Layer reference

Each backend mirrors its host framework’s vocabulary for the analogous unconstrained layer:

Concept	PyTorch	JAX (Flax NNX)	Keras 3
Single monotonic layer	MonoLinear	MonoLinear	MonoDense
Composed MLP	MonoMLP	MonoMLP	MonoMLP

PyTorch and Flax NNX both call the standard analog Linear, so the monotonic version is MonoLinear in those backends. Keras calls it Dense, so the monotonic version is MonoDense.

The composed MLP shares the name MonoMLP across all three backends since “MLP” is universal.

Pure-function NumPy reference implementations under mononet.core.reference (monotonic_dense, monotonic_mlp) provide the arithmetic ground truth used by the cross-backend equivalence tests.