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Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning

Paper recorded by Signals 4 on 2026-09-08 in cs.LG. Abstract reproduced from arXiv; link to the original below.

Published 2026-09-08 on arXiv · recorded by Signals 4 on 2026-09-09

Category: cs.LG · 机器学习 · first seen 2026-09-09

Abstract

Chain-of-thought reasoning provides a structured computation between a model's input and final answer. Yet it is often evaluated through endpoint accuracy, which ignores the path taken to reach that answer. An emerging line of work addresses this limitation using entropy profiles, which track how uncertainty evolves over the reasoning process but do not reveal which competing hypotheses account fo

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#103 most recent of 215 cs.LG papers we have recorded · ↑ newer: Do Reasoning Representations Help Humans Evaluate LLM Outputs? · ↓ older: Closed-Form of the Local Galactic Potential and Stellar Distribution F
Cite this page: Answer-Distribution Trajectories: A Stochastic-Dynamics View of LLM Reasoning: the #103 most recent of 215 cs.LG papers we have recorded (as of 2026-09-08). Source: Signals 4 (Signals API) — https://data.jiangzhang.ca/signals4/t/papers/answer-distribution-trajectories-a-stochastic-dynamics-view-of-llm-reasoning.html
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