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That matches the arXiv author list. Results are framed as the authors' reports, and the auditability inference is labeled as an Escape Meridian interpretation.","excerpt":"Authors:Zongyuan Sun, Shuai Zhao, Yingjun Du, Ke Shu, Ziyue Zhu, Haoran Luo"},{"dimension":"summary","status":"uncertain","explanation":"The reading faithfully conveys the thesis that correct is not the same as supported, and it explains triples. However, the result paragraph depends on terms a general reader cannot decode: what a knowledge graph is, KGQA, 3B–4B (model size), and zero-shot cross-KG transfer. Small repair: add tooltip glosses for these. Also, the source says agents often answer correctly without the triples, not that they retrieve answers; aligning that wording would be smoother.","excerpt":"so agents often answer correctly without retrieving the supporting triples"},{"dimension":"date","status":"pass","explanation":"The originalPublished date of 2026-10-27 matches the arXiv v1 submission date. It is not the later feed date of 2026-10-29.","excerpt":"[Submitted on 27 Oct 2026]"},{"dimension":"support","status":"pass","explanation":"The claims about training data and rewards, FoG's three components, and the benchmark outcomes are all stated in the abstract. The auditability inference is explicitly conditional, labeled as interpretation, and tied to the source's own traceable-and-auditable framing. The question and limitations do not overreach the evidence.","excerpt":"their training data carries answers but not evidence, and their training rewards check the answer but not the retrieved evidence"},{"dimension":"media","status":"pass","explanation":"The selected media is the verified direct arXiv abstract page for this paper. It is the most direct way for a reader to access the source.","excerpt":null}],"createdAt":"2026-11-14T05:18:49.275Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}