Same Question, Different Source, Different Answer: Auditing Source-Dependence in Medical Multi-Source RAG

ArXi:2605.29084v1 Announce Type: cross A retrieval-augmented generation (RAG) system deployed over a multi-author institutional corpus can give a different answer to the same question depending on which source it retrieves -- a failure mode the dominant single-gold-answer paradigm cannot diagnose. We argue that source-dependence is a missing axis of NLP evaluation, and that auditing it means shifting the unit of evaluation from answer correctness to the inter-source relationship.