adam state exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Apply the policy corrections to statistically flagged hot rows and exclude those rows from settling tests."," Update G/prior; record applied displacements for the next stationarity decision."," Update G/prior averages over the table tester's declared serving window."," Use support evidence to clone/replace eligible particle rows; copy optimizer/history and rebase affected tests."," Serve the averaged state only when the policy's settlement condition allows it; otherwise serve the fast state."," Preserve the declared served sampling noise and state-selection identity in evaluation."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"},{"component":"Related statistical learning-rate adaptation. The repository uses its own displacement tests and policy.","title":"Using Statistics to Automate Stochastic Optimization","url":"https://papers.neurips.cc/paper_files/paper/2019/hash/e1054bf2d703bca1e8fe101d3ac5efcd-Abstract.html"}],"sources":["configs/forge/ideas/atlas-particle-normal-v4.json","configs/forge/ideas/atlas.json","particlegan/priors.py","particlegan/recipes.py","particlegan/policy.py","particlegan/continuous.py","particlegan/feature_policy.py","particlegan/birth_death.py","particlegan/row_evidence.py","particlegan/ka2.py","reports/forge/family-winner-round1/E22_POLICY_READOUT.md","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $t$ is the critic Adam step state with second-moment decay $\\beta_2$ and readiness $1-\\beta_2^t$, $n$ counts applied penalty calls, $W\\in\\{0,1\\}$ releases or restores the anchor, and $\\alpha\\in[0,1]$ is the moment-surprise tracking state. $\\delta$ is critic EMA decay and $\\theta$ the live critic parameters. Moment surprise compares critic gradient RMS with completed Adam second-moment RMS. $j$ indexes optimizer groups, $\\eta_j^{(0)}$ is a group's base LR, $s_j$ its adaptive multiplier and $b$ the stationarity block size in intrinsic time. Intrinsic time accumulates applied LR divided by base LR. Game trust is policy confidence derived from optimizer surprise; drift means statistically detected change in update behavior. KA2 anchors critic input gradients; A2 separately dampens sparse latent-row responses. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"serve_average=$4$ maintains generator/prior averages over four table-tester blocks. The update rate is table LR scale / ($4$ times block size), with the $0.995$ EMA fallback when no tester rate is available. Serving selects fast or averaged state according to settlement evidence; the critic's adaptive gradient anchor is a separate average. A selected feature-cell backend has its own paired-average eligibility check; the recorded backend decides when average serving is valid.","critic_penalty":"KA2 $\\lambda=3$ and $\\kappa=1$, using early real R1/fake RMS caps followed by an equal early/late blend and adaptive critic-gradient anchoring. Current KA2 gates the Phase A to blend handover by optimizer second-moment readiness $1-\\beta_2^t<0.55085$ (matching $800$ steps under $\\beta_2=0.999$ without an explicit step-count clock). The policy modulates anchor release and EMA tracking using its own evidence.","damping_and_guards":"A2 dampens eligible sparse latent-row Adam responses by gradient agreement, with scale $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$ in $[0.5,1]$. It activates only when some rows have zero gradient, cumulative observed-row fraction is below $0.5$, and Adam state exists; missing row history gives scale $1$. RowEvidence identifies unusually inconsistent transport, can hold table LR descent, excludes flagged rows from settling tests and corrects hot-row motion. Birth/death uses real-support evidence in standardized critic features and copies/rebases state after a move. Atlas adds `reopen_guard='settled'`: a surprise excursion must begin after network contraction, with known KA2 loss epochs rebased, and `atlas-particle-normal-v4` folds pre-anchor (`ka2_anchor_started=False`) critic-only `LossSurprise` witnesses into the calm baseline while preserving post-anchor shift detection. Automatic feature selection (`birth_death_cells=256` in selected v4; `128` in base Atlas) chooses a feature-cell, kNN, or population-bypassed path and records the resolved backend.","gradient_clipping":"Selected `atlas-particle-normal-v4` disables the step-gated critic spike guard (`d_guard_ratio=0.0`, `d_guard_min_steps=0`) for clock-free critic acquisition. Base Atlas retains the inherited guard: after $200$ Adam steps, clip each tensor relative to $5$ times its bias-corrected second-moment RMS, using the running maximum denominator under AMSGrad. Row-evidence corrections and A2 modify other responses separately; there is no added fixed global norm clip.","learning_rates":"Base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. No total training horizon drives the LR: per-group two-scale displacement tests halve settled rates, restore rates on drift and enlarge inconclusive observation windows. Surprise detectors can reopen the ladders and restart generator moments when admitted by the settled guard. The critic also receives payoff-error damping; external update/time limits are budgets, not LR schedules.","loss":"Paired relativistic logistic with KA2 input-gradient regularization. Selected `atlas-particle-normal-v4` fixes generated-output noise at zero; base Atlas jointly learns the generated-output noise scale through the generator loss. Caller-owned joint/conditional objectives must explicitly bind their roles and guard contexts.","noise":"Critic-input noise is zero. Selected `atlas-particle-normal-v4` pairs an unstandardized `particles` prior with additive `NormalNoiseManipulator` ($\\sigma=0.0065$) and fixed zero generated-output noise (`output_noise_mode='fixed'`, `output_noise_std=0.0`). Base Atlas uses learnable generated-output noise initialized at standard deviation $0.029$ with a settlement/mobility-dependent floor. 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Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"32315575c55238c99cdea7c6b153ffe82b097ffa7230636f3a8980ca0395f54b","id":"staggered100_14k","task_sha256":"4630e532f304a9c3c3236d1dd514fc7b69a7b98372d25e2bcd4c9e8fd08874db"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.967, mass TV 0.0565 (needs <= 0.06), center RMS (sigma) 0.503 (needs <= 0.2) FAIL, |cov trace bias| 0.0129 (needs <= 0.1), radial KS 0.0563 (needs <= 0.04) FAIL; accuracy score 1.25 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"566c2c10102e44a0bb4165bd5df87ec4","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"as_served","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_14k_policy_cloud_coverage_as_served_v1"},"staggered100_14k_policy_cloud_coverage_v1":{"attempt_id":"d734ab743b054d71a9debbb49b69b6eb","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (clean law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"32315575c55238c99cdea7c6b153ffe82b097ffa7230636f3a8980ca0395f54b","id":"staggered100_14k","task_sha256":"4630e532f304a9c3c3236d1dd514fc7b69a7b98372d25e2bcd4c9e8fd08874db"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.994, mass TV 0.0565 (needs <= 0.06), center RMS (sigma) 0.556 (needs <= 0.2) FAIL, |cov trace bias| 0.861 (needs <= 0.1) FAIL, radial KS 0.473 (needs <= 0.04) FAIL; accuracy score 6.04 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"d734ab743b054d71a9debbb49b69b6eb","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"clean","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_14k_policy_cloud_coverage_v1"},"staggered100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_affine_square_named_v1"},"staggered100_policy_cloud_coverage_as_served_v1":{"attempt_id":"7a6ef4f8dce743b699fc549782e7175f","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (as served law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"b97e8a1a77efa5c71d7ba43817991ac81f9e255d90af975c462b12419e0a03b8","id":"staggered100","task_sha256":"a4b20718512db5cb3193a7a919095651ff179fbc6eea4977b5bc54c1a145541f"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.957, mass TV 0.066 (needs <= 0.06) FAIL, center RMS (sigma) 0.493 (needs <= 0.2) FAIL, |cov trace bias| 0.106 (needs <= 0.1) FAIL, radial KS 0.0922 (needs <= 0.04) FAIL; accuracy score 1.73 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"7a6ef4f8dce743b699fc549782e7175f","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"as_served","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_policy_cloud_coverage_as_served_v1"},"staggered100_policy_cloud_coverage_v1":{"attempt_id":"72db5524ea334572b207c05ca3004660","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (clean law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Canonical E22 uses independent equal-mass ParticlePrior rows. The selected recorded row is historical_incumbent at source 928b485ffbe6e17d79b41d307ae8b6275489b37a; its state-selected/served-noisy evidence does not fill clean/live learned-MoG gates.","Schedule-free LR is narrower than a wholly clock-free algorithm: the KA2 penalty has an applied-call warmup and the statistical policy counts its own observations.","E22's default birth/death backend is kNN, with standardized critic features and an isolation test. The separate e22_routed preset is a different conditional dense-bank adaptation; it must not be substituted for these independent-row receipts."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"The first $799$ applied penalty calls use $A$ alone. Starting at call $800$, the equal blend operates even at constant LR. Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier. The independent-row preset uses $\\lambda=3$, $\\kappa=1$, $w=1$; game trust and drift evidence also modulate anchor release/tracking.","label":"KA2 applied-call handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&n<800,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&n\\ge800.\\end{cases}"},{"explanation":"This is the stationarity ladder before policy corrections. Displacement tests use scales $b$ and $2b$; mixed or inconclusive evidence enlarges the observation window. Row-evidence holds, critic payoff damping and its relative table-rate floor can modify the applied rate. Optimizer surprise can reopen a ladder.","label":"Stationarity learning-rate ladder","latex":"\\eta_j=\\eta_j^{(0)}s_j,\\qquad s_j^{\\mathrm{next}}=\\begin{cases}s_j/2,&\\text{stationary},\\\\\\min(1,2s_j),&\\text{drift},\\\\s_j,&\\text{no accepted rate change}.\\end{cases}"}],"overview":"E22 combines the KA2 critic with a continuous training policy over independent learned particle rows. Statistical displacement tests reduce or restore each optimizer group's learning rate; row evidence can hold suspect transport and birth/death operations replace poorly supported rows. Learned output noise and state-selected averaged serving are part of this formulation. These controls are repository-specific.","pseudocode":["For each training iteration:"," Restore the fast training state if the previous inference state used averages."," Set each group LR from its stationarity ladder; observe optimizer surprise and any eligible reopen event."," Damp only the critic's rate using payoff error; retain the policy's floor relative to table motion."," Draw real x and prior z; generate detached fake with the learned output-noise law."," Compute the paired critic loss and add KA2 regularization shown above."," g_r and g_f are gradients of the critic with respect to its detached real/fake inputs."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Measure real-input gradient proximity to the critic average; use zero when the anchor first starts."," Use the early-only KA2 penalty for calls 1..799, then the equal early/late blend shown above."," Its gradient anchor release/tracking also reads the policy's game-trust and drift evidence."," Backpropagate; apply the Adam-state critic spike guard, take its Adam/AMSGrad step, record surprise."," Freeze D parameters; draw fresh latent rows, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G, latent rows and learned log output-noise sigma."," Observe row gradients. A2 applies when some rows have zero gradient, cumulative observed fraction < .5, and Adam state exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Apply the policy corrections to statistically flagged hot rows and exclude those rows from settling tests."," Update G/prior; record applied displacements for the next stationarity decision."," Update G/prior averages over the table tester's declared serving window."," Use support evidence to clone/replace eligible particle rows; copy optimizer/history and rebase affected tests."," Serve the averaged state only when the policy's settlement condition allows it; otherwise serve the fast state."," Preserve the declared served sampling noise and state-selection identity in evaluation."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"},{"component":"Related statistical learning-rate adaptation. The repository uses its own displacement tests and policy.","title":"Using Statistics to Automate Stochastic Optimization","url":"https://papers.neurips.cc/paper_files/paper/2019/hash/e1054bf2d703bca1e8fe101d3ac5efcd-Abstract.html"}],"sources":["configs/forge/ideas/e22.json","particlegan/recipes.py","particlegan/ka2.py","particlegan/k3p.py","particlegan/policy.py","particlegan/continuous.py","particlegan/row_evidence.py","particlegan/birth_death.py","reports/forge/family-winner-round1/E22_POLICY_READOUT.md","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/policy.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $n$ counts applied penalty calls, $W\\in\\{0,1\\}$ releases or restores the anchor, and $\\alpha\\in[0,1]$ is the moment-surprise tracking state. $\\delta$ is critic EMA decay and $\\theta$ the live critic parameters. Moment surprise compares critic gradient RMS with completed Adam second-moment RMS. $j$ indexes optimizer groups, $\\eta_j^{(0)}$ is a group's base LR, $s_j$ its adaptive multiplier and $b$ the stationarity block size in intrinsic time. Intrinsic time accumulates applied LR divided by base LR. Game trust is policy confidence derived from optimizer surprise; drift means statistically detected change in update behavior. KA2 anchors critic input gradients; A2 separately dampens sparse latent-row responses. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"serve_average=$4$ maintains generator/prior averages over four table-tester blocks. The update rate is table LR scale / ($4$ times block size), with the $0.995$ EMA fallback when no tester rate is available. Serving selects fast or averaged state according to settlement evidence; the critic's adaptive gradient anchor is a separate average.","critic_penalty":"KA2 $\\lambda=3$ and $\\kappa=1$, using early real R1/fake RMS caps followed by an equal early/late blend and adaptive critic-gradient anchoring. The applied-call warmup at $800$ remains, even though the LR controller has no fixed horizon. The policy modulates anchor release and EMA tracking using its own evidence.","damping_and_guards":"A2 dampens eligible sparse latent-row Adam responses by gradient agreement, with scale $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$ in $[0.5,1]$. It activates only when some rows have zero gradient, cumulative observed-row fraction is below $0.5$, and Adam state exists; missing row history gives scale $1$. RowEvidence identifies unusually inconsistent transport, can hold table LR descent, excludes flagged rows from settling tests and corrects hot-row motion. Birth/death uses real-support evidence in standardized critic features and copies/rebases state after a move. These controls require the independent-row policy contract.","gradient_clipping":"The critic spike guard remains: after $200$ Adam steps, clip each tensor relative to $5$ times its bias-corrected second-moment RMS. With AMSGrad it uses the running maximum denominator that Adam will apply. Row-evidence corrections and A2 modify other responses separately; there is no added fixed global norm clip.","learning_rates":"Base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. No total training horizon drives the LR: per-group two-scale displacement tests halve settled rates, restore rates on drift and enlarge inconclusive observation windows. Optimizer surprise can reopen the ladders and restart generator moments. The critic also receives payoff-error damping; external update/time limits are budgets, not LR schedules.","loss":"Paired relativistic logistic with KA2 input-gradient regularization. Scalar GANTrainer jointly learns the generated-output noise scale through the generator loss. Caller-owned joint/conditional objectives must explicitly bind their roles and guard contexts.","noise":"Critic-input noise is zero. Generated-output noise is learnable, initialized at standard deviation $0.029$, with a policy settlement/mobility-dependent floor. DV12 also perturbs latent rows from support statistics. These sampled laws are part of served evidence; a clean diagnostic is a different cohort.","optimizer":"KA2 critic Adam and shared K3P generator/prior Adam, with AMSGrad enabled and $\\beta_1=0$, $\\beta_2=0.999$ in the independent-row preset. 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This is the same soft L2 cap mechanism with stronger and wider settings; K3P handover, critic proximity and optimizer interventions are disabled.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"For scalar hosts that expose this auxiliary, use the unbiased sample covariance of the supplied latent batch. It discourages standard deviations below $1$ and off-diagonal covariance, without requiring a Gaussian topology. Batches with fewer than two rows return zero. Behavioral hosts retain their explicitly bound auxiliary objectives.","label":"Latent spread auxiliary objective","latex":"\\begin{aligned}R_{\\mathrm{prior}}&=\\frac{1}{d_z}\\sum_{a=1}^{d_z}\\left(1-\\sqrt{(\\Sigma_z)_{aa}+10^{-4}}\\right)_+\\\\&\\quad+\\frac{1}{d_z}\\sum_{a\\ne b}(\\Sigma_z)_{ab}^2,\\\\L_G&=\\ell_G+0.05R_{\\mathrm{prior}}.\\end{aligned}"},{"explanation":"Hold each role at its base rate for $60\\%$ of the declared recipe horizon, then decay to a $5\\%$ floor and hold. The reusable task-adapted card resolves $T$ explicitly; the historical native MoG/cloud cards retain $T=7000$. An external execution cap does not redefine the schedule.","label":"Full-horizon learning-rate cosine","latex":"a(q)=\\begin{cases}1,&q\\le0.6,\\\\0.05+\\dfrac{0.95}{2}\\left[1+\\cos\\!\\left(\\pi\\min\\!\\left(1,\\dfrac{q-0.6}{0.4}\\right)\\right)\\right],&q>0.6,\\end{cases}\\qquad \\eta(t)=\\eta^{(0)}a(t/T)."}],"overview":"The released v0.7 GAN v3 family uses paired relativistic logistic loss with a fixed L2 cap on critic input gradients, plus latent spread regularization and a full-horizon cosine LR schedule. Its K3P-derived optimizer wrappers have the spike guard, anchor, A2 and direct-particle gain disabled. Forge's reusable card delegates host resources and auxiliary objectives explicitly; the historical MoG and cloud host cards retain their separate identities.","pseudocode":["For each training iteration:"," Use the resolved task horizon: hold LR through 60%, then cosine-decay toward 5% of its base value."," Draw real x and task-prior z; fake = detach(G(z))."," Compute the paired critic adversarial loss shown above."," g_r = gradient(D(x),x); g_f = gradient(D(fake),fake), using detached input copies."," Add the fixed real/fake input-gradient penalty shown above."," Backpropagate; take the critic Adam step with guard and gradient anchor disabled."," Freeze D parameters; draw fresh z, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic."," On scalar latent-table hosts, add .05 * R_prior to L_G; behavioral hosts retain their original objectives."," Backpropagate; update G/prior with A2 and direct response gain disabled."," Maintain the configured .995 generator/prior EMA where the host implements it."," Score with the frozen task's declared weights, prior and noise law; ordinary gates use clean live outputs."],"references":[{"component":"Base Adam optimizer.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Inspiration for latent variance/covariance regularization; no full VICReg objective is claimed.","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","url":"https://arxiv.org/abs/2105.04906"},{"component":"Related work on one-sided input-gradient penalties. The repository evaluates caps directly on real/fake inputs; it does not reproduce the paper's full training or sampling algorithm.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/release07-gan-v3-task-adapted-v1.json","configs/forge/configurations/release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c.json","experiments/forge/taskrecipes.py","particlegan/grad_regularizers.py","particlegan/k3p.py","particlegan/vicreg_loss.py","particlegan/training.py","reports/forge/RELEASE07_TASK_ADAPTATION_READOUT.md","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $R_{\\mathrm{prior}}$ is the VICReg-inspired latent spread term, $d_z$ the latent dimension, $\\Sigma_z$ the unbiased sample covariance and $\\epsilon=10^{-4}$ the variance stabilizer. $t$ counts completed updates, $T$ is the declared recipe horizon, $q=t/T$, $\\eta^{(0)}$ a base LR and $a(q)$ its multiplier. EMA denotes a parameter exponential moving average.","training_details":{"averaging":"Generator/prior EMA decay $0.995$ is configured where the host implements it; selected ordinary gates use live weights. Behavioral hosts may own no scored EMA or latent table. No critic-gradient anchor average is active.","critic_penalty":"Fixed $\\lambda=6$ and L2 cap $\\kappa=1.25$ on both real and fake samples, applied every step. No RMS normalization, K3P handover or critic-gradient proximity term.","damping_and_guards":"A2, critic spike guard, critic anchor and direct sample-particle gain are all disabled. This distinguishes the full release recipe from a fixed BCap penalty swapped into an otherwise intact K3P recipe.","gradient_clipping":"No critic spike guard or global gradient-norm clipping. The cap penalizes excess critic input-gradient magnitude in the loss; it does not clamp critic parameter gradients or weights.","learning_rates":"Reference base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$; full resolved horizon, $60\\%$ hold followed by cosine decay to $5\\%$, with no separate short network horizon. The current selected whole variant uses $0.006375$ and prior multiplier $1$. Task-adapted fields delegate the horizon explicitly; an external cap does not redefine it.","loss":"Paired relativistic logistic, with the fixed real/fake cap regularizer below. Scalar hosts add the declared $0.05$ latent variance/covariance term; behavioral hosts keep their task-owned reconstruction, conditional or direct-particle objectives.","noise":"No additive critic-input or generated-output training noise. The task's prior still owns its latent sampling noise: learned-MoG and particle-cloud hosts remain distinct. Paired noisy/EMA diagnostics do not replace the required clean/live result.","optimizer":"K3P-derived Adam wrappers selected by the explicit fixed b_cap arm. $\\beta_1=0$, $\\beta_2=0.99$, AMSGrad off; guard, anchor, A2 and direct gain are disabled. Observer bookkeeping remains. This recipe is not selected through optimizer_family='adam', despite having its intervention switches off. Direct sample-particle hosts can retain separately declared response moments even when response gain is disabled; inspect the host binding."}},"historical_only":false,"id":"release07-gan-v3","label":"GAN v3 release 0.7","page":"reports/forge/families/release07-gan-v3.md","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","learning-rate-annealing"]},{"benchmark_configuration":{"candidate_id":"recipe-prior-refactor-k3p-v1","candidate_revision":"e36ba4acdb7f9424db9981ff248e93dfb6f0b256b8a7cf71af713b3a8d7f8e56","cohort":"3c8a0c05c790670661472fd65983563d1f0c1786bc917b8e87635e33f3f49cd9","configuration_family":"k3p","execution_backend":"cuda","family":"k3p","label":"K3P","measurement_views":["discriminator_stability"],"protocol_sha256":"7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2","reason":"Retain the declared selected recipe after explicit prior-ownership migration; fresh ordinary evidence only, no outcome ranking or archived qualification transfer.","recipe_sha256":"3a5d1cc0cf316e849b5d5565975647364b24106c3105850e590a67b116f53ef3","rng_sha256":"cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058","runtime_cohort_sha256":"1bf9d7d344222d41418cbbac14f9b298a4299461c5a62f71c3d11560c18e92aa","scientific_row_sha256":"dedf84c53433de3109f1f5cf0c163cf9ed1a18b94cb17243c76e5e2d9082a097","selection_kind":"current_measurement","source_digest":"a5eafc73e4c4a995cc388b9be00bea5aec289fd35863099e369008e7def0ab14","task_keys_sha256":"77143e484aabcf6126934e1c99ff7b5cc6e78c3c05f9f138e9ac3f1bd36828e0","trainer_family":"k3p"},"cohorts":[{"anchor":"cohort-cuda-1bf9d7d34422","backend":"cuda","row_index":5,"scoped_publications":[],"scoped_views":[{"id":"lazy_cadence_coverage","revision":1,"tiers":{"1":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},{"id":"tier1_policy_coverage","revision":1,"tiers":{"1":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7}}],"tasks":{"ae_gan_hold":{"attempt_id":"51b38d42e6154a828b7683de6279448b","changed_contract_fields":["evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: evaluation (gates or sampling law). 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","The current selected candidate is k3p--0b37e98a01e3cc7c0f4b3325b43f9e6d569de81e4f890f20942f0fc33221305c, recorded at source 928b485ffbe6e17d79b41d307ae8b6275489b37a. Its .006375 rate and prior multiplier 1 differ from the canonical public defaults.","The critic's EMA anchor is a training regularizer; the generator/prior EMA is a separate optional evaluation state. Neither supplies another configuration's gate credit."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. 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Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"K3P couples a changing critic penalty to the critic's applied learning rate. At high rates it suppresses real-data input gradients and caps fake gradients; as the rate falls it adds real/fake caps and pulls the critic's input gradients toward an averaged critic. Its Adam wrappers also limit critic gradient spikes and damp inconsistent updates to sparsely sampled latent rows. These extra rules are repository-specific.","pseudocode":["For each training iteration:"," Set role-specific learning rates and noise from the resolved recipe or policy."," Draw real x and latent z; fake = detach(G(z) + generated-output training noise)."," Dn(u) evaluates D(u + fresh critic-input noise on each forward); D_bar_n uses the same noise law with fresh draws."," Compute the paired critic adversarial loss shown above."," g_r = gradient(Dn(x), x); g_f = gradient(Dn(fake), fake), using detached input copies."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," r = last applied critic LR / largest recorded critic LR; f = resolved network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1:"," When the anchor first becomes active, copy D into D_bar and set proximity = 0 for that call."," On later blended calls, measure real-input gradient proximity to the noise-wrapped critic average."," Add the early/late blended penalty shown above using the active anchor weight."," At s=1 evaluate A alone; no anchor is evaluated or started."," Lazy cadence k applies the penalty every k-th step at k times its declared strength."," Backpropagate L_D; apply the critic spike guard, then take the critic Adam step and update its record/anchor."," Freeze D parameters; draw a fresh latent batch and recompute fake and both critic scores."," Compute the paired generator adversarial loss from the updated critic."," Backpropagate L_G through G and the learned prior."," For an eligible sparse latent table with existing Adam state: if some rows received no gradient and"," cumulative observed-row fraction < max_rate, multiply each row's Adam response by rho."," Use the A2 cosine-agreement multiplier shown above; without row history use an unchanged response."," Apply direct sample-particle response gain only when the host explicitly binds that separate parameter group."," Take the generator/prior Adam step; maintain configured averages; score with the task's declared law."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p.json","configs/forge/configurations/k3p--0b37e98a01e3cc7c0f4b3325b43f9e6d569de81e4f890f20942f0fc33221305c.json","particlegan/recipes.py","particlegan/grad_regularizers.py","particlegan/k3p.py","particlegan/gan_loss.py","particlegan/policy.py","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/k3p.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"The critic anchor starts at the first blended penalty call, then its parameter EMA has decay $0.999$. Generator/prior averaging is configured at $0.995$ where the host implements it; selected ordinary gates use live weights, not an automatic EMA score.","critic_penalty":"$\\lambda=1$ and $\\kappa=1$ in the public/selected base. $A$ uses RMS input-gradient units: real squared norm divided by $d$ and fake excess norm divided by $\\sqrt d$. The late term adds L2 caps $B_{\\mathrm{cap}}$ to weighted dimension-normalized proximity $wP_{\\mathrm{anchor}}$. The applied critic LR controls their handover; constant LR keeps $A$ active.","damping_and_guards":"A2 is sparse latent-row damping, with $\\rho_i$ in $[0.5,1]$ and $\\texttt{max\\_rate}=0.5$. It changes the row's Adam response while preserving the raw second-moment update. Nonstandardized row-local priors can expose this hook; standardized or unsupported hosts cannot. Direct sample-particle gain is a separate host-bound rule, up to $2$ times LR when centered gradients agree.","gradient_clipping":"The spike guard is adaptive per-tensor clipping: after $200$ prior Adam steps, scale a critic tensor's gradient down when its RMS exceeds $5$ times the RMS predicted by Adam's bias-corrected second moment. It is separate from the input-gradient loss. The family adds no fixed global norm clip.","learning_rates":"The public base rate is $0.00425$, critic multiplier $1$ and latent-prior multiplier $2$. The selected whole configuration uses $0.006375$ and prior multiplier $1$. $G$ and $D$ hold through $60\\%$ of min(resolved task horizon,$1600$), then cosine-decay to $1\\%$; the prior follows its full resolved horizon to $5\\%$. Hosts may explicitly bind another horizon or transition.","loss":"Paired relativistic logistic on raw scores: $D$ minimizes $\\mathbb E[\\operatorname{softplus}(C(y)-C(x))]$; $G$ reverses the difference. Input noise wraps the critic in both losses and the penalty; fresh noise is drawn per forward. Joint and auxiliary losses are host-owned.","noise":"Base critic-input standard deviation $0.5$ decreases linearly to zero over the first $10\\%$ of the resolved horizon. Generated-output training noise rises from zero to $0.029$ over its first $20\\%$. Latent MoG sampling noise is task-owned. Clean gates remove generated-output noise according to their declared sampling law.","optimizer":"K3PCriticAdam and K3PGeneratorAdam wrap PyTorch Adam. Selected moments are $\\beta_1=0$, $\\beta_2=0.999$, AMSGrad off. The wrappers include critic observation/anchor updates, spike guarding, eligible A2 and optional direct-particle response."}},"historical_only":false,"id":"k3p","label":"K3P","page":"reports/forge/families/k3p.md","tags":["adversarial-training","critic-gradient-penalty","optimizer-interventions"]},{"benchmark_configuration":{"candidate_id":"recipe-prior-refactor-ka2-v1","candidate_revision":"cc3bec6763cfcdc5236ac8eb61f6dd2d952e84790322fad0bc05622f4f0a5e98","cohort":"fb4738652dc8d2b6422834280f906b48f823123d0c0f7af8edef630b74798600","configuration_family":"ka2","execution_backend":"cuda","family":"ka2","label":"KA2","measurement_views":["discriminator_stability"],"protocol_sha256":"7b975bab8008c880a88e04d9e9bbdf4d1ab549d46d1d894b9e42369fdc0931b2","reason":"Retain the declared selected recipe after explicit prior-ownership migration; fresh ordinary evidence only, no outcome ranking or archived qualification transfer.","recipe_sha256":"a504666a19b6c5ae0d009ffa2e928398a572dea89431e197e49b13621947333c","rng_sha256":"cea6f009971f61082ee9e2dd249e5902547c670251df827f1e7984315fe75058","runtime_cohort_sha256":"1bf9d7d344222d41418cbbac14f9b298a4299461c5a62f71c3d11560c18e92aa","scientific_row_sha256":"ca801fd447fad45af6efbdf9338cf94bbf2eec311071887376add041202267e7","selection_kind":"current_measurement","source_digest":"a5eafc73e4c4a995cc388b9be00bea5aec289fd35863099e369008e7def0ab14","task_keys_sha256":"3019c2ebdc23650474e4cbbec661dc8c7422c4f7f9436d6a6d4102004aca78a6","trainer_family":"ka2"},"cohorts":[{"anchor":"cohort-cuda-1bf9d7d34422","backend":"cuda","row_index":6,"scoped_publications":[],"scoped_views":[{"id":"lazy_cadence_coverage","revision":1,"tiers":{"1":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},{"id":"tier1_policy_coverage","revision":1,"tiers":{"1":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7}}],"tasks":{"ae_gan_hold":{"attempt_id":"df10c2bc3cc84cd19029a0e2b24ce4e4","changed_contract_fields":["evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: evaluation (gates or sampling law). 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Selected ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f at source 928b485ffbe6e17d79b41d307ae8b6275489b37a uses base LR .006375 and prior multiplier 1, versus public defaults .00425 and 2.","KA2's controller is independent of LR; it still has a fixed applied-call warmup. Its ordinary recipe also retains explicit LR/noise schedules. This should not be described as an entirely clock-free formulation."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"The first $799$ applied penalty calls use $A$ alone. Starting at call $800$, the equal blend operates even at constant LR. Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier.","label":"KA2 applied-call handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&n<800,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&n\\ge800.\\end{cases}"},{"explanation":"After the critic Adam step, the controller records surprise and updates the started anchor using its last penalty-call tracking decision. Here $\\delta_t\\in[0.9,1]$: calm tracking can freeze the average, while surprise speeds it up. First activation and sustained-surprise reseeding copy the live critic instead of taking this ordinary EMA update.","label":"KA2 adaptive critic average","latex":"\\delta_t=1-0.1\\alpha_t,\\qquad \\bar\\theta_t=\\delta_t\\bar\\theta_{t-1}+(1-\\delta_t)\\theta_t."}],"overview":"KA2 replaces K3P's learning-rate-driven handover with a critic-local controller. It uses the early penalty for 799 applied calls, then mixes early and late penalties equally. Adam moment surprise releases or restores the critic-gradient anchor and controls how quickly its averaged critic follows the live critic. It shares K3P's spike guard and eligible sparse latent-row damping.","pseudocode":["For each training iteration:"," Set role-specific learning rates and noise from the resolved recipe or policy."," Draw real x and latent z; fake = detach(G(z) + generated-output training noise)."," Dn(u) evaluates D(u + fresh critic-input noise on each forward); D_bar_n uses the same noise law with fresh draws."," Compute the paired critic adversarial loss shown above."," g_r = gradient(Dn(x), x); g_f = gradient(Dn(fake), fake), using detached input copies."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Increment the applied penalty-call counter; lazy skips do not advance it."," Calls 1..799: apply the early term A only."," From call 800:"," When the anchor first becomes active, copy D into D_bar and set proximity = 0 for that call."," On later blended calls, measure real-input gradient proximity to the noise-wrapped critic average."," ratio = recent median critic moment surprise / its initial reference median."," Release W to 0 when ratio > 3; restore W to 1 when ratio < 1.75."," Use the equal early/late KA2 blend with the current anchor release weight."," Add penalty every configured k-th step, multiplying its strength by k for lazy application."," Backpropagate L_D; apply the critic spike guard, then take the critic Adam step."," After Adam, record moment surprise; update/reseed the critic EMA using the last penalty-call tracking decision."," Freeze D parameters; draw a fresh latent batch and recompute fake and both critic scores."," Compute the paired generator adversarial loss from the updated critic."," Backpropagate L_G through G and the learned prior."," For an eligible sparse latent table with existing Adam state: if some rows received no gradient and"," cumulative observed-row fraction < max_rate, multiply each row's Adam response by rho."," Use the A2 cosine-agreement multiplier shown above; without row history use an unchanged response."," Apply direct sample-particle response gain only when the host explicitly binds that separate parameter group."," Take the generator/prior Adam step; maintain configured averages; score with the task's declared law."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/ka2.json","configs/forge/configurations/ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f.json","particlegan/recipes.py","particlegan/ka2.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/policy.py","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/ka2.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. 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pseudocode describes the family mechanism; the selected configuration and each task determine architectures, initialization, prior, sampling, update count and task-owned auxiliary losses.","The cap is a soft penalty on gradients with respect to critic inputs, not a hard bound on model-parameter gradients. Its L2 norm is not divided by input dimension.","Configuration alternatives are complete recipes; passing cells from different recipes or sources are not combined.","BCAP with K3P combines the fixed cap penalty with the additional K3P training mechanisms. It is a separate formulation from BCAP; optimizer and hyperparameter choices within BCAP remain configurations.","Canonical values describe the reusable baseline. Selected historical configurations can change penalty coefficient and role rates; source-bound measurement receipts remain authoritative.","The declared A2 capability may be blocked on an incompatible host; do not infer that damping ran merely from the family name."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The cap is a soft loss penalty on real and fake critic input-gradient norms, without division by input dimension. It does not directly clip critic parameter gradients or weights. The canonical BCAP cards use $\\lambda=1$ and $\\kappa=1$; source-bound selected recipes may differ.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"},{"explanation":"This clipping rule applies per critic tensor only after its Adam history reaches the declared warmup (baseline $\\tau_{\\min}=200$ steps). $g_p$ is its parameter gradient, $v_p$ the stored second moment, $\\tau_p$ its Adam step count and $c_{\\mathrm{guard}}=5$ the baseline threshold. With AMSGrad use its stored running maximum. Before warmup the guard leaves gradients unchanged.","label":"Adam-state critic spike guard","latex":"\\begin{aligned}v_p^{\\mathrm{RMS}}&=\\frac{\\operatorname{mean}(v_p)}{1-\\beta_2^{\\tau_p}},\\\\u_p&=\\frac{\\operatorname{RMS}(g_p)}{\\sqrt{\\max(v_p^{\\mathrm{RMS}},10^{-30})}},\\\\g_p^{\\mathrm{guarded}}&=\\begin{cases}\\dfrac{c_{\\mathrm{guard}}}{u_p}g_p,&\\tau_p\\ge\\tau_{\\min}\\text{ and }u_p>c_{\\mathrm{guard}},\\\\g_p,&\\text{otherwise}.\\end{cases}\\end{aligned}"}],"illustration":{"alt":"Real and generated samples share a critic; a soft penalty discourages excessive input-gradient slopes and adds to the critic loss.","caption":"Conceptual illustration of the BCAP critic-loss mechanism, not measured training results. Generator/prior updates and K3P optimizer controls are described below.","path":"reports/forge/families/assets/bcap-explainer.png"},"overview":"BCAP with K3P replaces the K3P critic penalty with the fixed BCAP real/fake gradient cap, while retaining the K3P training machinery. It therefore combines a simple cap loss with scheduled learning rates, a critic gradient-spike guard, sparse latent-row damping and the declared training noise.","pseudocode":["For each training update:"," Apply the declared split cosine learning-rate schedules to network and prior parameter groups."," Wrap D so each forward adds fresh scheduled critic-input noise."," Sample real x and latent z; form fake y=G(z) with declared generated-output training noise."," Critic objective = mean softplus(D(stop_gradient(y))-D(x)) + BCAP."," Compute BCAP from the real and fake input-gradient norms using the coefficient and cap shown above."," For penalty derivatives, detach samples from G and treat them as differentiable critic inputs; the penalty updates D only."," Backpropagate; after the guard warmup, shrink each critic tensor\u2019s gradient if its RMS exceeds the configured multiple of Adam\u2019s historical RMS."," Take the K3P critic Adam step. The BCAP penalty does not use K3P\u2019s early/late penalty blend or EMA anchor."," With D fixed, resample latent z and recompute differentiable fake y and both critic scores."," Generator objective = mean softplus(D(x)-D(y)) + task-owned auxiliary losses; backpropagate."," A2 is active only for an eligible latent table when some rows have zero gradient and the cumulative observed-row fraction is below its configured threshold."," With Adam history, scale each active row response using A2 gradient agreement; rows without history stay unchanged."," Take the K3P generator/prior Adam step; direct sample-particle hosts may use their declared coherent-gradient response gain."],"references":[{"component":"Base optimizer. Repository-specific guards and damping are separate mechanisms.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic logistic objective; this implementation pairs scores, rather than subtracting batch-average scores.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on one-sided gradient penalties. The repository BCAP kernel uses real/fake inputs directly and is not a reproduction of this paper or its sampling scheme.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/k3p-bcap-matched-v1.json","configs/forge/searches/bcap-tier1-refresh-v1.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history. For the separate spike guard, $g_p$ is a critic parameter gradient, $v_p$ its Adam second moment, $\\tau_p$ its stored step count and $c_{\\mathrm{guard}}$ its threshold.","training_details":{"averaging":"Canonical generator EMA decay=$0.995$ may be maintained by the host, but the card declares live-weight scoring. Fixed BCAP bypasses critic-anchor evaluation, even if an EMA critic copy exists in optimizer state.","critic_penalty":"Fixed BCAP real/fake squared one-sided L2 cap; canonical $\\lambda=1$ and $\\kappa=1$, every update. The historical search includes $\\lambda=0.5$ alternatives. K3P\u2019s LR-dependent penalty handover and EMA-anchor penalty are bypassed by reg_arm=b_cap.","damping_and_guards":"A2 requires an eligible sparse learnable latent table, some zero-gradient rows on the current update, and cumulative observed-row fraction below latent_damping_max_rate (canonical $0.5$). When Adam state and row history exist, it scales the row response by $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$, within $[0.5,1]$; rows without history use $1$. Adam\u2019s second moment still tracks the raw gradient. 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Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"Only A2 latent-row damping is disabled. Critic guarding, the gradient anchor and any separately eligible direct-particle gain remain. This identity describes the A2 hook, not a removal of all optimizer interventions.","label":"A2 damping removed","latex":"\\rho_i=1,\\qquad \\Delta z_i=\\Delta z_i^{\\mathrm{Adam}}."}],"overview":"K3P without A2 disables the extra damping of sparsely visited learned latent rows. Normally A2 reduces a row's Adam response when its current gradient disagrees with its previous observed gradient. With A2 disabled, the latent rows use the ordinary inherited Adam response. The critic penalty, spike guard, schedules and training noise remain.","pseudocode":["Start from the K3P recipe and apply: latent_row_damping = disabled","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); add generated-output training noise to fake."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1 first occurs, copy D into D_bar and set proximal_term = 0; subsequently use"," Measure dimension-normalized real-gradient proximity and multiply by the configured anchor weight."," Combine the late real/fake cap term with the active proximal term."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Once the anchor has started, update its declared critic parameter EMA after each critic step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," Update learned latent rows without A2 damping."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p-a2-off-native-diagnostic.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $\\rho_i$ is the A2 row-response multiplier and $\\Delta z_i$ the corresponding latent update.","training_details":{"averaging":"The critic anchor and optional generator/prior moving averages remain. Gates use their recorded serving law, generally live weights rather than generator EMA.","critic_penalty":"Enabled: learning-rate-dependent K3P blend of early real-gradient regularization/fake caps and late real/fake caps plus a critic-gradient anchor. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 is disabled by $\\texttt{latent\\_damping\\_max\\_rate}=0$. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior.","gradient_clipping":"Adaptive per-tensor critic gradient scaling remains via the spike guard; it is clipping-like and uses Adam second-moment history rather than a fixed global norm threshold. No generic global gradient-norm clipping is added by this candidate. 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Setting $w=0$ removes critic-gradient proximity and bypasses anchor evaluation; the separate generator/prior averages can remain.","label":"Early and capped terms; anchor removed","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\w&=0,\\qquad P_{\\mathrm{anchor}}=0.\\end{aligned}"},{"explanation":"The learning-rate handover remains, but has no anchor term. Before the first critic step, $s=1$. Lazy cadence $k$ applies $kR$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R&=\\frac{\\lambda}{2}\\left[sA+(1-s)B_{\\mathrm{cap}}\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"K3P without critic anchor removes the penalty that pulls the live critic's input gradients toward a moving average of the critic. Its early real-gradient penalty and fake-gradient cap remain; the later real/fake caps also remain. It tests the anchor itself, while keeping the inherited optimizer controls and training noise.","pseudocode":["Start from the K3P recipe and apply: anchor_weight = 0; proximal_term = 0","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); add generated-output training noise to fake."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," proximal_term = 0."," Combine the late real/fake cap term with the active proximal term."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," If some latent rows have zero gradient, the cumulative observed-row fraction is below max_rate, and Adam history exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Otherwise leave the latent-row Adam response unchanged."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/forge-onboarding-anchor-ablation.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"No critic-anchor contribution. The ordinary generator/prior exponential moving averages can still be maintained; recorded gates use the declared live weights.","critic_penalty":"Enabled K3P real/fake gradient regularization, with the anchor contribution set to zero. The early RMS-scaled and late L2-scaled phases still follow the critic learning-rate ratio. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 acts only on eligible sparse latent rows: responses are scaled within $[0.5,1]$ according to consecutive gradient agreement, while Adam's second moment still tracks the raw gradient. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior. A2 activates only when some rows have zero gradient, the cumulative observed-row fraction is below the configured max_rate (baseline $0.5$), and Adam state exists; missing row history gives scale $1$.","gradient_clipping":"Adaptive per-tensor critic gradient scaling remains via the spike guard; it is clipping-like and uses Adam second-moment history rather than a fixed global norm threshold. No generic global gradient-norm clipping is added by this candidate. Input-gradient penalties regularize the objective separately.","learning_rates":"Inherited scheduled training. $G$ and $D$ use the network cosine schedule, capped at a configured horizon; the learned prior uses its full-budget cosine schedule. In the public baseline, rates hold through $60\\%$ of their horizon before decaying to their floors. Resolved recorded configurations own exact rates and horizons.","loss":"Paired relativistic logistic by default: critic $\\mathbb E[\\operatorname{softplus}(C(y)-C(x))]$; generator reverses that score difference. Task-owned joint or reconstruction terms remain separate.","noise":"Inherited scheduled critic-input noise and generated-output training noise. Prior sampling noise belongs to the task. Public clean sampling does not automatically include the generated-output training noise. Critic-input noise is independently drawn on each forward of the wrapped critic, including gradient-penalty evaluation.","optimizer":"Inherited K3P Adam wrappers for critic and generator/prior, with recipe-specific moments and per-role rates. This ablation does not switch to native Adam without interventions."}},"historical_only":true,"id":"k3p-no-anchor","label":"K3P without critic anchor","page":"reports/forge/families/k3p-no-anchor.md","tags":["adversarial-training","critic-gradient-penalty","optimizer-interventions","structural-ablation"]},{"cohorts":[{"anchor":"cohort-cuda-c195899a64af","backend":"cuda","row_index":37,"scoped_publications":[],"scoped_views":[{"id":"lazy_cadence_coverage","revision":1,"tiers":{"1":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},{"id":"tier1_policy_coverage","revision":1,"tiers":{"1":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7},"2":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"3":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0},"4":{"counts":{},"incompatible":0,"incomplete":false,"not_run":0,"passed":0,"total":0}},"total":{"counts":{"UNKNOWN":7},"incompatible":0,"incomplete":true,"not_run":7,"passed":0,"total":7}}],"tasks":{"ae_gan_hold":{"attempt_id":"b1b7e305c18e4d17803724f1fd86292b","changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). 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Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"This ablation removes all input-gradient and anchor loss contributions. The inherited K3P Adam wrappers, spike guard, eligible A2 and host-bound direct-particle controls remain; this is not a switch to native Adam.","label":"Removed critic penalty","latex":"\\lambda=0,\\qquad R=0,\\qquad L_D=\\ell_D."},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"},{"explanation":"This clipping rule applies per critic tensor only after its Adam history reaches the declared warmup (baseline $\\tau_{\\min}=200$ steps). $g_p$ is its parameter gradient, $v_p$ the stored second moment, $\\tau_p$ its Adam step count and $c_{\\mathrm{guard}}=5$ the baseline threshold. With AMSGrad use its stored running maximum. 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candidate makes one named mechanism removal; it does not replace task priors, initialization, training budgets, or numerical criteria.","Settings above describe the declared ablation and public K3P baseline. Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"Despite its broad historical family label, this variant removes only additive noise on generated outputs in the discriminator and generator training objectives. It retains critic-input noise and any noise intrinsic to the task's prior. The critic penalty, optimizer controls and learning-rate schedules remain. Clean public sampling was already separate from noisy training.","pseudocode":["Start from the K3P recipe and apply: generated_output_noise_std = 0","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); do not add generated-output noise."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1 first occurs, copy D into D_bar and set proximal_term = 0; subsequently use"," Measure dimension-normalized real-gradient proximity and multiply by the configured anchor weight."," Combine the late real/fake cap term with the active proximal term."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Once the anchor has started, update its declared critic parameter EMA after each critic step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," If some latent rows have zero gradient, the cumulative observed-row fraction is below max_rate, and Adam history exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Otherwise leave the latent-row Adam response unchanged."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p-no-output-noise-diagnostic.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history. Generated-output training noise is zero in this ablation; scheduled critic-input noise and task-prior sampling noise remain.","training_details":{"averaging":"The critic anchor and optional generator/prior moving averages remain. Live clean scoring stays separate from averaging and from any separately declared noisy evaluation.","critic_penalty":"Enabled: learning-rate-dependent K3P blend of early real-gradient regularization/fake caps and late real/fake caps plus a critic-gradient anchor. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 acts only on eligible sparse latent rows: responses are scaled within $[0.5,1]$ according to consecutive gradient agreement, while Adam's second moment still tracks the raw gradient. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior. 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Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification; residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"The conditional residual objective directly enumerates prior.z; stochastic latent sampling needs a separately calibrated task.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"public_recipe_schedule","sampling_contract_version":1,"sampling_law":"conditional_prior_centers_with_scheduled_output_noise","scoring_weights":"live"}},"recorded_contract":"a5e950ae96f137f52d5226d3d7083d02f2e27f3df692f99191a83c8e0272aa14","status":"BLOCKED","task_id":"residual_student"},"ring16_acquisition":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"74a870f9e1a1c030d8e564ba5359bf510701fddbfb8349c5cedacf430adbd8d8","status":"BLOCKED","task_id":"ring16_acquisition"},"ring16_acquisition_tier1_policy_selected_cloud_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":{"evaluation_fingerprint":"b361c512f05ebb898fcf5ab3386ad47cfa87f8fc6c56a3f14b90bc979083d433","execution_fingerprint":"91325802a2cd0d09a3066e24a716f01d8d851802c23bb73784aec8994eadf996","id":"ring16_acquisition","task_sha256":"e6b53ba29fbe9ead47e842cfa01e40ba57821bd1b4e6aa5b297631fa0f6525c1"},"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"ring16_acquisition_tier1_policy_selected_cloud_v1"},"ring16_bigan_continuous":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"ring16_bigan_continuous"},"ring_extension":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"8c9aed1790a62f1c56f82b437af931eb36429cb4c65d221ddf99f3288abf2a9d","status":"BLOCKED","task_id":"ring_extension"},"ring_hold":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"2927fdc4673adae94155972b3dbea0347e0ae2853337491d17407db2d5bac77a","status":"BLOCKED","task_id":"ring_hold"},"rotated100":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"d19eed7779a32b4cc43ba268ccd3a7b97e9653cfa00f29e547f221f9801aa1d4","status":"BLOCKED","task_id":"rotated100"},"rotated100_14k":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"rotated100_14k"},"rotated100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"rotated100_affine_square_named_v1"},"staggered100":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"ae16607a46bd3da9bb27236cbb355ad71fb270f6a5844b6ecdcf8e8e869e655e","status":"BLOCKED","task_id":"staggered100"},"staggered100_14k":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_14k"},"staggered100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_affine_square_named_v1"},"target_shift_recovery":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"target_shift_recovery"},"trajectory":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification; trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"The conditional host enumerates prior.z in its identity objective; a stochastic latent read changes the frozen host law.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"public_recipe_schedule","sampling_contract_version":1,"sampling_law":"conditional_prior_centers_with_scheduled_output_noise","scoring_weights":"live"}},"recorded_contract":"622267e7c915be6125ba22c71838b45e8bf320854673a104d2d3eca27f236678","status":"BLOCKED","task_id":"trajectory"},"two_pole":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification; two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"This host optimizes explicit sample-particle coordinates directly, without a separate generator or latent sampling kernel.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"not_applied_to_measurement","sampling_contract_version":1,"sampling_law":"learned_particles_and_critic_gradient","scoring_weights":"live"}},"recorded_contract":"9fd20b26b1cc4a3d3e21e4295b606b4ccfc118325f54a0bc8897a5af71a9445d","status":"BLOCKED","task_id":"two_pole"},"two_pole_800_schedule800_diagnostic_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_800_schedule800_diagnostic_v1"},"two_pole_800_schedule80_diagnostic_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_800_schedule80_diagnostic_v1"},"two_pole_tier1_policy_selected_cloud_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":{"evaluation_fingerprint":"cffa9a9722e4ca72028aa9b4cb8ae0dc119746f08581f2e6d8eae65690c562c1","execution_fingerprint":"3d15ff9d4ae9428d07dbf539db15e5783f55ef08b9ec9a90db678b91ea701f83","id":"two_pole","task_sha256":"55ac2d3883ba6c173da304fa7f10648a0b559c202fc35b451b1d0c8870f61cf5"},"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_tier1_policy_selected_cloud_v1"},"unipolar":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"Deterministic student residual controls are parameter clouds, not draws from a sampled latent prior.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"not_applied_to_measurement","sampling_contract_version":1,"sampling_law":"learned_parameter_measurement","scoring_weights":"live"}},"recorded_contract":"f979816d53fbdd238c921ce69d4e157505ef4889edd1cc9f639b9a4be6ecc98b","status":"BLOCKED","task_id":"unipolar"},"unused_token_hold":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"unused_token_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'model' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Historical candidate release07-gan-v3-cloud-v1 is retained at source 2899099048c0a9987eb8720214abfce56d86d92a. Its card fixes z_dim=4, batch_size=256, 20000 rows and a 7000-step reference horizon.","grid100_release07_cloud_named_v1 explicitly binds a particle cloud and a named z4 MLP host with Xavier-uniform/zero-bias network initialization. This is separate from the generic ordinary-view MoG bindings appearing in historical inventory projections.","The native cloud diagnostic retains its own clean/live sampling, full update budget and numerical gates. Its failure or any separate historical served/noisy success transfers no learned-MoG or current-family credit."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The full release recipe fixes $\\lambda=6$ and $\\kappa=1.25$, applied every critic update. This is the same soft L2 cap mechanism with stronger and wider settings; K3P handover, critic proximity and optimizer interventions are disabled.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"For scalar hosts that expose this auxiliary, use the unbiased sample covariance of the supplied latent batch. It discourages standard deviations below $1$ and off-diagonal covariance, without requiring a Gaussian topology. Batches with fewer than two rows return zero. Behavioral hosts retain their explicitly bound auxiliary objectives.","label":"Latent spread auxiliary objective","latex":"\\begin{aligned}R_{\\mathrm{prior}}&=\\frac{1}{d_z}\\sum_{a=1}^{d_z}\\left(1-\\sqrt{(\\Sigma_z)_{aa}+10^{-4}}\\right)_+\\\\&\\quad+\\frac{1}{d_z}\\sum_{a\\ne b}(\\Sigma_z)_{ab}^2,\\\\L_G&=\\ell_G+0.05R_{\\mathrm{prior}}.\\end{aligned}"},{"explanation":"Hold each role at its base rate for $60\\%$ of the declared recipe horizon, then decay to a $5\\%$ floor and hold. The reusable task-adapted card resolves $T$ explicitly; the historical native MoG/cloud cards retain $T=7000$. An external execution cap does not redefine the schedule.","label":"Full-horizon learning-rate cosine","latex":"a(q)=\\begin{cases}1,&q\\le0.6,\\\\0.05+\\dfrac{0.95}{2}\\left[1+\\cos\\!\\left(\\pi\\min\\!\\left(1,\\dfrac{q-0.6}{0.4}\\right)\\right)\\right],&q>0.6,\\end{cases}\\qquad \\eta(t)=\\eta^{(0)}a(t/T)."}],"overview":"This historical entry retains the full v0.7 GAN v3 recipe on its explicit native particle-cloud diagnostic: latent dimension 4, batch 256 and an unstandardized learned ParticlePrior. Fixed real/fake input-gradient caps and latent spread regularization remain. The cloud sampling and named MLP initialization are experiment-owned and cannot be treated as the learned-MoG cohort.","pseudocode":["For each training iteration:"," Use the historical 7000-step recipe horizon: hold LR through 60%, then cosine-decay toward 5% of its base value."," Draw real x and task-prior z; fake = detach(G(z))."," Compute the paired critic adversarial loss shown above."," g_r = gradient(D(x),x); g_f = gradient(D(fake),fake), using detached input copies."," Add the fixed real/fake input-gradient penalty shown above."," Backpropagate; take the critic Adam step with guard and gradient anchor disabled."," Freeze D parameters; draw fresh z, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic."," On scalar latent-table hosts, add .05 * R_prior to L_G; behavioral hosts retain their original objectives."," Backpropagate; update G/prior with A2 and direct response gain disabled."," Maintain the configured .995 generator/prior EMA where the host implements it."," Score with the frozen task's declared weights, prior and noise law; ordinary gates use clean live outputs."],"references":[{"component":"Base Adam optimizer.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Inspiration for latent variance/covariance regularization; no full VICReg objective is claimed.","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","url":"https://arxiv.org/abs/2105.04906"},{"component":"Related work on one-sided input-gradient penalties. The repository evaluates caps directly on real/fake inputs; it does not reproduce the paper's full training or sampling algorithm.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/release07-gan-v3-cloud-v1.json","configs/forge/tasks/grid100_release07_cloud_named_v1.json","configs/toy100/release07_public_default_host.json","reports/forge/studies/FORMULATION_COMPARISON_CONTINUATION.md","particlegan/grad_regularizers.py","particlegan/vicreg_loss.py","https://github.com/255BITS/ParticleGAN/blob/2899099048c0a9987eb8720214abfce56d86d92a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $R_{\\mathrm{prior}}$ is the VICReg-inspired latent spread term, $d_z$ the latent dimension, $\\Sigma_z$ the unbiased sample covariance and $\\epsilon=10^{-4}$ the variance stabilizer. $t$ counts completed updates, $T$ is the declared recipe horizon, $q=t/T$, $\\eta^{(0)}$ a base LR and $a(q)$ its multiplier. EMA denotes a parameter exponential moving average.","training_details":{"averaging":"Generator/prior EMA decay $0.995$ is configured where the host implements it; selected ordinary gates use live weights. Behavioral hosts may own no scored EMA or latent table. 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","The retained selected variant is release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c at historical source 2899099048c0a9987eb8720214abfce56d86d92a. It uses LR .006375 and prior multiplier 1; the original native card used .00425 and multiplier 2.","The historical reference fixes z_dim=2, batch_size=2048 and 7000-step recipe horizon. Its learned-MoG binding records sigma .025 and standardize=false; task initialization and affine native host remain part of the experiment.","The original native card's fixed resource fields were incompatible with behavioral toy hosts. A later explicit task-adapted successor delegates those fields; that successor does not rewrite this historical evidence."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The full release recipe fixes $\\lambda=6$ and $\\kappa=1.25$, applied every critic update. This is the same soft L2 cap mechanism with stronger and wider settings; K3P handover, critic proximity and optimizer interventions are disabled.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"For scalar hosts that expose this auxiliary, use the unbiased sample covariance of the supplied latent batch. It discourages standard deviations below $1$ and off-diagonal covariance, without requiring a Gaussian topology. Batches with fewer than two rows return zero. Behavioral hosts retain their explicitly bound auxiliary objectives.","label":"Latent spread auxiliary objective","latex":"\\begin{aligned}R_{\\mathrm{prior}}&=\\frac{1}{d_z}\\sum_{a=1}^{d_z}\\left(1-\\sqrt{(\\Sigma_z)_{aa}+10^{-4}}\\right)_+\\\\&\\quad+\\frac{1}{d_z}\\sum_{a\\ne b}(\\Sigma_z)_{ab}^2,\\\\L_G&=\\ell_G+0.05R_{\\mathrm{prior}}.\\end{aligned}"},{"explanation":"Hold each role at its base rate for $60\\%$ of the declared recipe horizon, then decay to a $5\\%$ floor and hold. The reusable task-adapted card resolves $T$ explicitly; the historical native MoG/cloud cards retain $T=7000$. An external execution cap does not redefine the schedule.","label":"Full-horizon learning-rate cosine","latex":"a(q)=\\begin{cases}1,&q\\le0.6,\\\\0.05+\\dfrac{0.95}{2}\\left[1+\\cos\\!\\left(\\pi\\min\\!\\left(1,\\dfrac{q-0.6}{0.4}\\right)\\right)\\right],&q>0.6,\\end{cases}\\qquad \\eta(t)=\\eta^{(0)}a(t/T)."}],"overview":"This historical entry retains the released v0.7 GAN v3 recipe adapted to the matched learned-MoG native host: latent dimension 2, batch 2048 and task-bound MoG sampling. It uses the same fixed critic-gradient cap, latent spread objective and full-horizon cosine as the release family. Its exact source/host results remain historical; the reusable task-adapted card is the current family declaration.","pseudocode":["For each training iteration:"," Use the historical 7000-step recipe horizon: hold LR through 60%, then cosine-decay toward 5% of its base value."," Draw real x and task-prior z; fake = detach(G(z))."," Compute the paired critic adversarial loss shown above."," g_r = gradient(D(x),x); g_f = gradient(D(fake),fake), using detached input copies."," Add the fixed real/fake input-gradient penalty shown above."," Backpropagate; take the critic Adam step with guard and gradient anchor disabled."," Freeze D parameters; draw fresh z, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic."," On scalar latent-table hosts, add .05 * R_prior to L_G; behavioral hosts retain their original objectives."," Backpropagate; update G/prior with A2 and direct response gain disabled."," Maintain the configured .995 generator/prior EMA where the host implements it."," Score with the frozen task's declared weights, prior and noise law; ordinary gates use clean live outputs."],"references":[{"component":"Base Adam optimizer.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Inspiration for latent variance/covariance regularization; no full VICReg objective is claimed.","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","url":"https://arxiv.org/abs/2105.04906"},{"component":"Related work on one-sided input-gradient penalties. The repository evaluates caps directly on real/fake inputs; it does not reproduce the paper's full training or sampling algorithm.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/release07-gan-v3-mog-v1.json","configs/forge/configurations/release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c.json","reports/forge/studies/FORMULATION_COMPARISON_CONTINUATION.md","reports/forge/RELEASE07_TASK_ADAPTATION_READOUT.md","particlegan/grad_regularizers.py","particlegan/vicreg_loss.py","https://github.com/255BITS/ParticleGAN/blob/2899099048c0a9987eb8720214abfce56d86d92a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $R_{\\mathrm{prior}}$ is the VICReg-inspired latent spread term, $d_z$ the latent dimension, $\\Sigma_z$ the unbiased sample covariance and $\\epsilon=10^{-4}$ the variance stabilizer. $t$ counts completed updates, $T$ is the declared recipe horizon, $q=t/T$, $\\eta^{(0)}$ a base LR and $a(q)$ its multiplier. EMA denotes a parameter exponential moving average.","training_details":{"averaging":"Generator/prior EMA decay $0.995$ is configured where the host implements it; selected ordinary gates use live weights. Behavioral hosts may own no scored EMA or latent table. No critic-gradient anchor average is active.","critic_penalty":"Fixed $\\lambda=6$ and L2 cap $\\kappa=1.25$ on both real and fake samples, applied every step. No RMS normalization, K3P handover or critic-gradient proximity term.","damping_and_guards":"A2, critic spike guard, critic anchor and direct sample-particle gain are all disabled. This distinguishes the full release recipe from a fixed BCap penalty swapped into an otherwise intact K3P recipe.","gradient_clipping":"No critic spike guard or global gradient-norm clipping. The cap penalizes excess critic input-gradient magnitude in the loss; it does not clamp critic parameter gradients or weights.","learning_rates":"Original reference base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. The historical selected whole variant uses $0.006375$ and prior multiplier $1$. Both retain the $7000$-step recipe horizon, a $60\\%$ hold followed by cosine decay to $5\\%$, with no separate short network horizon. This native card fixes its resource fields; the later task-adapted successor delegates them explicitly without rewriting the historical recipe.","loss":"Paired relativistic logistic, with the fixed real/fake cap regularizer below. Scalar hosts add the declared $0.05$ latent variance/covariance term; behavioral hosts keep their task-owned reconstruction, conditional or direct-particle objectives.","noise":"No additive critic-input or generated-output training noise. The task's prior still owns its latent sampling noise: learned-MoG and particle-cloud hosts remain distinct. Paired noisy/EMA diagnostics do not replace the required clean/live result.","optimizer":"K3P-derived Adam wrappers selected by the explicit fixed b_cap arm. $\\beta_1=0$, $\\beta_2=0.99$, AMSGrad off; guard, anchor, A2 and direct gain are disabled. Observer bookkeeping remains. This recipe is not selected through optimizer_family='adam', despite having its intervention switches off. Direct sample-particle hosts can retain separately declared response moments even when response gain is disabled; inspect the host binding."}},"historical_only":true,"id":"release07-gan-v3-mog","label":"GAN v3 release 0.7 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Existing trade-offs do not prove the problem impossible.","pass_summary":"Yes, individual research configurations; no selected recipe passes the complete test.","passers":["`kinetic-local-nsgda-cross-v1`, `kinetic-local-dualnorm-g-history-v1` and `kinetic-local-dualnorm-g-history-bank8-v-v1` pass, but fail ring16 and mode hold.","Cell-gradient-signal configurations and `cell-quota-minimum-change-forward-kl-g-v1` also pass. The latter passes mode hold too, but its later ring16 probe fails and it cannot run two-pole or word smoke.","A hand-built network can draw the target; that is a capacity witness, not a trained full-protocol PASS."],"problem":"BCAP and BISPF keep oscillating instead of settling. BISPF passes only 5 of 72 stationary checks, misses deadline re-acquisition and passes 0 of 24 shifted-hold checks. A one-time smoke pass does not establish stability.","task":"gaussian1d_stability","title":"Keep a bell curve stable, then learn a moved target"},{"evidence":[{"anchor":"vector_unequal_mass","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn several blobs with different probabilities, including a rare 2% blob, without losing its population or collapsing its shape.","next_step":"Preserve rare-cluster coverage and shape while checking unequal-width, ring16 and mode hold with one unchanged recipe.","pass_summary":"Yes, transport and cell-moment research configurations; BCAP and BISPF fail.","passers":["`kinetic_transport_local_v2` and the two kinetic g-history reference8 variants pass; they fail unequal-width and mode hold.","Round-5 direction blend plus local-v2 passes, but fails Gaussian stability and unequal-width and was not measured on most of the required suite.","Cell-moment aggregate recipes pass all four vector tests; they lose mode hold or ring16. True-target sampling passes 200/200 reference runs, which validates the gate but is not a training win."],"problem":"The rare blob receives little training signal. BISPF preserves its share but flattens its shape: minimum eigen ratio 0.004 against the required 0.15. BCAP also collapses it.","task":"vector_unequal_mass","title":"Preserve rare clusters"},{"evidence":[{"anchor":"vector_unequal_width","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Give four equally likely blobs different widths while preserving both their shapes and their equal probabilities.","next_step":"Test the balanced-assignment reference on the missing suite and solve its rare-cluster regression before claiming a global improvement.","pass_summary":"Yes, balanced assignment and cell-moment research configurations.","passers":["Round-5 balanced coordinate assignment passes with 14 terminal checks and spread error 0.286, but loses unequal-mass, Gaussian stability and native 100-blob quality; much of the required suite is untried.","Cell-moment aggregate and per-kernel recipes pass but fail other required tests. G-angle has a historical-source pass, not a current selected pass."],"problem":"BISPF gets the shares wrong (mass TV 0.25) even where shapes pass. BCAP has both share and spread errors. A few strays can dominate a narrow blob.","task":"vector_unequal_width","title":"Learn narrow and broad clusters together"},{"evidence":[{"anchor":"vector_anisotropic","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Match the populations and shapes of three equally likely blobs stretched horizontally, vertically and diagonally.","next_step":"Retain the successful mass allocation while preserving mode hold and basic acquisition.","pass_summary":"Yes: K3P, KA2, R1/R2 in separate diagnostics, plus research configurations.","passers":["K3P, KA2 and R1/R2 pass in the attempt index, separately from qualifying selected-cohort results. They fail mode hold, ring16 and the clock measurement in the recorded comparison.","Nine additional indexed research recipes and four cell-moment aggregates pass. Recorded passers with mode-hold measurements fail it."],"problem":"Both leading recipes allocate the wrong amounts to the blobs. BISPF has mass TV 0.191 against 0.15 and covariance error 2.0.","task":"vector_anisotropic","title":"Learn stretched and tilted clusters"},{"evidence":[{"anchor":"vector_overlap","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Match the observable centre, spread and distribution of two overlapping blobs; no hidden component labels are required.","next_step":"Add stability without losing multimodal acquisition or mode hold. A good endpoint alone does not meet the sustained gate.","pass_summary":"Yes: K3P in separate diagnostics and multiple research recipes.","passers":["K3P and ten other indexed configurations pass under the recorded declaration; all fail mode hold.","Four cell-moment aggregates pass; three lose mode hold and the Bures variant loses ring16."],"problem":"BCAP reaches the target temporarily and drifts away. BISPF ends with centre error 0.28, covariance error 0.53 and distribution distance 0.19; it misses the sustained ending.","task":"vector_overlap","title":"Settle on an overlapping distribution"},{"evidence":[{"anchor":"img_bars4","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate each of four simple bar pictures, rather than producing only a few convincing examples.","next_step":"Preserve all four clean bar modes while passing stripes and the acquisition tests with the same recipe.","pass_summary":"Yes: R1/R2 and GAN v3 in separate diagnostic measurements.","passers":["R1/R2 and GAN v3 pass this declaration, but fail ring16, the clock measurement and the required stripes test.","Older historical recipes pass bars and stripes together under different contracts; they cannot fill today's cells."],"problem":"BCAP and BISPF produce clean pictures but only 2 of 4 bars. Some transport recipes reach more bars but produce too many blurry pictures.","task":"img_bars4","title":"Generate all four bar images"},{"evidence":[{"anchor":"img_blobs4","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate a small bright square at each of four corners, with enough clean examples of every corner.","next_step":"Keep all four corners clean and sustained without breaking basic learning and identity preservation.","pass_summary":"Yes: R1/R2 and kinetic research configurations.","passers":["R1/R2 passes in separate diagnostic measurements with an 18-check streak, but loses ring16 and the clock measurement.","`kinetic_transport_local_v2` passes but fails two-pole and unused-token hold. Four kinetic history variants pass but are blocked on basic behavioural tests."],"problem":"BISPF reaches 3 corners and 28/32 clean pictures; the gate requires all 4 and at least 29/32. BCAP reaches 2 corners. A near miss or four passing checks is not a five-check sustained pass.","task":"img_blobs4","title":"Generate all four image corners"},{"evidence":[{"anchor":"img_intensity2","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate a square at either of two target brightnesses, with both levels represented and little brightness error.","next_step":"Learn accurate, balanced brightness modes while retaining the other image and acquisition passes.","pass_summary":"Yes: GAN v3, R1/R2 and kinetic transport in separate measurements.","passers":["GAN v3, R1/R2 and `kinetic_transport_local_v2` pass the recorded declaration, but fail required Tier 1 tests.","A historical wider-network pass belongs to `img_intensity2_residual16`, a different task variant."],"problem":"BISPF collapses to one brightness level. BCAP produces both but 10/32 pictures have inaccurate brightness.","task":"img_intensity2","title":"Generate both brightness levels accurately"},{"evidence":[{"anchor":"grid100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 24\u201337% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 54%, still below the gate.","task":"grid100","title":"A grid of 100 clusters"},{"evidence":[{"anchor":"rotated100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 26\u201327% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 51%, still below the gate.","task":"rotated100","title":"A rotated grid of 100 clusters"},{"evidence":[{"anchor":"staggered100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 30\u201334% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 56%, still below the gate.","task":"staggered100","title":"A staggered grid of 100 clusters"},{"evidence":[{"anchor":"grid100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"grid100_14k","title":"Keep the 100-cluster grid correct for longer"},{"evidence":[{"anchor":"rotated100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"rotated100_14k","title":"Keep the 100-cluster rotated grid correct for longer"},{"evidence":[{"anchor":"staggered100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"staggered100_14k","title":"Keep the 100-cluster staggered grid correct for longer"},{"evidence":[{"anchor":"target_shift_recovery","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn and hold a ring of blobs, then track a sudden sideways shift within 400 updates and stay correct; a frozen model must fail to show the change is real.","next_step":"Improve adaptation speed while keeping stationary stability. If the deadline itself is reconsidered, use an explicitly versioned task and preserve the old failure.","pass_summary":"No complete PASS under the current declaration in the audited evidence.","passers":["BISPF meets three of four parts but misses the recovery deadline.","Older PR215/PR217 recipes pass a different ring-shift question under earlier contracts, not this test."],"problem":"BISPF learns and holds the original ring, then recovers too late: it becomes steady 620 updates after the shift, missing the 400-update deadline. This is an adaptation-speed failure, not an inability to recover at all.","task":"target_shift_recovery","title":"Recover quickly after the target moves"},{"evidence":[{"label":"BISPF lead and ablation evidence","path":"reports/forge/WHAT_WORKED_REVIEW_20261015.md"}],"intent":"Keep generating every target mode during continued training, rather than losing modes after initially finding them.","next_step":"Preserve the BISPF pass on current source and combine it with repairs to Gaussian, vector and image failures.","pass_summary":"Yes: the selected BISPF recipe and some research configurations.","passers":["`bispf-v1` has a recorded PASS with a 12-check terminal streak. Its source is stale; this is not a fresh current-source qualification.","The cell-quota minimum-change recipe also passes mode hold but fails ring16. The reviewed tether-only BCAP ablation does not reproduce the BISPF win."],"problem":"BCAP falls one sustained window short in the reviewed run (3 terminal passing checks; 5 required). This single test accounts for BISPF's six-point lead when repeated across six views.","task":"mode_hold","title":"Keep every learned mode alive"},{"evidence":[{"anchor":"ring_extension","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Acquire all eight ring blobs, hold them for 1,200 consecutive checks, then survive 300 additional checks on the same uninterrupted run.","next_step":"Measure the unchanged BISPF recipe in its ordinary cohort on current source and preserve the whole acquisition/hold/extension protocol.","pass_summary":"Yes: BISPF in a saved separate-runtime diagnostic; no selected ordinary PASS.","passers":["BISPF producer `bf5d13ff` passes the full diagnostic run: 1,200/1,200 hold checks and 300/300 extension checks, with minimum quality above 0.99.","That diagnostic result is evidence the problem is solvable. It does not fill the selected cohort's unmeasured cell. `ring_hold` remains a visible phase, not a second independent test."],"problem":"BISPF lacks an ordinary qualifying run in the selected cohort. BCAP's diagnostic run loses quality during the hold phase; the extension cannot rescue a failed hold.","task":"ring_extension","title":"Keep a learned ring stable for a long run"},{"evidence":[{"anchor":"gaussian1d_stability","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/ring16_acquisition.json"}],"intent":"Learn all sixteen blobs on a ring with balanced populations and real within-blob spread, rather than sixteen collapsed points.","next_step":"Retain the passing ring baseline while repairing the held tests. Longer-budget or changed-schedule results must remain explicitly separate until adopted and measured.","pass_summary":"Yes: selected BCAP and BISPF recipes.","passers":["The selected BCAP DualNorm and `bispf-v1` records pass. Their recorded results remain bound to their original budgets and sources.","Some research recipes pass ring16 but lose mode hold; per-test winners do not establish a single winner for the entire suite."],"problem":"The selected K3P, KA2, R1/R2 and GAN v3 measurements fail this Tier 1 gate, preventing later qualification. Their results on other questions do not erase this acquisition failure.","task":"ring16_acquisition","title":"Learn sixteen distinct clusters from scratch"},{"evidence":[{"anchor":"clockfree_audit","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Check that the same learning state and inputs produce the same update despite changed step labels, declared horizon, evaluation cadence or a save/restart.","next_step":"Use saved internal state rather than external labels for adaptation, or explicitly version the desired policy. Do not silently treat an annealed recipe as clock-free.","pass_summary":"Yes: selected BCAP and BISPF recipes.","passers":["BCAP and BISPF pass the Tier 1 measurement with constant-rate configurations.","`clockfree_audit` is the duplicate longer-form gate and remains visible as a diagnostic; it is excluded from the distinct full-suite total to avoid counting the same question twice."],"problem":"The recorded scheduled K3P, KA2, R1/R2 and GAN v3 recipes depend on step or horizon through annealing. Good numerical fits do not satisfy this separate invariance requirement.","task":"clockfree_audit_measurement_v1","title":"Learning must not depend on external clock labels"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-zero-tanh-rail-escape/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/zero_tanh_rail_escape.json"}],"intent":"First converge near the tanh saturation rail at (+0.90, -0.90) where tanh' is attenuated (~0.19), then escape the rail within 400 updates when the target shifts to (0.0, 0.0) at update 1,001 and stay settled there.","next_step":"Run the full Tier 3 qualified family roster (`k3p`, `ka2`, `r1r2`, `bcap-pure`, `bcap-dualnorm`, `atlas`, `e22`, `release07-gan-v3`) in ordinary cohorts and promote from held to required once a global recipe passes it together with all counted Tier 1-3 requirements.","pass_summary":"Yes in standalone public-API seed-0 execution (K3P); not yet measured across the full selected-family roster.","passers":["Standalone public-API execution of `k3p` at seed 0 passes all 5 terminal checks (`mean_abs_error = 0.00298 <= 0.005`, `rms_error = 0.00421 <= 0.01`, `p99_abs_error = 0.01416 <= 0.025`, `saturated_fraction = 0.0`).","The 3-level solvability suite (`tests/test_solvability_tanh.py`) verifies 200/200 oracle passes and a constructive network witness."],"problem":"Bounded tanh heads attenuate pre-activation gradients near +/-1. Recipes that allow large pre-activation drift during the first 1,000 updates can lock into the rail or overshoot and oscillate around zero after the shift; no ordinary selected-cohort qualification run has been recorded on this newly added Tier 3 gate yet.","task":"zero_tanh_rail_escape","title":"Escape a tanh saturation rail after the target shifts to zero"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-grid100-mlp16/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/grid100_mlp16.json"}],"intent":"Learn all 100 equal-weight Gaussian modes on `grid100` using a 16-hidden-layer 128-wide LeakyReLU(0.2) MLP generator without residual skips or normalization layers.","next_step":"Pair layer-wise gradient normalization (such as `bcap-nsgda-layer` or `bcap-dualnorm`) with balanced prior-to-generator step scaling so early updates do not collapse the 16-layer Jacobian before particles separate across the 10x10 grid.","pass_summary":"No full PASS under the current clean-sampling declaration; constructive capacity witness passes.","passers":["Constructive 16-layer capacity witness in `tests/test_solvability_deep100g.py` recovers 100/100 modes and passes all coverage and 100k accuracy bounds, proving the 16-layer architecture can represent the target.","Oracle sampler passes 200/200 draws with >= 2x noise-floor headroom."],"problem":"Increasing generator depth from 3 to 16 hidden layers contracts initial output spread by ~156x and attenuates first-layer and particle-prior gradients by ~73x at step 1. In the standalone seed-0 `k3p` run, the 16-layer generator collapses to 0/100 modes (`output_sigma = 0.029`, `mass_tv = 0.99`).","task":"grid100_mlp16","title":"Survive a 16-layer unnormalized MLP generator on the 100-cluster grid"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-grid100-res16-tanh/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/grid100_res16_tanh.json"},{"label":"Paired scaled-backbone declaration","path":"configs/forge/tasks/grid100_res16_scaled_tanh.json"}],"intent":"Recover all 100 Gaussian modes on `grid100` using a 16-layer identity-skip residual MLP generator and a bounded `S=5.25` scaled `tanh` output head without saturating the `|x| > 0.99 * 5.25` rails.","next_step":"Keep `grid100_mlp16` and `grid100_res16_tanh` as unnormalized trainer stress tests alongside the paired `grid100_res16_scaled_tanh` control, and control pre-tanh logit growth on unnormalized backbones via bounded step norms.","pass_summary":"No full PASS on the unnormalized backbone; paired `grid100_res16_scaled_tanh` task (`ScaledResidualMLPGenerator` + `TanhRailGuard`, 8/8 selected families PASS at full 7,000-step GPU budget) and constructive residual-tanh witness pass with zero saturation.","passers":["Paired `grid100_res16_scaled_tanh` (`configs/forge/tasks/grid100_res16_scaled_tanh.json`) with `ScaledResidualMLPGenerator(use_norm=True, preserve_latent_norm=True)` and `TanhRailGuard` passes all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) at full 7,000-step GPU budget (`100/100` modes, `saturated_fraction = 0.0 <= 0.001`), isolating trainer depth transport from unscaled initialization pathology.","Constructive 16-layer residual + `S=5.25` tanh witness in `tests/test_solvability_deep100g.py` passes all 100-mode coverage, 100k accuracy, and `saturated_fraction <= 0.001` bounds (`saturated_fraction = 0.0`).","Oracle sampler passes 200/200 draws."],"problem":"Identity skip connections prevent the 16-layer vanishing-gradient collapse of `grid100_mlp16`, but under unscaled critic updates (`k3p` at seed 0) 96.4% of generated samples are pushed into the `tanh` saturation rails (`saturated_fraction = 0.9639` vs. `<= 0.001` bound, `modes = 0/100`).","task":"grid100_res16_tanh","title":"Learn the 100-cluster grid with a 16-layer residual MLP and bounded tanh head"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-misgan-block-recovery/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/misgan_block_recovery.json"}],"intent":"Train a 2-pair incomplete-data MisGAN (`(G_x, D_x)` + `(G_m, D_m)` with detached mask gradient in `L_x`) observing only masked 8D data `(x * m, m)` under structured block dropout, then impute held-out rows via native Bayesian particle-posterior (`ppost`) resampling from `G_x`.","next_step":"Promote `misgan_block_recovery` and `misgan_mcar_p50_recovery` from held to required once an updated global qualification cohort is registered.","pass_summary":"Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix via GAIN-style hint conditioning on `D_x` and observed-subspace completion without temperature annealing.","passers":["All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on both `misgan_block_recovery` and `misgan_mcar_p50_recovery` with decoupled `prior_x`/`prior_m`, GAIN-style hint conditioning on `D_x` (`hint_dim=8`), static `TemperatureSigmoid(0.66)`, and observed-subspace completion.","Constructive witness and `origin/misgan-toy` detached-mask `G_x` + `ppost` achieve 100/100 modes, `hq >= 0.99`, and `acc_lo = 0.759 >= 0.70` (with 2.88x noise-floor headroom relative to the 0.777 Bayes ceiling).","Oracle `bayes_posterior` + `ppost` passes 200/200 draws in `tests/test_solvability_misgan.py`."],"problem":"When 10% of rows observe only sensor `{7}`, unanchored 8D critic updates without partial-mask hints or observed-subspace completion suffer from mode-averaging and off-plane drift (`off_plane = 3.55` vs. `<= 0.04`, `modes = 3/100`).","task":"misgan_block_recovery","title":"Recover an 8D lifted 100-mode manifold from incomplete block-masked data (MisGAN + ppost)"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-misgan-block-neural-imputer/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/misgan_block_neural_imputer.json"}],"intent":"Train a 3-pair MisGAN (`(G_x, D_x)` + `(G_m, D_m)` + `(G_i, D_i)`) and grade the neural imputer `G_i([x * m, m, z_i])` directly on the 16 held-out ambiguous single-sensor queries without `ppost` particle resampling.","next_step":"Promote `misgan_block_neural_imputer` from held to required once an updated global qualification cohort is registered.","pass_summary":"Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix without temperature annealing.","passers":["All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on `misgan_block_neural_imputer` (`observed_max_error = 0.0`, `acc >= 0.95`, `acc_lo >= 0.65`, `missing_std_ratio` in `[0.70, 1.30]`) with decoupled `prior_x`/`prior_m`/`prior_i`, GAIN-style hint conditioning on `D_x`, and static `TemperatureSigmoid(0.66)`.","Trained PyTorch neural network witness `G_i` in `tests/test_solvability_misgan.py` passes 100% of gates, proving the neural imputer architecture has sufficient capacity.","Oracle posterior sampler passes 200/200 draws with >= 2x noise headroom."],"problem":"Standard neural imputers `G_i([x * m, m, z_i])` satisfy the observed-sensor identity (`observed_max_error = 0.0`) and global missing-coordinate spread (`missing_std_ratio = 0.803` in `[0.7, 1.3]`), but suffer from conditionalGAN `z_i` noise-channel ignore on the 10% single-sensor rows without observed-subspace coupling and `D_x` hint conditioning.","task":"misgan_block_neural_imputer","title":"Learn a multimodal neural imputer on ambiguous single-sensor block masks without ppost"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-ring16-bigan-continuous/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/ring16_bigan_continuous.json"}],"intent":"Train a continuous 2D multimodal joint BiGAN `(G(z), E(x), D(x, z))` on the 16-Gaussian ring (`MoGParticlePrior(sigma=0.1)`), simultaneously satisfying forward 16-mode generation and paired round-trip reconstruction `x -> G(E(x))`.","next_step":"Extend kernel-augmented joint `(x, z)` curvature regularization and cycle-consistency conditioning to the remaining non-kernel trainer families so all selected families contract within-mode variance without losing 16-mode coverage.","pass_summary":"Yes: `k3p` (adopted as the default continuous BiGAN recipe) and `ka2` paired with ALICE cycle-consistency (`lambda_cycle = 2.0`) and coordinate Fourier features (`K=3`) pass all 5 sustained terminal checks.","passers":["`k3p` (default recipe on `api-ring16-bigan-continuous` and `api-alice-spiral-bigan`) and `ka2` pass all 5 sustained terminal checks (`modes = 16`, `hq >= 0.85`, `mass_tv <= 0.15`, `recon_rmse <= 0.12`, `mode_consistency >= 0.98`) in the formulaic coverage matrix.","Trained PyTorch `(G, E)` witness in `tests/test_solvability_bigan.py` passes all forward generation and round-trip reconstruction gates.","Oracle joint sampler passes 200/200 draws with >= 2x noise headroom."],"problem":"In the standalone seed-0 `bcap` public-API run without cycle-consistency or kernel-augmented critics, the joint game discovers all 16/16 modes (`modes = 16`) and achieves high round-trip mode consistency (`mode_consistency = 0.9951 >= 0.98`), but within-mode variance remains too broad (`hq = 0.238` vs. `>= 0.85`, `recon_rmse = 0.220` vs. `<= 0.12`).","task":"ring16_bigan_continuous","title":"Learn a continuous 16-mode ring joint Encoder-Generator-Critic BiGAN"},{"evidence":[{"label":"Test dispositions and policy-cloud notes","path":"reports/forge/test-dispositions-20261015/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/two_pole.json"}],"intent":"Drive a generator-free direct particle cloud from zero to two symmetric poles (`mean_abs >= 0.30`) and hold them steady with bounded critic gradient (`grad_med <= 1.0`) across the final five checks.","next_step":"Gate critic-space particle birth-death when no separate generator module is present (direct particle-transport hosts) or prevent real-anchor cloning from collapsing bipolar symmetry near zero, while preserving `atlas-particle-normal-v4`'s 24-pass full-suite gains.","pass_summary":"Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass.","passers":["Selected `recipe-prior-refactor-bcap-pure-v1`, `bispf-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the ordinary Tier 1 gate.","E22 remains blocked on direct particle-cloud host compatibility."],"problem":"In selected `atlas-particle-normal-v4` (`particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256`), direct particle coordinates without a separate generator remain pinned near the origin (`mean_abs = 0.00242` vs. `>= 0.30`, `grad_med = 0.00371`). Critic-space kNN birth-death (`birth_death_cells = 64` capped on the direct particle batch) recycles particles around the origin before symmetric pole separation develops.","task":"two_pole","title":"Separate direct sample particles across two symmetric poles"},{"evidence":[{"label":"Five-word tier split readout","path":"reports/forge/five-word-tier-split/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/five_word_joint_smoke.json"}],"intent":"Train a joint generator-encoder-prior-critic BiGAN over five five-letter words for 20,001 updates, acquiring all five clean word modes (`modes == 5`, `quality_fraction >= 0.95`, `mass_tv <= 0.10`) and exact high-confidence paired reconstructions (`reconstruction_exact == 1`, `minimum_reconstruction_token_probability >= 0.90`) at an independently confirmed scheduled state.","next_step":"Diagnose how critic-space birth-death and `sigma=0.0065` latent perturbation interact with the joint `(x, z)` BiGAN encoder-generator coupling over 20k discrete-token updates without regressing continuous multimodal coverage.","pass_summary":"Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass.","passers":["Selected `bispf-v1`, `recipe-prior-refactor-bcap-pure-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the Tier 1 smoke gate.","Passing `five_word_joint_smoke` certifies one confirmed acquisition state; `five_word_joint_hold` separately grades sustained post-acquisition stability."],"problem":"While selected `atlas-particle-normal-v4` passes `ae_gan_hold` and `unused_token_hold`, on the 20,001-step five-word joint BiGAN game its `particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256` recipe fails to acquire discrete word modes (`modes = 0/5`, `quality_fraction = 0.0`, `reconstruction_exact = 0`, `reconstruction_nll = 22.46`).","task":"five_word_joint_smoke","title":"Acquire five discrete words and paired BiGAN reconstructions in 20,001 joint updates"},{"evidence":[{"label":"AE-GAN public-API model report","path":"reports/forge/api-model-toys/ae.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ae_gan_multimodal.json"}],"intent":"Train a public-API multimodal AE-GAN to reconstruct four equally weighted corner Gaussians (`reconstruction_mse <= 0.025`, `reconstruction_mode_agreement >= 0.98`) while independently generating all four modes with balanced masses (`mass_tv <= 0.15`) and well-conditioned within-mode covariances (`0.10 <= eigen_ratio <= 4.0`) across the final five checks.","next_step":"Reduce prior mass imbalance under joint AE-GAN encoding (for example, balancing birth-death cell quotas against encoder-posterior assignments) and record ordinary CUDA measurements for the remaining selected families.","pass_summary":"Yes in standalone bounded API research (`bispf-optimized-quintic-v1` CPU cohort); no ordinary selected CUDA PASS yet.","passers":["Standalone bounded API research (`bispf-optimized-quintic-v1` on CPU) passes all eight sustained gates (`reconstruction_mse = 0.00927`, `precision = 0.9968`, `mass_tv = 0.1177 <= 0.15`).","That CPU research cohort is separate from the ordinary CUDA selected-family rows and does not fill `bispf-v1`'s unmeasured cell."],"problem":"Selected `atlas-particle-normal-v4` satisfies seven of eight terminal bounds (`modes = 4`, `precision = 0.9980 >= 0.90`, `reconstruction_mse = 0.00438 <= 0.025`, `reconstruction_mode_agreement = 1.0`, `component_min_eigen_ratio = 0.140 >= 0.10`, `component_max_eigen_ratio = 1.169 <= 4.0`, `component_center_rms_sigma = 0.571 <= 1.0`), but misses the independent mode-mass balance gate (`mass_tv = 0.1948` vs. `<= 0.15`). Other selected families remain unmeasured in ordinary CUDA cohorts on this Rev 10+ Tier 1 task.","task":"model_ae_gan_multimodal","title":"Reconstruct four noisy corner Gaussians and generate balanced independent modes (AE-GAN)"},{"evidence":[{"label":"DDGAN public-API model report","path":"reports/forge/api-model-toys/ddgan.md"},{"label":"DDGAN saved-state failure investigation","path":"reports/forge/ddgan-failure-investigation/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ddgan_gaussian_chain.json"}],"intent":"Train a four-step public-API DDGAN on a 2D Gaussian forward diffusion chain so every reverse conditional transition (`t1..t4`, `q0`/`q1`) and the final ancestral marginal satisfy `projection_cdf <= 0.12`, `normalized_mean <= 0.25`, and covariance eigenvalues in `[0.65, 1.40]` across the last five checks.","next_step":"Improve per-timestep conditional critic discrimination and reverse-generator stochasticity at small `t` under one unchanged global recipe without per-task hyperparameter tuning.","pass_summary":"No PASS under the current declaration in either ordinary selected cohorts or bounded API research.","passers":["Oracle transition samplers pass all 38 threshold checks in the bounded protocol, confirming scorer calibration.","Saved-state diagnostics isolate the failure to conditional reverse-step variance and mean drift at `t=1, 2` rather than numerical instability."],"problem":"Both selected `atlas-particle-normal-v4` (ordinary CUDA) and the bounded `bispf-optimized-quintic-v1` API research run (CPU) match the outer reverse steps (`t3`, `t4`), but miss the sharp final denoising transitions (`t1`, `t2`) and ancestral marginal (`atlas-particle-normal-v4`: `final_projection_cdf = 0.1695 > 0.12`, `final_normalized_mean = 0.3367 > 0.25`, `t1_q0_projection_cdf = 0.2747 > 0.12`, `t1_q0_covariance_eigen_min = 0.2710 < 0.65`).","task":"model_ddgan_gaussian_chain","title":"Learn four-step conditional reverse transitions and ancestral generation (DDGAN)"},{"evidence":[{"label":"AE-DDGAN public-API model report","path":"reports/forge/api-model-toys/ae-ddgan.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ae_ddgan_gaussian_chain.json"}],"intent":"Reconstruct held-out inputs through a learned particle autoencoder and four public DDGAN reverse steps (`paired_nmse <= 0.10`, `paired_worst_axis_nrmse <= 0.25`, `paired_shuffled_gain >= 3.0`) while simultaneously passing all conditional reverse-transition and independent ancestral-chain bounds.","next_step":"Align the ancestral prior and reverse chain with the encoder latent manifold at `t=1, 2` so independent ancestral sampling retains full variance (`>= 0.65`) without degrading paired reconstruction.","pass_summary":"No complete PASS under the current declaration; paired four-step reconstruction passes while independent/conditional reverse generation fails.","passers":["Both `atlas-particle-normal-v4` (ordinary CUDA) and `bispf-optimized-quintic-v1` (bounded CPU research) pass all four paired four-step reconstruction gates with >45x-134x shuffled-input error gain.","Oracle reverse-chain controls pass all 42 gates."],"problem":"Selected `atlas-particle-normal-v4` passes every paired four-step reconstruction gate (`paired_nmse = 0.0147 <= 0.10`, `paired_worst_axis_nrmse = 0.1333 <= 0.25`, `paired_shuffled_gain = 134.67 >= 3.0`) and `final_projection_cdf = 0.1199 <= 0.12`, matching the bounded `bispf-optimized-quintic-v1` research pattern where paired encoding succeeds (`paired_nmse = 0.0441`) while independent ancestral covariance (`final_covariance_eigen_min = 0.4226 < 0.65`) and `t1`/`t2` reverse-transition bounds fail (`t1_q0_projection_cdf = 0.5950 > 0.12`).","task":"model_ae_ddgan_gaussian_chain","title":"Pair particle AE reconstruction with four-step DDGAN reverse transitions and ancestral generation"},{"evidence":[{"anchor":"precision-stretch","label":"Protocol, precision semantics and limitations","path":"reports/forge/precision-stretch/README.md"}],"intent":"Train from the shared deterministic initialization using Blackwell-format MXFP8 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks.","next_step":"Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step.","pass_summary":"Not measured. Short software checks do not establish a quality PASS.","passers":["No compatible full-budget passing configuration is recorded."],"problem":"No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified.","task":"precision_gaussian_mxfp8","title":"Learn a Gaussian with 8-bit MXFP8 training arithmetic"},{"evidence":[{"anchor":"precision-stretch","label":"Protocol, precision semantics and limitations","path":"reports/forge/precision-stretch/README.md"}],"intent":"Train from the shared deterministic initialization using Blackwell-format NVFP4 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks.","next_step":"Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step.","pass_summary":"Not measured. Short software checks do not establish a quality PASS.","passers":["No compatible full-budget passing configuration is recorded."],"problem":"No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified.","task":"precision_gaussian_nvfp4","title":"Learn a Gaussian with 4-bit NVFP4 training arithmetic"}],"schema":"forge_problem_definitions_v1"},"qualification_input":false,"qualification_reuse":false,"recorded_display_scope":{"path":"configs/forge/leaderboards/technique-inventory-full-suite-2026-10-25.json","sha256":"14155fb6273af76ef248db2da6335c22ddeab2a1deb82b3eb3f0f6cd08b19c34","text":"{\n \"schema\": \"forge_fixed_test_list_v1\",\n \"id\": \"technique-inventory-full-suite-2026-10-25\",\n \"dated\": \"2026-10-25\",\n \"leaderboard\": \"reports/forge/technique-inventory.md\",\n \"derived_from\": {\n \"rule\": \"distinct required or held tests across the inventory's counted views (full_suite_tasks)\",\n \"publication\": \"reports/forge/technique-inventory.json\",\n \"publication_sha256\": \"27db97259f727b071e97eb31ff5de7778bffa33e5a83ba13a19b47e77716fabc\",\n \"commit\": \"a3e09d3ca1affc61e502d601585235c580496c3d\"\n },\n \"policy\": \"The denominator is fixed: every listed test counts in every row as PASS, FAIL, not measured or another outcome, whether it is currently required, held or removed from a view. A test leaves the denominator only through a new dated list that keeps this one as history.\",\n \"tests\": [\n \"ae_gan_hold\",\n \"clockfree_audit\",\n \"clockfree_audit_measurement_v1\",\n \"cover_leftover\",\n \"five_word_joint_hold\",\n \"five_word_joint_smoke\",\n \"gaussian1d_smoke\",\n \"gaussian1d_stability\",\n \"grid100\",\n \"grid100_14k\",\n \"grid100_mlp16\",\n \"grid100_res16_tanh\",\n \"img_bars4\",\n \"img_blobs4\",\n \"img_intensity2\",\n \"img_stripes2\",\n \"mid_scale_identity\",\n \"misgan_block_neural_imputer\",\n \"misgan_block_recovery\",\n \"mode_hold\",\n \"model_ae_ddgan_bimodal_chain\",\n \"model_ae_ddgan_gaussian_chain\",\n \"model_ae_gan_multimodal\",\n \"model_ae_reconstruction\",\n \"model_ddgan_bimodal_chain\",\n \"model_ddgan_gaussian_chain\",\n \"model_vae_categorical\",\n \"model_vae_hard\",\n \"residual_student\",\n \"ring16_acquisition\",\n \"ring16_bigan_continuous\",\n \"ring_extension\",\n \"rotated100\",\n \"rotated100_14k\",\n \"staggered100\",\n \"staggered100_14k\",\n \"target_shift_recovery\",\n \"trajectory\",\n \"two_pole\",\n \"unipolar\",\n \"unused_token_hold\",\n \"vector_anisotropic\",\n \"vector_overlap\",\n \"vector_spiral\",\n \"vector_two_broad\",\n \"vector_unequal_mass\",\n \"vector_unequal_width\",\n \"zero_tanh_rail_escape\",\n \"zero_tanh_smoke\"\n ]\n}\n"},"renderer_sha256":"e322c998a8d4f5531f971df4b28436b4c1a533a484c460468fba2a758bb86577","research_renderer_sha256":"bf51e02b7f9af7fb9cda98058441742b32085a73f49836ed987226a1e9b1c05d","run_attempt_coverage":{"attempted":1047,"counts":{"BLOCKED":174,"ERROR":9,"FAIL":457,"INCOMPLETE":3,"PASS":385,"TIMEOUT":19},"pending":0,"running":0,"total":1047},"schema_version":1,"scope":"recorded_view_progress","scoped_views":["bispf_throughput_endurance","bispf_throughput_small","lazy_cadence_coverage","policy_cloud_coverage","policy_cloud_coverage_as_served","tier1_policy_coverage"],"tag_definitions":{"adaptive-training-policy":"Uses an observation-driven training policy rather than a fixed update schedule.","adversarial-training":"Trains a generator against a critic; task-owned auxiliary objectives may also apply.","capped-input-gradients":"Penalizes critic input-gradient norms above a threshold on real and generated inputs; this is a soft loss penalty.","constant-learning-rate":"Declared baseline uses constant learning rates; resolved per-role rates remain configuration-specific.","critic-gradient-penalty":"Uses a penalty on critic input gradients; its formula and strength are configuration-specific.","historical-cohort":"A retained historical family with its original source, prior and scoring contracts.","learning-rate-annealing":"Declared baseline decreases learning rates during training; horizons and floors are configuration-specific.","native-adam":"Uses native Adam without formulation-specific optimizer interventions.","optimizer-interventions":"Includes formulation-specific interventions around optimizer 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Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"required","order":0,"qualification_tier":3,"task":"target_shift_recovery"}],"calibration":{"adoption_blocker":"Phase D historical calibration remains required","status":"provisional"},"eligibility":{},"goal":"adaptation","id":"adaptation","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/adaptation-v3.json","policy_fingerprint":"41cac2c9c5c17d5e0f73d709bf26b87cc935b782cd02ee2bef6be4cec4855843","revision":3},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":4,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-develop-integration-deeper-diagnostic-v1","policy_change_reason":"Complete remaining full-gate measurements after a failed integrated ordinary screen; separate diagnostic evidence and own checkpoint dependencies, no qualification credit.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-projection-baseline-repair-diagnostic-v1","policy_change_reason":"One fixed-seed paired research comparison. Original numerical questions and own checkpoint dependencies retained; independent deeper measurements confer no ordinary qualification.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-tier1-stability-diagnostic-v1","policy_change_reason":"Six fixed trainer ablations on the original two-pole question; no ordinary qualification.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-tier1-stability-repairs-diagnostic-v1","policy_change_reason":"Six fixed trainer ablations on the original two-pole question; no ordinary qualification.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"img_intensity2"}],"calibration":{"adoption_blocker":"Four source-bound image diagnostics do not qualify a new source or adopt public defaults.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap_convolution_images","policy_change_reason":"Explicitly scoped capability-repair rerun of four unchanged Tier2 image gates. Diagnostic scheduler placement does not change original task budgets or grading; other Tier2 and Tier1 evidence stays under its original source.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"raw_metrics_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2_w64_optimizer_diagnostic"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4_w64_optimizer_diagnostic"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_fastpath_quality","policy_change_reason":"Explicit architecture-portability diagnostic: width64 variants of the original 8x8 stripe and bar hosts exercise CUDA convolutional polar fast paths. Preserve all original numerical fidelity/coverage gates and native control evidence. These distinct larger-capacity task identities supply no ordinary qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"ring_hold"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"ring_extension"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_throughput_endurance","policy_change_reason":"Presentation only: scope this BISPF execution diagnostic to the BISPF family page. Preserve original revision1 bytes, frozen requests, task contracts, all numerical results and zero ordinary qualification credit.","previous_revision":{"archive":"configs/forge/view-history/bispf_throughput_endurance-v1.json","policy_fingerprint":"0fcefe315626e23066a6479e61a47be29556575a7e59d6b8a77cee3f1e4ef7cd","revision":1},"ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"reporting":{"families":["bispf"],"family_totals":false},"revision":2,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_throughput_small","policy_change_reason":"Presentation only: scope this BISPF execution diagnostic to the BISPF family page. Preserve original revision1 bytes, frozen requests, task contracts, all numerical results and zero ordinary qualification credit.","previous_revision":{"archive":"configs/forge/view-history/bispf_throughput_small-v1.json","policy_fingerprint":"cd642095ff4c8d14618242be0903b1d75a46e384f4314f3d330f4269d27c750e","revision":1},"ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"reporting":{"families":["bispf"],"family_totals":false},"revision":2,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":1,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":2,"qualification_tier":3,"task":"ring_extension"},{"importance":"required","order":3,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"importance":"required","order":3,"qualification_tier":3,"task":"grid100_14k"},{"importance":"required","order":4,"qualification_tier":3,"task":"rotated100_14k"},{"importance":"required","order":5,"qualification_tier":3,"task":"staggered100_14k"},{"importance":"required","order":6,"qualification_tier":3,"task":"target_shift_recovery"},{"importance":"required","order":0,"qualification_tier":3,"task":"clockfree_audit"}],"calibration":{"adoption_blocker":"Phase D historical calibration remains required","status":"provisional"},"eligibility":{"claim_contract":{"learning":"clockfree","shared_settings":true},"requires_capabilities":["named_rng","checkpoint"]},"goal":"clockfree_continuous","id":"clockfree_continuous","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged. Restore the existing clockfree_audit gate because required native continuations depend on it.","previous_revision":{"archive":"configs/forge/view-history/clockfree_continuous-v4.json","policy_fingerprint":"356fc81314bfe1a919c6e288f6c6ae8b27fa95d8a8cfb1b227da78915d8fa75d","revision":4},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":5,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"dcgan_performance_r32"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"dcgan_performance_r64"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"dcgan_performance_r128"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"dcgan_performance_r256"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"dcgan_performance_b64"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"dcgan_performance_w128"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"image_performance","id":"dcgan_performance","policy_change_reason":"Explicit image training speed and memory diagnostics, independent of scientific quality gates. A finite completed update budget supplies no qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"dcgan_performance_cpu_smoke"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"image_performance","id":"dcgan_performance_cpu_smoke","policy_change_reason":"Explicit image training speed and memory diagnostics, independent of scientific quality gates. A finite completed update budget supplies no qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"required","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"required","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"required","order":6,"qualification_tier":1,"task":"zero_tanh_smoke"},{"importance":"required","order":0,"qualification_tier":2,"task":"gaussian1d_stability"},{"importance":"required","order":1,"qualification_tier":2,"task":"five_word_joint_hold"},{"importance":"required","order":2,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":3,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":4,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":5,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":6,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":7,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":8,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":11,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":12,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":13,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":14,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":15,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":16,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":17,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":18,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":19,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":20,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":100,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements.","schema":"forge_hold_v1","summary":"Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe."},"importance":"held","order":2,"qualification_tier":3,"task":"zero_tanh_rail_escape"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements.","schema":"forge_hold_v1","summary":"16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes."},"importance":"held","order":0,"qualification_tier":4,"task":"grid100_mlp16"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation.","schema":"forge_hold_v1","summary":"16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe."},"importance":"held","order":1,"qualification_tier":4,"task":"grid100_res16_tanh"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes misgan_block_recovery under its unchanged declaration.","schema":"forge_hold_v1","summary":"2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation."},"importance":"held","order":2,"qualification_tier":4,"task":"misgan_block_recovery"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration.","schema":"forge_hold_v1","summary":"3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback."},"importance":"held","order":3,"qualification_tier":4,"task":"misgan_block_neural_imputer"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration.","schema":"forge_hold_v1","summary":"Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe."},"importance":"held","order":4,"qualification_tier":4,"task":"ring16_bigan_continuous"},{"importance":"stretch","order":5,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair."},"task":"misgan_mcar_p50_recovery"},{"importance":"stretch","order":6,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset."},"task":"misgan_mcar_p80_anchored"},{"importance":"stretch","order":7,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes."},"task":"pacgan_unequal_mass"},{"importance":"stretch","order":8,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage."},"task":"pacgan8_grid100"},{"importance":"stretch","order":9,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction."},"task":"alice_spiral_bigan"},{"importance":"stretch","order":10,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"InfoGAN mutual-information auxiliary head Q(c|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement."},"task":"infogan_anisotropic_modes"},{"importance":"stretch","order":11,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability."},"task":"cgan_overlapping_classes"},{"importance":"stretch","order":12,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid."},"task":"cramer_energy_overlap"},{"importance":"stretch","order":13,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations."},"task":"cyclegan_unpaired_constellation"},{"importance":"stretch","order":14,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion."},"task":"grid100_res16_scaled_tanh"},{"importance":"required","order":21,"qualification_tier":2,"task":"model_ae_ddgan_bimodal_chain"},{"calibration_note":"Reclassified from Tier 1 to Tier 2: tests a 4-step reverse diffusion chain demanding 42 simultaneous distribution matching bounds across 8 panels, ancestral marginal distributions, and AE reconstruction; generator prediction variance at step 1 (t=1, where reverse diffusion noise is 0%) requires multi-step distribution quality beyond the 2,500-step smoke scope of Tier 1, matching the complexity of model_ae_ddgan_bimodal_chain.","importance":"required","order":7,"qualification_tier":2,"task":"model_ae_ddgan_gaussian_chain"},{"importance":"required","order":8,"qualification_tier":1,"task":"model_ae_gan_multimodal"},{"importance":"required","order":9,"qualification_tier":1,"task":"model_ae_reconstruction"},{"importance":"required","order":22,"qualification_tier":2,"task":"model_ddgan_bimodal_chain"},{"calibration_note":"Reclassified from Tier 1 to Tier 2: tests a 4-step reverse diffusion chain demanding 38 simultaneous distribution matching bounds across 8 panels and ancestral marginal distributions; generator prediction variance at step 1 (t=1, where reverse diffusion noise is 0%) requires multi-step distribution quality beyond the 2,500-step smoke scope of Tier 1, matching the complexity of model_ddgan_bimodal_chain.","importance":"required","order":10,"qualification_tier":2,"task":"model_ddgan_gaussian_chain"},{"importance":"required","order":11,"qualification_tier":1,"task":"model_vae_categorical"},{"importance":"required","order":12,"qualification_tier":1,"task":"model_vae_hard"},{"importance":"diagnostic","order":101,"qualification_tier":1,"task":"precision_gaussian_fp32"},{"importance":"stretch","order":102,"qualification_tier":1,"stretch":{"explanation":"reports/forge/precision-stretch/README.md#precision-stretch","graduation":"Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass.","reason":"frontier","summary":"Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic?"},"task":"precision_gaussian_mxfp8"},{"importance":"stretch","order":103,"qualification_tier":1,"stretch":{"explanation":"reports/forge/precision-stretch/README.md#precision-stretch","graduation":"Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass.","reason":"frontier","summary":"Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic?"},"task":"precision_gaussian_nvfp4"}],"calibration":{"adoption_blocker":"Revision9 recipe-owned prior comparisons are provisional and require bounded calibration before scientific default adoption. Archived task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"goal":"discriminator_stability","id":"discriminator_stability","policy_change_reason":"Archive the exact develop revision-15 policy, preserving all required, held, and stretch assignments. Add paired Tier 4 stretch task grid100_res16_scaled_tanh alongside unnormalized grid100_mlp16 and grid100_res16_tanh; required qualification and historical numerical results are unchanged.","previous_revision":{"archive":"configs/forge/view-history/discriminator_stability-v15.json","policy_fingerprint":"ad156a02a8d44077d707f1324959b0b865824411ca08d9b5d5098ae7d1a69497","revision":15},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":16,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":19,"qualification_tier":2,"task":"img_intensity2_residual16"},{"importance":"diagnostic","order":20,"qualification_tier":2,"task":"vector_two_broad_published"},{"importance":"diagnostic","order":21,"qualification_tier":2,"task":"vector_unequal_mass_published"},{"importance":"diagnostic","order":22,"qualification_tier":2,"task":"vector_unequal_width_published"},{"importance":"diagnostic","order":23,"qualification_tier":2,"task":"vector_anisotropic_published"},{"importance":"diagnostic","order":24,"qualification_tier":2,"task":"vector_overlap_published"},{"importance":"diagnostic","order":25,"qualification_tier":2,"task":"vector_spiral_published"},{"importance":"diagnostic","order":26,"qualification_tier":2,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":27,"qualification_tier":2,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":28,"qualification_tier":2,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":29,"qualification_tier":2,"task":"grid100_affine_square_named_v1"},{"importance":"diagnostic","order":30,"qualification_tier":2,"task":"rotated100_affine_square_named_v1"},{"importance":"diagnostic","order":31,"qualification_tier":2,"task":"staggered100_affine_square_named_v1"},{"importance":"diagnostic","order":32,"qualification_tier":2,"task":"grid100_affine_paired_laws_v1"},{"importance":"diagnostic","order":33,"qualification_tier":2,"task":"grid100_release07_cloud_named_v1"}],"calibration":{"adoption_blocker":"Host-profile transfer and full current-cohort positive/negative reference calibration remain required; no archived pass is imported.","status":"provisional"},"eligibility":{},"goal":"host_profile_transfer","id":"formulation_comparison","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/formulation_comparison-v2.json","policy_fingerprint":"b0532147d576450ca98f63d4878d62c7a6d0553c2cfaef91db45850b7be0e5e8","revision":2},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":3,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":19,"qualification_tier":2,"task":"img_intensity2_residual16"},{"importance":"diagnostic","order":20,"qualification_tier":2,"task":"vector_two_broad_published"},{"importance":"diagnostic","order":21,"qualification_tier":2,"task":"vector_unequal_mass_published"},{"importance":"diagnostic","order":22,"qualification_tier":2,"task":"vector_unequal_width_published"},{"importance":"diagnostic","order":23,"qualification_tier":2,"task":"vector_anisotropic_published"},{"importance":"diagnostic","order":24,"qualification_tier":2,"task":"vector_overlap_published"},{"importance":"diagnostic","order":25,"qualification_tier":2,"task":"vector_spiral_published"},{"importance":"diagnostic","order":26,"qualification_tier":2,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":27,"qualification_tier":2,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":28,"qualification_tier":2,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":29,"qualification_tier":2,"task":"grid100_affine_square_named_v1"},{"importance":"diagnostic","order":30,"qualification_tier":2,"task":"rotated100_affine_square_named_v1"},{"importance":"diagnostic","order":31,"qualification_tier":2,"task":"staggered100_affine_square_named_v1"}],"calibration":{"adoption_blocker":"Host-profile transfer and full current-cohort positive/negative reference calibration remain required; no archived pass is imported.","status":"provisional"},"eligibility":{},"goal":"host_profile_transfer","id":"host_profile_transfer","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/host_profile_transfer-v5.json","policy_fingerprint":"4ec7d71aadf95810078097fab7b5fe04cc1a6e575bb902dd8a9db014e4048681","revision":5},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":6,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole_800_schedule80_diagnostic_v1"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole_800_schedule800_diagnostic_v1"}],"calibration":{"adoption_blocker":"Bounded budget/schedule diagnostic supplies no ordinary qualification, screen calibration or default adoption.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"k3p_two_pole_horizon","policy_change_reason":"Explicitly scoped two-pole budget and schedule diagnostic; continue both registered tasks after numerical failure. Original80-step main-view gate and recipe selections remain unchanged.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"raw_metrics_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":23,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":24,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":25,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":26,"qualification_tier":1,"task":"staggered100"},{"importance":"diagnostic","order":27,"qualification_tier":1,"task":"ring_hold"},{"importance":"diagnostic","order":28,"qualification_tier":1,"task":"ring_extension"},{"importance":"diagnostic","order":29,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"lazy_cadence_coverage","policy_change_reason":"Explicit accuracy study of the public lazy policy across original tiered tasks. Ungate independent peers only; preserve all task definitions and actual parent gate/checkpoint dependencies. Original tier/role assignments are frozen in cadence registration for display. No ordinary qualification credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"reporting":{"family_totals":false},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole_policy_cloud_coverage_v1"},{"importance":"required","order":1,"qualification_tier":1,"task":"gaussian1d_smoke_policy_cloud_coverage_v1"},{"importance":"required","order":2,"qualification_tier":1,"task":"ring16_acquisition_policy_cloud_coverage_v1"},{"importance":"required","order":3,"qualification_tier":1,"task":"clockfree_audit_measurement_v1_policy_cloud_coverage_v1"},{"importance":"required","order":4,"qualification_tier":1,"task":"unused_token_hold_policy_cloud_coverage_v1"},{"importance":"required","order":5,"qualification_tier":1,"task":"ae_gan_hold_policy_cloud_coverage_v1"},{"importance":"required","order":6,"qualification_tier":1,"task":"five_word_joint_smoke_policy_cloud_coverage_v1"},{"importance":"required","order":7,"qualification_tier":2,"task":"gaussian1d_stability_policy_cloud_coverage_v1"},{"importance":"required","order":8,"qualification_tier":2,"task":"grid100_policy_cloud_coverage_v1"},{"importance":"required","order":9,"qualification_tier":2,"task":"rotated100_policy_cloud_coverage_v1"},{"importance":"required","order":10,"qualification_tier":2,"task":"staggered100_policy_cloud_coverage_v1"},{"importance":"required","order":11,"qualification_tier":2,"task":"img_stripes2_policy_cloud_coverage_v1"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_bars4_policy_cloud_coverage_v1"},{"importance":"required","order":13,"qualification_tier":2,"task":"img_blobs4_policy_cloud_coverage_v1"},{"importance":"required","order":14,"qualification_tier":2,"task":"img_intensity2_policy_cloud_coverage_v1"},{"importance":"required","order":15,"qualification_tier":2,"task":"mode_hold_policy_cloud_coverage_v1"},{"importance":"required","order":16,"qualification_tier":2,"task":"vector_two_broad_policy_cloud_coverage_v1"},{"importance":"required","order":17,"qualification_tier":2,"task":"vector_unequal_mass_policy_cloud_coverage_v1"},{"importance":"required","order":18,"qualification_tier":2,"task":"vector_unequal_width_policy_cloud_coverage_v1"},{"importance":"required","order":19,"qualification_tier":2,"task":"vector_anisotropic_policy_cloud_coverage_v1"},{"importance":"required","order":20,"qualification_tier":2,"task":"vector_overlap_policy_cloud_coverage_v1"},{"importance":"required","order":21,"qualification_tier":2,"task":"vector_spiral_policy_cloud_coverage_v1"},{"importance":"required","order":22,"qualification_tier":2,"task":"five_word_joint_hold_policy_cloud_coverage_v1"},{"importance":"required","order":23,"qualification_tier":2,"task":"trajectory_policy_cloud_coverage_v1"},{"importance":"required","order":24,"qualification_tier":2,"task":"residual_student_policy_cloud_coverage_v1"},{"importance":"required","order":25,"qualification_tier":2,"task":"cover_leftover_policy_cloud_coverage_v1"},{"importance":"required","order":26,"qualification_tier":2,"task":"unipolar_policy_cloud_coverage_v1"},{"importance":"required","order":27,"qualification_tier":2,"task":"mid_scale_identity_policy_cloud_coverage_v1"},{"importance":"required","order":28,"qualification_tier":3,"task":"clockfree_audit_policy_cloud_coverage_v1"},{"importance":"required","order":29,"qualification_tier":3,"task":"grid100_14k_policy_cloud_coverage_v1"},{"importance":"required","order":30,"qualification_tier":3,"task":"rotated100_14k_policy_cloud_coverage_v1"},{"importance":"required","order":31,"qualification_tier":3,"task":"staggered100_14k_policy_cloud_coverage_v1"},{"importance":"required","order":32,"qualification_tier":3,"task":"ring_hold_policy_cloud_coverage_v1"},{"importance":"required","order":33,"qualification_tier":3,"task":"ring_extension_policy_cloud_coverage_v1"},{"importance":"required","order":34,"qualification_tier":3,"task":"target_shift_recovery_policy_cloud_coverage_v1"}],"description":"Separate Atlas/E22 policy-cloud scoped variants of the 35 distinct tests required by the selected views, at their selected-view tiers. Each variant keeps its parent architecture, data, budget, cadence and gates, binds an explicit equal-mass particle cloud and scores the state-selected served model without output noise. Original live/MoG parents receive no credit; incompatible hosts keep explicit ownership blockers.","eligibility":{},"goal":"discriminator_stability","id":"policy_cloud_coverage","reporting":{"families":["atlas","e22"],"family_totals":false},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole_policy_cloud_coverage_v1"},{"importance":"required","order":1,"qualification_tier":1,"task":"gaussian1d_smoke_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":2,"qualification_tier":1,"task":"ring16_acquisition_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":3,"qualification_tier":1,"task":"clockfree_audit_measurement_v1_policy_cloud_coverage_v1"},{"importance":"required","order":4,"qualification_tier":1,"task":"unused_token_hold_policy_cloud_coverage_v1"},{"importance":"required","order":5,"qualification_tier":1,"task":"ae_gan_hold_policy_cloud_coverage_v1"},{"importance":"required","order":6,"qualification_tier":1,"task":"five_word_joint_smoke_policy_cloud_coverage_v1"},{"importance":"required","order":7,"qualification_tier":2,"task":"gaussian1d_stability_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":8,"qualification_tier":2,"task":"grid100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":9,"qualification_tier":2,"task":"rotated100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":10,"qualification_tier":2,"task":"staggered100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":11,"qualification_tier":2,"task":"img_stripes2_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_bars4_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":13,"qualification_tier":2,"task":"img_blobs4_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":14,"qualification_tier":2,"task":"img_intensity2_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":15,"qualification_tier":2,"task":"mode_hold_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":16,"qualification_tier":2,"task":"vector_two_broad_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":17,"qualification_tier":2,"task":"vector_unequal_mass_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":18,"qualification_tier":2,"task":"vector_unequal_width_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":19,"qualification_tier":2,"task":"vector_anisotropic_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":20,"qualification_tier":2,"task":"vector_overlap_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":21,"qualification_tier":2,"task":"vector_spiral_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":22,"qualification_tier":2,"task":"five_word_joint_hold_policy_cloud_coverage_v1"},{"importance":"required","order":23,"qualification_tier":2,"task":"trajectory_policy_cloud_coverage_v1"},{"importance":"required","order":24,"qualification_tier":2,"task":"residual_student_policy_cloud_coverage_v1"},{"importance":"required","order":25,"qualification_tier":2,"task":"cover_leftover_policy_cloud_coverage_v1"},{"importance":"required","order":26,"qualification_tier":2,"task":"unipolar_policy_cloud_coverage_v1"},{"importance":"required","order":27,"qualification_tier":2,"task":"mid_scale_identity_policy_cloud_coverage_v1"},{"importance":"required","order":28,"qualification_tier":3,"task":"clockfree_audit_policy_cloud_coverage_v1"},{"importance":"required","order":29,"qualification_tier":3,"task":"grid100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":30,"qualification_tier":3,"task":"rotated100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":31,"qualification_tier":3,"task":"staggered100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":32,"qualification_tier":3,"task":"ring_hold_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":33,"qualification_tier":3,"task":"ring_extension_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":34,"qualification_tier":3,"task":"target_shift_recovery_policy_cloud_coverage_as_served_v1"}],"description":"As-served law of the Atlas/E22 policy-cloud scoped tests, at their selected-view tiers. Each as-served variant is its clean policy-cloud variant with one declared difference: measured samples keep the learned output noise exactly as GANTrainer serves it (learned sigma with its policy floor), with state-selected weights, the actual latent policy and isolated evaluation streams. Law-independent tests (the two-pole parameter measurement, the clock audits and the ownership-blocked hosts) are shared: this view assigns their clean declarations, which run once. Original parents receive no credit.","eligibility":{},"goal":"discriminator_stability","id":"policy_cloud_coverage_as_served","reporting":{"families":["atlas","e22"],"family_totals":false},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"zero_tanh_smoke"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"model_ae_ddgan_gaussian_chain"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"model_ae_gan_multimodal"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"model_ae_reconstruction"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"model_ddgan_gaussian_chain"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"model_vae_categorical"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"model_vae_hard"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"clockfree_audit"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":23,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":24,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":25,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":26,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":27,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":28,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":29,"qualification_tier":1,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":30,"qualification_tier":1,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":31,"qualification_tier":1,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":32,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":33,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":34,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":35,"qualification_tier":1,"task":"staggered100"},{"importance":"diagnostic","order":36,"qualification_tier":1,"task":"model_ae_ddgan_bimodal_chain"},{"importance":"diagnostic","order":37,"qualification_tier":1,"task":"model_ddgan_bimodal_chain"},{"importance":"diagnostic","order":38,"qualification_tier":1,"task":"ring_hold"},{"importance":"diagnostic","order":39,"qualification_tier":1,"task":"ring_extension"},{"importance":"diagnostic","order":40,"qualification_tier":1,"task":"zero_tanh_rail_escape"},{"importance":"diagnostic","order":41,"qualification_tier":1,"task":"grid100_14k"},{"importance":"diagnostic","order":42,"qualification_tier":1,"task":"rotated100_14k"},{"importance":"diagnostic","order":43,"qualification_tier":1,"task":"staggered100_14k"},{"importance":"diagnostic","order":44,"qualification_tier":1,"task":"target_shift_recovery"},{"importance":"diagnostic","order":45,"qualification_tier":1,"task":"misgan_block_recovery"},{"importance":"diagnostic","order":46,"qualification_tier":1,"task":"misgan_block_neural_imputer"},{"importance":"diagnostic","order":47,"qualification_tier":1,"task":"ring16_bigan_continuous"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"prior-ablation-full-suite-v1","policy_change_reason":"Matched prior ablation over the dated test list technique-inventory-full-suite-2026-10-25 (49 tests) plus ring_hold, the phase that ring_extension continues, less grid100_mlp16 and grid100_res16_tanh, whose native model variants have no explicit profile and cannot bind. Every task keeps its declaration, gates, architecture, data law, initial prior distribution/capacity, initialization, budget, sampling and cadence; only the declared trainer delta varies across candidates. All assignments are diagnostic so independent tasks run without tier vetoes; checkpoint and gate dependencies still apply. No ordinary qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"}],"calibration":{"adoption_blocker":"Phase D historical calibration remains required","status":"provisional"},"eligibility":{},"goal":"quality_coverage","id":"quality_coverage","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/quality_coverage-v3.json","policy_fingerprint":"ef4e1df93f9eb536c3c49bb11a04ad0ae9e0d06a6b3dd8a5eafb7dd32cca795f","revision":3},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":4,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision9 recipe-owned prior comparisons are provisional and require bounded calibration before scientific default adoption. Archived task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"recipe-prior-refactor-k3p-diagnostic-v1","policy_change_reason":"Measure only original Tier2 questions unreached by the terminal recipe-owned ordinary run. Own namespace-specific successful prefix duplicates are charged separately; no failed result retry and no ordinary qualification credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision9 recipe-owned prior comparisons are provisional and require bounded calibration before scientific default adoption. Archived task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"recipe-prior-refactor-ka2-diagnostic-v1","policy_change_reason":"Measure only original Tier2 questions unreached by the terminal recipe-owned ordinary run. Own namespace-specific successful prefix duplicates are charged separately; no failed result retry and no ordinary qualification credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision9 recipe-owned prior comparisons are provisional and require bounded calibration before scientific default adoption. 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override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"3caeb654c3ca5e54e6352f858863629b673565328db4c70516387a1c0f10633a":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"3d293ddd79224b0127cf5e7aa76d5b62701188f15c9c51804eda6f2ba1ddbf95":["residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification; residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"406a550cab4e6e0b2101cded8fb3ed3d111d78a025f4a544e490eee529d09e4c":["cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"418d5f539afc8a7faf1c890cf052ecbc2efbd2a5ff052ffdeda183fa019057f4":["two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"4350102152181237f58c6e0b2aba58841549e4c8e75c80e5d599e7f758f0b1f1":["vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"451569e00457e621a1645aa6261be27595cd98a7e2f513a69bcc370dc06de6e1":[{"message":"nonfinite joint word public-API update","type":"FloatingPointError"}],"4611482c6f1413eddd50e37aba3d8f89b99deda053179221f5620e65ba05e1b0":["grid100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; grid100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"47324e469c1f7c5282c2d27901e0105de6de1e5eab523f0c75b547c4a3f5b513":["vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4905f54fd1bf6420ea929c64d1be87a903b6c6098e28149af4d26850396e3cf7":["rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4bebc8fe1e68631887491ddee90ccad94762e426bcc87b159358193db8bb6a54":["unused_token_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'model' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'model' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"4d4315b38a56ace20eb38381f1097d6edbafa462afd6ba3ecc41d93d32534996":["missing capability live_sampling; cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4f1b40b3f6d55d106a06d776cc25f9b2c1209c75cadfc405376a6eb0295bc80a":["img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"502807390e6ec301ae11c29d406bca37969e806ae9cd628c8b0cb1a4b0a90716":["candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"51af32469c52ca677bb548438aa4f7fcadcd784b0b1071351b9f06ea9a6dbd54":["candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"52941c3e3e652a5f450c078b61319813e82102de8d7151bfc48b876e396ad94f":["residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"563fd6daba15a67611339d870ed9bd8901557f5403f19857e0750c114fc711b2":["missing capability live_sampling; img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"57c225511ab3340184832076846041c13ec897ab6887839bbe77492d8349e2e1":["ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"583280c231446e28bc039f99084ae84673b0ea8874a1e330c64e33d90fdeb30e":["img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"59376660ec3dc2811f6819b5c8fb71bb635d0b925b1d12074725533a65b9c832":["ring16_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"5ad261e3892959526bb35598623c9a8302486643724dd9fbb9cd2d9177b2d251":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"5b05000b2bf14dfc2364709298afee5de561d97e57e5113bd4065d81b842666f":["unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"5e5d9a674cf92627f56a1ec60241cddc9d20cda5acc8c82550d3fd3561708878":["misgan_block_neural_imputer: unsupported vector target declaration"],"5e616584246e8eb43bdcfdd530cc4a75557b365cb4d1f96111b6cbe730015d63":[{"message":"dualnorm supports matrix weights and vector/scalar biases only","type":"ValueError"}],"5e7004e149ee48466bd4001537f1a1c9ead70c8cc2852486fbffaf38351e4943":["five_word_joint_smoke: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"5fef1a7ad80dd6f1c2536b8c69f3f2099d1dcd439699a634886038f7eb93eef5":["missing capability live_sampling; missing capability mog_prior; vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"605cbde7915a2bded34a4ba128b215279651bcfa2783c00a1cb9329e625b251e":["unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"6374aebdf0337bc27c23695fc95326cb68d4c4a8daafdd71a63e78f946948e97":["two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification; two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"64fddcaa36ac7e8fdcbe70e067a5c893ab4b13fae78bead1564d62d3aedc1f34":["trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"6618b216b860489312c7a236582ab5185de735e44e378f8843345376f3b6c23d":["missing capability live_sampling; missing capability mog_prior; ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6820c1e6cf5d4c74c8bc211e54509810453355c96223f07b1301641dc44445ef":["img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6b125291fdc9ca53978973e9094a082b1208ee2096bba57d97a9d30126f85458":["every joint generation/inverse check throughout the fixed continuation window"],"6bf7343c78ef60fda43eda14c3ea6a129df1bc2790bfe643a16fb89c85c38887":["missing capability live_sampling; residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6d813ff7c047336b109aa534fbcab1cc750e4d740fa2ecd12aa6d44699febb2b":["unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6e4eb5954a4290063638d56d88c5f6c65e25864dc07e117e7dc654bf30c92f4d":["two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"6ee7e8d1fc346df3fcedbb3e413d722c1b16238ea52941500fd25e5b77f926a9":["missing capability live_sampling; missing capability mog_prior; vector_unequal_width: clean/live 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contract; freeze a policy-aware task before reservation"],"762b43e63cc7c62914dfa453a2d75c9a0ddd82ceaee52cfbc810c838f8325684":["residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"78c6dd2089245815c8352d92b3871e53ef96e6b5d27abaace269e3b2500093e2":["mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"7b6a0564bead8c1e5475ebbded6a513c204fef4f5b6280108b581d29161d16eb":["five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"7c2df6732754f2a3008b670ac01338a9599017701e6e1237b4efbdce370db4b7":["recomputed origin point-mass contraction gates"],"7cf72caa25682e24e8e5ef3b6f310e952da53afb4ea86924185b6bf9c403f265":["request cancelled"],"7db6602eeacce97375814cf40351d88e8abafa225890438df64885de9aa0307c":["mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"81b8a71acc690421360f5f1175d25dd278b0d126d7c8a01cfd31c098d40bbfa4":[{"message":"nonfinite public training loss","type":"FloatingPointError"}],"825d0ee2b0bc00c6087b56fa812fd87736178838ece1abedc8280d07b7c33a38":["task wall-time budget exhausted"],"82d59cd8e091feb4d53336eb5af2ca06ed9b8228f3e7859c201d176df6c149e1":["mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"847e12383d5a1b4fb3c760cd9387e236d9c68eba5265b64086396b075c8716e5":["required capability unavailable: mog_prior"],"851fbfe90f3ad12da1b3cc2525967cec258941735cdb2ae1a9bf6dbea0f53300":["missing capability live_sampling; trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"87a5d9a6f746bde0002cd85986c8bbaac51e70a44735a9991e18a7d6693ab68e":["vector_unequal_width: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_unequal_width: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"89e66a7f88226725edfd065a15fa80ffc63fedd3cabbadc546afe459ee1ae58d":["two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"93a202c0a0a62594e1fe17f47ae20ec64d86a0a1a114dc0b86eff5edc4d1fb5d":["vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"95643ed047dbe99ff3505b6abcf0e36bf201480f3151e33ddb1f81ebc2457947":["vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"96eb80f93a1b990694a11b74a370d834940f775552082d84ee1d01dd69b82b05":["ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"9721e47f6d5544ec64471210d4222a9a18d1cff699c9f371d6b0e08be6f4da73":["ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"97ecd42c537bfd0bedc7d7d2e7159d9b44407423c076e15b0aa09694718a97ed":["unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"98c68c0f4d39c339df7b202a66ea85f6be681ba00f411df9020d834084c5a548":["trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"9b01470baa692981a922523df40a5c4987e51151c327ee1c583686d2f06c2cd7":["missing capability live_sampling; missing capability mog_prior; ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"9b587073b58f83c9cdf6355c99db1b2def7a10a1a5b6b5f4ea75225f0daa3963":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"9c3d512ae49352e467d73ba92619052910f3202a192d3bf70e25ed368de851c9":["missing capability live_sampling; missing capability mog_prior; rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"a1ed7a8fcf9504cc65b9cbbeba62a31c54632a7ff77af397034383c42e583c26":["no compatible result"],"a2941bcc4cdfa5855753bab05ca758b92015eefb86b9bc7bef8f88ea6d6f0f01":["img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"a313146d5fd402a29b14dad9e3e76334a8ac922af53810939be167734ac27d83":["unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"ac6e3c639e41902ea72329fca12201da1f614592bde22eee1a87045789b71933":["vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"aceab877126bc345111d1127224300bf84bb7f100adb6c9ea482be38247c3858":["missing capability live_sampling; missing capability mog_prior; vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b295d5b30af5f4ac345107b02257a4a5fcc22ca3953331ee7db77c42ebeaa760":["candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"b2c5ccccf97584a0610ef0f4178ab72e914e201eb85e5f3eeab654fa2be19759":["vector_overlap: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_overlap: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b76d0e0642ef17f78e0c384104fc6ec3c16b1b1a70875de76b23ccb2faae92f4":["mode_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; mode_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b83a5075c9f5584242838a5c55aa08e2bd989eea3e4e7d526ed61cb5700b0ee8":["ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"bd29bc9feaa25fd62eac0b395418065a4b9f58ccbd0b94fcbb704106d566cf0a":["trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"bf2abeea7c7f263c257bce87ff5ade096714c798d0e6ae5120b59a6edc3cc8ee":["five_word_joint_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c0b1dc35fb3bc568a1fbf1b3b6b665643db82f1232e83e77b4152f7148cb9f74":["trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c10c081d788c76989c9c7371aefca30f9577bbce01f5ec16cba8e3655ebda212":["recomputed every extension observation without selecting another window"],"c12111415549f6ed0418cbc5efa2cd8c059214fcebd6e00266fdf9a819d1f667":["encoder did not perform an intended optimizer update"],"c269df22fe2a71493007542b9721b8855bfd4aea2e60fee7f234882fe49df78f":["unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c4127c72e2ca43185442296f17be3c641e4c8f19f607187ca464d122bcee3cec":["missing capability live_sampling; missing capability mog_prior; ae_gan_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c98d17881bc0d74ed1b3748f4116ef5edf447ee736231a76e2c83456edc84b37":["misgan_block_recovery: unsupported vector target declaration"],"cc230c0668b687620dd92d2a9aaba920f31a1ff3e603daab2907131756108c44":["cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"cce12ff0c93870cf05bdbde22d11e154b87b99ab361d85cd7fb70dcae1e0c9d5":["five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"cd69bbe157de011909f83427c96d694e2c31b34aaef69b3d95b1249ff858154e":["cover_leftover: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'batch_size' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'conditioning' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'model' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_classes' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_particles' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'total_steps' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"ce15de8d698b148054c175e75657fbaaf00523681642801c4d07f0afd58a90fe":["declared state/horizon/cadence/restart comparisons agree; source audit bound"],"d038652b7052306bc3c4f9ab496f4b3c94a016bf3d80171fb8eebc61d5c7caed":["native model variants require an explicit profile; grid100_mlp16: native model variants require an explicit profile"],"d33da45857a67b1f4b6a62a1b949c73ec6e07414f5d99255fa635028871cc388":["missing capability live_sampling; two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"d533ccd4f997bf3aeee7084f6a23e90866a7b634ef210c9fecc6e3f69cf148ef":["any scheduled full pass with independent same-state confirmation"],"d6ea972f3f010d66f209157bec9955ee86ae3c5828c42a85a91d81e3fe3e9846":["two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"d89a35bbce5dd67ae82427030fa702e770a3124bff20ed0a628a9d4ed28423da":["recomputed complete live curve and terminal suffix"],"dc794520a909d9b0613503418f0a4d8fd74cd0901a3eccbc9408a304d54f830d":["rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"df22780e81ad625b634114f722ed22ebcb21451a7f218aba26275e114d0d7dd0":["missing capability live_sampling; img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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cover_leftover: recipe override 'model' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_classes' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_particles' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'total_steps' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"edc65ccda4cff946f1ffcb06c0087e9109416b36f09dd6a722bf2cd43a6ae0c1":["gaussian1d_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"f01f37008b4042b30a07a42f8e5f9a2422bebfdddd0ec10f136c4551f5793795":["ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"f31accb31fd82181ee407e282ccc685103c0eee8c5ad4bbe060de02f3e144676":["zero_tanh_rail_escape: zero_tanh_rail_escape: unsupported tanh host zero_tanh_rail_escape; only zero_tanh_smoke is 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It couples real and generated samples via scale-free entropic Optimal Transport (Sinkhorn-Knopp), regularizes critic gradients along real endpoints, fake endpoints, and Sinkhorn transport chords using a two-regime Elastic Born-Infeld potential with a zero-mean logit gauge, regularizes the particle prior with a degree-of-freedom-aware Stratified Blue-Noise Particle (SBNP) tether/repulsion law, and applies scale-free Harmonic Mode Capture thermal cooling once all modes are captured.","pseudocode":["Choose an adversarial loss, optimizer and constant learning rates.","For each task-owned training update:"," Sample real x and latent z from the task prior P; compute y=G(z)."," Compute scale-free Sinkhorn coupling Pi between x and stop_gradient(y)."," Sample stratified Sinkhorn transport chords x_chord = (1 - u) stop_gradient(y) + u x_pi."," Evaluate EBI potential on input-gradient norms at x, stop_gradient(y) and x_chord plus zero-mean logit gauge."," Apply Harmonic Mode Capture thermal cooling when bidirectional 95th-percentile nearest-neighbor transport distance is inside the capture basin."," Backpropagate critic adversarial loss + BISPF penalty and step D."," With D fixed, recompute differentiable fake samples y=G(z) and evaluate generator adversarial loss + SBNP prior regularizer."," Step G, trainable prior P and encoder E when present using constant learning rates."],"references":[{"component":"Entropic Optimal Transport Sinkhorn-Knopp coupling used to construct transport chords and scale-free transport residuals.","title":"Sinkhorn Distances: Lightspeed Computation of Optimal Transport","url":"https://arxiv.org/abs/1306.0895"},{"component":"Base first-order optimizer family supported alongside DualNorm.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Relativistic pairing foundation extended by Sinkhorn Relativistic Pairing (SRpGAN).","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"}],"sources":["particlegan/bispf.py","particlegan/recipes.py","particlegan/training.py","configs/forge/ideas/bispf-v1.json","configs/forge/ideas/bispf-v2.json","configs/forge/studies/bispf-v1-study.json","configs/forge/studies/bispf-v2-study.json","reports/forge/bispf/README.md"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior with $N$ locations in $\\mathbb R^{d_z}$, $x$ a real batch, $z\\sim P$ a latent batch and $y=G(z)$ the generated batch. $\\Pi$ is the doubly-stochastic Sinkhorn coupling computed from median-normalized squared Euclidean distances $C_{ij}=\\lVert x_i-y_j\\rVert_2^2/\\bar d^2$. $x_{\\mathrm{chord}}=(1-u)y+u x_{\\pi}$ is a stratified Sinkhorn transport chord. $g_r=\\nabla_x D(x)$, $g_f=\\nabla_y D(y)$, and $g_c=\\nabla_{x_{\\mathrm{chord}}} D(x_{\\mathrm{chord}})$ are input gradients; $d$ counts critic-input coordinates, $\\kappa$ is the cap threshold, $\\lambda_{\\mathrm{floor}}$ the harmonic floor weight, $\\lambda_{\\mathrm{cap}}$ the elastic cap weight, and $\\gamma_{\\mathrm{gauge}}$ the zero-mean logit gauge weight.","training_details":{"averaging":"Generator EMA decay=$0$ and serve_average=$0$; all evaluations score live unaveraged weights.","critic_penalty":"Two-regime Elastic Born-Infeld Transport-Chord Regularizer (EBI-TCR) evaluated on real, fake and Sinkhorn transport-chord inputs ($\\kappa=1$, sharpness $\\beta=30$, harmonic floor $\\lambda_{\\mathrm{floor}}=0.0005$, chord blend $0.02$) plus a zero-mean logit gauge ($\\gamma_{\\mathrm{gauge}}=0.0005$). 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Selected Atlas (`atlas-particle-normal-v4`) pairs the `particles` prior with `NormalNoiseManipulator(sigma=0.0065)` (`standardize=False`), `birth_death_cells=256`, clean fixed output noise (`output_noise_mode='fixed'`, `output_noise_std=0.0`), clock-free critic acquisition (`d_guard_ratio=0.0`, `d_guard_min_steps=0`), and a KA2 pre-anchor critic-only `LossSurprise` reopen guard. Historical particle-cloud incumbents and served/noisy-sampling cohorts remain separate.","Base Atlas differs from E22 through `birth_death_backend='auto'`, `birth_death_cells=128` (`256` in `atlas-particle-normal-v4`, routing `N=256` vector hosts past under-resolved `k=7` kNN turnover) and `reopen_guard='settled'`. Automatic selection is capability/evidence constrained; the configured cell count is a threshold/grid preset, not a promise that every host uses feature cells.","The settled reopen guard suppresses acquisition-time and known-loss-epoch excursions from looking like a moved target, and `atlas-particle-normal-v4` folds critic-only `SettledReopenGuard` witnesses before `ka2_anchor_started` into the calm baseline while preserving post-anchor shift detection. Current KA2 gates its Phase A to blend handover on optimizer second-moment readiness $1-\\beta_2^t<0.55085$ (equivalent to $800$ steps at $\\beta_2=0.999$ without an explicit call-count clock), while archived snapshots retain their original executed source contracts."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Current KA2 gates the Phase A to blend transition by optimizer second-moment readiness $1-\\beta_2^t$ without an explicit step-count clock; at $\\beta_2=0.999$, $1-\\beta_2^t<0.55085$ holds for steps $1\\dots 799$ and the equal blend starts at step $800$ (matching the historical $n<800$ applied-call warmup). Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier. The independent-row preset uses $\\lambda=3$, $\\kappa=1$, $w=1$; game trust and drift evidence also modulate anchor release/tracking.","label":"KA2 second-moment readiness handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&1-\\beta_2^t<0.55085,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&1-\\beta_2^t\\ge0.55085.\\end{cases}"},{"explanation":"This is the stationarity ladder before policy corrections. Displacement tests use scales $b$ and $2b$; mixed or inconclusive evidence enlarges the observation window. Row-evidence holds, critic payoff damping and its relative table-rate floor can modify the applied rate. Optimizer surprise can reopen a ladder; Atlas additionally requires its settled-state guard.","label":"Stationarity learning-rate ladder","latex":"\\eta_j=\\eta_j^{(0)}s_j,\\qquad s_j^{\\mathrm{next}}=\\begin{cases}s_j/2,&\\text{stationary},\\\\\\min(1,2s_j),&\\text{drift},\\\\s_j,&\\text{no accepted rate change}.\\end{cases}"}],"overview":"Atlas extends E22's independent-row policy with automatic selection of a bounded critic-feature birth/death backend and a settled-state guard on surprise reopening. It retains KA2 critic regularization, adaptive per-group stationarity rates, row evidence, and state-selected serving without introducing a new adversarial loss. Selected Atlas (`atlas-particle-normal-v4`) pairs an unstandardized `particles` prior plus `NormalNoiseManipulator(sigma=0.0065)` (`birth_death_cells=256`) with clean fixed output noise (`0.0`), clock-free critic acquisition (`d_guard_ratio=0.0`, `d_guard_min_steps=0`), and a KA2 pre-anchor critic-only `LossSurprise` reopen guard.","pseudocode":["For each training iteration:"," Select a supported feature backend automatically (256 feature cells in selected atlas-particle-normal-v4; 128 in base Atlas)."," Restore the fast training state if the previous inference state used averages."," Set stationarity LRs; permit surprise reopen only when the settled guard (and pre-anchor critic-only filter) admits the excursion."," Damp only the critic's rate using payoff error; retain the policy's floor relative to table motion."," Draw real x and prior z (with additive NormalNoiseManipulator sigma=0.0065 in selected v4); generate detached fake with the declared output-noise law."," Compute the paired critic loss and add KA2 regularization shown above."," g_r and g_f are gradients of the critic with respect to its detached real/fake inputs."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Measure real-input gradient proximity to the critic average; use zero when the anchor first starts."," Use early-only KA2 while optimizer second-moment readiness 1 - beta_2^t < 0.55085 (steps 1..799 at beta_2=0.999), then the equal early/late blend."," Its gradient anchor release/tracking also reads the policy's game-trust and drift evidence."," Backpropagate; apply any configured critic spike guard (disabled in selected v4), take its Adam/AMSGrad step, record surprise."," Freeze D parameters; draw fresh latent rows, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G, latent rows and any learnable output-noise parameter."," Observe row gradients. A2 applies when some rows have zero gradient, cumulative observed fraction < .5, and Adam state exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Apply the policy corrections to statistically flagged hot rows and exclude those rows from settling tests."," Update G/prior; record applied displacements for the next stationarity decision."," Update G/prior averages over the table tester's declared serving window."," Use support evidence to clone/replace eligible particle rows; copy optimizer/history and rebase affected tests."," Serve the averaged state only when the policy's settlement condition allows it; otherwise serve the fast state."," Preserve the declared served sampling noise and state-selection identity in evaluation."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"},{"component":"Related statistical learning-rate adaptation. The repository uses its own displacement tests and policy.","title":"Using Statistics to Automate Stochastic Optimization","url":"https://papers.neurips.cc/paper_files/paper/2019/hash/e1054bf2d703bca1e8fe101d3ac5efcd-Abstract.html"}],"sources":["configs/forge/ideas/atlas-particle-normal-v4.json","configs/forge/ideas/atlas.json","particlegan/priors.py","particlegan/recipes.py","particlegan/policy.py","particlegan/continuous.py","particlegan/feature_policy.py","particlegan/birth_death.py","particlegan/row_evidence.py","particlegan/ka2.py","reports/forge/family-winner-round1/E22_POLICY_READOUT.md","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $t$ is the critic Adam step state with second-moment decay $\\beta_2$ and readiness $1-\\beta_2^t$, $n$ counts applied penalty calls, $W\\in\\{0,1\\}$ releases or restores the anchor, and $\\alpha\\in[0,1]$ is the moment-surprise tracking state. $\\delta$ is critic EMA decay and $\\theta$ the live critic parameters. Moment surprise compares critic gradient RMS with completed Adam second-moment RMS. $j$ indexes optimizer groups, $\\eta_j^{(0)}$ is a group's base LR, $s_j$ its adaptive multiplier and $b$ the stationarity block size in intrinsic time. Intrinsic time accumulates applied LR divided by base LR. Game trust is policy confidence derived from optimizer surprise; drift means statistically detected change in update behavior. KA2 anchors critic input gradients; A2 separately dampens sparse latent-row responses. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"serve_average=$4$ maintains generator/prior averages over four table-tester blocks. The update rate is table LR scale / ($4$ times block size), with the $0.995$ EMA fallback when no tester rate is available. Serving selects fast or averaged state according to settlement evidence; the critic's adaptive gradient anchor is a separate average. A selected feature-cell backend has its own paired-average eligibility check; the recorded backend decides when average serving is valid.","critic_penalty":"KA2 $\\lambda=3$ and $\\kappa=1$, using early real R1/fake RMS caps followed by an equal early/late blend and adaptive critic-gradient anchoring. Current KA2 gates the Phase A to blend handover by optimizer second-moment readiness $1-\\beta_2^t<0.55085$ (matching $800$ steps under $\\beta_2=0.999$ without an explicit step-count clock). The policy modulates anchor release and EMA tracking using its own evidence.","damping_and_guards":"A2 dampens eligible sparse latent-row Adam responses by gradient agreement, with scale $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$ in $[0.5,1]$. It activates only when some rows have zero gradient, cumulative observed-row fraction is below $0.5$, and Adam state exists; missing row history gives scale $1$. RowEvidence identifies unusually inconsistent transport, can hold table LR descent, excludes flagged rows from settling tests and corrects hot-row motion. Birth/death uses real-support evidence in standardized critic features and copies/rebases state after a move. Atlas adds `reopen_guard='settled'`: a surprise excursion must begin after network contraction, with known KA2 loss epochs rebased, and `atlas-particle-normal-v4` folds pre-anchor (`ka2_anchor_started=False`) critic-only `LossSurprise` witnesses into the calm baseline while preserving post-anchor shift detection. Automatic feature selection (`birth_death_cells=256` in selected v4; `128` in base Atlas) chooses a feature-cell, kNN, or population-bypassed path and records the resolved backend.","gradient_clipping":"Selected `atlas-particle-normal-v4` disables the step-gated critic spike guard (`d_guard_ratio=0.0`, `d_guard_min_steps=0`) for clock-free critic acquisition. Base Atlas retains the inherited guard: after $200$ Adam steps, clip each tensor relative to $5$ times its bias-corrected second-moment RMS, using the running maximum denominator under AMSGrad. Row-evidence corrections and A2 modify other responses separately; there is no added fixed global norm clip.","learning_rates":"Base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. No total training horizon drives the LR: per-group two-scale displacement tests halve settled rates, restore rates on drift and enlarge inconclusive observation windows. Surprise detectors can reopen the ladders and restart generator moments when admitted by the settled guard. The critic also receives payoff-error damping; external update/time limits are budgets, not LR schedules.","loss":"Paired relativistic logistic with KA2 input-gradient regularization. Selected `atlas-particle-normal-v4` fixes generated-output noise at zero; base Atlas jointly learns the generated-output noise scale through the generator loss. Caller-owned joint/conditional objectives must explicitly bind their roles and guard contexts.","noise":"Critic-input noise is zero. Selected `atlas-particle-normal-v4` pairs an unstandardized `particles` prior with additive `NormalNoiseManipulator` ($\\sigma=0.0065$) and fixed zero generated-output noise (`output_noise_mode='fixed'`, `output_noise_std=0.0`). Base Atlas uses learnable generated-output noise initialized at standard deviation $0.029$ with a settlement/mobility-dependent floor. 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Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"32315575c55238c99cdea7c6b153ffe82b097ffa7230636f3a8980ca0395f54b","id":"staggered100_14k","task_sha256":"4630e532f304a9c3c3236d1dd514fc7b69a7b98372d25e2bcd4c9e8fd08874db"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.967, mass TV 0.0565 (needs <= 0.06), center RMS (sigma) 0.503 (needs <= 0.2) FAIL, |cov trace bias| 0.0129 (needs <= 0.1), radial KS 0.0563 (needs <= 0.04) FAIL; accuracy score 1.25 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"566c2c10102e44a0bb4165bd5df87ec4","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"as_served","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_14k_policy_cloud_coverage_as_served_v1"},"staggered100_14k_policy_cloud_coverage_v1":{"attempt_id":"d734ab743b054d71a9debbb49b69b6eb","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (clean law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"32315575c55238c99cdea7c6b153ffe82b097ffa7230636f3a8980ca0395f54b","id":"staggered100_14k","task_sha256":"4630e532f304a9c3c3236d1dd514fc7b69a7b98372d25e2bcd4c9e8fd08874db"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.994, mass TV 0.0565 (needs <= 0.06), center RMS (sigma) 0.556 (needs <= 0.2) FAIL, |cov trace bias| 0.861 (needs <= 0.1) FAIL, radial KS 0.473 (needs <= 0.04) FAIL; accuracy score 6.04 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"d734ab743b054d71a9debbb49b69b6eb","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"clean","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_14k_policy_cloud_coverage_v1"},"staggered100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_affine_square_named_v1"},"staggered100_policy_cloud_coverage_as_served_v1":{"attempt_id":"7a6ef4f8dce743b699fc549782e7175f","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (as served law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. Test definition matches the recorded run.","current_contract":"matches","device":null,"execution_recorded":true,"metrics":{},"policy_parent":{"evaluation_fingerprint":"f659a437977477685011168eb644108a0ce5b4dc21d145bea709cc307d8e3105","execution_fingerprint":"b97e8a1a77efa5c71d7ba43817991ac81f9e255d90af975c462b12419e0a03b8","id":"staggered100","task_sha256":"a4b20718512db5cb3193a7a919095651ff179fbc6eea4977b5bc54c1a145541f"},"reason":"Coverage gate FAIL; final live accuracy checks 0/5 passed; independent holdout fails (precision 0.957, mass TV 0.066 (needs <= 0.06) FAIL, center RMS (sigma) 0.493 (needs <= 0.2) FAIL, |cov trace bias| 0.106 (needs <= 0.1) FAIL, radial KS 0.0922 (needs <= 0.04) FAIL; accuracy score 1.73 (mean ratio to those limits)). PASS needs the coverage gate, every final live check and the holdout.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"run_attempt":{"attempt_id":"7a6ef4f8dce743b699fc549782e7175f","attempted":true,"evidence":"reports/forge/atlas-e22-policy-cloud-20261015/README.md","measurement_law":"as_served","origin":"new_attempt","reason":"coverage, sustained live accuracy, or independent holdout failed","status":"FAIL"},"status":"FAIL","task_id":"staggered100_policy_cloud_coverage_as_served_v1"},"staggered100_policy_cloud_coverage_v1":{"attempt_id":"72db5524ea334572b207c05ca3004660","changed_contract_fields":[],"coverage_reason":"Separately scoped policy-cloud diagnostic (clean law); frozen source 43b7e079c67a, candidate revision 7fb961e1e2fc. 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Canonical E22 uses independent equal-mass ParticlePrior rows. The selected recorded row is historical_incumbent at source 928b485ffbe6e17d79b41d307ae8b6275489b37a; its state-selected/served-noisy evidence does not fill clean/live learned-MoG gates.","Schedule-free LR is narrower than a wholly clock-free algorithm: the KA2 penalty has an applied-call warmup and the statistical policy counts its own observations.","E22's default birth/death backend is kNN, with standardized critic features and an isolation test. The separate e22_routed preset is a different conditional dense-bank adaptation; it must not be substituted for these independent-row receipts."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"The first $799$ applied penalty calls use $A$ alone. Starting at call $800$, the equal blend operates even at constant LR. Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier. The independent-row preset uses $\\lambda=3$, $\\kappa=1$, $w=1$; game trust and drift evidence also modulate anchor release/tracking.","label":"KA2 applied-call handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&n<800,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&n\\ge800.\\end{cases}"},{"explanation":"This is the stationarity ladder before policy corrections. Displacement tests use scales $b$ and $2b$; mixed or inconclusive evidence enlarges the observation window. Row-evidence holds, critic payoff damping and its relative table-rate floor can modify the applied rate. Optimizer surprise can reopen a ladder.","label":"Stationarity learning-rate ladder","latex":"\\eta_j=\\eta_j^{(0)}s_j,\\qquad s_j^{\\mathrm{next}}=\\begin{cases}s_j/2,&\\text{stationary},\\\\\\min(1,2s_j),&\\text{drift},\\\\s_j,&\\text{no accepted rate change}.\\end{cases}"}],"overview":"E22 combines the KA2 critic with a continuous training policy over independent learned particle rows. Statistical displacement tests reduce or restore each optimizer group's learning rate; row evidence can hold suspect transport and birth/death operations replace poorly supported rows. Learned output noise and state-selected averaged serving are part of this formulation. These controls are repository-specific.","pseudocode":["For each training iteration:"," Restore the fast training state if the previous inference state used averages."," Set each group LR from its stationarity ladder; observe optimizer surprise and any eligible reopen event."," Damp only the critic's rate using payoff error; retain the policy's floor relative to table motion."," Draw real x and prior z; generate detached fake with the learned output-noise law."," Compute the paired critic loss and add KA2 regularization shown above."," g_r and g_f are gradients of the critic with respect to its detached real/fake inputs."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Measure real-input gradient proximity to the critic average; use zero when the anchor first starts."," Use the early-only KA2 penalty for calls 1..799, then the equal early/late blend shown above."," Its gradient anchor release/tracking also reads the policy's game-trust and drift evidence."," Backpropagate; apply the Adam-state critic spike guard, take its Adam/AMSGrad step, record surprise."," Freeze D parameters; draw fresh latent rows, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G, latent rows and learned log output-noise sigma."," Observe row gradients. A2 applies when some rows have zero gradient, cumulative observed fraction < .5, and Adam state exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Apply the policy corrections to statistically flagged hot rows and exclude those rows from settling tests."," Update G/prior; record applied displacements for the next stationarity decision."," Update G/prior averages over the table tester's declared serving window."," Use support evidence to clone/replace eligible particle rows; copy optimizer/history and rebase affected tests."," Serve the averaged state only when the policy's settlement condition allows it; otherwise serve the fast state."," Preserve the declared served sampling noise and state-selection identity in evaluation."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"},{"component":"Related statistical learning-rate adaptation. The repository uses its own displacement tests and policy.","title":"Using Statistics to Automate Stochastic Optimization","url":"https://papers.neurips.cc/paper_files/paper/2019/hash/e1054bf2d703bca1e8fe101d3ac5efcd-Abstract.html"}],"sources":["configs/forge/ideas/e22.json","particlegan/recipes.py","particlegan/ka2.py","particlegan/k3p.py","particlegan/policy.py","particlegan/continuous.py","particlegan/row_evidence.py","particlegan/birth_death.py","reports/forge/family-winner-round1/E22_POLICY_READOUT.md","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/policy.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $n$ counts applied penalty calls, $W\\in\\{0,1\\}$ releases or restores the anchor, and $\\alpha\\in[0,1]$ is the moment-surprise tracking state. $\\delta$ is critic EMA decay and $\\theta$ the live critic parameters. Moment surprise compares critic gradient RMS with completed Adam second-moment RMS. $j$ indexes optimizer groups, $\\eta_j^{(0)}$ is a group's base LR, $s_j$ its adaptive multiplier and $b$ the stationarity block size in intrinsic time. Intrinsic time accumulates applied LR divided by base LR. Game trust is policy confidence derived from optimizer surprise; drift means statistically detected change in update behavior. KA2 anchors critic input gradients; A2 separately dampens sparse latent-row responses. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"serve_average=$4$ maintains generator/prior averages over four table-tester blocks. The update rate is table LR scale / ($4$ times block size), with the $0.995$ EMA fallback when no tester rate is available. Serving selects fast or averaged state according to settlement evidence; the critic's adaptive gradient anchor is a separate average.","critic_penalty":"KA2 $\\lambda=3$ and $\\kappa=1$, using early real R1/fake RMS caps followed by an equal early/late blend and adaptive critic-gradient anchoring. The applied-call warmup at $800$ remains, even though the LR controller has no fixed horizon. The policy modulates anchor release and EMA tracking using its own evidence.","damping_and_guards":"A2 dampens eligible sparse latent-row Adam responses by gradient agreement, with scale $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$ in $[0.5,1]$. It activates only when some rows have zero gradient, cumulative observed-row fraction is below $0.5$, and Adam state exists; missing row history gives scale $1$. RowEvidence identifies unusually inconsistent transport, can hold table LR descent, excludes flagged rows from settling tests and corrects hot-row motion. Birth/death uses real-support evidence in standardized critic features and copies/rebases state after a move. These controls require the independent-row policy contract.","gradient_clipping":"The critic spike guard remains: after $200$ Adam steps, clip each tensor relative to $5$ times its bias-corrected second-moment RMS. With AMSGrad it uses the running maximum denominator that Adam will apply. Row-evidence corrections and A2 modify other responses separately; there is no added fixed global norm clip.","learning_rates":"Base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. No total training horizon drives the LR: per-group two-scale displacement tests halve settled rates, restore rates on drift and enlarge inconclusive observation windows. Optimizer surprise can reopen the ladders and restart generator moments. The critic also receives payoff-error damping; external update/time limits are budgets, not LR schedules.","loss":"Paired relativistic logistic with KA2 input-gradient regularization. Scalar GANTrainer jointly learns the generated-output noise scale through the generator loss. Caller-owned joint/conditional objectives must explicitly bind their roles and guard contexts.","noise":"Critic-input noise is zero. Generated-output noise is learnable, initialized at standard deviation $0.029$, with a policy settlement/mobility-dependent floor. DV12 also perturbs latent rows from support statistics. These sampled laws are part of served evidence; a clean diagnostic is a different cohort.","optimizer":"KA2 critic Adam and shared K3P generator/prior Adam, with AMSGrad enabled and $\\beta_1=0$, $\\beta_2=0.999$ in the independent-row preset. 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result retains its executed source, recipe, task prior, initialization, budget and sampling law. These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","The current selected candidate is k3p--0b37e98a01e3cc7c0f4b3325b43f9e6d569de81e4f890f20942f0fc33221305c, recorded at source 928b485ffbe6e17d79b41d307ae8b6275489b37a. Its .006375 rate and prior multiplier 1 differ from the canonical public defaults.","The critic's EMA anchor is a training regularizer; the generator/prior EMA is a separate optional evaluation state. Neither supplies another configuration's gate credit."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"K3P couples a changing critic penalty to the critic's applied learning rate. At high rates it suppresses real-data input gradients and caps fake gradients; as the rate falls it adds real/fake caps and pulls the critic's input gradients toward an averaged critic. Its Adam wrappers also limit critic gradient spikes and damp inconsistent updates to sparsely sampled latent rows. These extra rules are repository-specific.","pseudocode":["For each training iteration:"," Set role-specific learning rates and noise from the resolved recipe or policy."," Draw real x and latent z; fake = detach(G(z) + generated-output training noise)."," Dn(u) evaluates D(u + fresh critic-input noise on each forward); D_bar_n uses the same noise law with fresh draws."," Compute the paired critic adversarial loss shown above."," g_r = gradient(Dn(x), x); g_f = gradient(Dn(fake), fake), using detached input copies."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," r = last applied critic LR / largest recorded critic LR; f = resolved network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1:"," When the anchor first becomes active, copy D into D_bar and set proximity = 0 for that call."," On later blended calls, measure real-input gradient proximity to the noise-wrapped critic average."," Add the early/late blended penalty shown above using the active anchor weight."," At s=1 evaluate A alone; no anchor is evaluated or started."," Lazy cadence k applies the penalty every k-th step at k times its declared strength."," Backpropagate L_D; apply the critic spike guard, then take the critic Adam step and update its record/anchor."," Freeze D parameters; draw a fresh latent batch and recompute fake and both critic scores."," Compute the paired generator adversarial loss from the updated critic."," Backpropagate L_G through G and the learned prior."," For an eligible sparse latent table with existing Adam state: if some rows received no gradient and"," cumulative observed-row fraction < max_rate, multiply each row's Adam response by rho."," Use the A2 cosine-agreement multiplier shown above; without row history use an unchanged response."," Apply direct sample-particle response gain only when the host explicitly binds that separate parameter group."," Take the generator/prior Adam step; maintain configured averages; score with the task's declared law."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p.json","configs/forge/configurations/k3p--0b37e98a01e3cc7c0f4b3325b43f9e6d569de81e4f890f20942f0fc33221305c.json","particlegan/recipes.py","particlegan/grad_regularizers.py","particlegan/k3p.py","particlegan/gan_loss.py","particlegan/policy.py","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/k3p.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"The critic anchor starts at the first blended penalty call, then its parameter EMA has decay $0.999$. 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result retains its executed source, recipe, task prior, initialization, budget and sampling law. These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Selected ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f at source 928b485ffbe6e17d79b41d307ae8b6275489b37a uses base LR .006375 and prior multiplier 1, versus public defaults .00425 and 2.","KA2's controller is independent of LR; it still has a fixed applied-call warmup. Its ordinary recipe also retains explicit LR/noise schedules. This should not be described as an entirely clock-free formulation."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"The first $799$ applied penalty calls use $A$ alone. Starting at call $800$, the equal blend operates even at constant LR. Moment-surprise ratios release $W$ above $3$ and restore it below $1.75$ once reference history exists. Lazy skips do not increment $n$; an applied lazy penalty includes its cadence multiplier.","label":"KA2 applied-call handover","latex":"R_{\\mathrm{KA2}}=\\begin{cases}\\dfrac{\\lambda}{2}A,&n<800,\\\\\\dfrac{\\lambda}{2}\\left[\\dfrac12 A+\\dfrac12\\left(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}}\\right)\\right],&n\\ge800.\\end{cases}"},{"explanation":"After the critic Adam step, the controller records surprise and updates the started anchor using its last penalty-call tracking decision. Here $\\delta_t\\in[0.9,1]$: calm tracking can freeze the average, while surprise speeds it up. First activation and sustained-surprise reseeding copy the live critic instead of taking this ordinary EMA update.","label":"KA2 adaptive critic average","latex":"\\delta_t=1-0.1\\alpha_t,\\qquad \\bar\\theta_t=\\delta_t\\bar\\theta_{t-1}+(1-\\delta_t)\\theta_t."}],"overview":"KA2 replaces K3P's learning-rate-driven handover with a critic-local controller. It uses the early penalty for 799 applied calls, then mixes early and late penalties equally. Adam moment surprise releases or restores the critic-gradient anchor and controls how quickly its averaged critic follows the live critic. It shares K3P's spike guard and eligible sparse latent-row damping.","pseudocode":["For each training iteration:"," Set role-specific learning rates and noise from the resolved recipe or policy."," Draw real x and latent z; fake = detach(G(z) + generated-output training noise)."," Dn(u) evaluates D(u + fresh critic-input noise on each forward); D_bar_n uses the same noise law with fresh draws."," Compute the paired critic adversarial loss shown above."," g_r = gradient(Dn(x), x); g_f = gradient(Dn(fake), fake), using detached input copies."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," Compute the late unnormalized real/fake cap term B_caps shown above."," Increment the applied penalty-call counter; lazy skips do not advance it."," Calls 1..799: apply the early term A only."," From call 800:"," When the anchor first becomes active, copy D into D_bar and set proximity = 0 for that call."," On later blended calls, measure real-input gradient proximity to the noise-wrapped critic average."," ratio = recent median critic moment surprise / its initial reference median."," Release W to 0 when ratio > 3; restore W to 1 when ratio < 1.75."," Use the equal early/late KA2 blend with the current anchor release weight."," Add penalty every configured k-th step, multiplying its strength by k for lazy application."," Backpropagate L_D; apply the critic spike guard, then take the critic Adam step."," After Adam, record moment surprise; update/reseed the critic EMA using the last penalty-call tracking decision."," Freeze D parameters; draw a fresh latent batch and recompute fake and both critic scores."," Compute the paired generator adversarial loss from the updated critic."," Backpropagate L_G through G and the learned prior."," For an eligible sparse latent table with existing Adam state: if some rows received no gradient and"," cumulative observed-row fraction < max_rate, multiply each row's Adam response by rho."," Use the A2 cosine-agreement multiplier shown above; without row history use an unchanged response."," Apply direct sample-particle response gain only when the host explicitly binds that separate parameter group."," Take the generator/prior Adam step; maintain configured averages; score with the task's declared law."],"references":[{"component":"Base optimizer. Guard, damping and controller rules are repository additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Zero-centered input-gradient regularization; not the full repository formulation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/ka2.json","configs/forge/configurations/ka2--093c6f2bd41768a3f99e3470d24845f6a99ebc0bfbe9c794aff871a5a466770f.json","particlegan/recipes.py","particlegan/ka2.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/policy.py","https://github.com/255BITS/ParticleGAN/blob/928b485ffbe6e17d79b41d307ae8b6275489b37a/particlegan/ka2.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $n$ counts applied penalty calls, $W\\in\\{0,1\\}$ releases or restores the anchor, and $\\alpha\\in[0,1]$ is the moment-surprise tracking state. $\\delta$ is critic EMA decay and $\\theta$ the live critic parameters. Moment surprise compares critic gradient RMS with completed Adam second-moment RMS. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"The critic anchor starts at the first blended call. Its EMA decay adapts between $0.9$ and $1$ using moment surprise; sustained released/high-surprise calls can reseed it. This differs from K3P's fixed $0.999$ critic EMA. Generator/prior averaging remains a separate configured $0.995$ state; ordinary selected gates score live weights.","critic_penalty":"$\\lambda=1$ and $\\kappa=1$. The early $A$ and late $B_{\\mathrm{cap}}$ terms use the same RMS/L2 units as K3P. KA2 applies $\\lambda A/2$ for the first $799$ penalty calls, then $\\frac{\\lambda}{2}[\\frac12 A+\\frac12(B_{\\mathrm{cap}}+WwP_{\\mathrm{anchor}})]$. This handover remains active at constant LR. Recent/baseline surprise releases $W$ above $3$ and restores it below $1.75$.","damping_and_guards":"A2 is sparse latent-row damping, with $\\rho_i$ in $[0.5,1]$ and $\\texttt{max\\_rate}=0.5$. It changes the row's Adam response while preserving the raw second-moment update. Nonstandardized row-local priors can expose this hook; standardized or unsupported hosts cannot. Direct sample-particle gain is a separate host-bound rule, up to $2$ times LR when centered gradients agree.","gradient_clipping":"The spike guard is adaptive per-tensor clipping: after $200$ prior Adam steps, scale a critic tensor's gradient down when its RMS exceeds $5$ times the RMS predicted by Adam's bias-corrected second moment. It is separate from the input-gradient loss. 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pseudocode describes the family mechanism; the selected configuration and each task determine architectures, initialization, prior, sampling, update count and task-owned auxiliary losses.","The cap is a soft penalty on gradients with respect to critic inputs, not a hard bound on model-parameter gradients. Its L2 norm is not divided by input dimension.","Configuration alternatives are complete recipes; passing cells from different recipes or sources are not combined.","BCAP with K3P combines the fixed cap penalty with the additional K3P training mechanisms. It is a separate formulation from BCAP; optimizer and hyperparameter choices within BCAP remain configurations.","Canonical values describe the reusable baseline. Selected historical configurations can change penalty coefficient and role rates; source-bound measurement receipts remain authoritative.","The declared A2 capability may be blocked on an incompatible host; do not infer that damping ran merely from the family name."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The cap is a soft loss penalty on real and fake critic input-gradient norms, without division by input dimension. It does not directly clip critic parameter gradients or weights. The canonical BCAP cards use $\\lambda=1$ and $\\kappa=1$; source-bound selected recipes may differ.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"},{"explanation":"This clipping rule applies per critic tensor only after its Adam history reaches the declared warmup (baseline $\\tau_{\\min}=200$ steps). $g_p$ is its parameter gradient, $v_p$ the stored second moment, $\\tau_p$ its Adam step count and $c_{\\mathrm{guard}}=5$ the baseline threshold. With AMSGrad use its stored running maximum. Before warmup the guard leaves gradients unchanged.","label":"Adam-state critic spike guard","latex":"\\begin{aligned}v_p^{\\mathrm{RMS}}&=\\frac{\\operatorname{mean}(v_p)}{1-\\beta_2^{\\tau_p}},\\\\u_p&=\\frac{\\operatorname{RMS}(g_p)}{\\sqrt{\\max(v_p^{\\mathrm{RMS}},10^{-30})}},\\\\g_p^{\\mathrm{guarded}}&=\\begin{cases}\\dfrac{c_{\\mathrm{guard}}}{u_p}g_p,&\\tau_p\\ge\\tau_{\\min}\\text{ and }u_p>c_{\\mathrm{guard}},\\\\g_p,&\\text{otherwise}.\\end{cases}\\end{aligned}"}],"illustration":{"alt":"Real and generated samples share a critic; a soft penalty discourages excessive input-gradient slopes and adds to the critic loss.","caption":"Conceptual illustration of the BCAP critic-loss mechanism, not measured training results. Generator/prior updates and K3P optimizer controls are described below.","path":"reports/forge/families/assets/bcap-explainer.png"},"overview":"BCAP with K3P replaces the K3P critic penalty with the fixed BCAP real/fake gradient cap, while retaining the K3P training machinery. It therefore combines a simple cap loss with scheduled learning rates, a critic gradient-spike guard, sparse latent-row damping and the declared training noise.","pseudocode":["For each training update:"," Apply the declared split cosine learning-rate schedules to network and prior parameter groups."," Wrap D so each forward adds fresh scheduled critic-input noise."," Sample real x and latent z; form fake y=G(z) with declared generated-output training noise."," Critic objective = mean softplus(D(stop_gradient(y))-D(x)) + BCAP."," Compute BCAP from the real and fake input-gradient norms using the coefficient and cap shown above."," For penalty derivatives, detach samples from G and treat them as differentiable critic inputs; the penalty updates D only."," Backpropagate; after the guard warmup, shrink each critic tensor\u2019s gradient if its RMS exceeds the configured multiple of Adam\u2019s historical RMS."," Take the K3P critic Adam step. The BCAP penalty does not use K3P\u2019s early/late penalty blend or EMA anchor."," With D fixed, resample latent z and recompute differentiable fake y and both critic scores."," Generator objective = mean softplus(D(x)-D(y)) + task-owned auxiliary losses; backpropagate."," A2 is active only for an eligible latent table when some rows have zero gradient and the cumulative observed-row fraction is below its configured threshold."," With Adam history, scale each active row response using A2 gradient agreement; rows without history stay unchanged."," Take the K3P generator/prior Adam step; direct sample-particle hosts may use their declared coherent-gradient response gain."],"references":[{"component":"Base optimizer. Repository-specific guards and damping are separate mechanisms.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic logistic objective; this implementation pairs scores, rather than subtracting batch-average scores.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on one-sided gradient penalties. The repository BCAP kernel uses real/fake inputs directly and is not a reproduction of this paper or its sampling scheme.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/k3p-bcap-matched-v1.json","configs/forge/searches/bcap-tier1-refresh-v1.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history. For the separate spike guard, $g_p$ is a critic parameter gradient, $v_p$ its Adam second moment, $\\tau_p$ its stored step count and $c_{\\mathrm{guard}}$ its threshold.","training_details":{"averaging":"Canonical generator EMA decay=$0.995$ may be maintained by the host, but the card declares live-weight scoring. Fixed BCAP bypasses critic-anchor evaluation, even if an EMA critic copy exists in optimizer state.","critic_penalty":"Fixed BCAP real/fake squared one-sided L2 cap; canonical $\\lambda=1$ and $\\kappa=1$, every update. The historical search includes $\\lambda=0.5$ alternatives. K3P\u2019s LR-dependent penalty handover and EMA-anchor penalty are bypassed by reg_arm=b_cap.","damping_and_guards":"A2 requires an eligible sparse learnable latent table, some zero-gradient rows on the current update, and cumulative observed-row fraction below latent_damping_max_rate (canonical $0.5$). When Adam state and row history exist, it scales the row response by $0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}})$, within $[0.5,1]$; rows without history use $1$. Adam\u2019s second moment still tracks the raw gradient. 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Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"Only A2 latent-row damping is disabled. Critic guarding, the gradient anchor and any separately eligible direct-particle gain remain. This identity describes the A2 hook, not a removal of all optimizer interventions.","label":"A2 damping removed","latex":"\\rho_i=1,\\qquad \\Delta z_i=\\Delta z_i^{\\mathrm{Adam}}."}],"overview":"K3P without A2 disables the extra damping of sparsely visited learned latent rows. Normally A2 reduces a row's Adam response when its current gradient disagrees with its previous observed gradient. With A2 disabled, the latent rows use the ordinary inherited Adam response. The critic penalty, spike guard, schedules and training noise remain.","pseudocode":["Start from the K3P recipe and apply: latent_row_damping = disabled","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); add generated-output training noise to fake."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1 first occurs, copy D into D_bar and set proximal_term = 0; subsequently use"," Measure dimension-normalized real-gradient proximity and multiply by the configured anchor weight."," Combine the late real/fake cap term with the active proximal term."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Once the anchor has started, update its declared critic parameter EMA after each critic step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," Update learned latent rows without A2 damping."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p-a2-off-native-diagnostic.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $\\rho_i$ is the A2 row-response multiplier and $\\Delta z_i$ the corresponding latent update.","training_details":{"averaging":"The critic anchor and optional generator/prior moving averages remain. Gates use their recorded serving law, generally live weights rather than generator EMA.","critic_penalty":"Enabled: learning-rate-dependent K3P blend of early real-gradient regularization/fake caps and late real/fake caps plus a critic-gradient anchor. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 is disabled by $\\texttt{latent\\_damping\\_max\\_rate}=0$. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior.","gradient_clipping":"Adaptive per-tensor critic gradient scaling remains via the spike guard; it is clipping-like and uses Adam second-moment history rather than a fixed global norm threshold. No generic global gradient-norm clipping is added by this candidate. 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Setting $w=0$ removes critic-gradient proximity and bypasses anchor evaluation; the separate generator/prior averages can remain.","label":"Early and capped terms; anchor removed","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\w&=0,\\qquad P_{\\mathrm{anchor}}=0.\\end{aligned}"},{"explanation":"The learning-rate handover remains, but has no anchor term. Before the first critic step, $s=1$. Lazy cadence $k$ applies $kR$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R&=\\frac{\\lambda}{2}\\left[sA+(1-s)B_{\\mathrm{cap}}\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"K3P without critic anchor removes the penalty that pulls the live critic's input gradients toward a moving average of the critic. Its early real-gradient penalty and fake-gradient cap remain; the later real/fake caps also remain. It tests the anchor itself, while keeping the inherited optimizer controls and training noise.","pseudocode":["Start from the K3P recipe and apply: anchor_weight = 0; proximal_term = 0","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); add generated-output training noise to fake."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," proximal_term = 0."," Combine the late real/fake cap term with the active proximal term."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," If some latent rows have zero gradient, the cumulative observed-row fraction is below max_rate, and Adam history exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Otherwise leave the latent-row Adam response unchanged."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/forge-onboarding-anchor-ablation.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history.","training_details":{"averaging":"No critic-anchor contribution. The ordinary generator/prior exponential moving averages can still be maintained; recorded gates use the declared live weights.","critic_penalty":"Enabled K3P real/fake gradient regularization, with the anchor contribution set to zero. The early RMS-scaled and late L2-scaled phases still follow the critic learning-rate ratio. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 acts only on eligible sparse latent rows: responses are scaled within $[0.5,1]$ according to consecutive gradient agreement, while Adam's second moment still tracks the raw gradient. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior. A2 activates only when some rows have zero gradient, the cumulative observed-row fraction is below the configured max_rate (baseline $0.5$), and Adam state exists; missing row history gives scale $1$.","gradient_clipping":"Adaptive per-tensor critic gradient scaling remains via the spike guard; it is clipping-like and uses Adam second-moment history rather than a fixed global norm threshold. No generic global gradient-norm clipping is added by this candidate. Input-gradient penalties regularize the objective separately.","learning_rates":"Inherited scheduled training. $G$ and $D$ use the network cosine schedule, capped at a configured horizon; the learned prior uses its full-budget cosine schedule. In the public baseline, rates hold through $60\\%$ of their horizon before decaying to their floors. Resolved recorded configurations own exact rates and horizons.","loss":"Paired relativistic logistic by default: critic $\\mathbb E[\\operatorname{softplus}(C(y)-C(x))]$; generator reverses that score difference. Task-owned joint or reconstruction terms remain separate.","noise":"Inherited scheduled critic-input noise and generated-output training noise. Prior sampling noise belongs to the task. Public clean sampling does not automatically include the generated-output training noise. Critic-input noise is independently drawn on each forward of the wrapped critic, including gradient-penalty evaluation.","optimizer":"Inherited K3P Adam wrappers for critic and generator/prior, with recipe-specific moments and per-role rates. 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Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"This ablation removes all input-gradient and anchor loss contributions. The inherited K3P Adam wrappers, spike guard, eligible A2 and host-bound direct-particle controls remain; this is not a switch to native Adam.","label":"Removed critic penalty","latex":"\\lambda=0,\\qquad R=0,\\qquad L_D=\\ell_D."},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"},{"explanation":"This clipping rule applies per critic tensor only after its Adam history reaches the declared warmup (baseline $\\tau_{\\min}=200$ steps). $g_p$ is its parameter gradient, $v_p$ the stored second moment, $\\tau_p$ its Adam step count and $c_{\\mathrm{guard}}=5$ the baseline threshold. With AMSGrad use its stored running maximum. 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candidate makes one named mechanism removal; it does not replace task priors, initialization, training budgets, or numerical criteria.","Settings above describe the declared ablation and public K3P baseline. Each recorded result retains its executed recipe/source; current implementation descriptions do not requalify historical measurements.","Penalty laziness, exact noise magnitudes, role-specific rates, moment settings, and host-eligible controls must be read from the selected configuration bindings rather than assumed to be identical across tasks."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"$A$ uses RMS input-gradient units; $B_{\\mathrm{cap}}$ uses unnormalized L2 caps. When the anchor first starts, copy the live critic and set $P_{\\mathrm{anchor}}=0$ for that call. Subsequent calls evaluate its EMA; its fresh input-noise draws follow the same law as the live critic.","label":"Early, capped and anchor terms","latex":"\\begin{aligned} A&=\\mathbb E\\!\\left[\\frac{\\lVert g_r\\rVert_2^2}{d}\\right]+\\mathbb E\\!\\left[\\left(\\frac{\\lVert g_f\\rVert_2}{\\sqrt d}-\\kappa\\right)_+^2\\right],\\\\ B_{\\mathrm{cap}}&=\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right],\\\\ P_{\\mathrm{anchor}}&=\\mathbb E\\!\\left[\\frac{\\lVert g_r-\\nabla_x\\bar C(x)\\rVert_2^2}{d}\\right].\\end{aligned}"},{"explanation":"Before the first critic step, $s=1$. At $s=1$ evaluate $A$ alone; start the anchor only when $s<1$. Constant critic LR keeps the early term active. Lazy cadence $k$ applies $kR_{\\mathrm{K3P}}$ every $k$th scheduled call and zero otherwise.","label":"K3P learning-rate handover","latex":"\\begin{aligned}s&=\\frac{\\max\\!\\left(0,\\min(1,2r)-2f\\right)}{1-2f},\\\\R_{\\mathrm{K3P}}&=\\frac{\\lambda}{2}\\left[sA+(1-s)\\left(B_{\\mathrm{cap}}+wP_{\\mathrm{anchor}}\\right)\\right].\\end{aligned}"},{"explanation":"A2 acts only on an eligible row-local table with existing Adam state, some zero-gradient rows, and cumulative observed-row fraction below the configured cutoff (baseline $0.5$). Then $\\rho_i\\in[0.5,1]$. Adam still accumulates the raw gradient second moment; unsupported or ineligible hosts keep their ordinary response.","label":"A2 sparse-row response","latex":"\\begin{aligned}\\rho_i&=\\begin{cases}0.75+0.25\\operatorname{cos}(h_i,h_i^{\\mathrm{prev}}),&\\text{with row history},\\\\1,&\\text{without row history},\\end{cases}\\\\\\Delta z_i^{\\mathrm{A2}}&=\\rho_i\\Delta z_i^{\\mathrm{Adam}}.\\end{aligned}"}],"overview":"Despite its broad historical family label, this variant removes only additive noise on generated outputs in the discriminator and generator training objectives. It retains critic-input noise and any noise intrinsic to the task's prior. The critic penalty, optimizer controls and learning-rate schedules remain. Clean public sampling was already separate from noisy training.","pseudocode":["Start from the K3P recipe and apply: generated_output_noise_std = 0","For each training iteration:"," Set G/D learning rates from their network schedule; set prior rate from its full-budget schedule."," Draw real x and latent z from the task; fake = stop_gradient(G(z)) for the critic update."," Evaluate D through the scheduled input-noise wrapper (fresh noise per forward); do not add generated-output noise."," Compute the paired critic adversarial loss shown above."," g_r = gradient of D(x) with respect to x; g_f = gradient of D(fake) with respect to fake."," Compute the early RMS-scaled real-gradient/fake-cap term A shown above."," r = last applied critic LR / largest applied critic LR; f = network LR floor."," Compute the early-penalty blend weight from the applied critic LR ratio and network floor; use s=1 before the first critic step."," If s < 1 first occurs, copy D into D_bar and set proximal_term = 0; subsequently use"," Measure dimension-normalized real-gradient proximity and multiply by the configured anchor weight."," Combine the late real/fake cap term with the active proximal term."," Every k-th scheduled penalty call, add k times the blended penalty; add zero on other calls (default k=1)."," Backpropagate L_D; after warmup, scale each critic gradient tensor down if its RMS exceeds"," guard_ratio * RMS expected from Adam's bias-corrected second moment; take the critic Adam step."," Once the anchor has started, update its declared critic parameter EMA after each critic step."," Resample latent input and recompute differentiable fake and critic scores using the updated D; retain declared training noise."," Compute the paired generator adversarial loss from the updated critic; backpropagate through G and learned prior with D fixed."," If some latent rows have zero gradient, the cumulative observed-row fraction is below max_rate, and Adam history exists:"," Scale observed-row Adam responses using the A2 cosine-agreement rule; leave rows without history unchanged."," Otherwise leave the latent-row Adam response unchanged."," Retain any host-eligible direct-particle response gain; update G and prior."," Maintain any configured moving averages; score with the task's declared weights and sampling law."],"references":[{"component":"Base optimizer; the spike guard, A2 rule and K3P handover are repository-specific additions.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Paired relativistic adversarial loss.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Related work on zero-centered input-gradient regularization; it is not a paper specifying the full K3P mechanism or this ablation.","title":"Which Training Methods for GANs do actually Converge?","url":"https://arxiv.org/abs/1801.04406"}],"sources":["configs/forge/ideas/k3p-no-output-noise-diagnostic.json","particlegan/recipes.py","particlegan/k3p.py","particlegan/grad_regularizers.py","particlegan/gan_loss.py","particlegan/training.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $\\bar C$ evaluates the critic parameter EMA with the same fresh-input-noise law as $C$. $A$ is the early RMS-scaled penalty, $B_{\\mathrm{cap}}$ the late L2 cap term and $P_{\\mathrm{anchor}}$ the dimension-normalized gradient proximity. $w$ is the configured anchor weight. $r$ is last applied critic LR divided by its largest recorded LR; $f$ is the resolved network LR floor fraction; $s$ is the early-penalty weight. $h_i$ is latent row $i$'s current gradient, $h_i^{\\mathrm{prev}}$ its last observed gradient, $\\rho_i$ the A2 response multiplier and $\\Delta z_i$ the corresponding row update. $\\operatorname{cos}$ denotes the implementation's bounded cosine similarity, including its handling of zero-length history. Generated-output training noise is zero in this ablation; scheduled critic-input noise and task-prior sampling noise remain.","training_details":{"averaging":"The critic anchor and optional generator/prior moving averages remain. Live clean scoring stays separate from averaging and from any separately declared noisy evaluation.","critic_penalty":"Enabled: learning-rate-dependent K3P blend of early real-gradient regularization/fake caps and late real/fake caps plus a critic-gradient anchor. With lazy cadence k, apply k times this penalty every k-th call and zero otherwise; default k=$1$.","damping_and_guards":"A2 acts only on eligible sparse latent rows: responses are scaled within $[0.5,1]$ according to consecutive gradient agreement, while Adam's second moment still tracks the raw gradient. The critic spike guard remains. Direct sample-particle gain is a separate inherited, host-dependent mechanism; it does not automatically apply to every learned prior. 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Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification; residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"The conditional residual objective directly enumerates prior.z; stochastic latent sampling needs a separately calibrated task.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"public_recipe_schedule","sampling_contract_version":1,"sampling_law":"conditional_prior_centers_with_scheduled_output_noise","scoring_weights":"live"}},"recorded_contract":"a5e950ae96f137f52d5226d3d7083d02f2e27f3df692f99191a83c8e0272aa14","status":"BLOCKED","task_id":"residual_student"},"ring16_acquisition":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"74a870f9e1a1c030d8e564ba5359bf510701fddbfb8349c5cedacf430adbd8d8","status":"BLOCKED","task_id":"ring16_acquisition"},"ring16_acquisition_tier1_policy_selected_cloud_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":{"evaluation_fingerprint":"b361c512f05ebb898fcf5ab3386ad47cfa87f8fc6c56a3f14b90bc979083d433","execution_fingerprint":"91325802a2cd0d09a3066e24a716f01d8d851802c23bb73784aec8994eadf996","id":"ring16_acquisition","task_sha256":"e6b53ba29fbe9ead47e842cfa01e40ba57821bd1b4e6aa5b297631fa0f6525c1"},"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"ring16_acquisition_tier1_policy_selected_cloud_v1"},"ring16_bigan_continuous":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"ring16_bigan_continuous"},"ring_extension":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"8c9aed1790a62f1c56f82b437af931eb36429cb4c65d221ddf99f3288abf2a9d","status":"BLOCKED","task_id":"ring_extension"},"ring_hold":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"2927fdc4673adae94155972b3dbea0347e0ae2853337491d17407db2d5bac77a","status":"BLOCKED","task_id":"ring_hold"},"rotated100":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"d19eed7779a32b4cc43ba268ccd3a7b97e9653cfa00f29e547f221f9801aa1d4","status":"BLOCKED","task_id":"rotated100"},"rotated100_14k":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"rotated100_14k"},"rotated100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"rotated100_affine_square_named_v1"},"staggered100":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task; candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task","receipt":null,"recorded_conditions":{"prior":{"kind":"mog","learnable":true,"sigma":0.025,"standardize":false},"sampling":{"eval_output_noise":"clean","sampling_contract_version":1,"sampling_law":"public_prior_without_output_noise","scoring_weights":"live"}},"recorded_contract":"ae16607a46bd3da9bb27236cbb355ad71fb270f6a5844b6ecdcf8e8e869e655e","status":"BLOCKED","task_id":"staggered100"},"staggered100_14k":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_14k"},"staggered100_affine_square_named_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"staggered100_affine_square_named_v1"},"target_shift_recovery":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"target_shift_recovery"},"trajectory":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification; trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"The conditional host enumerates prior.z in its identity objective; a stochastic latent read changes the frozen host law.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"public_recipe_schedule","sampling_contract_version":1,"sampling_law":"conditional_prior_centers_with_scheduled_output_noise","scoring_weights":"live"}},"recorded_contract":"622267e7c915be6125ba22c71838b45e8bf320854673a104d2d3eca27f236678","status":"BLOCKED","task_id":"trajectory"},"two_pole":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification; two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"This host optimizes explicit sample-particle coordinates directly, without a separate generator or latent sampling kernel.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"not_applied_to_measurement","sampling_contract_version":1,"sampling_law":"learned_particles_and_critic_gradient","scoring_weights":"live"}},"recorded_contract":"9fd20b26b1cc4a3d3e21e4295b606b4ccfc118325f54a0bc8897a5af71a9445d","status":"BLOCKED","task_id":"two_pole"},"two_pole_800_schedule800_diagnostic_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_800_schedule800_diagnostic_v1"},"two_pole_800_schedule80_diagnostic_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_800_schedule80_diagnostic_v1"},"two_pole_tier1_policy_selected_cloud_v1":{"attempt_id":null,"changed_contract_fields":[],"coverage_reason":"Recorded test definition unavailable; compatibility with today's declaration cannot be checked.","current_contract":"unbound","device":null,"execution_recorded":false,"metrics":{},"policy_parent":{"evaluation_fingerprint":"cffa9a9722e4ca72028aa9b4cb8ae0dc119746f08581f2e6d8eae65690c562c1","execution_fingerprint":"3d15ff9d4ae9428d07dbf539db15e5783f55ef08b9ec9a90db678b91ea701f83","id":"two_pole","task_sha256":"55ac2d3883ba6c173da304fa7f10648a0b559c202fc35b451b1d0c8870f61cf5"},"reason":"No recorded result for this selected configuration and source.","receipt":null,"recorded_conditions":{"prior":{},"sampling":{}},"recorded_contract":null,"status":"UNKNOWN","task_id":"two_pole_tier1_policy_selected_cloud_v1"},"unipolar":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). Earlier verdict preserved.","current_contract":"CHANGED","device":null,"execution_recorded":false,"metrics":{},"policy_parent":null,"reason":"unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification","receipt":null,"recorded_conditions":{"prior":{"exception_reason":"Deterministic student residual controls are parameter clouds, not draws from a sampled latent prior.","kind":"particle_cloud","learnable":true,"sigma":0.0,"standardize":false},"sampling":{"eval_output_noise":"not_applied_to_measurement","sampling_contract_version":1,"sampling_law":"learned_parameter_measurement","scoring_weights":"live"}},"recorded_contract":"f979816d53fbdd238c921ce69d4e157505ef4889edd1cc9f639b9a4be6ecc98b","status":"BLOCKED","task_id":"unipolar"},"unused_token_hold":{"attempt_id":null,"changed_contract_fields":["execution (host, recipe binding, prior, initialization or budget)","evaluation (gates or sampling law)"],"coverage_reason":"Test definition changed since this run: execution (host, recipe binding, prior, initialization or budget); evaluation (gates or sampling law). 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These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","Historical candidate release07-gan-v3-cloud-v1 is retained at source 2899099048c0a9987eb8720214abfce56d86d92a. Its card fixes z_dim=4, batch_size=256, 20000 rows and a 7000-step reference horizon.","grid100_release07_cloud_named_v1 explicitly binds a particle cloud and a named z4 MLP host with Xavier-uniform/zero-bias network initialization. This is separate from the generic ordinary-view MoG bindings appearing in historical inventory projections.","The native cloud diagnostic retains its own clean/live sampling, full update budget and numerical gates. Its failure or any separate historical served/noisy success transfers no learned-MoG or current-family credit."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The full release recipe fixes $\\lambda=6$ and $\\kappa=1.25$, applied every critic update. This is the same soft L2 cap mechanism with stronger and wider settings; K3P handover, critic proximity and optimizer interventions are disabled.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"For scalar hosts that expose this auxiliary, use the unbiased sample covariance of the supplied latent batch. It discourages standard deviations below $1$ and off-diagonal covariance, without requiring a Gaussian topology. Batches with fewer than two rows return zero. Behavioral hosts retain their explicitly bound auxiliary objectives.","label":"Latent spread auxiliary objective","latex":"\\begin{aligned}R_{\\mathrm{prior}}&=\\frac{1}{d_z}\\sum_{a=1}^{d_z}\\left(1-\\sqrt{(\\Sigma_z)_{aa}+10^{-4}}\\right)_+\\\\&\\quad+\\frac{1}{d_z}\\sum_{a\\ne b}(\\Sigma_z)_{ab}^2,\\\\L_G&=\\ell_G+0.05R_{\\mathrm{prior}}.\\end{aligned}"},{"explanation":"Hold each role at its base rate for $60\\%$ of the declared recipe horizon, then decay to a $5\\%$ floor and hold. The reusable task-adapted card resolves $T$ explicitly; the historical native MoG/cloud cards retain $T=7000$. An external execution cap does not redefine the schedule.","label":"Full-horizon learning-rate cosine","latex":"a(q)=\\begin{cases}1,&q\\le0.6,\\\\0.05+\\dfrac{0.95}{2}\\left[1+\\cos\\!\\left(\\pi\\min\\!\\left(1,\\dfrac{q-0.6}{0.4}\\right)\\right)\\right],&q>0.6,\\end{cases}\\qquad \\eta(t)=\\eta^{(0)}a(t/T)."}],"overview":"This historical entry retains the full v0.7 GAN v3 recipe on its explicit native particle-cloud diagnostic: latent dimension 4, batch 256 and an unstandardized learned ParticlePrior. Fixed real/fake input-gradient caps and latent spread regularization remain. The cloud sampling and named MLP initialization are experiment-owned and cannot be treated as the learned-MoG cohort.","pseudocode":["For each training iteration:"," Use the historical 7000-step recipe horizon: hold LR through 60%, then cosine-decay toward 5% of its base value."," Draw real x and task-prior z; fake = detach(G(z))."," Compute the paired critic adversarial loss shown above."," g_r = gradient(D(x),x); g_f = gradient(D(fake),fake), using detached input copies."," Add the fixed real/fake input-gradient penalty shown above."," Backpropagate; take the critic Adam step with guard and gradient anchor disabled."," Freeze D parameters; draw fresh z, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic."," On scalar latent-table hosts, add .05 * R_prior to L_G; behavioral hosts retain their original objectives."," Backpropagate; update G/prior with A2 and direct response gain disabled."," Maintain the configured .995 generator/prior EMA where the host implements it."," Score with the frozen task's declared weights, prior and noise law; ordinary gates use clean live outputs."],"references":[{"component":"Base Adam optimizer.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Inspiration for latent variance/covariance regularization; no full VICReg objective is claimed.","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","url":"https://arxiv.org/abs/2105.04906"},{"component":"Related work on one-sided input-gradient penalties. The repository evaluates caps directly on real/fake inputs; it does not reproduce the paper's full training or sampling algorithm.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/release07-gan-v3-cloud-v1.json","configs/forge/tasks/grid100_release07_cloud_named_v1.json","configs/toy100/release07_public_default_host.json","reports/forge/studies/FORMULATION_COMPARISON_CONTINUATION.md","particlegan/grad_regularizers.py","particlegan/vicreg_loss.py","https://github.com/255BITS/ParticleGAN/blob/2899099048c0a9987eb8720214abfce56d86d92a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $R_{\\mathrm{prior}}$ is the VICReg-inspired latent spread term, $d_z$ the latent dimension, $\\Sigma_z$ the unbiased sample covariance and $\\epsilon=10^{-4}$ the variance stabilizer. $t$ counts completed updates, $T$ is the declared recipe horizon, $q=t/T$, $\\eta^{(0)}$ a base LR and $a(q)$ its multiplier. EMA denotes a parameter exponential moving average.","training_details":{"averaging":"Generator/prior EMA decay $0.995$ is configured where the host implements it; selected ordinary gates use live weights. Behavioral hosts may own no scored EMA or latent table. 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result retains its executed source, recipe, task prior, initialization, budget and sampling law. These descriptions do not change or requalify recorded measurements.","Task-owned objectives and active components matter: direct sample particles, learned latent rows and a generator network are different parameter roles. A declared recipe switch does not imply that every host can apply it.","The retained selected variant is release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c at historical source 2899099048c0a9987eb8720214abfce56d86d92a. It uses LR .006375 and prior multiplier 1; the original native card used .00425 and multiplier 2.","The historical reference fixes z_dim=2, batch_size=2048 and 7000-step recipe horizon. Its learned-MoG binding records sigma .025 and standardize=false; task initialization and affine native host remain part of the experiment.","The original native card's fixed resource fields were incompatible with behavioral toy hosts. A later explicit task-adapted successor delegates those fields; that successor does not rewrite this historical evidence."],"equations":[{"explanation":"These scalar losses are minimized. The critic objective is $\\ell_D+R$; the generator adds only its declared auxiliary objectives. Critic fakes are detached, and generator fakes and both scores are recomputed after the critic step. $C$ includes any declared fresh input noise.","label":"Default paired adversarial loss","latex":"\\begin{aligned}\\ell_D&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(y)-C(x))\\right],\\\\\\ell_G&=\\mathbb E\\!\\left[\\operatorname{softplus}(C(x)-C(y))\\right].\\end{aligned}"},{"explanation":"The full release recipe fixes $\\lambda=6$ and $\\kappa=1.25$, applied every critic update. This is the same soft L2 cap mechanism with stronger and wider settings; K3P handover, critic proximity and optimizer interventions are disabled.","label":"Fixed capped input-gradient penalty","latex":"R_{\\mathrm{BCAP}}=\\frac{\\lambda}{2}\\left\\{\\mathbb E\\!\\left[(\\lVert g_r\\rVert_2-\\kappa)_+^2\\right]+\\mathbb E\\!\\left[(\\lVert g_f\\rVert_2-\\kappa)_+^2\\right]\\right\\}."},{"explanation":"For scalar hosts that expose this auxiliary, use the unbiased sample covariance of the supplied latent batch. It discourages standard deviations below $1$ and off-diagonal covariance, without requiring a Gaussian topology. Batches with fewer than two rows return zero. Behavioral hosts retain their explicitly bound auxiliary objectives.","label":"Latent spread auxiliary objective","latex":"\\begin{aligned}R_{\\mathrm{prior}}&=\\frac{1}{d_z}\\sum_{a=1}^{d_z}\\left(1-\\sqrt{(\\Sigma_z)_{aa}+10^{-4}}\\right)_+\\\\&\\quad+\\frac{1}{d_z}\\sum_{a\\ne b}(\\Sigma_z)_{ab}^2,\\\\L_G&=\\ell_G+0.05R_{\\mathrm{prior}}.\\end{aligned}"},{"explanation":"Hold each role at its base rate for $60\\%$ of the declared recipe horizon, then decay to a $5\\%$ floor and hold. The reusable task-adapted card resolves $T$ explicitly; the historical native MoG/cloud cards retain $T=7000$. An external execution cap does not redefine the schedule.","label":"Full-horizon learning-rate cosine","latex":"a(q)=\\begin{cases}1,&q\\le0.6,\\\\0.05+\\dfrac{0.95}{2}\\left[1+\\cos\\!\\left(\\pi\\min\\!\\left(1,\\dfrac{q-0.6}{0.4}\\right)\\right)\\right],&q>0.6,\\end{cases}\\qquad \\eta(t)=\\eta^{(0)}a(t/T)."}],"overview":"This historical entry retains the released v0.7 GAN v3 recipe adapted to the matched learned-MoG native host: latent dimension 2, batch 2048 and task-bound MoG sampling. It uses the same fixed critic-gradient cap, latent spread objective and full-horizon cosine as the release family. Its exact source/host results remain historical; the reusable task-adapted card is the current family declaration.","pseudocode":["For each training iteration:"," Use the historical 7000-step recipe horizon: hold LR through 60%, then cosine-decay toward 5% of its base value."," Draw real x and task-prior z; fake = detach(G(z))."," Compute the paired critic adversarial loss shown above."," g_r = gradient(D(x),x); g_f = gradient(D(fake),fake), using detached input copies."," Add the fixed real/fake input-gradient penalty shown above."," Backpropagate; take the critic Adam step with guard and gradient anchor disabled."," Freeze D parameters; draw fresh z, regenerate fake and recompute both scores."," Compute the paired generator adversarial loss from the updated critic."," On scalar latent-table hosts, add .05 * R_prior to L_G; behavioral hosts retain their original objectives."," Backpropagate; update G/prior with A2 and direct response gain disabled."," Maintain the configured .995 generator/prior EMA where the host implements it."," Score with the frozen task's declared weights, prior and noise law; ordinary gates use clean live outputs."],"references":[{"component":"Base Adam optimizer.","title":"Adam: A Method for Stochastic Optimization","url":"https://arxiv.org/abs/1412.6980"},{"component":"Related paired relativistic adversarial objective.","title":"The relativistic discriminator: a key element missing from standard GAN","url":"https://arxiv.org/abs/1807.00734"},{"component":"Inspiration for latent variance/covariance regularization; no full VICReg objective is claimed.","title":"VICReg: Variance-Invariance-Covariance Regularization for Self-Supervised Learning","url":"https://arxiv.org/abs/2105.04906"},{"component":"Related work on one-sided input-gradient penalties. The repository evaluates caps directly on real/fake inputs; it does not reproduce the paper's full training or sampling algorithm.","title":"On the regularization of Wasserstein GANs","url":"https://arxiv.org/abs/1709.08894"}],"sources":["configs/forge/ideas/release07-gan-v3-mog-v1.json","configs/forge/configurations/release07-gan-v3-mog--1e266b5a2986ee4cb2f2fdc46437cc82982bf1cf02707eeba95743f4890e8a0c.json","reports/forge/studies/FORMULATION_COMPARISON_CONTINUATION.md","reports/forge/RELEASE07_TASK_ADAPTATION_READOUT.md","particlegan/grad_regularizers.py","particlegan/vicreg_loss.py","https://github.com/255BITS/ParticleGAN/blob/2899099048c0a9987eb8720214abfce56d86d92a/particlegan/recipes.py"],"symbols":"$G$ is the generator, $D$ the raw-score critic, $P$ the task prior, $x$ a real batch, $z\\sim P$ a latent batch and $y$ the generated batch, including any declared output noise. $C$ is the critic actually evaluated: $C=D$ without input noise; otherwise every forward evaluates $D(u+\\epsilon_{\\mathrm{in}})$ with a fresh draw. $\\mathbb E$ means a sample mean, $\\lVert\\cdot\\rVert_2$ is the Euclidean norm, $(a)_+=\\max(a,0)$ and $\\operatorname{softplus}(a)=\\log(1+e^a)$. The scalar sketch detaches $y$ during the critic update and resamples differentiable $y$ after that update; joint and auxiliary hosts retain task-owned objectives. $g_r=\\nabla_x C(x)$ and $g_f=\\nabla_y C(y)$ are per-sample input gradients; $d$ counts critic-input coordinates. $\\lambda$ is penalty strength and $\\kappa$ the cap threshold. $R_{\\mathrm{prior}}$ is the VICReg-inspired latent spread term, $d_z$ the latent dimension, $\\Sigma_z$ the unbiased sample covariance and $\\epsilon=10^{-4}$ the variance stabilizer. $t$ counts completed updates, $T$ is the declared recipe horizon, $q=t/T$, $\\eta^{(0)}$ a base LR and $a(q)$ its multiplier. EMA denotes a parameter exponential moving average.","training_details":{"averaging":"Generator/prior EMA decay $0.995$ is configured where the host implements it; selected ordinary gates use live weights. Behavioral hosts may own no scored EMA or latent table. No critic-gradient anchor average is active.","critic_penalty":"Fixed $\\lambda=6$ and L2 cap $\\kappa=1.25$ on both real and fake samples, applied every step. No RMS normalization, K3P handover or critic-gradient proximity term.","damping_and_guards":"A2, critic spike guard, critic anchor and direct sample-particle gain are all disabled. This distinguishes the full release recipe from a fixed BCap penalty swapped into an otherwise intact K3P recipe.","gradient_clipping":"No critic spike guard or global gradient-norm clipping. The cap penalizes excess critic input-gradient magnitude in the loss; it does not clamp critic parameter gradients or weights.","learning_rates":"Original reference base LR $0.00425$, critic multiplier $1$, latent-prior multiplier $2$. The historical selected whole variant uses $0.006375$ and prior multiplier $1$. Both retain the $7000$-step recipe horizon, a $60\\%$ hold followed by cosine decay to $5\\%$, with no separate short network horizon. This native card fixes its resource fields; the later task-adapted successor delegates them explicitly without rewriting the historical recipe.","loss":"Paired relativistic logistic, with the fixed real/fake cap regularizer below. Scalar hosts add the declared $0.05$ latent variance/covariance term; behavioral hosts keep their task-owned reconstruction, conditional or direct-particle objectives.","noise":"No additive critic-input or generated-output training noise. The task's prior still owns its latent sampling noise: learned-MoG and particle-cloud hosts remain distinct. Paired noisy/EMA diagnostics do not replace the required clean/live result.","optimizer":"K3P-derived Adam wrappers selected by the explicit fixed b_cap arm. $\\beta_1=0$, $\\beta_2=0.99$, AMSGrad off; guard, anchor, A2 and direct gain are disabled. Observer bookkeeping remains. This recipe is not selected through optimizer_family='adam', despite having its intervention switches off. 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evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"After learning a simple bell curve, keep its centre, width and distribution correct while training continues; then track a shifted target and stay there.","next_step":"Find an update rule that settles when correct but responds after a shift, then verify the same recipe on ring16 and mode hold. Existing trade-offs do not prove the problem impossible.","pass_summary":"Yes, individual research configurations; no selected recipe passes the complete test.","passers":["`kinetic-local-nsgda-cross-v1`, `kinetic-local-dualnorm-g-history-v1` and `kinetic-local-dualnorm-g-history-bank8-v-v1` pass, but fail ring16 and mode hold.","Cell-gradient-signal configurations and `cell-quota-minimum-change-forward-kl-g-v1` also pass. The latter passes mode hold too, but its later ring16 probe fails and it cannot run two-pole or word smoke.","A hand-built network can draw the target; that is a capacity witness, not a trained full-protocol PASS."],"problem":"BCAP and BISPF keep oscillating instead of settling. BISPF passes only 5 of 72 stationary checks, misses deadline re-acquisition and passes 0 of 24 shifted-hold checks. A one-time smoke pass does not establish stability.","task":"gaussian1d_stability","title":"Keep a bell curve stable, then learn a moved target"},{"evidence":[{"anchor":"vector_unequal_mass","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn several blobs with different probabilities, including a rare 2% blob, without losing its population or collapsing its shape.","next_step":"Preserve rare-cluster coverage and shape while checking unequal-width, ring16 and mode hold with one unchanged recipe.","pass_summary":"Yes, transport and cell-moment research configurations; BCAP and BISPF fail.","passers":["`kinetic_transport_local_v2` and the two kinetic g-history reference8 variants pass; they fail unequal-width and mode hold.","Round-5 direction blend plus local-v2 passes, but fails Gaussian stability and unequal-width and was not measured on most of the required suite.","Cell-moment aggregate recipes pass all four vector tests; they lose mode hold or ring16. True-target sampling passes 200/200 reference runs, which validates the gate but is not a training win."],"problem":"The rare blob receives little training signal. BISPF preserves its share but flattens its shape: minimum eigen ratio 0.004 against the required 0.15. BCAP also collapses it.","task":"vector_unequal_mass","title":"Preserve rare clusters"},{"evidence":[{"anchor":"vector_unequal_width","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Give four equally likely blobs different widths while preserving both their shapes and their equal probabilities.","next_step":"Test the balanced-assignment reference on the missing suite and solve its rare-cluster regression before claiming a global improvement.","pass_summary":"Yes, balanced assignment and cell-moment research configurations.","passers":["Round-5 balanced coordinate assignment passes with 14 terminal checks and spread error 0.286, but loses unequal-mass, Gaussian stability and native 100-blob quality; much of the required suite is untried.","Cell-moment aggregate and per-kernel recipes pass but fail other required tests. G-angle has a historical-source pass, not a current selected pass."],"problem":"BISPF gets the shares wrong (mass TV 0.25) even where shapes pass. BCAP has both share and spread errors. A few strays can dominate a narrow blob.","task":"vector_unequal_width","title":"Learn narrow and broad clusters together"},{"evidence":[{"anchor":"vector_anisotropic","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Match the populations and shapes of three equally likely blobs stretched horizontally, vertically and diagonally.","next_step":"Retain the successful mass allocation while preserving mode hold and basic acquisition.","pass_summary":"Yes: K3P, KA2, R1/R2 in separate diagnostics, plus research configurations.","passers":["K3P, KA2 and R1/R2 pass in the attempt index, separately from qualifying selected-cohort results. They fail mode hold, ring16 and the clock measurement in the recorded comparison.","Nine additional indexed research recipes and four cell-moment aggregates pass. Recorded passers with mode-hold measurements fail it."],"problem":"Both leading recipes allocate the wrong amounts to the blobs. BISPF has mass TV 0.191 against 0.15 and covariance error 2.0.","task":"vector_anisotropic","title":"Learn stretched and tilted clusters"},{"evidence":[{"anchor":"vector_overlap","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Match the observable centre, spread and distribution of two overlapping blobs; no hidden component labels are required.","next_step":"Add stability without losing multimodal acquisition or mode hold. A good endpoint alone does not meet the sustained gate.","pass_summary":"Yes: K3P in separate diagnostics and multiple research recipes.","passers":["K3P and ten other indexed configurations pass under the recorded declaration; all fail mode hold.","Four cell-moment aggregates pass; three lose mode hold and the Bures variant loses ring16."],"problem":"BCAP reaches the target temporarily and drifts away. BISPF ends with centre error 0.28, covariance error 0.53 and distribution distance 0.19; it misses the sustained ending.","task":"vector_overlap","title":"Settle on an overlapping distribution"},{"evidence":[{"anchor":"img_bars4","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate each of four simple bar pictures, rather than producing only a few convincing examples.","next_step":"Preserve all four clean bar modes while passing stripes and the acquisition tests with the same recipe.","pass_summary":"Yes: R1/R2 and GAN v3 in separate diagnostic measurements.","passers":["R1/R2 and GAN v3 pass this declaration, but fail ring16, the clock measurement and the required stripes test.","Older historical recipes pass bars and stripes together under different contracts; they cannot fill today's cells."],"problem":"BCAP and BISPF produce clean pictures but only 2 of 4 bars. Some transport recipes reach more bars but produce too many blurry pictures.","task":"img_bars4","title":"Generate all four bar images"},{"evidence":[{"anchor":"img_blobs4","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate a small bright square at each of four corners, with enough clean examples of every corner.","next_step":"Keep all four corners clean and sustained without breaking basic learning and identity preservation.","pass_summary":"Yes: R1/R2 and kinetic research configurations.","passers":["R1/R2 passes in separate diagnostic measurements with an 18-check streak, but loses ring16 and the clock measurement.","`kinetic_transport_local_v2` passes but fails two-pole and unused-token hold. Four kinetic history variants pass but are blocked on basic behavioural tests."],"problem":"BISPF reaches 3 corners and 28/32 clean pictures; the gate requires all 4 and at least 29/32. BCAP reaches 2 corners. A near miss or four passing checks is not a five-check sustained pass.","task":"img_blobs4","title":"Generate all four image corners"},{"evidence":[{"anchor":"img_intensity2","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Generate a square at either of two target brightnesses, with both levels represented and little brightness error.","next_step":"Learn accurate, balanced brightness modes while retaining the other image and acquisition passes.","pass_summary":"Yes: GAN v3, R1/R2 and kinetic transport in separate measurements.","passers":["GAN v3, R1/R2 and `kinetic_transport_local_v2` pass the recorded declaration, but fail required Tier 1 tests.","A historical wider-network pass belongs to `img_intensity2_residual16`, a different task variant."],"problem":"BISPF collapses to one brightness level. BCAP produces both but 10/32 pictures have inaccurate brightness.","task":"img_intensity2","title":"Generate both brightness levels accurately"},{"evidence":[{"anchor":"grid100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 24\u201337% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 54%, still below the gate.","task":"grid100","title":"A grid of 100 clusters"},{"evidence":[{"anchor":"rotated100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 26\u201327% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 51%, still below the gate.","task":"rotated100","title":"A rotated grid of 100 clusters"},{"evidence":[{"anchor":"staggered100","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn all 100 small blobs with correct locations, populations and widths, scoring the current model's clean outputs without adding evaluation noise.","next_step":"Improve both precise placement and within-cluster shape, then meet the sustained checks and independent holdout. Longer training alone has not solved it.","pass_summary":"No full PASS under the current clean-sampling declaration in the audited evidence.","passers":["Historical K3P and other recipes have PASS receipts under earlier contracts, including different priors, averaged weights or evaluation noise. Those are separate problems and do not beat this declaration.","True-target samplers demonstrate feasibility. Longer BISPF training improves precision initially but plateaus below the gate."],"problem":"BCAP/BISPF put only 30\u201334% of samples on target, against 97% required. Some blobs are thin or nearly empty; the best audited 7,000-update result reaches 56%, still below the gate.","task":"staggered100","title":"A staggered grid of 100 clusters"},{"evidence":[{"anchor":"grid100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"grid100_14k","title":"Keep the 100-cluster grid correct for longer"},{"evidence":[{"anchor":"rotated100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"rotated100_14k","title":"Keep the 100-cluster rotated grid correct for longer"},{"evidence":[{"anchor":"staggered100_14k","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Continue a model that passed the 7,000-update 100-cluster test to 14,000 updates without losing quality.","next_step":"First obtain a genuine passing parent under the unchanged clean-sampling task, then continue that exact checkpoint. Keep rescue experiments separate.","pass_summary":"No qualifying PASS; no passing current-declaration parent is available.","passers":["The BISPF rescue continuations from failed parents remain below the precision gate and do not establish a valid endurance pass.","The rotated rescue has an INVALID cross-device coverage audit near a scoring boundary; it is not a PASS or a scientific FAIL."],"problem":"The required passing parent checkpoint does not exist. These are blocked continuations, not completed numerical failures. Continuing failed BISPF parents diagnostically still did not pass.","task":"staggered100_14k","title":"Keep the 100-cluster staggered grid correct for longer"},{"evidence":[{"anchor":"target_shift_recovery","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Learn and hold a ring of blobs, then track a sudden sideways shift within 400 updates and stay correct; a frozen model must fail to show the change is real.","next_step":"Improve adaptation speed while keeping stationary stability. If the deadline itself is reconsidered, use an explicitly versioned task and preserve the old failure.","pass_summary":"No complete PASS under the current declaration in the audited evidence.","passers":["BISPF meets three of four parts but misses the recovery deadline.","Older PR215/PR217 recipes pass a different ring-shift question under earlier contracts, not this test."],"problem":"BISPF learns and holds the original ring, then recovers too late: it becomes steady 620 updates after the shift, missing the 400-update deadline. This is an adaptation-speed failure, not an inability to recover at all.","task":"target_shift_recovery","title":"Recover quickly after the target moves"},{"evidence":[{"label":"BISPF lead and ablation evidence","path":"reports/forge/WHAT_WORKED_REVIEW_20261015.md"}],"intent":"Keep generating every target mode during continued training, rather than losing modes after initially finding them.","next_step":"Preserve the BISPF pass on current source and combine it with repairs to Gaussian, vector and image failures.","pass_summary":"Yes: the selected BISPF recipe and some research configurations.","passers":["`bispf-v1` has a recorded PASS with a 12-check terminal streak. Its source is stale; this is not a fresh current-source qualification.","The cell-quota minimum-change recipe also passes mode hold but fails ring16. The reviewed tether-only BCAP ablation does not reproduce the BISPF win."],"problem":"BCAP falls one sustained window short in the reviewed run (3 terminal passing checks; 5 required). This single test accounts for BISPF's six-point lead when repeated across six views.","task":"mode_hold","title":"Keep every learned mode alive"},{"evidence":[{"anchor":"ring_extension","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Acquire all eight ring blobs, hold them for 1,200 consecutive checks, then survive 300 additional checks on the same uninterrupted run.","next_step":"Measure the unchanged BISPF recipe in its ordinary cohort on current source and preserve the whole acquisition/hold/extension protocol.","pass_summary":"Yes: BISPF in a saved separate-runtime diagnostic; no selected ordinary PASS.","passers":["BISPF producer `bf5d13ff` passes the full diagnostic run: 1,200/1,200 hold checks and 300/300 extension checks, with minimum quality above 0.99.","That diagnostic result is evidence the problem is solvable. It does not fill the selected cohort's unmeasured cell. `ring_hold` remains a visible phase, not a second independent test."],"problem":"BISPF lacks an ordinary qualifying run in the selected cohort. BCAP's diagnostic run loses quality during the hold phase; the extension cannot rescue a failed hold.","task":"ring_extension","title":"Keep a learned ring stable for a long run"},{"evidence":[{"anchor":"gaussian1d_stability","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/ring16_acquisition.json"}],"intent":"Learn all sixteen blobs on a ring with balanced populations and real within-blob spread, rather than sixteen collapsed points.","next_step":"Retain the passing ring baseline while repairing the held tests. Longer-budget or changed-schedule results must remain explicitly separate until adopted and measured.","pass_summary":"Yes: selected BCAP and BISPF recipes.","passers":["The selected BCAP DualNorm and `bispf-v1` records pass. Their recorded results remain bound to their original budgets and sources.","Some research recipes pass ring16 but lose mode hold; per-test winners do not establish a single winner for the entire suite."],"problem":"The selected K3P, KA2, R1/R2 and GAN v3 measurements fail this Tier 1 gate, preventing later qualification. Their results on other questions do not erase this acquisition failure.","task":"ring16_acquisition","title":"Learn sixteen distinct clusters from scratch"},{"evidence":[{"anchor":"clockfree_audit","label":"Test-by-test evidence","path":"reports/forge/test-dispositions-20261015/README.md"}],"intent":"Check that the same learning state and inputs produce the same update despite changed step labels, declared horizon, evaluation cadence or a save/restart.","next_step":"Use saved internal state rather than external labels for adaptation, or explicitly version the desired policy. Do not silently treat an annealed recipe as clock-free.","pass_summary":"Yes: selected BCAP and BISPF recipes.","passers":["BCAP and BISPF pass the Tier 1 measurement with constant-rate configurations.","`clockfree_audit` is the duplicate longer-form gate and remains visible as a diagnostic; it is excluded from the distinct full-suite total to avoid counting the same question twice."],"problem":"The recorded scheduled K3P, KA2, R1/R2 and GAN v3 recipes depend on step or horizon through annealing. Good numerical fits do not satisfy this separate invariance requirement.","task":"clockfree_audit_measurement_v1","title":"Learning must not depend on external clock labels"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-zero-tanh-rail-escape/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/zero_tanh_rail_escape.json"}],"intent":"First converge near the tanh saturation rail at (+0.90, -0.90) where tanh' is attenuated (~0.19), then escape the rail within 400 updates when the target shifts to (0.0, 0.0) at update 1,001 and stay settled there.","next_step":"Run the full Tier 3 qualified family roster (`k3p`, `ka2`, `r1r2`, `bcap-pure`, `bcap-dualnorm`, `atlas`, `e22`, `release07-gan-v3`) in ordinary cohorts and promote from held to required once a global recipe passes it together with all counted Tier 1-3 requirements.","pass_summary":"Yes in standalone public-API seed-0 execution (K3P); not yet measured across the full selected-family roster.","passers":["Standalone public-API execution of `k3p` at seed 0 passes all 5 terminal checks (`mean_abs_error = 0.00298 <= 0.005`, `rms_error = 0.00421 <= 0.01`, `p99_abs_error = 0.01416 <= 0.025`, `saturated_fraction = 0.0`).","The 3-level solvability suite (`tests/test_solvability_tanh.py`) verifies 200/200 oracle passes and a constructive network witness."],"problem":"Bounded tanh heads attenuate pre-activation gradients near +/-1. Recipes that allow large pre-activation drift during the first 1,000 updates can lock into the rail or overshoot and oscillate around zero after the shift; no ordinary selected-cohort qualification run has been recorded on this newly added Tier 3 gate yet.","task":"zero_tanh_rail_escape","title":"Escape a tanh saturation rail after the target shifts to zero"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-grid100-mlp16/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/grid100_mlp16.json"}],"intent":"Learn all 100 equal-weight Gaussian modes on `grid100` using a 16-hidden-layer 128-wide LeakyReLU(0.2) MLP generator without residual skips or normalization layers.","next_step":"Pair layer-wise gradient normalization (such as `bcap-nsgda-layer` or `bcap-dualnorm`) with balanced prior-to-generator step scaling so early updates do not collapse the 16-layer Jacobian before particles separate across the 10x10 grid.","pass_summary":"No full PASS under the current clean-sampling declaration; constructive capacity witness passes.","passers":["Constructive 16-layer capacity witness in `tests/test_solvability_deep100g.py` recovers 100/100 modes and passes all coverage and 100k accuracy bounds, proving the 16-layer architecture can represent the target.","Oracle sampler passes 200/200 draws with >= 2x noise-floor headroom."],"problem":"Increasing generator depth from 3 to 16 hidden layers contracts initial output spread by ~156x and attenuates first-layer and particle-prior gradients by ~73x at step 1. In the standalone seed-0 `k3p` run, the 16-layer generator collapses to 0/100 modes (`output_sigma = 0.029`, `mass_tv = 0.99`).","task":"grid100_mlp16","title":"Survive a 16-layer unnormalized MLP generator on the 100-cluster grid"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-grid100-res16-tanh/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/grid100_res16_tanh.json"},{"label":"Paired scaled-backbone declaration","path":"configs/forge/tasks/grid100_res16_scaled_tanh.json"}],"intent":"Recover all 100 Gaussian modes on `grid100` using a 16-layer identity-skip residual MLP generator and a bounded `S=5.25` scaled `tanh` output head without saturating the `|x| > 0.99 * 5.25` rails.","next_step":"Keep `grid100_mlp16` and `grid100_res16_tanh` as unnormalized trainer stress tests alongside the paired `grid100_res16_scaled_tanh` control, and control pre-tanh logit growth on unnormalized backbones via bounded step norms.","pass_summary":"No full PASS on the unnormalized backbone; paired `grid100_res16_scaled_tanh` task (`ScaledResidualMLPGenerator` + `TanhRailGuard`, 8/8 selected families PASS at full 7,000-step GPU budget) and constructive residual-tanh witness pass with zero saturation.","passers":["Paired `grid100_res16_scaled_tanh` (`configs/forge/tasks/grid100_res16_scaled_tanh.json`) with `ScaledResidualMLPGenerator(use_norm=True, preserve_latent_norm=True)` and `TanhRailGuard` passes all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) at full 7,000-step GPU budget (`100/100` modes, `saturated_fraction = 0.0 <= 0.001`), isolating trainer depth transport from unscaled initialization pathology.","Constructive 16-layer residual + `S=5.25` tanh witness in `tests/test_solvability_deep100g.py` passes all 100-mode coverage, 100k accuracy, and `saturated_fraction <= 0.001` bounds (`saturated_fraction = 0.0`).","Oracle sampler passes 200/200 draws."],"problem":"Identity skip connections prevent the 16-layer vanishing-gradient collapse of `grid100_mlp16`, but under unscaled critic updates (`k3p` at seed 0) 96.4% of generated samples are pushed into the `tanh` saturation rails (`saturated_fraction = 0.9639` vs. `<= 0.001` bound, `modes = 0/100`).","task":"grid100_res16_tanh","title":"Learn the 100-cluster grid with a 16-layer residual MLP and bounded tanh head"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-misgan-block-recovery/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/misgan_block_recovery.json"}],"intent":"Train a 2-pair incomplete-data MisGAN (`(G_x, D_x)` + `(G_m, D_m)` with detached mask gradient in `L_x`) observing only masked 8D data `(x * m, m)` under structured block dropout, then impute held-out rows via native Bayesian particle-posterior (`ppost`) resampling from `G_x`.","next_step":"Promote `misgan_block_recovery` and `misgan_mcar_p50_recovery` from held to required once an updated global qualification cohort is registered.","pass_summary":"Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix via GAIN-style hint conditioning on `D_x` and observed-subspace completion without temperature annealing.","passers":["All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on both `misgan_block_recovery` and `misgan_mcar_p50_recovery` with decoupled `prior_x`/`prior_m`, GAIN-style hint conditioning on `D_x` (`hint_dim=8`), static `TemperatureSigmoid(0.66)`, and observed-subspace completion.","Constructive witness and `origin/misgan-toy` detached-mask `G_x` + `ppost` achieve 100/100 modes, `hq >= 0.99`, and `acc_lo = 0.759 >= 0.70` (with 2.88x noise-floor headroom relative to the 0.777 Bayes ceiling).","Oracle `bayes_posterior` + `ppost` passes 200/200 draws in `tests/test_solvability_misgan.py`."],"problem":"When 10% of rows observe only sensor `{7}`, unanchored 8D critic updates without partial-mask hints or observed-subspace completion suffer from mode-averaging and off-plane drift (`off_plane = 3.55` vs. `<= 0.04`, `modes = 3/100`).","task":"misgan_block_recovery","title":"Recover an 8D lifted 100-mode manifold from incomplete block-masked data (MisGAN + ppost)"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-misgan-block-neural-imputer/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/misgan_block_neural_imputer.json"}],"intent":"Train a 3-pair MisGAN (`(G_x, D_x)` + `(G_m, D_m)` + `(G_i, D_i)`) and grade the neural imputer `G_i([x * m, m, z_i])` directly on the 16 held-out ambiguous single-sensor queries without `ppost` particle resampling.","next_step":"Promote `misgan_block_neural_imputer` from held to required once an updated global qualification cohort is registered.","pass_summary":"Yes: all 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass in the formulaic coverage matrix without temperature annealing.","passers":["All 8 selected families (`atlas`, `bcap-pure`, `bispf`, `e22`, `k3p`, `ka2`, `r1r2`, `release07-gan-v3`) pass all 5 sustained terminal checks on `misgan_block_neural_imputer` (`observed_max_error = 0.0`, `acc >= 0.95`, `acc_lo >= 0.65`, `missing_std_ratio` in `[0.70, 1.30]`) with decoupled `prior_x`/`prior_m`/`prior_i`, GAIN-style hint conditioning on `D_x`, and static `TemperatureSigmoid(0.66)`.","Trained PyTorch neural network witness `G_i` in `tests/test_solvability_misgan.py` passes 100% of gates, proving the neural imputer architecture has sufficient capacity.","Oracle posterior sampler passes 200/200 draws with >= 2x noise headroom."],"problem":"Standard neural imputers `G_i([x * m, m, z_i])` satisfy the observed-sensor identity (`observed_max_error = 0.0`) and global missing-coordinate spread (`missing_std_ratio = 0.803` in `[0.7, 1.3]`), but suffer from conditionalGAN `z_i` noise-channel ignore on the 10% single-sensor rows without observed-subspace coupling and `D_x` hint conditioning.","task":"misgan_block_neural_imputer","title":"Learn a multimodal neural imputer on ambiguous single-sensor block masks without ppost"},{"evidence":[{"label":"Public-API readout","path":"reports/toy_audit/api_contract/api-ring16-bigan-continuous/readout.md"},{"label":"Task declaration","path":"configs/forge/tasks/ring16_bigan_continuous.json"}],"intent":"Train a continuous 2D multimodal joint BiGAN `(G(z), E(x), D(x, z))` on the 16-Gaussian ring (`MoGParticlePrior(sigma=0.1)`), simultaneously satisfying forward 16-mode generation and paired round-trip reconstruction `x -> G(E(x))`.","next_step":"Extend kernel-augmented joint `(x, z)` curvature regularization and cycle-consistency conditioning to the remaining non-kernel trainer families so all selected families contract within-mode variance without losing 16-mode coverage.","pass_summary":"Yes: `k3p` (adopted as the default continuous BiGAN recipe) and `ka2` paired with ALICE cycle-consistency (`lambda_cycle = 2.0`) and coordinate Fourier features (`K=3`) pass all 5 sustained terminal checks.","passers":["`k3p` (default recipe on `api-ring16-bigan-continuous` and `api-alice-spiral-bigan`) and `ka2` pass all 5 sustained terminal checks (`modes = 16`, `hq >= 0.85`, `mass_tv <= 0.15`, `recon_rmse <= 0.12`, `mode_consistency >= 0.98`) in the formulaic coverage matrix.","Trained PyTorch `(G, E)` witness in `tests/test_solvability_bigan.py` passes all forward generation and round-trip reconstruction gates.","Oracle joint sampler passes 200/200 draws with >= 2x noise headroom."],"problem":"In the standalone seed-0 `bcap` public-API run without cycle-consistency or kernel-augmented critics, the joint game discovers all 16/16 modes (`modes = 16`) and achieves high round-trip mode consistency (`mode_consistency = 0.9951 >= 0.98`), but within-mode variance remains too broad (`hq = 0.238` vs. `>= 0.85`, `recon_rmse = 0.220` vs. `<= 0.12`).","task":"ring16_bigan_continuous","title":"Learn a continuous 16-mode ring joint Encoder-Generator-Critic BiGAN"},{"evidence":[{"label":"Test dispositions and policy-cloud notes","path":"reports/forge/test-dispositions-20261015/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/two_pole.json"}],"intent":"Drive a generator-free direct particle cloud from zero to two symmetric poles (`mean_abs >= 0.30`) and hold them steady with bounded critic gradient (`grad_med <= 1.0`) across the final five checks.","next_step":"Gate critic-space particle birth-death when no separate generator module is present (direct particle-transport hosts) or prevent real-anchor cloning from collapsing bipolar symmetry near zero, while preserving `atlas-particle-normal-v4`'s 24-pass full-suite gains.","pass_summary":"Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass.","passers":["Selected `recipe-prior-refactor-bcap-pure-v1`, `bispf-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the ordinary Tier 1 gate.","E22 remains blocked on direct particle-cloud host compatibility."],"problem":"In selected `atlas-particle-normal-v4` (`particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256`), direct particle coordinates without a separate generator remain pinned near the origin (`mean_abs = 0.00242` vs. `>= 0.30`, `grad_med = 0.00371`). Critic-space kNN birth-death (`birth_death_cells = 64` capped on the direct particle batch) recycles particles around the origin before symmetric pole separation develops.","task":"two_pole","title":"Separate direct sample particles across two symmetric poles"},{"evidence":[{"label":"Five-word tier split readout","path":"reports/forge/five-word-tier-split/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/five_word_joint_smoke.json"}],"intent":"Train a joint generator-encoder-prior-critic BiGAN over five five-letter words for 20,001 updates, acquiring all five clean word modes (`modes == 5`, `quality_fraction >= 0.95`, `mass_tv <= 0.10`) and exact high-confidence paired reconstructions (`reconstruction_exact == 1`, `minimum_reconstruction_token_probability >= 0.90`) at an independently confirmed scheduled state.","next_step":"Diagnose how critic-space birth-death and `sigma=0.0065` latent perturbation interact with the joint `(x, z)` BiGAN encoder-generator coupling over 20k discrete-token updates without regressing continuous multimodal coverage.","pass_summary":"Yes: selected BCAP, BISPF, K3P, KA2, R1/R2 and Release-07 GAN v3 recipes pass.","passers":["Selected `bispf-v1`, `recipe-prior-refactor-bcap-pure-v1`, `recipe-prior-refactor-k3p-v1`, `recipe-prior-refactor-ka2-v1`, `recipe-prior-refactor-r1r2-v1` and `recipe-prior-refactor-release07-gan-v3-v1` pass the Tier 1 smoke gate.","Passing `five_word_joint_smoke` certifies one confirmed acquisition state; `five_word_joint_hold` separately grades sustained post-acquisition stability."],"problem":"While selected `atlas-particle-normal-v4` passes `ae_gan_hold` and `unused_token_hold`, on the 20,001-step five-word joint BiGAN game its `particles` + `NormalNoiseManipulator(sigma=0.0065)` + `birth_death_cells=256` recipe fails to acquire discrete word modes (`modes = 0/5`, `quality_fraction = 0.0`, `reconstruction_exact = 0`, `reconstruction_nll = 22.46`).","task":"five_word_joint_smoke","title":"Acquire five discrete words and paired BiGAN reconstructions in 20,001 joint updates"},{"evidence":[{"label":"AE-GAN public-API model report","path":"reports/forge/api-model-toys/ae.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ae_gan_multimodal.json"}],"intent":"Train a public-API multimodal AE-GAN to reconstruct four equally weighted corner Gaussians (`reconstruction_mse <= 0.025`, `reconstruction_mode_agreement >= 0.98`) while independently generating all four modes with balanced masses (`mass_tv <= 0.15`) and well-conditioned within-mode covariances (`0.10 <= eigen_ratio <= 4.0`) across the final five checks.","next_step":"Reduce prior mass imbalance under joint AE-GAN encoding (for example, balancing birth-death cell quotas against encoder-posterior assignments) and record ordinary CUDA measurements for the remaining selected families.","pass_summary":"Yes in standalone bounded API research (`bispf-optimized-quintic-v1` CPU cohort); no ordinary selected CUDA PASS yet.","passers":["Standalone bounded API research (`bispf-optimized-quintic-v1` on CPU) passes all eight sustained gates (`reconstruction_mse = 0.00927`, `precision = 0.9968`, `mass_tv = 0.1177 <= 0.15`).","That CPU research cohort is separate from the ordinary CUDA selected-family rows and does not fill `bispf-v1`'s unmeasured cell."],"problem":"Selected `atlas-particle-normal-v4` satisfies seven of eight terminal bounds (`modes = 4`, `precision = 0.9980 >= 0.90`, `reconstruction_mse = 0.00438 <= 0.025`, `reconstruction_mode_agreement = 1.0`, `component_min_eigen_ratio = 0.140 >= 0.10`, `component_max_eigen_ratio = 1.169 <= 4.0`, `component_center_rms_sigma = 0.571 <= 1.0`), but misses the independent mode-mass balance gate (`mass_tv = 0.1948` vs. `<= 0.15`). Other selected families remain unmeasured in ordinary CUDA cohorts on this Rev 10+ Tier 1 task.","task":"model_ae_gan_multimodal","title":"Reconstruct four noisy corner Gaussians and generate balanced independent modes (AE-GAN)"},{"evidence":[{"label":"DDGAN public-API model report","path":"reports/forge/api-model-toys/ddgan.md"},{"label":"DDGAN saved-state failure investigation","path":"reports/forge/ddgan-failure-investigation/README.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ddgan_gaussian_chain.json"}],"intent":"Train a four-step public-API DDGAN on a 2D Gaussian forward diffusion chain so every reverse conditional transition (`t1..t4`, `q0`/`q1`) and the final ancestral marginal satisfy `projection_cdf <= 0.12`, `normalized_mean <= 0.25`, and covariance eigenvalues in `[0.65, 1.40]` across the last five checks.","next_step":"Improve per-timestep conditional critic discrimination and reverse-generator stochasticity at small `t` under one unchanged global recipe without per-task hyperparameter tuning.","pass_summary":"No PASS under the current declaration in either ordinary selected cohorts or bounded API research.","passers":["Oracle transition samplers pass all 38 threshold checks in the bounded protocol, confirming scorer calibration.","Saved-state diagnostics isolate the failure to conditional reverse-step variance and mean drift at `t=1, 2` rather than numerical instability."],"problem":"Both selected `atlas-particle-normal-v4` (ordinary CUDA) and the bounded `bispf-optimized-quintic-v1` API research run (CPU) match the outer reverse steps (`t3`, `t4`), but miss the sharp final denoising transitions (`t1`, `t2`) and ancestral marginal (`atlas-particle-normal-v4`: `final_projection_cdf = 0.1695 > 0.12`, `final_normalized_mean = 0.3367 > 0.25`, `t1_q0_projection_cdf = 0.2747 > 0.12`, `t1_q0_covariance_eigen_min = 0.2710 < 0.65`).","task":"model_ddgan_gaussian_chain","title":"Learn four-step conditional reverse transitions and ancestral generation (DDGAN)"},{"evidence":[{"label":"AE-DDGAN public-API model report","path":"reports/forge/api-model-toys/ae-ddgan.md"},{"label":"Task declaration","path":"configs/forge/tasks/model_ae_ddgan_gaussian_chain.json"}],"intent":"Reconstruct held-out inputs through a learned particle autoencoder and four public DDGAN reverse steps (`paired_nmse <= 0.10`, `paired_worst_axis_nrmse <= 0.25`, `paired_shuffled_gain >= 3.0`) while simultaneously passing all conditional reverse-transition and independent ancestral-chain bounds.","next_step":"Align the ancestral prior and reverse chain with the encoder latent manifold at `t=1, 2` so independent ancestral sampling retains full variance (`>= 0.65`) without degrading paired reconstruction.","pass_summary":"No complete PASS under the current declaration; paired four-step reconstruction passes while independent/conditional reverse generation fails.","passers":["Both `atlas-particle-normal-v4` (ordinary CUDA) and `bispf-optimized-quintic-v1` (bounded CPU research) pass all four paired four-step reconstruction gates with >45x-134x shuffled-input error gain.","Oracle reverse-chain controls pass all 42 gates."],"problem":"Selected `atlas-particle-normal-v4` passes every paired four-step reconstruction gate (`paired_nmse = 0.0147 <= 0.10`, `paired_worst_axis_nrmse = 0.1333 <= 0.25`, `paired_shuffled_gain = 134.67 >= 3.0`) and `final_projection_cdf = 0.1199 <= 0.12`, matching the bounded `bispf-optimized-quintic-v1` research pattern where paired encoding succeeds (`paired_nmse = 0.0441`) while independent ancestral covariance (`final_covariance_eigen_min = 0.4226 < 0.65`) and `t1`/`t2` reverse-transition bounds fail (`t1_q0_projection_cdf = 0.5950 > 0.12`).","task":"model_ae_ddgan_gaussian_chain","title":"Pair particle AE reconstruction with four-step DDGAN reverse transitions and ancestral generation"},{"evidence":[{"anchor":"precision-stretch","label":"Protocol, precision semantics and limitations","path":"reports/forge/precision-stretch/README.md"}],"intent":"Train from the shared deterministic initialization using Blackwell-format MXFP8 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks.","next_step":"Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step.","pass_summary":"Not measured. Short software checks do not establish a quality PASS.","passers":["No compatible full-budget passing configuration is recorded."],"problem":"No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified.","task":"precision_gaussian_mxfp8","title":"Learn a Gaussian with 8-bit MXFP8 training arithmetic"},{"evidence":[{"anchor":"precision-stretch","label":"Protocol, precision semantics and limitations","path":"reports/forge/precision-stretch/README.md"}],"intent":"Train from the shared deterministic initialization using Blackwell-format NVFP4 software-reference forward and backward GEMM operands; match the full scalar Gaussian law at five final checks.","next_step":"Run the unchanged selected family recipes through the optional Tier 1 tasks and their FP32 control under the expanded reservation budget. Diagnose failed bounds before changing one global recipe; native validation is a separate step.","pass_summary":"Not measured. Short software checks do not establish a quality PASS.","passers":["No compatible full-budget passing configuration is recorded."],"problem":"No full-budget family evidence has been registered. A matched FP32 diagnostic separates baseline learning failures from precision sensitivity. Native kernel and higher-order autograd parity remain unverified.","task":"precision_gaussian_nvfp4","title":"Learn a Gaussian with 4-bit NVFP4 training arithmetic"}],"schema":"forge_problem_definitions_v1"},"qualification_input":false,"qualification_reuse":false,"recorded_display_scope":{"path":"configs/forge/leaderboards/technique-inventory-full-suite-2026-10-25.json","sha256":"14155fb6273af76ef248db2da6335c22ddeab2a1deb82b3eb3f0f6cd08b19c34","text":"{\n \"schema\": \"forge_fixed_test_list_v1\",\n \"id\": \"technique-inventory-full-suite-2026-10-25\",\n \"dated\": \"2026-10-25\",\n \"leaderboard\": \"reports/forge/technique-inventory.md\",\n \"derived_from\": {\n \"rule\": \"distinct required or held tests across the inventory's counted views (full_suite_tasks)\",\n \"publication\": \"reports/forge/technique-inventory.json\",\n \"publication_sha256\": \"27db97259f727b071e97eb31ff5de7778bffa33e5a83ba13a19b47e77716fabc\",\n \"commit\": \"a3e09d3ca1affc61e502d601585235c580496c3d\"\n },\n \"policy\": \"The denominator is fixed: every listed test counts in every row as PASS, FAIL, not measured or another outcome, whether it is currently required, held or removed from a view. A test leaves the denominator only through a new dated list that keeps this one as history.\",\n \"tests\": [\n \"ae_gan_hold\",\n \"clockfree_audit\",\n \"clockfree_audit_measurement_v1\",\n \"cover_leftover\",\n \"five_word_joint_hold\",\n \"five_word_joint_smoke\",\n \"gaussian1d_smoke\",\n \"gaussian1d_stability\",\n \"grid100\",\n \"grid100_14k\",\n \"grid100_mlp16\",\n \"grid100_res16_tanh\",\n \"img_bars4\",\n \"img_blobs4\",\n \"img_intensity2\",\n \"img_stripes2\",\n \"mid_scale_identity\",\n \"misgan_block_neural_imputer\",\n \"misgan_block_recovery\",\n \"mode_hold\",\n \"model_ae_ddgan_bimodal_chain\",\n \"model_ae_ddgan_gaussian_chain\",\n \"model_ae_gan_multimodal\",\n \"model_ae_reconstruction\",\n \"model_ddgan_bimodal_chain\",\n \"model_ddgan_gaussian_chain\",\n \"model_vae_categorical\",\n \"model_vae_hard\",\n \"residual_student\",\n \"ring16_acquisition\",\n \"ring16_bigan_continuous\",\n \"ring_extension\",\n \"rotated100\",\n \"rotated100_14k\",\n \"staggered100\",\n \"staggered100_14k\",\n \"target_shift_recovery\",\n \"trajectory\",\n \"two_pole\",\n \"unipolar\",\n \"unused_token_hold\",\n \"vector_anisotropic\",\n \"vector_overlap\",\n \"vector_spiral\",\n \"vector_two_broad\",\n \"vector_unequal_mass\",\n \"vector_unequal_width\",\n \"zero_tanh_rail_escape\",\n \"zero_tanh_smoke\"\n ]\n}\n"},"renderer_sha256":"bde9b815cfe06e5e236e490c9c891c5f46499c83ebdb98008fecad28b22e06d1","research_renderer_sha256":"bf51e02b7f9af7fb9cda98058441742b32085a73f49836ed987226a1e9b1c05d","run_attempt_coverage":{"attempted":1047,"counts":{"BLOCKED":174,"ERROR":9,"FAIL":457,"INCOMPLETE":3,"PASS":385,"TIMEOUT":19},"pending":0,"running":0,"total":1047},"schema_version":1,"scope":"recorded_view_progress","scoped_views":["bispf_throughput_endurance","bispf_throughput_small","lazy_cadence_coverage","policy_cloud_coverage","policy_cloud_coverage_as_served","tier1_policy_coverage"],"tag_definitions":{"adaptive-training-policy":"Uses an observation-driven training policy rather than a fixed update schedule.","adversarial-training":"Trains a generator against a critic; task-owned auxiliary objectives may also apply.","capped-input-gradients":"Penalizes critic input-gradient norms above a threshold on real and generated inputs; this is a soft loss penalty.","constant-learning-rate":"Declared baseline uses constant learning rates; resolved per-role rates remain configuration-specific.","critic-gradient-penalty":"Uses a penalty on critic input gradients; its formula and strength are configuration-specific.","historical-cohort":"A retained historical family with its original source, prior and scoring contracts.","learning-rate-annealing":"Declared baseline decreases learning rates during training; horizons and floors are configuration-specific.","native-adam":"Uses native Adam without formulation-specific optimizer interventions.","optimizer-interventions":"Includes formulation-specific interventions around optimizer 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on","vector_unequal_mass":"configs/forge/tasks/vector_unequal_mass.json","vector_unequal_mass_policy_cloud_coverage_as_served_v1":"configs/forge/task-variants/policy_cloud_coverage_as_served_v1/vector_unequal_mass_policy_cloud_coverage_as_served_v1.json","vector_unequal_mass_policy_cloud_coverage_v1":"configs/forge/task-variants/policy_cloud_coverage_v1/vector_unequal_mass_policy_cloud_coverage_v1.json","vector_unequal_mass_published":"configs/forge/tasks/vector_unequal_mass_published.json","vector_unequal_width":"configs/forge/tasks/vector_unequal_width.json","vector_unequal_width_policy_cloud_coverage_as_served_v1":"configs/forge/task-variants/policy_cloud_coverage_as_served_v1/vector_unequal_width_policy_cloud_coverage_as_served_v1.json","vector_unequal_width_policy_cloud_coverage_v1":"configs/forge/task-variants/policy_cloud_coverage_v1/vector_unequal_width_policy_cloud_coverage_v1.json","vector_unequal_width_published":"configs/forge/tasks/vector_unequal_width_published.json","zero_tanh_rail_escape":"configs/forge/tasks/zero_tanh_rail_escape.json","zero_tanh_smoke":"configs/forge/tasks/zero_tanh_smoke.json"},"tiers":["1","2","3","4"],"views":[{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"required","order":0,"qualification_tier":3,"task":"target_shift_recovery"}],"calibration":{"adoption_blocker":"Phase D historical calibration remains required","status":"provisional"},"eligibility":{},"goal":"adaptation","id":"adaptation","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/adaptation-v3.json","policy_fingerprint":"41cac2c9c5c17d5e0f73d709bf26b87cc935b782cd02ee2bef6be4cec4855843","revision":3},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":4,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-develop-integration-deeper-diagnostic-v1","policy_change_reason":"Complete remaining full-gate measurements after a failed integrated ordinary screen; separate diagnostic evidence and own checkpoint dependencies, no qualification credit.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"staggered100"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-projection-baseline-repair-diagnostic-v1","policy_change_reason":"One fixed-seed paired research comparison. Original numerical questions and own checkpoint dependencies retained; independent deeper measurements confer no ordinary qualification.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-tier1-stability-diagnostic-v1","policy_change_reason":"Six fixed trainer ablations on the original two-pole question; no ordinary qualification.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole"}],"calibration":{"adoption_blocker":"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap-tier1-stability-repairs-diagnostic-v1","policy_change_reason":"Six fixed trainer ablations on the original two-pole question; no ordinary qualification.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"img_blobs4"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"img_intensity2"}],"calibration":{"adoption_blocker":"Four source-bound image diagnostics do not qualify a new source or adopt public defaults.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bcap_convolution_images","policy_change_reason":"Explicitly scoped capability-repair rerun of four unchanged Tier2 image gates. Diagnostic scheduler placement does not change original task budgets or grading; other Tier2 and Tier1 evidence stays under its original source.","ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"raw_metrics_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2_w64_optimizer_diagnostic"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4_w64_optimizer_diagnostic"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_fastpath_quality","policy_change_reason":"Explicit architecture-portability diagnostic: width64 variants of the original 8x8 stripe and bar hosts exercise CUDA convolutional polar fast paths. Preserve all original numerical fidelity/coverage gates and native control evidence. These distinct larger-capacity task identities supply no ordinary qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"ring_hold"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"ring_extension"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_throughput_endurance","policy_change_reason":"Presentation only: scope this BISPF execution diagnostic to the BISPF family page. Preserve original revision1 bytes, frozen requests, task contracts, all numerical results and zero ordinary qualification credit.","previous_revision":{"archive":"configs/forge/view-history/bispf_throughput_endurance-v1.json","policy_fingerprint":"0fcefe315626e23066a6479e61a47be29556575a7e59d6b8a77cee3f1e4ef7cd","revision":1},"ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"reporting":{"families":["bispf"],"family_totals":false},"revision":2,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"img_stripes2"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"img_bars4"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"bispf_throughput_small","policy_change_reason":"Presentation only: scope this BISPF execution diagnostic to the BISPF family page. Preserve original revision1 bytes, frozen requests, task contracts, all numerical results and zero ordinary qualification credit.","previous_revision":{"archive":"configs/forge/view-history/bispf_throughput_small-v1.json","policy_fingerprint":"cd642095ff4c8d14618242be0903b1d75a46e384f4314f3d330f4269d27c750e","revision":1},"ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"reporting":{"families":["bispf"],"family_totals":false},"revision":2,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":1,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":2,"qualification_tier":3,"task":"ring_extension"},{"importance":"required","order":3,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"importance":"required","order":3,"qualification_tier":3,"task":"grid100_14k"},{"importance":"required","order":4,"qualification_tier":3,"task":"rotated100_14k"},{"importance":"required","order":5,"qualification_tier":3,"task":"staggered100_14k"},{"importance":"required","order":6,"qualification_tier":3,"task":"target_shift_recovery"},{"importance":"required","order":0,"qualification_tier":3,"task":"clockfree_audit"}],"calibration":{"adoption_blocker":"Phase D historical calibration remains required","status":"provisional"},"eligibility":{"claim_contract":{"learning":"clockfree","shared_settings":true},"requires_capabilities":["named_rng","checkpoint"]},"goal":"clockfree_continuous","id":"clockfree_continuous","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged. Restore the existing clockfree_audit gate because required native continuations depend on it.","previous_revision":{"archive":"configs/forge/view-history/clockfree_continuous-v4.json","policy_fingerprint":"356fc81314bfe1a919c6e288f6c6ae8b27fa95d8a8cfb1b227da78915d8fa75d","revision":4},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":5,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"dcgan_performance_r32"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"dcgan_performance_r64"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"dcgan_performance_r128"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"dcgan_performance_r256"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"dcgan_performance_b64"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"dcgan_performance_w128"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"image_performance","id":"dcgan_performance","policy_change_reason":"Explicit image training speed and memory diagnostics, independent of scientific quality gates. A finite completed update budget supplies no qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"dcgan_performance_cpu_smoke"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"image_performance","id":"dcgan_performance_cpu_smoke","policy_change_reason":"Explicit image training speed and memory diagnostics, independent of scientific quality gates. A finite completed update budget supplies no qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"ddgan_repair_gaussian_chain_v1"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"ddgan_repair_bimodal_chain_wall_v2"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"ddgan_conditional_repair","id":"ddgan-conditional-repair-v1","policy_change_reason":"LoadedGPU0 first-round bimodal attempts exhausted600s before5000updates. Preserve original attempts/gates and replace only the future diagnostic wall allowance with1200s; complete Gaussian baseline is reused if source-compatible. No ordinary qualification or quality-bound relaxation.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":2,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"required","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"required","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"required","order":6,"qualification_tier":1,"task":"zero_tanh_smoke"},{"importance":"required","order":0,"qualification_tier":2,"task":"gaussian1d_stability"},{"importance":"required","order":1,"qualification_tier":2,"task":"five_word_joint_hold"},{"importance":"required","order":2,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":3,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":4,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":5,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":6,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":7,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":8,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":11,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":12,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":13,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":14,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":15,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":16,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":17,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":18,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":19,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":20,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":100,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements.","schema":"forge_hold_v1","summary":"Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe."},"importance":"held","order":2,"qualification_tier":3,"task":"zero_tanh_rail_escape"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements.","schema":"forge_hold_v1","summary":"16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes."},"importance":"held","order":0,"qualification_tier":4,"task":"grid100_mlp16"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation.","schema":"forge_hold_v1","summary":"16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe."},"importance":"held","order":1,"qualification_tier":4,"task":"grid100_res16_tanh"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes misgan_block_recovery under its unchanged declaration.","schema":"forge_hold_v1","summary":"2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation."},"importance":"held","order":2,"qualification_tier":4,"task":"misgan_block_recovery"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration.","schema":"forge_hold_v1","summary":"3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback."},"importance":"held","order":3,"qualification_tier":4,"task":"misgan_block_neural_imputer"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","previous_importance":"required","reason":"unsolved","reentry":"Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration.","schema":"forge_hold_v1","summary":"Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe."},"importance":"held","order":4,"qualification_tier":4,"task":"ring16_bigan_continuous"},{"importance":"stretch","order":5,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair."},"task":"misgan_mcar_p50_recovery"},{"importance":"stretch","order":6,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset."},"task":"misgan_mcar_p80_anchored"},{"importance":"stretch","order":7,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes."},"task":"pacgan_unequal_mass"},{"importance":"stretch","order":8,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage."},"task":"pacgan8_grid100"},{"importance":"stretch","order":9,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction."},"task":"alice_spiral_bigan"},{"importance":"stretch","order":10,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"InfoGAN mutual-information auxiliary head Q(c|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement."},"task":"infogan_anisotropic_modes"},{"importance":"stretch","order":11,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability."},"task":"cgan_overlapping_classes"},{"importance":"stretch","order":12,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid."},"task":"cramer_energy_overlap"},{"importance":"stretch","order":13,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations."},"task":"cyclegan_unpaired_constellation"},{"importance":"stretch","order":14,"qualification_tier":4,"stretch":{"explanation":"reports/forge/test-dispositions-20261015/README.md#unresolved","reason":"frontier","schema":"forge_stretch_v1","summary":"Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion."},"task":"grid100_res16_scaled_tanh"},{"importance":"required","order":21,"qualification_tier":2,"task":"model_ae_ddgan_bimodal_chain"},{"calibration_note":"Reclassified from Tier 1 to Tier 2: tests a 4-step reverse diffusion chain demanding 42 simultaneous distribution matching bounds across 8 panels, ancestral marginal distributions, and AE reconstruction; generator prediction variance at step 1 (t=1, where reverse diffusion noise is 0%) requires multi-step distribution quality beyond the 2,500-step smoke scope of Tier 1, matching the complexity of model_ae_ddgan_bimodal_chain.","importance":"required","order":7,"qualification_tier":2,"task":"model_ae_ddgan_gaussian_chain"},{"importance":"required","order":8,"qualification_tier":1,"task":"model_ae_gan_multimodal"},{"importance":"required","order":9,"qualification_tier":1,"task":"model_ae_reconstruction"},{"importance":"required","order":22,"qualification_tier":2,"task":"model_ddgan_bimodal_chain"},{"calibration_note":"Reclassified from Tier 1 to Tier 2: tests a 4-step reverse diffusion chain demanding 38 simultaneous distribution matching bounds across 8 panels and ancestral marginal distributions; generator prediction variance at step 1 (t=1, where reverse diffusion noise is 0%) requires multi-step distribution quality beyond the 2,500-step smoke scope of Tier 1, matching the complexity of model_ddgan_bimodal_chain.","importance":"required","order":10,"qualification_tier":2,"task":"model_ddgan_gaussian_chain"},{"importance":"required","order":11,"qualification_tier":1,"task":"model_vae_categorical"},{"importance":"required","order":12,"qualification_tier":1,"task":"model_vae_hard"},{"importance":"diagnostic","order":101,"qualification_tier":1,"task":"precision_gaussian_fp32"},{"importance":"stretch","order":102,"qualification_tier":1,"stretch":{"explanation":"reports/forge/precision-stretch/README.md#precision-stretch","graduation":"Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass.","reason":"frontier","summary":"Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic?"},"task":"precision_gaussian_mxfp8"},{"importance":"stretch","order":103,"qualification_tier":1,"stretch":{"explanation":"reports/forge/precision-stretch/README.md#precision-stretch","graduation":"Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass.","reason":"frontier","summary":"Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic?"},"task":"precision_gaussian_nvfp4"}],"calibration":{"adoption_blocker":"Revision9 recipe-owned prior comparisons are provisional and require bounded calibration before scientific default adoption. Archived task declarations and gates retain their original identities.","status":"provisional"},"eligibility":{},"goal":"discriminator_stability","id":"discriminator_stability","policy_change_reason":"Archive the exact develop revision-15 policy, preserving all required, held, and stretch assignments. Add paired Tier 4 stretch task grid100_res16_scaled_tanh alongside unnormalized grid100_mlp16 and grid100_res16_tanh; required qualification and historical numerical results are unchanged.","previous_revision":{"archive":"configs/forge/view-history/discriminator_stability-v15.json","policy_fingerprint":"ad156a02a8d44077d707f1324959b0b865824411ca08d9b5d5098ae7d1a69497","revision":15},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":16,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":19,"qualification_tier":2,"task":"img_intensity2_residual16"},{"importance":"diagnostic","order":20,"qualification_tier":2,"task":"vector_two_broad_published"},{"importance":"diagnostic","order":21,"qualification_tier":2,"task":"vector_unequal_mass_published"},{"importance":"diagnostic","order":22,"qualification_tier":2,"task":"vector_unequal_width_published"},{"importance":"diagnostic","order":23,"qualification_tier":2,"task":"vector_anisotropic_published"},{"importance":"diagnostic","order":24,"qualification_tier":2,"task":"vector_overlap_published"},{"importance":"diagnostic","order":25,"qualification_tier":2,"task":"vector_spiral_published"},{"importance":"diagnostic","order":26,"qualification_tier":2,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":27,"qualification_tier":2,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":28,"qualification_tier":2,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":29,"qualification_tier":2,"task":"grid100_affine_square_named_v1"},{"importance":"diagnostic","order":30,"qualification_tier":2,"task":"rotated100_affine_square_named_v1"},{"importance":"diagnostic","order":31,"qualification_tier":2,"task":"staggered100_affine_square_named_v1"},{"importance":"diagnostic","order":32,"qualification_tier":2,"task":"grid100_affine_paired_laws_v1"},{"importance":"diagnostic","order":33,"qualification_tier":2,"task":"grid100_release07_cloud_named_v1"}],"calibration":{"adoption_blocker":"Host-profile transfer and full current-cohort positive/negative reference calibration remain required; no archived pass is imported.","status":"provisional"},"eligibility":{},"goal":"host_profile_transfer","id":"formulation_comparison","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/formulation_comparison-v2.json","policy_fingerprint":"b0532147d576450ca98f63d4878d62c7a6d0553c2cfaef91db45850b7be0e5e8","revision":2},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":3,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass."},"importance":"held","order":15,"qualification_tier":2,"task":"img_intensity2"},{"importance":"required","order":16,"qualification_tier":2,"task":"grid100"},{"importance":"required","order":17,"qualification_tier":2,"task":"rotated100"},{"importance":"required","order":18,"qualification_tier":2,"task":"staggered100"},{"importance":"diagnostic","order":0,"qualification_tier":3,"removal":{"counted_by":"ring_extension","explanation":"reports/forge/test-dispositions-20261015/README.md#ring_hold","previous_importance":"required","reason":"phase","schema":"forge_count_removal_v1","summary":"Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension."},"task":"ring_hold"},{"importance":"required","order":1,"qualification_tier":3,"task":"ring_extension"},{"importance":"diagnostic","order":19,"qualification_tier":2,"task":"img_intensity2_residual16"},{"importance":"diagnostic","order":20,"qualification_tier":2,"task":"vector_two_broad_published"},{"importance":"diagnostic","order":21,"qualification_tier":2,"task":"vector_unequal_mass_published"},{"importance":"diagnostic","order":22,"qualification_tier":2,"task":"vector_unequal_width_published"},{"importance":"diagnostic","order":23,"qualification_tier":2,"task":"vector_anisotropic_published"},{"importance":"diagnostic","order":24,"qualification_tier":2,"task":"vector_overlap_published"},{"importance":"diagnostic","order":25,"qualification_tier":2,"task":"vector_spiral_published"},{"importance":"diagnostic","order":26,"qualification_tier":2,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":27,"qualification_tier":2,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":28,"qualification_tier":2,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":29,"qualification_tier":2,"task":"grid100_affine_square_named_v1"},{"importance":"diagnostic","order":30,"qualification_tier":2,"task":"rotated100_affine_square_named_v1"},{"importance":"diagnostic","order":31,"qualification_tier":2,"task":"staggered100_affine_square_named_v1"}],"calibration":{"adoption_blocker":"Host-profile transfer and full current-cohort positive/negative reference calibration remain required; no archived pass is imported.","status":"provisional"},"eligibility":{},"goal":"host_profile_transfer","id":"host_profile_transfer","policy_change_reason":"0.10 convergence policy: accurate acquisition, Gaussian settling and post-acquisition endurance/recovery are required even when no current recipe passes. The owner explicitly restores these requirements; their previous holds are archived, not satisfied or regraded. Task protocols, numerical bounds, recipe/source selections and historical qualifications remain unchanged.","previous_revision":{"archive":"configs/forge/view-history/host_profile_transfer-v5.json","policy_fingerprint":"4ec7d71aadf95810078097fab7b5fe04cc1a6e575bb902dd8a9db014e4048681","revision":5},"ranking":{"compare_compatible_cohorts":true,"cost_separate":true,"policy":"qualified_tier_only_with_raw_metrics"},"revision":6,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"two_pole_800_schedule80_diagnostic_v1"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole_800_schedule800_diagnostic_v1"}],"calibration":{"adoption_blocker":"Bounded budget/schedule diagnostic supplies no ordinary qualification, screen calibration or default adoption.","status":"provisional"},"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"k3p_two_pole_horizon","policy_change_reason":"Explicitly scoped two-pole budget and schedule diagnostic; continue both registered tasks after numerical failure. 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Each variant keeps its parent architecture, data, budget, cadence and gates, binds an explicit equal-mass particle cloud and scores the state-selected served model without output noise. Original live/MoG parents receive no credit; incompatible hosts keep explicit ownership blockers.","eligibility":{},"goal":"discriminator_stability","id":"policy_cloud_coverage","reporting":{"families":["atlas","e22"],"family_totals":false},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole_policy_cloud_coverage_v1"},{"importance":"required","order":1,"qualification_tier":1,"task":"gaussian1d_smoke_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":2,"qualification_tier":1,"task":"ring16_acquisition_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":3,"qualification_tier":1,"task":"clockfree_audit_measurement_v1_policy_cloud_coverage_v1"},{"importance":"required","order":4,"qualification_tier":1,"task":"unused_token_hold_policy_cloud_coverage_v1"},{"importance":"required","order":5,"qualification_tier":1,"task":"ae_gan_hold_policy_cloud_coverage_v1"},{"importance":"required","order":6,"qualification_tier":1,"task":"five_word_joint_smoke_policy_cloud_coverage_v1"},{"importance":"required","order":7,"qualification_tier":2,"task":"gaussian1d_stability_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":8,"qualification_tier":2,"task":"grid100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":9,"qualification_tier":2,"task":"rotated100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":10,"qualification_tier":2,"task":"staggered100_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":11,"qualification_tier":2,"task":"img_stripes2_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_bars4_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":13,"qualification_tier":2,"task":"img_blobs4_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":14,"qualification_tier":2,"task":"img_intensity2_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":15,"qualification_tier":2,"task":"mode_hold_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":16,"qualification_tier":2,"task":"vector_two_broad_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":17,"qualification_tier":2,"task":"vector_unequal_mass_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":18,"qualification_tier":2,"task":"vector_unequal_width_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":19,"qualification_tier":2,"task":"vector_anisotropic_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":20,"qualification_tier":2,"task":"vector_overlap_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":21,"qualification_tier":2,"task":"vector_spiral_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":22,"qualification_tier":2,"task":"five_word_joint_hold_policy_cloud_coverage_v1"},{"importance":"required","order":23,"qualification_tier":2,"task":"trajectory_policy_cloud_coverage_v1"},{"importance":"required","order":24,"qualification_tier":2,"task":"residual_student_policy_cloud_coverage_v1"},{"importance":"required","order":25,"qualification_tier":2,"task":"cover_leftover_policy_cloud_coverage_v1"},{"importance":"required","order":26,"qualification_tier":2,"task":"unipolar_policy_cloud_coverage_v1"},{"importance":"required","order":27,"qualification_tier":2,"task":"mid_scale_identity_policy_cloud_coverage_v1"},{"importance":"required","order":28,"qualification_tier":3,"task":"clockfree_audit_policy_cloud_coverage_v1"},{"importance":"required","order":29,"qualification_tier":3,"task":"grid100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":30,"qualification_tier":3,"task":"rotated100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":31,"qualification_tier":3,"task":"staggered100_14k_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":32,"qualification_tier":3,"task":"ring_hold_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":33,"qualification_tier":3,"task":"ring_extension_policy_cloud_coverage_as_served_v1"},{"importance":"required","order":34,"qualification_tier":3,"task":"target_shift_recovery_policy_cloud_coverage_as_served_v1"}],"description":"As-served law of the Atlas/E22 policy-cloud scoped tests, at their selected-view tiers. Each as-served variant is its clean policy-cloud variant with one declared difference: measured samples keep the learned output noise exactly as GANTrainer serves it (learned sigma with its policy floor), with state-selected weights, the actual latent policy and isolated evaluation streams. Law-independent tests (the two-pole parameter measurement, the clock audits and the ownership-blocked hosts) are shared: this view assigns their clean declarations, which run once. Original parents receive no credit.","eligibility":{},"goal":"discriminator_stability","id":"policy_cloud_coverage_as_served","reporting":{"families":["atlas","e22"],"family_totals":false},"revision":1,"schema_version":1},{"assignments":[{"importance":"diagnostic","order":0,"qualification_tier":1,"task":"gaussian1d_smoke"},{"importance":"diagnostic","order":1,"qualification_tier":1,"task":"two_pole"},{"importance":"diagnostic","order":2,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"diagnostic","order":3,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"diagnostic","order":4,"qualification_tier":1,"task":"ring16_acquisition"},{"importance":"diagnostic","order":5,"qualification_tier":1,"task":"five_word_joint_smoke"},{"importance":"diagnostic","order":6,"qualification_tier":1,"task":"zero_tanh_smoke"},{"importance":"diagnostic","order":7,"qualification_tier":1,"task":"model_ae_ddgan_gaussian_chain"},{"importance":"diagnostic","order":8,"qualification_tier":1,"task":"model_ae_gan_multimodal"},{"importance":"diagnostic","order":9,"qualification_tier":1,"task":"model_ae_reconstruction"},{"importance":"diagnostic","order":10,"qualification_tier":1,"task":"model_ddgan_gaussian_chain"},{"importance":"diagnostic","order":11,"qualification_tier":1,"task":"model_vae_categorical"},{"importance":"diagnostic","order":12,"qualification_tier":1,"task":"model_vae_hard"},{"importance":"diagnostic","order":13,"qualification_tier":1,"task":"clockfree_audit_measurement_v1"},{"importance":"diagnostic","order":14,"qualification_tier":1,"task":"clockfree_audit"},{"importance":"diagnostic","order":15,"qualification_tier":1,"task":"gaussian1d_stability"},{"importance":"diagnostic","order":16,"qualification_tier":1,"task":"five_word_joint_hold"},{"importance":"diagnostic","order":17,"qualification_tier":1,"task":"trajectory"},{"importance":"diagnostic","order":18,"qualification_tier":1,"task":"residual_student"},{"importance":"diagnostic","order":19,"qualification_tier":1,"task":"unipolar"},{"importance":"diagnostic","order":20,"qualification_tier":1,"task":"cover_leftover"},{"importance":"diagnostic","order":21,"qualification_tier":1,"task":"mid_scale_identity"},{"importance":"diagnostic","order":22,"qualification_tier":1,"task":"mode_hold"},{"importance":"diagnostic","order":23,"qualification_tier":1,"task":"vector_two_broad"},{"importance":"diagnostic","order":24,"qualification_tier":1,"task":"vector_unequal_mass"},{"importance":"diagnostic","order":25,"qualification_tier":1,"task":"vector_unequal_width"},{"importance":"diagnostic","order":26,"qualification_tier":1,"task":"vector_anisotropic"},{"importance":"diagnostic","order":27,"qualification_tier":1,"task":"vector_overlap"},{"importance":"diagnostic","order":28,"qualification_tier":1,"task":"vector_spiral"},{"importance":"diagnostic","order":29,"qualification_tier":1,"task":"img_stripes2_residual16"},{"importance":"diagnostic","order":30,"qualification_tier":1,"task":"img_bars4_residual16"},{"importance":"diagnostic","order":31,"qualification_tier":1,"task":"img_blobs4_residual16"},{"importance":"diagnostic","order":32,"qualification_tier":1,"task":"img_intensity2"},{"importance":"diagnostic","order":33,"qualification_tier":1,"task":"grid100"},{"importance":"diagnostic","order":34,"qualification_tier":1,"task":"rotated100"},{"importance":"diagnostic","order":35,"qualification_tier":1,"task":"staggered100"},{"importance":"diagnostic","order":36,"qualification_tier":1,"task":"model_ae_ddgan_bimodal_chain"},{"importance":"diagnostic","order":37,"qualification_tier":1,"task":"model_ddgan_bimodal_chain"},{"importance":"diagnostic","order":38,"qualification_tier":1,"task":"ring_hold"},{"importance":"diagnostic","order":39,"qualification_tier":1,"task":"ring_extension"},{"importance":"diagnostic","order":40,"qualification_tier":1,"task":"zero_tanh_rail_escape"},{"importance":"diagnostic","order":41,"qualification_tier":1,"task":"grid100_14k"},{"importance":"diagnostic","order":42,"qualification_tier":1,"task":"rotated100_14k"},{"importance":"diagnostic","order":43,"qualification_tier":1,"task":"staggered100_14k"},{"importance":"diagnostic","order":44,"qualification_tier":1,"task":"target_shift_recovery"},{"importance":"diagnostic","order":45,"qualification_tier":1,"task":"misgan_block_recovery"},{"importance":"diagnostic","order":46,"qualification_tier":1,"task":"misgan_block_neural_imputer"},{"importance":"diagnostic","order":47,"qualification_tier":1,"task":"ring16_bigan_continuous"}],"eligibility":{},"evidence_scope":"research_diagnostic","goal":"discriminator_stability","id":"prior-ablation-full-suite-v1","policy_change_reason":"Matched prior ablation over the dated test list technique-inventory-full-suite-2026-10-25 (49 tests) plus ring_hold, the phase that ring_extension continues, less grid100_mlp16 and grid100_res16_tanh, whose native model variants have no explicit profile and cannot bind. Every task keeps its declaration, gates, architecture, data law, initial prior distribution/capacity, initialization, budget, sampling and cadence; only the declared trainer delta varies across candidates. All assignments are diagnostic so independent tasks run without tier vetoes; checkpoint and gate dependencies still apply. No ordinary qualification or default-adoption credit.","ranking":{"cost_separate":true,"policy":"diagnostic_outcomes_only"},"revision":1,"schema_version":1},{"assignments":[{"importance":"required","order":0,"qualification_tier":1,"task":"two_pole"},{"importance":"required","order":1,"qualification_tier":1,"task":"unused_token_hold"},{"importance":"required","order":2,"qualification_tier":1,"task":"ae_gan_hold"},{"importance":"required","order":0,"qualification_tier":2,"task":"trajectory"},{"importance":"required","order":1,"qualification_tier":2,"task":"residual_student"},{"importance":"required","order":2,"qualification_tier":2,"task":"unipolar"},{"importance":"required","order":3,"qualification_tier":2,"task":"cover_leftover"},{"importance":"required","order":4,"qualification_tier":2,"task":"mid_scale_identity"},{"importance":"required","order":5,"qualification_tier":2,"task":"mode_hold"},{"importance":"required","order":6,"qualification_tier":2,"task":"vector_two_broad"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_mass","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together.","schema":"forge_hold_v1","summary":"The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite."},"importance":"held","order":7,"qualification_tier":2,"task":"vector_unequal_mass"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_unequal_width","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together.","schema":"forge_hold_v1","summary":"Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite."},"importance":"held","order":8,"qualification_tier":2,"task":"vector_unequal_width"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_anisotropic","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold."},"importance":"held","order":9,"qualification_tier":2,"task":"vector_anisotropic"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#vector_overlap","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold.","schema":"forge_hold_v1","summary":"One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold."},"importance":"held","order":10,"qualification_tier":2,"task":"vector_overlap"},{"importance":"required","order":11,"qualification_tier":2,"task":"vector_spiral"},{"importance":"required","order":12,"qualification_tier":2,"task":"img_stripes2"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_bars4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2."},"importance":"held","order":13,"qualification_tier":2,"task":"img_bars4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_blobs4","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests."},"importance":"held","order":14,"qualification_tier":2,"task":"img_blobs4"},{"hold":{"blocked_by":[],"explanation":"reports/forge/test-dispositions-20261015/README.md#img_intensity2","previous_importance":"required","reason":"no_global_recipe","reentry":"Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test.","schema":"forge_hold_v1","summary":"Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. 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override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"3caeb654c3ca5e54e6352f858863629b673565328db4c70516387a1c0f10633a":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"3d293ddd79224b0127cf5e7aa76d5b62701188f15c9c51804eda6f2ba1ddbf95":["residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification; residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"406a550cab4e6e0b2101cded8fb3ed3d111d78a025f4a544e490eee529d09e4c":["cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"418d5f539afc8a7faf1c890cf052ecbc2efbd2a5ff052ffdeda183fa019057f4":["two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"4350102152181237f58c6e0b2aba58841549e4c8e75c80e5d599e7f758f0b1f1":["vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"451569e00457e621a1645aa6261be27595cd98a7e2f513a69bcc370dc06de6e1":[{"message":"nonfinite joint word public-API update","type":"FloatingPointError"}],"4611482c6f1413eddd50e37aba3d8f89b99deda053179221f5620e65ba05e1b0":["grid100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; grid100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"47324e469c1f7c5282c2d27901e0105de6de1e5eab523f0c75b547c4a3f5b513":["vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_two_broad: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4905f54fd1bf6420ea929c64d1be87a903b6c6098e28149af4d26850396e3cf7":["rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4bebc8fe1e68631887491ddee90ccad94762e426bcc87b159358193db8bb6a54":["unused_token_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'model' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'model' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unused_token_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"4d4315b38a56ace20eb38381f1097d6edbafa462afd6ba3ecc41d93d32534996":["missing capability live_sampling; cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"4f1b40b3f6d55d106a06d776cc25f9b2c1209c75cadfc405376a6eb0295bc80a":["img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"502807390e6ec301ae11c29d406bca37969e806ae9cd628c8b0cb1a4b0a90716":["candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"51af32469c52ca677bb548438aa4f7fcadcd784b0b1071351b9f06ea9a6dbd54":["candidate overrides frozen host resource batch_size; declare a different task; candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"52941c3e3e652a5f450c078b61319813e82102de8d7151bfc48b876e396ad94f":["residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"563fd6daba15a67611339d870ed9bd8901557f5403f19857e0750c114fc711b2":["missing capability live_sampling; img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"57c225511ab3340184832076846041c13ec897ab6887839bbe77492d8349e2e1":["ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"583280c231446e28bc039f99084ae84673b0ea8874a1e330c64e33d90fdeb30e":["img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"59376660ec3dc2811f6819b5c8fb71bb635d0b925b1d12074725533a65b9c832":["ring16_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"5ad261e3892959526bb35598623c9a8302486643724dd9fbb9cd2d9177b2d251":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"5b05000b2bf14dfc2364709298afee5de561d97e57e5113bd4065d81b842666f":["unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"5e5d9a674cf92627f56a1ec60241cddc9d20cda5acc8c82550d3fd3561708878":["misgan_block_neural_imputer: unsupported vector target declaration"],"5e616584246e8eb43bdcfdd530cc4a75557b365cb4d1f96111b6cbe730015d63":[{"message":"dualnorm supports matrix weights and vector/scalar biases only","type":"ValueError"}],"5e7004e149ee48466bd4001537f1a1c9ead70c8cc2852486fbffaf38351e4943":["five_word_joint_smoke: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"5fef1a7ad80dd6f1c2536b8c69f3f2099d1dcd439699a634886038f7eb93eef5":["missing capability live_sampling; missing capability mog_prior; vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"605cbde7915a2bded34a4ba128b215279651bcfa2783c00a1cb9329e625b251e":["unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"6374aebdf0337bc27c23695fc95326cb68d4c4a8daafdd71a63e78f946948e97":["two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification; two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"64fddcaa36ac7e8fdcbe70e067a5c893ab4b13fae78bead1564d62d3aedc1f34":["trajectory: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; trajectory: recipe override 'batch_size' is owned by the frozen host; revise its task specification; trajectory: recipe override 'conditioning' is owned by the frozen host; revise its task specification; trajectory: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; trajectory: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; trajectory: recipe override 'model' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_classes' is owned by the frozen host; revise its task specification; trajectory: recipe override 'num_particles' is owned by the frozen host; revise its task specification; trajectory: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"6618b216b860489312c7a236582ab5185de735e44e378f8843345376f3b6c23d":["missing capability live_sampling; missing capability mog_prior; ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6820c1e6cf5d4c74c8bc211e54509810453355c96223f07b1301641dc44445ef":["img_stripes2: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6b125291fdc9ca53978973e9094a082b1208ee2096bba57d97a9d30126f85458":["every joint generation/inverse check throughout the fixed continuation window"],"6bf7343c78ef60fda43eda14c3ea6a129df1bc2790bfe643a16fb89c85c38887":["missing capability live_sampling; residual_student: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6d813ff7c047336b109aa534fbcab1cc750e4d740fa2ecd12aa6d44699febb2b":["unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"6e4eb5954a4290063638d56d88c5f6c65e25864dc07e117e7dc654bf30c92f4d":["two_pole: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; two_pole: recipe override 'batch_size' is owned by the frozen host; revise its task specification; two_pole: recipe override 'conditioning' is owned by the frozen host; revise its task specification; two_pole: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; two_pole: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; two_pole: recipe override 'model' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"6ee7e8d1fc346df3fcedbb3e413d722c1b16238ea52941500fd25e5b77f926a9":["missing capability live_sampling; missing capability mog_prior; vector_unequal_width: clean/live 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contract; freeze a policy-aware task before reservation"],"762b43e63cc7c62914dfa453a2d75c9a0ddd82ceaee52cfbc810c838f8325684":["residual_student: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; residual_student: recipe override 'batch_size' is owned by the frozen host; revise its task specification; residual_student: recipe override 'conditioning' is owned by the frozen host; revise its task specification; residual_student: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; residual_student: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; residual_student: recipe override 'model' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_classes' is owned by the frozen host; revise its task specification; residual_student: recipe override 'num_particles' is owned by the frozen host; revise its task specification; residual_student: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; residual_student: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; residual_student: recipe override 'total_steps' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; residual_student: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; residual_student: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"78c6dd2089245815c8352d92b3871e53ef96e6b5d27abaace269e3b2500093e2":["mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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specification; trajectory: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; trajectory: recipe override 'total_steps' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; trajectory: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; trajectory: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"7b6a0564bead8c1e5475ebbded6a513c204fef4f5b6280108b581d29161d16eb":["five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"7c2df6732754f2a3008b670ac01338a9599017701e6e1237b4efbdce370db4b7":["recomputed origin point-mass contraction gates"],"7cf72caa25682e24e8e5ef3b6f310e952da53afb4ea86924185b6bf9c403f265":["request cancelled"],"7db6602eeacce97375814cf40351d88e8abafa225890438df64885de9aa0307c":["mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; mid_scale_identity: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"81b8a71acc690421360f5f1175d25dd278b0d126d7c8a01cfd31c098d40bbfa4":[{"message":"nonfinite public training loss","type":"FloatingPointError"}],"825d0ee2b0bc00c6087b56fa812fd87736178838ece1abedc8280d07b7c33a38":["task wall-time budget exhausted"],"82d59cd8e091feb4d53336eb5af2ca06ed9b8228f3e7859c201d176df6c149e1":["mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"847e12383d5a1b4fb3c760cd9387e236d9c68eba5265b64086396b075c8716e5":["required capability unavailable: mog_prior"],"851fbfe90f3ad12da1b3cc2525967cec258941735cdb2ae1a9bf6dbea0f53300":["missing capability live_sampling; trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"87a5d9a6f746bde0002cd85986c8bbaac51e70a44735a9991e18a7d6693ab68e":["vector_unequal_width: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_unequal_width: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"89e66a7f88226725edfd065a15fa80ffc63fedd3cabbadc546afe459ee1ae58d":["two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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by the frozen host; revise its task specification; two_pole: recipe override 'num_classes' is owned by the frozen host; revise its task specification; two_pole: recipe override 'num_particles' is owned by the frozen host; revise its task specification; two_pole: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; two_pole: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; two_pole: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; two_pole: recipe override 'total_steps' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; two_pole: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; two_pole: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"93a202c0a0a62594e1fe17f47ae20ec64d86a0a1a114dc0b86eff5edc4d1fb5d":["vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"95643ed047dbe99ff3505b6abcf0e36bf201480f3151e33ddb1f81ebc2457947":["vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_unequal_mass: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"96eb80f93a1b990694a11b74a370d834940f775552082d84ee1d01dd69b82b05":["ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'batch_size' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'conditioning' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'model' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_classes' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'num_particles' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'total_steps' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; ae_gan_hold: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"9721e47f6d5544ec64471210d4222a9a18d1cff699c9f371d6b0e08be6f4da73":["ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"97ecd42c537bfd0bedc7d7d2e7159d9b44407423c076e15b0aa09694718a97ed":["unused_token_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"98c68c0f4d39c339df7b202a66ea85f6be681ba00f411df9020d834084c5a548":["trajectory: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"9b01470baa692981a922523df40a5c4987e51151c327ee1c583686d2f06c2cd7":["missing capability live_sampling; missing capability mog_prior; ring_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"9b587073b58f83c9cdf6355c99db1b2def7a10a1a5b6b5f4ea75225f0daa3963":["mid_scale_identity: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'batch_size' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'conditioning' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'model' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_classes' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'num_particles' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'total_steps' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; mid_scale_identity: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"9c3d512ae49352e467d73ba92619052910f3202a192d3bf70e25ed368de851c9":["missing capability live_sampling; missing capability mog_prior; rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"a1ed7a8fcf9504cc65b9cbbeba62a31c54632a7ff77af397034383c42e583c26":["no compatible result"],"a2941bcc4cdfa5855753bab05ca758b92015eefb86b9bc7bef8f88ea6d6f0f01":["img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"a313146d5fd402a29b14dad9e3e76334a8ac922af53810939be167734ac27d83":["unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification; unipolar: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; unipolar: recipe override 'batch_size' is owned by the frozen host; revise its task specification; unipolar: recipe override 'conditioning' is owned by the frozen host; revise its task specification; unipolar: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; unipolar: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; unipolar: recipe override 'model' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_classes' is owned by the frozen host; revise its task specification; unipolar: recipe override 'num_particles' is owned by the frozen host; revise its task specification; unipolar: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; unipolar: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; unipolar: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; unipolar: recipe override 'total_steps' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; unipolar: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; unipolar: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"ac6e3c639e41902ea72329fca12201da1f614592bde22eee1a87045789b71933":["vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"aceab877126bc345111d1127224300bf84bb7f100adb6c9ea482be38247c3858":["missing capability live_sampling; missing capability mog_prior; vector_spiral: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b295d5b30af5f4ac345107b02257a4a5fcc22ca3953331ee7db77c42ebeaa760":["candidate overrides frozen host resource num_particles; declare a different task; candidate overrides frozen host resource total_steps; declare a different task; candidate overrides frozen host resource z_dim; declare a different task"],"b2c5ccccf97584a0610ef0f4178ab72e914e201eb85e5f3eeab654fa2be19759":["vector_overlap: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; vector_overlap: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b76d0e0642ef17f78e0c384104fc6ec3c16b1b1a70875de76b23ccb2faae92f4":["mode_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; mode_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"b83a5075c9f5584242838a5c55aa08e2bd989eea3e4e7d526ed61cb5700b0ee8":["ae_gan_hold: recipe override 'prior_reg' is owned by the frozen host; revise its task specification"],"bd29bc9feaa25fd62eac0b395418065a4b9f58ccbd0b94fcbb704106d566cf0a":["trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"bf2abeea7c7f263c257bce87ff5ade096714c798d0e6ae5120b59a6edc3cc8ee":["five_word_joint_hold: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c0b1dc35fb3bc568a1fbf1b3b6b665643db82f1232e83e77b4152f7148cb9f74":["trajectory: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c10c081d788c76989c9c7371aefca30f9577bbce01f5ec16cba8e3655ebda212":["recomputed every extension observation without selecting another window"],"c12111415549f6ed0418cbc5efa2cd8c059214fcebd6e00266fdf9a819d1f667":["encoder did not perform an intended optimizer update"],"c269df22fe2a71493007542b9721b8855bfd4aea2e60fee7f234882fe49df78f":["unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; unused_token_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c4127c72e2ca43185442296f17be3c641e4c8f19f607187ca464d122bcee3cec":["missing capability live_sampling; missing capability mog_prior; ae_gan_hold: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"c98d17881bc0d74ed1b3748f4116ef5edf447ee736231a76e2c83456edc84b37":["misgan_block_recovery: unsupported vector target declaration"],"cc230c0668b687620dd92d2a9aaba920f31a1ff3e603daab2907131756108c44":["cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; cover_leftover: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"cce12ff0c93870cf05bdbde22d11e154b87b99ab361d85cd7fb70dcae1e0c9d5":["five_word_joint_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"cd69bbe157de011909f83427c96d694e2c31b34aaef69b3d95b1249ff858154e":["cover_leftover: recipe override 'alpha_bar' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'batch_size' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'conditioning' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'distance_reduction' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'encoder_mode' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'model' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_classes' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_particles' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'total_steps' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"ce15de8d698b148054c175e75657fbaaf00523681642801c4d07f0afd58a90fe":["declared state/horizon/cadence/restart comparisons agree; source audit bound"],"d038652b7052306bc3c4f9ab496f4b3c94a016bf3d80171fb8eebc61d5c7caed":["native model variants require an explicit profile; grid100_mlp16: native model variants require an explicit profile"],"d33da45857a67b1f4b6a62a1b949c73ec6e07414f5d99255fa635028871cc388":["missing capability live_sampling; two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"d533ccd4f997bf3aeee7084f6a23e90866a7b634ef210c9fecc6e3f69cf148ef":["any scheduled full pass with independent same-state confirmation"],"d6ea972f3f010d66f209157bec9955ee86ae3c5828c42a85a91d81e3fe3e9846":["two_pole: public components has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"d89a35bbce5dd67ae82427030fa702e770a3124bff20ed0a628a9d4ed28423da":["recomputed complete live curve and terminal suffix"],"dc794520a909d9b0613503418f0a4d8fd74cd0901a3eccbc9408a304d54f830d":["rotated100: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"df22780e81ad625b634114f722ed22ebcb21451a7f218aba26275e114d0d7dd0":["missing capability live_sampling; img_blobs4: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before 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cover_leftover: recipe override 'model' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_classes' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'num_particles' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'observation_sigma' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'prior_reg' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'reconstruction_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'routing_temperature' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'total_steps' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_target' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'ucd_weight' is owned by the frozen host; revise its task specification; cover_leftover: recipe override 'z_dim' is owned by the frozen host; revise its task specification"],"edc65ccda4cff946f1ffcb06c0087e9109416b36f09dd6a722bf2cd43a6ae0c1":["gaussian1d_acquisition: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"f01f37008b4042b30a07a42f8e5f9a2422bebfdddd0ec10f136c4551f5793795":["ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation; ring_extension: clean/live scoring has no declared policy-control evidence and served-sampling contract; freeze a policy-aware task before reservation"],"f31accb31fd82181ee407e282ccc685103c0eee8c5ad4bbe060de02f3e144676":["zero_tanh_rail_escape: zero_tanh_rail_escape: unsupported tanh host zero_tanh_rail_escape; only zero_tanh_smoke is 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No gate, qualification or outcome-based reselection follows.","reporting_family":"bcap-pure","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","historical-cohort","optimizer-interventions"]},{"candidates":["bcap-tier1-stability-projection-v1"],"canonical_candidate":"bcap-tier1-stability-projection-v1","id":"bcap-tier1-stability-projection-v1","label":"BCAP historical configuration: tier1 stability projection","rationale":"Editorial registration of the existing source-bound research card. Original family and candidate identities remain exact. This configuration is an archived alternative; the explicitly pinned BCAP configuration remains the current benchmark. No gate, qualification or outcome-based reselection follows.","reporting_family":"bcap-pure","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","historical-cohort","optimizer-interventions"]},{"candidates":["bcap-tier1-stability-repairs-cap-margin-v1"],"canonical_candidate":"bcap-tier1-stability-repairs-cap-margin-v1","id":"bcap-tier1-stability-repairs-cap-margin-v1","label":"BCAP historical configuration: tier1 stability repairs cap margin","rationale":"Editorial registration of the existing source-bound research card. Original family and candidate identities remain exact. This configuration is an archived alternative; the explicitly pinned BCAP configuration remains the current benchmark. No gate, qualification or outcome-based reselection follows.","reporting_family":"bcap-pure","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","historical-cohort","optimizer-interventions"]},{"candidates":["bcap-tier1-stability-repairs-finite-cap-v1"],"canonical_candidate":"bcap-tier1-stability-repairs-finite-cap-v1","id":"bcap-tier1-stability-repairs-finite-cap-v1","label":"BCAP historical configuration: tier1 stability repairs finite cap","rationale":"Editorial registration of the existing source-bound research card. Original family and candidate identities remain exact. This configuration is an archived alternative; the explicitly pinned BCAP configuration remains the current benchmark. No gate, qualification or outcome-based reselection follows.","reporting_family":"bcap-pure","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","historical-cohort","optimizer-interventions"]},{"candidates":["bcap-tier1-stability-transport-v1"],"canonical_candidate":"bcap-tier1-stability-transport-v1","id":"bcap-tier1-stability-transport-v1","label":"BCAP historical configuration: tier1 stability transport","rationale":"Editorial registration of the existing source-bound research card. Original family and candidate identities remain exact. This configuration is an archived alternative; the explicitly pinned BCAP configuration remains the current benchmark. No gate, qualification or outcome-based reselection follows.","reporting_family":"bcap-pure","tags":["adversarial-training","capped-input-gradients","critic-gradient-penalty","historical-cohort","optimizer-interventions"]},{"candidates":["bispf-v1","bispf-v2"],"canonical_candidate":"bispf-v2","id":"bispf","label":"BISPF","rationale":"Born-Infeld Sinkhorn Particle Flow: Elastic Born-Infeld transport-chord critic penalty with zero-mean logit gauge, degree-of-freedom-aware SBNP prior regularizer, and scale-free Harmonic Mode Capture thermal cooling under constant learning rates.","tags":["adversarial-training","capped-input-gradients","constant-learning-rate","critic-gradient-penalty","optimizer-interventions","selectable-loss"]}],"historical_families":[{"active_search_by_backend":{"cuda":"release07-gan-v3-mog-tier1-refresh-v1"},"candidates":["release07-gan-v3-task-adapted-v1","release07-gan-v3-mog-v1"],"canonical_candidate":"release07-gan-v3-task-adapted-v1","id":"release07-gan-v3-mog","label":"GAN v3 release 0.7 (MoG)","rationale":"The explicit task adaptation is the runnable MoG configuration. 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diff --git a/reports/forge/technique-inventory.md b/reports/forge/technique-inventory.md index 6a7ae54cb..44dfb43c7 100644 --- a/reports/forge/technique-inventory.md +++ b/reports/forge/technique-inventory.md @@ -4,22 +4,24 @@ A **family** can have several **recipes**. Each score belongs to one exact recip Click a count for its gates, measurements and evidence. Required lower tiers must pass before advancing. +Counts describe screening and selection evidence. Scientific superiority or public-default adoption requires report-bound accepted calibration and independently frozen confirmation evidence. Software repairs grant neither; unmeasured confirmation remains unmeasured. Tuning effort and task holdout disclosures accompany the full-suite comparison below. + ## Selected recipes -Recorded formulaic scores retain each recipe's original source and task bindings in [the coverage receipts](attempt-coverage.json). They are an archived display projection, not current-source qualification; current-source evidence gaps remain separate. +Passes / required-view instances for one selected recipe per family. Shared tests count once in every view that requires them: **115 means 115 counted view requirements, including repeated tests**, from 36 distinct tests. 12 stretch and 48 held and 4 removed view assignments (12 stretch tests and 13 held tests and 1 removed test) are still measured and listed under **Held and removed tests** below. These totals project recorded task outcomes onto the current requirements; historical qualifications keep their original policy revisions. Held failures remain visible in the full-suite results below; separate diagnostic runs appear below. -Passes / required-view instances for one selected recipe per family. Shared tests count once in every view that requires them: **115 means 115 counted view requirements, including repeated tests**, from 36 distinct tests. 12 stretch and 48 held and 4 removed view assignments (12 stretch tests and 13 held tests and 1 removed test) are still measured and listed under **Held and removed tests** below. These totals project recorded task outcomes onto the current requirements; historical qualifications keep their original policy revisions. Every selected recipe is evaluated formulaically across Tier 1, Tier 2, Tier 3, and Tier 4 as binary PASS or FAIL (reporting both counted view-requirement passes and distinct-test passes/failures, with no third option: any constructor refusal, preflight blocker, dependency block, or non-passing outcome counts as FAIL). Held failures remain visible in the full-suite results below; separate diagnostic runs appear below. +**Scientific scope corrections (2026-11-08):** assisted or recipe-adapted coverage remains archived diagnostic evidence under its exact original identity. It does not replace an ordinary selected-cohort grade. Constructor refusals, blocked dependencies, execution errors and missing measurements retain their recorded status and earn no pass credit. [Source-bound correction registry](evidence-corrections-2026-11-08.json). | Family / selected recipe | Tier 1 requirements | Tier 2 requirements | Tier 3 requirements | Tier 4 requirements | Total view requirements | | --- | ---: | ---: | ---: | ---: | ---: | -| **[BCAP](families/bcap-pure.md)** · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md) | **[22/27](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1)** · 7/12 tests (5 fail) | **[49/78](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-2)** · 9/18 tests (9 fail) | **[1/10](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-3)** · 1/6 tests (5 fail) | **[0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[72/115](families/bcap-pure.md#cohort-cuda-1bf9d7d34422)** · 17/36 tests (19 fail) | -| **[BISPF](families/bispf.md)** | **[23/27](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1)** · 8/12 tests (4 fail) | **[55/78](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2)** · 10/18 tests (8 fail) | **[5/10](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3)** · 2/6 tests (4 fail) | **[0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[83/115](families/bispf.md#cohort-cuda-1bf9d7d34422)** · 20/36 tests (16 fail) | -| **[Atlas](families/atlas.md)** | **[18/27](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1)** · 8/12 tests (4 fail) | **[48/78](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-2)** · 8/18 tests (10 fail) | **[1/10](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-3)** · 1/6 tests (5 fail) | **[0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-4)** | **[67/115](families/atlas.md#cohort-cuda-bc3debd3fa5e)** · 17/36 tests (19 fail) | -| **[E22](families/e22.md)** | **[17/27](families/e22.md#cohort-cuda-1bf9d7d34422-tier-1)** · 7/12 tests (5 fail) | **[42/78](families/e22.md#cohort-cuda-1bf9d7d34422-tier-2)** · 7/18 tests (11 fail) | **[0/10](families/e22.md#cohort-cuda-1bf9d7d34422-tier-3)** · 0/6 tests (6 fail) | **[0/0](families/e22.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[59/115](families/e22.md#cohort-cuda-1bf9d7d34422)** · 14/36 tests (22 fail) | -| **[GAN v3 release 0.7](families/release07-gan-v3.md)** | **[25/27](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-1)** · 10/12 tests (2 fail) | **[42/78](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-2)** · 7/18 tests (11 fail) | **[0/10](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-3)** · 0/6 tests (6 fail) | **[0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[67/115](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422)** · 17/36 tests (19 fail) | -| **[K3P](families/k3p.md)** | **[24/27](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-1)** · 9/12 tests (3 fail) | **[49/78](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-2)** · 9/18 tests (9 fail) | **[0/10](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-3)** · 0/6 tests (6 fail) | **[0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[73/115](families/k3p.md#cohort-cuda-1bf9d7d34422)** · 18/36 tests (18 fail) | -| **[KA2](families/ka2.md)** | **[24/27](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-1)** · 9/12 tests (3 fail) | **[49/78](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-2)** · 9/18 tests (9 fail) | **[0/10](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-3)** · 0/6 tests (6 fail) | **[0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[73/115](families/ka2.md#cohort-cuda-1bf9d7d34422)** · 18/36 tests (18 fail) | -| **[R1/R2](families/r1r2.md)** | **[25/27](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-1)** · 10/12 tests (2 fail) | **[30/78](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-2)** · 5/18 tests (13 fail) | **[0/10](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-3)** · 0/6 tests (6 fail) | **[0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[55/115](families/r1r2.md#cohort-cuda-1bf9d7d34422)** · 15/36 tests (21 fail) | +| **[BCAP](families/bcap-pure.md)** · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md)
Recorded source measurement · **stale**; no current qualification | **[22/27 (4 not run, 1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[49/78 (4 not run)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[71/115 (11 not run, 8 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422)** | +| **[BISPF](families/bispf.md)**
Recorded source measurement · **stale**; no current qualification | **[22/27 (4 not run, 1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[55/78 (4 not run)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[4/10 (3 not run, 3 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[81/115 (11 not run, 4 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422)** | +| **[Atlas](families/atlas.md)** | **[18/27](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1)** | **[0/78 (76 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-3)** | **[0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-4)** | **[18/115 (3 not run, 83 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e)** | +| **[E22](families/e22.md)** | **[0/27 (4 not run, 23 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[0/78 (4 not run, 74 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 incompatible, 7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/e22.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[0/115 (8 not run, 3 incompatible, 104 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422)** | +| **[GAN v3 release 0.7](families/release07-gan-v3.md)**
Recorded source measurement · **stale**; no current qualification | **[20/27 (4 not run, 1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[0/78 (4 not run, 74 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[20/115 (11 not run, 82 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422)** | +| **[K3P](families/k3p.md)**
Recorded source measurement · **stale**; no current qualification | **[20/27 (4 not run, 1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[0/78 (4 not run, 74 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[20/115 (11 not run, 82 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422)** | +| **[KA2](families/ka2.md)**
Recorded source measurement · **stale**; no current qualification | **[20/27 (4 not run, 1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[0/78 (4 not run, 74 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[20/115 (11 not run, 82 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422)** | +| **[R1/R2](families/r1r2.md)**
Recorded source measurement · **stale**; no current qualification | **[20/27 (4 not run, 1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-1)** | **[0/78 (4 not run, 74 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-2)** | **[0/10 (3 not run, 7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-3)** | **[0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-4)** | **[20/115 (11 not run, 82 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422)** | **BISPF:** comparison policy revision 9, tier 1; actual executed-policy qualification **tier 3**, revision 11 (PASS). These are separate policy results; no qualification reuse. @@ -37,14 +39,14 @@ Backfill coverage: **1047/1047 distinct recipe/test pairs attempted (selected an | Family / selected recipe | PASS | FAIL | Not measured | Other outcomes | Held or not counted (of these) | Total tests | Tuning budget and selection | | --- | ---: | ---: | ---: | --- | --- | ---: | --- | -| [BCAP](families/bcap-pure.md) · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md) | 26 | **33** | 2 | 0 | 25: 9 PASS, 14 FAIL, 2 not measured | 61 | 85 registered searches (175 grid configurations); 473 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | -| [BISPF](families/bispf.md) | 29 | **30** | 2 | 0 | 25: 9 PASS, 14 FAIL, 2 not measured | 61 | no registered configuration search; 11 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | -| [Atlas](families/atlas.md) | 31 | **28** | 2 | 0 | 25: 14 PASS, 9 FAIL, 2 not measured | 61 | no registered configuration search; 5 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | -| [E22](families/e22.md) | 26 | **33** | 2 | 0 | 25: 12 PASS, 11 FAIL, 2 not measured | 61 | untuned: no registered configuration search; 1 declared candidate card; selected recipe declared directly (no selecting search in its lineage) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | 29 | **30** | 2 | 0 | 25: 12 PASS, 11 FAIL, 2 not measured | 61 | 10 registered searches (16 grid configurations); 8 declared candidate cards; selected recipe descends from `release07-gan-v3-mog-family-defaults-round1-v1` (tuned on Tier ≤3) | -| [K3P](families/k3p.md) | 30 | **29** | 2 | 0 | 25: 12 PASS, 11 FAIL, 2 not measured | 61 | 15 registered searches (50 grid configurations); 46 declared candidate cards; selected recipe descends from `k3p-family-defaults-round1-v1` (tuned on Tier ≤3) | -| [KA2](families/ka2.md) | 28 | **31** | 2 | 0 | 25: 10 PASS, 13 FAIL, 2 not measured | 61 | 11 registered searches (18 grid configurations); 9 declared candidate cards; selected recipe descends from `ka2-family-defaults-round1-v1` (tuned on Tier ≤3) | -| [R1/R2](families/r1r2.md) | 27 | **32** | 2 | 0 | 25: 12 PASS, 11 FAIL, 2 not measured | 61 | 12 registered searches (34 grid configurations); 18 declared candidate cards; selected recipe descends from `r1r2-modern-family-round1-v1` (tuned on Tier ≤3) | +| [BCAP](families/bcap-pure.md) · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md) | 16 | **12** | 33 | 0 | 25: 0 PASS, 7 FAIL, 18 not measured | 61 | 85 registered searches (175 grid configurations); 473 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | +| [BISPF](families/bispf.md) | 18 | **11** | 32 | 0 | 25: 0 PASS, 7 FAIL, 18 not measured | 61 | no registered configuration search; 19 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | +| [Atlas](families/atlas.md) | 8 | **6** | 41 | 6 blocked | 25: 0 PASS, 0 FAIL, 19 not measured, 6 other | 61 | no registered configuration search; 5 declared candidate cards; selected recipe declared directly (no selecting search in its lineage) | +| [E22](families/e22.md) | 0 | **0** | 32 | 29 blocked | 25: 0 PASS, 0 FAIL, 18 not measured, 7 other | 61 | untuned: no registered configuration search; 1 declared candidate card; selected recipe declared directly (no selecting search in its lineage) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | 5 | **2** | 54 | 0 | 25: 0 PASS, 0 FAIL, 25 not measured | 61 | 10 registered searches (16 grid configurations); 8 declared candidate cards; selected recipe descends from `release07-gan-v3-mog-family-defaults-round1-v1` (tuned on Tier ≤3) | +| [K3P](families/k3p.md) | 5 | **2** | 54 | 0 | 25: 0 PASS, 0 FAIL, 25 not measured | 61 | 15 registered searches (50 grid configurations); 46 declared candidate cards; selected recipe descends from `k3p-family-defaults-round1-v1` (tuned on Tier ≤3) | +| [KA2](families/ka2.md) | 5 | **2** | 54 | 0 | 25: 0 PASS, 0 FAIL, 25 not measured | 61 | 11 registered searches (18 grid configurations); 9 declared candidate cards; selected recipe descends from `ka2-family-defaults-round1-v1` (tuned on Tier ≤3) | +| [R1/R2](families/r1r2.md) | 5 | **2** | 54 | 0 | 25: 0 PASS, 0 FAIL, 25 not measured | 61 | 12 registered searches (34 grid configurations); 21 declared candidate cards; selected recipe descends from `r1r2-modern-family-round1-v1` (tuned on Tier ≤3) | Not measured and other outcomes are not scientific failures and earn no pass credit. Separate diagnostic and historical passes remain on the problem and family pages; they do not replace a selected recipe's result. Tuning budgets count the family's registered configuration searches (declared grid sizes) and every declared candidate card (ideas and configurations, including hand-declared variants); a family with no search and a single card is labelled untuned. Rows with different budgets are not equally tuned comparisons. @@ -61,20 +63,20 @@ Stretch experiments (extra-credit, optional, frontier, and held benchmark tasks) | Family / selected recipe | Tier 1 stretch | Tier 2 stretch | Tier 3 stretch | Tier 4 stretch | Total stretch | | --- | ---: | ---: | ---: | ---: | ---: | -| [BCAP](families/bcap-pure.md) · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md) | [0/2 (2 not run)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-3) | [9/15](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-4) | [9/60 (2 not run)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BISPF](families/bispf.md) | [0/2 (2 not run)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3) | [9/15](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-4) | [9/60 (2 not run)](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [Atlas](families/atlas.md) | [0/2 (2 not run)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1) | [30/42](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-2) | [0/1](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-3) | [9/15](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-4) | [39/60 (2 not run)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [E22](families/e22.md) | [0/2 (2 not run)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-1) | [12/42](families/e22.md#cohort-cuda-1bf9d7d34422-tier-2) | [1/1](families/e22.md#cohort-cuda-1bf9d7d34422-tier-3) | [9/15](families/e22.md#cohort-cuda-1bf9d7d34422-tier-4) | [22/60 (2 not run)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | [0/2 (2 not run)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-1) | [12/42](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-3) | [10/15](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-4) | [22/60 (2 not run)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | [0/2 (2 not run)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-1) | [12/42](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-2) | [1/1](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-3) | [9/15](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-4) | [22/60 (2 not run)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | [0/2 (2 not run)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-1) | [6/42](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-3) | [9/15](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-4) | [15/60 (2 not run)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | [0/2 (2 not run)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-1) | [24/42](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-3) | [8/15](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-4) | [32/60 (2 not run)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) · [BCAP dualnorm (experimental starting point)](families/bcap-dualnorm.md) | [0/2 (2 not run)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 14 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BISPF](families/bispf.md) | [0/2 (2 not run)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 14 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [Atlas](families/atlas.md) | [0/2 (2 not run)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1) | [0/42 (42 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-2) | [0/1 (1 diagnostic attempt)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-3) | [0/15 (15 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-4) | [0/60 (2 not run, 58 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [E22](families/e22.md) | [0/2 (2 not run)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42 (42 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 56 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | [0/2 (2 not run)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42 (42 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 56 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | [0/2 (2 not run)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42 (42 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 56 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | [0/2 (2 not run)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42 (42 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 56 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | [0/2 (2 not run)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-1) | [0/42 (42 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-2) | [0/1 (1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-3) | [0/15 (2 not run, 13 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-4) | [0/60 (4 not run, 56 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | ## Held and removed tests A **held** test is still declared, run and shown with its history. It is excluded from the qualification totals above, but included in the full-suite results. It counts toward qualification again once its re-entry rule is met. A test **removed from the count** stays in its views as a diagnostic, because another counted test already carries its question or it cannot run as declared. Rows come from the notes stored in the view declarations; each details link opens that test's explanation. -Selected recipes' recorded results pass 120 of the held or removed view requirements; those passes stay visible here and on the family pages but no longer count. +Selected recipes' recorded results pass 4 of the held or removed view requirements; those passes stay visible here and on the family pages but no longer count. Separate diagnostic runs of 6 selected recipes pass some of these tests (named in the table); a diagnostic run never becomes a recorded result, so those passes count nowhere. While grid100_mlp16, grid100_res16_tanh, misgan_block_neural_imputer, misgan_block_recovery, ring16_bigan_continuous are held, the highest tier of discriminator_stability, Tier 4, has only held tests, so the view never shows PASS: a recipe that passes every counted tier gets HELD, and a counted failure still shows as a failure. @@ -82,29 +84,29 @@ While grid100_mlp16, grid100_res16_tanh, misgan_block_neural_imputer, misgan_blo | --- | --- | --- | --- | --- | ---: | --- | | `precision_gaussian_mxfp8` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 1) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format MXFP8 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | 0 of 8 | [explanation](precision-stretch/README.md#precision-stretch) | | `precision_gaussian_nvfp4` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 1) | Can one unchanged family recipe learn the scalar Gaussian with Blackwell-format NVFP4 software-reference training arithmetic? | Consider counted status only after native parity, independent calibration and a global recipe that retains every counted pass. | 0 of 8 | [explanation](precision-stretch/README.md#precision-stretch) | -| `img_bars4` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 2 of 8 | [explanation](test-dispositions-20261015/README.md#img_bars4) | -| `img_blobs4` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 1 of 8 | [explanation](test-dispositions-20261015/README.md#img_blobs4) | -| `img_intensity2` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 3 of 8 | [explanation](test-dispositions-20261015/README.md#img_intensity2) | -| `vector_anisotropic` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | 5 of 8 | [explanation](test-dispositions-20261015/README.md#vector_anisotropic) | -| `vector_overlap` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | 3 of 8 | [explanation](test-dispositions-20261015/README.md#vector_overlap) | -| `vector_unequal_mass` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | 1 of 8 | [explanation](test-dispositions-20261015/README.md#vector_unequal_mass) | -| `vector_unequal_width` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | 1 of 8 | [explanation](test-dispositions-20261015/README.md#vector_unequal_width) | -| `zero_tanh_rail_escape` | held: no recipe has passed its current declaration | discriminator_stability (Tier 3) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | 2 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `alice_spiral_bigan` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | 6 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `cgan_overlapping_classes` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | 4 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `cramer_energy_overlap` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `cyclegan_unpaired_constellation` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | 3 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `img_bars4` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Four bar pictures: BCAP and BISPF draw clean bars but only 2 of the 4. R1/R2 and GAN v3 pass it but fail Tier 1 tests and img_stripes2; under the current declarations no recipe passes both bars4 and stripes2. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 0 of 8; separate diagnostic runs only: GAN v3 release 0.7, R1/R2 | [explanation](test-dispositions-20261015/README.md#img_bars4) | +| `img_blobs4` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Four corner-blob pictures: BCAP covers 2 corners (24/32 clean), BISPF 3 (28/32); the test needs all 4 corners and 29/32 clean. Every recipe passing its current declaration fails or cannot run Tier 1 tests. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 0 of 8; separate diagnostic runs only: R1/R2 | [explanation](test-dispositions-20261015/README.md#img_blobs4) | +| `img_intensity2` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Two brightness levels: BCAP draws both but 10 of 32 pictures are off in brightness; BISPF collapses to one level. The three recipes passing its current declaration fail Tier 1 tests that BCAP and BISPF pass. | Count again when one global recipe has an ordinary PASS on this unchanged declaration and, with the same configuration, still passes img_stripes2 and every other counted Tier 1 and Tier 2 test. | 0 of 8; separate diagnostic runs only: Atlas, GAN v3 release 0.7, R1/R2 | [explanation](test-dispositions-20261015/README.md#img_intensity2) | +| `vector_anisotropic` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Three stretched, tilted blobs: BCAP and BISPF draw the shapes but the wrong amounts (mass TV 0.196 and 0.191; limit 0.15). Of the 16 recipes passing its current declaration, 12 fail Tier 1 ring16_acquisition, 1 timed out on it and 3 fail mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | 0 of 8; separate diagnostic runs only: Atlas, E22, K3P, KA2, R1/R2 | [explanation](test-dispositions-20261015/README.md#vector_anisotropic) | +| `vector_overlap` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | One broad cloud made of two overlapping blobs: BCAP and BISPF reach it early, then drift (centre error 0.39 and 0.28; limit 0.15). All 15 recipes passing its current declaration fail Tier 1 ring16_acquisition or mode_hold. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. | 0 of 8; separate diagnostic runs only: Atlas, E22, K3P | [explanation](test-dispositions-20261015/README.md#vector_overlap) | +| `vector_unequal_mass` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | The rare 2% blob loses its share or collapses (BCAP eigen ratio 0.009, BISPF 0.004; need 0.15). Perfect samples pass 200/200 runs. Its passers fail counted tests, except some round-5 research recipes that fail only held tests and never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_width, so the two will likely return together. | 0 of 8; separate diagnostic runs only: Atlas | [explanation](test-dispositions-20261015/README.md#vector_unequal_mass) | +| `vector_unequal_width` | held: no one recipe passes it together with the counted tests | all 6 views (Tier 2) | Equal shares, very different widths: BCAP and BISPF get the shares wrong (mass TV 0.29 and 0.25; limit 0.15). Perfect samples pass 200/200 runs. Cell-moment passers fail counted tests; round-5 balanced assignment fails only held tests but never ran most of the counted suite. | Count again when one global recipe (one recipe hash and source, seed 0, the public initializer and one runtime) passes this test under its unchanged declaration and also passes every counted Tier 1 and Tier 2 test, including ring16_acquisition and mode_hold. Round 5 shows it trades off against vector_unequal_mass, so the two will likely return together. | 0 of 8; separate diagnostic runs only: Atlas | [explanation](test-dispositions-20261015/README.md#vector_unequal_width) | +| `zero_tanh_rail_escape` | held: no recipe has passed its current declaration | discriminator_stability (Tier 3) | Dynamic target shift (+0.90, -0.90) -> (0.0, 0.0) rail escape with 400-update deadline held pending passing recipe. | Count again when one global recipe passes zero_tanh_rail_escape under its unchanged declaration and satisfies all Tier 1-3 requirements. | 0 of 8; separate diagnostic runs only: K3P | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `alice_spiral_bigan` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | ALICE cycle-consistent BiGAN (G, E, D_xz) on a 1D curved spiral manifold in 2D testing cycle reconstruction. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `cgan_overlapping_classes` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Mirza-Osindero concat vs Miyato-Koyama projection cGAN on 4 overlapping annular rings testing class separability. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `cramer_energy_overlap` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Bellemare CramerGAN 16D critic embedding with surrogate energy potential on a tight 25-mode 5x5 Gaussian grid. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `cyclegan_unpaired_constellation` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Unpaired CycleGAN/DiscoGAN dual generators and cycle-consistency on rotated and scaled 8-mode constellations. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | | `grid100_mlp16` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 16-hidden-layer 128-wide LeakyReLU MLP generator on grid100 target held pending passing recipe across all 100 modes. | Count again when one global recipe passes grid100_mlp16 under its unchanged declaration and satisfies all counted requirements. | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `grid100_res16_scaled_tanh` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `grid100_res16_scaled_tanh` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Paired 16-layer ScaledResidualMLPGenerator + TanhRailGuard on the 10x10 100-mode Gaussian grid isolating residual depth transport from unscaled initialization explosion. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | | `grid100_res16_tanh` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 16-layer residual MLP with S=5.25 bounded tanh head on grid100 target held pending non-saturating passing recipe. | Count again when one global recipe passes grid100_res16_tanh under its unchanged declaration without saturation. | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `infogan_anisotropic_modes` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | 1 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `misgan_block_neural_imputer` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `misgan_block_recovery` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `misgan_mcar_p50_recovery` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `misgan_mcar_p80_anchored` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `infogan_anisotropic_modes` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | InfoGAN mutual-information auxiliary head Q(c\|x) on 8 anisotropic rotated Gaussian modes testing factor disentanglement. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `misgan_block_neural_imputer` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 3-pair MisGAN neural imputer on ambiguous single-sensor queries held pending passing recipe without ppost fallback. | Count again when one global recipe passes misgan_block_neural_imputer under its unchanged declaration. | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `misgan_block_recovery` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | 2-pair incomplete-data MisGAN on 8D block problem held pending passing recipe for manifold recovery and ppost imputation. | Count again when one global recipe passes misgan_block_recovery under its unchanged declaration. | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `misgan_mcar_p50_recovery` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Independent coordinatewise MCAR p=0.50 MisGAN on the 8-mode 8D block manifold with data/mask generator pair. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `misgan_mcar_p80_anchored` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | Extreme MCAR p=0.80 MisGAN on the 8-mode 8D block manifold with a 10% fully observed anchor subset. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | | `pacgan8_grid100` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | PacGAN-8 packed critic on the 10x10 100-mode 2D Gaussian grid testing 100/100 mode coverage. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `pacgan_unequal_mass` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | 8 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | -| `ring16_bigan_continuous` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | 2 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `pacgan_unequal_mass` | stretch: frontier stretch benchmark beyond the required suite | discriminator_stability (Tier 4) | PacGAN-4 packed critic on an unequal-mass 8-mode ring with 20:1 weight ratio between heavy and light modes. | — | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | +| `ring16_bigan_continuous` | held: no recipe has passed its current declaration | discriminator_stability (Tier 4) | Continuous 2D multimodal joint BiGAN (G, E, D) on 16-Gaussian ring held pending passing generation and reconstruction recipe. | Count again when one global recipe passes ring16_bigan_continuous under its unchanged declaration. | 0 of 8 | [explanation](test-dispositions-20261015/README.md#unresolved) | | `ring_hold` | removed: phase of ring_extension (counted there) | clockfree_continuous (Tier 3), discriminator_stability (Tier 3), formulation_comparison (Tier 3), host_profile_transfer (Tier 3) | Same uninterrupted ring run as ring_extension, whose counted verdict already replays this acquisition and 1,200-check hold. Kept as a visible phase and counted once, through ring_extension. | — | 1 of 8 | [explanation](test-dispositions-20261015/README.md#ring_hold) | ## AE, VAE and DDGAN API research @@ -230,7 +232,7 @@ Research recipes use their recorded revision 9 assignments. Those assignments st | [BCAP](families/bcap-pure.md) | [Unchanged selected recipe: deeper diagnostics (Torch 2.13)](actual-missing-diagnostics-20261014/README.md) | — | — | [1/7 (4 diagnostic attempts)](actual-missing-diagnostics-20261014/README.md) | [1/7 (4 diagnostic attempts)](actual-missing-diagnostics-20261014/README.md) | | [BISPF](families/bispf.md) | [BISPF rebuilt checkpoints + matched-prior 14k diagnostics](ATTEMPT_COVERAGE.md#checkpoint-recovery) | — | [0/3](ATTEMPT_COVERAGE.md#checkpoint-recovery) | [0/3](ATTEMPT_COVERAGE.md#checkpoint-recovery) | [0/6](ATTEMPT_COVERAGE.md#checkpoint-recovery) | | [BISPF](families/bispf.md) | [Selected recipe 1-for-1 baseline-35 diagnostics (bispf-optimized-quintic-v1); seed 0](families/bispf.md#cohort-cuda-1bf9d7d34422) | [7/7](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1) | [10/21](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2) | [3/7](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3) | [20/35](families/bispf.md#cohort-cuda-1bf9d7d34422) | -| [BISPF](families/bispf.md) | [Selected recipe declared-suite Tier 1–3 diagnostics (bispf-optimized-quintic-v1); seed 0](families/bispf.md#cohort-cuda-1bf9d7d34422) | [8/14](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1) | [10/25](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2) | [3/8](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3) | [21/47](families/bispf.md#cohort-cuda-1bf9d7d34422) | +| [BISPF](families/bispf.md) | [Selected recipe declared-suite Tier 1–3 diagnostics (bispf-optimized-quintic-v1); seed 0](families/bispf.md#cohort-cuda-1bf9d7d34422) | [7/14](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1) | [10/25](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-2) | [3/8](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-3) | [20/47](families/bispf.md#cohort-cuda-1bf9d7d34422) | | [Atlas](families/atlas.md) | [Selected-cloud policy; seed 0 (separate scope)](atlas-compatible-coverage-20261013/README.md) | [0/7 (4 incompatible)](atlas-compatible-coverage-20261013/README.md) | — | — | [0/7 (4 incompatible)](atlas-compatible-coverage-20261013/README.md) | | [Atlas](families/atlas.md) | [Unchanged public policy: image diagnostics](actual-missing-diagnostics-20261014/README.md) | — | [1/4](actual-missing-diagnostics-20261014/README.md) | — | [1/4](actual-missing-diagnostics-20261014/README.md) | | [Atlas](families/atlas.md) | [Selected-cloud execution after adapter investigation (pre-repair source)](ATTEMPT_COVERAGE.md#remaining-attempts) | [0/7 (3 incompatible, 2 errors, 1 incomplete)](ATTEMPT_COVERAGE.md#remaining-attempts) | — | — | [0/7 (3 incompatible, 2 errors, 1 incomplete)](ATTEMPT_COVERAGE.md#remaining-attempts) | @@ -282,60 +284,60 @@ Each view uses the selected recipe above. View scores are the requirements summe | Family / selected recipe | View | Tier 1 | Tier 2 | Tier 3 | Tier 4 | Total view requirements | Held (measured, not counted) | | --- | --- | ---: | ---: | ---: | ---: | ---: | ---: | -| [BCAP](families/bcap-pure.md) | ↳ [adaptation](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BCAP](families/bcap-pure.md) | ↳ [clockfree_continuous](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [1/6](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [13/22](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BCAP](families/bcap-pure.md) | ↳ [discriminator_stability](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/25](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BCAP](families/bcap-pure.md) | ↳ [formulation_comparison](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BCAP](families/bcap-pure.md) | ↳ [host_profile_transfer](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) | ↳ [adaptation](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) | ↳ [clockfree_continuous](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [12/22 (3 not run, 3 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) | ↳ [discriminator_stability](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11 (4 not run, 1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18 (4 not run)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30 (8 not run, 2 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 14 diagnostic attempts)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) | ↳ [formulation_comparison](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | +| [BCAP](families/bcap-pure.md) | ↳ [host_profile_transfer](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16 (1 diagnostic attempt)](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | | [BCAP](families/bcap-pure.md) | ↳ [quality_coverage](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-held) | -| [BISPF](families/bispf.md) | ↳ [adaptation](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [12/16](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [BISPF](families/bispf.md) | ↳ [clockfree_continuous](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [2/6](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [15/22](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [BISPF](families/bispf.md) | ↳ [discriminator_stability](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [7/11](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [10/18](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [1/1](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/25](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [BISPF](families/bispf.md) | ↳ [adaptation](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [12/16 (1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [BISPF](families/bispf.md) | ↳ [clockfree_continuous](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/4](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [1/6 (3 not run, 2 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [14/22 (3 not run, 2 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | +| [BISPF](families/bispf.md) | ↳ [discriminator_stability](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [6/11 (4 not run, 1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [10/18 (4 not run)](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [1/1](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [17/30 (8 not run, 1 diagnostic attempt)](families/bispf.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 14 diagnostic attempts)](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | | [BISPF](families/bispf.md) | ↳ [formulation_comparison](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [1/1](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [13/16](families/bispf.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | | [BISPF](families/bispf.md) | ↳ [host_profile_transfer](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [1/1](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [13/16](families/bispf.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | | [BISPF](families/bispf.md) | ↳ [quality_coverage](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [9/12](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [12/15](families/bispf.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7](families/bispf.md#cohort-cuda-1bf9d7d34422-held) | -| [Atlas](families/atlas.md) | ↳ [adaptation](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1) | [8/12](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2) | [0/1](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-4) | [10/16](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [5/7](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [Atlas](families/atlas.md) | ↳ [clockfree_continuous](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [3/4](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1) | [8/12](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2) | [1/6](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-4) | [12/22](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [5/7](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [Atlas](families/atlas.md) | ↳ [discriminator_stability](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [7/11](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | [8/18](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | [0/1](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | [15/30](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [14/25](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [Atlas](families/atlas.md) | ↳ [formulation_comparison](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1) | [8/12](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2) | [0/1](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-4) | [10/16](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [5/7](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [Atlas](families/atlas.md) | ↳ [host_profile_transfer](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1) | [8/12](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2) | [0/1](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-4) | [10/16](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [5/7](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [Atlas](families/atlas.md) | ↳ [quality_coverage](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | [8/12](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-4) | [10/15](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [5/7](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | -| [E22](families/e22.md) | ↳ [adaptation](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/3](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [7/12](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [9/16](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [E22](families/e22.md) | ↳ [clockfree_continuous](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/4](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [7/12](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [9/22](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [E22](families/e22.md) | ↳ [discriminator_stability](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [7/11](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [7/18](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [14/30](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [E22](families/e22.md) | ↳ [formulation_comparison](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/3](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [7/12](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [9/16](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [E22](families/e22.md) | ↳ [host_profile_transfer](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/3](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [7/12](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [9/16](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [E22](families/e22.md) | ↳ [quality_coverage](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/3](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [7/12](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [9/15](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](families/e22.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [adaptation](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [7/12](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [10/16](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [clockfree_continuous](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [7/12](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [10/22](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [discriminator_stability](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/11](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [7/18](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [17/30](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [formulation_comparison](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [7/12](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [10/16](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [host_profile_transfer](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [7/12](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [10/16](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [quality_coverage](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [7/12](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [10/15](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [adaptation](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [2/7](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [clockfree_continuous](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [11/22](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [2/7](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [discriminator_stability](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/11](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [formulation_comparison](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [2/7](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [host_profile_transfer](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [2/7](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [K3P](families/k3p.md) | ↳ [quality_coverage](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [2/7](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [adaptation](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [8/12](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [11/16](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [1/7](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [clockfree_continuous](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [8/12](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [11/22](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [1/7](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [discriminator_stability](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [9/11](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [9/18](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [18/30](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/25](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [formulation_comparison](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [8/12](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [11/16](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [1/7](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [host_profile_transfer](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [8/12](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [11/16](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [1/7](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [KA2](families/ka2.md) | ↳ [quality_coverage](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [8/12](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [11/15](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [1/7](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [adaptation](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [5/12](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [8/16](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [4/7](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [clockfree_continuous](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [5/12](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [8/22](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [4/7](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [discriminator_stability](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [10/11](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [5/18](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [15/30](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [12/25](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [formulation_comparison](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [5/12](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [8/16](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [4/7](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [host_profile_transfer](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [5/12](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [8/16](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [4/7](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | -| [R1/R2](families/r1r2.md) | ↳ [quality_coverage](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [5/12](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [8/15](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [4/7](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [Atlas](families/atlas.md) | ↳ [adaptation](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation-tier-4) | [2/16 (13 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-adaptation) | [0/7 (7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [Atlas](families/atlas.md) | ↳ [clockfree_continuous](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [3/4](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [Atlas](families/atlas.md) | ↳ [discriminator_stability](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [7/11](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-1) | [0/18 (16 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability-tier-4) | [7/30 (17 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-discriminator_stability) | [0/25 (2 not run, 23 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [Atlas](families/atlas.md) | ↳ [formulation_comparison](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison-tier-4) | [2/16 (13 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [Atlas](families/atlas.md) | ↳ [host_profile_transfer](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer-tier-4) | [2/16 (13 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [Atlas](families/atlas.md) | ↳ [quality_coverage](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [2/3](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-2) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-3) | [0/0](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage-tier-4) | [2/15 (12 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-quality_coverage) | [0/7 (7 diagnostic attempts)](families/atlas.md#cohort-cuda-bc3debd3fa5e-held) | +| [E22](families/e22.md) | ↳ [adaptation](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/3 (3 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [0/16 (16 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [E22](families/e22.md) | ↳ [clockfree_continuous](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/4 (4 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 incompatible, 3 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [0/22 (3 incompatible, 19 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [E22](families/e22.md) | ↳ [discriminator_stability](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/11 (4 not run, 7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [0/30 (8 not run, 22 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [E22](families/e22.md) | ↳ [formulation_comparison](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/3 (3 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [0/16 (16 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [E22](families/e22.md) | ↳ [host_profile_transfer](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/3 (3 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [0/16 (16 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [E22](families/e22.md) | ↳ [quality_coverage](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/3 (3 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [0/15 (15 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](families/e22.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [adaptation](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [clockfree_continuous](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [discriminator_stability](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [formulation_comparison](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [host_profile_transfer](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [GAN v3 release 0.7](families/release07-gan-v3.md) | ↳ [quality_coverage](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [adaptation](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [clockfree_continuous](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [discriminator_stability](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [formulation_comparison](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [host_profile_transfer](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [K3P](families/k3p.md) | ↳ [quality_coverage](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](families/k3p.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [adaptation](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [clockfree_continuous](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [discriminator_stability](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [formulation_comparison](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [host_profile_transfer](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [KA2](families/ka2.md) | ↳ [quality_coverage](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](families/ka2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [adaptation](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-1) | [0/12 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-2) | [0/1 (1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation-tier-4) | [3/16 (13 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-adaptation) | [0/7 (7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [clockfree_continuous](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [3/4](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-1) | [0/12 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-2) | [0/6 (3 not run, 3 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous-tier-4) | [3/22 (3 not run, 15 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-clockfree_continuous) | [0/7 (7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [discriminator_stability](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [5/11 (4 not run, 1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-1) | [0/18 (4 not run, 14 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-2) | [0/1 (1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability-tier-4) | [5/30 (8 not run, 16 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-discriminator_stability) | [0/25 (4 not run, 21 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [formulation_comparison](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-1) | [0/12 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-2) | [0/1 (1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison-tier-4) | [3/16 (13 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-formulation_comparison) | [0/7 (7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [host_profile_transfer](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-1) | [0/12 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-2) | [0/1 (1 diagnostic attempt)](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer-tier-4) | [3/16 (13 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-host_profile_transfer) | [0/7 (7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | +| [R1/R2](families/r1r2.md) | ↳ [quality_coverage](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [3/3](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-1) | [0/12 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-2) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-3) | [0/0](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage-tier-4) | [3/15 (12 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-quality_coverage) | [0/7 (7 diagnostic attempts)](families/r1r2.md#cohort-cuda-1bf9d7d34422-held) | ## Reading the results -Counts show passes / required tasks. Selected-recipe tables evaluate every test formulaically as binary PASS or FAIL (with no third option: any constructor refusal, preflight blocker, dependency block, or non-passing outcome counts as FAIL). For historical research rows with run-attempt coverage, the suffix counts genuinely unattempted tasks as not run, constructor refusals as incompatible, missing required artifacts as blocked, and other separate-runtime attempts as diagnostic attempts. Rows without that registry retain their recorded missing/preflight counts. No formulation is changed to fit a test. Recorded PASS and FAIL are both executed results. Attempted ERROR, INVALID or INCOMPLETE results show their cause and execution evidence on the family page and earn no pass credit. Zero recorded passes always displays as 0, including unrun families. +Counts show passes / required tasks; selected-row pass counts remain unchanged. For rows with run-attempt coverage, the suffix counts genuinely unattempted tasks as not run, constructor refusals as incompatible, missing required artifacts as blocked, and other separate-runtime attempts as diagnostic attempts. A start refusal is not a numerical failure. Rows without that registry retain their recorded missing/preflight counts. No formulation is changed to fit a test. Recorded PASS and FAIL are both executed results. Attempted ERROR, INVALID or INCOMPLETE results show their cause and execution evidence on the family page and earn no pass credit. Zero recorded passes always displays as 0, including unrun families. Counts retain each original recipe, prior, initialization, budget, serving law and source. Family pages retain exact metrics, phase checks, failures, blockers, historical comparisons and calibration requirements. Observation checks and catalog attempt counts add no benchmark passes; untiered historical studies remain on those detail pages. @@ -537,5 +539,5 @@ After any view revision (for example a held or removed test), always add `--refr [Experiments, criteria and tier assignments](EXPERIMENTS_BY_TIER.md) · [Complete numerical publication and provenance](technique-inventory.json) -Publication input digest `3e035a9ab5f26132482e155b9f2aa0479668b865a10736f8c23526dba847f555`. +Publication input digest `631d436696a2966c9d99d6b5a19f33108523bb543116f06b31e1b3f33146e220`. [Performance by test and complete recipe](test-performance.md): compatible passes, failures, execution errors and missing witnesses, with sortable evidence drill-down. diff --git a/reports/forge/test-performance.md b/reports/forge/test-performance.md index 55a9eb31a..42fe1a94b 100644 --- a/reports/forge/test-performance.md +++ b/reports/forge/test-performance.md @@ -28,10 +28,10 @@ One row is **one test under one exact protocol**. One column is a complete recip ## Selected-recipe matrix -Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime identities**; below: **322 rows**, **9 selected identities**. PASS counts recipes with any compatible passing receipt; MIXED keeps all disagreeing outcomes. Counts are recipe cells, not independent runs or summed view requirements. +Indexed: **1450 test/protocol rows**, **565 complete recipe/source/runtime identities**; below: **338 rows**, **9 selected identities**. PASS counts recipes with any compatible passing receipt; MIXED keeps all disagreeing outcomes. Counts are recipe cells, not independent runs or summed view requirements.
-Open all 322 selected-protocol rows and their exact recipe identities +Open all 338 selected-protocol rows and their exact recipe identities | Recipe | Full identity | | --- | --- | @@ -49,6 +49,7 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | --- | --- | ---: | --- | --- | --- | --- | --- | --- | --- | --- | --- | --- | | ae_gan_hold
seed 0 · 250 updates · source a5eafc73e4
`27c64bd5c6f3` | [CHANGED](../../configs/forge/tasks/ae_gan_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ae_gan_hold
seed 0 · 250 updates · source cbb19c5e55
`9efb7bbc5c52` | [CHANGED](../../configs/forge/tasks/ae_gan_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| ae_gan_hold
unmeasured declaration
`fa266767c5ed` | [matches](../../configs/forge/tasks/ae_gan_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ae_gan_hold_policy_cloud_coverage_v1
unmeasured declaration
`901f82b1bd9b` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/ae_gan_hold_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ae_gan_hold_tier1_policy_selected_cloud_v1
unmeasured declaration
`ec09f0f6d941` | [matches](../../configs/forge/task-variants/tier1_policy_selected_cloud_v1/ae_gan_hold_tier1_policy_selected_cloud_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | alice_spiral_bigan
unmeasured declaration
`e9f9c60a91de` | [matches](../../configs/forge/tasks/alice_spiral_bigan.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -61,7 +62,8 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | clockfree_audit_tier1_policy_selected_cloud_v1
unmeasured declaration
`15a53fe55b47` | [matches](../../configs/forge/task-variants/tier1_policy_selected_cloud_v1/clockfree_audit_tier1_policy_selected_cloud_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | cover_leftover
seed 0 · 800 updates · source a5eafc73e4
`0cb8b54f9b29` | [CHANGED](../../configs/forge/tasks/cover_leftover.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | cover_leftover
seed 0 · 800 updates · source cbb19c5e55
`5a4728a97296` | [CHANGED](../../configs/forge/tasks/cover_leftover.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| cover_leftover
seed 0 · 800 updates · source 2e8a97a0aa
`c753e7e09191` | [matches](../../configs/forge/tasks/cover_leftover.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| cover_leftover
unmeasured declaration
`74921bbabc7e` | [matches](../../configs/forge/tasks/cover_leftover.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| cover_leftover
seed 0 · 800 updates · source 2e8a97a0aa
`c753e7e09191` | [CHANGED](../../configs/forge/tasks/cover_leftover.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | cover_leftover_policy_cloud_coverage_v1
unmeasured declaration
`0541d5495763` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/cover_leftover_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | cramer_energy_overlap
unmeasured declaration
`2a094f5d37c4` | [matches](../../configs/forge/tasks/cramer_energy_overlap.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | cyclegan_unpaired_constellation
unmeasured declaration
`bc46aa7f467d` | [matches](../../configs/forge/tasks/cyclegan_unpaired_constellation.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -72,17 +74,20 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | dcgan_performance_r32
unmeasured declaration
`aacadd3ad0bd` | [matches](../../configs/forge/tasks/dcgan_performance_r32.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | dcgan_performance_r64
unmeasured declaration
`00b5da6b5360` | [matches](../../configs/forge/tasks/dcgan_performance_r64.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | dcgan_performance_w128
unmeasured declaration
`9deef6b22f01` | [matches](../../configs/forge/tasks/dcgan_performance_w128.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| five_word_joint_acquisition
unmeasured declaration
`58e8b116db94` | [matches](../../configs/forge/tasks/five_word_joint_acquisition.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| ddgan_repair_bimodal_chain_v1
unmeasured declaration
`c6a247bce2db` | [matches](../../configs/forge/tasks/ddgan_repair_bimodal_chain_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| ddgan_repair_bimodal_chain_wall_v2
unmeasured declaration
`b405f7c8e2ba` | [matches](../../configs/forge/tasks/ddgan_repair_bimodal_chain_wall_v2.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| ddgan_repair_gaussian_chain_v1
unmeasured declaration
`35963d10f8d0` | [matches](../../configs/forge/tasks/ddgan_repair_gaussian_chain_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| five_word_joint_acquisition
unmeasured declaration
`ceac60cf3277` | [matches](../../configs/forge/tasks/five_word_joint_acquisition.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_acquisition_tier1_policy_selected_cloud_v1
unmeasured declaration
`95facc1df0fc` | [matches](../../configs/forge/task-variants/tier1_policy_selected_cloud_v1/five_word_joint_acquisition_tier1_policy_selected_cloud_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_hold
seed 0 · 4000 updates · source cbb19c5e55
`2f12ad4d1387` | [CHANGED](../../configs/forge/tasks/five_word_joint_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_hold
seed 0 · 4000 updates · source a5eafc73e4
`a2fbeb163514` | [CHANGED](../../configs/forge/tasks/five_word_joint_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| five_word_joint_hold
unmeasured declaration
`c3260a42de82` | [matches](../../configs/forge/tasks/five_word_joint_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_hold
seed 0 · 4000 updates · source 2e8a97a0aa
`f53738d89abf` | [CHANGED](../../configs/forge/tasks/five_word_joint_hold.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| five_word_joint_hold
unmeasured declaration
`f5e9a3349deb` | [matches](../../configs/forge/tasks/five_word_joint_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_hold_policy_cloud_coverage_v1
unmeasured declaration
`ef312e6d2388` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/five_word_joint_hold_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_smoke
seed 0 · 20001 updates · source 2e8a97a0aa
`40e4e7fda105` | [CHANGED](../../configs/forge/tasks/five_word_joint_smoke.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/245e086f845f41f4a5425560362fb3bb.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| five_word_joint_smoke
unmeasured declaration
`a4dab1bba242` | [matches](../../configs/forge/tasks/five_word_joint_smoke.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_smoke
seed 0 · 20001 updates · source a5eafc73e4
`a74b9ce06bea` | [CHANGED](../../configs/forge/tasks/five_word_joint_smoke.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_smoke
seed 0 · 20001 updates · source cbb19c5e55
`cf3d2a4b4cf6` | [CHANGED](../../configs/forge/tasks/five_word_joint_smoke.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| five_word_joint_smoke
unmeasured declaration
`d0cf4706738f` | [matches](../../configs/forge/tasks/five_word_joint_smoke.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | five_word_joint_smoke_policy_cloud_coverage_v1
unmeasured declaration
`9bf928d6eeea` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/five_word_joint_smoke_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | gaussian1d_acquisition
unmeasured declaration
`ec7922003983` | [matches](../../configs/forge/tasks/gaussian1d_acquisition.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | gaussian1d_acquisition_tier1_policy_selected_cloud_v1
unmeasured declaration
`42bd883035df` | [matches](../../configs/forge/task-variants/tier1_policy_selected_cloud_v1/gaussian1d_acquisition_tier1_policy_selected_cloud_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -152,7 +157,8 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | img_stripes2_residual16
unmeasured declaration
`c1665c0f7e10` | [matches](../../configs/forge/tasks/img_stripes2_residual16.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | img_stripes2_w64_optimizer_diagnostic
unmeasured declaration
`e608f765f9c8` | [matches](../../configs/forge/tasks/img_stripes2_w64_optimizer_diagnostic.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | infogan_anisotropic_modes
unmeasured declaration
`66ca444b027b` | [matches](../../configs/forge/tasks/infogan_anisotropic_modes.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| mid_scale_identity
seed 0 · 800 updates · source 2e8a97a0aa
`9b5ec7eb497c` | [matches](../../configs/forge/tasks/mid_scale_identity.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| mid_scale_identity
unmeasured declaration
`95126be4e8de` | [matches](../../configs/forge/tasks/mid_scale_identity.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| mid_scale_identity
seed 0 · 800 updates · source 2e8a97a0aa
`9b5ec7eb497c` | [CHANGED](../../configs/forge/tasks/mid_scale_identity.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | mid_scale_identity
seed 0 · 800 updates · source cbb19c5e55
`9e7bc4c3b593` | [CHANGED](../../configs/forge/tasks/mid_scale_identity.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | mid_scale_identity
seed 0 · 800 updates · source a5eafc73e4
`bc71e66e7c74` | [CHANGED](../../configs/forge/tasks/mid_scale_identity.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | mid_scale_identity_policy_cloud_coverage_v1
unmeasured declaration
`7753bc58099b` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/mid_scale_identity_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -167,14 +173,19 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | mode_hold_policy_cloud_coverage_as_served_v1
unmeasured declaration
`954fc2181ea3` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_as_served_v1/mode_hold_policy_cloud_coverage_as_served_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | mode_hold_policy_cloud_coverage_v1
unmeasured declaration
`6d4e30918928` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/mode_hold_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | model_ae_ddgan_bimodal_chain
seed 0 · 5000 updates · source 2e8a97a0aa
`319e88b6b646` | [CHANGED](../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ae_ddgan_bimodal_chain
unmeasured declaration
`42563feb453e` | [matches](../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_ddgan_bimodal_chain
unmeasured declaration
`bd7525e8fe48` | [matches](../../configs/forge/tasks/model_ae_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_ddgan_gaussian_chain
unmeasured declaration
`1495a1ddc0f7` | [matches](../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | model_ae_ddgan_gaussian_chain
seed 0 · 2500 updates · source 2e8a97a0aa
`c10c0a3cde9c` | [CHANGED](../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/a80139e06a2c4120bf92674cc7575c95.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ae_ddgan_gaussian_chain
unmeasured declaration
`d1ca29e96cec` | [matches](../../configs/forge/tasks/model_ae_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ae_gan_multimodal
seed 0 · 1200 updates · source 2e8a97a0aa
`cee1801f8492` | [matches](../../configs/forge/tasks/model_ae_gan_multimodal.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/c809ca5679694c8998e135ade239f375.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ddgan_bimodal_chain
unmeasured declaration
`a003f8e830ed` | [matches](../../configs/forge/tasks/model_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_gan_multimodal
unmeasured declaration
`2ab202ac888f` | [matches](../../configs/forge/tasks/model_ae_gan_multimodal.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_gan_multimodal
seed 0 · 1200 updates · source 2e8a97a0aa
`cee1801f8492` | [CHANGED](../../configs/forge/tasks/model_ae_gan_multimodal.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/c809ca5679694c8998e135ade239f375.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_reconstruction
unmeasured declaration
`70ec3527a06c` | [matches](../../configs/forge/tasks/model_ae_reconstruction.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ddgan_bimodal_chain
unmeasured declaration
`3bf5196dc968` | [matches](../../configs/forge/tasks/model_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | model_ddgan_bimodal_chain
seed 0 · 5000 updates · source 2e8a97a0aa
`eb14df526703` | [CHANGED](../../configs/forge/tasks/model_ddgan_bimodal_chain.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | model_ddgan_gaussian_chain
seed 0 · 2500 updates · source 2e8a97a0aa
`8cfd444c0a86` | [CHANGED](../../configs/forge/tasks/model_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/fcf270c33afb4488a1441ddabde10d85.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ddgan_gaussian_chain
unmeasured declaration
`f682323992d0` | [matches](../../configs/forge/tasks/model_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ddgan_gaussian_chain
unmeasured declaration
`c4a7ec1ed8cd` | [matches](../../configs/forge/tasks/model_ddgan_gaussian_chain.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_misgan_four_mode
unmeasured declaration
`25bc6f2bb818` | [matches](../../configs/forge/tasks/model_misgan_four_mode.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_vae_categorical
unmeasured declaration
`23080cd0990d` | [matches](../../configs/forge/tasks/model_vae_categorical.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_vae_hard
unmeasured declaration
`56cf9bfcd815` | [matches](../../configs/forge/tasks/model_vae_hard.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | pacgan8_grid100
unmeasured declaration
`c4a0c2e903f4` | [matches](../../configs/forge/tasks/pacgan8_grid100.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | pacgan_unequal_mass
unmeasured declaration
`59ead0f578e4` | [matches](../../configs/forge/tasks/pacgan_unequal_mass.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | precision_gaussian_fp32
unmeasured declaration
`223bef19050f` | [matches](../../configs/forge/tasks/precision_gaussian_fp32.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -212,7 +223,8 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | recipe-prior-refactor-legacy-vector_unequal_width
unmeasured declaration
`c5035d4202de` | [matches](../../configs/forge/tasks/recipe-prior-refactor-legacy-vector_unequal_width.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | residual_student
seed 0 · 400 updates · source a5eafc73e4
`05ff6e38d0ff` | [CHANGED](../../configs/forge/tasks/residual_student.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | residual_student
seed 0 · 400 updates · source cbb19c5e55
`07cb37cd857c` | [CHANGED](../../configs/forge/tasks/residual_student.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| residual_student
seed 0 · 400 updates · source 2e8a97a0aa
`ac8e8107800c` | [matches](../../configs/forge/tasks/residual_student.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| residual_student
unmeasured declaration
`3b02c6210fc5` | [matches](../../configs/forge/tasks/residual_student.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| residual_student
seed 0 · 400 updates · source 2e8a97a0aa
`ac8e8107800c` | [CHANGED](../../configs/forge/tasks/residual_student.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | residual_student_policy_cloud_coverage_v1
unmeasured declaration
`dbc5b2b277bb` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/residual_student_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ring16_acquisition
seed 0 · 1600 updates · source a5eafc73e4
`7095dc3905ca` | [matches](../../configs/forge/tasks/ring16_acquisition.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ring16_acquisition
seed 0 · 1600 updates · source 2e8a97a0aa
`c5c1455394aa` | [matches](../../configs/forge/tasks/ring16_acquisition.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/b899acc300f64f288b59586f2dc34113.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -262,21 +274,25 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | target_shift_recovery
unmeasured declaration
`8257a76c7ec8` | [matches](../../configs/forge/tasks/target_shift_recovery.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | target_shift_recovery_policy_cloud_coverage_as_served_v1
unmeasured declaration
`26bb3db31019` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_as_served_v1/target_shift_recovery_policy_cloud_coverage_as_served_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | target_shift_recovery_policy_cloud_coverage_v1
unmeasured declaration
`f1a9e017872a` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/target_shift_recovery_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| trajectory
unmeasured declaration
`0d02e8725d7f` | [matches](../../configs/forge/tasks/trajectory.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | trajectory
seed 0 · 400 updates · source cbb19c5e55
`94cb33eea968` | [CHANGED](../../configs/forge/tasks/trajectory.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| trajectory
seed 0 · 400 updates · source 2e8a97a0aa
`add2a3a948de` | [matches](../../configs/forge/tasks/trajectory.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| trajectory
seed 0 · 400 updates · source 2e8a97a0aa
`add2a3a948de` | [CHANGED](../../configs/forge/tasks/trajectory.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | trajectory
seed 0 · 400 updates · source a5eafc73e4
`b62f3b55f3f3` | [CHANGED](../../configs/forge/tasks/trajectory.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | trajectory_policy_cloud_coverage_v1
unmeasured declaration
`dc854c1dad47` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/trajectory_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole
seed 0 · 80 updates · source a5eafc73e4
`4a8516a3dbee` | [CHANGED](../../configs/forge/tasks/two_pole.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| two_pole
unmeasured declaration
`76c27ea2f1e8` | [matches](../../configs/forge/tasks/two_pole.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole
seed 0 · 80 updates · source cbb19c5e55
`812d8355be4a` | [CHANGED](../../configs/forge/tasks/two_pole.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| two_pole
seed 0 · 80 updates · source 2e8a97a0aa
`fee83d51d405` | [matches](../../configs/forge/tasks/two_pole.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/1a2e0d8b9690413ca1abe6d4c2391602.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| two_pole
seed 0 · 80 updates · source 2e8a97a0aa
`fee83d51d405` | [CHANGED](../../configs/forge/tasks/two_pole.json) | 0/9 | NO INDEXED WITNESS | [FAIL](technique-receipts/1a2e0d8b9690413ca1abe6d4c2391602.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole_800_schedule800_diagnostic_v1
unmeasured declaration
`076ed910fbb0` | [matches](../../configs/forge/tasks/two_pole_800_schedule800_diagnostic_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole_800_schedule80_diagnostic_v1
unmeasured declaration
`d668ac5717bd` | [matches](../../configs/forge/tasks/two_pole_800_schedule80_diagnostic_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole_policy_cloud_coverage_v1
unmeasured declaration
`0858901b937e` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/two_pole_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | two_pole_tier1_policy_selected_cloud_v1
unmeasured declaration
`8525266eb151` | [matches](../../configs/forge/task-variants/tier1_policy_selected_cloud_v1/two_pole_tier1_policy_selected_cloud_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| unipolar
seed 0 · 400 updates · source 2e8a97a0aa
`a005c187acf9` | [matches](../../configs/forge/tasks/unipolar.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| unipolar
unmeasured declaration
`446eba160a97` | [matches](../../configs/forge/tasks/unipolar.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| unipolar
seed 0 · 400 updates · source 2e8a97a0aa
`a005c187acf9` | [CHANGED](../../configs/forge/tasks/unipolar.json) | 0/9 | NO INDEXED WITNESS | [NOT RUN](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unipolar
seed 0 · 400 updates · source a5eafc73e4
`c43043b4d20a` | [CHANGED](../../configs/forge/tasks/unipolar.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unipolar
seed 0 · 400 updates · source cbb19c5e55
`f68fe5d2e6dd` | [CHANGED](../../configs/forge/tasks/unipolar.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unipolar_policy_cloud_coverage_v1
unmeasured declaration
`8560020ed46d` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/unipolar_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| unused_token_hold
unmeasured declaration
`308e04792848` | [matches](../../configs/forge/tasks/unused_token_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unused_token_hold
seed 0 · 200 updates · source a5eafc73e4
`6535c08019ed` | [CHANGED](../../configs/forge/tasks/unused_token_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | [BLOCKED](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unused_token_hold
seed 0 · 200 updates · source cbb19c5e55
`a20d154bd33f` | [CHANGED](../../configs/forge/tasks/unused_token_hold.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | [NOT RUN](technique-evidence/2880110ed49454a452197b2e42adafed37447bb43d288340299599bc8edc1025.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unused_token_hold_policy_cloud_coverage_v1
unmeasured declaration
`21a9893535bb` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/unused_token_hold_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -326,7 +342,7 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | vector_unequal_width_policy_cloud_coverage_v1
unmeasured declaration
`5f39bc2f6691` | [matches](../../configs/forge/task-variants/policy_cloud_coverage_v1/vector_unequal_width_policy_cloud_coverage_v1.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | vector_unequal_width_published
unmeasured declaration
`936a9d36c124` | [matches](../../configs/forge/tasks/vector_unequal_width_published.json) | 0/9 | NO INDEXED WITNESS | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | zero_tanh_rail_escape
seed 0 · 2000 updates · source 2e8a97a0aa
`1e83747ec7ab` | [matches](../../configs/forge/tasks/zero_tanh_rail_escape.json) | 0/9 | NO INDEXED WITNESS | [BLOCKED](technique-evidence/4eaeb2e733970936d752120f26b8987bbb676615ef791ef415d1740480eae5cf.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| ae_gan_hold
seed 0 · 250 updates · source 2e8a97a0aa
`d53b529a0a88` | [matches](../../configs/forge/tasks/ae_gan_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/0e91e77f8f4b4170b955eea7d911bfe5.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| ae_gan_hold
seed 0 · 250 updates · source 2e8a97a0aa
`d53b529a0a88` | [CHANGED](../../configs/forge/tasks/ae_gan_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/0e91e77f8f4b4170b955eea7d911bfe5.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | ae_gan_hold
seed 0 · 250 updates · source c82ed2dc71
`fc01bdf6fab6` | [CHANGED](../../configs/forge/tasks/ae_gan_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/1794aa9a44ec4397b0383f5470bdc915.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | clockfree_audit_measurement_v1
seed 0 · 24 updates · source 2e8a97a0aa
`89cf22a212ac` | [matches](../../configs/forge/tasks/clockfree_audit_measurement_v1.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/800f097527524ca6ac5fcd40e98c7c4b.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | clockfree_audit_measurement_v1
seed 0 · 24 updates · source a5eafc73e4
`a51fd8e52856` | [matches](../../configs/forge/tasks/clockfree_audit_measurement_v1.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | [PASS](technique-receipts/00dd0a0638e04570800c05467cc322cd.json) | NOT RUN | NOT RUN | [FAIL](technique-receipts/12512c65969f45e8b64e9b21db88e31e.json) | [FAIL](technique-receipts/5adadcfcc5b94ea8b6f38d430f5106cc.json) | [FAIL](technique-receipts/03e41cd988964ae595209316567132d6.json) | [FAIL](technique-receipts/12bc543e8b564690953453bfaf8720cc.json) | @@ -343,9 +359,9 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | mid_scale_identity
seed 0 · 800 updates · source c82ed2dc71
`26dc703eef7a` | [CHANGED](../../configs/forge/tasks/mid_scale_identity.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/e81eec8db83742b6bd6e1c14e8e95031.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | mid_scale_identity
seed 0 · 800 updates · source a5eafc73e4
`68dd47a2b539` | [CHANGED](../../configs/forge/tasks/mid_scale_identity.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | [PASS](technique-receipts/20615d5f83ef41bfb716a58c4cc9a945.json) | NOT RUN | NOT RUN | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | | mode_hold
seed 0 · 1200 updates · source c82ed2dc71
`0fe2efda3f7e` | [matches](../../configs/forge/tasks/mode_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/e09372c6d8004fd8aa529caff91bb759.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_ae_reconstruction
seed 0 · 1200 updates · source 2e8a97a0aa
`8751d812aeff` | [matches](../../configs/forge/tasks/model_ae_reconstruction.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/cf196eec16eb49888a2a768fa713738b.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_vae_categorical
seed 0 · 1200 updates · source 2e8a97a0aa
`750f5805ba0e` | [matches](../../configs/forge/tasks/model_vae_categorical.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/12700f3f2d1246d38eb0523bb6353c90.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | -| model_vae_hard
seed 0 · 1200 updates · source 2e8a97a0aa
`27fc4d27fce1` | [matches](../../configs/forge/tasks/model_vae_hard.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/9c5d95f842b94e4c9ea06c8527b12de1.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_ae_reconstruction
seed 0 · 1200 updates · source 2e8a97a0aa
`8751d812aeff` | [CHANGED](../../configs/forge/tasks/model_ae_reconstruction.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/cf196eec16eb49888a2a768fa713738b.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_vae_categorical
seed 0 · 1200 updates · source 2e8a97a0aa
`750f5805ba0e` | [CHANGED](../../configs/forge/tasks/model_vae_categorical.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/12700f3f2d1246d38eb0523bb6353c90.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| model_vae_hard
seed 0 · 1200 updates · source 2e8a97a0aa
`27fc4d27fce1` | [CHANGED](../../configs/forge/tasks/model_vae_hard.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/9c5d95f842b94e4c9ea06c8527b12de1.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | residual_student
seed 0 · 400 updates · source c82ed2dc71
`8ba93e0c79d7` | [CHANGED](../../configs/forge/tasks/residual_student.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/04219fc2d9d14cfdbb51fb86c841ec85.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | residual_student
seed 0 · 400 updates · source a5eafc73e4
`d807dc0d402b` | [CHANGED](../../configs/forge/tasks/residual_student.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | [PASS](technique-receipts/9f184a955de342859ae3083151c2c5fa.json) | NOT RUN | NOT RUN | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | | ring16_acquisition
seed 0 · 1600 updates · source c82ed2dc71
`736437fb6cc1` | [matches](../../configs/forge/tasks/ring16_acquisition.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/39d19349c7bd4b75acb5c4e69b53c93a.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | @@ -357,7 +373,7 @@ Indexed: **1434 test/protocol rows**, **565 complete recipe/source/runtime ident | two_pole
seed 0 · 80 updates · source c82ed2dc71
`b821bec5afac` | [CHANGED](../../configs/forge/tasks/two_pole.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/0d2f7899cd3b4751935da9c75ae5717e.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unipolar
seed 0 · 400 updates · source c82ed2dc71
`2bdd4a647724` | [CHANGED](../../configs/forge/tasks/unipolar.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/d9651820d35d460ab836ec1559294b99.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unipolar
seed 0 · 400 updates · source a5eafc73e4
`4e6aba7e305b` | [CHANGED](../../configs/forge/tasks/unipolar.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | [PASS](technique-receipts/a500e3cc2295425ab171d035c50438b0.json) | NOT RUN | NOT RUN | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | -| unused_token_hold
seed 0 · 200 updates · source 2e8a97a0aa
`c7f9718d85b4` | [matches](../../configs/forge/tasks/unused_token_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/9a5f3d6109a9488dbf3183982c71422c.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | +| unused_token_hold
seed 0 · 200 updates · source 2e8a97a0aa
`c7f9718d85b4` | [CHANGED](../../configs/forge/tasks/unused_token_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | [PASS](technique-receipts/9a5f3d6109a9488dbf3183982c71422c.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | unused_token_hold
seed 0 · 200 updates · source c82ed2dc71
`fb10ee74886a` | [CHANGED](../../configs/forge/tasks/unused_token_hold.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/89634c5d4f7f48578d55937f83591389.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | | vector_spiral
seed 0 · 1600 updates · source a5eafc73e4
`08b069420cc6` | [matches](../../configs/forge/tasks/vector_spiral.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | [PASS](technique-receipts/653214d55bfc40c68c462546f65d257f.json) | NOT RUN | NOT RUN | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | [NOT RUN](technique-evidence/29979e41c9c05e3304156cf4a43ed9c9dda6953bffd0fb47096fe47d6b8af13a.json) | | vector_spiral
seed 0 · 1600 updates · source c82ed2dc71
`666b87739dd6` | [matches](../../configs/forge/tasks/vector_spiral.json) | 1/9 | optimizer 1, oracle 0, representation 0 | NOT RUN | NOT RUN | NOT RUN | [PASS](technique-receipts/01c3537f395745d2aa12970ed46509f9.json) | NOT RUN | NOT RUN | NOT RUN | NOT RUN | NOT RUN | diff --git a/reports/forge/vaegan-coverage/README.md b/reports/forge/vaegan-coverage/README.md new file mode 100644 index 000000000..fc38cc382 --- /dev/null +++ b/reports/forge/vaegan-coverage/README.md @@ -0,0 +1,174 @@ +# VAEGAN prior coverage with BISPF + +One global `bispf-vaegan-settle-v1` recipe passes both declared hard and categorical +VAEGAN toys at all five terminal checks. The matched inventory baseline and +transport-only repair both fail the sustained gates. Six full-budget Forge runs +retain four failures and two passes; no third round was needed. These are scoped +two-mode results, with no whole-suite qualification or public-default change. + + + +| Global recipe | Hard VAEGAN | Categorical VAEGAN | Task passes | +| --- | --- | --- | ---: | +| `bispf-vaegan-settle-v1` | [PASS](media/bispf-vaegan-settle-v1-model_vae_hard.gif) (5/5 terminal; suffix 6) | [PASS](media/bispf-vaegan-settle-v1-model_vae_categorical.gif) (5/5 terminal; suffix 9) | 2/2 | +| `bispf-optimized-quintic-v1` | [FAIL](media/bispf-optimized-quintic-v1-model_vae_hard.gif) (2/5 terminal; suffix 1) | [FAIL](media/bispf-optimized-quintic-v1-model_vae_categorical.gif) (3/5 terminal; suffix 2) | 0/2 | +| `bispf-vaegan-transport-v1` | [FAIL](media/bispf-vaegan-transport-v1-model_vae_hard.gif) (0/5 terminal; suffix 0) | [FAIL](media/bispf-vaegan-transport-v1-model_vae_categorical.gif) (0/5 terminal; suffix 0) | 0/2 | + +All measured arms complete 1,200 updates and24 checks; the last five determine +PASS. This table is the single current comparison for `vaegan_coverage`. +Every revision and failure remains in [compact results](results.json). +GPU0 was shared under load; recorded costs supply no speed ranking. + + + +Every run completes 1,200 updates, 24 fixed numerical checks and 4,096 held-out +inputs per check. All six share the exact scientific source manifest, initial +encoder/decoder/critic/prior hashes and consumed target-batch digest. Origin +commits `c4beb25d6` and `86ee9d9d8` freeze the two rounds; their scientific source +files are byte-identical. [Compact evidence](results.json) retains exact recipe, +source, task, sampling, initialization, runtime, independent grader and artifact +bindings. [Terminal minima and maxima](terminal-summary.json) cover every metric. +The table above is the sole current generated comparison for this research goal. + +| Passing task | Maximum reconstruction MSE | Minimum decoder-mean HQ | Maximum decoder-mean TV | Minimum likelihood HQ | Maximum likelihood TV | +| --- | ---: | ---: | ---: | ---: | ---: | +| Hard VAEGAN | .0095024 | .985840 | .014160 | .971191 | .028809 | +| Categorical VAEGAN | .0049299 | .976074 | .023926 | .954834 | .045166 | + +These are worst values over updates 1,000, 1,050, 1,100, 1,150 and 1,200. Bounds +are reconstruction MSE ≤.05, each HQ ≥.85 and each TV ≤.15; both independent +sampling laws retain both modes. Shuffling codes increases error by at least +236.28×/452.79× and posterior mutual information stays above .85089/.69348 nats +(hard/categorical). Local latent-noise second-moment ratios are 1.00090/1.00330, +within [.8, 1.2]. Maximum KL identity errors are 7.62e-9/7.03e-7; maximum Gaussian +ELBO identity errors are 4.45e-16/1.34e-15, below the original 1e-5/1e-4 bounds. +The hard model retains genuine constant KL `log(16)`; categorical KL remains +variable. Final reconstruction MSE is .0047111/.0046466, and final actual Gaussian +likelihood HQ is .986084/.970947. Passing suffixes are six/nine checks. The hard +run still has a reconstruction failure at update 900, preserved in the raw +states and actual-training GIF; the original requirement concerns the last five. + +The question is whether a variational encoder can retain useful stochastic, +input-dependent reconstruction while independently sampling both target modes. +Tasks retain balanced anchors (-1.5, 0)/(1.5, 0), data sigma .05, a uniform +16-by-2 MoG with fixed local sigma .025, width-32 encoder/decoder/critic networks, +Gaussian observation sigma .03, two training/eight evaluation posterior draws, +seed 0 and the public deterministic initializer. Decoder means and actual +Gaussian likelihood draws have separate gates. Architecture, data law, initial +prior/capacity, sampling, batch streams, update allowance and cadence are fixed +across trainer candidates. Constructor, target, prior identity/noise, posterior, +training noise, evaluation and penalty streams are isolated and checkpointed. + +The [archived investigation](../vae-failure-investigation/README.md) linked every +hard endpoint quality miss to rows with low posterior use, while reconstruction +and input information passed. The passing categorical control showed the same +association with fewer misses, so low usage alone never established causation. +The archived CPU hard FAIL and categorical PASS remain under source +`bee9f06ed21695e518c1cb702e12a385ab9389e8` and their original contracts. This +matched CUDA baseline fails both sustained gates despite passing endpoints. +We have not isolated the reason for the difference between those cohorts. + +[Larsen et al.](https://proceedings.mlr.press/v48/larsen16.pdf) combine variational +inference and adversarial decoder training; their D0 ablation uses pixel-space +reconstruction. Our Gaussian vector observation model is a scoped variant with +discrete MoG inference. [Wasserstein Auto-Encoders](https://arxiv.org/abs/1711.01558) +motivates examining aggregate posterior/prior mismatch. The projected data-space +repair is our inference from that diagnosis, rather than a reproduction of WAE. + +Round 1 activates existing public `Recipe.kinetic_transport_loss`, weight 1 with +32 deterministic projections, on independent-prior generator batches. It matches +empirical projected quantiles, normalized by detached target variance, with +gradients to the generator and sampled prior rows. It adds no labels, target +anchors, samples, RNG streams or persistent controller. The matched baseline +passes only 2/5 hard and 3/5 categorical terminal checks. Transport passes 0/5 +for both; its final likelihood HQ is .81909/.68579. Good reconstruction does not +ensure useful independent generation. + +The [round-1 terminal diagnosis](round1-diagnosis.json) reads all 20 saved states +with zero updates, using a separately declared CPU row-stratified panel. Baseline +misses are entirely concentrated on rows below 1% posterior use at every terminal +state. Transport also harms higher-usage rows and leaves more low-usage rows: +13–14 versus 11–12 for hard, 8–9 versus seven for categorical. Thus this auxiliary +alone failed to repair the coverage problem. Detailed row arrays stay outside Git. + +Round 2 keeps transport and changes exactly three recipe fields: +`lr_anneal_start: .6 → 0`, `lr_floor: 1 → .05`, and +`network_lr_floor: 1 → .05`. This activates the existing cosine schedule from +update zero over the fixed 1,200-update task horizon, explicitly giving up the +baseline's constant-rate claim. Adversarial loss, genuine scaled Gaussian ELBO, +Born-Infeld critic penalty, normalized optimizer, thermal hook, learned prior and +SBNP regularization at .01 remain unchanged. Saved baseline update-1,000 rates +are G/E .012, prior .03 and D .018. Lowering these together tests whether finite +normalized steps keep recoverable rows fluctuating. The cosine form is related +to [SGDR](https://arxiv.org/abs/1608.03983); our single decay has no restarts and +makes no general convergence claim. + +The [round-2 saved-state panel](round2-diagnosis.json) still finds 12–13 low-usage +hard rows and nine categorical rows. Equal-row quality remains approximately +.987–.993/.977–.986 across terminal states. The repair settles decoded quality +without balancing posterior row usage. This distinguishes successful generation +from a claim that every prior row becomes well-used by inference. + +Recommend this complete recipe for these two declared toys. The next useful +separate causal question is the same settling schedule with transport disabled; +this study does not establish that transport is necessary. Broader mode counts, +within-mode density calibration, indefinite constant-rate stability and the +remaining technique-inventory tasks are unmeasured. No seed repeat, continuation, +outcome-selected checkpoint or default promotion follows. + +The [frozen protocol](protocol.json) capped round 1 at four runs/1,200 reserved +seconds and each of at most two substantive repairs at two runs/600 seconds. +Only six runs/1,800 reserved seconds were used from the 2,400-second ceiling. +Recorded initialization/training/evaluation totals 1,301.847 seconds; complete +worker time is 1,367.423 seconds. GPU 0 was shared under load, so these costs +supply no speed comparison. Every task retains a 300-second cap. The +[research diagnostic view](../../../configs/forge/views/vaegan_coverage.json) +confers no ordinary qualification. Source-bound Forge readouts preserve each +exact revision and its failed or passing numerical gates. + +Validation: 23 focused public-API, scorer, checkpoint replay, RNG-isolation and +Forge tests pass. [Fourteen oracle/destructive control verdicts](scorer-controls.json) +match expectations: both oracles pass; shuffled reconstructions, missing latent +noise, input-independent posteriors, collapsed prior/likelihood outputs and +missing KL fail their relevant bounds. The optional recorder saves all 25 actual +observations, including the initial state, with complete model/optimizer/policy/ +constructor/named-stream state. Recording is read-only and exact continuation is +tested. [Source migration](source-migration.json) retains exact original task +blobs and hashes; no archived result is rewritten or retrained. Export copies +saved GIFs and independent frozen-source grader receipts, adding no training, +sampling or new rendering. Its reporting guard excludes candidate-derived field +ownership from fixed task comparisons while retaining the full binding hash. + +The full CI shard found one stale generated-report guard: adding this diagnostic +view had not refreshed the technique inventory’s display metadata. The +[display-only repair](ci-report-refresh.json) refreshes the existing inventory +and family navigation. The exact failing test passes; all nine selected +scientific rows, their original task contracts and all six VAEGAN results stay +byte-exact. No training, sampling or qualification regrading was added. + +Reproduce scientific runs from a frozen checkout using the three declared +studies, with an unused external queue root. Planning is read-only: + +```sh +python -m experiments.forge --queue-root /outside-git/vaegan-queue \ + plan bispf-vaegan-settle-v1 --study vaegan-coverage-settle-v1 +python -m experiments.forge --queue-root /outside-git/vaegan-queue \ + enqueue bispf-vaegan-settle-v1 --study vaegan-coverage-settle-v1 +python -m experiments.forge --queue-root /outside-git/vaegan-queue \ + drain --gpus 0 --workers-per-gpu 2 --allow-sharing --campaign vaegan-coverage-round2-v1 +``` + +For report-only recovery from saved artifacts, without training or sampling: + +```sh +python reports/forge/vaegan-coverage/publish.py --queue-root /path/to/saved/queue +python reports/forge/vaegan-coverage/analyze_states.py \ + --campaign /path/to/saved/queue/vaegan-coverage-round2-v1 \ + --output /outside-git/new-row-diagnosis.json +``` + +Bulk logs, complete states and row arrays remain at +`/nvme/dev/particlegan/artifacts/vaegan-bispf-20261019/`. +Tail the combined stream with +`tail -F /nvme/dev/particlegan/artifacts/vaegan-bispf-20261019/stdout.log`. +Each attempt also has its own `queue/vaegan-coverage-round*-v1/*/run.log`. diff --git a/reports/forge/vaegan-coverage/analyze_states.py b/reports/forge/vaegan-coverage/analyze_states.py new file mode 100644 index 000000000..36eff45b8 --- /dev/null +++ b/reports/forge/vaegan-coverage/analyze_states.py @@ -0,0 +1,84 @@ +"""Read-only exploratory per-row diagnosis on saved VAEGAN terminal states. + +No optimizer is constructed or updated. CPU observations use a separate local +panel; they are diagnostics, not replacements for the recorded CUDA gates. +""" +from __future__ import annotations +import argparse +import hashlib +import json +import sys +from pathlib import Path +import torch +from torch import nn + +ROOT = Path(__file__).resolve().parents[3] +sys.path.insert(0, str(ROOT)) +from particlegan import Recipe +from benchmarks.toy_audit.api_model_vae import ANCHORS, sample_target +from experiments.forge.contracts import atomic_json, file_hash + + +def analyze(directory): + request = json.loads((directory / 'request.json').read_text()) + task_id = request['job']['task_id'] if 'job' in request else '' + rows = [] + for path in sorted((directory / 'observation-checkpoints').glob('step-*.pt')): + step = int(path.stem.split('-')[-1]) + if step not in (1000, 1050, 1100, 1150, 1200): + continue + original_sha = file_hash(path) + saved = torch.load(path, weights_only=False, map_location='cpu') + recipe = Recipe.from_dict(saved['policy']['recipe']) + def mlp(out): + # Construction is isolated from the caller's global RNG below. + return nn.Sequential(nn.Linear(2, 32), nn.LeakyReLU(.2), nn.Linear(32, out)) + with torch.random.fork_rng(devices=[]): + encoder, generator = mlp(2), mlp(2) + prior = recipe.make_prior(sigma=.025) + states = saved['policy']['models'] + encoder.load_state_dict(states['encoder']) + generator.load_state_dict(states['generator']) + recipe.apply_prior_policy(prior) + prior.load_state_dict(states['prior']) + with torch.no_grad(): + rng = torch.Generator().manual_seed(10000) + data = sample_target(4096, rng, 'cpu') + encoded = recipe.encode(encoder(data), prior, draws=8, generator=rng) + usage = encoded.log_probs.exp().mean(0) + centers = prior.means() + noise = .025 * torch.randn(16, 1024, 2, generator=rng) + prediction = generator((centers[:, None] + noise).flatten(0, 1)).reshape(16, 1024, 2) + distances = torch.cdist(prediction.flatten(0, 1), prediction.new_tensor(ANCHORS)).min(1).values.reshape(16, 1024) + row_hq = (distances <= .2).float().mean(1) + low = usage < .01 + misses = 1 - row_hq + low_attribution = float(misses[low].sum() / misses.sum()) if float(misses.sum()) else None + rows.append(dict(step=step, checkpoint_sha256=original_sha, + posterior_mass=usage.tolist(), row_decoder_mean_hq=row_hq.tolist(), + low_usage_rows=int(low.sum()), low_usage_threshold=.01, + equal_row_quality=float(row_hq.mean()), low_usage_miss_attribution=low_attribution, + posterior_prior_mass_tv=float((usage-1/16).abs().sum()/2), + center_anchor_distance=torch.cdist(generator(centers), centers.new_tensor(ANCHORS)).min(1).values.tolist())) + if file_hash(path) != original_sha: + raise ValueError('saved checkpoint changed during read-only diagnosis') + return dict(attempt=directory.name, terminal_states=rows) + + +def main(): + parser=argparse.ArgumentParser(description=__doc__) + parser.add_argument('--campaign', type=Path, required=True) + parser.add_argument('--output', type=Path, required=True) + args=parser.parse_args() + if args.output.exists(): + raise FileExistsError(args.output) + torch.set_num_threads(1) + result=dict(schema='vaegan_saved_terminal_rows_v1', qualification_input=False, + optimizer_updates=0, source_sha256=file_hash(Path(__file__)), + scope='Exploratory CPU row-stratified1024draws/row and4096-input posterior panel; no CUDA gate replacement.', + attempts=[analyze(p) for p in sorted(args.campaign.iterdir()) if (p/'request.json').is_file()]) + atomic_json(args.output,result) + print(json.dumps(dict(output=str(args.output),attempts=len(result['attempts'])))) + +if __name__=='__main__': + main() diff --git a/reports/forge/vaegan-coverage/ci-report-refresh.json b/reports/forge/vaegan-coverage/ci-report-refresh.json new file mode 100644 index 000000000..0f747e39d --- /dev/null +++ b/reports/forge/vaegan-coverage/ci-report-refresh.json @@ -0,0 +1,26 @@ +{ + "failed_head": "627ec65cf19d6c2607e92c452958c49042d91da4", + "failed_job": "https://github.com/255BITS/ParticleGAN/actions/runs/39361421744/job/118428392394", + "failure": "Committed technique-inventory.family_progress display metadata omitted the newly declared VAEGAN diagnostic view and source-binding updates.", + "forge_validation": "PASS", + "memory_status": "CURRENT", + "original_task_contracts_after_sha256": "f5d348c1cf25233e1a5a75e5925b5af1855c3aa8b4179858ece74c8e127021ff", + "original_task_contracts_before_sha256": "f5d348c1cf25233e1a5a75e5925b5af1855c3aa8b4179858ece74c8e127021ff", + "qualification_regraded": false, + "regression_test": "tests/test_forge_family_reports.py::test_committed_pages_and_every_drilldown_link_match_the_generator", + "related_report_tests": { + "failed": 0, + "passed": 141, + "scope": "Family reports, tier navigation, model publication and source-bound recall;140cases passed before manifest refresh, final freshness guard passed after refresh." + }, + "repair_command": "python reports/forge/regenerate_technique_inventory.py --refresh-publication", + "sampling_draws_added": 0, + "schema": "vaegan_display_ci_repair_v1", + "scientific_rows_preserved": true, + "selected_rows_after_sha256": "61a7a1e7d00ce901daa241177299afeb14e8e54335630cf5c49db58f9be5f2df", + "selected_rows_before_sha256": "61a7a1e7d00ce901daa241177299afeb14e8e54335630cf5c49db58f9be5f2df", + "six_run_results_sha256": "9d6df31f0ab3fb5d4bfac99c7cf8b81e6e8ea4ca79ae5d8f40e2b0151d579882", + "targeted_test": "PASS", + "terminal_summary_sha256": "f465340d0dd084a10041f225c278635ae3bd0559a997dcc38c635183437d6da9", + "training_updates_added": 0 +} diff --git a/reports/forge/vaegan-coverage/media/bispf-optimized-quintic-v1-model_vae_categorical.gif b/reports/forge/vaegan-coverage/media/bispf-optimized-quintic-v1-model_vae_categorical.gif new file mode 100644 index 000000000..941295d7d Binary files /dev/null and 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/dev/null +++ b/reports/forge/vaegan-coverage/protocol.json @@ -0,0 +1,37 @@ +{ + "baseline": "bispf-optimized-quintic-v1", + "core": "BISPF adversarial VAEGAN with genuine KL and Gaussian reconstruction", + "device": "cuda:0", + "evaluation_samples": 4096, + "historical": { + "categorical": "PASS", + "hard": "FAIL", + "role": "motivation only, independent CPU cohort, no unchanged reruns", + "source": "bee9f06ed21695e518c1cb702e12a385ab9389e8" + }, + "initial_round_jobs": 4, + "maximum_jobs": 8, + "maximum_reserved_seconds": 2400, + "maximum_rounds": 3, + "metric_checks": 24, + "primary_sources": [ + { + "url": "https://proceedings.mlr.press/v48/larsen16.pdf", + "use": "Shared encoder/decoder GAN hybrid; pixel reconstruction D0 ablation is an explicit paper variant. No exact face-model reproduction claimed." + }, + { + "url": "https://arxiv.org/abs/1711.01558", + "use": "Aggregated encoded distribution/prior mismatch motivates coverage diagnosis. Data-space projected transport repair is our inference, not an implementation of WAE." + } + ], + "prior_regularization_weight": 0.01, + "prior_regularizer": "sbnp", + "prior_update": "learned", + "round1": "bispf-vaegan-transport-v1", + "schema": "vaegan_bispf_coverage_protocol_v1", + "seed": 0, + "source_checkpoint_recording": "All actual observations, including all24 metric observations plus media states; complete model/optimizer/policy/all named RNG states.", + "steps": 1200, + "stopping": "Finish both independent tasks per round. Stop a failed revision; inspect saved states before next substantive mechanism. Stop after three measured recipes or all tasks pass. No seed repeats, score changes, checkpoint selection or whole-suite qualification.", + "terminal_checks": 5 +} diff --git a/reports/forge/vaegan-coverage/publish.py b/reports/forge/vaegan-coverage/publish.py new file mode 100644 index 000000000..f23856453 --- /dev/null +++ b/reports/forge/vaegan-coverage/publish.py @@ -0,0 +1,112 @@ +"""Publish saved Forge results and GIFs; no training, sampling, or rendering.""" +from __future__ import annotations +import argparse +from collections import defaultdict +import json +from pathlib import Path +import shutil +import sys + +ROOT=Path(__file__).resolve().parents[3] +sys.path.insert(0,str(ROOT)) +from experiments.forge.contracts import atomic_json, file_hash, stable_hash + + +def export(queue): + report=Path(__file__).resolve().parent + rows=[] + media=report/'media' + media.mkdir(exist_ok=True) + for directory in sorted(queue.glob('vaegan-coverage-round*-v1/*')): + if not (directory/'request.json').is_file(): + continue + envelope=json.loads((directory/'request.json').read_text()) + request=envelope['request']; task_id=envelope['job']['task_id'] + task=request['tasks'][task_id] + raw_path=directory/'api/receipt.json' + adapter_path=directory/'adapter-receipt.json' + if not raw_path.is_file() or not adapter_path.is_file(): + raise ValueError(f'Incomplete attempt must be examined before publication: {directory}') + raw=json.loads(raw_path.read_text()); adapter=json.loads(adapter_path.read_text()) + terminal_receipt=json.loads((directory/'terminal.json').read_text()) + recorded=json.loads((directory/'raw-result.json').read_text()) + if (terminal_receipt['attempt_status']!='completed' + or terminal_receipt['grading']['raw_hash']!=stable_hash(recorded) + or terminal_receipt['grading']['source_digest']!=request['source']['digest']): + raise ValueError('Missing or mismatched independent frozen-source grading') + grade=terminal_receipt['grading']['grades'][task_id] + scoring=[v for v in raw['observations'] if v['step'] in raw['protocol']['metric_evaluation_steps'] and v['step']>0] + terminal=scoring[-5:] + suffix=0 + for v in reversed(scoring): + if not v['passed']: break + suffix+=1 + candidate=request['candidate']['id'] + name=f'{candidate}-{task_id}' + gif=media/f'{name}.gif' + shutil.copyfile(directory/'api/goal.gif',gif) + checkpoints=adapter['evidence']['observation_checkpoints'] + if {v['step'] for v in scoring}-{v['step'] for v in checkpoints}: + raise ValueError('Missing scheduled complete checkpoint') + failed_terminal=[dict(step=v['step'],failed_bounds=v['failed_bounds']) for v in terminal if not v['passed']] + rows.append(dict(candidate=candidate,task=task_id,attempt_id=directory.name, + study_id=request['study']['id'],request_id=envelope['request_id'], + source_commit=request['source']['origin_commit'],source_digest=request['source']['digest'], + scientific_job=envelope['job']['science'],recipe=raw['recipe'],recipe_sha256=stable_hash(raw['recipe']), + task_sha256=stable_hash({k:v for k,v in task.items() if k!='field_ownership'}), + task_binding_sha256=stable_hash(task),verdict=grade['gate_status'],grade=grade, + completed_updates=raw['completed_updates'],full_protocol_complete=raw['default_protocol_complete'], + terminal_passes=sum(v['passed'] for v in terminal),stable_suffix=suffix,metric_observations=len(scoring), + final_metrics=scoring[-1]['metrics'],terminal_metrics=[dict(step=v['step'],passed=v['passed'],metrics=v['metrics']) for v in terminal], + failed_terminal=failed_terminal,failed_bounds=raw['failed_bounds'], + initial_models=raw['reproducibility']['initial_models'],batch_sequence_sha256=raw['reproducibility']['batch_sequence_sha256'], + guards=adapter['evidence']['guards'],prior_policy=adapter['evidence']['prior_policy'], + elapsed_execution_seconds=raw['elapsed_seconds'],runtime=raw['runtime'], + paid_worker_seconds=terminal_receipt['elapsed_seconds'], + raw_directory=str(directory),raw_receipt_sha256=file_hash(raw_path),adapter_receipt_sha256=file_hash(adapter_path), + terminal_receipt_sha256=file_hash(directory/'terminal.json'), + checkpoint_count=len(checkpoints),checkpoint_index_sha256=stable_hash(checkpoints), + terminal_checkpoints=[v for v in checkpoints if v['step'] in {r['step'] for r in terminal}], + gif=gif.relative_to(report).as_posix(),gif_sha256=file_hash(gif),qualification_input=False)) + if not rows: raise ValueError('No complete evidence') + rows.sort(key=lambda v:(v['candidate'],v['task'])) + # Architecture and consumed data law are shared even across the two + # posterior variants. Recipe differences must not perturb these streams. + assert len({v['source_digest'] for v in rows})==1, 'unmatched scientific source' + assert len({stable_hash(v['initial_models']) for v in rows})==1, 'unmatched initial models' + assert len({v['batch_sequence_sha256'] for v in rows})==1, 'unmatched target batches' + for task in {v['task'] for v in rows}: + assert len({v['task_sha256'] for v in rows if v['task']==task})==1, 'unmatched task conditions' + result=dict(schema='vaegan_bispf_coverage_results_v1',goal='vaegan_coverage',seed=0, + qualification_input=False,default_adoption=False,speed_ranking=False, + protocol_sha256=file_hash(report/'protocol.json'), + matched_initial_models=True,matched_target_batches=True,matched_scientific_source=True, + actual_execution_seconds=sum(v['elapsed_execution_seconds'] for v in rows), + paid_worker_seconds=sum(v['paid_worker_seconds'] for v in rows), + reserved_ceiling_seconds=2400,runs=rows) + atomic_json(report/'results.json',result) + lines=['','','| Global recipe | Hard VAEGAN | Categorical VAEGAN | Task passes |', + '| --- | --- | --- | ---: |'] + groups=defaultdict(list) + for row in rows: groups[row['candidate']].append(row) + for candidate,arms in sorted(groups.items(),key=lambda item:(-sum(v['verdict']=='PASS' for v in item[1]),item[0])): + by_mode={v['task']:v for v in arms} + def cell(mode): + v=by_mode[f'model_vae_{mode}'] + return f"[{v['verdict']}]({v['gif']}) ({v['terminal_passes']}/5 terminal; suffix {v['stable_suffix']})" + lines.append(f"| `{candidate}` | {cell('hard')} | {cell('categorical')} | {sum(v['verdict']=='PASS' for v in arms)}/2 |") + lines.extend(['','All measured arms complete 1,200 updates and24 checks; the last five determine', + 'PASS. This table is the single current comparison for `vaegan_coverage`.', + 'Every revision and failure remains in [compact results](results.json).', + 'GPU0 was shared under load; recorded costs supply no speed ranking.','','']) + p=report/'README.md'; text=p.read_text() + start='';end='' + if start in text: + text=text[:text.index(start)]+'\n'.join(lines)+text[text.index(end)+len(end):] + else: text+='\n'+'\n'.join(lines)+'\n' + p.write_text(text) + print(json.dumps(dict(runs=len(rows),outcomes={k:sum(v['verdict']==k for v in rows) for k in ('PASS','FAIL')},execution_seconds=result['actual_execution_seconds']))) + +if __name__=='__main__': + p=argparse.ArgumentParser(description=__doc__);p.add_argument('--queue-root',required=True,type=Path) + export(p.parse_args().queue_root) diff --git a/reports/forge/vaegan-coverage/results.json b/reports/forge/vaegan-coverage/results.json new file mode 100644 index 000000000..652086b94 --- /dev/null +++ b/reports/forge/vaegan-coverage/results.json @@ 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"scientific_results_unchanged": true + }, + "default_adoption": false, + "failures": 4, + "focused_tests": { + "failed": 0, + "passed": 23 + }, + "gif_hashes_verified": 6, + "local_readout_links_verified": true, + "passes": 2, + "qualification_input": false, + "runs": 6, + "sampling_draws_added": 0, + "schema": "vaegan_coverage_publication_verification_v1", + "scorer_controls": { + "failed": 0, + "passed": 14 + }, + "training_updates_added": 0 +} diff --git a/reports/gpt-audit-2026-11-08.md b/reports/gpt-audit-2026-11-08.md new file mode 100644 index 000000000..08f9a189e --- /dev/null +++ b/reports/gpt-audit-2026-11-08.md @@ -0,0 +1,198 @@ +# ParticleGAN scientific and engineering audit — 2026-11-08 + +**Assessment: useful research software with substantial reproducibility infrastructure, but several current benchmark paths do not measure the scientific questions their reports claim. Repair those paths before spending on more formulation search or using the inventory to establish superiority.** The public trainer looks considerably stronger than some of the surrounding experiment and publication code. + +Reviewed `develop` at `528807d4b26db979c8e77d0543d266514c8e14d9`, package version 0.9.7. This is a source and evidence audit, supported by CPU software checks and zero-update diagnostic probes. No new scientific training campaign, seed experiment, GPU work, qualification change, or historical regrading was performed. Findings concern the inspected implementation; they do not retroactively establish how every archived run executed. + +The [technique inventory](forge/technique-inventory.md) remains the single current leaderboard. This report supplies interpretation and a repair order, rather than another ranking. + +## Findings that affect scientific conclusions + +Priority P1 means fix before relying on the affected scientific claim; P2 means address in the next development cycle. Confidence distinguishes directly reproduced behavior from source inspection and methodological assessment. + +| ID | Priority | Finding | Evidence strength | +| --- | --- | --- | --- | +| A1 | P1 | The “neural imputer without ppost” evaluator switches to ppost and bypasses the neural imputer. | Source plus reproduced branch execution | +| A2 | P1 | Some toy hosts solve substantial parts of the task outside the declared recipe updates. | Direct source inspection, including execution call sites | +| A3 | P1 | Formulaic coverage changes recipes and uses EMA sampling under live-scoring declarations. | Source plus reproduced recipe adaptation | +| A4 | P1 | Assisted hosts omit state needed for exact continuation and, in one case, even the same evaluator. | Source plus fresh-object checkpoint probe | +| A5 | P1 | Importing a benchmark silently changes a shared architecture. | Reproduced in a fresh interpreter | +| A6 | P1 | Published binary FAIL counts merge scientific failures with execution and compatibility failures. | Publication, reducer and underlying status ledger | +| A7 | P1 | Calibration is unaccepted, tuning effort is unequal, and several selected recipes have no untuned holdout. | Declared criteria, searches and published evidence | +| A8 | P2 | Shape, horizon and surrogate-gradient rules limit the scope of “one global recipe.” | Source and numerical derivative probe | + +### A1. The neural-imputer test evaluates a different sampler + +The [task declaration](../configs/forge/tasks/misgan_block_neural_imputer.json) explicitly asks for `G_i([x*m, m, z_i])` on ambiguous held-out queries **without ppost**. The [problem page](forge/problems.md#misgan_block_neural_imputer) says all eight selected families pass that question. + +However, [`MisGANNeuralImputerFixture.observe`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_conditionals.py#L2189) checks `_subspace_ready`. When true, its `predict_fn` generates a bank with `ema_G_x`, calls `misgan_ppost_indices(..., sigma=0.005)`, and returns posterior-resampled completions. It never calls `G_i` in that branch. The training helper sets this flag after its completion procedure becomes active. + +I constructed the public fixture without training, set the flag to exercise that exact branch, replaced the neural-imputer forward with a function that would raise, and instrumented ppost. A two-query observation returned draws with shape `[2, 2, 8]`: **one ppost call, zero neural-imputer calls**. The scorer was replaced only to invoke the prediction closure on a small panel; this was a routing check, not a quality measurement. + +**Implication:** passing this path does not demonstrate successful neural imputation without posterior resampling. Preserve the affected receipts and their original identities, but attach a scientific scope correction. Restore a separate evaluator that actually invokes `G_i`; retain posterior resampling as its own declared task. A meaningful regression should fail if the no-ppost evaluator calls ppost, and should demonstrate that damaging `G_i` changes its measured result. + +### A2. Benchmark hosts contain additional training algorithms + +Two particularly consequential examples: + +- [`_apply_scaled_res16_dispersion_step`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_vectors.py#L248) estimates up to 100 cluster centres from real batches, estimates within-cluster spread, resets the generator to its paired identity, and moves prior rows onto a constructed cluster-and-offset arrangement. Late in the run, the interpolation rate becomes **1.0**. It also copies the resulting locations into EMA/averaged tables. Both [`VectorFixture.step`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_vectors.py#L1224) and the [formulaic deep-grid runner](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/ops/formulaic_coverage.py#L364) invoke it after `trainer.step`. +- [`_apply_observed_subspace_step`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_conditionals.py#L1369) performs masked alternating least squares, kernel completion, density-peak extraction and particle placement. Beginning halfway through the declared horizon, it zeros and reconstructs `G_x` and `G_m` weights and overwrites prior tables, followed by EMA replacement. Both MisGAN training loops invoke it after optimizer updates. The code includes task-specific choices such as 100 peaks, a 256-particle allocation and target in-plane sigma `0.019`. + +These algorithms use training observations; the inspected code does **not** justify an accusation of held-out-label leakage. The problem is attribution and ownership. A common auxiliary solver can make every family pass without establishing that their adversarial update rules learned the solution. Direct prior writes also need to obey the recipe's learned/frozen policy. + +**Recommendation:** describe existing measurements as assisted-host results wherever applicable. Move reusable update mechanisms into explicitly declared recipe capabilities or give the assisted task a separate identity. Keep an unassisted control, and declare the solver's data access, computation and horizon dependence. Do not use the eight-family PASS on the scaled grid as evidence that ordinary deep GAN optimization has been solved. + +### A3. “Unchanged selected recipe” is not an accurate contract for every coverage cell + +[`adapt_candidate_for_task`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/ops/formulaic_coverage.py#L106) changes E22's prior mechanism to particles plus a `NormalNoiseManipulator`, disables its critic guard settings, and changes output-noise policy. It also forces input/output training noise off on DDGAN and stretch-fixture tasks. The [fixture runner](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/ops/formulaic_coverage.py#L435) again replaces noise settings when binding the recipe. These are training-mechanism changes, beyond task-owned architecture and resource bindings. A dry adaptation of the E22 card reproduced these deltas. + +Separately, [MisGAN recovery observation](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_conditionals.py#L1898) samples `ema_prior_x` through `ema_G_x`; neural-imputer observation likewise selects EMA objects. Their Forge cards declare `public_prior_without_output_noise`, and the screening protocol requires live weights. During the overwrite phase some EMA and live objects are deliberately made equal, but that does not establish a general live-sampling contract. `_schedule_recipe` also substitutes a KA2 schedule for stationarity/continuous recipes in this host. + +The [formulaic result payload](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/ops/formulaic_coverage.py#L588) records family/candidate labels, outcomes, metrics and duration, but does not include the complete resolved recipe or actual observed serving law. + +**Recommendation:** require the same resolved recipe and sampling witnesses used by ordinary Forge admission on every comparison path. Necessary adaptations should receive explicit candidate/task identities and deltas. Publish their results as those adaptations; do not transfer them into the original selected recipe's claimed common-contract comparison. + +### A4. Some checkpoint contracts omit behavior-changing state + +The MisGAN providers' [`state_dict` / `load_state_dict`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_conditionals.py#L2250) omit data, latent and noise generator states; the completion cache and `_subspace_ready`; and actual EMA generator/prior histories. Loading reconstructs EMA objects from live weights instead of restoring their saved averages. + +The fresh-object probe confirmed that a saved fixture with `_subspace_ready=True` reloads with the flag false. By A1, this changes the evaluator from posterior resampling to neural inference. This is a behavioral change on reload, before any further training. + +The scaled-grid helper stores its cluster buffers, centres, spread estimate and offsets in `trainer._scaled_res16_emp_state`. Neither [`VectorFixture.state_dict`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_vectors.py#L1313) nor [`GANTrainer.state_dict`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/particlegan/training.py#L654) includes that helper state. A restart can therefore discard the history that determines later particle placement. This latter continuation consequence is inferred from the missing state; I did not run a full-budget restart comparison. + +**Recommendation:** version complete host checkpoints and validate them before mutation. Test continuation in a newly constructed fixture, including immediately before and after auxiliary mechanisms activate. Compare next data/latent draws, predictions, serving selection and full state. Same-object terminal reloads cannot detect absent fields that remain attached to the old object. Keep older receipts pinned to their original contracts. + +### A5. Import order changes the architecture under test + +[`api_vectors.py`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_vectors.py#L437) assigns: + +```python +SimpleMLPGenerator = ScaledSimpleMLPGenerator +lib.toy_models.SimpleMLPGenerator = ScaledSimpleMLPGenerator +``` + +The replacement enables LayerNorm by default for depth ≥16. In a fresh interpreter, constructing `lib.toy_models.SimpleMLPGenerator(2, 128, 16, 2)` before this import produced **zero LayerNorm layers**; constructing it afterwards produced **16**. Callers that captured the original class earlier retain it, so process import order selects the architecture. + +The [problem description](forge/problems.md#grid100_mlp16) calls this an unnormalized 16-layer stress test. A normalization repair is a useful distinct cohort, but cannot silently become that original test. `ResidualMLPGenerator` is also aliased to the scaled implementation, which warrants a corresponding declared-architecture check. + +**Recommendation:** remove process-wide benchmark monkeypatches. Use explicit factories and separately named task variants. Bind the actual module tree and parameter/buffer shapes to the task's architecture witness. Test construction in separate interpreters with both import orders. + +### A6. Binary publication loses information needed to diagnose failures + +The [inventory](forge/technique-inventory.md#reading-the-results) explicitly counts constructor refusals, dependency blocks and other non-passing outcomes as binary FAIL. The [publication code](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/reports/forge/regenerate_technique_inventory.py#L3453) implements that display policy. Elsewhere, the [problem list](forge/problems.md) and glossary distinguish these from numerical failures. + +The underlying [attempt ledger](forge/attempt-coverage.json) still has 174 BLOCKED, 9 ERROR, 3 INCOMPLETE and 19 TIMEOUT records, alongside 457 FAIL and 385 PASS, across 1,047 attempted recipe/test pairs. Those are different causes and scopes, not a pooled performance estimate. “Attempted every cell” does not mean “measured every numerical gate.” + +The selected table's **115 view requirements represent only 36 distinct tests**. Repeating a test across views is legitimate policy accounting, but supplies no extra scientific replication. Diagnostic projections, source-bound ordinary readouts and historical qualifications also answer different questions, even when displayed together. + +**Recommendation:** retain a conservative binary eligibility field, but label its negative value “not satisfied” or “not qualified.” Alongside it, display the original scientific/operational status and denominator of actual numerical measurements. Lead comparisons with distinct tasks, compatible cohorts and attained qualified tier; keep repeated view totals as policy detail. Make generator templates enforce the same terminology as the glossary. + +### A7. The current evidence supports research selection, not general superiority + +There are good safeguards: the [frozen calibration criteria](../configs/forge/calibration/criteria-v1.json) require compatible positive/negative references, bounded false acceptance/rejection, complete costs and a sufficiently cheap screen. The [calibration protocol](forge/CURRENT_CALIBRATION_PROTOCOL.md) states that adoption remains unaccepted. Preserve that standard. + +The inventory additionally reports no untuned holdout for the selected searched K3P, KA2, R1/R2 and release-0.7 recipes: selection used Tier ≤3. It reports markedly unequal development effort, including **85 registered BCAP searches / 175 grid configurations and 473 declared candidate cards**, versus 11 BISPF cards and one E22 card. Absence of a registered search does not mean a method was never developed against the benchmark. + +The [earlier evidence review](forge/WHAT_WORKED_REVIEW_20261015.md) already documents ranking changes caused by task redesign, acquisition/hold splits and horizon choices. The [Modern GAN baseline readout](forge/R3GAN_BASELINE_READOUT.md) correctly limits its short direct-particle failure; it does not reproduce that paper's image convergence claim. A screen that favors fast particle movement may reject useful slower trainers. + +**Recommendation:** freeze a small claim-specific confirmation set of previously unused tasks/data laws before selecting the next recipe, with equal prospective tuning budgets and one global configuration. Do not call another sample of the same tuned synthetic distribution a task-level holdout. Calibrate a feasible new profile using declared gates and budgets; do not fill an already infeasible matrix or relax it retrospectively. Under the repository rule, do not launch seed-only experiments. Any later robustness stage remains subject to the existing preregistered promotion prerequisites and explicit authorization. + +### A8. Architecture, surrogate gradients and automatic gates need narrower claims + +[`BISPFGates`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/particlegan/_bispf/gates.py) declares substantial shape- and call-count-dependent behavior: the automatic categorical boundary is width 170, continuous-flow behavior starts after 500 penalty calls, dense multimode behavior after 1,000, and a late two-dimensional thermal rule after 1,650. A single configuration can legitimately contain these rules, but this is a composite method whose transfer across dimensions, batch sizes and horizons needs evidence. Constant learning rate alone does not establish clock invariance. The [explicit input-domain API](../docs/bispf-input-domains.md) is a useful improvement over guessing semantics from width. + +[`TanhRailGuard.backward`](https://github.com/255BITS/ParticleGAN/blob/528807d4b26db979c8e77d0543d266514c8e14d9/benchmarks/toy_audit/api_vectors.py#L77) clips the upstream gradient, injects a restoring term, and divides the chain-rule term by the output scale. Its backward is a surrogate update rule rather than the derivative of its forward. The zero-update float64 probe measured: + +| Input `u` | Autograd derivative | Central finite difference (`h=1e-6`) | Gradient with zero upstream signal | +| ---: | ---: | ---: | ---: | +| 1 | 0.1837293 | 0.9645787 | 0 | +| 10 | 0.3960656 | 0.0555347 | 0.3854875 | + +This may be intentional stabilization, but it supplies an additional optimization mechanism. Its effect should not be attributed solely to normalization, ordinary tanh, or the compared trainer. If an exact derivative is intended, the probe demonstrates a defect; if a surrogate is intended, name and version it accordingly and test the intended update law. + +## What is already good + +- **The public core has meaningful engineering contracts.** `GANTrainer` separates sampling from training streams, validates checkpoint compatibility, saves independent state, and rejects several incompatible configurations. The public deterministic initializer and named streams provide a useful foundation for matched comparisons. +- **Forge preserves unusually detailed negative evidence.** Source/runtime/task identities, immutable declarations, explicit budgets, continuation parents, concluded readouts and archive receipts are valuable. The remaining issues are enforcement gaps in particular execution paths, rather than a reason to discard the framework. +- **Metrics are substantially better than judging animations.** Mode mass, precision, covariance, distribution shape, sustained terminal checks, paired reconstruction and frozen adaptation controls ask distinct questions. Oracle samplers and constructive witnesses distinguish metric feasibility and model capacity from successful training. Keep GIFs as illustrations of actual observed training. +- **The reporting is often candid.** The README calls BISPF a research default; its displayed 100-Gaussian failure is labelled FAIL. The prior study preserves negative results and does not claim a resolved image-scale effect. The optimization readout distinguishes a faster polynomial update from exact SVD equivalence. +- **Release engineering has real checks.** CI builds wheels, imports installed packages outside the checkout, checks base dependencies separately, verifies nonoverlapping test shards and publishes tested distributions through Trusted Publishing. + +## Engineering improvements beyond the scientific blockers + +**Reduce the maintenance surface around the core.** The inspected tree has 70 library Python files / 21,832 lines, 121 Forge Python files / 42,675 lines, and 512 test Python files / 113,496 lines. There are also 2,457 Python files / 620,218 lines under reports, including frozen source reproductions. These counts are scope measurements, not quality scores. In particular, the publication wrapper is 5,371 lines and tests import it from suite-wide `conftest.py`. Separate active publication logic, experiment execution and frozen replay support into explicit modules and test groups. Preserve archived bytes and identities while doing so. + +**Make critical lint classes strict.** The current lint check passes against a baseline of 302 findings, including 3 F821 and 93 F811 findings. Some may be intentional fixtures or static-analysis limitations; they are not all demonstrated runtime defects. Review undefined-name/redefinition cases individually and keep any exemptions local and justified. A green baseline proves no drift, not a clean codebase. Add semantic tests for A1–A5 rather than relying on more assertion-count or publication-snapshot coverage. + +**Separate supported dependency ranges from tested environments.** Metadata allows Torch `>=2.6,<3`; ordinary CI installs the current satisfying version rather than exercising that minimum. Python 3.11 runs only one deterministic quarter of the suite, while Python 3.12 covers all four shards. Add a small minimum-dependency public-API job and a complete minimum-Python job when practical. Preserve resolved environments, Torch build/BLAS details and CPU dispatch settings with reproducible scientific artifacts; the legacy toy workflow already demonstrates why hardware arithmetic matters. Keep a separately admitted CUDA software check for CUDA-specific fast paths, since ordinary CPU CI deselects those tests. + +**Finish adoption metadata.** The README says MIT, but there is no root license file or project license declaration in `pyproject.toml`. Add the intended license text and package metadata, then verify the built distributions include it. This is an adoption/documentation gap, not a legal assessment. + +**Regenerate explanations from the same evidence as tables.** README's explicitly dated October counts and the problem page's October passer narratives coexist with November tables. For example, the ring-extension narrative describes the selected BISPF cell as unmeasured, while its adjacent selected-result table displays PASS. Preserve dated historical analysis, but label it locally and generate current summaries from the same source-bound records. Also explain prominently that retained-publication freshness and current-source measurement freshness are separate. + +The standing [develop → master PR #528](https://github.com/255BITS/ParticleGAN/pull/528) exists and includes the required link to the current develop inventory. No PR change was necessary. + +## Experiment interpretation and recommended order of work + +The most useful causal result is the [2026-10-25 matched prior ablation](prior-ablation-2026-10-25/README.md). Among the 15 tasks graded in all three prior arms, learned particles pass 7 versus 5 for each control. Ring16 high-quality fraction is 0.95 learned, 0.61 frozen and 0.53 fresh Gaussian. That supports a **scoped seed-0 toy precision benefit**. The decisive mode-count passes have zero slack and no recorded noise floor, so the pass-count difference needs more careful evaluation uncertainty analysis. + +The same report's CIFAR FID50k values, 79.7 / 108.5 / 82.7, are single final EMA measurements. It documents much larger training/checkpoint variation and explicitly leaves the image-scale ordering unresolved. Evaluation repeats can measure conditional sampling uncertainty; checkpoint fluctuations and repeated evaluation are not independent estimates of training variability. Use the result to narrow the claim, not to promise a general image-quality advantage. + +Recommended sequence: + +1. **Repair measurement and attribution first.** Resolve A1–A5 with small software controls, no new full-budget search. Preserve old receipts and annotate affected claims. Exit condition: actual sampler, actual recipe, actual architecture and complete fresh-process restoration agree with their declarations. +2. **Repair the single publication.** Retain operational statuses, show distinct-task coverage and separate qualified results from diagnostic projections. Exit condition: each headline count traces to compatible evidence and readers can tell why a cell did not pass without opening raw logs. +3. **Finish a feasible calibration design and task-level confirmation split.** Query Forge recall before a new hypothesis, use seed 0 and the public initializer, keep task conditions fixed, declare the recipe delta and budget, and stop on the frozen rules. Exit condition: an accepted compatible calibration report and a frozen independent confirmation question, rather than another best-observed count. +4. **Pursue one bounded mechanism question.** Use saved-state diagnostics to choose between the unresolved acquisition/precision, settling or recovery failure, instead of combining several repairs. Hold out the confirmation tasks from selection. Report terminal margins, all required regressions and actual compute. No experiment is registered or authorized by this audit. +5. **Demonstrate a useful user workload.** After the measurement repairs, prioritize one realistic dataset/workflow with a credible matched baseline, fixed training budget, fidelity and coverage metrics, memory/throughput, and a clean reproduction command. For a research paper, the burden is causal and external validity; for a library release, it is reliable behavior, compatibility and a scoped useful example. Either would be more valuable than expanding the toy count alone. + +Keep the current BISPF research default unless a replacement meets the declared adoption process. Atlas's higher observed full-suite pass count and BISPF's stronger counted-view projection answer different, currently confounded questions; neither establishes a universal winner. + +## Verification and limits + +Fresh local environment: Python 3.12.14, Torch 2.14.0+cu130; checks ran with CUDA hidden and one Torch/BLAS thread. The shell's default Python lacked Torch; all substantive checks used `.venv/bin/python`. + +| Check performed during this audit | Outcome | +| --- | --- | +| Focused CPU tests: trainer, initializer, BISPF, declared gates, input domains, decision contracts, calibration/feasibility, promotion, shard checks, lint gate and leaderboard index | **340 passed, 1 CUDA test deselected, 24.80 s** | +| Broad CPU suite prefix | **319 passed, 504 deselected**, then deliberately interrupted after 208.80 s; not a completed suite result | +| `python -m experiments.forge validate` | Exit 0 | +| `python -m experiments.forge compile --check` and recall freshness | CURRENT; 886 records, 501 publication records, 11,823 catalog inputs | +| `python scripts/check_lint.py` | Exit 0 against the 302-finding baseline | +| `python -m pip check` | No broken requirements | +| `python ops/refresh_forge_readouts.py --check --reports-only` | Retained publications CURRENT; current-source measurements separately NEEDS_REFRESH for scaling performance | +| Zero-update probes | Reproduced A1's sampler bypass, A3's E22 adaptation, A4's lost serving flag, A5's import mutation, and A8's surrogate derivative | + +The [existing CI run for the audited HEAD](https://github.com/255BITS/ParticleGAN/actions/runs/42427507110) was completed successfully when inspected through GitHub CLI. That is existing remote evidence, distinct from this audit's local runs. The two local pytest counts above are separate checks, not a claimed complete or deduplicated test count. + +Local raw logs remain outside Git under `runs/software/gpt-audit-2026-11-08/`: `focused-pytest.log`, `pytest.log`, `validate.log`, `memory.log`, `readouts.log`, `lint.log`, `dependencies.log`, `numerical-probes.log`, `host-probes.log`, and `import-probe.log`. Tail with: + +```bash +tail -F runs/software/gpt-audit-2026-11-08/focused-pytest.log +``` + +For a compact independent reproduction of two numerical/source checks, run from the audited checkout: + +```bash +CUDA_VISIBLE_DEVICES='' OMP_NUM_THREADS=1 MKL_NUM_THREADS=1 .venv/bin/python - <<'PY' +import torch +import lib.toy_models as models +before = models.SimpleMLPGenerator(2, 128, 16, 2) +from benchmarks.toy_audit.api_vectors import TanhRailGuard +after = models.SimpleMLPGenerator(2, 128, 16, 2) +print('LayerNorm before/after import:', *[ + sum(isinstance(m, torch.nn.LayerNorm) for m in g.modules()) + for g in (before, after)]) +for value in (1., 10.): + u = torch.tensor(value, dtype=torch.float64, requires_grad=True) + y = TanhRailGuard.apply(u) + derivative = torch.autograd.grad(y, u, retain_graph=True)[0] + h = 1e-6 + finite = (TanhRailGuard.apply(u.detach()+h) + - TanhRailGuard.apply(u.detach()-h)) / (2*h) + zero = torch.autograd.grad(y*0, u)[0] + print(value, float(derivative), float(finite), float(zero)) +PY +``` + +This audit sampled active library, host, evaluator, checkpoint and publication paths; it is not an exhaustive proof of numerical correctness or a replay of historical studies. No judgment here depends on viewing generated images. The strongest recommendation follows directly from the reproduced contract mismatches: establish that each experiment measures its declared question before seeking a better score. diff --git a/reports/gpt-audit-remediation-2026-11-08.md b/reports/gpt-audit-remediation-2026-11-08.md new file mode 100644 index 000000000..d11b220e0 --- /dev/null +++ b/reports/gpt-audit-remediation-2026-11-08.md @@ -0,0 +1,67 @@ +# Scientific-contract audit remediation — 2026-11-08 + +This follows the [source-pinned audit](gpt-audit-2026-11-08.md). The governing rule is now explicit in [AGENTS.md](../AGENTS.md): **a faithful numerical FAIL is better evidence than a PASS obtained by changing the formula.** The work repairs experiment implementation, evidence attribution and software checks. It does not claim that previously failing distributions now converge. + +The [technique inventory](forge/technique-inventory.md) remains the single current leaderboard. Its scientific and operational outcomes must be read separately: a numerical FAIL, an unsupported recipe, an execution error and an unmeasured task are different facts. + +## Changes + +| Audit finding | Repair | PR | +| --- | --- | --- | +| A1: neural-imputer evaluator bypass | The neural question calls live `G_i`; posterior resampling is forbidden in that evaluator. The actual predictor and clean/live sampling law are recorded. | [#532](https://github.com/255BITS/ParticleGAN/pull/532) | +| A2: task-specific training repairs | Removed empirical grid cluster fitting/particle placement, generator resets, MisGAN subspace weight/prior reconstruction and the undeclared imputer diversity loss. Optimizer updates are no longer followed by these additional solvers. | [#529](https://github.com/255BITS/ParticleGAN/pull/529), [#532](https://github.com/255BITS/ParticleGAN/pull/532) | +| A3: recipe and sampling substitutions | Retired the alternate formulaic coverage executor and its loose result harvesting. Unsupported intact mechanisms refuse execution. Fixed active providers' discovered recipe/sampling mismatches instead of choosing replacements that pass. | [#530](https://github.com/255BITS/ParticleGAN/pull/530), [#529](https://github.com/255BITS/ParticleGAN/pull/529), [#532](https://github.com/255BITS/ParticleGAN/pull/532) | +| A4: incomplete continuation | Versioned complete checkpoints for supported owners, including RNGs, actual EMA histories, critic/penalty histories and regularizer references. Caller-owned loops lacking complete restoration explicitly refuse continuation. Fresh-object continuation is checked; incomplete historical states require their original source. Removed auxiliary solvers no longer create uncheckpointed caches. | [#529](https://github.com/255BITS/ParticleGAN/pull/529), [#532](https://github.com/255BITS/ParticleGAN/pull/532) | +| A5: import-dependent architecture | Removed the shared model monkeypatch. Original unnormalized, unscaled residual, and explicitly scaled/normalized task architectures have distinct factories and metadata. | [#529](https://github.com/255BITS/ParticleGAN/pull/529) | +| A6: status and evidence conflation | Removed the score overlay that replaced exact selected-cohort evidence with diagnostic coverage and imputed numerical FAIL. Source-bound corrections preserve affected observations while excluding them from the formula-faithful comparison. | [#531](https://github.com/255BITS/ParticleGAN/pull/531) | +| A7: unsupported scientific ranking | Retain provisional calibration, unequal tuning budgets and missing independent confirmation explicitly. Current-source measurement checks cannot borrow family/task-only diagnostic results. No accepted calibration or confirmation result was manufactured. | [#531](https://github.com/255BITS/ParticleGAN/pull/531), [AGENTS.md](../AGENTS.md) | +| A8: undeclared surrogate update | The bounded tanh head uses the exact automatic derivative of its forward map, without clipping the upstream gradient or injecting a restoring force. Declared BISPF shape/call-count rules remain part of that recipe; this repair does not silently redefine BISPF. | [#529](https://github.com/255BITS/ParticleGAN/pull/529) | +| Engineering followups | Added MIT distribution metadata, complete Python 3.11/3.12 test sharding and an actual minimum-dependency installed-wheel continuation check. Undefined-name findings cannot be accepted by updating the lint baseline. | [#533](https://github.com/255BITS/ParticleGAN/pull/533) | +| Prospective measurement provenance | Future supported runs emit actual execution witnesses and certified per-attempt coverage exports. Missing or incompatible recipe, initialization, runtime, sampling or serving observations remain gaps; numerical grades are unchanged. | [#534](https://github.com/255BITS/ParticleGAN/pull/534) | +| Continuation and prior-law followups | Complete versioned BiGAN/ALICE checkpoints, independent loaded MisGAN snapshots, and task-owned Gaussian/ring MoG declarations. Unsupported manual-host mechanisms refuse execution; noise-free bounded software cohorts remain separate from the original questions. | [#535](https://github.com/255BITS/ParticleGAN/pull/535) | + +## Evidence and compatibility + +Old receipts, checkpoints and recorded qualifications retain their original source and execution identities. The [correction registry](forge/evidence-corrections-2026-11-08.json) identifies inspected assisted/adapted coverage observations by exact scientific key and original-record digest. It does not rewrite a stored numerical PASS as a FAIL. It explains why that observation cannot establish the formula or question now being compared. Corrected-source execution has a different identity and cannot inherit an old pass. + +Public-API vector and MisGAN checkpoint versions change where the old implementation or saved state cannot provide exact continuation. An old checkpoint must be resumed with its pinned original implementation. Unsupported host mechanisms are reported before training rather than dropped from a recipe. + +Caller-owned vector paths without a complete restore owner explicitly export diagnostic-only state and refuse a required checkpoint capability. They cannot present that artifact as a resumable checkpoint. MisGAN standalone particle-cloud storage and its normal-noise transform are declared separately from a positive-width MoG case; supplied priors must match the actual task law and initialization. + +Archived critic-balance and generator-step coordinator checks load the exact original eight task cards with source/blob/digest provenance. Their bounded current-API optimizer controls are explicit separate software cohorts. The active family-search resolver follows the same recipe ownership as the executed vector provider; it no longer reports hidden task-specific trainer overrides as the resolved recipe. Frozen coordinator sources and scientific evidence pins are preserved. + +Followup adversarial controls require fresh-object continuation without manually transferring RNGs and verify that later training cannot mutate the input checkpoint. BiGAN/ALICE hosts refuse declared mechanisms they cannot execute before constructing optimizers. Their supported noise-free software cohorts establish continuation behavior only. Moving task-owned MoG fields into the prior declaration preserves the Gaussian/ring target protocol while keeping trainer-specific tuning removed; a transformed particle cloud is not silently substituted for a required MoG. + +The retired runner cannot be revived by `--force`, a direct task call or an internal batch spec. New research measurements require normal frozen Forge study admission, the declared protocol and budgets. A publication refresh reads retained evidence and adds no training. Retained-publication integrity and current-source measurement coverage have separate status fields. + +The new controls test the scientific boundary, rather than just exercising a successful code path: damaging the measured neural imputer changes its predictions; its evaluator cannot call ppost; disabling an optimizer prevents hidden model/prior writes; importing providers cannot change a shared architecture; automatic derivatives match finite differences and a zero upstream signal; and fresh-object continuation preserves complete owned state. Software prefixes and constructive/oracle controls confer no full-budget learned-quality credit. + +For lint, three control-flow false positives in frozen reproduction sources are exempted only by exact path, message and source SHA-256. Their source bytes are preserved. The remaining reviewed redefinitions are imported pytest fixtures, not blanket permission for new redefinitions. The engineering PR reduces the reviewed baseline from 302 to 297 findings; integration removes three further resolved unused-import exemptions (294 remain). + +## Remaining scientific questions + +These repairs do not supply a winning global recipe, accepted screen calibration, an untouched task-level confirmation result or an image-scale advantage from learned particles. Those remain research questions. The earlier matched prior ablation retains its original scoped seed-0 toy precision result and unresolved CIFAR ordering; the repair does not extend either conclusion. + +Before new formulation work, query Forge recall, check the unresolved problems, preregister one substantive recipe delta with an explicit control and finite budget, and retain every required regression. Keep task architecture, initial prior law, data sequence, sampling, budget and evaluation cadence fixed across candidates. Do not run seed-only searches or tune against a confirmation task after seeing its result. + +## Software verification + +The integrated CPU checks used Python 3.12.14 / Torch 2.14.0+cu130 with CUDA hidden and one Torch/BLAS thread. The local scopes overlap and must not be added as independent observations. + +| Integrated check | Result | +| --- | --- | +| Core recipe, initializer, gate and admission contracts | 268 passed; 1 CUDA test deselected | +| Vector/MisGAN providers and public-API contracts after final provider fixes | 210 passed | +| Publication, exact producer verification and generated navigation | 34 passed | +| Final producer emission, consumer acceptance and interpreter-coverage policy | 69 passed | +| Archived coordinator boundaries and current family-search recipe ownership | 341 passed | +| Integrated adversarial and MisGAN continuation/snapshot controls | 111 passed | +| BiGAN/ALICE checkpoint, activation-boundary and task-law controls | 55 passed | +| Model source-admission controls | 39 passed; 5 CUDA tests deselected | +| Bounded BiGAN/ALICE CUDA continuation | Exact next update, full state, all seven streams and independent input snapshots passed on RTX A6000 | +| Minimum base installed-wheel continuation | Passed in isolated Python 3.11.16 / Torch 2.6.0+cpu / NumPy 1.26.0 | +| Reviewed lint baseline | Current; 294 findings, no additions; new undefined names cannot be baselined | + +Full interpreter, packaging and collection-coverage results are GitHub checks on the integration PR. Raw software verification logs stay under the ignored local directory `runs/software/audit-repairs-2026-11-08/`. Component PR descriptions retain their own exact validation scopes. These are software checks, not new learned-quality qualifications or evidence of accepted calibration. + +The CUDA control used the explicit noise-free K3P software cohort (batch 16, 32 particles, seed 0), Torch 2.14.0 / CUDA 13.0 on RTX A6000. Deterministic algorithms were enabled and TF32 disabled. It checked both BiGAN and ALICE across deliberate advances of every named stream, fresh restoration and the next update; CPU/CUDA global RNGs remained unchanged. It grants no learned-quality or original-task qualification credit. diff --git a/reports/leaderboard-index.json b/reports/leaderboard-index.json index 77cab5aa8..f0bcd76a7 100644 --- a/reports/leaderboard-index.json +++ b/reports/leaderboard-index.json @@ -320,6 +320,21 @@ "goal": "api-toy-contract", "current": "reports/toy_audit/api_contract/LEADERBOARD.md", "description": "Sorted results of the public-API toy test contract registry." + }, + { + "goal": "ddgan-conditional-repair-v1", + "current": "reports/forge/leaderboards/ddgan_conditional_repair.md", + "description": "Scoped strict DDGAN conditional repair study; archived negative results, no default promotion." + }, + { + "goal": "vaegan_coverage", + "current": "reports/forge/leaderboards/vaegan_coverage.md", + "description": "Scoped hard/categorical VAEGAN coverage study under the original source and protocol." + }, + { + "goal": "misgan-bispf-research-v1", + "current": "reports/forge/misgan-bispf/LEADERBOARD.md", + "description": "Scoped four-mode MisGAN recovery and neural imputation study; original 100-mode tasks stay separate." } ], "not_leaderboards": [ diff --git a/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-amortized-v1.gif b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-amortized-v1.gif new file mode 100644 index 000000000..54838e129 Binary files /dev/null and b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-amortized-v1.gif differ diff --git a/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-observed-v1.gif b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-observed-v1.gif new file mode 100644 index 000000000..7b7230db7 Binary files /dev/null and b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-observed-v1.gif differ diff --git a/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif new file mode 100644 index 000000000..782d69346 Binary files /dev/null and b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-misgan-transport-settle-v1.gif differ diff --git a/reports/toy_audit/api_contract/misgan_bispf/media/bispf-optimized-quintic-v1.gif b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-optimized-quintic-v1.gif new file mode 100644 index 000000000..a831a5fc6 Binary files /dev/null and b/reports/toy_audit/api_contract/misgan_bispf/media/bispf-optimized-quintic-v1.gif differ diff --git a/reports/toy_audit/api_contract/misgan_bispf/publication.json b/reports/toy_audit/api_contract/misgan_bispf/publication.json new file mode 100644 index 000000000..d52d0a320 --- /dev/null +++ b/reports/toy_audit/api_contract/misgan_bispf/publication.json @@ -0,0 +1,461 @@ +{ + "schema": "forge_misgan_research_v1", + "qualification_input": false, + "cases": [ + { + "adaptation": "New identifiable target, affine generator, categorical mask support learned from observed masks, and neural categorical amortizer; no complete real data reaches training.", + "batch_size": 256, + "default_recipe": "bispf-optimized-quintic-v1", + "default_steps": 1200, + "eval_samples": 4096, + "evaluation_observations": 24, + "forge_thresholds": [ + [ + "modes", + ">=", + 4 + ], + [ + "hq", + ">=", + 0.9 + ], + [ + "mass_tv", + "<=", + 0.1 + ], + [ + "off_plane", + "<=", + 0.04 + ], + [ + "mask_tv", + "<=", + 0.05 + ], + [ + "imputer_observed_error", + "<=", + 1e-06 + ], + [ + "imputer_accuracy", + ">=", + 0.94 + ], + [ + "ambiguous_hq", + ">=", + 0.9 + ], + [ + "ambiguous_mass_tv", + "<=", + 0.12 + ], + [ + "ambiguous_query_coverage", + ">=", + 0.9 + ], + [ + "ambiguous_std_ratio", + ">=", + 0.7 + ], + [ + "ambiguous_std_ratio", + "<=", + 1.3 + ] + ], + "goal": "Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass.", + "host_definition": { + "architecture": { + "critics": "64_64", + "generator": "affine_2_to_8", + "imputer": "16_64_64_64_neural_logits", + "mask": "categorical4_linear1" + }, + "batch_size": 256, + "case_id": "api-model-misgan-four-mode", + "init_std": 0.5, + "num_particles": 64, + "provider": "benchmarks.toy_audit.api_model_misgan", + "recipe_fields": { + "conditioning": "scalar", + "encoder_mode": "none", + "model": "gan", + "observation_sigma": 0.08, + "reconstruction_weight": 1.0 + }, + "resources": { + "batch_size": 256, + "num_particles": 64, + "z_dim": 2 + }, + "target": { + "kind": "four_corner_hadamard8", + "masses": [ + 0.25, + 0.25, + 0.25, + 0.25 + ], + "means": [ + [ + -1.0, + -1.0 + ], + [ + -1.0, + 1.0 + ], + [ + 1.0, + -1.0 + ], + [ + 1.0, + 1.0 + ] + ], + "sigma": 0.08 + }, + "z_dim": 2 + }, + "id": "api-model-misgan-four-mode", + "kind": "vector", + "legacy_ids": [ + "pr196-block-recovery", + "pr196-block-neural-imputer" + ], + "protocol_seed": 0, + "provider": "api_model_misgan", + "sampling": "Clean live learned MoG64 R2 sigma=.025 -> learned affine 8D G_x; learned four-pattern categorical G_m. G_i neural logits on x*m,m sample a component and independent MoG noise through G_x; no component distances, ppost or oracle at inference.", + "scope": "Explicit four-corner sigma=.08 target with a fixed Hadamard 8x2 lift. Same four block masks and masses as original MisGAN; sensor7 sees x+y, leaving two equally probable branches at zero. Original 100-mode MLP questions remain unchanged.", + "terminal_observations": 5, + "thresholds": [ + [ + "modes", + ">=", + 4 + ], + [ + "hq", + ">=", + 0.9 + ], + [ + "mass_tv", + "<=", + 0.1 + ], + [ + "off_plane", + "<=", + 0.04 + ], + [ + "mask_tv", + "<=", + 0.05 + ], + [ + "imputer_observed_error", + "<=", + 1e-06 + ], + [ + "imputer_accuracy", + ">=", + 0.94 + ], + [ + "ambiguous_hq", + ">=", + 0.9 + ], + [ + "ambiguous_mass_tv", + "<=", + 0.12 + ], + [ + "ambiguous_query_coverage", + ">=", + 0.9 + ], + [ + "ambiguous_std_ratio", + ">=", + 0.7 + ], + [ + "ambiguous_std_ratio", + "<=", + 1.3 + ] + ], + "title": "MisGAN: incomplete four-mode recovery and neural multimodal imputation" + } + ], + "readouts": [ + { + "id": "api-model-misgan-four-mode", + "goal": "Learn an 8D four-mode complete distribution and the block-mask law using only incomplete rows, then learn a stochastic neural imputer whose held-out single-sensor queries cover both ambiguous branches with correct mass.", + "scope": "Explicit four-corner sigma=.08 target with a fixed Hadamard 8x2 lift. Same four block masks and masses as original MisGAN; sensor7 sees x+y, leaving two equally probable branches at zero. Original 100-mode MLP questions remain unchanged. Absolute task-owned MoG sigma=.025; relative calibration is bypassed. Recommended scoped recipe: bispf-misgan-transport-settle-v1", + "execution_status": "COMPLETE", + "verdict": "PASS", + "completed_updates": 1200, + "default_updates": 1200, + "failed_bounds": [], + "source_commit": "21efa29ae0adabfd30eb4753f1276242370c55ed", + "final_metrics": { + "ambiguous_hq": 0.937255859375, + "ambiguous_mass_tv": 0.078125, + "ambiguous_query_coverage": 1.0, + "ambiguous_std_ratio": 0.9620333313941956, + "hq": 0.989013671875, + "imputer_accuracy": 0.97265625, + "imputer_observed_error": 0.0, + "mask_tv": 0.010595705360174179, + "mass_tv": 0.093994140625, + "modes": 4, + "off_plane": 0.0029731420800089836 + }, + "gif": "media/bispf-misgan-transport-settle-v1.gif" + } + ], + "runs": [ + { + "id": "api-model-misgan-four-mode", + "candidate_id": "bispf-misgan-transport-settle-v1", + "recipe": { + "alpha_bar": [ + 1.0, + 0.9, + 0.5, + 0.05, + 0.0001 + ], + "amsgrad": false, + "batch_size": 256, + "betas": [ + 0.0, + 0.999 + ], + "birth_death_feature_scale": "none", + "birth_death_isolation": false, + "birth_death_space": "data", + "conditioning": "scalar", + "constraint_geometry_mode": "direction_blend", + "continuous_policy": null, + "critic_formulation": "bispf", + "critic_payoff_damping": true, + "critic_r1_real": true, + "d_guard_min_steps": 200, + "d_guard_ratio": 0.0, + "d_lr_mult": 1.5, + "direct_particle_betas": [ + 0.0, + 0.9 + ], + "direct_particle_gain": false, + "distance_reduction": "sum", + "ema_decay": 0.0, + "encoder_mode": "none", + "imputer_component_weight": 5.0, + "input_noise_anneal_end": 0.1, + "input_noise_std": 0.0, + "latent_damping_max_rate": 0.0, + "loss": "non_saturating", + "lr": 0.012, + "lr_anneal_start": 0.0, + "lr_control": "mobility", + "lr_floor": 0.05, + "masked_transport_weight": 1.0, + "model": "gan", + "name": "bispf", + "network_lr_floor": 0.05, + "network_lr_horizon_cap": null, + "num_classes": null, + "num_particles": 64, + "observation_sigma": 0.08, + "optimizer_convolution": "per_offset", + "optimizer_convolution_rule": "quintic", + "optimizer_family": "dualnorm", + "optimizer_smoothing": 0.001, + "output_noise_mode": "fixed", + "output_noise_std": 0.0, + "output_noise_warmup": 0.0, + "particle_birth_death": false, + "prior_betas": null, + "prior_kind": "mog", + "prior_lr_mult": 2.5, + "prior_reg": 0.01, + "prior_regularizer": "sbnp", + "reconstruction_weight": 1.0, + "reg_anchor_min_decay": 0.9, + "reg_anchor_weight": 0.0, + "reg_coeff": 1.0, + "reg_every": 1, + "reg_kappa": 1.0, + "reopen_anchor": "hold", + "reopen_signal": "data", + "routing_temperature": 0.25, + "row_evidence_exclude": true, + "row_evidence_gate": false, + "row_evidence_hold": true, + "row_evidence_hot": true, + "row_evidence_null": "theory", + "row_policy": "independent", + "serve_average": 0.0, + "sigma_rel": 0.0, + "standardize": false, + "table_release_rule": "any", + "total_steps": 1200, + "ucd_target": "class", + "ucd_weight": 0.02, + "z_dim": 2 + }, + "runtime": { + "autograd_multithreading_enabled": false, + "cuda": "13.0", + "cuda_device_model": "NVIDIA RTX A6000", + "cudnn_benchmark": false, + "cudnn_tf32": false, + "deterministic_algorithms": true, + "device": "cuda:0", + "matmul_tf32": false, + "python": "3.12.13", + "torch": "2.14.0+cu130", + "torch_threads": 1 + }, + "source_identity": "d2b5cf8eba1f69f89321d76a0a6f7efc2cf75aba8d99e03741bc12cf8e0768de", + "source_commit": "21efa29ae0adabfd30eb4753f1276242370c55ed", + "api_receipt_sha256": "7e350d7e0b02e675dba8dc4702e45462be33cda482ffb9c2dbe790c373439b1d", + "gif": "media/bispf-misgan-transport-settle-v1.gif", + "gif_sha256": "3b9877086b8b8f225e2f41657949be728c46a6369147a54e62021a5d1fa4ce86", + "completed_updates": 1200, + "guards": { + "all_finite": true, + "hooks_exercised": true, + "mechanism_audit": { + "mechanisms": { + "a2": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_anchor": { + "applied": 0, + "calls": 1200, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_guard": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + }, + "critic_penalty": { + "applied": 1200, + "calls": 1200, + "eligible": 1200, + "enabled": true, + "reason": "actual host mechanism branch applied", + "requested": true + }, + "direct_particle_gain": { + "applied": 0, + "calls": 0, + "eligible": 0, + "enabled": false, + "reason": "disabled by the declared formulation; no activation claimed", + "requested": false + } + }, + "penalty_cadence": { + "application_updates_unavailable": 0, + "configured": { + "base_coefficient": 1.0, + "coefficient_scope": "initial_recipe_before_any_schedule", + "effective_coefficient": 1.0, + "k": 1, + "scheduled_end_base_coefficient": null + }, + "first_application_update": 1, + "last_application_update": 1200, + "observations": { + "applied": 1200, + "calls": 1200, + "skipped": 0, + "unavailable": 0 + }, + "optimizer": { + "applied_record_calls_end": 3600, + "applied_record_calls_in_window": 3600, + "applied_record_calls_start": 0, + "observed_steps_end": 1200, + "observed_steps_in_window": 1200, + "observed_steps_start": 0 + }, + "phase_counts": { + "bispf": 1200 + }, + "ranges": { + "ema_data_scale": { + "count": 1200, + "last": 4.508982181549072, + "max": 4.8249688148498535, + "min": 3.259047269821167, + "nonfinite": 0, + "unavailable": 0 + }, + "ema_residual": { + "count": 1200, + "last": 0.03972253203392029, + "max": 0.6015648245811462, + "min": 0.034096576273441315, + "nonfinite": 0, + "unavailable": 0 + }, + "s_thermal": { + "count": 1200, + "last": 1.0, + "max": 1.0, + "min": 1.0, + "nonfinite": 0, + "unavailable": 0 + } + }, + "resets": 0, + "schema_version": 1, + "scope": "audit_window", + "start_reason": "attachment", + "update_clock": "one_based_critic_optimizer_update" + }, + "schema_version": 1 + }, + "optimizer_updates": { + "discriminator": 1200, + "encoder": 0, + "generator": 1200, + "prior": 1200 + }, + "unintended_rng_deviations": 0 + } + } + ] +} diff --git a/scripts/base_compatibility_smoke.py b/scripts/base_compatibility_smoke.py new file mode 100644 index 000000000..519ab3ae4 --- /dev/null +++ b/scripts/base_compatibility_smoke.py @@ -0,0 +1,80 @@ +"""Bounded installed-base API and exact continuation check; no quality claim. + +CI copies this script outside the checkout and runs it using minimum base +dependency versions. Only Torch and NumPy are required by the installed wheel. +""" +from io import BytesIO +import importlib.metadata +import json + +import torch +from torch import nn + +from particlegan import GANTrainer, Recipe, get_recipe, init +from particlegan_forge import NamedStreams + + +def assert_same(left, right): + if isinstance(left, torch.Tensor): + assert isinstance(right, torch.Tensor) + assert (left.dtype, left.shape) == (right.dtype, right.shape) + # Uninitialized optimizer diagnostics can contain NaN sentinels. + assert torch.equal(left.detach().cpu().contiguous().reshape(-1).view(torch.uint8), + right.detach().cpu().contiguous().reshape(-1).view(torch.uint8)) + elif isinstance(left, dict): + assert left.keys() == right.keys() + for key in left: + assert_same(left[key], right[key]) + elif isinstance(left, (tuple, list)): + assert type(left) is type(right) and len(left) == len(right) + for a, b in zip(left, right): + assert_same(a, b) + else: + assert left == right + + +def make_trainer(recipe): + generator = nn.Linear(2, 2) + critic = nn.Sequential(nn.Linear(2, 8), nn.LeakyReLU(.2), nn.Linear(8, 1)) + prior = recipe.make_prior() + for seed, module in enumerate((generator, critic, prior)): + init.deterministic_orthogonal_(module, seed=seed) + return GANTrainer(recipe, generator, critic, prior=prior, seed=0) + + +def main(): + torch.set_num_threads(1) + recipe = get_recipe(num_particles=16, z_dim=2, batch_size=8, total_steps=4) + assert Recipe.from_dict(recipe.to_dict()) == recipe + source = make_trainer(recipe) + data = torch.Generator().manual_seed(0) + source.step(torch.randn(8, 2, generator=data)) + + serialized = BytesIO() + torch.save({"trainer": source.state_dict(), "data": data.get_state()}, serialized) + serialized.seek(0) + saved = torch.load(serialized, weights_only=True) + real = torch.randn(8, 2, generator=data) + source.step(real) + expected = source.state_dict() + + resumed = make_trainer(Recipe.from_dict(saved["trainer"]["recipe"])) + resumed.load_state_dict(saved["trainer"]) + restored_data = torch.Generator().set_state(saved["data"]) + restored_real = torch.randn(8, 2, generator=restored_data) + assert_same(real, restored_real) + resumed.step(restored_real) + assert_same(expected, resumed.state_dict()) + samples = resumed.sample(4, generator=torch.Generator().manual_seed(0)) + assert samples.shape == (4, 2) and torch.isfinite(samples).all() + streams = NamedStreams(seed=0) + stream_state = streams.state_dict() + streams.load_state_dict(stream_state) + print(json.dumps({"scope": "base_api_software_compatibility", "exact_continuation": True, + "completed_updates": 2, + "versions": {name: importlib.metadata.version(name) + for name in ("torch", "numpy", "particlegan")}})) + + +if __name__ == "__main__": + main() diff --git a/scripts/check_lint.py b/scripts/check_lint.py index 7e017e05d..21557d2ed 100644 --- a/scripts/check_lint.py +++ b/scripts/check_lint.py @@ -7,9 +7,12 @@ import argparse from collections import Counter +import hashlib +import importlib.util import json from pathlib import Path import re +import shutil import subprocess import sys @@ -17,20 +20,53 @@ PATHS = ("particlegan", "particlegan_forge", "examples", "lib", "experiments", "benchmarks", "scripts", "ops", "tests") RULES = "F,E9" +# Undefined names cannot be accepted by refreshing the legacy baseline. Reviewed +# F811 entries are imported pytest fixtures shadowed by injected fixture arguments; +# they remain counted exceptions, so a new redefinition still fails the gate. +STRICT_CODES = frozenset({"F821"}) +# These exact frozen sources have reviewed control-flow false positives. The +# proximal replay reads ``restored`` at update 33 after update 32 initialized it; +# caption closures read ``p`` before its end-of-arm deletion. Their original +# source hashes are part of experiment contracts, so do not edit them for lint. +# A changed byte, different message or new undefined name is never suppressed. +FROZEN_F821_FALSE_POSITIVES = { + "benchmarks/toy_audit/prior_proximal_smoke.py": ( + "e1f78fc72d6bcda99aa56e20dcf1e4ec327dda668308afb599d9b30e9903edd4", + "Undefined name `restored`"), + "examples/e22_routed_caption_late_phase.py": ( + "f4bad83b5ff9944a14c75bcf5d51d82e26fd3ed432a0730122255fffdc313b65", + "Undefined name `p`"), + "examples/e22_routed_caption_untied.py": ( + "a35938f51b7974677651d2c05b1aa396896255460e213cf26ccf57409efcdb81", + "Undefined name `p`"), +} + + +def _ruff_command() -> list[str]: + if importlib.util.find_spec("ruff") is not None: + return [sys.executable, "-m", "ruff"] + binary = shutil.which("ruff") + if binary: + return [binary] + return [sys.executable, "-m", "ruff"] def findings(root: Path) -> Counter: result = subprocess.run( - [sys.executable, "-m", "ruff", "check", "--select", RULES, + [*_ruff_command(), "check", "--select", RULES, "--output-format", "json", *PATHS], cwd=root, capture_output=True, text=True, ) - if result.returncode not in (0, 1): + if result.returncode not in (0, 1) or not result.stdout.strip(): raise RuntimeError(result.stderr.strip() or "Ruff failed") counts = Counter() for item in json.loads(result.stdout): path = Path(item["filename"]).resolve().relative_to(root.resolve()).as_posix() message = re.sub(r"from line \d+", "from an earlier line", item["message"]) + frozen = FROZEN_F821_FALSE_POSITIVES.get(path) + if (item["code"] == "F821" and frozen is not None and message == frozen[1] + and hashlib.sha256((root / path).read_bytes()).hexdigest() == frozen[0]): + continue counts[(path, item["code"], message)] += 1 return counts @@ -52,6 +88,12 @@ def main(argv=None) -> int: root = args.root.resolve() baseline = root / ".ruff-baseline.json" current = findings(root) + strict = {key: count for key, count in current.items() if key[1] in STRICT_CODES} + if strict: + for (path, code, message), count in sorted(strict.items()): + print(f"STRICT: {path}: {code} {message} ({count})") + print("Undefined names must be fixed; they cannot enter the lint baseline") + return 1 if args.update_baseline: grouped = {} for (path, code, message), count in sorted(current.items()): @@ -61,6 +103,9 @@ def main(argv=None) -> int: print(f"Recorded {sum(current.values())} reviewed Ruff findings in {baseline.name}") return 0 expected = unpack(json.loads(baseline.read_text())) + if any(code in STRICT_CODES for _, code, _ in expected): + print("The lint baseline contains a strict code; review and remove its exemption") + return 1 added, removed = current - expected, expected - current for label, delta in (("NEW", added), ("RESOLVED", removed)): for (path, code, message), count in sorted(delta.items()): diff --git a/tests/archived_forge_contracts.py b/tests/archived_forge_contracts.py index cea931ed3..944170a57 100644 --- a/tests/archived_forge_contracts.py +++ b/tests/archived_forge_contracts.py @@ -20,6 +20,7 @@ "shallow_gaussian_cards": "5737ade47dca89b04d338ada20667781d1f2b5df", "bcap_legacy_questions": "5737ade47dca89b04d338ada20667781d1f2b5df", "bcap_prior_baseline_questions": "03466efa4de8271b9a2c964406dc6f4f0f260792", + "model_toy_api_callers": "bee9f06ed21695e518c1cb702e12a385ab9389e8", } diff --git a/tests/bigan_software_cohort.py b/tests/bigan_software_cohort.py new file mode 100644 index 000000000..9ddb377d8 --- /dev/null +++ b/tests/bigan_software_cohort.py @@ -0,0 +1,34 @@ +"""Explicit noise-free, bounded software cohort; no scientific qualification. + +The manual BiGAN owner has no training-noise or UpdatePolicy implementation. +These tests declare a separate intact public recipe instead of changing presets +inside the host. Architectures, target law and prior width remain task-owned. +""" +from copy import deepcopy + +from benchmarks.toy_audit.api_ring16 import ( + ALICESpiralBiGANFixture, + Ring16BiGANFixture, + _alice_spiral_case, + _bigan_case, +) +from particlegan import get_recipe + +COHORT = "bigan-noise-free-software-v1" + + +def build_fixture(case=None, *, max_steps=10, fixture_cls=None, recipe_name="k3p", + batch_size=16, particles=32, z_dim=2, **recipe_overrides): + if fixture_cls is None: + fixture_cls = (ALICESpiralBiGANFixture if case and case["id"] == "api-alice-spiral-bigan" + else Ring16BiGANFixture) + case = deepcopy(case if case is not None else + (_alice_spiral_case() if fixture_cls is ALICESpiralBiGANFixture else _bigan_case())) + case["software_cohort"] = COHORT + case["scope"] += " Separate bounded noise-free software cohort; no learned-quality qualification." + recipe = get_recipe(recipe_name, input_noise_std=0., output_noise_std=0., + batch_size=batch_size, num_particles=particles, z_dim=z_dim, + prior_kind="mog", sigma_rel=0., standardize=False, + total_steps=max_steps, **recipe_overrides) + return fixture_cls(case, recipe=recipe, max_steps=max_steps, batch_size=batch_size, + particles=particles, z_dim=z_dim, device="cpu", seed=0) diff --git a/tests/fixtures/archived-discovery/critic-generator-case-cards-provenance.json b/tests/fixtures/archived-discovery/critic-generator-case-cards-provenance.json new file mode 100644 index 000000000..980f98e4b --- /dev/null +++ b/tests/fixtures/archived-discovery/critic-generator-case-cards-provenance.json @@ -0,0 +1,52 @@ +{ + "case_sha256": { + "api-grid100": "93ca5686f7358c701c58b34798b8e1f784a339c958a0fe8e1c9f90af4867f279", + "api-rotated100": "6e06e5ba492950d3f8063a27f82bf3d51e75574148235495cc1b331b7fb30754", + "api-staggered100": "9ba09451032b3741df8a30c936bd81cc31038866dd2f4d0eb92966e48b292f48", + "api-vector-anisotropic": "2ec941011f8398672ce85b1d4df41c6e22dce2e0f98354a75f1d9a6794d4e1b6", + "api-vector-two-broad": "e293cf19f2f235b30807f9782ec65ceea3693f78e3459b9f7eb117179168c8fc", + "api-vector-unequal-mass": "e29a36b2461a986a28ca950df869a4926f258b2bfca32bd46bc8b2188aebf32e", + "image-develop-img_bars4-source-transpose12": "d3145a02dd5e98155b006bf3e99899003707fe8fcf62318ba55fcd2fc6374b4d", + "image-develop-img_intensity2-source-transpose12": "e9fa47de6adbb31f083c0333b0c7c41352d2b890b16539d47839d3f9720c5dfb" + }, + "fixture": "critic-generator-case-cards.json", + "method": "Run the original api_contract.discover with only api_images and api_vectors selected in an isolated extraction of the pinned Git source; retain the eight declared cells without editing their metadata; verify every digest against both frozen coordinators", + "schema_version": 1, + "scope": "Exact archived coordinator discovery cards for software protocol tests only; zero model constructions, training updates or qualification credit", + "sha256": "dd968094c07d6a75b2adc56cce83e9c97f50066979653871fa616a76a53becea", + "source_commit": "4749b2780add539df4bd8d2dd1d3cc9f002f77ad", + "source_files": { + "benchmarks/toy100/accuracy.py": { + "git_blob": "09dde01848d548cb838bc72182429fbeb27e9d72", + "sha256": "ee5c62049f8cdceb3d93b6d792cbaa96c815e12b3ce79ffaed244fb15a44fed2" + }, + "benchmarks/toy100/metrics.py": { + "git_blob": "c1e4b9fc38de6301d2f1c3d6c10205bf257b6bee", + "sha256": "a7fbef19082f8470eb392948da52a336a90a3e99c6b3b893343a9e75bcda9c7b" + }, + "benchmarks/toy100/problems.py": { + "git_blob": "115f83ac0ee93dc386cfe3ecd67e03cdf5b5ffa8", + "sha256": "2581374d451ed9147c031dfcdfbe9e2eea83e41ba49c2b8945b6e729ede26c9d" + }, + "benchmarks/toy_audit/api_contract.py": { + "git_blob": "29f6b1059f2e103268c58fdb8ca0f61f0c063e92", + "sha256": "2d23aacfb6107f1535ed04ea0d5bb67d8f33a260ac1aca9e1d1734bfaf0f2e28" + }, + "benchmarks/toy_audit/api_images.py": { + "git_blob": "b8839efbdb5624616d38ad42661184d243b6ef74", + "sha256": "2e6c65efff150f4fd393ad3b4ee3000d3f0f56b7a077a80f2624c4af46f7b491" + }, + "benchmarks/toy_audit/api_vectors.py": { + "git_blob": "990fa77853e7d211acb1a56f2534ca7f854c7c95", + "sha256": "9707af96fa43f76fad5481b6d6ec76e317957ec8e309ea96cc079ee95c2058af" + }, + "benchmarks/transfer_suite/stress_tasks.py": { + "git_blob": "76fdaae60cc25fae7ebee2374c4ddf5a990f7d06", + "sha256": "3342e717db338cb6b7ebf5a95c01c51e4be855a564490f34f240b2a0b2e8c7e4" + }, + "benchmarks/transfer_suite/vector_tasks.py": { + "git_blob": "0c5e558f66210085f481f3f0ff99817e9e9b4e41", + "sha256": "3ee4eb27759f61a430029c80b7772cac3dca2fb2ac84919ace0db94efca1e0b0" + } + } +} diff --git a/tests/fixtures/archived-discovery/critic-generator-case-cards.json b/tests/fixtures/archived-discovery/critic-generator-case-cards.json new file mode 100644 index 000000000..642fba1a4 --- /dev/null +++ b/tests/fixtures/archived-discovery/critic-generator-case-cards.json @@ -0,0 +1,982 @@ +{ + "api-grid100": { + "batch_size": 2048, + "default_recipe": "atlas", + "default_steps": 7000, + "eval_samples": 20000, + "evaluation_observations": 24, + "goal": "Recover all 100 equal-weight Gaussian modes, their mass and local width, including independent density-fidelity bounds.", + "id": "api-grid100", + "kind": "native100", + "law": { + "kind": "equal100_gaussian", + "problem": "grid100", + "sigma": 0.03 + }, + "legacy_ids": [ + "atlas-grid100" + ], + "particles": 20000, + "problem": "grid100", + "provider": "api_vectors", + "sampling": "public served latent law, including enabled DV12/feature-cell perturbation, plus the recipe's output noise; diagnostics remove additive output noise only", + "scope": "A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.", + "thresholds": { + "accuracy": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "native": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + } + }, + "title": "grid100", + "z_dim": 2 + }, + "api-rotated100": { + "batch_size": 2048, + "default_recipe": "atlas", + "default_steps": 7000, + "eval_samples": 20000, + "evaluation_observations": 24, + "goal": "Recover all 100 equal-weight Gaussian modes, their mass and local width, including independent density-fidelity bounds.", + "id": "api-rotated100", + "kind": "native100", + "law": { + "kind": "equal100_gaussian", + "problem": "rotated100", + "sigma": 0.03 + }, + "legacy_ids": [ + "atlas-rotated100" + ], + "particles": 20000, + "problem": "rotated100", + "provider": "api_vectors", + "sampling": "public served latent law, including enabled DV12/feature-cell perturbation, plus the recipe's output noise; diagnostics remove additive output noise only", + "scope": "A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.", + "thresholds": { + "accuracy": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "native": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + } + }, + "title": "rotated100", + "z_dim": 2 + }, + "api-staggered100": { + "batch_size": 2048, + "default_recipe": "atlas", + "default_steps": 7000, + "eval_samples": 20000, + "evaluation_observations": 24, + "goal": "Recover all 100 equal-weight Gaussian modes, their mass and local width, including independent density-fidelity bounds.", + "id": "api-staggered100", + "kind": "native100", + "law": { + "kind": "equal100_gaussian", + "problem": "staggered100", + "sigma": 0.03 + }, + "legacy_ids": [ + "atlas-staggered100" + ], + "particles": 20000, + "problem": "staggered100", + "provider": "api_vectors", + "sampling": "public served latent law, including enabled DV12/feature-cell perturbation, plus the recipe's output noise; diagnostics remove additive output noise only", + "scope": "A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.", + "thresholds": { + "accuracy": { + "abs_cov_trace_bias": 0.1, + "center_rms_sigma": 0.2, + "mass_tv": 0.06, + "radial_ks": 0.04 + }, + "native": { + "all_finite": true, + "max_cov_eig_ratio": 1.7, + "max_mass_tv": 0.1, + "max_mode_mass": 0.02, + "max_radial_median_ratio": 1.4, + "min_cov_eig_ratio": 0.4, + "min_hq_mode_mass": 0.005, + "min_modes": 100, + "min_precision": 0.97, + "min_radial_median_ratio": 0.65, + "min_samples": 20000 + } + }, + "title": "staggered100", + "z_dim": 2 + }, + "api-vector-anisotropic": { + "adaptation": "Current selected public policy replaces the historical manual Adam/controller loop; target law and named stress remain fixed.", + "batch_size": 128, + "cadence": { + "d_every": 1, + "first_d_outer_step": 1, + "g_every": 1 + }, + "caller_noise": null, + "caller_owned": false, + "default_recipe": "atlas", + "default_steps": 1200, + "eval_samples": 4096, + "evaluation_observations": 24, + "goal": "Checks covariance shape: a narrow axis cannot be rescued by a wide one.", + "id": "api-vector-anisotropic", + "kind": "vector", + "law": { + "covariances": [ + [ + [ + 0.09, + 0.018 + ], + [ + 0.018, + 0.0081 + ] + ], + [ + [ + 0.0081, + -0.018 + ], + [ + -0.018, + 0.09 + ] + ], + [ + [ + 0.04, + 0.03 + ], + [ + 0.03, + 0.04 + ] + ] + ], + "kind": "gaussian_mixture", + "masses": [ + 0.3333333333333333, + 0.3333333333333333, + 0.3333333333333333 + ], + "means": [ + [ + -2.0, + -1.0 + ], + [ + 0.0, + 1.5 + ], + [ + 2.0, + -1.0 + ] + ] + }, + "law_sha256": "02f7351e317af9e8984722ae42351941ed48ab647d6af0484da51a41cead7b74", + "legacy_ids": [ + "develop-vector_anisotropic" + ], + "limitations": "Finite-particle approximation; 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independent evaluation RNG; output_noise=False removes additive output noise only; DV12/feature-cell latent perturbation remains when enabled", + "scope": "A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.", + "spec": { + "batch": 128, + "betas": [ + 0.0, + 0.99 + ], + "covariances": [ + [ + [ + 0.0625, + 0.0 + ], + [ + 0.0, + 0.0625 + ] + ], + [ + [ + 0.0625, + 0.0 + ], + [ + 0.0, + 0.0625 + ] + ] + ], + "d_every": 1, + "d_lr_mult": 1.5, + "ema_decay": 0.995, + "family": "separated_broad", + "fourier": 2, + "g_every": 1, + "hidden": 64, + "identifiable": true, + "importance_reason": "Basic learnable multimodal distribution and within-mode spread.", + "kind": "gaussian_mixture", + "layers": 2, + "limitations": "Finite-particle approximation; one initialization only.", + "lr": 0.001, + "masses": [ + 0.5, + 0.5 + ], + "means": [ + [ + -1.0, + 0.0 + ], + [ + 1.0, + 0.0 + ] + ], + "name": "vector_two_broad", + "particles": 256, + "prior_lr_mult": 10.0, + "prior_reg": 0.05, + "reg_arm": "b_cap", + "reg_coeff": 3.0, + "reg_kappa": 1.25, + "split": "development", + "steps": 1200, + "thresholds": [ + [ + "sw1_normalized", + "<=", + 0.18 + ], + [ + "mass_tv", + "<=", + 0.15 + ], + [ + "hq", + ">=", + 0.85 + ], + [ + "component_covariance_error", + "<=", + 0.85 + ], + [ + "component_min_eigen_ratio", + ">=", + 0.15 + ] + ], + "tier": "ranking", + "z_dim": 4 + }, + "split": "already-observed-audit-fixture", + "thresholds": [ + [ + "sw1_normalized", + "<=", + 0.18 + ], + [ + "mass_tv", + "<=", + 0.15 + ], + [ + "hq", + ">=", + 0.85 + ], + [ + "component_covariance_error", + "<=", + 0.85 + ], + [ + "component_min_eigen_ratio", + ">=", + 0.15 + ], + [ + "sample_count", + ">=", + 4096 + ], + [ + "projection_ks", + "<=", + 0.06 + ] + ], + "title": "vector_two_broad", + "z_dim": 4 + }, + "api-vector-unequal-mass": { + "adaptation": "Current selected public policy replaces the historical manual Adam/controller loop; target law and named stress remain fixed.", + "batch_size": 128, + "cadence": { + "d_every": 1, + "first_d_outer_step": 1, + "g_every": 1 + }, + "caller_noise": null, + "caller_owned": false, + "default_recipe": "atlas", + "default_steps": 1200, + "eval_samples": 4096, + "evaluation_observations": 24, + "goal": "Checks target occupancy including the rare 2% component, not uniformity.", + "id": "api-vector-unequal-mass", + "kind": "vector", + "law": { + "covariances": [ + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ] + ], + "kind": "gaussian_mixture", + "masses": [ + 0.55, + 0.3, + 0.13, + 0.02 + ], + "means": [ + [ + -1.5, + -1.5 + ], + [ + -1.5, + 1.5 + ], + [ + 1.5, + -1.5 + ], + [ + 1.5, + 1.5 + ] + ] + }, + "law_sha256": "91bcc924492c6c5532ed58defb97a69f5c67dd3d44c87eea9912877b02ff4909", + "legacy_ids": [ + "develop-vector_unequal_mass" + ], + "limitations": "Finite-particle approximation; one initialization only.", + "original_split": "development", + "particles": 256, + "penalty_arm": null, + "provider": "api_vectors", + "sampling": "public served latent law; independent evaluation RNG; output_noise=False removes additive output noise only; DV12/feature-cell latent perturbation remains when enabled", + "scope": "A per-observation gate is not full-budget or sustained convergence; no historical verdict is replaced.", + "spec": { + "batch": 128, + "betas": [ + 0.0, + 0.99 + ], + "covariances": [ + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ], + [ + [ + 0.0324, + 0.0 + ], + [ + 0.0, + 0.0324 + ] + ] + ], + "d_every": 1, + "d_lr_mult": 1.5, + "ema_decay": 0.995, + "family": "unequal_mass", + "fourier": 2, + "g_every": 1, + "hidden": 64, + "identifiable": true, + "importance_reason": "Checks target occupancy including the rare 2% component, not uniformity.", + "kind": "gaussian_mixture", + "layers": 2, + "limitations": "Finite-particle approximation; one initialization only.", + "lr": 0.001, + "masses": [ + 0.55, + 0.3, + 0.13, + 0.02 + ], + "means": [ + [ + -1.5, + -1.5 + ], + [ + -1.5, + 1.5 + ], + [ + 1.5, + -1.5 + ], + [ + 1.5, + 1.5 + ] + ], + "name": "vector_unequal_mass", + "particles": 256, + "prior_lr_mult": 10.0, + "prior_reg": 0.05, + "reg_arm": "b_cap", + "reg_coeff": 3.0, + "reg_kappa": 1.25, + "split": "development", + "steps": 1200, + "thresholds": [ + [ + "sw1_normalized", + "<=", + 0.18 + ], + [ + "mass_tv", + "<=", + 0.15 + ], + [ + "hq", + ">=", + 0.85 + ], + [ + "resolved_core_covariance_error", + "<=", + 0.5 + ], + [ + "resolved_core_min_eigen_ratio", + ">=", + 0.15 + ], + [ + "resolved_max_component_spill", + "<=", + 0.05 + ], + [ + "min_mass_ratio", + ">=", + 0.25 + ] + ], + "tier": "ranking", + "z_dim": 4 + }, + "split": "already-observed-audit-fixture", + "thresholds": [ + [ + "sw1_normalized", + "<=", + 0.18 + ], + [ + "mass_tv", + "<=", + 0.15 + ], + [ + "hq", + ">=", + 0.85 + ], + [ + "resolved_core_covariance_error", + "<=", + 0.5 + ], + [ + "resolved_core_min_eigen_ratio", + ">=", + 0.15 + ], + [ + "resolved_max_component_spill", + "<=", + 0.05 + ], + [ + "min_mass_ratio", + ">=", + 0.25 + ], + [ + "sample_count", + ">=", + 4096 + ], + [ + "projection_ks", + "<=", + 0.06 + ] + ], + "title": "vector_unequal_mass", + "z_dim": 4 + }, + "image-develop-img_bars4-source-transpose12": { + "api_contract_version": "public-api-images-v1", + "architecture": "transpose", + "arm_identity": "checked-in-source-host", + "batch_size": 32, + "default_recipe": "atlas", + "default_steps": 600, + "eval_samples": 1024, + "evaluation_observations": 24, + "goal": "Recover all four horizontal/vertical bar positions with sharp pixel fidelity and balanced output mass.", + "id": "image-develop-img_bars4-source-transpose12", + "initialization": "Public deterministic_orthogonal_: G seed, D seed+1, prior seed+2", + "kind": "image", + "legacy_ids": [ + "develop-img_bars4" + ], + "ordered_template_sha256": "ea1a988a1e5aa5d875603049aebe35afe0da4ff398a3bbc9e12cd6338c3814af", + "pattern": "bars4", + "provider": "api_images", + "query": null, + "sampling": { + "cohort": "New public-API variant; historical results are not imported", + "evaluation": "Public ServedModel.sample/generate, fixed isolated per-context streams, output_noise=False; DV12 latent perturbation and selected weights retained", + "prior": "32 uniformly sampled trainable particle rows", + "prior_exception": "Finite-template architecture controls retain their original 32-row cloud; this is not a learned-MoG qualification host.", + "training_real": "Uniform ordered template IDs, independent N(0,.01^2) pixels, clipped to [0,1]" + }, + "scientific_status": "NEW_VARIANT_UNMEASURED", + "scope": "Recover all four horizontal/vertical bar positions with sharp pixel fidelity and balanced output mass.", + "source": { + "head": "664ce464e3add5c65d06c8b324c6f9892e644eec", + "path": "benchmarks/transfer_suite/image_tasks.py", + "sha256": "4f070d0879cbaaaa076f82b4683cfe74ea9ed8d85480d1922e249444a752ce58" + }, + "thresholds": { + "distribution_tv_max": 0.1, + "finite_template_tv_max": 0.1, + "hq_min": 0.9, + "min_mode_fraction": 0.125, + "minimum_stable_checks": 5, + "modes": 4, + "observations": 24, + "quality_rmse": 0.1 + }, + "title": "bars4: transpose width 12", + "width": 12, + "z_dim": 8 + }, + "image-develop-img_intensity2-source-transpose12": { + "alias_identity_fields": [ + "ordered_template_sha256", + "architecture", + "width", + "z_dim", + "query", + "default_steps", + "batch_size", + "thresholds", + "sampling", + "initialization", + "resolved_recipe", + "seed", + "max_steps", + "source", + "runtime" + ], + "alias_of": "image-pr58-transpose12", + "alias_scope": "Same declared host/data/gates/default seed and API recipe resolution; no second independent training evidence. Changed runtime/recipe/seed/serving fields require a distinct run.", + "api_contract_version": "public-api-images-v1", + "architecture": "transpose", + "arm_identity": "checked-in-source-host", + "batch_size": 32, + "default_recipe": "atlas", + "default_steps": 600, + "eval_samples": 1024, + "evaluation_observations": 24, + "goal": "Recover both center-patch intensities (0.35 and 0.85) with correct brightness and balanced output mass.", + "id": "image-develop-img_intensity2-source-transpose12", + "initialization": "Public deterministic_orthogonal_: G seed, D seed+1, prior seed+2", + "kind": "image", + "legacy_ids": [ + "develop-img_intensity2" + ], + "ordered_template_sha256": "05489b1025607126a07709640796daa66e6d0a841697fc6160dff46636879512", + "pattern": "intensity2", + "provider": "api_images", + "query": null, + "same_execution_definition_as": "image-pr58-transpose12", + "sampling": { + "cohort": "New public-API variant; historical results are not imported", + "evaluation": "Public ServedModel.sample/generate, fixed isolated per-context streams, output_noise=False; DV12 latent perturbation and selected weights retained", + "prior": "32 uniformly sampled trainable particle rows", + "prior_exception": "Finite-template architecture controls retain their original 32-row cloud; this is not a learned-MoG qualification host.", + "training_real": "Uniform ordered template IDs, independent N(0,.01^2) pixels, clipped to [0,1]" + }, + "scientific_status": "NEW_VARIANT_UNMEASURED", + "scope": "Recover both center-patch intensities (0.35 and 0.85) with correct brightness and balanced output mass.", + "source": { + "head": "664ce464e3add5c65d06c8b324c6f9892e644eec", + "path": "benchmarks/transfer_suite/image_tasks.py", + "sha256": "4f070d0879cbaaaa076f82b4683cfe74ea9ed8d85480d1922e249444a752ce58" + }, + "thresholds": { + "distribution_tv_max": 0.1, + "finite_template_tv_max": 0.1, + "hq_min": 0.9, + "min_mode_fraction": 0.25, + "minimum_stable_checks": 5, + "modes": 2, + "observations": 24, + "quality_rmse": 0.06 + }, + "title": "intensity2: transpose width 12", + "width": 12, + "z_dim": 8 + } +} diff --git a/tests/fixtures/archived-forge-contracts.json b/tests/fixtures/archived-forge-contracts.json index a8793fad4..ec020d746 100644 --- a/tests/fixtures/archived-forge-contracts.json +++ b/tests/fixtures/archived-forge-contracts.json @@ -670,5 +670,21 @@ "text": "{\n \"schema_version\": 1,\n \"id\": \"discriminator_stability\",\n \"revision\": 8,\n \"goal\": \"discriminator_stability\",\n \"assignments\": [\n {\n \"importance\": \"required\",\n \"order\": 0,\n \"qualification_tier\": 1,\n \"task\": \"gaussian1d_smoke\"\n },\n {\n \"importance\": \"required\",\n \"order\": 1,\n \"qualification_tier\": 1,\n \"task\": \"two_pole\"\n },\n {\n \"importance\": \"required\",\n \"order\": 2,\n \"qualification_tier\": 1,\n \"task\": \"unused_token_hold\"\n },\n {\n \"importance\": \"required\",\n \"order\": 3,\n \"qualification_tier\": 1,\n \"task\": \"ae_gan_hold\"\n },\n {\n \"importance\": \"required\",\n \"order\": 4,\n \"qualification_tier\": 1,\n \"task\": \"ring16_acquisition\"\n },\n {\n \"importance\": \"required\",\n \"order\": 5,\n \"qualification_tier\": 1,\n \"task\": \"five_word_joint_smoke\"\n },\n {\n \"task\": \"gaussian1d_stability\",\n \"qualification_tier\": 2,\n \"importance\": \"required\",\n \"order\": 0\n },\n {\n \"task\": \"five_word_joint_hold\",\n \"qualification_tier\": 2,\n \"importance\": \"required\",\n \"order\": 1\n },\n {\n \"importance\": \"required\",\n \"order\": 2,\n \"qualification_tier\": 2,\n \"task\": \"trajectory\"\n },\n {\n \"importance\": \"required\",\n \"order\": 3,\n \"qualification_tier\": 2,\n \"task\": \"residual_student\"\n },\n {\n \"importance\": \"required\",\n \"order\": 4,\n \"qualification_tier\": 2,\n \"task\": \"unipolar\"\n },\n {\n \"importance\": \"required\",\n \"order\": 5,\n \"qualification_tier\": 2,\n \"task\": \"cover_leftover\"\n },\n {\n \"importance\": \"required\",\n \"order\": 6,\n \"qualification_tier\": 2,\n \"task\": \"mid_scale_identity\"\n },\n {\n \"importance\": \"required\",\n \"order\": 7,\n \"qualification_tier\": 2,\n \"task\": \"mode_hold\"\n },\n {\n \"importance\": \"required\",\n \"order\": 8,\n \"qualification_tier\": 2,\n \"task\": \"vector_two_broad\"\n },\n {\n \"importance\": \"required\",\n \"order\": 9,\n \"qualification_tier\": 2,\n \"task\": \"vector_unequal_mass\"\n },\n {\n \"importance\": \"required\",\n \"order\": 10,\n \"qualification_tier\": 2,\n \"task\": \"vector_unequal_width\"\n },\n {\n \"importance\": \"required\",\n \"order\": 11,\n \"qualification_tier\": 2,\n \"task\": \"vector_anisotropic\"\n },\n {\n \"importance\": \"required\",\n \"order\": 12,\n \"qualification_tier\": 2,\n \"task\": \"vector_overlap\"\n },\n {\n \"importance\": \"required\",\n \"order\": 13,\n \"qualification_tier\": 2,\n \"task\": \"vector_spiral\"\n },\n {\n \"importance\": \"required\",\n \"order\": 14,\n \"qualification_tier\": 2,\n \"task\": \"img_stripes2\"\n },\n {\n \"importance\": \"required\",\n \"order\": 15,\n \"qualification_tier\": 2,\n \"task\": \"img_bars4\"\n },\n {\n \"importance\": \"required\",\n \"order\": 16,\n \"qualification_tier\": 2,\n \"task\": \"img_blobs4\"\n },\n {\n \"importance\": \"required\",\n \"order\": 17,\n \"qualification_tier\": 2,\n \"task\": \"img_intensity2\"\n },\n {\n \"importance\": \"required\",\n \"order\": 18,\n \"qualification_tier\": 2,\n \"task\": \"grid100\"\n },\n {\n \"importance\": \"required\",\n \"order\": 19,\n \"qualification_tier\": 2,\n \"task\": \"rotated100\"\n },\n {\n \"importance\": \"required\",\n \"order\": 20,\n \"qualification_tier\": 2,\n \"task\": \"staggered100\"\n },\n {\n \"importance\": \"required\",\n \"order\": 0,\n \"qualification_tier\": 3,\n \"task\": \"ring_hold\"\n },\n {\n \"importance\": \"required\",\n \"order\": 1,\n \"qualification_tier\": 3,\n \"task\": \"ring_extension\"\n },\n {\n \"importance\": \"diagnostic\",\n \"order\": 100,\n \"qualification_tier\": 1,\n \"task\": \"clockfree_audit_measurement_v1\"\n }\n ],\n \"eligibility\": {},\n \"calibration\": {\n \"status\": \"provisional\",\n \"adoption_blocker\": \"Revision8 acquisition/hold separation is provisional and requires bounded calibration before default adoption. Historical task declarations and gates retain their original identities.\"\n },\n \"ranking\": {\n \"policy\": \"qualified_tier_only_with_raw_metrics\",\n \"compare_compatible_cohorts\": true,\n \"cost_separate\": true\n },\n \"policy_change_reason\": \"User-requested five-word acquisition/hold split: new independently confirmed can-it-pass Tier1 smoke, and exact own-state 4,000-update retention in Tier2. Original five_word_joint_acquisition sustained task and all historical receipts are unchanged and unassigned.\"\n}\n" } } + }, + "model_toy_api_callers": { + "source_commit": "bee9f06ed21695e518c1cb702e12a385ab9389e8", + "scope": "Exact original model-toy caller source bytes for software source-refusal controls; no admission or qualification of changed code", + "files": { + "benchmarks/toy_audit/api_contract.py": { + "sha256": "08a5eac1a186a22c09f47d324f69772af1f1922832383d372488ecb7091eb75d", + "git_blob": "a2d5ebe87805c750f03146d9fdac94147e8b9841", + "text": "\"\"\"Shared discovery and validation for public-API toy variants.\n\nProviders own mathematical targets, API hosts and frozen numerical gates. This\nmodule owns the executable inventory and fails closed on malformed observations.\nHistorical audit definitions and receipts are inputs, never migration outputs.\n\"\"\"\nfrom __future__ import annotations\n\nfrom .reproducibility import DEFAULT_SEED, construction_rng, VERSION as COMPARISON_VERSION\n\nfrom importlib import import_module\nfrom copy import deepcopy\nimport math\nfrom pathlib import Path\nimport re\n\nimport numpy as np\nimport torch\n\nfrom particlegan import Recipe, get_recipe\n\n\nMODEL_PROVIDERS = (\"api_model_ae\", \"api_model_vae\", \"api_model_ddgan\", \"api_model_ae_ddgan\")\nPROVIDERS = (\"api_images\", \"api_vectors\", \"api_conditionals\", \"api_diagnostics\", \"api_ring16\", \"api_gaussian1d\") + MODEL_PROVIDERS\nROOT = Path(__file__).resolve().parents[2]\nCASE_ID = re.compile(r\"^[a-zA-Z0-9][a-zA-Z0-9_-]*$\")\n\n\ndef _positive_integer(value, name):\n if type(value) is not int or value < 1:\n raise ValueError(f\"{name} must be a positive integer\")\n\n\ndef validate_case(case):\n \"\"\"Require a runnable, scoped definition, not a source-only placeholder.\"\"\"\n if not CASE_ID.fullmatch(case.get(\"id\", \"\")):\n raise ValueError(\"invalid toy case ID\")\n for name in (\"title\", \"goal\", \"kind\", \"scope\"):\n if not isinstance(case.get(name), str) or not case[name].strip():\n raise ValueError(f\"{case['id']}: missing {name}\")\n legacy = case.get(\"legacy_ids\")\n if not isinstance(legacy, (list, tuple)) or not legacy or any(\n not isinstance(value, str) or not value for value in legacy):\n raise ValueError(f\"{case['id']}: explicit historical/question mapping required\")\n if len(legacy) != len(set(legacy)):\n raise ValueError(f\"{case['id']}: repeated historical mapping\")\n for name in (\"default_steps\", \"batch_size\", \"eval_samples\"):\n _positive_integer(case.get(name), f\"{case['id']}.{name}\")\n terminal = case.get(\"terminal_observations\", 5)\n _positive_integer(terminal, f\"{case['id']}.terminal_observations\")\n if terminal > case[\"default_steps\"]:\n raise ValueError(f\"{case['id']}: terminal observations exceed the execution budget\")\n if terminal > metric_observations(case):\n raise ValueError(f\"{case['id']}: terminal observations exceed the declared metric cadence\")\n if not case.get(\"thresholds\"):\n raise ValueError(f\"{case['id']}: frozen pass/fail bounds required\")\n if not case.get(\"sampling\"):\n raise ValueError(f\"{case['id']}: sampling law required\")\n return case\n\n\ndef discover():\n cases = {}\n for name in PROVIDERS:\n provider = import_module(f\"benchmarks.toy_audit.{name}\")\n for definition in provider.list_cases():\n case = validate_case(dict(definition))\n if case[\"id\"] in cases:\n raise ValueError(f\"duplicate API case: {case['id']}\")\n case[\"provider\"] = name\n case.setdefault(\"default_recipe\", \"atlas\")\n case.setdefault(\"protocol_seed\", DEFAULT_SEED)\n case[\"comparison_version\"] = COMPARISON_VERSION\n case.setdefault(\"evaluation_observations\", metric_observations(case))\n cases[case[\"id\"]] = case\n return cases\n\n\ndef metric_observations(case):\n \"\"\"Frozen post-update scoring count, independent of GIF frame selection.\"\"\"\n thresholds = case.get(\"thresholds\", {})\n inherited = thresholds.get(\"observations\") if isinstance(thresholds, dict) else None\n count = case.get(\"evaluation_observations\", inherited if inherited is not None else min(24, case[\"default_steps\"]))\n _positive_integer(count, \"evaluation_observations\")\n if count > case[\"default_steps\"]:\n raise ValueError(\"metric observations exceed distinct execution updates\")\n return count\n\n\ndef coverage(cases, historical_ids):\n \"\"\"Retain every useful old question, even when a new variant is narrower.\"\"\"\n mappings = {name: [] for name in historical_ids}\n for case in cases.values():\n for name in case[\"legacy_ids\"]:\n mappings.setdefault(name, []).append(case[\"id\"])\n return {\"required_questions\": len(historical_ids),\n \"api_variants\": len(cases),\n \"missing\": sorted(name for name in historical_ids if not mappings[name]),\n \"mapping\": {name: sorted(values) for name, values in sorted(mappings.items())}}\n\n\nclass UnsupportedRecipeOverrides(ValueError):\n \"\"\"This fixture has no declared contract for arbitrary tuning overrides.\"\"\"\n\n\ndef validate_recipe_overrides(case, recipe_name, recipe_overrides):\n \"\"\"Allow public tuning knobs without changing the host or sampling law.\"\"\"\n from experiments.forge.configuration_search import TUNABLE_FIELDS\n if recipe_overrides is None:\n return {}\n if not isinstance(recipe_overrides, dict):\n raise ValueError(\"recipe_overrides must be a JSON object\")\n if not recipe_overrides:\n return {}\n forbidden = set(recipe_overrides) - TUNABLE_FIELDS\n if forbidden:\n raise ValueError(f\"non-tuning Recipe overrides are forbidden: {sorted(forbidden)}\")\n if (case.get(\"provider\") not in {\"api_vectors\", \"api_images\"} or case.get(\"query\")\n or case.get(\"caller_owned\") or case.get(\"penalty_arm\") or case.get(\"kind\") == \"word\"\n or case.get(\"id\", \"\").startswith(\"api-stress-\")):\n raise UnsupportedRecipeOverrides(f\"{case['id']}: tuning overrides are unsupported for this caller/conditional/stress host\")\n result = deepcopy(recipe_overrides)\n get_recipe(recipe_name, **result) # Public validation before any optimizer construction.\n return result\n\n\ndef build(case, *, device=\"cpu\", seed=DEFAULT_SEED, recipe_name=None, max_steps=None, recipe_overrides=None, recipe=None):\n provider = import_module(f\"benchmarks.toy_audit.{case['provider']}\")\n recipe_name = recipe_name or case[\"default_recipe\"]\n overrides = validate_recipe_overrides(case, recipe_name, recipe_overrides)\n options = {\"recipe_overrides\": overrides} if overrides else {}\n if recipe is not None:\n if case[\"provider\"] not in MODEL_PROVIDERS or not isinstance(recipe, Recipe) or overrides:\n raise ValueError(\"resolved Recipe injection requires a model toy without tuning overrides\")\n options[\"recipe\"] = recipe\n with construction_rng(seed, device):\n fixture = provider.build_case(case[\"id\"], device=device, seed=seed,\n recipe_name=recipe_name, max_steps=max_steps, **options)\n if not isinstance(fixture.recipe, Recipe):\n raise TypeError(f\"{case['id']}: recipe must be the public particlegan.Recipe\")\n if not fixture.api_components or any(not isinstance(name, str) or not name\n for name in fixture.api_components):\n raise ValueError(f\"{case['id']}: public API components must be identified\")\n for name in (\"step\", \"observe\", \"state_dict\"):\n if not callable(getattr(fixture, name, None)):\n raise TypeError(f\"{case['id']}: missing executable {name}\")\n return fixture\n\n\ndef array(value):\n if isinstance(value, torch.Tensor):\n value = value.detach().cpu().numpy()\n return np.asarray(value)\n\n\ndef validate_observation(observation):\n \"\"\"A metric exception/NaN can never silently earn a PASS.\"\"\"\n result = dict(observation)\n if type(result.get(\"passed\")) is not bool:\n raise ValueError(\"observation must contain a binary passed value\")\n metrics = result.get(\"metrics\")\n if not isinstance(metrics, dict) or not metrics:\n raise ValueError(\"numeric pass/fail metrics required\")\n failures = result.get(\"failed_bounds\")\n if not isinstance(failures, (list, tuple)) or any(not isinstance(x, str) for x in failures):\n raise ValueError(\"failed_bounds must identify rejected metric bounds\")\n failures = list(failures)\n normalized = {}\n for name, value in metrics.items():\n if isinstance(value, torch.Tensor) and value.numel() == 1:\n value = value.detach().cpu().item()\n if isinstance(value, np.generic):\n value = value.item()\n if not isinstance(value, (int, float, bool)):\n raise ValueError(f\"metric {name} must be scalar\")\n normalized[name] = value\n if not math.isfinite(value):\n failures.append(f\"{name}: nonfinite\")\n views = result.get(\"views\")\n if not isinstance(views, (list, tuple)) or not views:\n raise ValueError(\"goal-illustrating target/output views required\")\n for view in views:\n if view.get(\"kind\") not in {\"scatter\", \"image\", \"line\", \"bar\", \"text\"}:\n raise ValueError(\"unsupported goal view\")\n if not view.get(\"title\"):\n raise ValueError(\"goal view title required\")\n if \"row_labels\" in view and (view[\"kind\"] != \"image\" or\n not isinstance(view[\"row_labels\"], (list, tuple)) or\n len(view[\"row_labels\"]) != 2 or any(\n not isinstance(label, str) or not label for label in view[\"row_labels\"])):\n raise ValueError(\"image row labels must identify both displayed rows\")\n if view[\"kind\"] == \"text\":\n for role in (\"target\", \"sample\"):\n labels = view.get(f\"{role}_labels\")\n if not isinstance(labels, (list, tuple)) or not labels or any(\n not isinstance(label, str) for label in labels):\n raise ValueError(\"text goal views require decoded actual/reference labels\")\n for role in (\"target\", \"samples\"):\n values = array(view[role])\n if not values.size or not np.issubdtype(values.dtype, np.number):\n raise ValueError(f\"goal view {role} must contain finite actual values\")\n invalid = int((~np.isfinite(values)).sum())\n if invalid and role == \"target\":\n raise ValueError(\"goal reference must be finite\")\n if invalid:\n failures.append(f\"{view['title']}: {invalid} nonfinite output values\")\n normalized[\"nonfinite_output_values\"] = normalized.get(\"nonfinite_output_values\", 0) + invalid\n if view[\"kind\"] == \"image\" and (values.ndim not in (2, 3, 4) or\n (values.ndim == 4 and values.shape[1] not in (1, 3, 4))):\n raise ValueError(\"image goal views require a matrix or NCHW grayscale/RGB values; pack feature blocks explicitly\")\n result[\"metrics\"] = normalized\n result[\"failed_bounds\"] = sorted(set(failures))\n result[\"passed\"] = result[\"passed\"] and not result[\"failed_bounds\"]\n if not result[\"passed\"] and not result[\"failed_bounds\"]:\n raise ValueError(\"FAIL must identify at least one rejected metric bound\")\n return result\n\n\ndef evaluation_steps(steps, frames=9):\n _positive_integer(steps, \"steps\")\n _positive_integer(frames, \"frames\")\n return sorted({0, steps, *(math.ceil(steps * i / max(1, frames - 1))\n for i in range(1, frames))})\n" + }, + "benchmarks/toy_audit/api_run.py": { + "sha256": "b5f1e130e6daa4cfbf172b9beb13ab1e691c8fadba59d1aec58f74368df475d3", + "git_blob": "711efbc1988b0bdfaa8116ec8f2461cf883e9622", + "text": "\"\"\"Run public-API toy variants and render their actual target/output states.\n\nExample: python -m benchmarks.toy_audit.api_run --list\nRaw checkpoints, arrays and progress logs belong outside Git. The compact\nreceipt and final GIF can be published without pretending a short run is a\ncompleted default-budget quality test.\n\"\"\"\nfrom __future__ import annotations\n\nfrom .reproducibility import DEFAULT_SEED, VERSION as COMPARISON_VERSION, reproducible_execution\n\nimport argparse\nimport ast\nfrom concurrent.futures import ProcessPoolExecutor, as_completed\nfrom contextlib import contextmanager\nimport hashlib\nimport json\nimport math\nimport multiprocessing\nfrom pathlib import Path\nimport platform\nimport random\nimport subprocess\nimport sys\nimport textwrap\nimport time\n\nimport numpy as np\nimport torch\n\nfrom . import api_contract as contract\n\n\ndef file_hash(path):\n return hashlib.sha256(Path(path).read_bytes()).hexdigest()\n\n\ndef json_value(value):\n if isinstance(value, (np.generic,)):\n return json_value(value.item())\n if isinstance(value, torch.Tensor):\n return json_value(value.detach().cpu().tolist())\n if isinstance(value, np.ndarray):\n return json_value(value.tolist())\n if isinstance(value, dict):\n return {str(key): json_value(part) for key, part in value.items()}\n if isinstance(value, (tuple, list)):\n return [json_value(part) for part in value]\n if isinstance(value, float) and not math.isfinite(value):\n return str(value)\n return value\n\n\ndef write_json(path, value):\n from experiments.forge.contracts import atomic_json\n atomic_json(Path(path), json_value(value))\n\n\n@contextmanager\ndef isolated_evaluation():\n \"\"\"An evaluation cannot advance ambient training RNGs.\"\"\"\n python_state, numpy_state = random.getstate(), np.random.get_state()\n devices = list(range(torch.cuda.device_count())) if torch.cuda.is_initialized() else []\n try:\n with torch.random.fork_rng(devices=devices):\n yield\n finally:\n random.setstate(python_state)\n np.random.set_state(numpy_state)\n\n\ndef source_identity():\n root = contract.ROOT\n paths = set((root / \"particlegan\").glob(\"*.py\"))\n paths.update((root / \"benchmarks/toy_audit\").glob(\"api_*.py\"))\n paths.update((root / \"benchmarks/toy_audit/api_sources\").glob(\"*.py\"))\n # The policy-family study binds the complete frozen native target source,\n # including helpers which a particular provider may import lazily.\n paths.update((root / \"benchmarks/toy100\").glob(\"*.py\"))\n paths.add(root / \"experiments/forge/configuration_search.py\")\n paths.update(root / f\"experiments/forge/{name}.py\" for name in (\"policy_execution\", \"queue\", \"sources\", \"contracts\"))\n # Native example hosts are also loaded with runpy; that does not retain a\n # module in sys.modules, so bind their code explicitly.\n paths.update((root / \"examples\").glob(\"e22_*.py\"))\n for module in list(sys.modules.values()):\n filename = getattr(module, \"__file__\", None)\n if filename:\n path = Path(filename).resolve()\n if path.suffix == \".py\" and path.is_relative_to(root) and path.is_file():\n paths.add(path)\n sources = {str(path.relative_to(root)): file_hash(path) for path in sorted(paths)}\n snapshot = root / \"forge-source.json\"\n head = (json.loads(snapshot.read_text())[\"origin_commit\"] if snapshot.is_file() else\n subprocess.run([\"git\", \"rev-parse\", \"HEAD\"], cwd=root, check=True,\n text=True, capture_output=True).stdout.strip())\n return {\"commit\": head, \"files_sha256\": sources}\n\n\ndef _points(values):\n values = contract.array(values)\n if values.ndim == 1:\n return np.column_stack((np.arange(len(values)), values))\n if values.ndim > 2 and values.shape[-1] == 2:\n return values.reshape(-1, 2)\n values = values.reshape(len(values), -1)\n if values.shape[1] == 1:\n return np.column_stack((np.arange(len(values)), values[:, 0]))\n return values[:, :2]\n\n\ndef _line_paths(values):\n values = contract.array(values)\n if values.ndim > 2 and values.shape[-1] == 2:\n return list(values.reshape(-1, values.shape[-2], 2))\n return [_points(values)]\n\n\ndef _image_grid(values, limit=8):\n values = contract.array(values)\n if values.ndim == 2:\n values = values[None, None]\n elif values.ndim == 3:\n values = values[:, None]\n if values.ndim != 4 or values.shape[1] not in (1, 3, 4):\n raise ValueError(\"image goal views require NCHW grayscale/RGB values\")\n images = np.moveaxis(values[:limit], 1, -1)\n if images.shape[-1] == 1:\n images = images[..., 0]\n spacer_shape = (images.shape[1], 1, *images.shape[3:])\n spacer = np.full(spacer_shape, .5)\n joined = []\n for index, image in enumerate(images):\n if index:\n joined.append(spacer)\n joined.append(image)\n return np.concatenate(joined, axis=1)\n\n\ndef _view_limits(records, roles=(\"target\", \"samples\")):\n bounds = {}\n for record in records:\n for index, view in enumerate(record[\"views\"]):\n if view[\"kind\"] in {\"image\", \"text\"}:\n continue\n for role in roles:\n points = _points(view[role])\n points = points[np.isfinite(points).all(1)]\n if len(points):\n low, high = points.min(0), points.max(0)\n if index in bounds:\n low, high = np.minimum(bounds[index][0], low), np.maximum(bounds[index][1], high)\n bounds[index] = (low, high)\n return bounds\n\n\ndef _wrapped(text, width, measure):\n \"\"\"Wrap by rendered glyph width, including long IDs and explicit newlines.\"\"\"\n lines = []\n for paragraph in str(text).split(\"\\n\"):\n line = \"\"\n for word in paragraph.split():\n candidate = line + (\" \" if line else \"\") + word\n if measure(candidate) <= width:\n line = candidate\n continue\n if line:\n lines.append(line)\n line = \"\"\n while measure(word) > width:\n low, high = 1, len(word)\n while low < high:\n mid = (low + high + 1) // 2\n if measure(word[:mid]) <= width:\n low = mid\n else:\n high = mid - 1\n lines.append(word[:low])\n word = word[low:]\n line = word\n lines.append(line)\n return \"\\n\".join(lines)\n\n\ndef _physical_geometry(view):\n \"\"\"Equal units for spatial coordinates, not sample indices or time series.\"\"\"\n if view.get(\"aspect\") in (\"equal\", \"auto\"):\n return view[\"aspect\"] == \"equal\"\n coordinates = {\"\", \"x\", \"y\", \"x position\", \"y position\", \"position x\", \"position y\"}\n if any(view.get(label, \"\").lower().strip() not in coordinates for label in (\"xlabel\", \"ylabel\")):\n return False\n target = contract.array(view[\"target\"])\n if view[\"kind\"] == \"scatter\":\n return target.ndim >= 2 and np.prod(target.shape[1:]) >= 2\n return view[\"kind\"] == \"line\" and target.ndim > 2 and target.shape[-1] == 2\n\n\ndef _display_views(case, records, reference_bounds, annotations):\n \"\"\"Prepare display-only labels/layout without modifying retained records.\"\"\"\n prepared = []\n for record in records:\n views = []\n for index, original in enumerate(record[\"views\"]):\n view = dict(original)\n target, samples = contract.array(view[\"target\"]), contract.array(view[\"samples\"])\n if case[\"id\"].startswith(\"api-critic-lag-\") and view[\"kind\"] == \"image\":\n if target.ndim != 4 or target.shape != samples.shape or target.shape[1:-1] not in ((2, 1), (1, 2)):\n raise ValueError(\"critic feature view requires two grayscale rows per context\")\n before = {\"target_shape\": list(target.shape), \"sample_shape\": list(samples.shape)}\n contexts = len(target)\n target = target.reshape(1, 1, -1, target.shape[-1])\n samples = samples.reshape(1, 1, -1, samples.shape[-1])\n view[\"caption\"] = (view.get(\"caption\", \"\") +\n f\" Each displayed context occupies two adjacent grayscale feature rows; first {contexts} contexts. They are not color channels.\")\n annotations.append({\"step\": record[\"step\"], \"view\": index,\n \"lossless_feature_layout\": {**before, \"display_target_shape\": list(target.shape),\n \"display_sample_shape\": list(samples.shape), \"values_modified\": False}})\n if case[\"id\"] == \"api-circle-controller\" and view[\"kind\"] == \"line\":\n low, high = reference_bounds[index]\n margin = .08 * np.maximum(high - low, .1)\n view[\"xlim\"] = [float(low[0] - margin[0]), float(high[0] + margin[0])]\n view[\"ylim\"] = [float(low[1] - margin[1]), float(high[1] + margin[1])]\n points = _points(samples)\n outside = int(((points < low - margin) | (points > high + margin)).any(1).sum())\n view[\"caption\"] = (view.get(\"caption\", \"\") +\n f\" Axes show the reference band; {outside}/{len(points)} retained predicted states lie outside. The gate scores the complete rollout.\")\n annotations.append({\"step\": record[\"step\"], \"view\": index,\n \"reference_camera\": {\"xlim\": view[\"xlim\"], \"ylim\": view[\"ylim\"]},\n \"outside_view_states\": outside, \"retained_view_states\": len(points)})\n if view[\"kind\"] == \"image\" and target.ndim == samples.ndim == 2:\n view[\"caption\"] = (view.get(\"caption\", \"\") +\n f\" Feature matrix: all {len(target)} reference and {len(samples)} output rows are retained; columns are feature coordinates, not image pixels.\")\n annotations.append({\"step\": record[\"step\"], \"view\": index,\n \"feature_matrix\": {\"target_shape\": list(target.shape),\n \"sample_shape\": list(samples.shape),\n \"aspect\": \"auto\", \"values_modified\": False}})\n view.update(target=target, samples=samples)\n views.append(view)\n prepared.append(views)\n return prepared\n\n\ndef _render_layout(case, records, prepared, columns, rows, full_budget, requested_steps, final_verdict):\n \"\"\"Reserve text space in inches, consistently across every actual frame.\"\"\"\n from matplotlib.backends.backend_agg import RendererAgg\n from matplotlib.font_manager import FontProperties\n renderer = RendererAgg(1, 1, 100)\n total_width = (4.6 * columns * .98 - 4.6 * .22) * 100\n panel_width = total_width / (columns + .45 * (columns - 1))\n def wrap(text, pixels, size, weight=\"normal\"):\n font = FontProperties(size=size, weight=weight)\n return _wrapped(text, pixels, lambda line: renderer.get_text_width_height_descent(line, font, False)[0])\n goal = wrap(case[\"goal\"], total_width * .96, 11)\n titles = [[wrap(view[\"title\"], panel_width * .96, 10) for view in views] for views in prepared]\n captions = [[wrap(view.get(\"caption\", \"\"), panel_width * .96, 7) for view in views] for views in prepared]\n badge = wrap(f\"Default test {final_verdict}\", total_width * .96, 10, \"bold\") if final_verdict is not None else \"\"\n footer = []\n budget = \"default protocol\" if full_budget else f\"short run; default {case['default_steps']} updates\"\n for record in records:\n instant = \"PASS\" if record[\"passed\"] else \"FAIL\"\n timeline = wrap(f\"{case['id']} | update {record['step']}/{requested_steps} | metric {instant} | {budget}\", total_width * .96, 8)\n metrics = \"; \".join(f\"{name}={value:.4g}\" for name, value in list(record[\"metrics\"].items())[:6])\n footer.append(timeline + \"\\n\" + wrap(metrics, total_width * .96, 8))\n heights = [.16 + .19 * (goal.count(\"\\n\") + 1)]\n for row in range(rows):\n indices = range(row * columns, min((row + 1) * columns, max(map(len, prepared))))\n title_lines = max(t[index].count(\"\\n\") + 1 for t in titles for index in indices if index < len(t))\n caption_lines = max(c[index].count(\"\\n\") + 1 if c[index] else 0 for c in captions for index in indices if index < len(c))\n # Title, plot, tick/xlabel clearance, caption, inter-row space.\n heights.extend((.10 + .17 * title_lines, 2.9, .48, .12 + .135 * caption_lines, .13))\n footer_lines = max(text.count(\"\\n\") + 1 for text in footer)\n badge_height = .24 * (badge.count(\"\\n\") + 1) if badge else 0\n heights.append(.16 + .155 * footer_lines + badge_height)\n return dict(goal=goal, titles=titles, captions=captions, footer=footer, heights=heights,\n badge=badge, badge_height=badge_height)\n\n\ndef render_gif(case, records, path, *, full_budget, requested_steps, final_verdict=None):\n \"\"\"Reference and actual outputs share fixed axes across real observations.\"\"\"\n import matplotlib\n matplotlib.use(\"Agg\")\n from matplotlib import pyplot as plt\n from matplotlib.gridspec import GridSpec\n from matplotlib.patches import Circle\n from PIL import Image\n\n views_count = max(len(record[\"views\"]) for record in records)\n columns = min(3, views_count)\n rows = math.ceil(views_count / columns)\n fixed = _view_limits(records)\n reference_bounds = _view_limits(records, roles=(\"target\",))\n annotations = []\n prepared = _display_views(case, records, reference_bounds, annotations)\n layout = _render_layout(case, records, prepared, columns, rows, full_budget, requested_steps, final_verdict)\n frames = []\n for frame_index, record in enumerate(records):\n height = sum(layout[\"heights\"]) + .20\n fig = plt.figure(figsize=(4.6 * columns, height), dpi=100)\n layout_grid = GridSpec(len(layout[\"heights\"]), columns, figure=fig,\n height_ratios=layout[\"heights\"], left=.22 / columns, right=.98,\n bottom=.10 / height, top=1 - .10 / height, hspace=0, wspace=.45)\n heading = fig.add_subplot(layout_grid[0, :]); heading.set_axis_off()\n heading.text(.5, .95, layout[\"goal\"], transform=heading.transAxes,\n ha=\"center\", va=\"top\", fontsize=11, linespacing=1.15)\n for index, view in enumerate(prepared[frame_index]):\n row, column = divmod(index, columns)\n title_ax = fig.add_subplot(layout_grid[1 + row * 5, column]); title_ax.set_axis_off()\n title_ax.text(.5, .85, layout[\"titles\"][frame_index][index], transform=title_ax.transAxes,\n ha=\"center\", va=\"top\", fontsize=10, linespacing=1.15)\n ax = fig.add_subplot(layout_grid[2 + row * 5, column])\n target, samples = contract.array(view[\"target\"]), contract.array(view[\"samples\"])\n if view[\"kind\"] == \"text\":\n reference = \"Desired words\\n\" + \"\\n\".join(view[\"target_labels\"][:8])\n generated = \"Actual decoded output\\n\" + \"\\n\".join(view[\"sample_labels\"][:8])\n ax.text(.03, .93, reference, transform=ax.transAxes, va=\"top\",\n fontsize=7.5 if rows > 1 else 10, family=\"monospace\", color=\"#586a80\")\n ax.text(.53, .93, generated, transform=ax.transAxes, va=\"top\",\n fontsize=7.5 if rows > 1 else 10, family=\"monospace\", color=\"#aa254c\")\n ax.set_axis_off()\n elif view[\"kind\"] == \"image\":\n top, bottom = _image_grid(target), _image_grid(samples)\n width = max(top.shape[1], bottom.shape[1])\n def pad(image):\n return np.pad(image, ((0, 0), (0, width - image.shape[1]),\n *((0, 0),) * (image.ndim - 2)), constant_values=.5)\n top, bottom = pad(top), pad(bottom)\n spacer = np.full((1, width, *top.shape[2:]), .5)\n grid = np.concatenate((top, spacer, bottom))\n if grid.ndim == 3:\n vmin, vmax = view.get(\"vmin\", 0), view.get(\"vmax\", 1)\n grid = np.clip((grid - vmin) / max(vmax - vmin, 1e-12), 0, 1)\n ax.imshow(np.ma.masked_invalid(grid), cmap=\"gray\", vmin=view.get(\"vmin\", 0),\n vmax=view.get(\"vmax\", 1), interpolation=\"nearest\",\n aspect=\"auto\" if target.ndim == samples.ndim == 2 else \"equal\")\n ax.set_xticks([])\n ax.set_yticks([top.shape[0] / 2, top.shape[0] + 1 + bottom.shape[0] / 2],\n view.get(\"row_labels\", [\"Desired\", \"API output\"]), fontsize=8)\n elif view[\"kind\"] == \"bar\":\n a, b = target.reshape(-1), samples.reshape(-1)\n if len(a) != len(b):\n raise ValueError(\"bar goal reference and output must have matching bins\")\n x = np.asarray(view.get(\"bin_centers\", np.arange(len(a))))\n if x.shape != a.shape or not np.isfinite(x).all():\n raise ValueError(\"bar bin centers must match finite reference bins\")\n width = view.get(\"bin_width\", 1.)\n if not isinstance(width, (int, float)) or not math.isfinite(width) or width <= 0:\n raise ValueError(\"bar bin width must be finite and positive\")\n ax.bar(x - .18 * width, a, width=.36 * width, color=\"#9ba8b6\", label=\"Desired\")\n ax.bar(x + .18 * width, b, width=.36 * width, color=\"#ce476a\", label=\"API output\")\n ax.legend(fontsize=7)\n if index in fixed:\n ax.set_ylim(min(0, float(fixed[index][0][1]) * 1.08),\n max(.05, float(fixed[index][1][1]) * 1.08))\n else:\n for values, color, label in ((target, \"#91a0b0\", \"Desired/reference\"),\n (samples, \"#ce476a\", \"API output\")):\n points = _points(values)\n points = points[np.isfinite(points).all(1)]\n if view[\"kind\"] == \"line\":\n for path_index, actual_path in enumerate(_line_paths(values)[:12]):\n actual_path = actual_path[np.isfinite(actual_path).all(1)]\n ax.plot(actual_path[:, 0], actual_path[:, 1], color=color,\n label=label if path_index == 0 else None, linewidth=1.1, alpha=.75)\n else:\n ax.scatter(points[:, 0], points[:, 1], color=color, label=label,\n s=4, alpha=.55, rasterized=True)\n if index in fixed:\n low, high = fixed[index]\n span = np.maximum(high - low, .1)\n ax.set_xlim(*(view.get(\"xlim\") or [low[0] - .06 * span[0], high[0] + .06 * span[0]]))\n ax.set_ylim(*(view.get(\"ylim\") or [low[1] - .06 * span[1], high[1] + .06 * span[1]]))\n ax.legend(fontsize=7, loc=\"best\")\n if case[\"id\"] in {\"api-routes-discrete\", \"api-routes-continuous\"}:\n raw_geometry = view.get(\"caption\", \"\").partition(\"obstacle center/radius=\")[2]\n if raw_geometry:\n geometry = ast.literal_eval(raw_geometry)\n if len(geometry) != 3 or not all(math.isfinite(x) for x in geometry) or geometry[2] <= 0:\n raise ValueError(\"retained route obstacle geometry is invalid\")\n ax.add_patch(Circle(geometry[:2], geometry[2], facecolor=\"#d9cbb5\",\n edgecolor=\"#7a6040\", alpha=.6))\n annotations.append({\"step\": record[\"step\"], \"view\": index,\n \"reference_obstacle\": {\"center\": geometry[:2], \"radius\": geometry[2]}})\n if view.get(\"xlim\"):\n ax.set_xlim(*view[\"xlim\"])\n if view.get(\"ylim\"):\n ax.set_ylim(*view[\"ylim\"])\n if view.get(\"yscale\"):\n ax.set_yscale(view[\"yscale\"])\n if _physical_geometry(view):\n ax.set_aspect(\"equal\", adjustable=\"box\")\n ax.set_xlabel(view.get(\"xlabel\", \"\"), fontsize=8)\n ax.set_ylabel(view.get(\"ylabel\", \"\"), fontsize=8)\n invalid = int((~np.isfinite(samples)).sum())\n if invalid:\n ax.text(.5, .5, f\"FAIL: {invalid} nonfinite output values\", transform=ax.transAxes,\n ha=\"center\", color=\"#a31436\", bbox={\"facecolor\": \"white\", \"alpha\": .9})\n caption_ax = fig.add_subplot(layout_grid[4 + row * 5, column]); caption_ax.set_axis_off()\n caption_ax.text(.5, .95, layout[\"captions\"][frame_index][index], transform=caption_ax.transAxes,\n ha=\"center\", va=\"top\", fontsize=7, linespacing=1.15)\n footer_ax = fig.add_subplot(layout_grid[-1, :]); footer_ax.set_axis_off()\n footer_y = .95\n if final_verdict is not None:\n footer_ax.text(0, footer_y, layout[\"badge\"], transform=footer_ax.transAxes,\n va=\"top\", fontsize=10, fontweight=\"bold\",\n color=\"#26713d\" if final_verdict == \"PASS\" else \"#a31436\")\n footer_y -= layout[\"badge_height\"] / layout[\"heights\"][-1]\n footer_ax.text(0, footer_y, layout[\"footer\"][frame_index], transform=footer_ax.transAxes,\n va=\"top\", fontsize=8, linespacing=1.15)\n fig.canvas.draw()\n pixels = np.asarray(fig.canvas.buffer_rgba())[..., :3].copy()\n frames.append(Image.fromarray(pixels).convert(\"P\", palette=Image.Palette.ADAPTIVE))\n plt.close(fig)\n durations = [260] * len(frames)\n durations[-1] = 1800\n frames[0].save(path, save_all=True, append_images=frames[1:], duration=durations,\n loop=0, disposal=2, optimize=False)\n with Image.open(path) as decoded:\n if decoded.n_frames != len(records):\n raise ValueError(\"GIF discarded an actual observation\")\n for frame in frames:\n frame.close()\n return {\"default_verdict_displayed\": final_verdict,\n \"goal_annotations\": annotations, \"numeric_observations_changed\": False}\n\n\n@reproducible_execution\ndef run_case(case, output, *, device=\"cpu\", recipe_name=None, steps=None,\n eval_samples=None, frames=9, seed=DEFAULT_SEED, recipe_overrides=None, wall_cap_seconds=None,\n recipe=None, audit_fixture=None):\n output = Path(output)\n output.mkdir(parents=True, exist_ok=False)\n steps = case[\"default_steps\"] if steps is None else steps\n samples = case[\"eval_samples\"] if eval_samples is None else eval_samples\n if type(samples) is not int or samples < 1:\n raise ValueError(\"evaluation sample count must be positive\")\n if wall_cap_seconds is not None and (isinstance(wall_cap_seconds, bool)\n or not isinstance(wall_cap_seconds, (int, float)) or not math.isfinite(wall_cap_seconds)\n or wall_cap_seconds <= 0):\n raise ValueError(\"wall cap must be finite positive seconds\")\n boundaries = contract.evaluation_steps(steps, frames)\n metric_count = contract.metric_observations(case)\n metric_steps = contract.evaluation_steps(steps, min(steps, metric_count) + 1)\n evaluation_steps = sorted(set(boundaries) | set(metric_steps))\n required_terminal = case.get(\"terminal_observations\", 5)\n receipt = {\"schema\": \"particlegan_api_toy_run_v1\", \"case\": case,\n \"recipe\": None, \"requested_recipe_overrides\": json_value(recipe_overrides or {}), \"api_components\": [],\n \"source\": source_identity(), \"seed\": seed,\n \"runtime\": {\"python\": platform.python_version(), \"torch\": str(torch.__version__),\n \"device\": str(device), \"cuda\": torch.version.cuda,\n \"autograd_multithreading_enabled\": torch.autograd.is_multithreading_enabled(),\n \"torch_threads\": torch.get_num_threads()},\n \"protocol\": {\"updates\": steps, \"default_updates\": case[\"default_steps\"],\n \"evaluation_samples\": samples, \"default_evaluation_samples\": case[\"eval_samples\"],\n \"evaluation_steps\": evaluation_steps,\n \"metric_evaluation_steps\": metric_steps, \"media_steps\": boundaries,\n \"metric_observations\": metric_count, \"media_frames\": frames,\n \"terminal_observations\": required_terminal,\n \"wall_cap_seconds\": wall_cap_seconds},\n \"timing\": {\"method\": \"monotonic elapsed execution; CUDA synchronized at observations\",\n \"start\": \"immediately before fixture construction\",\n \"includes\": \"fixture initialization, updates, source binding, sampling and evaluation\",\n \"excludes\": \"initial inventory/queue wait and post-run artifact/media export\"},\n \"historical_results_changed\": False, \"observations\": []}\n receipt[\"runtime\"].update(deterministic_algorithms=torch.are_deterministic_algorithms_enabled(),\n cudnn_benchmark=torch.backends.cudnn.benchmark,\n matmul_tf32=torch.backends.cuda.matmul.allow_tf32,\n cudnn_tf32=torch.backends.cudnn.allow_tf32)\n full = (steps >= case[\"default_steps\"] and samples >= case[\"eval_samples\"]\n and len(metric_steps) - 1 >= metric_count)\n records, arrays = [], {}\n started = time.monotonic()\n completed = 0\n fixture = None\n def capture(step):\n from experiments.forge.state import state_digest\n check_state = case.get(\"provider\") in contract.MODEL_PROVIDERS\n before = state_digest(fixture.state_dict()) if check_state else None\n with isolated_evaluation():\n record = contract.validate_observation(fixture.observe(n=samples, seed=seed + 10000))\n if check_state and state_digest(fixture.state_dict()) != before:\n raise ValueError(\"model toy evaluation changed training state or consumed a training RNG\")\n if torch.device(device).type == \"cuda\":\n torch.cuda.synchronize(torch.device(device))\n record.update(step=step, elapsed_seconds=time.monotonic() - started)\n for index, view in enumerate(record[\"views\"]):\n for role in (\"target\", \"samples\"):\n view[role] = contract.array(view[role]).copy()\n arrays[f\"step{step}_view{index}_{role}\"] = view[role]\n records.append(record)\n compact = {key: value for key, value in record.items() if key != \"views\"}\n compact[\"views\"] = [{key: value for key, value in view.items()\n if key not in {\"target\", \"samples\"}} for view in record[\"views\"]]\n receipt[\"observations\"].append(compact)\n print(json.dumps({\"case\": case[\"id\"], \"step\": step, \"metric_passed\": record[\"passed\"],\n \"elapsed_seconds\": record[\"elapsed_seconds\"],\n \"failed_bounds\": record[\"failed_bounds\"][:5]}, allow_nan=False), flush=True)\n try:\n options = {\"recipe_overrides\": recipe_overrides} if recipe_overrides else {}\n fixture = contract.build(case, device=device, seed=seed, recipe_name=recipe_name, max_steps=steps,\n recipe=recipe, **options)\n if audit_fixture is not None:\n audit_fixture(fixture)\n from experiments.forge.state import state_digest\n receipt[\"reproducibility\"] = {\n \"comparison_version\": COMPARISON_VERSION,\n \"initial_state_sha256\": state_digest(fixture.state_dict()),\n \"conditions\": \"case-owned architecture, prior, sampling, batch size, update budget and scoring cadence\",\n \"historical_evidence\": \"original source, seed and initialization retained; no regrading\",\n }\n owner = getattr(fixture, \"trainer\", None) or fixture\n receipt[\"reproducibility\"][\"initial_models\"] = {\n name: state_digest(module.state_dict()) for name in (\"G\", \"D\", \"E\", \"prior\")\n if isinstance(module := getattr(owner, name, None), torch.nn.Module)}\n receipt[\"recipe\"] = json_value(fixture.recipe.to_dict())\n receipt[\"api_components\"] = list(fixture.api_components)\n if torch.device(device).type == \"cuda\":\n receipt[\"runtime\"][\"cuda_device_model\"] = torch.cuda.get_device_name(torch.device(device))\n receipt[\"source\"] = source_identity()\n for step in range(steps + 1):\n if wall_cap_seconds is not None and time.monotonic() - started >= wall_cap_seconds:\n raise TimeoutError(\"declared wall cap reached; unchanged full protocol is incomplete\")\n if step:\n fixture.step()\n completed = step\n if step not in evaluation_steps:\n continue\n capture(step)\n if wall_cap_seconds is not None and time.monotonic() - started >= wall_cap_seconds:\n raise TimeoutError(\"declared wall cap reached; complete acquisition exceeded the frozen resource allowance\")\n terminal = [record for record in records if record[\"step\"] > 0\n and record[\"step\"] in metric_steps][-required_terminal:]\n sustained = len(terminal) == required_terminal and all(record[\"passed\"] for record in terminal)\n failed = list(records[-1][\"failed_bounds\"])\n if not full:\n failed.append(\"default budget, evaluation draw count or metric cadence not completed\")\n if not sustained:\n failed.append(f\"last {required_terminal} post-update metric observations do not all pass\")\n receipt.update(status=\"COMPLETE\", metric_passed=records[-1][\"passed\"],\n sustained_metric_passed=sustained, default_protocol_complete=full,\n passed=full and sustained, verdict=\"PASS\" if full and sustained else \"FAIL\",\n failed_bounds=failed, completed_updates=completed)\n except Exception as error:\n status = (\"INCOMPLETE\" if isinstance(error, TimeoutError) else\n \"BLOCKED\" if isinstance(error, contract.UnsupportedRecipeOverrides) else \"ERROR\")\n receipt.update(status=status, passed=False, verdict=\"FAIL\",\n failed_bounds=[f\"API execution or metric error: {type(error).__name__}: {error}\"],\n completed_updates=completed, default_protocol_complete=False)\n if isinstance(error, TimeoutError) and fixture is not None and completed > 0 and (\n not records or records[-1][\"step\"] != completed):\n try:\n capture(completed) # Actual terminal state; never another update.\n receipt[\"partial_terminal_observation_added\"] = True\n except Exception as capture_error:\n receipt[\"failed_bounds\"].append(f\"partial goal observation unavailable: {capture_error}\")\n receipt[\"elapsed_seconds\"] = time.monotonic() - started\n if \"reproducibility\" in receipt and hasattr(fixture, \"batch_sequence_sha256\"):\n receipt[\"reproducibility\"][\"batch_sequence_sha256\"] = fixture.batch_sequence_sha256\n receipt[\"artifacts\"] = {}\n receipt[\"gif_frames\"] = 0\n if records:\n try:\n np.savez_compressed(output / \"observations.npz\", **arrays)\n receipt[\"artifacts\"][\"observations.npz\"] = {\n \"sha256\": file_hash(output / \"observations.npz\"),\n \"bytes\": (output / \"observations.npz\").stat().st_size}\n torch.save(fixture.state_dict(), output / \"final-state.pt\")\n receipt[\"artifacts\"][\"final-state.pt\"] = {\n \"sha256\": file_hash(output / \"final-state.pt\"),\n \"bytes\": (output / \"final-state.pt\").stat().st_size}\n gif = output / \"goal.gif\"\n media_records = [record for record in records if record[\"step\"] in boundaries]\n if receipt[\"status\"] != \"COMPLETE\" and not any(\n record[\"step\"] == records[-1][\"step\"] for record in media_records):\n media_records.append(records[-1])\n render_gif(case, media_records, gif,\n full_budget=receipt.get(\"default_protocol_complete\", False), requested_steps=steps,\n final_verdict=(receipt[\"verdict\"] if receipt[\"status\"] == \"COMPLETE\" else\n f\"{receipt['status']} / FAIL: {receipt['failed_bounds'][0]}\"))\n receipt[\"artifacts\"][\"goal.gif\"] = {\"sha256\": file_hash(gif), \"bytes\": gif.stat().st_size}\n receipt[\"gif_frames\"] = len(media_records)\n except Exception as error:\n receipt.update(passed=False, verdict=\"FAIL\", status=\"ERROR\")\n receipt[\"failed_bounds\"].append(f\"goal media/state error: {type(error).__name__}: {error}\")\n receipt[\"source_unchanged\"] = all((contract.ROOT / path).is_file() and\n file_hash(contract.ROOT / path) == expected\n for path, expected in receipt[\"source\"][\"files_sha256\"].items())\n if not receipt[\"source_unchanged\"]:\n receipt.update(passed=False, verdict=\"FAIL\", status=\"ERROR\")\n receipt[\"failed_bounds\"].append(\"source changed during execution\")\n write_json(output / \"receipt.json\", receipt)\n return receipt\n\n\ndef inventory(cases):\n historical = json.loads((contract.ROOT / \"reports/toy_audit/catalog.json\").read_text())[\"cases\"]\n expected = [case[\"id\"] for case in historical] + [\"pr231\"]\n return {\"schema\": \"particlegan_api_toy_inventory_v1\", \"coverage\": contract.coverage(cases, expected),\n \"cases\": list(cases.values()),\n \"contract\": \"Public ParticleGAN execution, fixed binary metrics, actual goal-reference/output GIFs\"}\n\n\ndef _execute_request(request):\n case, output, options = request\n torch.set_num_threads(1)\n result = run_case(case, output, **options)\n return {\"id\": case[\"id\"], \"verdict\": result[\"verdict\"], \"status\": result[\"status\"],\n \"metric_passed\": result.get(\"metric_passed\", False),\n \"default_protocol_complete\": result[\"default_protocol_complete\"],\n \"completed_updates\": result[\"completed_updates\"],\n \"receipt\": str(Path(output) / \"receipt.json\")}\n\n\ndef main(argv=None):\n parser = argparse.ArgumentParser(description=__doc__)\n parser.add_argument(\"--list\", action=\"store_true\", help=\"List executable variants and goals\")\n parser.add_argument(\"--inventory\", type=Path, help=\"Write the complete compact coverage ledger\")\n parser.add_argument(\"--case\", action=\"append\", default=[])\n parser.add_argument(\"--all\", action=\"store_true\")\n parser.add_argument(\"--output\", type=Path)\n parser.add_argument(\"--device\", default=\"cpu\")\n parser.add_argument(\"--recipe\", default=\"auto\")\n parser.add_argument(\"--recipe-overrides\", type=json.loads, help=\"Explicit JSON object of public Recipe tuning knobs\")\n parser.add_argument(\"--wall-cap-seconds\", type=float, help=\"Bound execution; a capped run cannot qualify a full protocol\")\n parser.add_argument(\"--steps\", type=int, help=\"Explicitly bounded run; short runs never qualify the default budget\")\n parser.add_argument(\"--eval-samples\", type=int)\n parser.add_argument(\"--frames\", type=int, default=9)\n parser.add_argument(\"--jobs\", type=int, default=1, help=\"Independent CPU case workers; each uses one Torch thread\")\n args = parser.parse_args(argv)\n torch.set_num_threads(1)\n cases = contract.discover()\n if args.list:\n for case in cases.values():\n print(f\"{case['id']}\\t{case['goal']}\")\n if args.inventory:\n write_json(args.inventory, inventory(cases))\n selected = list(cases) if args.all else args.case\n if not selected:\n if args.list or args.inventory:\n return 0\n parser.error(\"choose --list, --inventory, --case or --all\")\n if not args.output:\n parser.error(\"--output is required for actual execution\")\n if args.jobs < 1 or (args.jobs > 1 and torch.device(args.device).type != \"cpu\"):\n parser.error(\"--jobs must be positive; parallel case workers require CPU\")\n unknown = set(selected) - set(cases)\n if unknown:\n parser.error(f\"unknown cases: {sorted(unknown)}\")\n requests = [(cases[name], args.output / name,\n dict(device=args.device, recipe_name=None if args.recipe == \"auto\" else args.recipe,\n steps=None if args.steps is None else min(args.steps, cases[name][\"default_steps\"]),\n eval_samples=args.eval_samples, frames=args.frames,\n recipe_overrides=args.recipe_overrides, wall_cap_seconds=args.wall_cap_seconds,\n seed=cases[name].get(\"protocol_seed\", DEFAULT_SEED))) for name in selected]\n results = []\n if args.jobs == 1:\n iterator = map(_execute_request, requests)\n for result in iterator:\n results.append(result)\n write_json(args.output / \"summary.json\", {\"cases\": results})\n else:\n with ProcessPoolExecutor(max_workers=args.jobs, mp_context=multiprocessing.get_context(\"spawn\")) as pool:\n futures = [pool.submit(_execute_request, request) for request in requests]\n for future in as_completed(futures):\n result = future.result()\n results.append(result)\n write_json(args.output / \"summary.json\", {\"cases\": results})\n print(json.dumps({\"finished_case\": result[\"id\"], \"verdict\": result[\"verdict\"],\n \"status\": result[\"status\"], \"finished_cases\": len(results),\n \"total_cases\": len(requests)}), flush=True)\n write_json(args.output / \"summary.json\", {\"cases\": results})\n return 0 if all(result[\"verdict\"] == \"PASS\" for result in results) else 1\n\n\nif __name__ == \"__main__\":\n raise SystemExit(main())\n" + } + } } } diff --git a/tests/legacy_toy_comparisons.py b/tests/legacy_toy_comparisons.py index e4e328de5..67dc15d84 100644 --- a/tests/legacy_toy_comparisons.py +++ b/tests/legacy_toy_comparisons.py @@ -45,15 +45,19 @@ def archived_runner_source(runner, tmp_path, monkeypatch): def archived_cases(names, monkeypatch): - found = CURRENT_DISCOVERY() + # These are the original cards, not today's cards with fields removed. + # Production discovery and frozen runner pins stay independent of this + # metadata-only software fixture; constructing today's models is a separate + # control with no historical replay or qualification credit. + receipt = json.loads((DISCOVERY_FIXTURES / "critic-generator-case-cards-provenance.json").read_text()) + data = (DISCOVERY_FIXTURES / receipt["fixture"]).read_bytes() + assert hashlib.sha256(data).hexdigest() == receipt["sha256"] + found = json.loads(data) + assert set(found) == set(receipt["case_sha256"]) + for name, card in found.items(): + encoded = json.dumps(card, sort_keys=True, separators=(",", ":")).encode() + assert hashlib.sha256(encoded).hexdigest() == receipt["case_sha256"][name] cards = {name: found[name] for name in names} - for case in cards.values(): - case.pop("protocol_seed", None) - case.pop("comparison_version", None) - if case["provider"] == "api_vectors": - case.pop("initialization", None) - if case.get("kind") == "native100" and isinstance(case.get("thresholds", {}).get("native"), dict): - case["thresholds"]["native"]["min_precision"] = 0.97 # Archived coordinators verify their original hard-coded case hashes. # Their parser tests retain the old seed without modifying live defaults. monkeypatch.setattr(api_contract, "discover", lambda: deepcopy(cards)) diff --git a/tests/pr_integration_compat.py b/tests/pr_integration_compat.py new file mode 100644 index 000000000..392ce8f94 --- /dev/null +++ b/tests/pr_integration_compat.py @@ -0,0 +1,103 @@ +"""Verify every PR integration layer against exact archived task/source bytes.""" +from copy import deepcopy +from hashlib import sha256 +import json +from pathlib import Path +import re +import subprocess + + +INTEGRATION = re.compile(r"pr-\d+-(?:develop-integration-20261108|audit-develop-integration-20261109)$") +COMBINED_INTEGRATION = "reviewed-model-prs-integration-20261109" + + +def _binding(task): + evaluation = task.get("evaluation", {}) + combined = evaluation.get("integration_source_binding") + if isinstance(combined, dict) and combined.get("id") == COMBINED_INTEGRATION: + return "integration_source_binding", combined + for field in ("evaluator_revision", "integration_source_binding"): + value = evaluation.get(field) + if isinstance(value, dict) and INTEGRATION.fullmatch(value.get("id", "")): + return field, value + return None, None + + +def before_pr_integration(root, current, relative): + root = Path(root) + raw = (root / relative).read_bytes() + source_commit = None + while True: + field, binding = _binding(current) + if binding is None: + return current + assert json.loads(raw) == current + previous_raw = subprocess.check_output( + ["git", "show", binding["previous_task_commit"] + ":" + relative], cwd=root) + assert binding["previous_task_path"] == relative + assert sha256(previous_raw).hexdigest() == binding["previous_task_sha256"] + import hashlib + assert hashlib.sha1(f"blob {len(previous_raw)}\0".encode() + previous_raw).hexdigest() == binding["previous_task_blob"] + previous = json.loads(previous_raw) + default = "reports/forge/pr-integration-20261108/" + binding["id"].split("-develop-")[0] + ".json" + combined = binding["id"] == COMBINED_INTEGRATION + receipt_path = binding.get("integration_receipt", default) + if combined and source_commit is not None: + receipt = json.loads(subprocess.check_output( + ["git", "show", source_commit + ":" + receipt_path], cwd=root)) + else: + receipt = json.loads((root / receipt_path).read_text()) + if combined: + assert receipt["schema"] == "pr_combined_integration_source_binding_v1" + assert receipt["pr"] == "combined" + else: + assert receipt["schema"] == "pr_develop_integration_source_binding_v1" + assert all(receipt[k] is False for k in ("training_rerun", "qualification_results_changed", "automatic_cross_source_reuse", "qualification_input")) + row = next(row for row in receipt["tasks"] if row["previous_task_path"] == relative) + if combined: + for key in ("previous_task_commit", "previous_task_path", "previous_task_sha256", "previous_task_blob"): + assert row[key] == binding[key] + assert sha256(raw).hexdigest() == row["current_task_sha256"] + assert row["sources_before"] == previous["evaluation"]["sources"] + assert row["sources_after"] == current["evaluation"]["sources"] + for path, expected in row["sources_after"].items(): + data = ((root / path).read_bytes() if source_commit is None else + subprocess.check_output(["git", "show", source_commit + ":" + path], cwd=root)) + assert sha256(data).hexdigest() == expected + restored = deepcopy(current) + restored["evaluation"].pop(field) + if combined: + # This layer changes source pins and adds one binding. Earlier + # revision metadata remains exact and both ancestral fields survive. + assert ("evaluator_revision" in current["evaluation"]) == ("evaluator_revision" in previous["evaluation"]) + assert current["evaluation"].get("evaluator_revision") == previous["evaluation"].get("evaluator_revision") + if "integration_source_binding" in previous["evaluation"]: + restored["evaluation"]["integration_source_binding"] = previous["evaluation"]["integration_source_binding"] + if "execution_before" in row or "execution_after" in row: + assert row["execution_before"] == previous["execution"] + assert row["execution_after"] == current["execution"] + restored["execution"] = deepcopy(row["execution_before"]) + if "evaluator_revision" in previous["evaluation"]: + restored["evaluation"]["evaluator_revision"] = previous["evaluation"]["evaluator_revision"] + restored["evaluation"]["sources"] = previous["evaluation"]["sources"] + for path, value in row.get("execution_updates", {}).items(): + parts = path.split(".") + owner = restored["execution"] + for part in parts[:-1]: + owner = owner[part] + assert owner.pop(parts[-1]) == value + if field == "integration_source_binding" and receipt["pr"] == 461 and current["id"] in ("model_vae_hard", "model_vae_categorical"): + assert restored["execution"].pop("transport_consumer") == "output_marginal_v1" + assert restored["execution"].pop("observation_checkpoints") is True + assert restored == previous + current, raw = previous, previous_raw + source_commit = binding["previous_task_commit"] + + +def source_before_pr_integration(root, relative, member): + root = Path(root) + task = json.loads((root / relative).read_text()) + if _binding(task)[1] is not None: + task = before_pr_integration(root, task, relative) + return task["evaluation"]["sources"][member] + return sha256((root / member).read_bytes()).hexdigest() diff --git a/tests/recipe_entrypoint_compat.py b/tests/recipe_entrypoint_compat.py index 81b69eefd..72231cb29 100644 --- a/tests/recipe_entrypoint_compat.py +++ b/tests/recipe_entrypoint_compat.py @@ -30,9 +30,13 @@ def frozen_restoration_source(root, relative, expected): def model_source_blockers(root, task): - """Expected current preflight refusal; frozen source hashes remain intact.""" + """Expected refusal for any changed source, independent of rename proofs. + + The exact frozen-byte proof above applies only to its declared restoration + modules. Other source changes also require a new cohort; returning a blocker + here neither reconstructs their original bytes nor admits their new bytes. + """ for relative, expected in task["evaluation"].get("sources", {}).items(): - frozen_restoration_source(root, relative, expected) if sha256((Path(root) / relative).read_bytes()).hexdigest() != expected: return [f"model source binding differs: {relative}"] return [] diff --git a/tests/test_adversarial_challenger1_tier4_stress.py b/tests/test_adversarial_challenger1_tier4_stress.py index 487f8624c..3484e5b20 100644 --- a/tests/test_adversarial_challenger1_tier4_stress.py +++ b/tests/test_adversarial_challenger1_tier4_stress.py @@ -9,8 +9,8 @@ - Permutation symmetry invariance under all 4! = 24 permutations 2. TanhRailGuard: - Extreme pre-activations u in [-10^6, 10^6] bounded strictly below rail saturation - - Hostile critic gradient rejection: restoring penalty gradient dominates adversarial push - - Monotonic growth of restoring force as |u| increases + - Exact first/second derivatives and linear upstream gradient response + - Zero upstream signal produces zero gradient - NaN / Inf input propagation and detection 3. ScaledResidualMLPGenerator: - Variance preservation across depth (1/sqrt(2N) scaling vs unscaled explosion) @@ -225,8 +225,8 @@ def test_permutation_invariance_of_dispersion_and_repulsion_features(self, disc) # ============================================================================== class TestTanhRailGuardAdversarial: - """Stress-test TanhRailGuard under extreme pre-activations, hostile critic gradients, - restoring force monotonicity, and non-finite input propagation. + """Stress-test TanhRailGuard under extreme pre-activations, exact derivatives, + upstream gradients, and non-finite input propagation. """ @pytest.mark.parametrize("u_val", [-1e6, -1e5, -1e4, -100.0, -10.0, 0.0, 10.0, 100.0, 1e4, 1e5, 1e6]) @@ -245,45 +245,22 @@ def test_extreme_preactivations_strictly_bounded(self, u_val): loss.backward() assert math.isfinite(u.grad.item()), f"Gradient is non-finite for u={u_val}" - def test_hostile_critic_gradient_rejection_and_restoring_force(self): - """Adversarial Attack: Critic supplies maximum allowable adversarial gradient - (grad_output = -5.0) to maliciously push an already-positive pre-activation (u = 50.0) - toward +infinity. - Verify that TanhRailGuard's restoring penalty gradient overwhelms the critic and - strictly preserves grad_u > 0 (driving u BACK toward 0 under gradient descent). - """ - scale = 5.25 - # 1. Positive extreme with hostile negative gradient - for u_pos in [15.0, 50.0, 100.0, 1000.0, 1e6]: - u = torch.tensor([u_pos], dtype=torch.float32, requires_grad=True) - out = TanhRailGuard.apply(u, scale) - # Hostile critic gradient trying to blow up u - out.backward(gradient=torch.tensor([-5.0])) - assert u.grad.item() > 0.0, f"Restoring force failed for u={u_pos}: grad_u = {u.grad.item()}" - - # 2. Negative extreme with hostile positive gradient - for u_neg in [-15.0, -50.0, -100.0, -1000.0, -1e6]: - u = torch.tensor([u_neg], dtype=torch.float32, requires_grad=True) - out = TanhRailGuard.apply(u, scale) - # Hostile critic gradient trying to blow down u - out.backward(gradient=torch.tensor([5.0])) - assert u.grad.item() < 0.0, f"Restoring force failed for u={u_neg}: grad_u = {u.grad.item()}" - - def test_restoring_force_monotonic_growth(self): - """Stress: In the saturated regime (|u| > 1.5 * scale), the restoring gradient - must grow monotonically with |u| to guarantee fast return to the dynamic range. - """ - scale = 5.25 - u_magnitudes = [10.0, 20.0, 50.0, 100.0, 500.0, 2000.0, 1e5] - grads = [] - for mag in u_magnitudes: - u = torch.tensor([mag], dtype=torch.float32, requires_grad=True) - out = TanhRailGuard.apply(u, scale) - out.backward(gradient=torch.tensor([0.0])) # Only restoring penalty - grads.append(u.grad.item()) - - for i in range(len(grads) - 1): - assert grads[i] < grads[i + 1], f"Restoring gradient failed to grow monotonically: {grads}" + def test_upstream_gradient_sign_and_magnitude_are_preserved(self): + """The head differentiates its forward, without clipping or competing forces.""" + for value in (-50., -10., 1., 10., 50.): + for upstream in (-100., -5., 0., 5., 100.): + u = torch.tensor([value], dtype=torch.float64, requires_grad=True) + out = TanhRailGuard.apply(u) + derivative = torch.autograd.grad(out, u, retain_graph=True)[0] + observed = torch.autograd.grad(out, u, torch.full_like(out, upstream))[0] + torch.testing.assert_close(observed, upstream * derivative) + if upstream == 0.: + assert torch.equal(observed, torch.zeros_like(observed)) + + def test_first_and_second_derivatives_match_forward(self): + u = torch.tensor([-12., -3., 0., 1., 12.], dtype=torch.float64, requires_grad=True) + assert torch.autograd.gradcheck(TanhRailGuard.apply, (u,)) + assert torch.autograd.gradgradcheck(TanhRailGuard.apply, (u,)) def test_nan_and_inf_propagation_and_rejection(self): """Stress: NaN or Inf pre-activations must propagate cleanly as NaN so downstream diff --git a/tests/test_api_tier5_adversarial.py b/tests/test_api_tier5_adversarial.py index 714a4b702..19f201e61 100644 --- a/tests/test_api_tier5_adversarial.py +++ b/tests/test_api_tier5_adversarial.py @@ -30,6 +30,15 @@ from benchmarks.toy_audit import api_ring16 as api_ring from benchmarks.toy_audit.api_sources import misgan from particlegan import MoGParticlePrior +from experiments.forge.state import state_digest + + +def checkpoint_fixture(case, *, max_steps): + """Use an explicitly supported software cohort for the manual BiGAN owner.""" + if case["id"] == "api-ring16-bigan-continuous": + from tests.bigan_software_cohort import build_fixture + return build_fixture(case, max_steps=max_steps) + return contract.build(case, max_steps=max_steps) @pytest.fixture(autouse=True) @@ -198,7 +207,7 @@ def test_checkpoint_roundtrip_parameter_fidelity(self, case_id): case = cases[case_id] # 1. Build initial fixture and run 2 steps - fixture1 = contract.build(case, max_steps=10) + fixture1 = checkpoint_fixture(case, max_steps=10) for _ in range(2): fixture1.step() assert fixture1.completed_steps == 2 @@ -211,7 +220,7 @@ def test_checkpoint_roundtrip_parameter_fidelity(self, case_id): sd_loaded = torch.load(buffer) # 3. Build fresh fixture and restore state - fixture2 = contract.build(case, max_steps=10) + fixture2 = checkpoint_fixture(case, max_steps=10) assert fixture2.completed_steps == 0 fixture2.load_state_dict(sd_loaded) assert fixture2.completed_steps == 2 @@ -245,12 +254,12 @@ def test_vector_fixtures_deterministic_rng_continuation(self, case_id): cases = contract.discover() case = cases[case_id] - fixture1 = contract.build(case, max_steps=10) + fixture1 = checkpoint_fixture(case, max_steps=10) fixture1.step() fixture1.step() sd = fixture1.state_dict() - fixture2 = contract.build(case, max_steps=10) + fixture2 = checkpoint_fixture(case, max_steps=10) fixture2.load_state_dict(sd) stats1 = fixture1.step() @@ -265,39 +274,28 @@ def test_vector_fixtures_deterministic_rng_continuation(self, case_id): "api-misgan-block-neural-imputer", "api-ring16-bigan-continuous", ]) - def test_misgan_and_bigan_uncheckpointed_rng_streams_finding(self, case_id): - """Empirical verification: MisGAN and BiGAN omit data_rng and latent_rng from state_dict(). - - Restoring from checkpoint does not resume the consumed RNG stream, replaying data - batches from initial offset 0 unless RNG state is manually transferred. - """ - cases = contract.discover() - case = cases[case_id] - - fixture1 = contract.build(case, max_steps=10) - fixture1.step() - fixture1.step() - - sd = fixture1.state_dict() - assert "data_rng" not in sd, f"{case_id} unexpectedly serialized data_rng" - assert "latent_rng" not in sd, f"{case_id} unexpectedly serialized latent_rng" - - fixture2 = contract.build(case, max_steps=10) - fixture2.load_state_dict(sd) - - # Without RNG sync, the batches drawn at step 3 differ (initial offset vs 2-step offset) - # When RNG is manually synced, BiGAN matches bitwise identically - if case_id == "api-ring16-bigan-continuous": - fixture2.data_rng.set_state(fixture1.data_rng.get_state()) - fixture2.latent_rng.set_state(fixture1.latent_rng.get_state()) - s1 = fixture1.step() - s2 = fixture2.step() - assert s1 == s2, "BiGAN step 3 should match bitwise when RNG streams are synchronized" + def test_misgan_and_bigan_exact_rng_continuation(self, case_id): + """Fresh-object restoration needs no manual transfer of consumed streams.""" + case = contract.discover()[case_id] + first = checkpoint_fixture(case, max_steps=10) + first.step() + first.step() + saved = first.state_dict() + saved_digest = state_digest(saved) + resumed = checkpoint_fixture(case, max_steps=10) + resumed.load_state_dict(saved) + for name in ("data_rng", "latent_rng", "noise_rng", "eval_rng", "model_rng"): + if hasattr(first, name): + assert torch.equal(getattr(first, name).get_state(), getattr(resumed, name).get_state()) + assert state_digest(first.state_dict()) == state_digest(resumed.state_dict()) + assert first.step() == resumed.step() + assert state_digest(first.state_dict()) == state_digest(resumed.state_dict()) + assert state_digest(saved) == saved_digest def test_vector_fixture_checkpoint_tampering_rejection(self): """VectorFixture must reject invalid or forged checkpoints.""" case = contract.discover()["api-zero-tanh-smoke"] - fixture = contract.build(case, max_steps=10) + fixture = checkpoint_fixture(case, max_steps=10) fixture.step() sd = fixture.state_dict() @@ -326,34 +324,24 @@ def test_vector_fixture_checkpoint_tampering_rejection(self): with pytest.raises(ValueError, match="checkpoint batch sequence digest differs"): fixture.load_state_dict(corrupt_sd) - def test_misgan_and_bigan_checkpoint_missing_keys_rejection(self): - """MisGAN and BiGAN fixtures must raise KeyError if required keys are missing.""" - # MisGAN recovery - case_rec = contract.discover()["api-misgan-block-recovery"] - fix_rec = contract.build(case_rec, max_steps=10) - fix_rec.step() - sd_rec = fix_rec.state_dict() - del sd_rec["G_x"] - with pytest.raises(KeyError): - fix_rec.load_state_dict(sd_rec) - - # MisGAN neural imputer - case_imp = contract.discover()["api-misgan-block-neural-imputer"] - fix_imp = contract.build(case_imp, max_steps=10) - fix_imp.step() - sd_imp = fix_imp.state_dict() - del sd_imp["G_i"] - with pytest.raises(KeyError): - fix_imp.load_state_dict(sd_imp) - - # Ring16 BiGAN - case_bi = contract.discover()["api-ring16-bigan-continuous"] - fix_bi = contract.build(case_bi, max_steps=10) - fix_bi.step() - sd_bi = fix_bi.state_dict() - del sd_bi["generator"] - with pytest.raises(KeyError): - fix_bi.load_state_dict(sd_bi) + @pytest.mark.parametrize("case_id,model_path", [ + ("api-misgan-block-recovery", ("models", "G_x")), + ("api-misgan-block-neural-imputer", ("models", "G_i")), + ("api-ring16-bigan-continuous", ("generator",)), + ]) + def test_misgan_and_bigan_checkpoint_missing_keys_rejection(self, case_id, model_path): + """An incomplete versioned checkpoint is rejected before any live mutation.""" + fixture = checkpoint_fixture(contract.discover()[case_id], max_steps=10) + fixture.step() + before = state_digest(fixture.state_dict()) + corrupted = fixture.state_dict() + parent = corrupted + for key in model_path[:-1]: + parent = parent[key] + del parent[model_path[-1]] + with pytest.raises(ValueError): + fixture.load_state_dict(corrupted) + assert state_digest(fixture.state_dict()) == before # ============================================================================ diff --git a/tests/test_atlas_particle_normal_replication.py b/tests/test_atlas_particle_normal_replication.py index 5c70b0e6e..e4caaeadc 100644 --- a/tests/test_atlas_particle_normal_replication.py +++ b/tests/test_atlas_particle_normal_replication.py @@ -707,6 +707,11 @@ def test_tier_b_zero_tanh_smoke_evaluator(): "prior_l2": 0.0, } + import math + steps = task["execution"]["steps"] + cadence = task["evaluation"].get("observations", 24) + schedule = sorted({math.ceil(i * steps / cadence) for i in range(1, cadence + 1)}) + # Passing evidence: errors well below thresholds live_pass = { "mean_abs_error": 0.001, @@ -715,8 +720,8 @@ def test_tier_b_zero_tanh_smoke_evaluator(): "saturated_fraction": 0.0, "sample_count": 4096, } - obs_pass = [{"step": i, **live_pass} for i in range(42, 1001, 42)] - evidence_pass = {"observations": obs_pass, "live": live_pass, "prior_policy": prior_proof, **sampling} + obs_pass = [{"step": i, **live_pass} for i in schedule] + evidence_pass = {"observations": obs_pass, "live": {"step": steps, **live_pass}, "prior_policy": prior_proof, **sampling} res_pass = grade_result(task, {"evidence": evidence_pass, "applied": {"recipe": recipe}}) assert res_pass["status"] == "PASS" @@ -728,8 +733,8 @@ def test_tier_b_zero_tanh_smoke_evaluator(): "saturated_fraction": 0.1, "sample_count": 4096, } - obs_fail = [{"step": i, **live_fail} for i in range(42, 1001, 42)] - evidence_fail = {"observations": obs_fail, "live": live_fail, "prior_policy": prior_proof, **sampling} + obs_fail = [{"step": i, **live_fail} for i in schedule] + evidence_fail = {"observations": obs_fail, "live": {"step": steps, **live_fail}, "prior_policy": prior_proof, **sampling} res_fail = grade_result(task, {"evidence": evidence_fail, "applied": {"recipe": recipe}}) assert res_fail["status"] == "FAIL" diff --git a/tests/test_atlas_prior_swap.py b/tests/test_atlas_prior_swap.py index a85609cc0..ce54a3aa1 100644 --- a/tests/test_atlas_prior_swap.py +++ b/tests/test_atlas_prior_swap.py @@ -314,14 +314,16 @@ def transform(self, codes, idx=None, *, base_prior, generator=None, training=Tru # ============================================================================= def test_recipe_schema_exact_118_fields(): + """The frozen 118-field contract admits only these neutral additions.""" + additions = ('reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight') fields_dict = get_recipe_fields() - field_names = tuple(fields_dict.keys()) - assert len(field_names) == 118, f"Expected 118 fields, found {len(field_names)}" - assert field_names == FROZEN_RECIPE_FIELDS - - recipe_fields = tuple(f.name for f in dataclasses.fields(Recipe)) - assert len(recipe_fields) == 118 - assert recipe_fields == FROZEN_RECIPE_FIELDS + field_names = tuple(fields_dict) + assert len(field_names) == 118 + len(additions) + assert tuple(name for name in field_names if name not in additions) == FROZEN_RECIPE_FIELDS + assert tuple(field.name for field in dataclasses.fields(Recipe)) == field_names + from particlegan.recipe_compat import SEARCH_RECIPE_DEFAULTS + for name in additions: + assert fields_dict[name] == SEARCH_RECIPE_DEFAULTS[name] def test_atlas_preset_default_values_and_swapped_prior(): @@ -377,7 +379,7 @@ def find_spec(self, fullname, path=None, target=None): sys.modules[spec.name] = module spec.loader.exec_module(module) fields_atlas = module.get_recipe_fields('atlas') -assert len(fields_atlas) == 118 +assert len(fields_atlas) == 126 assert 'torch' not in sys.modules """ res = subprocess.run([sys.executable, "-I", "-c", script, str(source)], capture_output=True, text=True) diff --git a/tests/test_bigan_checkpoint_contract.py b/tests/test_bigan_checkpoint_contract.py new file mode 100644 index 000000000..b00e86a38 --- /dev/null +++ b/tests/test_bigan_checkpoint_contract.py @@ -0,0 +1,192 @@ +"""Fresh-object exact continuation of explicitly supported manual BiGAN recipes.""" +import pytest +import torch + +from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides +from benchmarks.toy_audit.api_ring16 import ALICESpiralBiGANFixture, Ring16BiGANFixture +from experiments.forge.state import state_digest +from particlegan import get_recipe +from tests.bigan_software_cohort import build_fixture + + +@pytest.fixture(autouse=True) +def one_thread(): + old = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(old) + + +@pytest.mark.parametrize("fixture_cls", [Ring16BiGANFixture, ALICESpiralBiGANFixture]) +@pytest.mark.parametrize("family", ["k3p", "ka2", "bispf", "bcap"]) +def test_fresh_object_exact_continuation_crosses_penalty_anchor_and_a2(fixture_cls, family): + kwargs = {"fixture_cls": fixture_cls, "recipe_name": family, "max_steps": 8, + "d_guard_min_steps": 2, "reg_every": 2, "lr_anneal_start": 0.} + first = build_fixture(**kwargs) + for _ in range(4): + first.step() + # Evaluation mode and every consumed evaluation draw are part of the state. + first.observe(n=32) + first.sample_target(7, generator=first.eval_rng) + state = first.state_dict() + digest = state_digest(state) + second = build_fixture(**kwargs) + second.load_state_dict(state) + assert state_digest(second.state_dict()) == digest + for _ in range(4): + assert first.step() == second.step() + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + assert state_digest(state) == digest + assert all(torch.equal(a, second._rng_streams._streams[name].get_state()) + for name, a in first.state_dict()["streams"].items()) + if family in ("k3p", "ka2"): + assert first.opt_g.latent_damping.observed > 0 + if family == "k3p": + assert first.opt_d.record.anchor_started + if family == "bispf": + assert first.loss.thermal_source is first.opt_d.record + assert second.regularizer.thermal_source is second.opt_d.record + assert first.opt_d.record.initialized + + +def test_ka2_fresh_resume_crosses_public_moment_readiness_without_changing_formula(): + kwargs = {"recipe_name": "ka2", "max_steps": 8, "betas": (0., .5)} + first = build_fixture(**kwargs) + first.step() + # The explicit beta2=.5 software recipe crosses the public readiness + # threshold on the next penalty probe. Never patch the readiness constant. + assert not first.opt_d.record.anchor_started + saved = first.state_dict() + second = build_fixture(**kwargs) + second.load_state_dict(saved) + assert first.step() == second.step() + assert first.opt_d.record.anchor_started + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + + +@pytest.mark.parametrize("regularizer", ["sigreg", "moment_tether", "initial_mmd", "coulomb"]) +def test_regularizer_draws_and_initial_references_resume(regularizer): + kwargs = {"recipe_name": "bcap", "max_steps": 5, "prior_regularizer": regularizer, "prior_reg": .001} + first = build_fixture(**kwargs) + first.step() + saved = first.state_dict() + second = build_fixture(**kwargs) + second.load_state_dict(saved) + for _ in range(3): + assert first.step() == second.step() + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + + +def test_frozen_prior_policy_continues_without_reconstructing_trainable_rows(): + first = build_fixture(max_steps=4, prior_update="frozen") + first.step() + saved = first.state_dict() + second = build_fixture(max_steps=4, prior_update="frozen") + second.load_state_dict(saved) + assert first.step() == second.step() + assert not second.prior.z.requires_grad + assert torch.equal(saved["prior"]["z"], second.prior.z) + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + + +@pytest.mark.parametrize("damage", ["legacy", "missing_model", "missing_rng", "rng", "shape", "dtype", + "nonfinite", "recipe", "host", "step", "record", "ema", "moment", + "cooler", "regularizer", "regularizer_copy", "missing_moments", "latent_history"]) +def test_rejects_incomplete_or_conflicting_checkpoint_before_any_mutation(damage): + kwargs = {"recipe_name": "bispf" if damage == "cooler" else "ka2", "max_steps": 8, + "prior_regularizer": "sigreg", "prior_reg": .001} + first = build_fixture(**kwargs) + first.step() + saved = first.state_dict() + victim = build_fixture(**kwargs) + before = state_digest(victim.state_dict()) + global_rng = torch.get_rng_state().clone() + if damage == "legacy": + del saved["version"] + elif damage == "missing_model": + del saved["generator"] + elif damage == "missing_rng": + del saved["streams"]["data"] + elif damage == "rng": + saved["streams"]["latent"] = torch.tensor([1], dtype=torch.uint8) + elif damage in ("shape", "dtype", "nonfinite"): + key = next(iter(saved["generator"])) + if damage == "shape": + saved["generator"][key] = saved["generator"][key][:1] + elif damage == "dtype": + saved["generator"][key] = saved["generator"][key].double() + else: + saved["generator"][key].fill_(float("nan")) + elif damage == "recipe": + saved["recipe"]["lr"] *= 2 + elif damage == "host": + saved["host"]["cycle_weight"] = 0. + elif damage == "step": + saved["completed_steps"] = -1 + elif damage == "record": + saved["penalty"]["record"]["observed_steps"] += 1 + elif damage == "ema": + key = next(iter(saved["ema_critic"])) + saved["ema_critic"][key] = torch.zeros_like(saved["ema_critic"][key]) + elif damage == "moment": + next(iter(saved["opt_g"]["state"].values()))["exp_avg"] = torch.ones(1) + elif damage == "missing_moments": + saved["opt_g"]["state"] = {} + elif damage == "latent_history": + saved["opt_g"]["regularizer"]["latent"]["history"].fill_(float("nan")) + elif damage == "cooler": + del saved["penalty"]["cooler"]["initialized"] + elif damage == "regularizer": + del saved["regularizer"]["projection_rng_state"] + else: + saved["prior_regularizer"]["projection_rng_state"] = torch.Generator().manual_seed(1).get_state() + with pytest.raises(ValueError): + victim.load_state_dict(saved) + assert state_digest(victim.state_dict()) == before + assert torch.equal(global_rng, torch.get_rng_state()) + + +@pytest.mark.parametrize("family", ["k3p", "ka2", "atlas"]) +def test_unsupported_intact_presets_reject_before_optimizers(family, monkeypatch): + def forbidden(*args, **kwargs): + pytest.fail("optimizer constructed for an unsupported recipe") + monkeypatch.setattr(type(get_recipe()), "make_optimizers", forbidden) + with pytest.raises(UnsupportedRecipeOverrides, match="intact recipe"): + Ring16BiGANFixture(recipe_name=family, max_steps=2) + + +def test_constructor_and_interrupted_update_own_rng_and_restore_boundary(monkeypatch): + before = torch.get_rng_state().clone() + fixture = build_fixture(max_steps=3) + assert torch.equal(before, torch.get_rng_state()) + state = fixture.state_dict() + original = fixture.G.forward + def interrupted(*args, **kwargs): + torch.rand(3) # Owned by the fixture's model stream, even on failure. + raise RuntimeError("interrupted") + monkeypatch.setattr(fixture.G, "forward", interrupted) + with pytest.raises(RuntimeError, match="interrupted"): + fixture.step() + assert torch.equal(before, torch.get_rng_state()) + with pytest.raises(RuntimeError, match="completed update boundary"): + fixture.state_dict() + monkeypatch.setattr(fixture.G, "forward", original) + fixture.load_state_dict(state) + assert state_digest(fixture.state_dict()) == state_digest(state) + assert fixture.step()["step"] == 1 + + +def test_ring_task_prior_law_is_explicit_outside_retired_recipe_overrides(): + from benchmarks.toy_audit.api_ring16 import _legacy_cases, list_cases + from benchmarks.toy_audit.api_vectors import VectorFixture + legacy = _legacy_cases()[0] + actual = VectorFixture(legacy, device="cpu", seed=0, recipe_name="k3p", max_steps=1) + assert type(actual.trainer.prior).__name__ == "MoGParticlePrior" + assert float(actual.trainer.prior.sigma) == pytest.approx(.025) + assert actual.trainer.prior.standardize is False + assert actual.trainer.prior.sigma_rel == 0. + for case in (legacy, list_cases()[0]): + assert case["prior_options"]["prior_kind"] == "mog" + assert case["prior_options"]["standardize"] is False + assert case["prior_options"]["sigma_rel"] == 0. + assert not {"prior_kind", "sigma_rel", "standardize"} & case.get("recipe_overrides", {}).keys() diff --git a/tests/test_critic_balance_runner.py b/tests/test_critic_balance_runner.py index 76d679558..7335d74ef 100644 --- a/tests/test_critic_balance_runner.py +++ b/tests/test_critic_balance_runner.py @@ -56,6 +56,13 @@ def test_new_comparison_contract_blocks_archived_study_before_queue(tmp_path, mo runner.plan_study(spec_for(tmp_path), cases=CURRENT_DISCOVERY()) +def test_archived_case_fixture_is_independent_of_current_discovery(monkeypatch): + import legacy_toy_comparisons as legacy + monkeypatch.setattr(legacy, "CURRENT_DISCOVERY", lambda: pytest.fail("archive fixture consulted live discovery")) + cards = legacy.archived_cases([name for name, _, _ in runner.CASE_ROWS], monkeypatch) + assert [runner.digest(cards[name]) for name, _, _ in runner.CASE_ROWS] == list(runner.CASE_SHA256) + + def spec_for(tmp_path): path = tmp_path / "capacity.json" requested = [{"family": family, "case_id": name} for family in runner.FAMILIES for name, _, _ in runner.CASE_ROWS] @@ -262,8 +269,10 @@ def test_child_resource_bootstrap_before_unchanged_public_main(tmp_path, cases, @pytest.mark.parametrize("family", ["atlas", "e22"]) @pytest.mark.parametrize("identifier", ["api-vector-two-broad", "image-develop-img_intensity2-source-transpose12"]) -def test_three_fields_bind_actual_public_optimizers_before_two_updates(cases, family, identifier): - fixture = api_contract.build(cases[identifier], device="cpu", recipe_name=family, +def test_current_software_three_fields_bind_public_optimizers_before_two_updates(family, identifier): + # Current seed-0 software cohort, not replay of the archived experiment. + case = CURRENT_DISCOVERY()[identifier] + fixture = api_contract.build(case, device="cpu", recipe_name=family, max_steps=2, recipe_overrides=runner.OVERRIDES) assert fixture.recipe.lr == .0053125 and fixture.recipe.d_lr_mult == 2.25 and fixture.recipe.prior_lr_mult == 1.5 assert fixture.trainer.opt_d.param_groups[0]["lr"] == .0053125 * 2.25 @@ -274,7 +283,7 @@ def test_three_fields_bind_actual_public_optimizers_before_two_updates(cases, fa fixture.step(); fixture.step() assert fixture.trainer.completed_steps == 2 assert any(not torch.equal(a, b) for a, b in zip(before, fixture.trainer.D.parameters())) - assert api_run.json_value(fixture.recipe.to_dict()) == api_family_search.resolved_recipe(cases[identifier], family, runner.OVERRIDES) + assert api_run.json_value(fixture.recipe.to_dict()) == api_family_search.resolved_recipe(case, family, runner.OVERRIDES) def test_reservation_refuses_next_full_task_when_budget_used(tmp_path, cases, monkeypatch): diff --git a/tests/test_ddgan_conditional_energy.py b/tests/test_ddgan_conditional_energy.py new file mode 100644 index 000000000..2957b5854 --- /dev/null +++ b/tests/test_ddgan_conditional_energy.py @@ -0,0 +1,120 @@ +"""Proper-score controls and isolation of the DDGAN auxiliary objective.""" +from copy import deepcopy + +import pytest +import torch + +from particlegan import Recipe, conditional_energy_score +from benchmarks.toy_audit.api_model_ddgan import build_case +from experiments.forge.state import state_digest + + +@pytest.fixture(autouse=True) +def single_thread(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def test_energy_score_uses_unbiased_offdiagonal_repulsion_and_both_gradients(): + samples = torch.tensor([[[-1.], [1.]]], requires_grad=True) + score = conditional_energy_score(samples, torch.zeros(1, 1)) + assert score.item() == 0. # biased V-statistic would give .5 + score.backward() + torch.testing.assert_close(samples.grad, torch.zeros_like(samples)) + shifted = (samples.detach() + 2).requires_grad_() + conditional_energy_score(shifted, torch.zeros(1, 1)).backward() + assert shifted.grad.sum().item() == 1. + + +def test_energy_score_oracle_beats_collapse_wrong_mean_and_wrong_spread(): + rng = torch.Generator().manual_seed(0) + n, k = 32768, 8 + target = torch.randn(n, 2, generator=rng) + oracle = torch.randn(n, k, 2, generator=rng) + good = conditional_energy_score(oracle, target) + for wrong in (torch.zeros_like(oracle), oracle + 1., oracle * .2, oracle * 2.): + assert conditional_energy_score(wrong, target) > good + .03 + # Two-mode law: preserving stochastic modes also beats their conditional mean. + target = torch.where(target > 0, 1., -1.) + oracle = torch.where(oracle > 0, 1., -1.) + assert conditional_energy_score(oracle, target) < conditional_energy_score(torch.zeros_like(oracle), target) - .1 + + +@pytest.mark.parametrize("geometry", ["direction_blend", "none"]) +def test_energy_objective_checkpoint_replay_and_matched_data_streams(geometry): + baseline = build_case("api-model-ddgan-gaussian-chain", max_steps=3) + recipe = baseline.recipe.replace(conditional_energy_weight=1., conditional_energy_samples=8, + constraint_geometry_mode=geometry) + candidate = build_case("api-model-ddgan-gaussian-chain", recipe=recipe, max_steps=3) + assert state_digest(baseline.G.state_dict()) == state_digest(candidate.G.state_dict()) + assert state_digest(baseline.prior.state_dict()) == state_digest(candidate.prior.state_dict()) + baseline.step(); candidate.step() + assert baseline.batch_digest == candidate.batch_digest + assert candidate.last_losses["conditional_energy"] > 0 + saved = deepcopy(candidate.state_dict()) + expected = candidate.step() + restored = build_case("api-model-ddgan-gaussian-chain", recipe=recipe, max_steps=3) + restored.load_state_dict(saved) + assert restored.step() == expected + assert state_digest(restored.state_dict()) == state_digest(candidate.state_dict()) + baseline.step() + assert baseline.batch_digest == candidate.batch_digest + before = state_digest(candidate.state_dict()) + candidate.observe(n=64) + assert state_digest(candidate.state_dict()) == before + + +@pytest.mark.parametrize("kwargs", [{"conditional_energy_weight": -1.}, + {"conditional_energy_weight": float("nan")}, {"conditional_energy_samples": 1}, + {"conditional_energy_samples": 2.5}]) +def test_recipe_rejects_invalid_energy_settings(kwargs): + with pytest.raises(ValueError): + Recipe.from_dict(kwargs) + + +def test_disabled_energy_fields_preserve_archived_recipe_packets(): + assert "conditional_energy_weight" not in Recipe.from_dict({}).to_dict() + assert "conditional_energy_samples" not in Recipe.from_dict({}).to_dict() + assert Recipe.from_dict(dict(conditional_energy_weight=1.)).to_dict()["conditional_energy_weight"] == 1. + + +def test_target_is_fixed_and_nonfinite_predictions_fail_finite_guard(): + target = torch.ones(2, 1, requires_grad=True) + samples = torch.zeros(2, 3, 1, requires_grad=True) + conditional_energy_score(samples, target).backward() + assert target.grad is None + assert samples.grad is not None + assert not torch.isfinite(conditional_energy_score(torch.full((2, 3, 1), float("nan")), target)) + + +def test_unsupported_ae_composition_refuses_energy_before_construction(): + from benchmarks.toy_audit.api_model_ae_ddgan import CASES as AE_CASES + from benchmarks.toy_audit.api_model_ddgan import task_recipe + base = task_recipe(AE_CASES["api-model-ae-ddgan-gaussian-chain"]) + with pytest.raises(ValueError, match="not bound"): + task_recipe(AE_CASES["api-model-ae-ddgan-gaussian-chain"], + recipe=base.replace(conditional_energy_weight=1.)) + + +def test_auxiliary_uses_independent_same_context_draws_and_no_analytic_posterior(monkeypatch): + base = build_case("api-model-ddgan-gaussian-chain", max_steps=1) + fixture = build_case("api-model-ddgan-gaussian-chain", max_steps=1, + recipe=base.recipe.replace(conditional_energy_weight=1.)) + def forbidden(*args, **kwargs): + raise AssertionError("evaluation-only posterior leaked into training") + for name in ("posterior_parameters", "oracle_clean", "transition_parameters"): + monkeypatch.setattr(fixture.target, name, forbidden) + calls = [] + original = fixture.G.forward + def recorded(xt, z, t): + calls.append((xt.detach().clone(), z.detach().clone(), t.detach().clone())) + return original(xt, z, t) + monkeypatch.setattr(fixture.G, "forward", recorded) + fixture.step() + assert [len(xt) for xt, _, _ in calls] == [64, 64, 64, 512] + xt, z, t = calls[-1] + torch.testing.assert_close(xt.reshape(64, 8, 2), calls[1][0][:, None].expand(64, 8, 2)) + torch.testing.assert_close(t.reshape(64, 8), calls[1][2][:, None].expand(64, 8)) + assert ((z.reshape(64, 8, 4)[:, 1:] - z.reshape(64, 8, 4)[:, :1]).abs().sum(-1) > 0).all() diff --git a/tests/test_e2e_stretch_qualification.py b/tests/test_e2e_stretch_qualification.py index 063f07482..a74686a87 100644 --- a/tests/test_e2e_stretch_qualification.py +++ b/tests/test_e2e_stretch_qualification.py @@ -71,6 +71,7 @@ ) from particlegan import ParticlePrior from particlegan.bispf import bind_thermal_source +from tests.bigan_software_cohort import build_fixture as build_bigan_software_fixture # ============================================================================ # Pytest Hooks & Environment Setup @@ -502,8 +503,8 @@ def test_tier1_grid100_residual_block_scaling_invariance(): @pytest.mark.tier1 -def test_tier1_grid100_tanh_anti_saturation_rail_penalty(): - """F14: Verify TanhRailGuard bounds outputs below saturation rail and provides restoring backward gradients.""" +def test_tier1_grid100_soft_bounded_tanh_exact_derivative(): + """F14: The soft-bounded head has no backward-only training mechanism.""" scale = 5.25 u_safe = torch.tensor([[0.0, 1.0], [2.0, -3.0], [4.5, -4.5]], requires_grad=True) out_safe = TanhRailGuard.apply(u_safe, scale) @@ -517,6 +518,8 @@ def test_tier1_grid100_tanh_anti_saturation_rail_penalty(): out_extreme.sum().backward() assert torch.all(torch.isfinite(u_extreme.grad)) assert torch.all(torch.abs(u_extreme.grad) > 0.0) + u = torch.tensor([10.], dtype=torch.float64, requires_grad=True) + torch.testing.assert_close(torch.autograd.grad(TanhRailGuard.apply(u) * 0., u)[0], torch.zeros_like(u)) @pytest.mark.tier1 @@ -1113,7 +1116,7 @@ def predict(x_q, m_q, rng): @pytest.mark.tier4 def test_tier4_e2e_ring16_bigan_continuous_qualification_roundtrip(): """E2E Ring16 BiGAN Continuous: Multi-step joint training, cycle consistency, and public score verification.""" - fixture = Ring16BiGANFixture(max_steps=5, device="cpu", seed=0) + fixture = build_bigan_software_fixture(max_steps=5) for step_idx in range(1, 4): stats = fixture.step() assert stats["step"] == step_idx @@ -1194,8 +1197,9 @@ def test_tier4_e2e_grid100_deep_generator_gradient_and_rail_qualification(): @pytest.mark.tier4 -def test_tier4_e2e_bigan_default_recipe_k3p_and_ka2_support(): - """Verify continuous BiGAN cases default to k3p with ALICE cycle_weight=2.0 and support (k3p, ka2).""" +def test_tier4_e2e_bigan_declared_defaults_block_unsupported_noise_and_explicit_software_cohort_runs(): + """Keep declared defaults; only a separately scoped noise-free software recipe runs.""" + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides from benchmarks.toy_audit.api_ring16 import ( ALICESpiralBiGANFixture, _alice_spiral_case, @@ -1208,13 +1212,15 @@ def test_tier4_e2e_bigan_default_recipe_k3p_and_ka2_support(): assert meta["default_recipe"] == "k3p" assert tuple(meta["supported_recipes"]) == ("k3p", "ka2") - f_ring = build_case_ring16("api-ring16-bigan-continuous", max_steps=4) + with pytest.raises(UnsupportedRecipeOverrides, match="input_noise_std"): + build_case_ring16("api-ring16-bigan-continuous", max_steps=4) + f_ring = build_bigan_software_fixture(max_steps=4) assert f_ring.recipe.name == "k3p" assert f_ring.cycle_weight == 2.0 assert f_ring.D.fourier == 3 assert f_ring.D.net[0].in_features == 16 - f_alice = ALICESpiralBiGANFixture(max_steps=4, device="cpu", seed=0) + f_alice = build_bigan_software_fixture(fixture_cls=ALICESpiralBiGANFixture, max_steps=4) assert f_alice.recipe.name == "k3p" assert f_alice.cycle_weight == 2.0 assert f_alice.D.fourier == 0 diff --git a/tests/test_fixed_penalty_weights.py b/tests/test_fixed_penalty_weights.py new file mode 100644 index 000000000..1a989c7f8 --- /dev/null +++ b/tests/test_fixed_penalty_weights.py @@ -0,0 +1,149 @@ +"""Fixed-arm weighting contracts; tiny software fixtures, not quality runs.""" +import pytest +import torch +from torch import nn + +from particlegan import GANTrainer, MoGParticlePrior, Recipe, get_recipe +from particlegan.grad_regularizers import GradientPenalty +from particlegan.init import deterministic_orthogonal_ +from experiments.forge.state import state_digest + + +class PolynomialCritic(nn.Module): + def __init__(self): + super().__init__() + self.weight = nn.Parameter(torch.tensor([.3, -.7], dtype=torch.float64)) + self.bias = nn.Parameter(torch.tensor([.2, .4], dtype=torch.float64)) + + def forward(self, x): + return (self.weight * x.square() + self.bias * x).sum(1) + + +def recipe(**changes): + return Recipe.from_dict(dict(optimizer_family="adam", reg_arm="a_r1r2", num_particles=8, z_dim=2, + batch_size=4, total_steps=8, prior_kind="mog", standardize=False, + reg_anchor_weight=0., d_guard_ratio=0., latent_damping_max_rate=0., + direct_particle_gain=False, input_noise_std=0., output_noise_std=0., + prior_reg=0., prior_regularizer="none", ema_decay=0., **changes)) + + +def trainer(config): + with torch.random.fork_rng(devices=[]): + torch.manual_seed(0) + generator = nn.Sequential(nn.Linear(2, 5), nn.Tanh(), nn.Linear(5, 2)).double() + critic = nn.Sequential(nn.Linear(2, 5), nn.Tanh(), nn.Linear(5, 1)).double() + prior = MoGParticlePrior(8, 2, sigma=.1, standardize=False, dtype=torch.float64) + for component, seed in ((generator, 0), (critic, 1), (prior, 0)): + deterministic_orthogonal_(component, seed=seed) + return GANTrainer(config, generator, critic, prior=prior, seed=0) + + +@pytest.mark.parametrize("weights", [(1., 0.), (0., 1.), (.25, 2.)]) +@pytest.mark.parametrize("arm", ["a_r1r2", "b_cap"]) +def test_weighted_nonlinear_penalty_and_parameter_gradients(weights, arm): + critic = PolynomialCritic() + real = torch.tensor([[-.8, .4], [.2, -.1], [.7, 1.2]], dtype=torch.float64, requires_grad=True) + fake = (real.detach() + .6).requires_grad_() + coefficient, kappa = 3., .15 + penalty = GradientPenalty(arm=arm, coeff=coefficient, kappa=kappa, + real_weight=weights[0], fake_weight=weights[1]) + actual = penalty(critic, real, fake) + # Differentiate the explicit polynomial input derivative, rather than the + # implementation's autograd input-gradient helper. + expected_terms = [] + for weight, batch in zip(weights, (real, fake)): + derivative = 2 * critic.weight * batch.detach() + critic.bias + squared_norm = derivative.square().sum(1) + term = squared_norm if arm == "a_r1r2" else (squared_norm.add(1e-12).sqrt() - kappa).relu().square() + expected_terms.append(weight * term.mean()) + expected = coefficient / 2 * sum(expected_terms) + torch.testing.assert_close(actual, expected, rtol=0., atol=1e-14) + actual_grad = torch.autograd.grad(actual, tuple(critic.parameters())) + expected_grad = torch.autograd.grad(expected, tuple(critic.parameters())) + for left, right in zip(actual_grad, expected_grad): + torch.testing.assert_close(left, right, rtol=0., atol=1e-14) + assert real.grad is None and fake.grad is None + + +@pytest.mark.parametrize("weights,calls", [((1., 0.), 1), ((0., 1.), 1), ((0., 0.), 0)]) +def test_inactive_terms_do_not_forward_differentiate_or_draw(weights, calls): + critic = PolynomialCritic() + rng, reference_rng = torch.Generator().manual_seed(0), torch.Generator().manual_seed(0) + visited = [] + def observe(module, inputs): + visited.append(inputs[0].detach().clone()) + torch.rand((), generator=rng) + critic.register_forward_pre_hook(observe) + real = torch.ones(4, 2, dtype=torch.float64) + fake = torch.full_like(real, 2.) + penalty = GradientPenalty(arm="a_r1r2", coeff=2., lazy_k=3, + real_weight=weights[0], fake_weight=weights[1]) + skipped, stats = penalty.penalty(critic, real, fake, step=1) + assert not stats["applied"] and skipped.item() == 0 and not visited + actual = penalty(critic, real, fake, step=3) + assert len(visited) == calls + for _ in range(calls): + torch.rand((), generator=reference_rng) + assert torch.equal(rng.get_state(), reference_rng.get_state()) + if calls: + expected_inputs = real if weights[0] else fake + assert torch.equal(visited[0], expected_inputs) + expected = 3 * (2 * critic.weight * expected_inputs + critic.bias).square().sum(1).mean() + torch.testing.assert_close(actual, expected) + else: + assert actual.item() == 0 + + +@pytest.mark.parametrize("name", ["reg_real_weight", "reg_fake_weight"]) +@pytest.mark.parametrize("value", [-1., float("nan"), float("inf"), True, "0"]) +def test_invalid_weights_rejected_at_recipe_and_kernel_boundary(name, value): + with pytest.raises(ValueError, match="finite and nonnegative"): + recipe(**{name: value}) + with pytest.raises(ValueError, match="finite and nonnegative"): + GradientPenalty(arm="a_r1r2", **{name.removeprefix("reg_"): value}) + + +def test_nonfixed_formulations_reject_unsupported_weighting(): + for name in ("ka2", "k3p", "bispf"): + with pytest.raises(ValueError, match="fixed"): + get_recipe(name, reg_fake_weight=0.) + with pytest.raises(ValueError, match="fixed"): + GradientPenalty(arm="k3p", fake_weight=0.) + + +def test_default_identity_and_paired_training_are_exactly_unchanged(): + for name in ("ka2", "k3p", "e22", "mog", "bcap_adam"): + config = get_recipe(name) + assert "reg_real_weight" not in config.to_dict() + assert "reg_fake_weight" not in config.to_dict() + left = trainer(recipe()) + right = trainer(recipe(reg_real_weight=1., reg_fake_weight=1.)) + batch = torch.arange(8, dtype=torch.float64).reshape(4, 2) / 7 + for _ in range(3): + left.step(batch) + right.step(batch) + assert state_digest(left.state_dict()) == state_digest(right.state_dict()) + + +def test_r1_only_factory_roundtrip_resume_and_recipe_mismatch_are_strict(): + config = recipe(reg_fake_weight=0., reg_coeff=2., reg_coeff_end=.2) + assert Recipe.from_dict(config.to_dict()) == config + assert config.to_dict()["reg_fake_weight"] == 0. + current = trainer(config) + assert current.penalty.regularizer.real_weight == 1. + assert current.penalty.regularizer.fake_weight == 0. + batch = torch.arange(8, dtype=torch.float64).reshape(4, 2) / 7 + current.step(batch) + checkpoint = current.state_dict() + for _ in range(3): + current.step(batch) + restored = trainer(config) + restored.load_state_dict(checkpoint) + for _ in range(3): + restored.step(batch) + assert state_digest(current.state_dict()) == state_digest(restored.state_dict()) + incompatible = trainer(config.replace(reg_fake_weight=1.)) + unchanged = state_digest(incompatible.state_dict()) + with pytest.raises(ValueError, match="recipe"): + incompatible.load_state_dict(checkpoint) + assert state_digest(incompatible.state_dict()) == unchanged diff --git a/tests/test_forge_boundaries.py b/tests/test_forge_boundaries.py index 98b994b1b..eeba8610c 100644 --- a/tests/test_forge_boundaries.py +++ b/tests/test_forge_boundaries.py @@ -78,6 +78,32 @@ def test_unknown_fields_cannot_get_a_default_owner(): recipe_field_owner("optimizer_magic") +def test_r1r2_repair_controls_remain_recipe_owned_with_explicit_host_applicability(): + from experiments.forge.taskrecipes import ADAPTABLE_FIELDS + names = {"reg_real_weight", "reg_fake_weight", "joint_reconstruction_weight"} + assert all(recipe_field_owner(name) == "technique" for name in names) + assert not names & TUNABLE_FIELDS + assert not names & ADAPTABLE_FIELDS + word = _task("five_word_joint_smoke") + options = dict(reg_arm="a_r1r2", reg_real_weight=1., reg_fake_weight=0., + joint_reconstruction_weight=1.) + word_receipt = ownership_receipt({}, word, + _recipe(word, num_particles=5, z_dim=2, batch_size=256, + total_steps=word["execution"]["original_schedule_horizon"], **options))["recipe_fields"] + assert word_receipt["reg_fake_weight"]["value"] == 0. + assert word_receipt["joint_reconstruction_weight"]["value"] == 1. + assert all(word_receipt[name]["status"] == "effective" for name in names) + vector = _task() + vector_receipt = ownership_receipt({}, vector, _recipe(vector, **options))["recipe_fields"] + assert vector_receipt["joint_reconstruction_weight"]["value"] is None + assert vector_receipt["joint_reconstruction_weight"]["status"] == "not_applicable" + assert vector_receipt["joint_reconstruction_weight"]["reference_recipe_value"] == 1. + ae = _task("model_ae_reconstruction") + ae_receipt = ownership_receipt({}, ae, + _recipe(ae, num_particles=64, z_dim=2, batch_size=128, **options))["recipe_fields"] + assert all(ae_receipt[name]["status"] == "not_applicable" for name in names) + + def test_prior_regularization_ownership_depends_on_the_task_path(): scalar, behavior = _task(), _task("two_pole") assert recipe_field_owner("prior_reg", scalar) == "hyperparameter" diff --git a/tests/test_forge_comparison_policy.py b/tests/test_forge_comparison_policy.py index 4571f14e2..4a6900141 100644 --- a/tests/test_forge_comparison_policy.py +++ b/tests/test_forge_comparison_policy.py @@ -253,6 +253,72 @@ def test_evaluator_revision_lineage_accepts_source_only_refresh_and_rejects_gate assert publication._evaluator_revision_reaches(ROOT, tampered_gate, ref_eval) is False + +@pytest.mark.parametrize('damage', [ + 'budget', 'ownership', 'sampling', 'gate', 'earlier_revision', + 'parent_sha', 'parent_blob', 'source_pin', 'qualification_flag', 'receipt_schema', +]) +def test_combined_source_lineage_rejects_semantic_damage_even_with_rehashed_receipt(tmp_path, monkeypatch, damage): + import hashlib + import json + + relative = 'configs/forge/tasks/two_pole.json' + task = read_json(ROOT / relative) + binding = task['evaluation']['integration_source_binding'] + assert binding['id'] == 'reviewed-model-prs-integration-20261109' + receipt_path = binding['integration_receipt'] + receipt = read_json(ROOT / receipt_path) + row = next(row for row in receipt['tasks'] if row['previous_task_path'] == relative) + for source in task['evaluation']['sources']: + path = tmp_path / source + path.parent.mkdir(parents=True, exist_ok=True) + path.symlink_to(ROOT / source) + task_path = tmp_path / relative + task_path.parent.mkdir(parents=True, exist_ok=True) + task_path.write_bytes((ROOT / relative).read_bytes()) + atomic_json(tmp_path / receipt_path, receipt) + + # Keep archived Git reads exact while isolating the mutable current task + # and receipt. No repository file or historical receipt is rewritten. + original_check_output = publication.subprocess.check_output + def archived_git(args, **kwargs): + if args[:2] == ['git', 'show']: + kwargs['cwd'] = ROOT + return original_check_output(args, **kwargs) + monkeypatch.setattr(publication.subprocess, 'check_output', archived_git) + recorded = read_json(ROOT / 'reports/forge/technique-inventory.json') + reference = next(row['bindings']['task_contracts'] for row in recorded['rows'] + if row['trainer_family'] == 'k3p') + target = recorded['task_contracts'][reference['two_pole']]['evaluation_sha256'] + assert publication._evaluator_revision_reaches(tmp_path, task, target) + + if damage == 'budget': + task['execution']['steps'] += 1 + elif damage == 'ownership': + task['execution']['prior_contract'] = 'task_owned' + elif damage == 'sampling': + task['evaluation']['sampling_law'] = 'different_sampler' + elif damage == 'gate': + task['evaluation']['thresholds'][0][2] = 0.99 + elif damage == 'earlier_revision': + task['evaluation']['evaluator_revision']['id'] = 'unrelated_ancestry' + elif damage in {'parent_sha', 'parent_blob'}: + key = 'previous_task_sha256' if damage == 'parent_sha' else 'previous_task_blob' + binding[key] = row[key] = '0' * len(binding[key]) + elif damage == 'source_pin': + source = next(iter(task['evaluation']['sources'])) + task['evaluation']['sources'][source] = row['sources_after'][source] = '0' * 64 + elif damage == 'qualification_flag': + receipt['qualification_input'] = True + else: + receipt['schema'] = 'unverified_source_binding' + raw = (json.dumps(task, indent=2) + '\n').encode() + task_path.write_bytes(raw) + row['current_task_sha256'] = hashlib.sha256(raw).hexdigest() + atomic_json(tmp_path / receipt_path, receipt) + assert publication._evaluator_revision_reaches(tmp_path, task, target) is False + + def test_candidate_roster_requires_frozen_source_and_cannot_combine_with_declaration_registration(tmp_path): with pytest.raises(ValueError, match='declaration roster requires exact frozen source reconstruction'): publication.regenerate(tmp_path, candidate_roster=['atlas-particle-normal-v4']) diff --git a/tests/test_forge_configuration_search.py b/tests/test_forge_configuration_search.py index 72b9d77f7..5e78748d8 100644 --- a/tests/test_forge_configuration_search.py +++ b/tests/test_forge_configuration_search.py @@ -539,7 +539,7 @@ def test_actual_context_recipe_matches_frozen_card_and_report(checkout, spec, ba # omit only their original default values. Compare the entire expected # packet independently of the production compatibility projector. expected_packet = deepcopy(card["resolved_configuration_recipe"]) - for name, default in (("ebi_beta", 30.0), ("kappa_radial", 1.0), ("generator_gradient_response", "none")): + for name, default in (("ebi_beta", 30.0), ("kappa_radial", 1.0), ("generator_gradient_response", "none"), ('reg_real_weight', 1.0), ('reg_fake_weight', 1.0), ('joint_reconstruction_weight', 0.0), ('conditional_energy_weight', 0.0), ('conditional_energy_samples', 8), ('masked_mixture_weight', 0.0), ('masked_transport_weight', 0.0), ('imputer_component_weight', 0.0)): assert expected_packet[name] == base_overrides.get(name, default) if expected_packet[name] == default: expected_packet.pop(name) diff --git a/tests/test_forge_direct_particle_tuning.py b/tests/test_forge_direct_particle_tuning.py index 5100e8a04..04bb5dfc6 100644 --- a/tests/test_forge_direct_particle_tuning.py +++ b/tests/test_forge_direct_particle_tuning.py @@ -79,9 +79,9 @@ def test_direct_beta_axis_requires_an_actual_direct_optimizer(checkout, spec): def _analysis_module(): path = Path(__file__).resolve().parents[1] / 'reports/forge/k3p-global-tier1-v3/direct-rate-analysis.py' - spec = importlib.util.spec_from_file_location('direct_rate_analysis', path) - module = importlib.util.module_from_spec(spec) - spec.loader.exec_module(module) + module_spec = importlib.util.spec_from_file_location('direct_rate_analysis', path) + module = importlib.util.module_from_spec(module_spec) + module_spec.loader.exec_module(module) return module diff --git a/tests/test_forge_dualnorm_smoothing_search.py b/tests/test_forge_dualnorm_smoothing_search.py index 7f3fa31f2..53edbd381 100644 --- a/tests/test_forge_dualnorm_smoothing_search.py +++ b/tests/test_forge_dualnorm_smoothing_search.py @@ -110,11 +110,11 @@ def test_categorical_space_explicitly_compares_unsmoothed_and_smoothed_bases(che def test_committed_opt_in_example_plans_all_current_tier1_bindings_without_spend(tmp_path): root = Path(__file__).resolve().parents[1] - spec = search._load_spec(root, "bcap-dualnorm-smoothing-tier1-v2") + example_spec = search._load_spec(root, "bcap-dualnorm-smoothing-tier1-v2") selected = (root / "configs/forge/selections/family-current-v1.json").read_bytes() - plan = search.plan_search(root, tmp_path / "queue", spec) + plan = search.plan_search(root, tmp_path / "queue", example_spec) assert len(plan["trials"]) == 3 - assert plan["declared_worst_case_seconds"] <= spec["campaign"]["budget_seconds"] + assert plan["declared_worst_case_seconds"] <= example_spec["campaign"]["budget_seconds"] base = read_json(root / "configs/forge/ideas/bcap-dualnorm-smoothed-v1.json") tasks = [read_json(path) for path in (root / "configs/forge/tasks").glob("*.json")] view = read_json(root / "configs/forge/views/discriminator_stability.json") diff --git a/tests/test_forge_family_reports.py b/tests/test_forge_family_reports.py index b5b6c9ec3..a4dbb85bb 100644 --- a/tests/test_forge_family_reports.py +++ b/tests/test_forge_family_reports.py @@ -1059,7 +1059,7 @@ def test_full_suite_never_borrows_diagnostic_passes_or_calls_errors_failures(rep def test_problem_page_explains_intent_failures_and_scoped_passers(report): root, publication = report hold_alpha(root) - definitions = {"schema": "forge_problem_definitions_v1", "problems": [{ + definitions = {"schema": "forge_problem_definitions_v1", "evidence_date": "2026-10-15", "problems": [{ "task": "failed", "title": "Keep a learned distribution stable", "intent": "Stay correct while training continues.", "problem": "The model drifts away from its target.", "pass_summary": "A research configuration passes; the selected recipe fails.", @@ -1071,14 +1071,24 @@ def test_problem_page_explains_intent_failures_and_scoped_passers(report): pages = generated_pages(root, publication) page = pages[root / "reports/forge/problems.md"] assert "**What it tests.** Stay correct" in page - assert "**The problem.** The model drifts" in page - assert "**Has any configuration beaten it?** A research configuration passes" in page + assert "**Historical diagnosis (2026-10-15).** The model drifts" in page + assert "**Historical passer evidence.** A research configuration passes" in page + assert "No selected recorded PASS; see exact outcomes and dated diagnostic evidence below." in page + assert "**The problem.**" not in page and "**Has any configuration beaten it?**" not in page assert "Research config A passes" in page and "Held for qualification; included in full-suite results." in page assert "[FAIL](families/k3p.md#" in page assert "problem-definitions.json" in str(publication["family_progress"]["input_hashes"]) # Includes the new page and all task-specific navigation targets. assert_anchored_links_resolve(root, pages) + # Current summaries follow the selected record while the dated diagnosis stays intact. + publication["rows"][0]["tasks"][1]["status"] = "PASS" + generate(report) + updated = generated_pages(root, publication)[root / "reports/forge/problems.md"] + assert "| Stay correct while training continues. | Selected recorded PASS: K3P. |" in updated + assert "**Historical diagnosis (2026-10-15).** The model drifts" in updated + assert "**Historical passer evidence.** A research configuration passes" in updated + def test_real_selected_bispf_headline_keeps_all_eleven_failures_after_restoring_gates(): import json diff --git a/tests/test_forge_hostprofiles.py b/tests/test_forge_hostprofiles.py index 9c9673cdf..1b9a189ae 100644 --- a/tests/test_forge_hostprofiles.py +++ b/tests/test_forge_hostprofiles.py @@ -31,6 +31,15 @@ def native_tasks(continuation=False): + +def without_new_neutral_controls(recipe): + """Independent expected legacy packet; declared active values remain.""" + result = deepcopy(recipe) + for name, default in (('reg_real_weight', 1.0), ('reg_fake_weight', 1.0), ('joint_reconstruction_weight', 0.0), ('conditional_energy_weight', 0.0), ('conditional_energy_samples', 8), ('masked_mixture_weight', 0.0), ('masked_transport_weight', 0.0), ('imputer_component_weight', 0.0)): + if result.get(name, default) == default: + result.pop(name, None) + return result + def bind_candidate(req): from dataclasses import asdict from experiments.forge.api import FormulationContext @@ -525,7 +534,7 @@ def test_central_revision_helper_preserves_the_existing_planning_formula(tmp_pat # These later default-valued Recipe fields were absent from the original # packet schema. Compare to that explicit legacy formula, independently of # the production compatibility projector. - legacy_recipe = deepcopy(candidate["resolved_recipe"]) + legacy_recipe = without_new_neutral_controls(candidate["resolved_recipe"]) assert legacy_recipe.pop("ebi_beta") == 30.0 assert legacy_recipe.pop("kappa_radial") == 1.0 assert legacy_recipe.pop("generator_gradient_response") == "none" @@ -549,7 +558,7 @@ def test_nondefault_recipe_additions_remain_in_scientific_revision(tmp_path, fie req["candidate"]["recipe_overrides"][field] = value bind_candidate(req) candidate = req["candidate"] - expected_recipe = deepcopy(candidate["resolved_recipe"]) + expected_recipe = without_new_neutral_controls(candidate["resolved_recipe"]) expected_recipe.pop(default_other) expected_recipe.pop("generator_gradient_response", None) assert expected_recipe[field] == value diff --git a/tests/test_forge_model_snapshot.py b/tests/test_forge_model_snapshot.py new file mode 100644 index 000000000..5553f0a06 --- /dev/null +++ b/tests/test_forge_model_snapshot.py @@ -0,0 +1,32 @@ +"""Provider discovery must work with only declared, immutable snapshot files.""" +import json +import os +from pathlib import Path +import subprocess +import sys + +from experiments.forge.model_toy_sources import model_toy_source_paths +from experiments.forge.sources import inspect_source, snapshot_source + +ROOT = Path(__file__).resolve().parents[1] + + +def test_ae_discovery_reads_frozen_resources_without_checkout_fallback(tmp_path): + task = json.loads((ROOT / "configs/forge/tasks/model_ae_ddgan_gaussian_chain.json").read_text()) + resources = model_toy_source_paths(task) + manifest = inspect_source(ROOT, resources) + frozen = snapshot_source(ROOT, tmp_path / "queue", manifest) + script = """ +import json +from pathlib import Path +from benchmarks.toy_audit import api_model_ae as provider +assert Path(provider.__file__).resolve().is_relative_to(Path.cwd()) +cases = provider.list_cases() +print(json.dumps(sorted(case['id'] for case in cases))) +""" + env = {**os.environ, "PYTHONPATH": str(frozen), "OMP_NUM_THREADS": "1"} + result = subprocess.run([sys.executable, "-c", script], cwd=frozen, env=env, + check=True, capture_output=True, text=True) + assert json.loads(result.stdout) == ["api-model-ae-gan-multimodal", "api-model-ae-reconstruction"] + for relative in resources: + assert (frozen / relative).read_bytes() == (ROOT / relative).read_bytes() diff --git a/tests/test_forge_model_toys.py b/tests/test_forge_model_toys.py index a6cb29374..d0f6f7633 100644 --- a/tests/test_forge_model_toys.py +++ b/tests/test_forge_model_toys.py @@ -7,7 +7,7 @@ import torch from experiments.forge.api import task_formulation_context -from experiments.forge.model_toy_adapter import preflight, run, validate_task +from experiments.forge.model_toy_adapter import ModelToyExecutionError, preflight, run, validate_task from experiments.forge.state import state_digest from experiments.forge.views import grade_result from recipe_entrypoint_compat import model_source_blockers @@ -52,6 +52,25 @@ def test_modified_gates_or_unbound_policies_are_refused_before_spend(): validate_task(value) +@pytest.mark.parametrize("status,completed", [("ERROR", 0), ("INCOMPLETE", 1), ("BLOCKED", 0)]) +def test_provider_failure_before_audit_preserves_original_cause_and_receipt(tmp_path, monkeypatch, status, completed): + from benchmarks.toy_audit import api_run + diagnostic = "API execution or metric error: FileNotFoundError: missing frozen provider declaration" + receipt = dict(status=status, completed_updates=completed, failed_bounds=[diagnostic]) + def fail_before_audit(case, output, **kwargs): + output.mkdir(parents=True) + (output / "receipt.json").write_text(json.dumps(receipt)) + return receipt + monkeypatch.setattr(api_run, "run_case", fail_before_audit) + with pytest.raises(ModelToyExecutionError) as error: + run({"candidate": candidate(), "protocol": {"seed": 0}}, task(), tmp_path, "cpu", execution_limit=2) + message = str(error.value) + assert diagnostic in message and f"{status} after {completed} updates" in message + assert str(tmp_path / "api/receipt.json") in message + assert json.loads((tmp_path / "api/receipt.json").read_text()) == receipt + assert "'audit'" not in message + + @pytest.mark.parametrize("metadata", [{"sigma_rel": .5, "standardize": False}, {"sigma_rel": 0., "standardize": 0}]) def test_mog_policy_metadata_is_checked_before_mutation(metadata): diff --git a/tests/test_forge_ntier.py b/tests/test_forge_ntier.py index c5e52b099..c234d8f0c 100644 --- a/tests/test_forge_ntier.py +++ b/tests/test_forge_ntier.py @@ -569,7 +569,7 @@ def test_misgan_tasks_host_definition_particles_declared(): def test_stretch_formulation_tasks_graders_and_preflight(): - """Verify all stretch formulation tasks pass preflight and grade PASS/FAIL cleanly.""" + """Unsupported hosts refuse admission; numerical graders retain their exact gates.""" from experiments.forge.adapters import adapter_preflight from experiments.forge.priors import RECIPE_PRIOR_CONTRACT from experiments.forge.sampling import PUBLIC_PRIOR_CLEAN, executed_receipt @@ -584,7 +584,9 @@ def test_stretch_formulation_tasks_graders_and_preflight(): t = deepcopy(tasks[tid]) for cid in ("bispf-optimized-quintic-v1", "atlas-particle-normal-v4"): cand = adapt_candidate_for_task(load_candidate_card(ROOT, cid), t) - assert adapter_preflight(t, cand, root=ROOT) == [] + assert cand == load_candidate_card(ROOT, cid) + blockers = adapter_preflight(t, cand, root=ROOT) + assert blockers, "a shape-valid host without a registered runner must not be admitted" for tid in sorted(STRETCH_EVALUATOR_KINDS): t = deepcopy(tasks[tid]) diff --git a/tests/test_forge_observations.py b/tests/test_forge_observations.py new file mode 100644 index 000000000..329bbb51d --- /dev/null +++ b/tests/test_forge_observations.py @@ -0,0 +1,249 @@ +"""Bounded software checks; tiny training cannot qualify a formulation.""" +import random +from copy import deepcopy +from pathlib import Path + +import numpy as np +import pytest +import torch + +from experiments.forge import adapters, observations +from experiments.forge.contracts import atomic_json, read_json, stable_hash +from experiments.forge.sources import compute_profile, runtime_manifest +from experiments.forge.views import ( + grade_result, + task_evaluation_fingerprint, + task_execution_fingerprint, +) + +ROOT = Path(__file__).resolve().parents[1] + + +@pytest.fixture +def actual_receipt(tmp_path): + old_threads = torch.get_num_threads() + torch.set_num_threads(1) + task = read_json(ROOT / "configs/forge/tasks/vector_two_broad.json") + task["execution"]["steps"] = 2 + task["execution"]["host_definition"].update(hidden=8, layers=1, batch=4, particles=12) + runtime = runtime_manifest() + compute = compute_profile("cpu") + protocol = {"id": "screening", "seed": 0} + science = {"runtime": runtime, "compute": compute, "protocol": protocol, "seed": 0, + "task_initializers": {task["id"]: task["execution"]["initializer"]}, + "execution": {task["id"]: task_execution_fingerprint(task)}, + "evaluation": {task["id"]: task_evaluation_fingerprint(task)}} + job = {"task_id": task["id"], "science": science, "compatibility_key": stable_hash(science), + "resources": {"cpu_threads": 1}} + request = {"candidate": {"id": "software-fixture", "recipe_overrides": {"lr": .0001}}, + "candidate_revision": "a" * 64, "protocol": protocol, "tasks": {task["id"]: task}, + "source": {"digest": "b" * 64}, "runtime": runtime, "jobs": [job]} + try: + raw = adapters.run_task(request, job, tmp_path / "actual", "cpu") + yield request, job, raw, {"runtime": runtime, "compute": compute} + finally: + torch.set_num_threads(old_threads) + + +def test_actual_adapter_witness_changes_neither_grade_nor_any_rng(actual_receipt): + request, job, raw, environment = actual_receipt + before = deepcopy(raw) + torch_rng = torch.get_rng_state().clone() + python_rng, numpy_rng = random.getstate(), np.random.get_state() + observed = observations.attach_observations(request, job, raw, environment) + witness = observed["observed_contract"] + assert stable_hash(witness["resolved_recipe"]) == stable_hash(raw["recipe"]) + assert witness["sampling"]["scoring_weights"] == "live" + assert witness["sampling"]["eval_output_noise"] == "clean" + assert grade_result(request["tasks"][job["task_id"]], observed) == grade_result( + request["tasks"][job["task_id"]], raw) + assert raw == before + assert torch.equal(torch_rng, torch.get_rng_state()) + assert random.getstate() == python_rng + assert np.array_equal(numpy_rng[1], np.random.get_state()[1]) + assert numpy_rng[0] == np.random.get_state()[0] + assert numpy_rng[2:] == np.random.get_state()[2:] + witness["execution"]["steps"] = 99 + assert request["tasks"][job["task_id"]]["execution"]["steps"] == 2 + + +def test_runtime_automatically_emits_observation_using_actual_environment(actual_receipt, tmp_path, monkeypatch): + from experiments.forge import runtime + request, job, raw, _ = actual_receipt + request = {**request, "campaign_id": "software-fixture"} + path = tmp_path / "request.json" + atomic_json(path, {"request": request, "job": job, "worker": {"attempt": "producer", "device": "cpu"}}) + monkeypatch.setattr(adapters, "run_task", lambda *args: deepcopy(raw)) + rng = torch.get_rng_state().clone() + assert runtime.execute(path) == 0 + recorded = read_json(tmp_path / "raw-result.json") + assert recorded["observed_contract"]["compute"] == observations.execution_environment(torch, "cpu")["compute"] + assert recorded["evidence"] == raw["evidence"] + assert torch.equal(rng, torch.get_rng_state()) + + +def test_failed_environment_observation_discards_adapter_supplied_witness(actual_receipt, tmp_path, monkeypatch): + from experiments.forge import runtime + request, job, raw, _ = actual_receipt + path = tmp_path / "request.json" + atomic_json(path, {"request": {**request, "campaign_id": "fixture"}, "job": job, + "worker": {"attempt": "producer", "device": "cpu"}}) + raw = {**raw, "observed_contract": {"schema_version": 1, "forged": True}} + monkeypatch.setattr(adapters, "run_task", lambda *args: deepcopy(raw)) + def unavailable(*args): + raise ValueError("no hardware probe") + monkeypatch.setattr(observations, "execution_environment", unavailable) + assert runtime.execute(path) == 0 + recorded = read_json(tmp_path / "raw-result.json") + assert "observed_contract" not in recorded + assert recorded["observed_contract_gaps"] + assert recorded["evidence"] == raw["evidence"] + + +def test_queue_automatically_exports_pointer_after_final_certificate(actual_receipt, tmp_path): + from test_forge_queue import SLOTS, campaign + from test_forge_queue import request as queue_request + + from experiments.forge.queue import Queue + request, job, raw, environment = actual_receipt + queued = queue_request(tmp_path, cap=1) + for key in ("candidate", "candidate_revision", "protocol", "runtime", "tasks"): + queued[key] = deepcopy(request[key]) + job = {**job, "budget_seconds": 10, + "resources": {**job["resources"], "allow_cpu": True, "memory_mb": 1}} + job["science"] = {**job["science"], "rng": queued["rng"]} + job["compatibility_key"] = stable_hash(job["science"]) + queued["jobs"] = [job] + queued["view"]["assignments"] = [{"task": job["task_id"], "qualification_tier": 1, + "importance": "required", "order": 0}] + raw = observations.attach_observations(queued, job, raw, environment) + reports = tmp_path / "repo/reports/forge" + # Test-only numerical grader exercises certification, not scientific quality. + queue = Queue(tmp_path / "queue", grader=lambda *args: {"gate_status": "FAIL"}, report_root=reports) + queue.submit(queued, campaign()) + claim = queue.claim(SLOTS) + atomic_json(Path(claim["worker"]["directory"]) / "terminal.json", { + "token": claim["worker"]["token"], "attempt_status": "completed", "elapsed_seconds": 1, "result": raw}) + assert queue.collect() == 1 + directory = reports / "attempts" / claim["worker"]["attempt"] + result = read_json(directory / "result.json") + record, = read_json(directory / "coverage.json")["records"] + assert result["task_results"][0]["gate_status"] == record["status"] == "FAIL" + assert record["producer"] == {"attempt_id": result["attempt_id"], "result_hash": stable_hash(result)} + + +@pytest.mark.parametrize("damage", ["recipe", "initializer", "seed", "sampling", "weights", "runtime", + "compute", "execution", "evaluation", "missing_recipe", "missing_weights"]) +def test_mismatched_or_missing_actual_facts_never_emit_witness(actual_receipt, damage): + request, job, raw, environment = deepcopy(actual_receipt) + if damage == "recipe": + raw["recipe"]["lr"] *= 2 + elif damage == "initializer": + raw["initializer"] = "supplied" + elif damage == "seed": + raw["rng"]["seed"] = 1 + elif damage == "sampling": + raw["evidence"]["eval_output_noise"] = "learned_as_served" + elif damage == "weights": + raw["evidence"]["executed_scoring_weights"] = "ema" + elif damage == "runtime": + environment["runtime"]["python"] = "other" + elif damage == "compute": + environment["compute"]["threads"] = 2 + elif damage in {"execution", "evaluation"}: + job["science"][damage][job["task_id"]] = "wrong" + elif damage == "missing_recipe": + del raw["recipe"] + else: + del raw["evidence"]["executed_scoring_weights"] + observed = observations.attach_observations(request, job, raw, environment) + assert "observed_contract" not in observed + assert observed["observed_contract_gaps"] + + +def test_sampling_observer_does_not_change_training_state_or_consumed_streams(actual_receipt, tmp_path, monkeypatch): + request, job, raw, _ = actual_receipt + original_init = adapters._Run.__init__ + def unobserved_init(self, *args, **kwargs): + original_init(self, *args, **kwargs) + self.trainer.sample = self.trainer.sample.__wrapped__ + monkeypatch.setattr(adapters._Run, "__init__", unobserved_init) + baseline = adapters.run_task(request, job, tmp_path / "baseline", "cpu") + for field in ("live", "observations", "rng_audits"): + assert baseline["evidence"][field] == raw["evidence"][field] + for field in ("state_sha256", "named_stream_state_sha256"): + assert baseline["evidence"]["provenance_checkpoint"][field] == raw["evidence"]["provenance_checkpoint"][field] + + +def test_swapped_served_weights_cannot_claim_live(actual_receipt, tmp_path, monkeypatch): + request, job, _, environment = actual_receipt + original_evaluate = adapters._Run.evaluate + def swapped(self, function): + # An explicit serving swap marker; the observer must inspect the owner, + # rather than calling ema=False a live-weight observation. + self.trainer.policy._fast = [p.detach().clone() for p in self.trainer.policy._served_parameters()] + try: + return original_evaluate(self, function) + finally: + self.trainer.policy._fast = None + monkeypatch.setattr(adapters._Run, "evaluate", swapped) + raw = adapters.run_task(request, job, tmp_path / "served", "cpu") + assert raw["evidence"]["executed_scoring_weights"] == "served_average" + observed = observations.attach_observations(request, job, raw, environment) + assert "observed_contract" not in observed + assert "sampling_or_weights_mismatch_or_missing" in observed["observed_contract_gaps"] + + +def certified(actual_receipt): + request, job, raw, environment = actual_receipt + raw = observations.attach_observations(request, job, raw, environment) + # Test-only frozen numerical certificate: no claim that this tiny run + # satisfies the real scientific task's budget/cadence gate. + request = {**request, "requires_independent_grading": True} + grade = {"gate_status": "FAIL"} + result = {"attempt_id": "producer", "candidate_revision": request["candidate_revision"], + "task_results": [{**raw, **grade, "task_id": job["task_id"], + "raw_status": "completed", "compatibility_key": job["compatibility_key"]}], + "raw": {"attempt_status": "completed", "result": raw, "grading": { + "raw_hash": stable_hash(raw), "source_digest": request["source"]["digest"], + "grades": {job["task_id"]: grade}}}} + certificate = {"result_hash": stable_hash(result), "source": request["source"], "runtime": request["runtime"]} + resolved = {"request": request, "job": job, "worker": {"attempt": "producer"}} + return resolved, result, certificate + + +def test_exact_export_satisfies_strict_consumer_and_retains_numerical_failure(actual_receipt, tmp_path): + from ops.refresh_forge_readouts import _coverage_observation_errors + resolved, result, certificate = certified(actual_receipt) + directory = tmp_path / "reports/forge/attempts/producer" + for name, value in (("request", resolved), ("result", result), ("evidence", certificate)): + atomic_json(directory / f"{name}.json", value) + exported = observations.coverage_export(resolved, result, certificate, family="fixture") + assert not exported["gaps"] + record, = exported["records"] + assert record["status"] == "FAIL" + assert record["producer"] == {"attempt_id": "producer", "result_hash": stable_hash(result)} + request, job = resolved["request"], resolved["job"] + assert _coverage_observation_errors(tmp_path, record, request, request["tasks"][job["task_id"]], job) == [] + + +@pytest.mark.parametrize("damage", ["certificate", "grade", "raw_hash", "row_witness", "operational"]) +def test_export_rejects_missing_or_conflicting_producer_facts(actual_receipt, damage): + resolved, result, certificate = certified(actual_receipt) + if damage == "certificate": + certificate["result_hash"] = "wrong" + with pytest.raises(ValueError, match="invalid producer"): + observations.coverage_export(resolved, result, certificate) + return + if damage == "grade": + result["raw"]["grading"]["grades"][resolved["job"]["task_id"]]["gate_status"] = "PASS" + elif damage == "raw_hash": + result["raw"]["grading"]["raw_hash"] = "wrong" + elif damage == "row_witness": + result["task_results"][0]["observed_contract"]["initializer"] = "supplied" + else: + result["task_results"][0]["gate_status"] = "BLOCKED" + certificate["result_hash"] = stable_hash(result) + exported = observations.coverage_export(resolved, result, certificate) + assert exported["records"] == [] + assert exported["gaps"] diff --git a/tests/test_forge_planning.py b/tests/test_forge_planning.py index 61a2660c3..be3a18643 100644 --- a/tests/test_forge_planning.py +++ b/tests/test_forge_planning.py @@ -225,6 +225,29 @@ def test_published_host_sources_are_frozen_independently_of_selected_view(checko assert missing["tasks"][task["id"]]["preflight_blockers"] +@pytest.mark.parametrize("cached", [False, True]) +def test_model_provider_resources_are_frozen_outside_selected_view(checkout, cached): + from contextlib import nullcontext + from experiments.forge.model_toy_sources import model_toy_source_paths + from experiments.forge.planning import resolution_cache + task = read_json(checkout / "configs/forge/tasks/t3.json") + task["adapter"] = "public_api_model_toy" + task["execution"]["host_definition"] = {"provider": "benchmarks.toy_audit.api_model_ae_ddgan"} + atomic_json(checkout / "configs/forge/tasks/t3.json", task) + support = model_toy_source_paths(task) + for relative in support: + resource = read_json(checkout / "configs/forge/tasks/t1.json") + resource["id"] = Path(relative).stem + atomic_json(checkout / relative, resource) + view = read_json(checkout / "configs/forge/views/stability.json") + atomic_json(checkout / "configs/forge/views/quality.json", { + **view, "id": "quality", "goal": "quality", "assignments": view["assignments"][:1]}) + with resolution_cache(checkout) if cached else nullcontext(): + request = resolve_idea(checkout, "base", view_id="quality", execution_backend="cpu") + for relative in support: + assert request["source"]["files"][relative] == file_hash(checkout / relative) + + def test_changed_prerequisite_invalidates_downstream_evidence_identity(checkout): for child, parent in (("t2", "t1"), ("t3", "t2")): path = checkout / f"configs/forge/tasks/{child}.json" diff --git a/tests/test_forge_precision.py b/tests/test_forge_precision.py index 8e07cf848..1fac30e79 100644 --- a/tests/test_forge_precision.py +++ b/tests/test_forge_precision.py @@ -54,8 +54,8 @@ def test_malformed_precision_never_falls_back_to_unquantized_training(policy): def test_new_stretch_tasks_stay_visible_without_invalidating_archived_coverage(): - from ops.refresh_forge_readouts import check_attempt_coverage - coverage = check_attempt_coverage(ROOT) + from ops.refresh_forge_readouts import check_retained_diagnostic_integrity + coverage = check_retained_diagnostic_integrity(ROOT) assert coverage["current"] is True assert coverage["missing_by_family"] == {} assert coverage["unmeasured_current_tasks"] == ["precision_gaussian_mxfp8", "precision_gaussian_nvfp4"] @@ -119,9 +119,11 @@ def test_adding_unmeasured_stretch_tasks_preserves_source_bound_display_records( assert display and statuses assert display["qualification_input"] is False assert display["qualification_reuse"] is False + from experiments.forge.family_reports import _selected_cohorts + cohorts = {family["id"]: cohort for family, cohort in _selected_cohorts(publication["family_progress"])} for family, observed in display["families"].items(): - for name, record in observed["records"].items(): - assert statuses[family][name] == record["status"] + for name in observed["records"]: + assert statuses[family][name] == cohorts[family]["tasks"][name]["status"] for name in ("precision_gaussian_nvfp4", "precision_gaussian_mxfp8"): assert name not in observed["records"] assert statuses[family][name] not in {"PASS", "FAIL"} diff --git a/tests/test_forge_recorded_formulaic_display.py b/tests/test_forge_recorded_formulaic_display.py index d1b24a760..3a6d5dd53 100644 --- a/tests/test_forge_recorded_formulaic_display.py +++ b/tests/test_forge_recorded_formulaic_display.py @@ -5,7 +5,7 @@ import pytest from experiments.forge.contracts import atomic_json, file_hash, read_json, stable_hash -from experiments.forge.family_reports import _selected_cohorts, _summed_views, full_suite_outcomes, full_suite_tasks +from experiments.forge.family_reports import _selected_cohorts from reports.forge import regenerate_technique_inventory as inventory @@ -24,55 +24,26 @@ def recorded(tmp_path, monkeypatch): return tmp_path, publication -def test_original_view_and_full_suite_scores_survive_source_and_word_pin_changes(recorded): +def test_projection_preserves_exact_selected_cohort_and_archived_coverage(recorded): root, publication = recorded original = deepcopy(publication) - # A refreshed evaluator source pin changes compatibility, not the saved result. - for _, cohort in _selected_cohorts(publication["family_progress"]): - word = cohort["tasks"]["five_word_joint_smoke"] - word.update(current_contract="CHANGED", changed_contract_fields=["evaluation source"], - coverage_reason="The word evaluator has a new source pin.") projected = inventory._project_publication_for_family_pages(root, publication) + assert projected == original proof = inventory._recorded_source_binary_projection(publication, root) - suite_tasks = full_suite_tasks(projected["family_progress"]) - for family, cohort in _selected_cohorts(projected["family_progress"]): - records = proof["families"][family["id"]]["records"] - required = [a["task"] for view in _summed_views(projected["family_progress"]) - for a in view["assignments"] if a["importance"] == "required"] - view_passes = sum(records.get(name, {}).get("status") == "PASS" for name in required) - assert (cohort["total"]["passed"], cohort["total"]["total"]) == (view_passes, len(required)) - suite = full_suite_outcomes(cohort, suite_tasks) - suite_passes = sum(records.get(name, {}).get("status") == "PASS" for name in suite_tasks) - suite_failures = sum(records.get(name, {}).get("status") == "FAIL" for name in suite_tasks) - assert (suite["passed"], suite["failed"], suite["total"]) == (suite_passes, suite_failures, len(suite_tasks)) - assert suite["other"] == {"UNKNOWN": 2} - word = cohort["tasks"]["five_word_joint_smoke"] - assert word["current_contract"] == "CHANGED" - assert word["changed_contract_fields"] == ["evaluation source"] - assert word["recorded_formulaic_display"]["qualification_input"] is False - assert word["recorded_formulaic_display"]["qualification_reuse"] is False - assert "No current-source qualification" in word["coverage_reason"] + assert proof["qualification_input"] is False + assert proof["qualification_reuse"] is False assert inventory._current_source_tier1_readouts_markdown(publication, root, root / "report.md") == "" - for key in ("rows", "evidence_rows", "archived_evidence_rows", "evidence_sources", "task_contracts"): - assert projected[key] == publication[key] == original[key] - assert projected["recorded_formulaic_display"]["scope"] == "recorded_source_formulaic_display" - assert "recorded_formulaic_display" not in publication -def test_recorded_overview_keeps_scores_and_held_passes_without_current_source_credit(monkeypatch): +def test_recorded_overview_keeps_selected_grades_without_diagnostic_pass_substitution(monkeypatch): publication = read_json(ROOT / "reports/forge/technique-inventory.json") monkeypatch.setattr(inventory, "_concluded_current_source_tier1_payload", lambda *args: None) markdown = inventory._current_markdown(publication, ROOT, ROOT / "reports/forge/technique-inventory.md") - proof = inventory._recorded_source_binary_projection(publication, ROOT) - required = [a["task"] for view in _summed_views(publication["family_progress"]) - for a in view["assignments"] if a["importance"] == "required"] - for family in ("bcap-pure", "bispf", "e22"): - passed = sum(proof["families"][family]["records"].get(name, {}).get("status") == "PASS" for name in required) - assert f"{passed}/{len(required)}" in markdown - assert "pass 120 of the held or removed view requirements" in markdown - assert "archived display projection" in markdown - assert "not current-source qualification" in markdown + assert "Scientific scope corrections" in markdown + assert "not replace an ordinary selected-cohort grade" in markdown + assert "binary PASS or FAIL" not in markdown assert "### Current-source selected-recipe Tier 1 readouts" not in markdown + assert "not run" in markdown or "not measured" in markdown def test_recorded_projection_rejects_a_changed_coverage_digest(recorded): @@ -83,24 +54,19 @@ def test_recorded_projection_rejects_a_changed_coverage_digest(recorded): inventory._recorded_source_binary_projection(publication, root) -def test_certified_recorded_verdict_and_identity_win_over_stale_display_metadata(recorded, monkeypatch): +def test_diagnostic_verdict_cannot_replace_ordinary_blocked_status(recorded, monkeypatch): root, publication = recorded family, cohort = next((family, cohort) for family, cohort in _selected_cohorts(publication["family_progress"]) if family["id"] == "bcap-pure") task = "gaussian1d_stability" - proof = inventory._recorded_source_binary_projection(publication, root)["families"][family["id"]]["records"][task] - assert proof["status"] == "FAIL" - cohort["tasks"][task]["status"] = "PASS" - # An unrelated later run cannot replace the certified source's evidence. + cohort["tasks"][task]["status"] = "BLOCKED" monkeypatch.setattr(inventory, "_load_attempt_coverage_family_records", lambda root: { (family["id"], task): {"status": "PASS", "reason": "unrelated source", "source_digest": "f" * 64}}) projected = inventory._project_publication_for_family_pages(root, publication) _, projected_cohort = next((family, cohort) for family, cohort in _selected_cohorts(projected["family_progress"]) if family["id"] == "bcap-pure") - cell = projected_cohort["tasks"][task] - assert cell["status"] == "FAIL" - assert cell["recorded_formulaic_display"]["source_digest"] == proof["source_digest"] - assert cell.get("reason") != "unrelated source" + assert projected_cohort["tasks"][task]["status"] == "BLOCKED" + assert projected == publication def test_recorded_families_keep_separate_revision_and_source_when_candidate_ids_match(recorded): @@ -108,8 +74,8 @@ def test_recorded_families_keep_separate_revision_and_source_when_candidate_ids_ proof = inventory._recorded_source_binary_projection(publication, root)["families"] task = next(task for task in sorted(proof["bcap-pure"]["records"]) if proof["bcap-pure"]["records"][task]["status"] != proof["bispf"]["records"][task]["status"]) - expected = {family: proof[family]["records"][task]["status"] for family in ("bcap-pure", "bispf")} cohorts = {family["id"]: cohort for family, cohort in _selected_cohorts(publication["family_progress"])} + expected = {family: cohorts[family]["tasks"][task]["status"] for family in ("bcap-pure", "bispf")} bcap_id = publication["rows"][cohorts["bcap-pure"]["row_index"]]["candidate_id"] publication["rows"][cohorts["bispf"]["row_index"]]["candidate_id"] = bcap_id coverage = read_json(root / COVERAGE) @@ -135,7 +101,9 @@ def test_recorded_projection_never_substitutes_another_identity_or_scoped_run(re atomic_json(root / COVERAGE, coverage) publication["family_progress"]["input_hashes"][COVERAGE.as_posix()] = file_hash(root / COVERAGE) assert inventory._recorded_source_binary_projection(publication, root) is None - assert inventory._selected_recipe_binary_task_statuses(publication, root) is None + statuses = inventory._selected_recipe_binary_task_statuses(publication, root) + for family, cohort in _selected_cohorts(publication["family_progress"]): + assert statuses[family["id"]] == {name: entry["status"] for name, entry in cohort["tasks"].items()} def test_recorded_projection_validates_each_attempt_key(recorded): diff --git a/tests/test_forge_techniques.py b/tests/test_forge_techniques.py index a5cc99104..146d17b76 100644 --- a/tests/test_forge_techniques.py +++ b/tests/test_forge_techniques.py @@ -62,6 +62,23 @@ def test_family_names_cannot_mask_fixed_mechanism_changes(modern): validate_same_technique(modern, other) +def test_r1r2_repair_controls_are_structural_and_default_signatures_stay_sparse(modern): + names = {"reg_real_weight", "reg_fake_weight", "joint_reconstruction_weight"} + assert not names & technique_signature(modern)["fixed_recipe_fields"].keys() + for name, value in (("reg_fake_weight", 0.), ("reg_real_weight", .5), + ("joint_reconstruction_weight", 1.)): + with pytest.raises(ValueError, match=f"Recipe.{name}"): + validate_same_technique(modern, modern.replace(**{name: value})) + word = {"adapter": "word_joint", "execution": {}} + scalar = {"adapter": "transfer_vector", "execution": {}} + ae = {"adapter": "public_api_model_toy", "execution": {"host_definition": {"adversarial": False}}} + assert recipe_field_active("joint_reconstruction_weight", modern, task=word) + assert not recipe_field_active("joint_reconstruction_weight", modern, task=scalar) + assert recipe_field_active("reg_fake_weight", modern, task=scalar) + assert not recipe_field_active("reg_fake_weight", modern, task=ae) + assert not recipe_field_active("reg_fake_weight", Recipe.from_dict({}), task=scalar) + + def test_k3p_floor_cannot_disable_the_blended_penalty_phase(): base = Recipe.from_dict(dict(critic_formulation="k3p", network_lr_floor=.01)) validate_same_technique(base, base.replace(network_lr_floor=.25)) diff --git a/tests/test_forge_views.py b/tests/test_forge_views.py index af6833521..250f47fd9 100644 --- a/tests/test_forge_views.py +++ b/tests/test_forge_views.py @@ -277,6 +277,50 @@ def test_frozen_thresholds_reference_the_declared_gate_policy_and_current_scorer blockers = task_preflight(deepcopy(task), candidate, {}, root=ROOT, tasks=tasks) assert f"{task['id']}: evaluator source changed; revise the task definition: {path}" in blockers continue + if task["adapter"] == "public_api_model_toy" and path in { + "benchmarks/toy_audit/api_contract.py", "benchmarks/toy_audit/api_run.py"}: + from pr_integration_compat import COMBINED_INTEGRATION, before_pr_integration + original = before_pr_integration( + ROOT, task, "configs/forge/tasks/" + task["id"] + ".json") + if task["id"] == "model_misgan_four_mode": + # This separate cohort originally declared no API source map. + # Preserve that exact coupled-state task; corrected v2 gains + # explicit current pins without inheriting historical quality. + receipt_path = "reports/forge/pr-integration-20261109/misgan-execution-v2.json" + receipt_raw = (ROOT / receipt_path).read_bytes() + assert receipt_raw == subprocess.check_output([ + "git", "show", "ea75964cd20ed87e6f7a798e694205594b7e65a9:" + receipt_path], cwd=ROOT) + receipt = json.loads(receipt_raw) + archived = receipt["coupled_v1"]["task"] + archived_raw = subprocess.check_output([ + "git", "show", archived["source_commit"] + ":" + archived["source_path"]], cwd=ROOT) + assert (ROOT / archived["archived_path"]).read_bytes() == archived_raw + assert hashlib.sha256(archived_raw).hexdigest() == archived["sha256"] + assert original == json.loads(archived_raw) + assert original["evaluation"]["sources"] == {} + assert task["evaluation"]["integration_source_binding"]["id"] == COMBINED_INTEGRATION + assert task["execution"]["host_definition"]["provider"] == "benchmarks.toy_audit.api_model_misgan" + assert task["execution"]["execution_contract"] == receipt["version"] + assert receipt["corrected_execution_quality"] == "unmeasured" + assert receipt["historical_quality_inherited"] is False + assert receipt["qualification_input"] is False + assert hashlib.sha256((ROOT / path).read_bytes()).hexdigest() == digest + continue + # The original model cohort retains its exact contract bytes. + # Capability admission changes do not rebind that evidence. + frozen = archived_contract_bytes("model_toy_api_callers", path) + assert hashlib.sha256(frozen).hexdigest() == original["evaluation"]["sources"][path] + if original != task: + # The receipt verifies each source-only parent and every + # current pin. Frozen evidence retains its archived bytes. + assert hashlib.sha256((ROOT / path).read_bytes()).hexdigest() == digest + continue + if hashlib.sha256((ROOT / path).read_bytes()).hexdigest() != digest: + from experiments.forge.preflight import task_preflight + candidate = json.loads((ROOT / "configs/forge/ideas/k3p.json").read_text()) + blockers = task_preflight(deepcopy(task), candidate, {}, root=ROOT, tasks=tasks) + assert f"{task['id']}: evaluator source changed; revise the task definition: {path}" in blockers + continue if path in {"benchmarks/toy_audit/api_model_ae.py", "benchmarks/toy_audit/api_model_ddgan.py", "benchmarks/toy_audit/api_model_vae.py"}: diff --git a/tests/test_forge_word_metadata_migration.py b/tests/test_forge_word_metadata_migration.py index 4ce90b385..b302f55b3 100644 --- a/tests/test_forge_word_metadata_migration.py +++ b/tests/test_forge_word_metadata_migration.py @@ -9,6 +9,7 @@ import pytest from experiments.forge.contracts import file_hash, read_json +from pr_integration_compat import before_pr_integration, source_before_pr_integration from experiments.forge.decision_contracts import validate_legacy_admission from experiments.forge.planning import candidate_revision_for, resolve_idea @@ -29,6 +30,7 @@ def _before_cleanup_word_source_refresh(current, relative): """Peel the source-only import cleanup, retaining the exact original card.""" + current = before_pr_integration(ROOT, current, relative) revision = current["evaluation"]["evaluator_revision"] if revision["id"] != CLEANUP_WORD_REFRESH: return current, file_hash(ROOT / relative) @@ -124,7 +126,7 @@ def _before_default_receipt_source_refresh(current, relative): assert revision["previous_source_sha256"] == {RECEIPT_SOURCE_MEMBER: sources[RECEIPT_SOURCE_MEMBER]} assert revision["previous_revision"] == previous["evaluation"]["evaluator_revision"] assert current["evaluation"]["sources"] == { - **sources, RECEIPT_SOURCE_MEMBER: file_hash(ROOT / RECEIPT_SOURCE_MEMBER)} + **sources, RECEIPT_SOURCE_MEMBER: source_before_pr_integration(ROOT, relative, RECEIPT_SOURCE_MEMBER)} restored = deepcopy(current) restored["evaluation"]["sources"] = sources restored["evaluation"]["evaluator_revision"] = revision["previous_revision"] @@ -252,6 +254,7 @@ def test_word_cleanup_binding_changes_only_duplicate_import_source_provenance(): for task in ("five_word_joint_smoke", "five_word_joint_hold"): relative = f"configs/forge/tasks/{task}.json" current = read_json(ROOT / relative) + current = before_pr_integration(ROOT, current, relative) assert current["evaluation"]["evaluator_revision"]["id"] == CLEANUP_WORD_REFRESH previous, _ = _before_cleanup_word_source_refresh(current, relative) assert previous["evaluation"]["sources"][WORD_SOURCE_MEMBER] == hashlib.sha256(previous_source).hexdigest() diff --git a/tests/test_formula_contract_admission.py b/tests/test_formula_contract_admission.py new file mode 100644 index 000000000..86fcf4baa --- /dev/null +++ b/tests/test_formula_contract_admission.py @@ -0,0 +1,59 @@ +"""Semantic admission controls: unsupported execution cannot repair the formula.""" +from copy import deepcopy +import json + +import pytest + +from ops import formulaic_coverage as coverage + + +@pytest.mark.parametrize("task", sorted(coverage.DDGAN_TASKS | coverage.HELD_TIER34_TASKS)) +@pytest.mark.parametrize("candidate", [ + {"id": "e22", "schema_version": 1, "recipe_overrides": {}}, + {"id": "control", "schema_version": 3, + "prior_mechanism": {"kind": "mog", "sigma": 0.025}, + "recipe_overrides": {"output_noise_mode": "learnable", "output_noise_std": .03, + "input_noise_std": .1, "d_guard_min_steps": 200}}, +]) +def test_legacy_accessor_never_substitutes_any_recipe_field(task, candidate): + original = deepcopy(candidate) + adapted = coverage.adapt_candidate_for_task(candidate, {"id": task}) + assert adapted == original and candidate == original + adapted["recipe_overrides"]["caller_edit"] = True + assert candidate == original + + +def test_retired_coverage_cannot_launch_or_overwrite_evidence_even_with_force(tmp_path): + state = tmp_path / "state" + state.mkdir() + receipt = state / "result.json" + original = '{"status":"FAIL","source_digest":"original"}\n' + receipt.write_text(original) + before = sorted(p.relative_to(tmp_path) for p in tmp_path.rglob("*")) + with pytest.raises(coverage.RetiredCoverageExecutionError, match="frozen study"): + coverage.ensure_formulaic_attempt_coverage( + tmp_path, state, ["0", "1"], force=True, tasks="all") + with pytest.raises(coverage.RetiredCoverageExecutionError, match="retired"): + coverage.execute_single_task(tmp_path, "family", "candidate", "task", "cpu", state) + assert receipt.read_text() == original + assert sorted(p.relative_to(tmp_path) for p in tmp_path.rglob("*")) == before + + +def test_legacy_batch_cli_refuses_without_reading_or_creating_files(tmp_path, capsys): + missing = tmp_path / "no-spec.json" + assert coverage.main(["--run-batch", str(missing), "--force"]) == 2 + refusal = json.loads(capsys.readouterr().out) + assert refusal["status"] == "BLOCKED" + assert refusal["qualification_input"] is False + assert refusal["execution_authorized"] is False + assert list(tmp_path.iterdir()) == [] + + +def test_refresh_surfaces_explicit_admission_refusal(tmp_path): + from experiments.forge.contracts import atomic_json + from experiments.forge.leaderboard_contract import FIXED_TEST_LIST + from ops.refresh_forge_readouts import CodeChangeRequiredError, refresh_attempt_coverage + + atomic_json(tmp_path / FIXED_TEST_LIST, {"tests": ["grid100"]}) + with pytest.raises(CodeChangeRequiredError, match="alternate formulaic coverage executor is retired"): + refresh_attempt_coverage(tmp_path, tmp_path / "queue", tmp_path / "coverage", gpus=["0", "1"]) diff --git a/tests/test_generator_step_runner.py b/tests/test_generator_step_runner.py index 429f74cde..f32f0719c 100644 --- a/tests/test_generator_step_runner.py +++ b/tests/test_generator_step_runner.py @@ -318,8 +318,10 @@ def test_copied_delegated_helper_drift_cannot_enter_an_unchanged_source_snapshot @pytest.mark.parametrize("family", ["atlas", "e22"]) @pytest.mark.parametrize("identifier", ["api-vector-two-broad", "image-develop-img_intensity2-source-transpose12"]) -def test_three_fields_bind_actual_public_optimizers_before_two_updates(cases, family, identifier): - fixture = api_contract.build(cases[identifier], device="cpu", recipe_name=family, +def test_current_software_three_fields_bind_public_optimizers_before_two_updates(family, identifier): + # Current seed-0 software cohort, not replay of the archived experiment. + case = CURRENT_DISCOVERY()[identifier] + fixture = api_contract.build(case, device="cpu", recipe_name=family, max_steps=2, recipe_overrides=runner.OVERRIDES) assert fixture.recipe.lr == .00265625 and fixture.recipe.d_lr_mult == 4.5 and fixture.recipe.prior_lr_mult == 3.0 assert fixture.trainer.opt_d.param_groups[0]["lr"] == .00265625 * 4.5 @@ -330,7 +332,7 @@ def test_three_fields_bind_actual_public_optimizers_before_two_updates(cases, fa fixture.step(); fixture.step() assert fixture.trainer.completed_steps == 2 assert any(not torch.equal(a, b) for a, b in zip(before, fixture.trainer.D.parameters())) - assert api_run.json_value(fixture.recipe.to_dict()) == api_family_search.resolved_recipe(cases[identifier], family, runner.OVERRIDES) + assert api_run.json_value(fixture.recipe.to_dict()) == api_family_search.resolved_recipe(case, family, runner.OVERRIDES) def test_reservation_refuses_next_full_task_when_budget_used(tmp_path, cases, monkeypatch): diff --git a/tests/test_gram_profile_recipe_compat.py b/tests/test_gram_profile_recipe_compat.py index 45c5db9a5..9bb2dbf85 100644 --- a/tests/test_gram_profile_recipe_compat.py +++ b/tests/test_gram_profile_recipe_compat.py @@ -23,14 +23,18 @@ def test_selected_default_projection_preserves_older_full_recipe_fields(): @pytest.mark.parametrize("profile", ["default", PROFILE]) -def test_component_applied_packet_omits_only_default_dense_profile(profile): +def test_component_applied_packet_omits_only_later_inactive_defaults(profile): request = dict(protocol=dict(seed=0), candidate=dict(recipe_preset="bcap", recipe_overrides=dict( optimizer_family="dualnorm", optimizer_smoothing=.001, optimizer_momentum=0., optimizer_svd_backend="native", optimizer_dense_profile=profile))) components = BehaviorComponents(request, load_tasks(ROOT)["two_pole"], device="cpu") expected = asdict(components.recipe) + for name in ("masked_mixture_weight", "masked_transport_weight", "imputer_component_weight"): + assert expected.pop(name) == 0. if profile == "default": expected.pop("optimizer_dense_profile") + for field in ("reg_real_weight", "reg_fake_weight", "joint_reconstruction_weight", "conditional_energy_weight", "conditional_energy_samples"): + expected.pop(field) applied = components.receipt() assert applied["recipe"] == expected assert set(applied["field_ownership"]["recipe_fields"]) == set(expected) diff --git a/tests/test_joint_reconstruction.py b/tests/test_joint_reconstruction.py new file mode 100644 index 000000000..fabacb3f9 --- /dev/null +++ b/tests/test_joint_reconstruction.py @@ -0,0 +1,102 @@ +"""Software contracts for opt-in joint inverse training, not quality gates.""" +from copy import deepcopy +import json +from pathlib import Path + +import pytest +import torch + +from particlegan import Recipe +from particlegan.joint_reconstruction import joint_reconstruction_loss +from experiments.forge.state import state_digest + + +ROOT = Path(__file__).resolve().parents[1] + + +@pytest.fixture(autouse=True) +def one_thread(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def test_confident_wrong_categorical_logits_keep_corrective_gradients(): + logits = torch.tensor([[[400., -400.], [-400., 400.]]], requires_grad=True) + target = torch.tensor([[[0., 1.], [1., 0.]]], requires_grad=True) + loss = joint_reconstruction_loss(logits, target, categorical_dim=1) + assert loss.item() == 800. + loss.backward() + assert torch.equal(logits.grad, torch.tensor([[[.5, -.5], [-.5, .5]]])) + assert target.grad is None + # The original probability-space metric clamp has zero derivative here. + probabilities = logits.detach().requires_grad_().softmax(1) + clamped = -(probabilities * target.detach()).sum(1).clamp_min(1e-8).log().mean() + assert torch.count_nonzero(torch.autograd.grad(clamped, probabilities)[0]) == 0 + + +def test_continuous_inverse_loss_detaches_targets_and_weights_gradient(): + values = torch.tensor([[1., 3.]], requires_grad=True) + target = torch.zeros_like(values, requires_grad=True) + loss = Recipe.from_dict(dict(joint_reconstruction_weight=2.)).joint_reconstruction_loss(values, target) + assert loss.item() == 10. + loss.backward() + assert torch.equal(values.grad, torch.tensor([[2., 6.]])) + assert target.grad is None + + +@pytest.mark.parametrize("value", [-1., float("nan"), float("inf"), True, "1"]) +def test_invalid_weight_rejected(value): + with pytest.raises(ValueError): + Recipe.from_dict(dict(joint_reconstruction_weight=value)) + + +def build(weight): + from experiments.forge.api import task_formulation_context + from benchmarks.toy_audit.api_images import WordFixture + candidate = json.loads((ROOT / "configs/forge/ideas/recipe-prior-refactor-r1r2-v1.json").read_text()) + candidate["recipe_overrides"]["joint_reconstruction_weight"] = weight + task = json.loads((ROOT / "configs/forge/tasks/five_word_joint_smoke.json").read_text()) + context = task_formulation_context(candidate, task, {"seed": 0}) + return context, WordFixture(device="cpu", seed=0, recipe_name=None, max_steps=4, components=context) + + +def test_public_word_inverse_auxiliary_preserves_inputs_and_consumed_streams(): + left_context, left = build(0.) + right_context, right = build(1.) + assert state_digest(left.G.state_dict()) == state_digest(right.G.state_dict()) + assert state_digest(left.E.state_dict()) == state_digest(right.E.state_dict()) + calls = [0, 0] + left.G.net.register_forward_hook(lambda *_: calls.__setitem__(0, calls[0] + 1)) + right.G.net.register_forward_hook(lambda *_: calls.__setitem__(1, calls[1] + 1)) + left.step() + observed = right.step() + assert calls == [2, 3] + assert observed["joint_reconstruction"].item() > 0 + assert state_digest(left.D.state_dict()) == state_digest(right.D.state_dict()) + assert state_digest(left.G.state_dict()) != state_digest(right.G.state_dict()) + assert state_digest(left.E.state_dict()) != state_digest(right.E.state_dict()) + assert torch.equal(left.data_generator.get_state(), right.data_generator.get_state()) + assert state_digest(left_context.streams.state_dict()) == state_digest(right_context.streams.state_dict()) + assert "joint_reconstruction_weight" not in left.recipe.to_dict() + assert right.recipe.to_dict()["joint_reconstruction_weight"] == 1. + + +def test_public_word_active_checkpoint_resumes_exactly_and_rejects_recipe_change(): + context, first = build(1.) + first.step() + saved, streams = deepcopy(first.state_dict()), deepcopy(context.streams.state_dict()) + first.step() + expected = first.state_dict() + other_context, restored = build(1.) + other_context.streams.load_state_dict(streams) + restored.policy.load_state_dict(saved["api_state"]) + restored.data_generator.set_state(saved["data_generator"]) + restored.step() + assert state_digest(expected) == state_digest(restored.state_dict()) + _, inactive = build(0.) + before = state_digest(inactive.state_dict()) + with pytest.raises(ValueError): + inactive.policy.load_state_dict(saved["api_state"]) + assert state_digest(inactive.state_dict()) == before diff --git a/tests/test_legacy_host_cuda_harness.py b/tests/test_legacy_host_cuda_harness.py index 29c7a1c9f..81266db73 100644 --- a/tests/test_legacy_host_cuda_harness.py +++ b/tests/test_legacy_host_cuda_harness.py @@ -258,6 +258,7 @@ def test_repaired_hosts_and_replay_declarations_pin_current_sources(): import hashlib import json from pathlib import Path + from pr_integration_compat import before_pr_integration root = Path(__file__).resolve().parents[1] cards = [*root.glob("configs/forge/tasks/*.json"), @@ -265,15 +266,22 @@ def test_repaired_hosts_and_replay_declarations_pin_current_sources(): checked = inherited = 0 for path in cards: task = json.loads(path.read_text()) - revision = task["evaluation"].get("evaluator_revision") or {} + # Verify the new exact-parent source-only layer before inspecting the + # historical declaration. Keep current task bytes for the live hash checks. + previous = before_pr_integration(root, task, str(path.relative_to(root))) refreshed = set() + if previous is not task: + layer = task["evaluation"]["evaluator_revision"] + refreshed.update(layer["previous_source_sha256"]) + refreshed.update(layer.get("added_source_members", ())) + revision = previous["evaluation"].get("evaluator_revision") or {} if revision.get("id") == "guarded-gram-default-receipt-source-binding-v1": # One exact source-only layer retains the original PR399 question; # include its rebound source in the same strict live-byte check. assert revision["previous_task_commit"] == "90ae663551dd0fa35749d56e1859f276a4d09587" assert revision["previous_task_path"] == str(path.relative_to(root)) assert set(revision["previous_source_sha256"]) == {"experiments/forge/behavior_adapters.py"} - refreshed = set(revision["previous_source_sha256"]) + refreshed.update(revision["previous_source_sha256"]) revision = revision["previous_revision"] if revision.get("id") not in { "pr399-host-device-replay-source-only-v1", diff --git a/tests/test_lint_baseline.py b/tests/test_lint_baseline.py index 08701e3a3..12f87b9b2 100644 --- a/tests/test_lint_baseline.py +++ b/tests/test_lint_baseline.py @@ -1,5 +1,12 @@ """Exercise the actual lint gate without changing repository sources.""" -from scripts.check_lint import PATHS, main +import json +from pathlib import Path +import subprocess + +import pytest + +import scripts.check_lint as check_lint +from scripts.check_lint import FROZEN_F821_FALSE_POSITIVES, PATHS, findings, main def _workspace(root): @@ -12,7 +19,7 @@ def test_lint_gate_rejects_new_findings_and_requires_resolved_exemptions_to_shri probe = _workspace(tmp_path) args = ["--root", str(tmp_path)] assert main([*args, "--update-baseline"]) == 0 - probe.write_text("answer = unknown_name\n") + probe.write_text("import math\n") assert main(args) == 1 assert "NEW:" in capsys.readouterr().out assert main([*args, "--update-baseline"]) == 0 @@ -32,3 +39,58 @@ def test_lint_baseline_survives_unrelated_line_moves(tmp_path): assert main([*args, "--update-baseline"]) == 0 probe.write_text("\n" * 10 + source) assert main(args) == 0 + + +def test_undefined_names_cannot_be_accepted_by_updating_a_baseline(tmp_path, capsys): + probe = _workspace(tmp_path) + args = ["--root", str(tmp_path)] + assert main([*args, "--update-baseline"]) == 0 + baseline = tmp_path / ".ruff-baseline.json" + original = baseline.read_bytes() + probe.write_text("answer = undefined_name\n") + assert main(args) == 1 + assert "STRICT:" in capsys.readouterr().out + assert main([*args, "--update-baseline"]) == 1 + assert baseline.read_bytes() == original + + +def test_forged_undefined_name_exemption_is_rejected(tmp_path, capsys): + _workspace(tmp_path) + args = ["--root", str(tmp_path)] + assert main([*args, "--update-baseline"]) == 0 + baseline = tmp_path / ".ruff-baseline.json" + document = json.loads(baseline.read_text()) + document["findings"] = {"scripts/probe.py": {"F821": {"Undefined name `unknown`": 1}}} + baseline.write_text(json.dumps(document)) + assert main(args) == 1 + assert "baseline contains a strict code" in capsys.readouterr().out + + +def test_frozen_false_positive_exception_cannot_hide_a_changed_source(tmp_path, capsys): + _workspace(tmp_path) + root = Path(__file__).resolve().parents[1] + frozen_path = next(iter(FROZEN_F821_FALSE_POSITIVES)) + target = tmp_path / frozen_path + target.parent.mkdir(parents=True, exist_ok=True) + target.write_bytes((root / frozen_path).read_bytes()) + args = ["--root", str(tmp_path)] + assert main([*args, "--update-baseline"]) == 0 + assert main(args) == 0 + baseline = (tmp_path / ".ruff-baseline.json").read_bytes() + target.write_text(target.read_text() + "\nnew_result = new_undefined_name\n") + assert main([*args, "--update-baseline"]) == 1 + assert "new_undefined_name" in capsys.readouterr().out + assert (tmp_path / ".ruff-baseline.json").read_bytes() == baseline + + +def test_missing_ruff_or_empty_output_raises_clear_runtime_error(tmp_path, monkeypatch): + _workspace(tmp_path) + monkeypatch.setattr( + check_lint.subprocess, + "run", + lambda *args, **kwargs: subprocess.CompletedProcess( + args=args[0], returncode=1, stdout="", stderr="No module named ruff\n" + ), + ) + with pytest.raises(RuntimeError, match="No module named ruff"): + findings(tmp_path) diff --git a/tests/test_loss_surprise.py b/tests/test_loss_surprise.py index 157c0b9db..c40bb809b 100644 --- a/tests/test_loss_surprise.py +++ b/tests/test_loss_surprise.py @@ -152,7 +152,11 @@ def test_zero_recipe_bloat(): assert "loss_surprise_threshold" not in field_names assert "loss_surprise_cooldown" not in field_names # Recipe field count invariant - assert len(field_names) == 118 + # Independently declared objectives may extend the schema; loss-surprise + # still contributes no public recipe fields. + additions = ('reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight') + assert set(additions) <= field_names + assert len(field_names - set(additions)) == 118 def test_policy_loss_surprise_integration(): diff --git a/tests/test_misgan_component_research.py b/tests/test_misgan_component_research.py new file mode 100644 index 000000000..ef4e1a162 --- /dev/null +++ b/tests/test_misgan_component_research.py @@ -0,0 +1,117 @@ +from copy import deepcopy + +import pytest +import torch + +from benchmarks.toy_audit.api_model_misgan import (Problem, MisGANFixture, list_cases, score, CENTERS, SIGMA) +from benchmarks.toy_audit.reproducibility import reproducible_execution +from experiments.forge.state import state_digest +from particlegan.masked_mixture import masked_mixture_nll, NeuralComponentImputer, masked_quantile_transport_loss + + +def oracle_fixture(): + p=Problem(); r=torch.Generator().manual_seed(913) + centers=torch.tensor(CENTERS) + x2=centers[torch.randint(4,(4096,),generator=r)]+SIGMA*torch.randn(4096,2,generator=r) + generated=p.standardize(x2@p.A.T) + from benchmarks.toy_audit.api_sources.misgan import sample_masks + masks=sample_masks('block',4096,r) + x,m=p.ambiguous_queries() + raw_sum=(x[:,7]*p.std[7]+p.mean[7])*8**.5 + branches=torch.randint(2,(256,16),generator=r) + along=(2*branches-1)*2.**.5+SIGMA*torch.randn(256,16,generator=r) + x2a=torch.stack((raw_sum[None]/2+along/2.**.5,raw_sum[None]/2-along/2.**.5),-1) + ambiguous=p.standardize(x2a@p.A.T) + ambiguous=x*m+ambiguous*(1-m) + # Genuine analytic conditional draws, including random ambiguous branches; + # the positive control never copies a hidden complete test row. + prediction=torch.zeros_like(p.x_test) + for pattern in p.m_test.unique(dim=0): + rows=(p.m_test==pattern).all(1); sensors=pattern.bool() + raw=p.x_test[rows][:,sensors]*p.std[sensors]+p.mean[sensors] + if int(sensors.sum())>1: + z=torch.linalg.lstsq(p.A[sensors],raw.T).solution.T + else: + total=raw[:,0]*8**.5 + center_sums=centers.sum(1) + weights=(-.5*(total[:,None]-center_sums).square()/(2*SIGMA**2)).softmax(1) + ids=torch.multinomial(weights,1,generator=r).flatten() + along=(centers[ids,0]-centers[ids,1])/2.**.5+SIGMA*torch.randn(len(ids),generator=r) + z=torch.stack((total/2+along/2.**.5,total/2-along/2.**.5),1) + prediction[rows]=p.standardize(z@p.A.T) + prediction=p.x_test*p.m_test+prediction*(1-p.m_test) + return p,generated,masks,prediction,ambiguous + + +def test_scorer_oracle_and_uncertainty_controls(): + args=oracle_fixture() + assert score(*args)['passed'] + p,g,m,pred,amb=args + for broken in (amb.mean(0,keepdim=True).expand_as(amb),amb[:1].expand_as(amb),amb.flip(2)): + assert not score(p,g,m,pred,broken)['passed'] + wrong_mass=amb.clone();wrong_mass[:230]=amb[0] + assert not score(p,g,m,pred,wrong_mass)['passed'] + assert not score(p,g[:1].expand_as(g),m,pred,amb)['passed'] + assert not score(p,g,m[:1].expand_as(m),pred,amb)['passed'] + + +def test_observed_likelihood_ignores_missing_values_and_detaches_teacher(): + x=torch.tensor([[1.,float('nan')],[1.,999.]],requires_grad=True) + mask=torch.tensor([[1.,0.],[1.,0.]]) + centers=torch.tensor([[0.,2.],[1.,3.]],requires_grad=True) + loss=masked_mixture_nll(x,mask,centers,sigma=.1) + loss.backward() + assert torch.isfinite(loss) + assert torch.isfinite(x.grad).all() + assert torch.equal(x.grad[:,1],torch.zeros(2)) + assert torch.equal(centers.grad[:,1],torch.zeros(2)) + net=NeuralComponentImputer(2,2) + teacher=torch.randn(4,2,requires_grad=True) + net.synthetic_loss(teacher,torch.ones(4,2),torch.tensor([0,1,0,1])).backward() + assert teacher.grad is None + assert any(p.grad is not None for p in net.parameters()) + + +@pytest.mark.parametrize('candidate_name',['bispf-misgan-amortized-v1','bispf-misgan-transport-settle-v1']) +@reproducible_execution +def test_full_checkpoint_and_matched_batches(candidate_name): + torch.set_num_threads(1) + case=list_cases()[0] + a=MisGANFixture(case,max_steps=3) + b=MisGANFixture(case,max_steps=3,recipe_name=candidate_name) + assert state_digest(a.G.state_dict())==state_digest(b.G.state_dict()) + assert state_digest(a.prior.state_dict())==state_digest(b.prior.state_dict()) + assert not hasattr(a.problem,'x_train_full') + a.step();b.step() + assert a.batch_sequence_sha256==b.batch_sequence_sha256 + before=state_digest(b.state_dict());b.observe(n=128) + assert state_digest(b.state_dict())==before + state=deepcopy(b.state_dict()) + b.step();expected=state_digest(b.state_dict()) + c=MisGANFixture(case,max_steps=3,recipe_name=candidate_name) + c.load_state_dict(state);c.step() + assert state_digest(c.state_dict())==expected + + +def test_nonconsumer_refuses_recipe_objectives(): + from particlegan import GANTrainer,get_recipe + from torch import nn + with pytest.raises(ValueError,match='incomplete-data host'): + GANTrainer(get_recipe('ka2',masked_mixture_weight=1.),nn.Linear(2,2),nn.Linear(2,1)) + from benchmarks.toy_audit.api_contract import build, discover + from benchmarks.toy_audit.api_model_ae import task_recipe + case=discover()['api-model-ae-reconstruction'] + with pytest.raises(ValueError,match='explicit MisGAN component consumer'): + build(case,max_steps=1,recipe=task_recipe(case).replace(masked_transport_weight=1.)) + + +def test_masked_transport_equal_mass_and_no_missing_target_access(): + real=torch.tensor([[-1.,float('nan')],[-1.,float('nan')],[1.,float('nan')],[1.,float('nan')]]) + mask=torch.tensor([[1.,0.]]*4) + exact=torch.tensor([[-1.,9.],[-1.,9.],[1.,9.],[1.,9.]],requires_grad=True) + assert masked_quantile_transport_loss(exact,real,mask)==0 + wrong=torch.tensor([[-1.,99.],[-1.,99.],[-1.,99.],[1.,99.]],requires_grad=True) + loss=masked_quantile_transport_loss(wrong,real,mask);loss.backward() + assert loss>0 and torch.isfinite(loss) + assert torch.equal(wrong.grad[:,1],torch.zeros(4)) + assert wrong.grad[2,0]<0 # Excess left mass is driven across the gap. diff --git a/tests/test_misgan_formula_contract.py b/tests/test_misgan_formula_contract.py new file mode 100644 index 000000000..45714ce88 --- /dev/null +++ b/tests/test_misgan_formula_contract.py @@ -0,0 +1,367 @@ +"""Software contracts for formula-faithful MisGAN execution, not quality qualification.""" +from copy import deepcopy + +import pytest +import torch + +from benchmarks.toy_audit import api_conditionals as api +from experiments.forge.state import state_digest +from particlegan import get_recipe + + +CASES = ("api-misgan-block-recovery", "api-misgan-block-neural-imputer", + "api-misgan-mcar-p50-recovery", "api-misgan-mcar-p80-anchored") + + +def fixture(case_id=CASES[0], *, family="bispf", steps=3, **overrides): + case = deepcopy(api.CASES[case_id]) + recipe = get_recipe(family, batch_size=8, num_particles=256, z_dim=8, + total_steps=case["default_steps"], **overrides) + owner = api.MisGANNeuralImputerFixture if "imputer" in case_id or "anchored" in case_id else api.MisGANRecoveryFixture + return owner(case, recipe=recipe, batch_size=8, max_steps=steps, seed=0, device="cpu") + + +@pytest.mark.parametrize("case_id", CASES) +@pytest.mark.parametrize("field,value", [("model", "ddgan"), ("training_precision", "bf16_channels_last")]) +def test_unsupported_model_and_precision_refuse_before_optimizer_construction(monkeypatch, case_id, field, value): + from particlegan import Recipe + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + + def forbidden_optimizer(*args, **kwargs): + raise AssertionError("unsupported recipe reached optimizer construction") + + monkeypatch.setattr(Recipe, "make_generator_optimizer", forbidden_optimizer) + monkeypatch.setattr(Recipe, "make_critic_optimizer", forbidden_optimizer) + with pytest.raises(UnsupportedRecipeOverrides, match=field): + fixture(case_id, **{field: value}) + + +@pytest.fixture(autouse=True) +def one_cpu_thread(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def test_neural_imputer_calls_live_network_and_never_ppost(monkeypatch): + f = fixture(CASES[1]) + # A stale attribute from an old in-process caller must not change the sampler. + f._subspace_ready = True + calls = [] + def no_ppost(*args, **kwargs): + raise AssertionError("the no-ppost question invoked posterior resampling") + monkeypatch.setattr(api, "misgan_ppost_indices", no_ppost) + monkeypatch.setattr(f.ema_G_i, "forward", no_ppost) + def live_imputer(condition): + calls.append(condition.detach().clone()) + return condition[:, :8] + 2 + monkeypatch.setattr(f.G_i, "forward", live_imputer) + x = torch.ones(2, 8) + mask = torch.zeros_like(x) + mask[:, :2] = 1 + def score(predict, problem, eval_seed): + samples = predict(x, mask, torch.Generator().manual_seed(0), draws=2) + assert torch.equal(samples[:, :, :2], x[:, :2].expand(2, -1, -1)) + assert torch.equal(samples[:, :, 2:], torch.full((2, 2, 6), 2.)) + return {"passed": False, "failed_bounds": ["deliberately_wrong_imputer"]} + monkeypatch.setattr(api, "score_misgan_neural_imputer", score) + observed = f.observe() + assert observed["failed_bounds"] == ["deliberately_wrong_imputer"] + assert observed["observed_sampling"]["posterior_resampling"] is False + assert observed["observed_sampling"]["predictor"] == "G_i" + assert observed["observed_sampling"]["scoring_weights"] == "live" + assert len(calls) == 2 + + +def test_neural_imputer_metric_depends_on_live_gi_not_ema(monkeypatch): + f = fixture(CASES[1]) + def score(predict, problem, eval_seed): + x = torch.zeros(2, 8) + mask = torch.zeros_like(x) + result = predict(x, mask, torch.Generator().manual_seed(0), draws=1) + return {"value": result.detach().clone()} + monkeypatch.setattr(api, "score_misgan_neural_imputer", score) + first = f.observe()["value"] + with torch.no_grad(): + f.ema_G_i[-1].bias.add_(100) + assert torch.equal(first, f.observe()["value"]) + with torch.no_grad(): + f.G_i[-1].bias.add_(1) + assert torch.allclose(first + 1, f.observe()["value"]) + + +def test_recovery_observer_uses_live_generator_and_prior(monkeypatch): + f = fixture() + def score(x, m, problem, **kwargs): + return {"x": x.detach().clone(), "m": m.detach().clone()} + f._scorer = score + first = f.observe(n=8) + with torch.no_grad(): + f.ema_G_x[-1].bias.add_(100) + f.ema_G_m[-2].bias.add_(100) + f.ema_prior_x.z.add_(100) + assert state_digest(first) == state_digest(f.observe(n=8)) + with torch.no_grad(): + f.G_x[-1].bias.add_(1) + assert torch.allclose(first["x"] + 1, f.observe(n=8)["x"]) + + +@pytest.mark.parametrize("case_id", CASES[:2]) +def test_late_update_has_no_unowned_model_or_particle_writes(case_id, monkeypatch): + f = fixture(case_id, steps=7000) + f.completed_steps = 3500 # Former hidden solver activation boundary. + before = state_digest({"G": f.G.state_dict(), "priors": f.priors.state_dict()}) + for optimizer in (f.opt_g, *f.critic_optimizers.values()): + monkeypatch.setattr(optimizer, "step", lambda: None) + f.step() + assert state_digest({"G": f.G.state_dict(), "priors": f.priors.state_dict()}) == before + assert not hasattr(f, "_subspace_cache") + assert not hasattr(f, "_subspace_ready") + + +@pytest.mark.parametrize("case_id", CASES) +@pytest.mark.parametrize("family", ["bispf", "bcap"]) +def test_fresh_fixture_restores_all_owned_state_and_next_update(case_id, family): + uninterrupted = fixture(case_id, family=family) + uninterrupted.step() + saved = uninterrupted.state_dict() + resumed = fixture(case_id, family=family) + resumed.load_state_dict(saved) + assert state_digest(saved) == state_digest(resumed.state_dict()) + assert uninterrupted.step() == resumed.step() + assert state_digest(uninterrupted.state_dict()) == state_digest(resumed.state_dict()) + # The returned checkpoint must not alias subsequently mutated live weights. + assert state_digest(saved) != state_digest(uninterrupted.state_dict()) + + +@pytest.mark.parametrize("case_id", CASES[:2]) +def test_each_critic_has_its_own_public_record_and_updated_clock(case_id): + f = fixture(case_id) + f.step(); f.step() + records = [opt.record for opt in f.critic_optimizers.values()] + assert len({id(r) for r in records}) == len(records) + assert all(r.observed_steps == 2 and r.calls == 2 for r in records) + for role, optimizer in f.critic_optimizers.items(): + assert getattr(f, "penalty_" + role).optimizer is optimizer + assert getattr(f, "loss_" + role).thermal_source is optimizer.record + + +@pytest.mark.parametrize("defect", ["old_schema", "missing_rng", "bad_rng", "different_recipe", "bad_model"]) +def test_bad_checkpoint_is_rejected_without_mutating_live_fixture(defect): + f = fixture(CASES[1]); f.step() + before = state_digest(f.state_dict()) + state = f.state_dict() + if defect == "old_schema": + state["version"] = api.VERSION + elif defect == "missing_rng": + del state["streams"]["noise_rng"] + elif defect == "bad_rng": + state["streams"]["noise_rng"] = torch.ones(1, dtype=torch.uint8) + elif defect == "different_recipe": + state["recipe"]["lr"] *= 2 + else: + state["models"]["G_i"]["0.weight"] = torch.zeros(1, 1) + with pytest.raises(ValueError): + f.load_state_dict(state) + assert state_digest(f.state_dict()) == before + + +def test_interrupted_update_requires_restoration_of_complete_checkpoint(monkeypatch): + f = fixture(); saved = f.state_dict() + with monkeypatch.context() as patch: + def fail(): + raise RuntimeError("injected optimizer interruption") + patch.setattr(f.opt_g, "step", fail) + with pytest.raises(RuntimeError, match="injected"): + f.step() + with pytest.raises(RuntimeError, match="completed update boundary"): + f.state_dict() + with pytest.raises(RuntimeError, match="complete checkpoint restore"): + f.step() + f.load_state_dict(saved) + assert state_digest(saved) == state_digest(f.state_dict()) + assert f.step()["step"] == 1 + + +def test_model_random_stream_is_private_to_fixture(): + f = fixture() + before = torch.get_rng_state().clone() + f.step() + assert torch.equal(before, torch.get_rng_state()) + + +@pytest.mark.parametrize("family", ["e22", "atlas", "k3p", "ka2"]) +def test_unsupported_full_recipe_is_refused_without_silent_replacement(family): + recipe = get_recipe(family, batch_size=8, num_particles=256, z_dim=8) + declaration = recipe.to_dict() + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + with pytest.raises(UnsupportedRecipeOverrides, match="cannot execute the intact recipe mechanisms"): + api.MisGANRecoveryFixture(recipe=recipe, max_steps=1) + assert recipe.to_dict() == declaration + + +def test_frozen_prior_stays_frozen_in_actual_training(): + f = fixture(prior_update="frozen") + before = state_digest(f.priors.state_dict()) + f.step() + assert state_digest(f.priors.state_dict()) == before + + +def test_zero_ema_decay_keeps_ema_history_unchanged(): + f = fixture(ema_decay=0) + before = state_digest(f.ema_G_x.state_dict()) + f.step() + assert state_digest(f.ema_G_x.state_dict()) == before + + +@pytest.mark.parametrize("family", ["k3p", "ka2"]) +def test_explicit_supported_scheduled_candidate_restores_exactly(family): + delta = dict(input_noise_std=0., output_noise_std=0., latent_damping_max_rate=0.) + f = fixture(family=family, **delta); f.step() + resumed = fixture(family=family, **delta) + resumed.load_state_dict(f.state_dict()) + assert f.step() == resumed.step() + assert state_digest(f.state_dict()) == state_digest(resumed.state_dict()) + + +def test_stochastic_regularizer_history_is_part_of_fresh_resume(): + f = fixture(prior_regularizer="sigreg", prior_reg=.01); f.step() + saved = f.state_dict() + resumed = fixture(prior_regularizer="sigreg", prior_reg=.01) + resumed.load_state_dict(saved) + assert f.step() == resumed.step() + assert state_digest(f.state_dict()) == state_digest(resumed.state_dict()) + + +def test_training_cannot_be_rebound_to_different_recipe(): + f = fixture(); f.step() + before = state_digest(f.state_dict()) + with pytest.raises(ValueError, match="new execution identity"): + f.rebind_trainer(f.recipe.replace(lr=f.recipe.lr / 2)) + assert state_digest(f.state_dict()) == before + + +def test_recipe_resources_cannot_silently_replace_host_capacity(): + recipe = get_recipe("bispf", batch_size=8, num_particles=32, z_dim=4) + with pytest.raises(ValueError, match="explicitly declared host resources"): + api.MisGANRecoveryFixture(recipe=recipe) + + +def test_supplied_prior_matches_task_owned_wrapped_cloud_and_constructor_streams(): + original = fixture() + recipe = original.recipe + restored = api.MisGANRecoveryFixture( + deepcopy(original.case), recipe=recipe, prior=deepcopy(original.prior_x), + batch_size=8, max_steps=3, seed=0) + assert state_digest(original.state_dict()) == state_digest(restored.state_dict()) + assert original.case["initial_prior"]["kind"] == "particle_cloud" + assert original.case["initial_prior"]["sigma"] == 0 + assert original.case["initial_prior"]["transform"]["sigma"] == .025 + + +@pytest.mark.parametrize("defect", ["kind", "capacity", "dimension", "noise_sigma", "bare_cloud", + "radial_noise", "init_scale", "initial_rows", "dtype"]) +def test_supplied_prior_law_is_checked_before_any_optimizer(defect, monkeypatch): + from particlegan import MoGParticlePrior, ParticlePrior, NormalNoiseManipulator + original = fixture() + supplied = deepcopy(original.prior_x) + if defect == "kind": + supplied = MoGParticlePrior(256, 8, sigma=.025, standardize=False) + elif defect in ("capacity", "dimension"): + supplied = ParticlePrior(128 if defect == "capacity" else 256, 4 if defect == "dimension" else 8) + supplied = supplied.manipulate(NormalNoiseManipulator(.025)) + elif defect == "noise_sigma": + supplied.manipulators[0].sigma = .05 + elif defect == "bare_cloud": + supplied = supplied.base + elif defect == "radial_noise": + supplied.manipulators[0].kappa_radial = .5 + elif defect == "init_scale": + supplied.base.init_std = 2. + elif defect == "initial_rows": + with torch.no_grad(): + supplied.z.add_(1.) + else: + supplied = supplied.double() + def forbidden(*args, **kwargs): + raise AssertionError("optimizer construction preceded prior-law validation") + monkeypatch.setattr(type(original.recipe), "make_generator_optimizer", forbidden) + monkeypatch.setattr(type(original.recipe), "make_critic_optimizer", forbidden) + before = state_digest(supplied.state_dict()) + with pytest.raises(ValueError, match="MisGAN supplied prior"): + api.MisGANRecoveryFixture(deepcopy(original.case), recipe=original.recipe, + prior=supplied, batch_size=8, max_steps=3, seed=0) + assert state_digest(supplied.state_dict()) == before + + +def test_positive_width_mog_is_its_own_explicit_task_cohort(): + case = deepcopy(api.CASES[CASES[0]]) + case["initial_prior"].update(kind="mog", sigma=.025, transform=None) + recipe = get_recipe("bispf", batch_size=8, num_particles=256, z_dim=8, + prior_kind="mog", standardize=False) + first = api.MisGANRecoveryFixture(case, recipe=recipe, batch_size=8, max_steps=3) + supplied = deepcopy(first.prior_x) + second = api.MisGANRecoveryFixture(deepcopy(case), recipe=recipe, + prior=supplied, batch_size=8, max_steps=3) + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + assert first.step() == second.step() + assert state_digest(first.state_dict()) == state_digest(second.state_dict()) + + +@pytest.mark.parametrize("defect", ["sigma", "standardize", "recipe_storage"]) +def test_mog_storage_law_and_recipe_conflicts_are_rejected(defect): + case = deepcopy(api.CASES[CASES[0]]) + case["initial_prior"].update(kind="mog", sigma=.025, transform=None) + recipe = get_recipe("bispf", batch_size=8, num_particles=256, z_dim=8, + prior_kind="mog", standardize=False) + original = api.MisGANRecoveryFixture(case, recipe=recipe, batch_size=8, max_steps=3) + supplied = deepcopy(original.prior_x) + if defect == "sigma": + supplied.set_sigma(.05) + elif defect == "standardize": + supplied.standardize = True + else: + recipe = recipe.replace(prior_kind="particles", sigma_rel=0.) + with pytest.raises(ValueError, match="MisGAN (supplied prior|recipe/task prior)"): + api.MisGANRecoveryFixture(deepcopy(case), recipe=recipe, prior=supplied, + batch_size=8, max_steps=3) + + +def test_manipulator_regularizer_is_explicitly_unsupported_before_optimizer(monkeypatch): + from particlegan.priors import PriorManipulator + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + class Regularizer(PriorManipulator): + def regularize(self, raw_rows, *, sampled_codes=None, indices=None, generated=None, + logits=None, **context): + raise AssertionError("unsupported regularizer was silently invoked") + original = fixture() + supplied = deepcopy(original.prior_x).manipulate(Regularizer()) + def forbidden(*args, **kwargs): + raise AssertionError("unsupported manipulator reached optimizer construction") + monkeypatch.setattr(type(original.recipe), "make_generator_optimizer", forbidden) + monkeypatch.setattr(type(original.recipe), "make_critic_optimizer", forbidden) + with pytest.raises(UnsupportedRecipeOverrides, match="manipulator regularization context"): + api.MisGANRecoveryFixture(deepcopy(original.case), recipe=original.recipe, prior=supplied, + batch_size=8, max_steps=3) + + +@pytest.mark.parametrize("copy_name", ["optimizer", "penalty"]) +def test_conflicting_copies_of_critic_history_are_rejected_atomically(copy_name): + f = fixture(); f.step() + state = f.state_dict() + before = state_digest(state) + record = (state["optimizers"]["m"]["regularizer"]["record"] if copy_name == "optimizer" + else state["penalties"]["m"]["record"]) + record["calls"] += 1 + with pytest.raises(ValueError, match="invalid complete MisGAN checkpoint"): + f.load_state_dict(state) + assert state_digest(f.state_dict()) == before + + +def test_caller_cannot_change_bound_task_prior_through_a_metadata_alias(): + case = deepcopy(api.CASES[CASES[0]]) + f = api.MisGANRecoveryFixture(case, max_steps=1) + before = state_digest(f.state_dict()) + case["initial_prior"]["transform"]["sigma"] = .5 + assert state_digest(f.state_dict()) == before diff --git a/tests/test_misgan_independent_games.py b/tests/test_misgan_independent_games.py new file mode 100644 index 000000000..e74c5878b --- /dev/null +++ b/tests/test_misgan_independent_games.py @@ -0,0 +1,150 @@ +"""Software-only independent-game and complete-state controls; no quality claim.""" +import pytest +import torch + +from benchmarks.toy_audit import api_model_misgan as api +from experiments.forge.state import state_digest +from particlegan.bispf import _LAST_THERMAL_SCALE +from particlegan.recipes import learning_rate_scales + + +@pytest.fixture(autouse=True) +def one_thread(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def fixture(**overrides): + case = api.list_cases()[0] + recipe = api.task_recipe(case).replace(**overrides) + return api.MisGANFixture(case, recipe=recipe, max_steps=4) + + +def test_every_critic_owns_its_optimizer_clock_penalty_and_thermal_readers(): + f = fixture(loss="relativistic") + f.step(); f.step() + records = [optimizer.record for optimizer in f.critic_optimizers.values()] + assert len({id(record) for record in records}) == 3 + for role, optimizer in f.critic_optimizers.items(): + assert optimizer.record.observed_steps == optimizer.record.calls == 2 + assert optimizer.critic is f.D[role] + assert f.penalties[role].optimizer is optimizer + assert f.losses[role].thermal_source is optimizer.record + assert optimizer.record.legacy_thermal_channel is False + assert f.regularizer.thermal_source is f.critic_optimizers["data"].record + + +def test_altering_mask_history_cannot_change_other_games_gradient_scale(): + f = fixture(loss="relativistic") + # The public dense-loss gate activates at 1024; use its actual declared law. + def gradient(role): + fake = torch.linspace(-1., 1., 1024, requires_grad=True) + real = torch.zeros_like(fake) + return torch.autograd.grad(f.losses[role].g_loss(fake, real), fake)[0] + for optimizer in f.critic_optimizers.values(): + optimizer.record._thermal_scale = .5 + before = {role: gradient(role) for role in f.D} + prior_before = f.regularizer(f.prior.z).detach().clone() + record = f.critic_optimizers["mask"].record + record._thermal_scale = .1 + record.calls = 8000 + record.ema_residual = .0001 + assert torch.equal(before["data"], gradient("data")) + assert torch.equal(before["imputer"], gradient("imputer")) + assert not torch.equal(before["mask"], gradient("mask")) + assert torch.equal(prior_before, f.regularizer(f.prior.z).detach()) + + +def test_same_intact_schedule_reaches_all_critic_owners(): + f = fixture(lr_anneal_start=0., lr_floor=.05, network_lr_floor=.05, + beta2_end=.9, optimizer_family="adam", optimizer_convolution="none", optimizer_convolution_rule="polar", + optimizer_smoothing=0., constraint_geometry_mode="none") + f.step(); f.step() + network, _ = learning_rate_scales(1, f.recipe) + for role, optimizer in f.critic_optimizers.items(): + assert [group["lr"] for group in optimizer.param_groups] == [base * network for base in f.critic_initial_lrs[role]] + assert optimizer.param_groups[0]["betas"] == f.opt_d.param_groups[0]["betas"] + assert f.penalties[role].regularizer.coeff == f.penalty.regularizer.coeff + + +@pytest.mark.parametrize("regularizer", ["sbnp", "moment_tether", "sigreg"]) +def test_fresh_object_restores_complete_state_and_exact_next_update(regularizer): + f = fixture(prior_regularizer=regularizer) + f.step() + saved = f.state_dict() + frozen = state_digest(saved) + f.step() + expected = state_digest(f.state_dict()) + assert state_digest(saved) == frozen + resumed = fixture(prior_regularizer=regularizer) + resumed.load_state_dict(saved) + assert state_digest(resumed.state_dict()) == frozen + resumed.step() + assert state_digest(resumed.state_dict()) == expected + assert state_digest(saved) == frozen + + +@pytest.mark.parametrize("defect", ["old_version", "missing_aux_optimizer", "bad_aux_moment", + "contradictory_history", "bad_aux_cooler", "bad_aux_weight", + "bad_rng", "bad_regularizer", "changed_recipe"]) +def test_bad_auxiliary_state_is_rejected_before_any_live_mutation(defect): + f = fixture(prior_regularizer="sigreg"); f.step() + state = f.state_dict() + if defect == "old_version": + state["version"] = "misgan-four-mode-v1" + elif defect == "missing_aux_optimizer": + del state["critic_optimizers"]["mask"] + elif defect == "bad_aux_moment": + first = next(iter(state["critic_optimizers"]["imputer"]["state"].values())) + first["exp_avg"] = torch.zeros(1) + elif defect == "contradictory_history": + state["penalties"]["mask"]["record"]["calls"] += 1 + elif defect == "bad_aux_cooler": + state["penalties"]["mask"]["cooler"]["ema_residual"] = float("nan") + elif defect == "bad_aux_weight": + state["models"]["D"]["mask.0.weight"] = torch.zeros(1) + elif defect == "bad_rng": + state["streams"]["model_rng"] = torch.ones(1, dtype=torch.uint8) + elif defect == "bad_regularizer": + key = next(k for k, v in state["models"]["regularizer"].items() if isinstance(v, torch.Tensor)) + state["models"]["regularizer"][key] = torch.zeros(1) + else: + state["recipe"]["lr"] *= 2 + before = state_digest(f.state_dict()) + ambient = torch.get_rng_state().clone() + thermal = dict(_LAST_THERMAL_SCALE) + with pytest.raises(ValueError, match="checkpoint"): + f.load_state_dict(state) + assert state_digest(f.state_dict()) == before + assert torch.equal(torch.get_rng_state(), ambient) + assert dict(_LAST_THERMAL_SCALE) == thermal + + +def test_interrupted_update_requires_complete_restore(monkeypatch): + f = fixture(); saved = f.state_dict() + with monkeypatch.context() as patch: + def fail(): + raise RuntimeError("interrupted auxiliary optimizer") + patch.setattr(f.critic_optimizers["mask"], "step", fail) + with pytest.raises(RuntimeError, match="interrupted"): + f.step() + with pytest.raises(RuntimeError, match="completed update boundary"): + f.state_dict() + with pytest.raises(RuntimeError, match="restoration"): + f.step() + f.load_state_dict(saved) + assert state_digest(f.state_dict()) == state_digest(saved) + f.step() + + +@pytest.mark.parametrize("overrides", [dict(input_noise_std=.1), dict(output_noise_std=.1), + dict(kinetic_transport_weight=.1), dict(kinetic_transport_local_weight=.1), + dict(training_precision="bf16_channels_last"), dict(kappa_radial=.5)]) +def test_unsupported_mechanism_refuses_before_model_construction(monkeypatch, overrides): + def no_models(): + raise AssertionError("unsupported recipe reached model construction") + monkeypatch.setattr(api, "Generators", no_models) + with pytest.raises(ValueError, match="intact recipe mechanisms"): + fixture(**overrides) diff --git a/tests/test_observation_checkpoints.py b/tests/test_observation_checkpoints.py new file mode 100644 index 000000000..e511439fe --- /dev/null +++ b/tests/test_observation_checkpoints.py @@ -0,0 +1,52 @@ +"""Checkpoint recording must preserve public VAE observations and exact replay.""" +import torch +import pytest + +from benchmarks.toy_audit.api_model_vae import build_case +from experiments.forge.observation_checkpoints import checkpoint_observer +from experiments.forge.state import state_digest + + +def test_recording_is_read_only_and_checkpoint_replays(tmp_path): + fixture = build_case("api-model-vae-hard", max_steps=2) + fixture.step() + before = state_digest(fixture.state_dict()) + expected = fixture.observe(n=32, seed=10000) + receipts = [] + fixture.observe = checkpoint_observer(fixture, tmp_path / "states", receipts) + actual = fixture.observe(n=32, seed=10000) + assert actual["metrics"] == expected["metrics"] + assert state_digest(fixture.state_dict()) == before + saved = torch.load(receipts[0]["path"], weights_only=False) + assert state_digest(saved) == before + replay = build_case("api-model-vae-hard", max_steps=2) + replay.load_state_dict(saved) + fixture.step() + replay.step() + assert state_digest(fixture.state_dict()) == state_digest(replay.state_dict()) + + +def test_duplicate_observation_refuses_to_replace_state(tmp_path): + fixture = build_case("api-model-vae-hard", max_steps=1) + receipts = [] + fixture.observe = checkpoint_observer(fixture, tmp_path / "states", receipts) + fixture.observe(n=16) + with pytest.raises(FileExistsError): + fixture.observe(n=16) + assert len(receipts) == 1 + + +def test_vae_transport_requires_its_real_public_consumer(): + import json + from pathlib import Path + from copy import deepcopy + from experiments.forge.model_toy_adapter import preflight + root = Path(__file__).resolve().parents[1] + card = json.loads((root / 'configs/forge/ideas/bispf-vaegan-transport-v1.json').read_text()) + for mode in ('hard', 'categorical'): + task = json.loads((root / f'configs/forge/tasks/model_vae_{mode}.json').read_text()) + assert preflight(task, card, root=root) == [] + for field, invalid in (('transport_consumer', None), ('host', 'api-model-ddgan-gaussian')): + broken = deepcopy(task) + broken['execution'][field] = invalid + assert preflight(broken, card, root=root) diff --git a/tests/test_pr399_scores.py b/tests/test_pr399_scores.py index 2a37581ff..602e171fe 100644 --- a/tests/test_pr399_scores.py +++ b/tests/test_pr399_scores.py @@ -4,6 +4,7 @@ import pytest +from pr_integration_compat import before_pr_integration from experiments.forge.pr399_scores import PINS, publications, tier_rows, family_lines from experiments.forge.source_bound_board import BOARD_SOURCE, validate_board from experiments.forge.test_performance import SUPPLEMENTAL, build_report @@ -53,6 +54,8 @@ def test_successor_and_paired_task_semantics_match_the_recorded_ordinary_questio for condition in document['condition_contracts'].values(): original = condition['task'] declared = json.loads((ROOT / 'configs/forge/tasks' / (original['id'] + '.json')).read_text()) + declared = before_pr_integration( + ROOT, declared, "configs/forge/tasks/" + original["id"] + ".json") assert original['execution'] == declared['execution'] # Preserve original source and evaluator identities separately; # only source hashes and their revision explanations differ. diff --git a/tests/test_pr_integration_source_binding.py b/tests/test_pr_integration_source_binding.py new file mode 100644 index 000000000..56cb08fc7 --- /dev/null +++ b/tests/test_pr_integration_source_binding.py @@ -0,0 +1,158 @@ +"""Integrated future sources do not rewrite or qualify archived research.""" +from copy import deepcopy +import hashlib +import json +from pathlib import Path +import subprocess + +import pytest + +from pr_integration_compat import COMBINED_INTEGRATION, before_pr_integration + +ROOT = Path(__file__).resolve().parents[1] +MISGAN_V2_SOURCE = "ea75964cd20ed87e6f7a798e694205594b7e65a9" +COMBINED_RECEIPT = "reports/forge/reviewed-pr-integration-20261109/source-binding.json" + + +def test_every_integration_binding_preserves_the_exact_parent_contract(): + receipts = list((ROOT / "reports/forge").glob("pr-integration-202611*/pr-*.json")) + assert receipts + for path in receipts: + receipt = json.loads(path.read_text()) + for row in receipt["tasks"]: + relative = row["previous_task_path"] + current = json.loads((ROOT / relative).read_text()) + assert before_pr_integration(ROOT, current, relative) != current + + +def test_misgan_v2_keeps_coupled_evidence_separate_and_unmeasured(): + receipt_path = "reports/forge/pr-integration-20261109/misgan-execution-v2.json" + raw = (ROOT / receipt_path).read_bytes() + assert raw == subprocess.check_output( + ["git", "show", MISGAN_V2_SOURCE + ":" + receipt_path], cwd=ROOT) + receipt = json.loads(raw) + assert receipt["qualification_input"] is False + assert receipt["training_rerun"] is False + assert receipt["historical_quality_inherited"] is False + assert receipt["corrected_execution_quality"] == "unmeasured" + for record in [*receipt["coupled_v1"].values(), *receipt["unchanged_research_results"]]: + data = subprocess.check_output([ + "git", "show", record["source_commit"] + ":" + record["source_path"]], cwd=ROOT) + assert hashlib.sha256(data).hexdigest() == record["sha256"] + assert hashlib.sha1(b"blob " + str(len(data)).encode() + b"\0" + data).hexdigest() == record["git_blob"] + if "archived_path" in record: + assert (ROOT / record["archived_path"]).read_bytes() == data + elif record in receipt["unchanged_research_results"]: + assert (ROOT / record["source_path"]).read_bytes() == data + archived = receipt["independent_v2"] + originals = {} + for member in ("provider", "task"): + data = subprocess.check_output([ + "git", "show", MISGAN_V2_SOURCE + ":" + archived[member + "_path"]], cwd=ROOT) + assert hashlib.sha256(data).hexdigest() == archived[member + "_sha256"] + originals[member] = data + original_task = json.loads(originals["task"]) + task = json.loads((ROOT / archived["task_path"]).read_text()) + assert task["evaluation"]["integration_source_binding"]["id"] == COMBINED_INTEGRATION + assert before_pr_integration(ROOT, task, archived["task_path"]) != task + assert task["execution"] == original_task["execution"] + assert {k: v for k, v in task["evaluation"].items() + if k not in {"sources", "integration_source_binding"}} == { + k: v for k, v in original_task["evaluation"].items() if k != "sources"} + sources = task["evaluation"]["sources"] + assert archived["provider_path"] in sources + for path, digest in sources.items(): + assert hashlib.sha256((ROOT / path).read_bytes()).hexdigest() == digest + assert task["execution"]["execution_contract"] == receipt["version"] + assert task["execution"]["host_definition"]["execution_contract"] == receipt["version"] + view = json.loads((ROOT / "configs/forge/views/misgan-bispf-research-v1.json").read_text()) + assert view["revision"] == 2 + assert "v2 quality is unmeasured" in view["policy_change_reason"] + + +def _git(root, *args): + return subprocess.check_output(["git", *args], cwd=root, stderr=subprocess.DEVNULL).decode().strip() + + +def _write(root, path, value): + target = root / path + target.parent.mkdir(parents=True, exist_ok=True) + target.write_text(json.dumps(value, indent=2) + "\n") + + +@pytest.fixture +def combined_binding(tmp_path): + _git(tmp_path, "init", "-q") + _git(tmp_path, "config", "user.email", "binding-test@example.invalid") + _git(tmp_path, "config", "user.name", "Binding test") + (tmp_path / "provider.py").write_text("original\n") + original = {"id": "toy", "execution": {"steps": 2}, "evaluation": { + "sources": {"provider.py": hashlib.sha256((tmp_path / "provider.py").read_bytes()).hexdigest()}, + "evaluator_revision": {"id": "original-revision"}, + "integration_source_binding": {"id": "original-binding"}}} + _write(tmp_path, "task.json", original) + _git(tmp_path, "add", ".") + _git(tmp_path, "commit", "-qm", "original") + + def layer(text, execution=None): + previous_raw = (tmp_path / "task.json").read_bytes() + previous = json.loads(previous_raw) + previous_commit = _git(tmp_path, "rev-parse", "HEAD") + current = deepcopy(previous) + (tmp_path / "provider.py").write_text(text) + binding = dict(id=COMBINED_INTEGRATION, previous_task_commit=previous_commit, + previous_task_path="task.json", previous_task_sha256=hashlib.sha256(previous_raw).hexdigest(), + previous_task_blob=_git(tmp_path, "rev-parse", previous_commit + ":task.json"), + integration_receipt=COMBINED_RECEIPT) + current["evaluation"]["integration_source_binding"] = binding + current["evaluation"]["sources"] = { + "provider.py": hashlib.sha256((tmp_path / "provider.py").read_bytes()).hexdigest()} + if execution is not None: + current["execution"] = execution + _write(tmp_path, "task.json", current) + row = {key: binding[key] for key in ( + "previous_task_commit", "previous_task_path", "previous_task_sha256", "previous_task_blob")} + row.update(current_task_sha256=hashlib.sha256((tmp_path / "task.json").read_bytes()).hexdigest(), + sources_before=previous["evaluation"]["sources"], sources_after=current["evaluation"]["sources"]) + if execution is not None: + row.update(execution_before=deepcopy(previous["execution"]), execution_after=deepcopy(current["execution"])) + receipt = dict(schema="pr_combined_integration_source_binding_v1", pr="combined", tasks=[row], + training_rerun=False, qualification_results_changed=False, + automatic_cross_source_reuse=False, qualification_input=False) + _write(tmp_path, COMBINED_RECEIPT, receipt) + return current, receipt + + return tmp_path, original, layer + + +def test_combined_layers_restore_both_ancestral_bindings_and_use_exact_inner_source(combined_binding): + root, original, layer = combined_binding + first, _ = layer("first\n", {"steps": 2, "observation_checkpoints": True}) + assert before_pr_integration(root, first, "task.json") == original + _git(root, "add", ".") + _git(root, "commit", "-qm", "first integration") + second, _ = layer("second\n") + # Both the source and receipt path now differ on disk from the inner layer. + assert before_pr_integration(root, second, "task.json") == original + + +@pytest.mark.parametrize("damage", ["source", "parent_blob", "execution", "previous_revision", "qualification"]) +def test_combined_binding_rejects_wrong_sources_contracts_and_quality_inheritance(combined_binding, damage): + root, _, layer = combined_binding + current, receipt = layer("current\n", {"steps": 2, "observation_checkpoints": True}) + row = receipt["tasks"][0] + if damage == "source": + (root / "provider.py").write_text("damaged\n") + elif damage == "parent_blob": + row["previous_task_blob"] = "0" * 40 + elif damage == "execution": + current["execution"]["steps"] = 3 + elif damage == "previous_revision": + current["evaluation"]["evaluator_revision"] = {"id": "changed"} + else: + receipt["qualification_input"] = True + _write(root, "task.json", current) + row["current_task_sha256"] = hashlib.sha256((root / "task.json").read_bytes()).hexdigest() + _write(root, COMBINED_RECEIPT, receipt) + with pytest.raises(AssertionError): + before_pr_integration(root, current, "task.json") diff --git a/tests/test_public_package_imports.py b/tests/test_public_package_imports.py index 2d392c0ed..0b5514fc3 100644 --- a/tests/test_public_package_imports.py +++ b/tests/test_public_package_imports.py @@ -30,12 +30,23 @@ def find_spec(self, fullname, path=None, target=None): raise AssertionError('core import requested ' + fullname) sys.meta_path.insert(0, NoPlotting()) - from particlegan import ManipulatedPrior, ParticlePrior + from particlegan import ( + ManipulatedPrior, + NeuralComponentImputer, + ParticlePrior, + joint_reconstruction_loss, + masked_mixture_nll, + masked_quantile_transport_loss, + ) from particlegan_forge import NamedStreams, TaskSpec, render_training_gif from particlegan_forge.__main__ import main assert get_type_hints(ParticlePrior.manipulate)['return'] is ManipulatedPrior assert ParticlePrior(num_particles=2).sample(1)[0].shape == (1, 4) + assert all(callable(fn) for fn in ( + joint_reconstruction_loss, masked_mixture_nll, + masked_quantile_transport_loss, NeuralComponentImputer, + )) assert NamedStreams().generator('data').device.type == 'cpu' assert callable(render_training_gif) and callable(main) and TaskSpec assert not any(name.split('.')[0] in {'matplotlib', 'PIL'} for name in sys.modules) @@ -97,3 +108,58 @@ def test_renderer_preserves_matplotlib_backend_and_writes_observed_frames(tmp_pa assert matplotlib.get_backend() == before_backend assert plt.get_fignums() == before_figures """, tmp_path / "fixture.gif") + + +def test_pypi_wheel_and_sdist_remain_tiny_and_exclude_non_package_trees(tmp_path): + _python(""" + from pathlib import Path + import shutil + import sys + import tarfile + import zipfile + import setuptools.build_meta as build_meta + + root = Path.cwd() + stage = Path(sys.argv[1]) / "stage" + dist = Path(sys.argv[1]) / "dist" + stage.mkdir() + dist.mkdir() + for name in ("pyproject.toml", "MANIFEST.in", "README.md", "LICENSE"): + shutil.copy2(root / name, stage / name) + for pkg in ("particlegan", "particlegan_forge"): + shutil.copytree(root / pkg, stage / pkg) + for excluded in ( + "tests", "reports", "results", "experiments", "benchmarks", "lib", + "configs", "data", "runs", "artifacts", "docs", "examples", "ops", "scripts", + ): + (stage / excluded).mkdir() + (stage / excluded / "probe.py").write_text("raise RuntimeError('should not be packaged')\\n") + + import os + os.chdir(stage) + wheel = dist / build_meta.build_wheel(str(dist)) + sdist = dist / build_meta.build_sdist(str(dist)) + + max_bytes = 600_000 + assert wheel.stat().st_size < max_bytes, wheel.stat().st_size + assert sdist.stat().st_size < max_bytes, sdist.stat().st_size + + with zipfile.ZipFile(wheel) as archive: + wheel_roots = {name.split("/")[0] for name in archive.namelist()} + assert all( + r in {"particlegan", "particlegan_forge"} or r.endswith(".dist-info") + for r in wheel_roots + ), wheel_roots + + allowed_sdist_roots = { + "LICENSE", "MANIFEST.in", "PKG-INFO", "README.md", + "particlegan", "particlegan.egg-info", "particlegan_forge", + "pyproject.toml", "setup.cfg", + } + with tarfile.open(sdist) as archive: + sdist_roots = { + parts[1] for name in archive.getnames() + if len(parts := name.split("/")) > 1 + } + assert sdist_roots <= allowed_sdist_roots, sdist_roots - allowed_sdist_roots + """, tmp_path) diff --git a/tests/test_publication_integrity.py b/tests/test_publication_integrity.py new file mode 100644 index 000000000..9fdeda9e2 --- /dev/null +++ b/tests/test_publication_integrity.py @@ -0,0 +1,111 @@ +"""Scientific scope corrections never manufacture or transfer experiment grades.""" +from copy import deepcopy +import json +from pathlib import Path +import subprocess + +import pytest + +from experiments.forge.contracts import read_json, stable_hash +from experiments.forge.family_reports import _selected_cohorts, render_problem_list +from experiments.forge.leaderboard_contract import fixed_outcomes +from experiments.forge.publication_integrity import ( + CORRECTIONS, IDENTITY_FIELDS, annotate_publication, coverage_disposition, load_corrections, +) +from reports.forge import regenerate_technique_inventory as inventory + +ROOT = Path(__file__).resolve().parents[1] + + +def original_coverage(): + source = read_json(ROOT / CORRECTIONS)["source_coverage"] + data = subprocess.check_output(["git", "show", source["git_blob"]], cwd=ROOT) + import hashlib + assert hashlib.sha256(data).hexdigest() == source["sha256"] + return json.loads(data) + + +def test_corrections_bind_original_observations_without_rewriting_their_verdicts(): + coverage = original_coverage() + original = deepcopy(coverage) + corrections = load_corrections(ROOT) + records = {record["key"]: record for record in coverage["records"]} + assert corrections and set(corrections) <= records.keys() + for key in corrections: + record = records[key] + disposition = coverage_disposition(ROOT, record) + assert disposition["eligible"] is False + assert disposition["scope"] == "archived_contract_diagnostic" + assert record["key"] == stable_hash([record[field] for field in IDENTITY_FIELDS]) + assert coverage == original + + +def test_correction_cannot_follow_a_task_label_to_corrected_source(): + corrections = load_corrections(ROOT) + record = deepcopy(next(row for row in original_coverage()["records"] if row["key"] in corrections)) + record["source_digest"] = "f" * 64 + with pytest.raises(ValueError, match="invalid original identity"): + coverage_disposition(ROOT, record) + record["key"] = stable_hash([record[field] for field in IDENTITY_FIELDS]) + assert coverage_disposition(ROOT, record) is None + + +def test_same_scientific_key_cannot_silently_change_runtime_or_observed_verdict(): + corrections = load_corrections(ROOT) + record = next(row for row in original_coverage()["records"] if row["key"] in corrections) + for field, value in (("runtime", {"python": "different-runtime"}), ("status", "INVALID")): + changed = {**record, field: value} + with pytest.raises(ValueError, match="original observation/runtime"): + coverage_disposition(ROOT, changed) + + +def test_annotation_preserves_exact_selected_cohort_and_all_receipt_fields(): + publication = read_json(ROOT / "reports/forge/technique-inventory.json") + before = deepcopy(publication) + projected = annotate_publication(ROOT, publication) + corrected = 0 + for (family, original), (_, actual) in zip( + _selected_cohorts(publication["family_progress"]), + _selected_cohorts(projected["family_progress"])): + for task, old in original["tasks"].items(): + new = actual["tasks"][task] + assert {key: value for key, value in new.items() if key != "evidence_correction"} == old + corrected += "evidence_correction" in new + assert actual["total"] == original["total"], family["id"] + assert corrected > 0 + assert publication == before + + +def test_operational_outcomes_are_not_scientific_failures(): + statuses = {status: status for status in ("PASS", "FAIL", "BLOCKED", "ERROR", "INVALID", "INCOMPLETE", "NOT_RUN")} + counts = fixed_outcomes(statuses, list(statuses), []) + assert (counts["passed"], counts["failed"], counts["not_measured"]) == (1, 1, 1) + assert counts["other"] == {"BLOCKED": 1, "ERROR": 1, "INCOMPLETE": 1, "INVALID": 1} + text = inventory._format_tier1_bucket(list(statuses), len(statuses), bold_score=True) + assert "1 fail" in text and "1 blocked" in text and "1 error" in text + + +def test_current_readout_never_extrapolates_diagnostic_coverage_to_higher_tiers(monkeypatch): + payload = {"source_digest": "a" * 64, "view_revision": 16, "req_total": 2, "diag_total": 1, + "rows": [{"family_id": "example", "family_label": "Example", "family_page": "example.md", + "candidate_id": "example", "card_rel": "example.json", "candidate_revision": "b" * 64, + "source_digest": "a" * 64, "req_outcomes": ["PASS", "BLOCKED"], + "diag_outcomes": ["ERROR"], "used_records": [], "all_preflight_blocked": False}]} + monkeypatch.setattr(inventory, "_concluded_current_source_tier1_payload", lambda *args: payload) + monkeypatch.setattr(inventory, "_selected_recipe_binary_task_statuses", + lambda *args: pytest.fail("ordinary table must not use diagnostic projection")) + text = inventory._current_source_tier1_readouts_markdown({}, ROOT, ROOT / "report.md") + assert "1/2 (1 blocked)" in text and "0/1 (1 error)" in text + assert "Tier 2" not in text and "binary PASS or FAIL" not in text + + +def test_problem_summary_follows_actual_selected_table_not_stale_historical_claims(): + publication = read_json(ROOT / "reports/forge/technique-inventory.json") + task = "ring_extension" + passers = [family["label"] for family, cohort in _selected_cohorts(publication["family_progress"]) + if cohort["tasks"][task]["status"] == "PASS"] + text = render_problem_list(ROOT, publication, ROOT / "reports/forge/problems.md") + line = next(line for line in text.splitlines() if line.startswith("| [Keep a learned ring")) + expected = ("Selected recorded PASS: " + ", ".join(passers) if passers else "No selected recorded PASS") + assert expected in line + assert "Historical diagnosis (2026-10-15)" in text diff --git a/tests/test_r1r2_update_oracle.py b/tests/test_r1r2_update_oracle.py new file mode 100644 index 000000000..7a5a1a06f --- /dev/null +++ b/tests/test_r1r2_update_oracle.py @@ -0,0 +1,127 @@ +"""Software oracle for R1/R2 updates, not a scientific quality experiment. + +The reference spells out the pinned R3GAN Trainer.py scalar equations and +uses native Adam directly, without repository loss, penalty or schedule helpers. +It adapts only the input shape and adds the task's learned MoG parameter group. +""" +from copy import deepcopy +import math + +import torch +from torch import nn +from torch.nn import functional as F + +from particlegan import GANTrainer, MoGParticlePrior, Recipe +from particlegan.init import deterministic_orthogonal_ + + +def _assert_tensors_close(actual, expected): + torch.testing.assert_close(actual, expected, rtol=0., atol=2e-12) + + +def test_public_r1r2_updates_match_independent_native_adam_oracle(): + # Constructor draws are isolated and replaced by the public initializer. + with torch.random.fork_rng(devices=[]): + torch.manual_seed(0) + generator = nn.Sequential(nn.Linear(2, 5), nn.Tanh(), nn.Linear(5, 2)).double() + critic = nn.Sequential(nn.Linear(2, 5), nn.Tanh(), nn.Linear(5, 1)).double() + prior = MoGParticlePrior(8, 2, sigma=.1, standardize=False, dtype=torch.float64) + deterministic_orthogonal_(generator, seed=0) + deterministic_orthogonal_(critic, seed=1) + deterministic_orthogonal_(prior, seed=0) + recipe = Recipe.from_dict(dict( + optimizer_family="adam", reg_arm="a_r1r2", num_particles=8, z_dim=2, + batch_size=4, total_steps=20, prior_kind="mog", standardize=False, + lr=.0085, d_lr_mult=1.5, prior_lr_mult=2., betas=(0., .9), + beta2_end=.99, beta2_anneal_end=.2, reg_coeff=1., reg_coeff_end=.1, + reg_coeff_anneal_end=.2, reg_every=1, reg_anchor_weight=0., d_guard_ratio=0., + latent_damping_max_rate=0., direct_particle_gain=False, input_noise_std=0., + output_noise_std=0., prior_reg=0., prior_regularizer="none", ema_decay=0., + lr_anneal_start=.2, lr_floor=.1, network_lr_floor=.1, network_lr_horizon_cap=None)) + trainer = GANTrainer(recipe, generator, critic, prior=prior, seed=0) + expected_g, expected_d, expected_prior = map(deepcopy, (generator, critic, prior)) + expected_opt_g = torch.optim.Adam([ + {"params": expected_g.parameters(), "lr": .0085}, + {"params": expected_prior.parameters(), "lr": .017}], betas=(0., .9), eps=1e-8) + expected_opt_d = torch.optim.Adam(expected_d.parameters(), lr=.01275, betas=(0., .9), eps=1e-8) + index_rng, noise_rng = torch.Generator(), torch.Generator() + index_rng.set_state(trainer.latent_generator.get_state()) + noise_rng.set_state(trainer.prior_noise_generator.get_state()) + data_rng = torch.Generator().manual_seed(0) + critic_after_d = [] + trainer.opt_d.register_step_post_hook( + lambda *_: critic_after_d.append([p.detach().clone() for p in critic.parameters()])) + + # Seven independent one-update comparisons span the midpoint, endpoint and + # hold of beta2/gamma, and the beginning of the separate LR anneal. + for step in range(7): + real = torch.randn(4, 2, generator=data_rng, dtype=torch.float64) + generator_real = torch.randn(4, 2, generator=data_rng, dtype=torch.float64) + .7 + weight = .5 * (1. + math.cos(math.pi * min(1., step / 4.))) + beta2, gamma = .99 + (.9 - .99) * weight, .1 + .9 * weight + lr_fraction = min(1., max(0., (step - 4.) / 16.)) + lr_scale = .1 + .9 * .5 * (1. + math.cos(math.pi * lr_fraction)) + for optimizer in (expected_opt_g, expected_opt_d): + for group in optimizer.param_groups: + group["betas"] = (0., beta2) + expected_opt_g.param_groups[0]["lr"] = .0085 * lr_scale + expected_opt_g.param_groups[1]["lr"] = .017 * lr_scale + expected_opt_d.param_groups[0]["lr"] = .0085 * 1.5 * lr_scale + + with torch.autograd.set_multithreading_enabled(False): + with torch.no_grad(): + latent, _ = expected_prior.sample(4, generator=index_rng, noise_generator=noise_rng) + fake = expected_g(latent) + real_input = real.detach().clone().requires_grad_(True) + fake_input = fake.detach().requires_grad_(True) + real_scores, fake_scores = expected_d(real_input), expected_d(fake_input) + real_gradient, = torch.autograd.grad(real_scores.sum(), real_input, create_graph=True) + fake_gradient, = torch.autograd.grad(fake_scores.sum(), fake_input, create_graph=True) + penalty = gamma / 2. * (real_gradient.square().sum(1).mean() + + fake_gradient.square().sum(1).mean()) + loss_d = F.softplus(fake_scores - real_scores).mean() + penalty + expected_opt_d.zero_grad() + loss_d.backward() + expected_opt_d.step() + + expected_d.requires_grad_(False) + # Draw fresh differentiable fakes and evaluate the updated critic. + latent, _ = expected_prior.sample(4, generator=index_rng, noise_generator=noise_rng) + fake_scores = expected_d(expected_g(latent)) + real_scores = expected_d(generator_real) + loss_g = F.softplus(real_scores - fake_scores).mean() + expected_opt_g.zero_grad() + loss_g.backward() + expected_opt_g.step() + expected_d.requires_grad_(True) + + result = trainer.step(real, generator_real=generator_real) + for actual, expected in ((result["loss_d"], loss_d), (result["loss_g"], loss_g), + (result["penalty"], penalty)): + _assert_tensors_close(actual, expected) + for actual_module, expected_module in ((generator, expected_g), (critic, expected_d), + (prior, expected_prior)): + for actual, expected in zip(actual_module.parameters(), expected_module.parameters()): + _assert_tensors_close(actual, expected) + _assert_tensors_close(actual.grad, expected.grad) + # D cannot move during the generator/prior phase. + assert all(torch.equal(saved, parameter) for saved, parameter in + zip(critic_after_d[-1], critic.parameters())) + assert all(parameter.requires_grad for parameter in critic.parameters()) + for actual_optimizer, expected_optimizer in ((trainer.opt_g, expected_opt_g), + (trainer.opt_d, expected_opt_d)): + assert type(actual_optimizer) is torch.optim.Adam + for actual_group, expected_group in zip(actual_optimizer.param_groups, expected_optimizer.param_groups): + assert actual_group["betas"] == expected_group["betas"] + assert actual_group["lr"] == expected_group["lr"] + for actual_parameter, expected_parameter in zip(actual_group["params"], expected_group["params"]): + actual_state, expected_state = (actual_optimizer.state[actual_parameter], + expected_optimizer.state[expected_parameter]) + assert actual_state.keys() == expected_state.keys() + for name in expected_state: + _assert_tensors_close(actual_state[name], expected_state[name]) + assert trainer.completed_steps == trainer.opt_d.record.observed_steps == step + 1 + assert trainer.penalty.regularizer.coeff == gamma + assert torch.equal(index_rng.get_state(), trainer.latent_generator.get_state()) + assert torch.equal(noise_rng.get_state(), trainer.prior_noise_generator.get_state()) + assert not torch.equal(prior.z, deterministic_orthogonal_(deepcopy(expected_prior), seed=0).z) diff --git a/tests/test_recipe_encoder_groups.py b/tests/test_recipe_encoder_groups.py new file mode 100644 index 000000000..a19f7a859 --- /dev/null +++ b/tests/test_recipe_encoder_groups.py @@ -0,0 +1,118 @@ +"""Native Adam encoder group parity and public model-provider continuation.""" +from copy import deepcopy +import json +from pathlib import Path + +import pytest +import torch +from torch import nn + +from benchmarks.toy_audit import api_model_ae, api_model_ae_ddgan, api_model_vae +from experiments.forge.state import state_digest +from particlegan import Recipe, init +from particlegan.recipe_schedules import apply_training_schedules + + +ROOT = Path(__file__).resolve().parents[1] + + +def r1_recipe(card="r1r2-repair-control-20261022"): + return Recipe.from_dict(json.loads((ROOT / "configs/forge/ideas" / (card + ".json")).read_text())["recipe_overrides"]) + + +@pytest.fixture(autouse=True) +def serial_torch(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def components(recipe, dtype=torch.float32): + with torch.random.fork_rng(devices=[]): + torch.manual_seed(0) + generator, encoder, critic = nn.Linear(2, 2), nn.Linear(2, 2), nn.Linear(2, 1) + prior = recipe.make_prior(sigma=.1) + for offset, module in enumerate((generator, encoder, critic, prior)): + init.deterministic_orthogonal_(module, seed=offset) + module.to(dtype=dtype) + return generator, encoder, critic, prior + + +@pytest.mark.parametrize("dtype", [torch.float32, torch.float64]) +@pytest.mark.parametrize("card", ["r1r2-repair-control-20261022", "recipe-prior-refactor-r1r2-v1"]) +def test_native_adam_split_is_bit_exact_per_parameter_and_state(dtype, card): + recipe = r1_recipe(card).replace(num_particles=8, z_dim=2, batch_size=4, total_steps=20, + prior_kind="mog", sigma_rel=0., standardize=False) + left = components(recipe, dtype) + right = deepcopy(left) + g, e, d, prior = left + split_g, split_e, split_d, split_prior = right + combined, combined_d = recipe.make_optimizers(g, d, prior, encoder=e, foreach=False, fused=False) + split, split_critic = recipe.make_optimizers(split_g, split_d, split_prior, + encoder=split_e, separate_encoder_groups=True, foreach=False, fused=False) + assert type(combined) is type(split) is torch.optim.Adam + assert len(combined.param_groups) == 3 + assert [group["role"] for group in split.param_groups] == ["generator", "encoder", "prior"] + assert split.param_groups[0]["lr"] == split.param_groups[1]["lr"] + assert split.param_groups[0]["betas"] == split.param_groups[1]["betas"] + left_params = [p for group in combined.param_groups for p in group["params"]] + right_params = [p for group in split.param_groups for p in group["params"]] + for step in range(6): + apply_training_schedules(step, recipe, (combined, combined_d)) + apply_training_schedules(step, recipe, (split, split_critic)) + for index, (a, b) in enumerate(zip(left_params, right_params)): + gradient = torch.arange(a.numel(), dtype=dtype).reshape_as(a) / 11 + (index + 1) * .13 - step * .07 + # A missing gradient keeps its own Adam clock, independently of group boundaries. + a.grad = None if (step + index) % 4 == 0 else gradient.clone() + b.grad = None if a.grad is None else gradient.clone() + combined.step() + split.step() + for a, b in zip(left_params, right_params): + assert torch.equal(a, b) + assert state_digest(combined.state.get(a, {})) == state_digest(split.state.get(b, {})) + + +def test_default_keeps_legacy_groups_and_optimizer_checkpoint_layout(): + recipe = r1_recipe().replace(num_particles=8, z_dim=2, prior_kind="mog", sigma_rel=0., standardize=False) + g, e, d, prior = components(recipe) + default, _ = recipe.make_optimizers(g, d, prior, encoder=e, foreach=False) + explicit, _ = recipe.make_optimizers(g, d, prior, encoder=e, + separate_encoder_groups=False, foreach=False) + assert len(default.param_groups) == 3 + assert [id(p) for p in default.param_groups[0]["params"]] == [id(p) for p in g.parameters()] + assert default.param_groups[1]["params"] == list(e.parameters()) + assert default.param_groups[2]["params"] == [prior.z] + assert all("role" not in group for group in default.param_groups) + assert state_digest(default.state_dict()) == state_digest(explicit.state_dict()) + restored, _ = recipe.make_optimizers(g, d, prior, encoder=e, foreach=False) + restored.load_state_dict(default.state_dict()) + assert state_digest(restored.state_dict()) == state_digest(default.state_dict()) + with pytest.raises(TypeError, match="must be a boolean"): + recipe.make_optimizers(g, d, prior, encoder=e, separate_encoder_groups=1) + + +CASES = [(provider, case) for provider in (api_model_ae, api_model_vae, api_model_ae_ddgan) + for case in provider.list_cases()] + + +@pytest.mark.parametrize("provider,case", CASES, ids=[case["id"] for _, case in CASES]) +def test_plain_ns_amsgrad_public_model_policy_and_exact_resume(provider, case): + task_recipe = provider.task_recipe(case) + task_fields = ("model", "conditioning", "encoder_mode", "num_classes", "alpha_bar", + "prior_kind", "sigma_rel", "standardize", "num_particles", "z_dim", "batch_size", + "total_steps", "observation_sigma", "reconstruction_weight") + recipe = r1_recipe().replace(**{name: getattr(task_recipe, name) for name in task_fields}) + assert recipe.loss == "non_saturating" and recipe.amsgrad + fixture = provider.build_case(case["id"], recipe=recipe, max_steps=3) + assert type(fixture.opt_g) is torch.optim.Adam + assert [group["role"] for group in fixture.opt_g.param_groups] == ["generator", "encoder", "prior"] + assert fixture.policy.roles[0] == ["generator", "encoder", "table"] + fixture.step() + checkpoint = fixture.state_dict() + expected_step = fixture.step() + expected = state_digest(fixture.state_dict()) + restored = provider.build_case(case["id"], recipe=recipe, max_steps=3) + restored.load_state_dict(checkpoint) + assert restored.step() == expected_step + assert state_digest(restored.state_dict()) == expected diff --git a/tests/test_recipe_entrypoint_compat.py b/tests/test_recipe_entrypoint_compat.py new file mode 100644 index 000000000..7b38dc9ee --- /dev/null +++ b/tests/test_recipe_entrypoint_compat.py @@ -0,0 +1,57 @@ +"""Source-refusal expectations confer no compatibility or qualification credit.""" +from hashlib import sha256 + +import pytest + +from recipe_entrypoint_compat import frozen_restoration_source, model_source_blockers + + +def source(tmp_path, relative, data): + path = tmp_path / relative + path.parent.mkdir(parents=True, exist_ok=True) + path.write_bytes(data) + return path + + +def task(relative, expected): + return {"evaluation": {"sources": {relative: sha256(expected).hexdigest()}}} + + +def test_matching_source_needs_no_restoration_or_refusal(tmp_path): + relative = "benchmarks/toy_audit/api_contract.py" + original = b"exact declared source\n" + source(tmp_path, relative, original) + assert model_source_blockers(tmp_path, task(relative, original)) == [] + assert frozen_restoration_source(tmp_path, relative, sha256(original).hexdigest()) == original + + +def test_unrelated_source_change_is_refused_without_becoming_a_restoration(tmp_path): + relative = "benchmarks/toy_audit/api_contract.py" + original, changed = b"original contract\n", b"new contract and capabilities\n" + path = source(tmp_path, relative, changed) + assert model_source_blockers(tmp_path, task(relative, original)) == [ + f"model source binding differs: {relative}"] + with pytest.raises(AssertionError, match=relative): + frozen_restoration_source(tmp_path, relative, sha256(original).hexdigest()) + assert path.read_bytes() == changed + + +def test_exact_rename_proof_still_returns_original_bytes_and_refuses_current(tmp_path): + relative = "benchmarks/toy_audit/api_model_ae.py" + original, changed = b"recipe = Recipe(**saved)\n", b"recipe = Recipe.from_dict(saved)\n" + path = source(tmp_path, relative, changed) + assert frozen_restoration_source(tmp_path, relative, sha256(original).hexdigest()) == original + assert model_source_blockers(tmp_path, task(relative, original)) == [ + f"model source binding differs: {relative}"] + assert path.read_bytes() == changed + + +def test_extra_change_cannot_hide_in_a_declared_restoration_module(tmp_path): + relative = "benchmarks/toy_audit/api_model_ae.py" + original = b"recipe = Recipe(**saved)\n" + changed = b"recipe = Recipe.from_dict(saved)\n# another scientific change\n" + source(tmp_path, relative, changed) + assert model_source_blockers(tmp_path, task(relative, original)) == [ + f"model source binding differs: {relative}"] + with pytest.raises(AssertionError, match=relative): + frozen_restoration_source(tmp_path, relative, sha256(original).hexdigest()) diff --git a/tests/test_recipe_prior_task_migration.py b/tests/test_recipe_prior_task_migration.py index 46e591d41..a7c63f7b5 100644 --- a/tests/test_recipe_prior_task_migration.py +++ b/tests/test_recipe_prior_task_migration.py @@ -3,6 +3,7 @@ import json from pathlib import Path import subprocess +from pr_integration_compat import before_pr_integration ROOT = Path(__file__).resolve().parents[1] @@ -19,7 +20,7 @@ def test_current_prior_questions_change_only_declared_ownership_and_source_bindi "--", "configs/forge/tasks"], cwd=ROOT, text=True).splitlines() for relative in paths: path = ROOT / relative - current = json.loads(path.read_text()) + current = before_pr_integration(ROOT, json.loads(path.read_text()), relative) original = json.loads(subprocess.check_output( ["git", "show", f"{BASELINE}:{relative}"], cwd=ROOT)) expected = deepcopy(original) diff --git a/tests/test_refresh_forge_readouts.py b/tests/test_refresh_forge_readouts.py index 29f946d16..8235bb3f0 100644 --- a/tests/test_refresh_forge_readouts.py +++ b/tests/test_refresh_forge_readouts.py @@ -331,7 +331,8 @@ def test_published_check_keeps_source_drift_separate_and_rejects_broken_original "status": "NEEDS_REFRESH", "scope": "current_source_measurements", "source_digest": "latest-source", "stale_stages": ["scaling_performance", "selected_family_readouts"], "stages": { - "queue": {"current": True}, "attempt_coverage": {"current": True}, + "queue": {"current": True}, "attempt_coverage": {"current": False}, + "retained_diagnostic_integrity": {"current": True}, "compiled_reports": {"current": broken_stage != "compiled_reports"}, "scaling_performance": {"current": False, "stale_source_cells": 48, "published_source_current": broken_stage != "scaling_performance"}, @@ -519,7 +520,7 @@ def test_check_attempt_coverage_flags_superseded_selected_records_and_ignores_sc ], }, ) - stale = rfr.check_attempt_coverage(tmp_path) + stale = rfr.check_retained_diagnostic_integrity(tmp_path) assert stale["current"] is False assert stale["superseded_record_count"] == 1 assert stale["missing_by_family"] == { @@ -566,7 +567,7 @@ def test_check_attempt_coverage_flags_superseded_selected_records_and_ignores_sc ], }, ) - fresh = rfr.check_attempt_coverage(tmp_path) + fresh = rfr.check_retained_diagnostic_integrity(tmp_path) assert fresh["current"] is True assert fresh["superseded_record_count"] == 0 assert fresh["missing_by_family"] == {} @@ -743,9 +744,9 @@ def test_live_repository_forge_readouts_are_current_and_source_clean(): assert report["stages"]["published_scaling_performance"]["missing_cells"] == 0 assert report["stages"]["published_scaling_performance"]["unavailable_cells"] == 0 assert report["stages"]["published_scaling_performance"]["table_cohorts"] == 1 - assert report["stages"]["attempt_coverage"]["pending"] == 0 - assert report["stages"]["attempt_coverage"]["superseded_record_count"] == 0 - assert report["stages"]["attempt_coverage"]["missing_by_family"] == {} + assert report["stages"]["retained_diagnostic_integrity"]["pending"] == 0 + assert report["stages"]["retained_diagnostic_integrity"]["superseded_record_count"] == 0 + assert report["stages"]["retained_diagnostic_integrity"]["missing_by_family"] == {} assert report["stages"]["registered_selected_publications"]["current"] is True assert report["stages"]["compiled_reports"]["unknown_performance_rows"] == 0 assert report["stages"]["compiled_reports"]["selected_diagnostic_rows_present"] is True @@ -1570,57 +1571,24 @@ def test_live_repository_forge_readouts_are_current_uncontended_and_surface_tier "| [E22](families/e22.md) | [`e22`]", ) - # Selected recipes table, Current-source Tier 1 readouts table, and Selected recipe breakdown by view - # must evaluate all 8 selected recipes formulaically as binary PASS/FAIL with zero 'not run' / third-option labels. - assert ( - "Every selected recipe is evaluated formulaically across Tier 1, Tier 2, Tier 3, and Tier 4 as binary PASS or FAIL" - in inv_md - ) - assert "Selected-recipe tables evaluate every test formulaically as binary PASS or FAIL" in inv_md - selected_block = inv_md.split("## Selected recipes\n", 1)[1].split("## Full-suite results", 1)[0] - selected_table_lines = "\n".join(line for line in selected_block.splitlines() if line.startswith("|")) - for forbidden in ( - "not run", - "incompatible", - "blocked", - "diagnostic attempt", - "Recorded source measurement · **stale**; no current qualification", - ): - assert forbidden not in selected_table_lines + # A current page preserves exact-cohort outcomes. Diagnostic backfill cannot + # turn a refusal into a numerical FAIL or transfer a PASS into another cohort. from reports.forge import regenerate_technique_inventory as rti - display = rti._formulaic_display_payload(publication, ROOT) - assert display is not None - # Keep separate frozen expectations for current-source measurements and - # exact selected-source coverage receipts; maintenance cannot pool them. - expected_selected_scores = ( - "**[24/27](families/k3p.md#cohort-cuda-1bf9d7d34422-tier-1)** · 9/12 tests (3 fail)", - "**[24/27](families/ka2.md#cohort-cuda-1bf9d7d34422-tier-1)** · 9/12 tests (3 fail)", - "**[25/27](families/release07-gan-v3.md#cohort-cuda-1bf9d7d34422-tier-1)** · 10/12 tests (2 fail)", - "**[25/27](families/r1r2.md#cohort-cuda-1bf9d7d34422-tier-1)** · 10/12 tests (2 fail)", - "**[17/27](families/e22.md#cohort-cuda-1bf9d7d34422-tier-1)** · 7/12 tests (5 fail)", - "**[59/115](families/e22.md#cohort-cuda-1bf9d7d34422)** · 14/36 tests (22 fail)", - ) - if display.get("scope") == "recorded_source_formulaic_display": - assert display["qualification_input"] is False and display["qualification_reuse"] is False - expected_selected_scores += ( - "**[23/27](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1)** · 8/12 tests (4 fail)", - "**[22/27](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1)** · 7/12 tests (5 fail)", - "**[18/27](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1)** · 8/12 tests (4 fail)", - "**[83/115](families/bispf.md#cohort-cuda-1bf9d7d34422)** · 20/36 tests (16 fail)", - "**[72/115](families/bcap-pure.md#cohort-cuda-1bf9d7d34422)** · 17/36 tests (19 fail)", - "**[67/115](families/atlas.md#cohort-cuda-bc3debd3fa5e)** · 17/36 tests (19 fail)", - ) - else: - expected_selected_scores += ( - "**[27/27](families/bispf.md#cohort-cuda-1bf9d7d34422-tier-1)** · 12/12 tests", - "**[27/27](families/bcap-pure.md#cohort-cuda-1bf9d7d34422-tier-1)** · 12/12 tests", - "**[27/27](families/atlas.md#cohort-cuda-bc3debd3fa5e-tier-1)** · 12/12 tests", - "**[109/115](families/bispf.md#cohort-cuda-1bf9d7d34422)** · 31/36 tests (5 fail)", - "**[105/115](families/bcap-pure.md#cohort-cuda-1bf9d7d34422)** · 30/36 tests (6 fail)", - "**[99/115](families/atlas.md#cohort-cuda-bc3debd3fa5e)** · 29/36 tests (7 fail)", - ) - for expected_selected_score in expected_selected_scores: - assert expected_selected_score in selected_table_lines + from experiments.forge.publication_integrity import coverage_disposition + assert "binary PASS or FAIL" not in inv_md + assert "Scientific scope corrections" in inv_md + original_cohorts = {family["id"]: cohort for family, cohort in + _selected_cohorts(publication["family_progress"])} + projected = rti._project_publication_for_family_pages(ROOT, publication) + projected_cohorts = {family["id"]: cohort for family, cohort in + _selected_cohorts(projected["family_progress"])} + for family, original_cohort in original_cohorts.items(): + for task, original in original_cohort["tasks"].items(): + cell = projected_cohorts[family]["tasks"][task] + assert cell["status"] == original["status"] + assert cell["current_contract"] == original["current_contract"] + assert cell.get("run_attempt") == original.get("run_attempt") + assert projected_cohorts[family]["total"] == original_cohort["total"] tier1_readouts_block = rti._current_source_tier1_readouts_markdown( publication, ROOT, ROOT / "reports/forge/technique-inventory.md") @@ -1628,146 +1596,56 @@ def test_live_repository_forge_readouts_are_current_uncontended_and_surface_tier assert tier1_readouts_block in inv_md for expected_snippet in current_source_candidate_snippets: assert expected_snippet in tier1_readouts_block - for forbidden in ("not run", "incompatible", "blocked", "preflight-blocked"): - assert forbidden not in tier1_readouts_block - assert "| Required Tier 1 (11) | Stretch / diagnostic Tier 1 (4) | Total Tier 1 (15) |" in tier1_readouts_block + assert "ordinary Tier 1 readouts" in tier1_readouts_block + assert "Tier 2 (" not in tier1_readouts_block else: assert "### Current-source selected-recipe Tier 1 readouts" not in inv_md - assert status["current_source_measurements"]["stages"]["selected_family_readouts"]["missing_families"] - - view_breakdown_block = inv_md.split("Selected recipe breakdown by view", 1)[1].split("
", 1)[0] - # New stretch cells can be unmeasured without changing required-tier - # evidence. Check the required columns independently of the stretch column. - required_columns = "\n".join(" | ".join(line.split(" | ")[:7]) - for line in view_breakdown_block.splitlines() if line.startswith("| [")) - for forbidden in ("not run", "incompatible", "blocked", "diagnostic attempt"): - assert forbidden not in required_columns - - full_suite_block = inv_md.split("## Full-suite results — failures included\n", 1)[1].split( - "## Held and removed tests", 1 - )[0] - for selected_row_prefix in ( - "| [BISPF](families/bispf.md) |", - "| [K3P](families/k3p.md) |", - "| [KA2](families/ka2.md) |", - "| [BCAP](families/bcap-pure.md)", - "| [GAN v3 release 0.7](families/release07-gan-v3.md) |", - "| [Atlas](families/atlas.md) |", - "| [R1/R2](families/r1r2.md) |", - "| [E22](families/e22.md) |", - ): - row_line = next(line for line in full_suite_block.splitlines() if line.startswith(selected_row_prefix)) - assert "not run" not in row_line - assert "| 2 | 0 |" in row_line - - # Verify certified PASS/FAIL for the original suite and the ten measured - # GAN stretch tasks. New precision tasks have no archived measurements. - from experiments.forge.views import load_view + # All archived observations remain available unchanged, including assisted + # passes. A source-bound correction removes their claim eligibility, never + # rewrites their original numerical outcome or cost. cov_doc = read_json(ROOT / "reports/forge/attempt-coverage.json") - full_suite_doc = read_json(ROOT / "configs/forge/leaderboards/technique-inventory-full-suite-2026-10-25.json") - view = load_view(ROOT, "discriminator_stability") - stretch_tasks = { - a["task"] - for a in view["assignments"] - if a["importance"] == "stretch" and not a["task"].startswith("precision_gaussian_") - } - suite_50 = set(full_suite_doc["tests"]) | {"ring_hold"} | stretch_tasks - expected_per_family = len(suite_50) - assert expected_per_family == 60 - selected_fams = {"atlas", "bcap-pure", "bispf", "e22", "k3p", "ka2", "r1r2", "release07-gan-v3"} - unscoped_selected_records = [ - rec - for rec in cov_doc.get("records", []) - if rec.get("family") in selected_fams and not rfr._is_scoped_attempt(rec) - ] - assert len(unscoped_selected_records) == 8 * expected_per_family - cov_by_fam_task = { - (rec.get("family"), rec.get("task")): rec - for rec in unscoped_selected_records - } - assert len(cov_by_fam_task) == 8 * expected_per_family - projected = rti._project_publication_for_family_pages(ROOT, publication) - projected_cohorts = {family["id"]: cohort for family, cohort in - _selected_cohorts(projected["family_progress"])} - archived_display = projected.get("recorded_formulaic_display") - if archived_display: - assert archived_display["qualification_input"] is False - assert archived_display["qualification_reuse"] is False - att_cov_md = (ROOT / "reports/forge/ATTEMPT_COVERAGE.md").read_text() - for fam in sorted(selected_fams): - assert f"| {fam} | {expected_per_family}/{expected_per_family} | 0 |" in att_cov_md - fam_line = next(line for line in att_cov_md.splitlines() if line.startswith(f"| {fam} |")) - assert "BLOCKED" not in fam_line - for tid in sorted(suite_50): - rec = cov_by_fam_task.get((fam, tid)) - assert rec is not None, f"missing attempt-coverage record for ({fam}, {tid})" - assert rec.get("attempted") is True - assert rec.get("status") in {"PASS", "FAIL"}, f"non-binary status for ({fam}, {tid}): {rec.get('status')}" - if (archived_display and archived_display.get("scope") == "recorded_source_formulaic_display" - and tid in projected_cohorts[fam]["tasks"]): - cell = projected_cohorts[fam]["tasks"][tid] - proof = cell["recorded_formulaic_display"] - assert cell["status"] == rec["status"] - for key in ("key", "candidate_id", "candidate_revision", "source_digest", - "execution_sha256", "evaluation_sha256"): - assert proof[key] == rec[key], (fam, tid, key) - original_cohort = next(cohort for family, cohort in - _selected_cohorts(publication["family_progress"]) if family["id"] == fam) - assert cell["current_contract"] == original_cohort["tasks"][tid]["current_contract"] - - for fam_page_name in ( - "atlas.md", - "bcap-pure.md", - "bcap-dualnorm.md", - "bispf.md", - "e22.md", - "k3p.md", - "ka2.md", - "r1r2.md", - "release07-gan-v3.md", - ): - fam_md = (ROOT / "reports/forge/families" / fam_page_name).read_text() + coverage_before = deepcopy(cov_doc) + corrected = 0 + for rec in cov_doc["records"]: + disposition = coverage_disposition(ROOT, rec) + if disposition: + corrected += 1 + assert disposition["eligible"] is False + assert disposition["scope"] == "archived_contract_diagnostic" + assert corrected > 0 + assert cov_doc == coverage_before + + from experiments.forge.family_reports import full_suite_tasks + required_tasks = set(full_suite_tasks(publication["family_progress"])) + for family_id, original_cohort in original_cohorts.items(): + family = selected[family_id][0] + fam_md = (ROOT / family["page"]).read_text() view_table_header = ( "| View | Tier 1 tests | Tier 2 tests | Tier 3 tests | Tier 4 tests | Total distinct tests | Held (measured, not counted) |" ) - current_bench = ( - view_table_header - + fam_md.split(view_table_header, 1)[1] - .split("\n## adaptation\n", 1)[0] - ) - new_tasks = {"precision_gaussian_mxfp8", "precision_gaussian_nvfp4"} - for task_id in new_tasks: - new_row = next(line for line in current_bench.splitlines() if line.startswith(f"| [{task_id}]")) - assert "| UNKNOWN |" in new_row - current_bench_tables = "\n".join( - line for line in current_bench.splitlines() - if line.startswith("|") and not any(line.startswith(f"| [{task_id}]") for task_id in new_tasks) - ) - for forbidden_in_selected_cohort in ( - "| UNKNOWN |", - "diagnostic attempt", - "not run)", - "blocked)", - ): - assert forbidden_in_selected_cohort not in current_bench_tables, ( - fam_page_name, - forbidden_in_selected_cohort, - ) - if tier1_readouts_block: - assert "recorded definition unavailable" not in current_bench_tables - for forbidden_in_selected_prose in ( - "native model variants require an explicit profile", - "only zero_tanh_smoke is routed", - "unsupported vector target declaration", - "no compatible result", - "DDGAN caller-owned transition host", - "Run attempt: **BLOCKED**", - ): - assert forbidden_in_selected_prose not in current_bench, ( - fam_page_name, - forbidden_in_selected_prose, - ) + current_bench = fam_md.split(view_table_header, 1)[1].split("\n## adaptation\n", 1)[0] + seen = set() + status_index = None + for line in current_bench.splitlines(): + if line.startswith("| ") and not line.startswith(("| [", "| ---")): + headers = [cell.strip() for cell in line.split("|")[1:-1]] + status_index = headers.index("Recorded result") if "Recorded result" in headers else None + if not line.startswith("| ["): + continue + task_id = line.split("](", 1)[0].removeprefix("| [") + if task_id not in original_cohort["tasks"]: + continue + cells = [cell.strip() for cell in line.split("|")[1:-1]] + assert status_index is not None and len(cells) > status_index + assert cells[status_index] == original_cohort["tasks"][task_id]["status"], (family_id, task_id, line) + seen.add(task_id) + # Gaps and operational outcomes must remain visible, never filled with + # diagnostic grades to satisfy an all-binary/no-unknown display rule. + assert required_tasks <= seen, (family_id, sorted(required_tasks - seen)) + for task_id in ("precision_gaussian_mxfp8", "precision_gaussian_nvfp4"): + assert original_cohort["tasks"][task_id]["status"] == "UNKNOWN" + assert task_id in seen @@ -1776,6 +1654,11 @@ def test_recorded_overview_integrity_rejects_score_drift_without_current_source( from reports.forge import regenerate_technique_inventory as rti publication = read_json(ROOT / "reports/forge/technique-inventory.json") + # Renderer-only fixture uses the inspected reducer; no saved source pin or + # scientific qualification is edited to make a maintenance branch current. + from experiments.forge.contracts import file_hash + publication["provenance"]["publication_reducer_sha256"] = file_hash( + ROOT / "reports/forge/regenerate_technique_inventory.py") monkeypatch.setattr(rti, "_concluded_current_source_tier1_payload", lambda *args: None) monkeypatch.setattr(family_reports, "generated_pages", lambda root, pub: {}) overview = ROOT / "reports/forge/technique-inventory.md" @@ -1783,9 +1666,9 @@ def test_recorded_overview_integrity_rejects_score_drift_without_current_source( assert "### Current-source selected-recipe Tier 1 readouts" not in original assert rfr._generated_pages_synced(ROOT, publication, original) is True import re - score = re.search(r"\*\*\[(\d+)/(\d+)\]", original) + score = re.search(r"\*\*\[(\d+)([^/\]]*)/(\d+)\]", original) assert score is not None - changed_score = f"**[{int(score.group(1)) + 1}/{score.group(2)}]" + changed_score = f"**[{int(score.group(1)) + 1}{score.group(2)}/{score.group(3)}]" corrupted = original[:score.start()] + changed_score + original[score.end():] assert corrupted != original assert rfr._generated_pages_synced(ROOT, publication, corrupted) is False @@ -2249,8 +2132,8 @@ def test_current_source_tier1_readouts_ignores_non_tier1_records_and_invalidates ) assert "1 preflight-blocked, 1 blocked" in md2 - # Once all remaining runnable selected families are also re-stamped (so 0 tasks are UNMEASURED), - # dependency-blocked ('BLOCKED') and preflight-blocked tasks evaluate to binary FAIL. + # Even after all synthetic runnable families have matching records, + # preflight and dependency blockers retain their operational statuses. selected_cids = {c["candidate_id"] for c in rfr.current_family_candidates(wt)} for rec_p in sorted((wt / "reports/forge/records").glob("readout-*.json")): if rec_p.name == "readout-tier2-only.json": @@ -2293,7 +2176,8 @@ def test_current_source_tier1_readouts_ignores_non_tier1_records_and_invalidates live_inv, wt, wt / "reports/forge/technique-inventory.md" ) assert "| Required Tier 1 (11) | Diagnostic Tier 1 (1) | Total Tier 1 (12) |" in md3 - assert "preflight-blocked" not in md3 and " blocked" not in md3 + assert "1 preflight-blocked, 1 blocked" in md3 + assert "binary PASS or FAIL" not in md3 finally: subprocess.run( ["git", "-C", str(ROOT), "worktree", "remove", "--force", str(wt)], @@ -2414,6 +2298,21 @@ def test_clean_cpu_ci_and_non_a6000_hosts_match_committed_readouts_and_invalidat # The following task/runtime tamper controls use their exact recorded # source cohort, independently of the latest checkout tested above. recorded_digest = _restore_recorded_source_cohort(wt) + # The complete old view remains incomplete: Atlas has no compatible + # ordinary Tier 2 observations. Diagnostic coverage must not fill those + # gaps. Scope the software controls below to the retained Tier 1 rows, + # rather than inventing later-tier measurements or qualification. + full_view_status = rfr.check_selected_family_readouts(wt) + assert full_view_status["current"] is False + atlas_gap, = full_view_status["missing_families"] + assert atlas_gap["family"] == "atlas" + assert atlas_gap["unmeasured_tier1"] == [] + assert atlas_gap["unmeasured_tier2"] + view_path = wt / "configs/forge/views/discriminator_stability.json" + software_view = read_json(view_path) + software_view["assignments"] = [item for item in software_view["assignments"] + if int(item["qualification_tier"]) == 1] + atomic_json(view_path, software_view) rti._CURRENT_SOURCE_TIER1_CACHE.clear() probed_req = planning.resolve_idea( wt, "atlas-particle-normal-v4", view_id="discriminator_stability", through_tier=1, @@ -2434,7 +2333,10 @@ def test_clean_cpu_ci_and_non_a6000_hosts_match_committed_readouts_and_invalidat atlas_rec = read_json(atlas_rec_path) for row in atlas_rec["task_results"]: assert not (wt / "reports/forge/attempts" / row["_attempt_id"]).exists() - assert row["compatibility_key"] != probed_compat[row["task_id"]] + # Out-of-scope historical rows remain present, without supplying + # measurements to this Tier 1 software compatibility control. + if row["task_id"] in probed_compat: + assert row["compatibility_key"] != probed_compat[row["task_id"]] overview_path.write_text(rti._current_markdown(wt_inv, wt, overview_path)) assert rfr.check_selected_family_readouts(wt)["current"] is True @@ -2737,46 +2639,8 @@ def _fake_ensure(root: Path, attempt_state_root: Path, gpus: list[str], *, json_ ) ] - # Verify _run_grid100_deep_variant runs with each candidate's real recipe (not stripped MoG) - import experiments.forge.api as forge_api - - captured_recipes = {} - orig_task_formulation_context = forge_api.task_formulation_context - - def _wrapped_task_formulation_context(*args, **kwargs): - ctx = orig_task_formulation_context(*args, **kwargs) - captured_recipes["prior_kind"] = ctx.recipe.prior_kind - captured_recipes["lr_control"] = ctx.recipe.lr_control - captured_recipes["particle_birth_death"] = ctx.recipe.particle_birth_death - captured_recipes["serve_average"] = ctx.recipe.serve_average - captured_recipes["birth_death_cells"] = ctx.recipe.birth_death_cells - captured_recipes["reopen_guard"] = ctx.recipe.reopen_guard - raise RuntimeError("stop_after_recipe_capture") - - monkeypatch.setattr(forge_api, "task_formulation_context", _wrapped_task_formulation_context) - tasks = fc.load_tasks(ROOT) - for cid, expected_cells, expected_reopen in ( - ("atlas-particle-normal-v4", 256, "settled"), - ("e22", 64, None), - ): - captured_recipes.clear() - cand = fc.adapt_candidate_for_task(fc.load_candidate_card(ROOT, cid), tasks["grid100_mlp16"]) - with pytest.raises(RuntimeError, match="stop_after_recipe_capture"): - fc._run_grid100_deep_variant(ROOT, cand, tasks["grid100_mlp16"], "cpu") - assert captured_recipes["prior_kind"] == "particles" - assert captured_recipes["lr_control"] == "stationarity" - assert captured_recipes["particle_birth_death"] is True - assert captured_recipes["serve_average"] == 4.0 - assert captured_recipes["birth_death_cells"] == expected_cells - assert captured_recipes["reopen_guard"] == expected_reopen - - - - - - - - - - - + # Coverage refresh cannot use the old unregistered path to change a recipe. + for cid in ("atlas-particle-normal-v4", "e22"): + card = fc.load_candidate_card(ROOT, cid) + for task in ({"id": "grid100_mlp16"}, {"id": "model_ddgan_gaussian_chain"}): + assert fc.adapt_candidate_for_task(card, task) == card diff --git a/tests/test_refresh_measurement_integrity.py b/tests/test_refresh_measurement_integrity.py new file mode 100644 index 000000000..c30612fa1 --- /dev/null +++ b/tests/test_refresh_measurement_integrity.py @@ -0,0 +1,286 @@ +"""Current measurements and retained diagnostic integrity are distinct claims.""" +from copy import deepcopy +from pathlib import Path +from types import SimpleNamespace + +import pytest + +from experiments.forge import api +from experiments.forge import views +from experiments.forge.contracts import atomic_json, file_hash, read_json, stable_hash +from experiments.forge.publication_integrity import CORRECTIONS, IDENTITY_FIELDS, load_corrections +from experiments.forge.sampling import validate_declaration +from ops import refresh_forge_readouts as refresh +from particlegan import get_recipe + +ROOT = Path(__file__).resolve().parents[1] +COVERAGE = Path("reports/forge/attempt-coverage.json") + + +@pytest.fixture +def current_cell(tmp_path, monkeypatch): + task = read_json(ROOT / "configs/forge/tasks/gaussian1d_smoke.json") + recipe = get_recipe().to_dict() + runtime = {"python": "test-python", "packages": {"torch": "test-torch"}} + compute = {"backend": "cpu", "threads": 1, "model": "test-cpu"} + candidate, revision, source = "candidate", "a" * 64, "b" * 64 + protocol = {"seed": 0} + science = {"runtime": runtime, "compute": compute, "protocol": protocol, "seed": 0, + "task_initializers": {task["id"]: task["execution"]["initializer"]}} + job = {"task_id": task["id"], "science": science, "compatibility_key": stable_hash(science)} + request = {"candidate": {"id": candidate}, "candidate_revision": revision, + "source": {"digest": source}, "runtime": runtime, "protocol": protocol, + "tasks": {task["id"]: task}, "jobs": [job]} + sampling = validate_declaration(task, required=True) + sampling["scoring_weights"] = task["evaluation"].get("scoring_weights", "live") + record = {"family": "family", "candidate_id": candidate, "candidate_revision": revision, + "source_digest": source, "task": task["id"], "attempted": True, "status": "FAIL", + "diagnostic": False, "execution_sha256": refresh.task_execution_fingerprint(task), + "evaluation_sha256": refresh.task_evaluation_fingerprint(task), "runtime": runtime, + "observed_contract": {"schema_version": 1, "resolved_recipe": recipe, + "runtime": runtime, "compute": compute, "sampling": sampling, + "protocol": protocol, "initializer": task["execution"]["initializer"], + "execution": task["execution"], "evaluation": task["evaluation"]}} + record["key"] = stable_hash([record[field] for field in IDENTITY_FIELDS]) + monkeypatch.setattr(refresh, "current_family_candidates", lambda root: [ + {"family": "family", "candidate_id": candidate}]) + from reports.forge import regenerate_technique_inventory as inventory + monkeypatch.setattr(inventory, "_resolve_idea_for_readout_check", lambda *args, **kwargs: request) + monkeypatch.setattr(api, "task_formulation_context", lambda *args, **kwargs: + SimpleNamespace(recipe=SimpleNamespace(to_dict=lambda: recipe))) + # This fixture tests receipt consumption, not the Gaussian scientific gate. + # The producer grade is independently called; missing/full-budget evidence + # and grades are varied below without executing a scientific experiment. + monkeypatch.setattr(views, "grade_result", lambda task, raw, **kwargs: + {"status": "FAIL" if raw.get("evidence", {}).get("completed_steps") == 1000 + else "INCOMPLETE"}) + producer = {"schema_version": 1, "attempt_id": "producer", "candidate_revision": revision, + "task_results": [{"task_id": task["id"], "compatibility_key": job["compatibility_key"], + "gate_status": "FAIL", "raw_status": "completed", + "observed_contract": deepcopy(record["observed_contract"])}], + "raw": {"attempt_status": "completed", "result": {"evidence": {"completed_steps": 1000}, + "recipe": recipe, "initializer": task["execution"]["initializer"], "rng": {"seed": 0}}}} + directory = tmp_path / "reports/forge/attempts/producer" + atomic_json(directory / "request.json", {"request": request}) + atomic_json(directory / "result.json", producer) + atomic_json(directory / "evidence.json", {"result_hash": stable_hash(producer), + "source": request["source"], "runtime": runtime}) + record["producer"] = {"attempt_id": "producer", "result_hash": stable_hash(producer)} + + def save(value): + atomic_json(tmp_path / COVERAGE, {"summary": {"pending": 0, "running": 0}, "records": [value]}) + save(record) + return tmp_path, record, save + + +def test_correctly_measured_formula_failure_is_complete_evidence(current_cell): + root, _, _ = current_cell + report = refresh.check_attempt_coverage(root) + assert report["current"] is True + assert report["faithful_measured_cells"] == 1 + assert report["missing_by_family"] == {} + + +def test_faithful_current_diagnostic_measures_the_formula_without_qualification_credit(current_cell): + root, original, save = current_cell + save({**original, "diagnostic": True}) + report = refresh.check_attempt_coverage(root) + assert report["current"] is True + assert report["qualification_reuse"] is False + + +def test_unmeasured_optional_precision_stays_visible_without_blocking_required_completion(current_cell): + root, _, _ = current_cell + from reports.forge import regenerate_technique_inventory as inventory + request = inventory._resolve_idea_for_readout_check() + task = deepcopy(next(iter(request["tasks"].values()))) + task["id"] = "optional-precision" + task["execution"]["linear_precision"] = {"format": "nvfp4"} + request["tasks"][task["id"]] = task + request["view"] = {"assignments": [{"task": task["id"], "importance": "stretch"}]} + report = refresh.check_attempt_coverage(root) + assert report["current"] is True + assert report["optional_precision_tasks"] == ["optional-precision"] + + +@pytest.mark.parametrize("missing", ["resolved_recipe", "sampling", "runtime", "compute", "protocol", + "initializer", "execution", "evaluation"]) +def test_declared_identity_cannot_replace_missing_observed_witnesses(current_cell, missing): + root, original, save = current_cell + record = deepcopy(original) + del record["observed_contract"][missing] + save(record) + report = refresh.check_attempt_coverage(root) + assert report["current"] is False + assert report["faithful_measured_cells"] == 0 + assert report["gap_examples"] + + +@pytest.mark.parametrize("field,value", [("initializer", "supplied"), ("protocol", {"seed": 1})]) +def test_other_initialization_or_seed_cannot_satisfy_current_contract(current_cell, field, value): + root, original, save = current_cell + record = deepcopy(original) + record["observed_contract"][field] = value + save(record) + report = refresh.check_attempt_coverage(root) + assert report["current"] is False + assert report["faithful_measured_cells"] == 0 + + +def test_missing_or_mutated_producer_does_not_certify_displayed_failure(current_cell): + root, original, save = current_cell + save({key: value for key, value in original.items() if key != "producer"}) + assert refresh.check_attempt_coverage(root)["invalid_record_counts"]["missing_or_invalid_producer_receipt"] == 1 + save(original) + result_path = root / "reports/forge/attempts/producer/result.json" + result = read_json(result_path) + result["task_results"][0]["gate_status"] = "PASS" + atomic_json(result_path, result) + assert refresh.check_attempt_coverage(root)["invalid_record_counts"]["invalid_producer_certificate"] == 1 + + +def test_certified_display_label_cannot_replace_full_budget_producer_grade(current_cell): + root, original, save = current_cell + directory = root / "reports/forge/attempts/producer" + result = read_json(directory / "result.json") + result["raw"]["result"]["evidence"]["completed_steps"] = 500 + atomic_json(directory / "result.json", result) + certificate = read_json(directory / "evidence.json") + certificate["result_hash"] = stable_hash(result) + atomic_json(directory / "evidence.json", certificate) + record = deepcopy(original) + record["producer"]["result_hash"] = stable_hash(result) + save(record) + report = refresh.check_attempt_coverage(root) + assert report["current"] is False + assert report["invalid_record_counts"]["producer_grade_mismatch_or_incomplete"] == 1 + + +def test_producer_actual_applied_recipe_cannot_be_replaced_by_a_matching_witness(current_cell): + root, original, save = current_cell + directory = root / "reports/forge/attempts/producer" + result = read_json(directory / "result.json") + result["raw"]["result"]["recipe"]["lr"] *= 2 + atomic_json(directory / "result.json", result) + certificate = read_json(directory / "evidence.json") + certificate["result_hash"] = stable_hash(result) + atomic_json(directory / "evidence.json", certificate) + record = deepcopy(original) + record["producer"]["result_hash"] = stable_hash(result) + save(record) + report = refresh.check_attempt_coverage(root) + assert report["current"] is False + assert report["invalid_record_counts"]["producer_applied_contract_mismatch_or_missing"] == 1 + + +def test_frozen_independent_grading_certificate_must_bind_raw_evidence(current_cell): + root, original, save = current_cell + directory = root / "reports/forge/attempts/producer" + frozen = read_json(directory / "request.json") + frozen["request"]["requires_independent_grading"] = True + atomic_json(directory / "request.json", frozen) + result = read_json(directory / "result.json") + result["raw"]["grading"] = {"source_digest": original["source_digest"], "raw_hash": "stale", + "grades": {original["task"]: {"status": "FAIL"}}} + atomic_json(directory / "result.json", result) + certificate = read_json(directory / "evidence.json") + certificate["result_hash"] = stable_hash(result) + atomic_json(directory / "evidence.json", certificate) + record = deepcopy(original) + record["producer"]["result_hash"] = stable_hash(result) + save(record) + assert refresh.check_attempt_coverage(root)["invalid_record_counts"]["invalid_producer_grading_certificate"] == 1 + result["raw"]["grading"]["raw_hash"] = stable_hash(result["raw"]["result"]) + atomic_json(directory / "result.json", result) + certificate["result_hash"] = stable_hash(result) + atomic_json(directory / "evidence.json", certificate) + record["producer"]["result_hash"] = stable_hash(result) + save(record) + assert refresh.check_attempt_coverage(root)["current"] is True + + +@pytest.mark.parametrize("field", ["source_digest", "candidate_revision", "execution_sha256", "evaluation_sha256"]) +def test_current_completion_rejects_stale_scientific_bindings(current_cell, field): + root, original, save = current_cell + record = {**original, field: "f" * 64} + record["key"] = stable_hash([record[name] for name in IDENTITY_FIELDS]) + save(record) + report = refresh.check_attempt_coverage(root) + assert report["current"] is False + assert report["invalid_record_counts"][field + "_mismatch"] == 1 + + +def test_recipe_substitution_and_ema_sampling_do_not_satisfy_live_formula(current_cell): + root, original, save = current_cell + for field in ("resolved_recipe", "sampling"): + record = deepcopy(original) + if field == "resolved_recipe": + record["observed_contract"][field]["lr"] *= 2 + else: + record["observed_contract"][field]["scoring_weights"] = "ema" + save(record) + assert refresh.check_attempt_coverage(root)["current"] is False + + +def test_scope_corrected_archived_pass_does_not_satisfy_measurement_completion(current_cell): + root, _, save = current_cell + path = root / CORRECTIONS + path.parent.mkdir(parents=True, exist_ok=True) + path.write_bytes((ROOT / CORRECTIONS).read_bytes()) + keys = load_corrections(ROOT) + record = next(row for row in read_json(ROOT / COVERAGE)["records"] + if row["key"] in keys and row["status"] == "PASS") + record = deepcopy(record) + # Preserve exact original bytes/identity, even though the requested family + # has a different current candidate and source. + save(record) + errors = refresh._coverage_observation_errors(root, record, + {"candidate": {"id": record["candidate_id"]}, "candidate_revision": record["candidate_revision"], + "source": {"digest": record["source_digest"]}}, + read_json(ROOT / "configs/forge/tasks" / (record["task"] + ".json")), {}) + assert "corrected_archived_diagnostic" in errors + assert record["status"] == "PASS" + + +def test_published_scope_can_be_intact_while_current_measurements_are_missing(monkeypatch, tmp_path): + strict = {"status": "NEEDS_REFRESH", "source_digest": "latest", "stale_stages": ["attempt_coverage"], + "stages": {"queue": {"current": True}, "compiled_reports": {"current": True}, + "attempt_coverage": {"current": False, "faithful_measured_cells": 0}, + "retained_diagnostic_integrity": {"current": True, "scope": "retained_diagnostic_integrity"}, + "scaling_performance": {"current": False, "published_source_current": True}}} + monkeypatch.setattr(refresh, "check_status", lambda *args, **kwargs: strict) + monkeypatch.setattr(refresh, "_registered_evidence_satisfies_selection", lambda root: True) + report = refresh.check_published_status(tmp_path) + assert report["status"] == "CURRENT" + assert report["current_source_measurements"]["status"] == "NEEDS_REFRESH" + assert report["stages"]["retained_diagnostic_integrity"]["current"] is True + assert "attempt_coverage" not in report["stages"] + assert report["qualification_reuse"] is False + + +def test_compiled_guard_accepts_real_blockers_but_rejects_a_changed_headline(tmp_path, monkeypatch): + from reports.forge import regenerate_technique_inventory as inventory + monkeypatch.setattr(refresh.knowledge, "freshness", lambda root: {"fresh": True}) + monkeypatch.setattr(refresh.history, "validate_inventory", lambda root: {"valid": True}) + monkeypatch.setattr(refresh, "current_family_candidates", lambda root: []) + monkeypatch.setattr(refresh, "_validate_publication_registration_sync", lambda *args: True) + monkeypatch.setattr(refresh, "_expected_selected_diagnostic_phrases", lambda *args: []) + monkeypatch.setattr(refresh, "_attempt_coverage_markdown_synced", lambda *args: True) + monkeypatch.setattr(refresh, "_generated_pages_synced", lambda *args: True) + expected = (refresh.scaling_publication.START + "\n" + refresh.scaling_publication.END + + "\nBlocked formula support: BLOCKED\n**0/0 distinct recipe/test pairs attempted (selected and research)**\n" + "python ops/refresh_forge_readouts.py --check\npython ops/refresh_forge_readouts.py --reports-only\n") + monkeypatch.setattr(inventory, "_current_markdown", lambda *args: expected) + atomic_json(tmp_path / "reports/forge/compilation.json", {"pending_readout": [], "input_hashes": {}}) + perf = tmp_path / "reports/forge/scaling-performance.json" + atomic_json(perf, {}) + atomic_json(tmp_path / "reports/forge/technique-inventory.json", { + "family_progress": {"families": []}, "scaling_performance": {"manifest_sha256": file_hash(perf)}}) + atomic_json(tmp_path / COVERAGE, {"summary": {"attempted": 0, "total": 0}}) + page = tmp_path / "reports/forge/technique-inventory.md" + page.write_text(expected) + assert refresh.check_compiled_reports(tmp_path)["current"] is True + page.write_text(expected.replace("BLOCKED", "FAIL")) + report = refresh.check_compiled_reports(tmp_path) + assert report["current"] is False + assert report["current_source_tier1_synced"] is False diff --git a/tests/test_reviewed_model_integration.py b/tests/test_reviewed_model_integration.py new file mode 100644 index 000000000..855828dec --- /dev/null +++ b/tests/test_reviewed_model_integration.py @@ -0,0 +1,73 @@ +"""Merged optional objectives must execute on their declared caller or refuse.""" +from importlib import import_module + +import pytest +import torch + +from benchmarks.toy_audit import api_contract + + +MASKED = ("masked_mixture_weight", "masked_transport_weight", "imputer_component_weight") +UNSUPPORTED = ( + [("api_model_misgan", field) for field in ("conditional_energy_weight", "joint_reconstruction_weight")] + + [("api_model_vae", field) for field in ("conditional_energy_weight", "joint_reconstruction_weight", *MASKED)] + + [("api_model_ddgan", field) for field in ("joint_reconstruction_weight", *MASKED)] + + [("api_model_ae", field) for field in ("conditional_energy_weight", "joint_reconstruction_weight", *MASKED)] +) + + +@pytest.mark.parametrize("provider,field", UNSUPPORTED) +def test_direct_model_provider_refuses_unconsumed_objective_before_construction(provider, field): + module = import_module("benchmarks.toy_audit." + provider) + case = module.list_cases()[0] + recipe = module.task_recipe(case).replace(**{field: 1.}) + before = torch.get_rng_state().clone() + with pytest.raises(api_contract.UnsupportedRecipeOverrides, match="component consumer|word joint consumer"): + module.task_recipe(case, recipe=recipe) + with pytest.raises(api_contract.UnsupportedRecipeOverrides, match="component consumer|word joint consumer"): + module.build_case(case["id"], recipe=recipe, max_steps=1) + assert torch.equal(torch.get_rng_state(), before) + + +@pytest.mark.parametrize("provider,field", [ + *UNSUPPORTED, +]) +def test_public_build_rejects_unconsumed_injection_before_calling_provider(monkeypatch, provider, field): + module = import_module("benchmarks.toy_audit." + provider) + case = dict(module.list_cases()[0], provider=provider) + recipe = module.task_recipe(case).replace(**{field: 1.}) + + def forbidden(*args, **kwargs): + raise AssertionError("unsupported recipe reached provider construction") + + monkeypatch.setattr(module, "build_case", forbidden) + with pytest.raises(api_contract.UnsupportedRecipeOverrides, match="component consumer|word joint consumer"): + api_contract.build(case, recipe=recipe, max_steps=1) + + +@pytest.mark.parametrize("provider,overrides", [ + ("api_model_ddgan", {"conditional_energy_weight": 1.}), + ("api_model_misgan", {field: 1. for field in MASKED}), + ("api_model_vae", {"kinetic_transport_weight": .2, "kinetic_transport_local_weight": .3}), +]) +def test_supported_model_objectives_keep_the_exact_recipe(provider, overrides): + module = import_module("benchmarks.toy_audit." + provider) + case = dict(module.list_cases()[0], provider=provider) + recipe = module.task_recipe(case).replace(**overrides) + fixture = api_contract.build(case, recipe=recipe, max_steps=1) + assert fixture.recipe.to_dict() == recipe.to_dict() + assert fixture.completed_steps == 0 + + +def test_word_joint_consumer_keeps_its_declared_objective(monkeypatch): + from benchmarks.toy_audit import api_images + case = next(dict(case, provider="api_images") for case in api_images.list_cases() if case["kind"] == "word") + # The provider returns a fixture carrying the actual resolved word recipe; + # keep this guard test independent of the word model's large constructor. + from particlegan import Recipe + from types import SimpleNamespace + recipe = Recipe.from_dict(dict(joint_reconstruction_weight=1.)) + fixture = SimpleNamespace(recipe=recipe, api_components=("Recipe.joint_reconstruction_loss",), + step=lambda: None, observe=lambda: None, state_dict=lambda: {}) + monkeypatch.setattr(api_images, "build_case", lambda *args, **kwargs: fixture) + assert api_contract.build(case, max_steps=1) is fixture diff --git a/tests/test_solvability_bigan.py b/tests/test_solvability_bigan.py index f937b735c..8ef850036 100644 --- a/tests/test_solvability_bigan.py +++ b/tests/test_solvability_bigan.py @@ -19,14 +19,9 @@ from torch import nn import torch.nn.functional as F -from particlegan import ( - ManipulatedPrior, - NormalNoiseManipulator, - ParticlePrior, - get_recipe, - init, - unwrap_prior, -) +from particlegan import unwrap_prior +from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides +from tests.bigan_software_cohort import build_fixture from benchmarks.toy_audit.api_ring16 import ( ALICESpiralBiGANFixture, BiGANEncoder, @@ -472,17 +467,13 @@ def test_level3_destructive_negative_controls_alice_spiral(): @pytest.mark.parametrize("fixture_cls", [Ring16BiGANFixture, ALICESpiralBiGANFixture]) @pytest.mark.parametrize("recipe_name", ["bispf", "atlas", "bcap", "k3p", "ka2"]) def test_bigan_and_alice_multi_family_trainer_and_prior_updates(fixture_cls, recipe_name): - """Verify both BiGAN fixtures execute 4 steps cleanly and update unwrap_prior(fixture.prior).z across trainer families.""" - fixture = fixture_cls(steps=10, batch_size=64, particles=256, z_dim=2, device="cpu", seed=0) - + """Supported explicit noise-free software recipes update; unsupported Atlas blocks intact.""" if recipe_name == "atlas": - recipe = get_recipe("atlas", batch_size=64, num_particles=256, z_dim=2) - base_prior = ParticlePrior(num_particles=256, z_dim=2) - init.deterministic_orthogonal_(base_prior, seed=4) - prior = ManipulatedPrior(base_prior, [NormalNoiseManipulator(sigma=0.0065)]) - fixture.rebind_trainer(recipe, prior=prior) - else: - fixture.rebind_trainer(recipe_name) + with pytest.raises(UnsupportedRecipeOverrides, match="intact recipe"): + fixture_cls(recipe_name="atlas", max_steps=10, device="cpu", seed=0) + return + fixture = build_fixture(fixture_cls=fixture_cls, recipe_name=recipe_name, + max_steps=10, batch_size=64, particles=256) z_param = unwrap_prior(fixture.prior).z assert z_param.requires_grad is True @@ -545,7 +536,7 @@ def test_bigan_coordinate_fourier_features_architecture(): def test_bigan_capacity_and_cycle_weight(): """Verify Ring16BiGANFixture capacity upgrade to 128 hidden, 3 layers, and cycle_weight=2.0.""" - fixture = Ring16BiGANFixture(steps=5, device="cpu", seed=0) + fixture = build_fixture(max_steps=5) assert fixture.cycle_weight == 2.0 # Generator: 3 layers, 128 hidden @@ -580,7 +571,7 @@ def test_bigan_capacity_and_cycle_weight(): def test_bispf_thermal_and_critic_hook_binding(): """Verify rebind_trainer binds thermal source and hook attaches unprojected coordinates for BISPF.""" - fixture = Ring16BiGANFixture(steps=5, device="cpu", seed=0, recipe_name="bispf") + fixture = build_fixture(max_steps=5, recipe_name="bispf") # Thermal source must be bound to optimizer record assert hasattr(fixture.opt_d, "record") @@ -596,7 +587,7 @@ def test_bispf_thermal_and_critic_hook_binding(): def test_bigan_alice_recon_loss_target_detached(): """Verify that z_fake is detached in ALICE reconstruction loss so prior table gradients come only from adversarial / prior regularizer.""" - fixture = Ring16BiGANFixture(steps=5, device="cpu", seed=0) + fixture = build_fixture(max_steps=5) real_x = fixture.sample_target(16) z_fake, _ = fixture._sample_prior(16) x_fake = fixture._generate(z_fake.detach()) diff --git a/tests/test_solvability_deep100g.py b/tests/test_solvability_deep100g.py index a23877dfd..2e0c78130 100644 --- a/tests/test_solvability_deep100g.py +++ b/tests/test_solvability_deep100g.py @@ -22,6 +22,7 @@ from benchmarks.toy_audit.api_vectors import ( ResidualMLPGenerator, ScaledResidualMLPGenerator, + ScaledSimpleMLPGenerator, ) from lib.toy_models import SimpleMLPGenerator @@ -93,7 +94,7 @@ def test_level1_oracle_grid100_res16_tanh_200_trials(): def test_level2_constructive_capacity_mlp16_identity_representation(): case = next(c for c in api.list_cases() if c["id"] == "api-grid100-mlp16") - gen = SimpleMLPGenerator(z_dim=2, hidden_dim=128, n_hidden=16, out_dim=2, use_norm=False) + gen = SimpleMLPGenerator(z_dim=2, hidden_dim=128, n_hidden=16, out_dim=2) # Verify structural depth: 16 hidden layers (17 linear layers total) linears = [m for m in gen.net if isinstance(m, torch.nn.Linear)] @@ -146,7 +147,7 @@ def test_level2_constructive_capacity_mlp16_identity_representation(): def test_level2_constructive_capacity_res16_tanh(): case = next(c for c in api.list_cases() if c["id"] == "api-grid100-res16-tanh") scale = case.get("scale", 5.25) - gen = ResidualMLPGenerator(z_dim=2, hidden_dim=128, n_blocks=7, out_dim=2, scale=scale, use_norm=False) + gen = ResidualMLPGenerator(z_dim=2, hidden_dim=128, n_blocks=7, out_dim=2, scale=scale) # Verify structural depth: 1 stem + 7 blocks * 2 linears + 1 head = 16 linear layers linears = [m for m in gen.modules() if isinstance(m, torch.nn.Linear)] @@ -200,7 +201,7 @@ def test_level2_scaled_residual_architecture_and_saturation_guard(): loss = out.sum() loss.backward() assert torch.all(torch.isfinite(extreme_z.grad)), "Expected finite gradients through TanhRailGuard" - assert torch.all(torch.abs(extreme_z.grad) > 0.0), "Expected non-vanishing gradient restoring force" + assert torch.all(torch.abs(extreme_z.grad) > 0.0), "Expected a nonzero derivative of the soft-bounded forward" def test_level2_paired_scaled_residual_norm_preserving_transport(): @@ -226,8 +227,9 @@ def test_level2_paired_scaled_residual_norm_preserving_transport(): def test_level2_deep_mlp16_layernorm_architecture(): - gen = SimpleMLPGenerator(z_dim=2, hidden_dim=128, n_hidden=16, out_dim=2) + gen = ScaledSimpleMLPGenerator(z_dim=2, hidden_dim=128, n_hidden=16, out_dim=2, use_norm=True) + # This explicit normalized variant is separate from the unnormalized task. # 1. Structural depth: 16 hidden layers (17 linear layers) + 16 LayerNorm layers linears = [m for m in gen.net if isinstance(m, torch.nn.Linear)] norms = [m for m in gen.net if isinstance(m, torch.nn.LayerNorm)] diff --git a/tests/test_solvability_misgan.py b/tests/test_solvability_misgan.py index 764b1047b..5ef6dca6d 100644 --- a/tests/test_solvability_misgan.py +++ b/tests/test_solvability_misgan.py @@ -634,7 +634,7 @@ def test_level3_destructive_negative_controls_mcar_p80_anchored(): ) @pytest.mark.parametrize("family", ["bispf", "atlas", "bcap", "k3p", "ka2"]) def test_misgan_multi_family_trainer_and_prior_updates(case_id: str, family: str): - """Verify all 4 MisGAN fixtures run 4 steps cleanly and update unwrap_prior(fixture.prior).z across families.""" + """Run supported intact recipes; unsupported controls are explicit refusals.""" case = deepcopy(CASES[case_id]) base_recipe = get_recipe(family) kw = dict(batch_size=64, num_particles=256, z_dim=8) @@ -647,30 +647,17 @@ def test_misgan_multi_family_trainer_and_prior_updates(case_id: str, family: str init.deterministic_orthogonal_(base, seed=17) prior = ManipulatedPrior(base, [NormalNoiseManipulator(sigma=0.0065)]) - if case_id in ("api-misgan-block-recovery", "api-misgan-mcar-p50-recovery"): - fixture = MisGANRecoveryFixture( - case, - seed=0, - recipe=recipe, - prior=prior, - max_steps=4, - batch_size=64, - particles=256, - z_dim=8, - device="cpu", - ) - else: - fixture = MisGANNeuralImputerFixture( - case, - seed=0, - recipe=recipe, - prior=prior, - max_steps=4, - batch_size=64, - particles=256, - z_dim=8, - device="cpu", - ) + owner = (MisGANRecoveryFixture if case_id in + ("api-misgan-block-recovery", "api-misgan-mcar-p50-recovery") else MisGANNeuralImputerFixture) + kwargs = dict(seed=0, recipe=recipe, prior=prior, max_steps=4, + batch_size=64, particles=256, z_dim=8, device="cpu") + if family in ("atlas", "k3p", "ka2"): + declared = recipe.to_dict() + with pytest.raises(ValueError, match="cannot execute the intact recipe mechanisms"): + owner(case, **kwargs) + assert recipe.to_dict() == declared + return + fixture = owner(case, **kwargs) assert fixture.recipe.name == family assert isinstance(fixture.D_x, FourierMLPDiscriminator) diff --git a/tests/test_suite_policy.py b/tests/test_suite_policy.py index 6f57671c0..4298fa138 100644 --- a/tests/test_suite_policy.py +++ b/tests/test_suite_policy.py @@ -158,10 +158,18 @@ def test_thread_restore_survives_a_test_that_stubs_the_torch_module(monkeypatch) def test_minimum_supported_python_ci_job_runs_pytest(): workflow = yaml.safe_load((ROOT / ".github/workflows/tests.yml").read_text()) job = workflow["jobs"]["cpu-tests"] - assert {"python": "3.11", "shard": 0} in job["strategy"]["matrix"]["include"] + matrix = job["strategy"]["matrix"]["include"] + assert {(item["python"], item["shard"]) for item in matrix} == { + (version, shard) for version in ("3.11", "3.12") for shard in range(4) + } runs = [step for step in job["steps"] if "scripts/ci_pytest.py run" in step.get("run", "")] - conditions = {step.get("if") for step in runs} - assert "matrix.python == '3.11'" in conditions and "matrix.python == '3.12'" in conditions - # Only the complete 3.12 shard set feeds the release coverage receipt check. + assert len(runs) == 1 and "if" not in runs[0] + assert "--count 4" in runs[0]["run"] + assert "${{ matrix.python }}" in runs[0]["run"] + # Both complete interpreter suites must feed separate release coverage checks. uploads = [step for step in job["steps"] if step.get("uses", "").startswith("actions/upload-artifact")] - assert all("3.12" in step.get("if", "") for step in uploads) + assert uploads and all(step.get("if") == "always()" for step in uploads) + assert all("${{ matrix.python }}" in step["with"]["path"] for step in uploads) + checks = "\n".join(step.get("run", "") for step in workflow["jobs"]["distributions"]["steps"]) + for version in ("3.11", "3.12"): + assert f"scripts/ci_pytest.py check /tmp/pytest-shards/pytest-{version}-shard-*.json" in checks diff --git a/tests/test_swappable_priors.py b/tests/test_swappable_priors.py index 7cb15c92c..7a2339c3a 100644 --- a/tests/test_swappable_priors.py +++ b/tests/test_swappable_priors.py @@ -208,17 +208,15 @@ def assert_nested_allclose(left, right, atol: float = 1e-6, rtol: float = 1e-5): # ----------------------------------------------------------------------------- def test_recipe_fields_exact_tuple_invariance(): - """AC1 Gate 1: get_recipe_fields() matches the exact declared schema (112 fields plus the two - BISPF gate fields and the declared prior_code_law); prior manipulators add no recipe fields.""" + """Prior manipulators retain the frozen base schema plus explicit controls.""" + additions = ('reg_real_weight', 'reg_fake_weight', 'joint_reconstruction_weight', 'conditional_energy_weight', 'conditional_energy_samples', 'masked_mixture_weight', 'masked_transport_weight', 'imputer_component_weight') fields_dict = get_recipe_fields() - field_names = tuple(fields_dict.keys()) - assert len(field_names) == 118, f"Expected exactly 118 recipe fields, found {len(field_names)}" - assert field_names == FROZEN_RECIPE_FIELDS - - # Assert Recipe dataclass itself has identical 118 fields - recipe_fields = tuple(f.name for f in dataclasses.fields(Recipe)) - assert len(recipe_fields) == 118 - assert recipe_fields == FROZEN_RECIPE_FIELDS + field_names = tuple(fields_dict) + assert len(field_names) == 118 + len(additions) + assert tuple(name for name in field_names if name not in additions) == FROZEN_RECIPE_FIELDS + assert tuple(field.name for field in dataclasses.fields(Recipe)) == field_names + from particlegan.recipe_compat import SEARCH_RECIPE_DEFAULTS + assert all(fields_dict[name] == SEARCH_RECIPE_DEFAULTS[name] for name in additions) def test_recipe_no_toplevel_torch_import(): @@ -238,11 +236,11 @@ def find_spec(self, fullname, path=None, target=None): # Resolve fields across multiple presets without torch fields_ka2 = module.get_recipe_fields('ka2') -assert len(fields_ka2) == 118 +assert len(fields_ka2) == 126 fields_bcap = module.get_recipe_fields('bcap') -assert len(fields_bcap) == 118 +assert len(fields_bcap) == 126 fields_bispf = module.get_recipe_fields('bispf_optimized') -assert len(fields_bispf) == 118 +assert len(fields_bispf) == 126 assert 'torch' not in sys.modules, 'torch leaked into sys.modules' assert 'particlegan' not in sys.modules, 'particlegan leaked into sys.modules' diff --git a/tests/test_toy_api_contract.py b/tests/test_toy_api_contract.py index 2d9266d68..23434f722 100644 --- a/tests/test_toy_api_contract.py +++ b/tests/test_toy_api_contract.py @@ -135,6 +135,6 @@ def test_executable_inventory_retains_every_historical_question_and_pr231(): historical = {name: case for name, case in cases.items() if case["provider"] not in api_contract.MODEL_PROVIDERS and name not in gan_stretch} assert len(historical) == 186 - assert len(cases) == 204 # Eight model/encoding cases and ten GAN stretch cases. + assert len(cases) == 205 # Eight model cases, scoped MisGAN and ten GAN stretch cases. assert all(case["evaluation_observations"] >= case.get("terminal_observations", 5) for case in cases.values()) diff --git a/tests/test_toy_api_family_search.py b/tests/test_toy_api_family_search.py index 217824c23..a48d54f49 100644 --- a/tests/test_toy_api_family_search.py +++ b/tests/test_toy_api_family_search.py @@ -81,6 +81,35 @@ def test_actual_public_recipe_knobs_applied_before_optimizer_and_updated(cases, search._check_health(fixture.state_dict(), cases[identifier], fixture.recipe.to_dict(), completed_steps=2) +@pytest.mark.parametrize("family", ["atlas", "e22", "bispf"]) +def test_vector_recipe_identity_excludes_hidden_task_trainer_fields(family): + from benchmarks.toy_audit import api_vectors + case = api_contract.discover()["api-vector-two-broad"] + case["spec"].update(lr=9., d_lr_mult=8., prior_lr_mult=7., prior_reg=6., + betas=[.1, .2], ema_decay=.3) + case["recipe_overrides"] = {"loss": "hinge", "lr": 100.} + knobs = {"lr": .0053125, "prior_lr_mult": 1.5, "d_lr_mult": 2.25} + resources = dict(num_particles=case["particles"], z_dim=case["z_dim"], batch_size=case["batch_size"]) + if get_recipe(family).continuous_policy is None: + resources["total_steps"] = case["default_steps"] + expected = get_recipe(family, **resources, **knobs) + fixture = api_vectors.VectorFixture(case, recipe_name=family, recipe_overrides=knobs, max_steps=1) + assert fixture.recipe == expected + assert search.resolved_recipe(case, family, knobs) == api_run.json_value(expected.to_dict()) + assert search.host_recipe_options(case, family) == resources + + +def test_vector_recipe_identity_retains_declared_mog_initial_law(): + from benchmarks.toy_audit import api_vectors + case = api_contract.discover()["api-grid100-res16-scaled-tanh"] + case.update(particles=32, batch_size=16) + fixture = api_vectors.VectorFixture(case, recipe_name="bispf", max_steps=1) + expected = get_recipe("bispf", num_particles=32, batch_size=16, z_dim=case["z_dim"], + total_steps=case["default_steps"], prior_kind="mog", standardize=False, sigma_rel=.025) + assert fixture.recipe == expected + assert search.resolved_recipe(case, "bispf", {}) == api_run.json_value(expected.to_dict()) + + @pytest.mark.parametrize("override", [{"z_dim": 1}, {"prior_kind": "mog"}, {"num_particles": 1}, {"continuous_policy": None}, {"lr": float("nan")}]) def test_host_sampler_and_invalid_public_fields_rejected_before_optimizers(cases, monkeypatch, override): diff --git a/tests/test_toy_api_gaussian1d.py b/tests/test_toy_api_gaussian1d.py index de0efaea5..51fdaebf3 100644 --- a/tests/test_toy_api_gaussian1d.py +++ b/tests/test_toy_api_gaussian1d.py @@ -2,6 +2,8 @@ from copy import deepcopy from pathlib import Path import json +import subprocess +import sys import numpy as np import pytest @@ -13,7 +15,7 @@ from experiments.forge import adapters from experiments.forge.state import state_digest from experiments.forge.views import grade_result -from particlegan import GANTrainer, MoGParticlePrior +from particlegan import GANTrainer, MoGParticlePrior, get_recipe, init ROOT = Path(__file__).resolve().parents[1] @@ -65,6 +67,31 @@ def test_public_trainer_scalar_mog_and_observer_isolation(): assert view["xlim"] == [-2., 5.] +@pytest.mark.parametrize("family", ["k3p", "bispf"]) +def test_scalar_initial_prior_law_is_task_bound_without_trainer_tuning(family): + task = json.loads(api_gaussian1d.TASK_PATH.read_text()) + host, law = task["execution"]["host_definition"], task["execution"]["prior"] + metadata = case() + assert "recipe_overrides" not in metadata + fixture = api_gaussian1d.build_case(api_gaussian1d.CASE_ID, recipe_name=family, max_steps=1) + expected = get_recipe(family, num_particles=host["particles"], z_dim=host["z_dim"], + batch_size=host["batch"], total_steps=host["steps"], + prior_kind=law["kind"], sigma_rel=0., standardize=law["standardize"]) + assert fixture.recipe == expected + prior = fixture.trainer.prior + assert isinstance(prior, MoGParticlePrior) + assert prior.z.shape == (host["particles"], host["z_dim"]) + assert prior.standardize is law["standardize"] is False + assert torch.equal(prior.sigma, prior.sigma.new_tensor(law["sigma"])) + assert prior.sigma_rel == 0. + reference = expected.make_prior(init_std=.5, sigma=law["sigma"]) + init.deterministic_orthogonal_(reference, seed=2) + assert torch.equal(prior.z, reference.z) + actual, indices = prior.sample(32, generator=torch.Generator().manual_seed(19)) + declared, declared_indices = reference.sample(32, generator=torch.Generator().manual_seed(19)) + assert torch.equal(indices, declared_indices) and torch.equal(actual, declared) + + def test_forge_scalar_adapter_and_incomplete_short_protocol(tmp_path): task = json.loads((ROOT / "configs/forge/tasks/gaussian1d_acquisition.json").read_text()) task["execution"]["steps"] = 2 # Integration proof; full task still needs 1,000. @@ -90,3 +117,18 @@ def test_forge_preflight_rejects_wrong_scalar_target_or_missing_scorer(): assert any("scalar scorer" in message for message in adapters.adapter_preflight(missing, candidate)) task["execution"]["host_definition"]["covariances"] = [[[0.]]] assert any("positive sigma" in message for message in adapters.adapter_preflight(task, candidate)) + + +def test_declared_scorer_is_bound_before_execution_in_a_fresh_process(): + # Parent imports must not accidentally supply a scorer missing from a new receipt. + code = """ +from hashlib import sha256 +from pathlib import Path +from benchmarks.toy_audit import api_gaussian1d, api_run +case = api_gaussian1d.list_cases()[0] +assert case['sample_evaluator'] == 'benchmarks.toy_audit.gaussian1d_quality:score_samples' +path = 'benchmarks/toy_audit/gaussian1d_quality.py' +assert api_run.source_identity()['files_sha256'][path] == sha256(Path(path).read_bytes()).hexdigest() +""" + subprocess.run([sys.executable, "-c", code], cwd=ROOT, check=True, + capture_output=True, text=True, timeout=30) diff --git a/tests/test_toy_api_run.py b/tests/test_toy_api_run.py index fdf901657..40520cfe5 100644 --- a/tests/test_toy_api_run.py +++ b/tests/test_toy_api_run.py @@ -72,6 +72,20 @@ def test_eval_isolation_preserves_all_ambient_rngs(): assert torch.equal(cpu, torch.get_rng_state()) +def test_diagnostic_state_artifact_cannot_claim_checkpoint_continuation(tmp_path, monkeypatch): + fixture = PublicSoftwareFixture() + capabilities = dict(state_export="diagnostic_only", resume=False, exact_continuation=False) + fixture.metadata = {"checkpoint_capabilities": capabilities} + monkeypatch.setattr(api_run.contract, "build", lambda *args, **kwargs: fixture) + case = {"id": "diagnostic-export-control", "goal": "Annotate exported component state", + "default_steps": 8, "eval_samples": 32, "checkpoint_capabilities": capabilities} + result = api_run.run_case(case, tmp_path / "diagnostic", steps=1, frames=2) + assert result["checkpoint_capabilities"] == capabilities + assert result["artifacts"]["final-state.pt"]["checkpoint_capabilities"] == capabilities + saved = json.loads((tmp_path / "diagnostic/receipt.json").read_text()) + assert not saved["artifacts"]["final-state.pt"]["checkpoint_capabilities"]["resume"] + + def test_entire_run_isolates_ambient_training_rng_and_restores_execution_settings(tmp_path, monkeypatch): class AmbientFixture(PublicSoftwareFixture): def step(self): diff --git a/tests/test_toy_api_vectors.py b/tests/test_toy_api_vectors.py index 5a7de0a84..2fa3c172a 100644 --- a/tests/test_toy_api_vectors.py +++ b/tests/test_toy_api_vectors.py @@ -47,18 +47,19 @@ def assert_nested_equal(left, right): assert left == right -def test_deterministic_prior_and_identical_batches_across_loss_paths(): +def test_deterministic_prior_and_identical_batches_across_formulations(): case = definition("api-vector-two-broad") fixtures = [] - for loss in ("relativistic", "non_saturating"): - changed = deepcopy(case) - changed["recipe_overrides"] = {"loss": loss} - fixtures.append(api.VectorFixture(changed, recipe_name="k3p", max_steps=3)) + for family in ("k3p", "bispf"): + fixtures.append(api.VectorFixture(deepcopy(case), recipe_name=family, max_steps=3)) left, right = fixtures expected = api.init.deterministic_orthogonal_(left.recipe.make_prior(init_std=.5)) assert torch.equal(left.trainer.prior.z, expected.z) - for role in ("G", "D", "prior"): + for role in ("G", "D"): assert_nested_equal(getattr(left.trainer, role).state_dict(), getattr(right.trainer, role).state_dict()) + # Recipe-owned regularizers may register different reference buffers, but + # the task's initial particle locations and data streams remain shared. + assert torch.equal(left.trainer.prior.z, right.trainer.prior.z) for _ in range(3): left.step() right.step() @@ -250,7 +251,7 @@ def test_moving_targets_use_exact_original_update_boundaries(): assert drift["law"]["schedule_budget"] == 1600 -@pytest.mark.parametrize("identifier", ["api-vector-two-broad", "api-pr49-published", "api-pr49-control", "api-stress-r1-r2", "api-ring8-acquire", "api-two-pole-grid12", "api-gaussian2d", "api-grid100"]) +@pytest.mark.parametrize("identifier", ["api-vector-two-broad", "api-pr49-published", "api-pr49-control", "api-ring8-acquire", "api-two-pole-grid12", "api-gaussian2d", "api-grid100"]) def test_real_public_trainer_update_short_schedule_and_pure_observation(identifier): fixture = api.build_case(identifier, recipe_name="auto", max_steps=2) assert isinstance(fixture.recipe, Recipe) and isinstance(fixture.trainer, GANTrainer) @@ -268,7 +269,7 @@ def test_real_public_trainer_update_short_schedule_and_pure_observation(identifi assert_nested_equal(before, fixture.state_dict()) -@pytest.mark.parametrize("identifier", ["api-vector-two-broad", "api-reserved-alternating-critic-updates", "api-ring8-acquire", "api-gaussian2d"]) +@pytest.mark.parametrize("identifier", ["api-vector-two-broad", "api-ring8-acquire", "api-gaussian2d"]) def test_checkpoint_resume_retains_data_rng_optimizers_and_next_update(identifier): straight = api.build_case(identifier, recipe_name="auto", max_steps=3) straight.step() @@ -300,8 +301,8 @@ def test_failed_scientific_phase_prerequisite_stops_before_training(phase, compl def test_half_frequency_d_loop_preserves_phase_and_uses_public_factories(): - fixture = api.build_case("api-reserved-alternating-critic-updates", recipe_name="auto", max_steps=4) - assert fixture.recipe.name == "ka2" and fixture.recipe.continuous_policy is None + fixture = api.build_case("api-reserved-alternating-critic-updates", recipe_name="bispf", max_steps=4) + assert fixture.recipe.name == "bispf" and fixture.recipe.continuous_policy is None assert fixture.recipe.total_steps == 2400 assert fixture.recipe.input_noise_std == fixture.recipe.output_noise_std == 0 for step in range(1, 5): @@ -310,13 +311,13 @@ def test_half_frequency_d_loop_preserves_phase_and_uses_public_factories(): state = fixture.state_dict() fixture.observe(n=64) assert_nested_equal(state, fixture.state_dict()) - with pytest.raises(ValueError, match="explicitly KA2"): + with pytest.raises(ValueError, match="cannot execute the intact recipe"): api.build_case("api-reserved-alternating-critic-updates", recipe_name="atlas", max_steps=1) - with pytest.raises(ValueError, match="lacks the Atlas/DV12"): + with pytest.raises(ValueError, match="explicitly declared matching recipe"): api.build_case("api-stress-r1-r2", recipe_name="atlas", max_steps=1) -@pytest.mark.parametrize("identifier", ["api-vector-two-broad", "api-reserved-alternating-critic-updates"]) +@pytest.mark.parametrize("identifier", ["api-vector-two-broad"]) def test_corrupted_phase_clock_is_rejected_before_resume_mutates_any_owner(identifier): fixture = api.build_case(identifier, recipe_name="auto", max_steps=3) fixture.step() diff --git a/tests/test_vector_formula_contracts.py b/tests/test_vector_formula_contracts.py new file mode 100644 index 000000000..f6719cd6d --- /dev/null +++ b/tests/test_vector_formula_contracts.py @@ -0,0 +1,234 @@ +"""Software controls for formula-faithful vector execution, without quality credit.""" +from copy import deepcopy +import json +from pathlib import Path +import subprocess +import sys + +import pytest +import torch + +from benchmarks.toy_audit import api_vectors as api +from tests.test_toy_api_vectors import assert_nested_equal +from particlegan import get_recipe + + +@pytest.fixture(autouse=True) +def one_cpu_thread(): + previous = torch.get_num_threads() + torch.set_num_threads(1) + yield + torch.set_num_threads(previous) + + +def small_case(identifier): + case = deepcopy(api._registry()[identifier]) + case.update(particles=32, batch_size=16) + return case + + +@pytest.mark.parametrize("import_first", [False, True]) +def test_shared_generator_architecture_does_not_depend_on_vector_import(import_first): + source = f''' +import json +import torch +if {import_first!r}: + import benchmarks.toy_audit.api_vectors +import lib.toy_models as models +original = models.SimpleMLPGenerator +torch.manual_seed(0) +before = original(2, 32, 16, 2) +import benchmarks.toy_audit.api_vectors as api +torch.manual_seed(0) +after = models.SimpleMLPGenerator(2, 32, 16, 2) +print(json.dumps({{ + "same_class": original is models.SimpleMLPGenerator is api.SimpleMLPGenerator, + "normalizations": [sum(isinstance(m, torch.nn.LayerNorm) for m in g.modules()) for g in (before, after)], + "same_initial_state": all(torch.equal(v, after.state_dict()[k]) for k, v in before.state_dict().items()), +}})) +''' + result = subprocess.run([sys.executable, "-c", source], text=True, capture_output=True, + cwd=Path(__file__).resolve().parents[1], check=True) + assert json.loads(result.stdout) == { + "same_class": True, "normalizations": [0, 0], "same_initial_state": True} + + +@pytest.mark.parametrize("identifier,expected_class,normalizations,residual_scale", [ + ("api-grid100-mlp16", api.SimpleMLPGenerator, 0, None), + ("api-grid100-res16-tanh", api.ResidualMLPGenerator, 0, 1.), + ("api-grid100-res16-scaled-tanh", api.ScaledResidualMLPGenerator, 1, 1 / 14 ** .5), +]) +def test_deep_tasks_construct_distinct_declared_architectures(identifier, expected_class, + normalizations, residual_scale): + fixture = api.VectorFixture(small_case(identifier), recipe_name="k3p", max_steps=1) + generator = fixture.trainer.G + assert type(generator) is expected_class + assert sum(isinstance(m, torch.nn.LayerNorm) for m in generator.modules()) == normalizations + if residual_scale is not None: + assert all(block.scale == pytest.approx(residual_scale) for block in generator.blocks) + assert fixture.metadata["architecture"]["generator"] == expected_class.__name__ + + +def test_scaled_task_has_no_model_or_prior_writes_outside_the_trainer(monkeypatch): + """Cross all former helper deadlines with the optimizer deliberately inactive. + + This is a writer-ownership check, not a learned-quality experiment. The + former empirical helper reset the perturbed generator and rewrote rows. + """ + fixture = api.VectorFixture(small_case("api-grid100-res16-scaled-tanh"), + recipe_name="k3p", max_steps=100) + with torch.no_grad(): + fixture.trainer.G.head.bias.add_(.3) + fixture.trainer.prior.z.add_(2.) + before = deepcopy(fixture.trainer.state_dict()) + calls = [] + + def inactive_step(real, *, generator_real): + calls.append((real.clone(), generator_real.clone())) + return {"step": len(calls)} + + monkeypatch.setattr(fixture.trainer, "step", inactive_step) + for _ in range(100): + fixture.step() + assert len(calls) == fixture.completed_steps == 100 + assert_nested_equal(before, fixture.trainer.state_dict()) + assert not hasattr(fixture.trainer, "_scaled_res16_emp_state") + + +def test_scaled_fixture_fresh_object_continuation_matches_uninterrupted_state(): + case = small_case("api-grid100-res16-scaled-tanh") + source = api.VectorFixture(case, recipe_name="k3p", max_steps=3) + source.step() + saved = source.state_dict() + restored = api.VectorFixture(case, recipe_name="k3p", max_steps=3) + restored.load_state_dict(saved) + assert_nested_equal(saved, restored.state_dict()) + source.step() + restored.step() + assert_nested_equal(source.state_dict(), restored.state_dict()) + + +def test_pre_repair_vector_checkpoint_requires_its_original_source(): + fixture = api.VectorFixture(small_case("api-grid100-res16-scaled-tanh"), + recipe_name="k3p", max_steps=1) + before = fixture.state_dict() + historical = deepcopy(before) + historical["version"] = "toy-public-api-vectors-v2" + with pytest.raises(ValueError, match="identity/recipe"): + fixture.load_state_dict(historical) + assert_nested_equal(before, fixture.state_dict()) + + +def test_soft_bounded_tanh_is_the_derivative_of_its_forward(): + u = torch.tensor([-15., -1., 0., 1., 15.], dtype=torch.float64, requires_grad=True) + assert torch.autograd.gradcheck(api.TanhRailGuard.apply, (u,)) + assert torch.autograd.gradgradcheck(api.TanhRailGuard.apply, (u,)) + zero = torch.autograd.grad(api.TanhRailGuard.apply(u), u, torch.zeros_like(u))[0] + assert torch.equal(zero, torch.zeros_like(u)) + one = torch.tensor([1.], dtype=torch.float64, requires_grad=True) + observed = torch.autograd.grad(api.TanhRailGuard.apply(one), one)[0] + expected = 1 - torch.tanh(one / 5.25).square() + torch.testing.assert_close(observed, expected) + + +def test_task_profiles_cannot_replace_requested_trainer_fields(): + case = small_case("api-vector-two-broad") + case["spec"].update(lr=9., d_lr_mult=8., prior_lr_mult=7., prior_reg=6., + betas=[.1, .2], ema_decay=.3) + case["recipe_overrides"] = {"lr": 100., "loss": "relativistic"} + fixture = api.VectorFixture(case, recipe_name="bispf", max_steps=1) + expected = get_recipe("bispf", num_particles=case["particles"], + z_dim=case["z_dim"], batch_size=case["batch_size"], + total_steps=case["default_steps"]) + assert fixture.recipe == expected + + +def test_scaled_metadata_declares_the_clean_law_actually_sampled(monkeypatch): + case = small_case("api-grid100-res16-scaled-tanh") + fixture = api.VectorFixture(case, recipe_name="bispf", max_steps=1) + original = fixture.trainer.sample + flags = [] + def sample(*args, **kwargs): + flags.append(kwargs["output_noise"]) + return original(*args, **kwargs) + monkeypatch.setattr(fixture.trainer, "sample", sample) + fixture.observe(n=32) + assert flags and not any(flags) + assert "without additive output noise" in fixture.metadata["sampling"] + + +def test_intact_ka2_default_caller_is_blocked_before_optimizers_are_built(monkeypatch): + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + def optimizer_forbidden(*args, **kwargs): + raise AssertionError("unsupported candidate reached optimizer construction") + monkeypatch.setattr(api.Recipe, "make_optimizers", optimizer_forbidden) + case = api._registry()["api-reserved-alternating-critic-updates"] + assert case["default_recipe"] == "ka2" + with pytest.raises(UnsupportedRecipeOverrides, match="intact recipe"): + api.VectorFixture(case, recipe_name="auto", max_steps=1) + + +def test_caller_checkpoint_restore_is_explicitly_unsupported_and_never_mutates(): + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + case = small_case("api-reserved-alternating-critic-updates") + fixture = api.VectorFixture(case, recipe_name="bispf", max_steps=3) + fixture.step() + before = fixture.state_dict() + assert before["checkpoint_scope"] == "export_only_no_resume" + assert fixture.metadata["checkpoint_capabilities"] == dict( + state_export="diagnostic_only", resume=False, exact_continuation=False) + assert set(before["caller"]["penalty"]) == {"coeff", "last_stats", "cooler"} + corrupt = deepcopy(before) + corrupt["caller"]["generator"]["net.0.weight"].add_(2) + corrupt["caller"]["latent_rng"] = torch.ones(1, dtype=torch.uint8) + with pytest.raises(UnsupportedRecipeOverrides, match="complete checkpoint restore is unsupported"): + fixture.load_state_dict(corrupt) + assert_nested_equal(before, fixture.state_dict()) + + +def test_required_checkpoint_contract_blocks_caller_before_construction(monkeypatch): + from benchmarks.toy_audit import api_contract + case = small_case("api-reserved-alternating-critic-updates") + case.update(provider="api_vectors", checkpoint_required=True) + def optimizer_forbidden(*args, **kwargs): + raise AssertionError("missing checkpoint capability reached optimizer construction") + monkeypatch.setattr(api.Recipe, "make_optimizers", optimizer_forbidden) + with pytest.raises(api_contract.UnsupportedRecipeOverrides, match="checkpoint continuation"): + api_contract.build(case, recipe_name="bispf", max_steps=1) + with pytest.raises(api_contract.UnsupportedRecipeOverrides, match="checkpoint continuation"): + api.VectorFixture(case, recipe_name="bispf", max_steps=1) + + +def test_original_caller_default_is_a_blocked_receipt_without_training(tmp_path): + from benchmarks.toy_audit import api_run + case = api._registry()["api-reserved-alternating-critic-updates"] + case["provider"] = "api_vectors" + result = api_run.run_case(case, tmp_path / "blocked-ka2", recipe_name="auto", steps=1) + assert case["default_recipe"] == "ka2" + assert result["status"] == "BLOCKED" and result["verdict"] == "FAIL" + assert result["completed_updates"] == 0 and result["artifacts"] == {} + assert result["checkpoint_capabilities"] == case["checkpoint_capabilities"] + assert "intact recipe mechanisms" in result["failed_bounds"][0] + + +def test_fixed_penalty_question_requires_matching_explicit_recipe(): + from benchmarks.toy_audit.api_contract import UnsupportedRecipeOverrides + case = small_case("api-stress-r1-r2") + with pytest.raises(UnsupportedRecipeOverrides, match="explicitly declared matching recipe"): + api.VectorFixture(case, recipe_name="auto", max_steps=1) + declared = get_recipe("k3p", num_particles=case["particles"], z_dim=case["z_dim"], + batch_size=case["batch_size"], total_steps=case["default_steps"], + reg_arm=case["penalty_arm"], reg_coeff=case["spec"]["reg_coeff"]) + fixture = api.VectorFixture(case, recipe=declared, max_steps=1) + assert fixture.recipe == declared + fixture.step() + + +def test_supplied_complete_recipe_is_retained_without_task_tuning(): + case = small_case("api-reserved-alternating-critic-updates") + declared = get_recipe("ka2", num_particles=case["particles"], z_dim=case["z_dim"], + batch_size=case["batch_size"], total_steps=case["default_steps"], + input_noise_std=0., output_noise_std=0., latent_damping_max_rate=0.) + fixture = api.VectorFixture(case, recipe=declared, max_steps=1) + assert fixture.recipe == declared + assert fixture.step()["g"] == 1 diff --git a/tests/test_zero_tanh_grading.py b/tests/test_zero_tanh_grading.py new file mode 100644 index 000000000..239887c6c --- /dev/null +++ b/tests/test_zero_tanh_grading.py @@ -0,0 +1,131 @@ +"""New-source grading support for the existing origin-Dirac smoke contract.""" +from copy import deepcopy +import json +import math +from pathlib import Path + +import pytest +import torch + +from experiments.forge import adapters, tanh_point_mass +from experiments.forge.priors import prior_policy_receipt +from experiments.forge.sampling import PUBLIC_PRIOR_CLEAN, executed_receipt +from experiments.forge.views import grade_result +from particlegan import Recipe + + +ROOT = Path(__file__).resolve().parents[1] + + +def task(): + return json.loads((ROOT / "configs/forge/tasks/zero_tanh_smoke.json").read_text()) + + +def receipt(card, samples, *, earlier_samples=None): + spec = card["execution"]["host_definition"] + steps = card["execution"]["steps"] + schedule = sorted({math.ceil(i * steps / 24) for i in range(1, 25)}) + final = tanh_point_mass.score_samples(samples, spec, steps) + earlier = final if earlier_samples is None else tanh_point_mass.score_samples(earlier_samples, spec, 0) + points = [{"step": step, **(final if step == steps else earlier)} for step in schedule] + config = Recipe.from_dict({}) + prior = config.make_prior() + return {"recipe": config.to_dict(), "evidence": { + **executed_receipt(PUBLIC_PRIOR_CLEAN, eval_output_noise="clean"), + "prior_policy": prior_policy_receipt(config, prior), + "observations": points, "live": {"step": steps, **final}}} + + +def test_origin_oracle_dispatches_and_does_not_invent_a_sustained_gate(): + card = task() + original = deepcopy(card) + raw = receipt(card, torch.zeros(4096, 2), earlier_samples=torch.full((4096, 2), .5)) + before = deepcopy(raw) + grade = grade_result(card, raw) + assert grade["status"] == "PASS" + assert len(grade["evaluator_result"]["metrics"]) == 4 + assert "suffix" not in grade["reasons"][0] + assert card == original and raw == before + assert card["evaluation"]["thresholds"] == [["mean_abs_error", "<=", .005], + ["rms_error", "<=", .01], ["p99_abs_error", "<=", .025], ["saturated_fraction", "==", 0.]] + + +@pytest.mark.parametrize("failure", ["mean_abs_error", "rms_error", "p99_abs_error", "saturated_fraction"]) +def test_destructive_samples_fail_the_original_numerical_bound(failure): + samples = torch.zeros(4096, 2) + if failure == "mean_abs_error": + samples.fill_(.006) + elif failure == "rms_error": + samples.flatten()[:32] = .2 + elif failure == "p99_abs_error": + samples.flatten()[:164] = .03 + else: + samples.fill_(.995) + grade = grade_result(task(), receipt(task(), samples)) + assert grade["status"] == "FAIL" + assert any(cell["metric"] == failure and cell["status"] == "FAIL" + for cell in grade["evaluator_result"]["metrics"]) + + +@pytest.mark.parametrize("missing", ["checkpoint", "budget", "sample_count", "live_metric"]) +def test_missing_observation_or_final_contract_cannot_qualify(missing): + card = task() + raw = receipt(card, torch.zeros(4096, 2)) + if missing == "checkpoint": + raw["evidence"]["observations"].pop(0) + elif missing == "budget": + raw["evidence"]["live"]["step"] -= 1 + elif missing == "sample_count": + raw["evidence"]["live"]["sample_count"] = 32 + else: + del raw["evidence"]["live"]["rms_error"] + assert grade_result(card, raw)["status"] == "INCOMPLETE" + + +def test_nonfinite_outputs_and_unsupported_rail_host_never_pass(): + card = task() + assert grade_result(card, receipt(card, torch.full((4096, 2), float("nan"))))["status"] == "INVALID" + raw = receipt(card, torch.zeros(4096, 2)) + card["id"] = "zero_tanh_rail_escape" + assert grade_result(card, raw)["status"] == "BLOCKED" + + +def test_prior_blocked_receipts_and_unsupported_contract_overrides_are_preserved(): + card = task() + raw = receipt(card, torch.zeros(4096, 2)) + raw.update(gate_status="BLOCKED", reason="unsupported evaluator zero_tanh_smoke") + before = deepcopy(raw) + assert grade_result(card, raw)["status"] == "BLOCKED" + assert raw == before + del raw["gate_status"] + for field, value in (("eval_samples", 32), ("minimum_stable_checks", 5)): + changed = deepcopy(card) + changed["evaluation"][field] = value + assert grade_result(changed, raw)["status"] == "INVALID" + + +def test_public_one_update_adapter_is_independently_graded_end_to_end(tmp_path): + # This software prefix preserves the public architecture/prior and scores + # 4,096 actual outputs, but grants no 1,000-update scientific quality credit. + card = task() + card["execution"]["steps"] = 1 + request = {"candidate": {"recipe_overrides": { + "input_noise_std": 0., "output_noise_std": 0., "lr": .0001}}, + "candidate_revision": "zero-tanh-grader-software", "protocol": {"seed": 0}, + "tasks": {card["id"]: card}} + previous = torch.get_num_threads() + torch.set_num_threads(1) + try: + raw = adapters.run_task(request, {"task_id": card["id"]}, tmp_path, "cpu") + finally: + torch.set_num_threads(previous) + assert raw["execution_path"] == "public_trainer" + assert raw["evidence"]["observations"][0]["step"] == 1 + assert raw["evidence"]["live"]["sample_count"] == 4096 + grade = grade_result(card, raw) + expected = all(raw["evidence"]["live"][name] <= threshold if operator == "<=" + else raw["evidence"]["live"][name] == threshold + for name, operator, threshold in card["evaluation"]["thresholds"]) + assert grade["status"] == ("PASS" if expected else "FAIL") + # The same one-update prefix cannot stand in for the original full budget. + assert grade_result(task(), raw)["status"] == "INCOMPLETE"