diff --git a/lib/node_modules/@stdlib/blas/ext/circshift/lib/main.js b/lib/node_modules/@stdlib/blas/ext/circshift/lib/main.js
index c83f975c12c5..5d8e897b39be 100644
--- a/lib/node_modules/@stdlib/blas/ext/circshift/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/circshift/lib/main.js
@@ -85,8 +85,8 @@ function circshift( x, k ) {
 		}
 		// Case: circshift( x, k_ndarray )
 		if ( isndarrayLike( k ) ) {
-			// As the operation is performed across all dimensions, `k` is assumed to be a zero-dimensional ndarray...
-			return base( x, k );
+			// As the operation is performed across all dimensions, `k` must be broadcast-compatible with a zero-dimensional ndarray...
+			return base( x, maybeBroadcastArray( k, [] ) );
 		}
 		throw new TypeError( format( 'invalid argument. Second argument must be either an ndarray or an integer. Value: `%s`.', k ) );
 	}
@@ -104,12 +104,13 @@ function circshift( x, k ) {
 	}
 	// Case: circshift( x, k_ndarray, opts )
 	else if ( isndarrayLike( k ) ) {
-		// When not provided `dims`, the operation is performed across all dimensions and `k` is assumed to be a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `k` to match the shape of the non-core dimensions...
+		// When not provided `dims`, the operation is performed across all dimensions and `k` must be broadcast-compatible with a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `k` to match the shape of the non-core dimensions...
 		if ( hasOwnProp( opts, 'dims' ) ) {
-			ka = maybeBroadcastArray( k, nonCoreShape( getShape( x ), opts.dims ) ); // eslint-disable-line max-len
+			sh = nonCoreShape( getShape( x ), opts.dims );
 		} else {
-			ka = k;
+			sh = [];
 		}
+		ka = maybeBroadcastArray( k, sh );
 	} else {
 		throw new TypeError( format( 'invalid argument. Second argument must be either an ndarray or an integer. Value: `%s`.', k ) );
 	}
diff --git a/lib/node_modules/@stdlib/blas/ext/sort/lib/main.js b/lib/node_modules/@stdlib/blas/ext/sort/lib/main.js
index e63d1b1a31d7..0c8d9f4a04cc 100644
--- a/lib/node_modules/@stdlib/blas/ext/sort/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/sort/lib/main.js
@@ -176,8 +176,8 @@ function sort( x ) {
 		}
 		// Case: sort( x, sortOrder_ndarray )
 		if ( isndarrayLike( o ) ) {
-			// As the operation is performed across all dimensions, `o` is assumed to be a zero-dimensional ndarray...
-			return base( x, o );
+			// As the operation is performed across all dimensions, `o` must be broadcast-compatible with a zero-dimensional ndarray...
+			return base( x, maybeBroadcastArray( o, [] ) );
 		}
 		// Case: sort( x, opts )
 		opts = o;
@@ -201,10 +201,13 @@ function sort( x ) {
 	}
 	// Case: sort( x, sortOrder_ndarray, opts )
 	else if ( isndarrayLike( o ) ) {
-		// When not provided `dims`, the operation is performed across all dimensions and `o` is assumed to be a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `o` to match the shape of the non-core dimensions...
+		// When not provided `dims`, the operation is performed across all dimensions and `o` must be broadcast-compatible with a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `o` to match the shape of the non-core dimensions...
 		if ( hasOwnProp( opts, 'dims' ) ) {
-			o = maybeBroadcastArray( o, nonCoreShape( getShape( x ), opts.dims ) );
+			sh = nonCoreShape( getShape( x ), opts.dims );
+		} else {
+			sh = [];
 		}
+		o = maybeBroadcastArray( o, sh );
 	} else {
 		throw new TypeError( format( 'invalid argument. Second argument must be either an ndarray, a numeric scalar value, or a supported string. Value: `%s`.', o ) );
 	}
diff --git a/lib/node_modules/@stdlib/blas/ext/sorthp/lib/main.js b/lib/node_modules/@stdlib/blas/ext/sorthp/lib/main.js
index fb9353958dc3..c12cb11e96d8 100644
--- a/lib/node_modules/@stdlib/blas/ext/sorthp/lib/main.js
+++ b/lib/node_modules/@stdlib/blas/ext/sorthp/lib/main.js
@@ -176,8 +176,8 @@ function sorthp( x ) {
 		}
 		// Case: sorthp( x, sortOrder_ndarray )
 		if ( isndarrayLike( o ) ) {
-			// As the operation is performed across all dimensions, `o` is assumed to be a zero-dimensional ndarray...
-			return base( x, o );
+			// As the operation is performed across all dimensions, `o` must be broadcast-compatible with a zero-dimensional ndarray...
+			return base( x, maybeBroadcastArray( o, [] ) );
 		}
 		// Case: sorthp( x, opts )
 		opts = o;
@@ -201,10 +201,13 @@ function sorthp( x ) {
 	}
 	// Case: sorthp( x, sortOrder_ndarray, opts )
 	else if ( isndarrayLike( o ) ) {
-		// When not provided `dims`, the operation is performed across all dimensions and `o` is assumed to be a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `o` to match the shape of the non-core dimensions...
+		// When not provided `dims`, the operation is performed across all dimensions and `o` must be broadcast-compatible with a zero-dimensional ndarray; when `dims` is provided, we need to broadcast `o` to match the shape of the non-core dimensions...
 		if ( hasOwnProp( opts, 'dims' ) ) {
-			o = maybeBroadcastArray( o, nonCoreShape( getShape( x ), opts.dims ) );
+			sh = nonCoreShape( getShape( x ), opts.dims );
+		} else {
+			sh = [];
 		}
+		o = maybeBroadcastArray( o, sh );
 	} else {
 		throw new TypeError( format( 'invalid argument. Second argument must be either an ndarray, a numeric scalar value, or a supported string. Value: `%s`.', o ) );
 	}