claim-selective

This paper proposes claim-selective certification for high-risk medical retrieval-augmented generation (RAG), decomposing responses into verifiable claims and scoring them against evidence to produce actions (full, partial, conflict, abstain) using an intent-aware selector, achieving low unsupported-claim risk and high action accuracy.