Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment
Test-time scaling empowers Large Reasoning Models (LRMs) to tackle complex tasks via extensive Chain-of-Thought (CoT). However, this often induces the "overthinking" paradox, where redundant reasoning increases computational overhead without guaranteeing accuracy. Existing test-time efficiency optimization methods primarily fall into two categories: information-theoretic approaches, which are prone to "deceptive convergence" where low uncertainty masks hallucinations, and latent representation a
Record details
Published: 19 July 2026
Source: arXiv
Category: Research
Topics: Safety & alignment · Healthcare
Retrieved: 21 July 2026
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How to cite this record
ethics.ai (19 July 2026), “Is Your Model Thinking or Just Stagnating? PUMA: Diagnosing Reasoning Pathology via Phase-Momentum Alignment,” evidence record 12004, https://ethics.ai/record/12004 (originally published by arXiv).
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