AI RESEARCH
Conformal Certification of Reasoning Trace Prefixes
arXiv CS.AI
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ArXi:2605.30085v1 Announce Type: new Language model reasoning traces are rarely all-or-nothing; they frequently contain valid intermediate steps before a critical error occurs. Existing uncertainty quantification methods typically certify final answers or entire responses, failing to provide statistical guarantees for the proportion of a sequential trace that can be safely retained. To address this, we