TrustMetrixLayer V3: A Contextual Trust-Based Module for Interpretable Neural Reasoning

This technical note introduces TrustMetrixLayer V3, a contextual neural network layer that enables deep models to explain internal reasoning on a layer-by-layer basis. It provides adaptive trust modulation, logs reasoning traces, and improves both interpretability and training efficiency. The module is implemented in PyTorch and available with documentation and training pipeline. Author’s note:If I happen to be wrong in something, please don't judge me too strictly.I'm just an independent researcher and enthusiast trying to explore how neural networks can become more transparent and understandable. Author: Bato Naidanov License: CC BY-NC 4.0