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How Much Thinking is Enough? Quantifying and Understanding Redundancy in LLM Reasoning

arXiv cs.AI · 2026-05-26 Cached

This paper formalizes reasoning redundancy in LLMs as the fraction of trailing steps that can be truncated without affecting correctness, quantifying 61-93% redundancy across frontier models and proving that redundancy is a structural consequence of length-agnostic outcome rewards.

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