When Relevance Is Not Enough: Minimal Support Recovery for Faithful RAG Reasoning
Retrieval-augmented generation (RAG) can make large language model outputs more traceable by conditioning generation on retrieved evidence. However, retrieving relevant-looking evidence is not the same as retrieving the complete support needed for reasoning. In multi-step reasoning tasks, a retriever may return rules t...