Sentence-Level Context Sensitivity as a Training-Free Detector of Unsupported Content, Evaluated Against Trained Verifiers

arXiv:2607.04223v2 Announce Type: replace-cross Abstract: Retrieval-augmented generation (RAG) assistants summarize records in clinical and legal work, where one unsupported sentence can mislead a reader. The contrast between an output's likelihood with and without its source is an established faithfulness score for whole summaries and answers, but it has not been measured as a detector of the individual unsupported sentence in multi-passage RAG answers, against trained verifiers, or for its cost. We implement it as a training-free detector that re-scores a fixed answer under the full context,

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