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News/PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning
arxiv
PublishedOctober 16, 2026 at 4:00 AM

PathCal: State-Aware Reflection-Marker Calibration for Efficient Reasoning

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arXiv:2605.23074v2 Announce Type: replace Abstract: Large Reasoning Language Models (LRMs) tackle complex tasks through test-time scaling, generating long-form Chain-of-Thought (CoT) trajectories during inference. These trajectories contain reflection markers such as wait, but, and alternatively, ac

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