# On physical implementability of reinforcement-learning-driven reasoning

arXiv: https://arxiv.org/abs/2610.14131 · HTML: https://mlsanity.com/paper/2610.14131/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
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- First posted on arXiv 9 Oct 2026.

## Placed in

- LLM reasoning

## Abstract (arXiv)

In the machine learning community, the reinforcement-learning-driven reasoning process has been intensively studied since around 2025. In this article, we present a negative result on the hardware implementation of this reinforcement-learning-driven reasoning process in a physical neural network model in the presence of a reward external potential energy for a given reward. In this hardware implementation, the existence of a chain of thought in dynamics contradicts the Lyapunov stability of the system.