AI RESEARCH
Claim-Selective Certification for High-Risk Medical Retrieval-Augmented Generation
arXiv CS.CL
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ArXi:2605.21949v1 Announce Type: new Medical RAG systems in high-risk QA settings are often evaluated through a single answer-or-abstain decision, but mixed evidence may one claim, require conditions for another, and contradict a third. We study claim-selective certification: each response is decomposed into verifiable claims, scored against retrieved evidence, and mapped by an intent-aware selector to {full, partial, conflict, abstain