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checked by Luna."}],"sourceMedia":{"status":"not_found","sourceUrl":"https://arxiv.org/abs/2611.11841","checkedAt":"2026-11-12T06:50:09.002Z","items":[],"note":"No suitable media was found by the supported page extraction."},"editorialDecision":{"outcome":"accept","reasonCodes":["useful_perspective"],"rubricVersion":"stream-admission-v6","mediaId":"d2007dcfed930467b19702eab7553ef261527b52399b22d18c8eec4a3cb724f4","confidence":0.52,"provider":"typesafe","model":"jev-1.13.0","inputHash":"364734f07e1752abe91bafa6ae7d685c26a9fa739f020f2fcdabeb51f5ee7f4e","decidedAt":"2026-11-12T05:34:34.429Z"},"provenance":{"textHash":"1ed89ebaa212a0146ec44e90ad4086f19776d7a255a7423a19503032589ca1e5","observationId":"b22a9b647699ca1f1e1fe01f1b0913a7133f9f8d516863d4f5ee66ccf507fb9f","retrievedAt":"2026-11-12T05:34:32.015Z","kind":"publisher-page","preparer":{"model":"gpt-6-luna","runId":"a777f885-3af8-431d-8934-e1d81d9434d5"},"reviewer":{"model":"gpt-6-luna","runId":"7d71c733-8eb1-4fb3-88c1-168fb86a0cbf"}},"audit":{"status":"uncertain","reviewedAt":"2026-11-12T05:46:22.452Z","model":"anthropic/claude-opus-5.5"},"sourceAttribution":{"authors":[{"name":"Uchiba, Takayuki","url":null,"kind":"unknown"},{"name":"Miyazaki, Kunihiro","url":null,"kind":"unknown"}],"authorRole":"article-author","hosts":[],"status":"stated","authorRoster":{"truncated":false,"omitted":0,"assertionGroupsOmitted":0},"participation":[{"actor":{"name":"Uchiba, Takayuki","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Uchiba, Takayuki","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2611.11841","locator":"head/meta[name=author|citation_author]"},"assertionId":"492daada60136ebf91f34e877f2e053066e6e4278c67bbdd609bd40afb0ac46e:participation:0","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-12T06:50:09.002Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"492daada60136ebf91f34e877f2e053066e6e4278c67bbdd609bd40afb0ac46e","sourceUrl":"https://arxiv.org/abs/2611.11841","contentSha256":"6ec3e8cff5a98d1bb88bea0df6ecb5c2bea249b0a7df3c8feb897fce51c06273","textHash":"1ed89ebaa212a0146ec44e90ad4086f19776d7a255a7423a19503032589ca1e5","observedAt":"2026-11-12T06:50:09.002Z"}},{"actor":{"name":"Miyazaki, Kunihiro","url":null,"kind":"unknown","actorId":null},"role":"author","scope":{"kind":"work-credit","locator":null},"literalCredit":"Miyazaki, Kunihiro","status":"stated","provenance":{"basis":"head-meta","sourceUrl":"https://arxiv.org/abs/2611.11841","locator":"head/meta[name=author|citation_author]"},"assertionId":"492daada60136ebf91f34e877f2e053066e6e4278c67bbdd609bd40afb0ac46e:participation:1","identity":{"version":"entity-identity-v1","status":"unresolved","actorId":null,"canonicalActorId":null,"candidateActorIds":[],"assertions":[],"sourceObservedAt":"2026-11-12T06:50:09.002Z","knowledgeAsOf":null},"sourceVersion":{"snapshotId":"492daada60136ebf91f34e877f2e053066e6e4278c67bbdd609bd40afb0ac46e","sourceUrl":"https://arxiv.org/abs/2611.11841","contentSha256":"6ec3e8cff5a98d1bb88bea0df6ecb5c2bea249b0a7df3c8feb897fce51c06273","textHash":"1ed89ebaa212a0146ec44e90ad4086f19776d7a255a7423a19503032589ca1e5","observedAt":"2026-11-12T06:50:09.002Z"}}],"participationCoverage":{"total":2,"returned":2,"complete":true,"fullAssertions":"source-metadata-endpoint"},"distribution":null,"publisher":null,"sourceUrl":"https://arxiv.org/abs/2611.11841","snapshotId":"492daada60136ebf91f34e877f2e053066e6e4278c67bbdd609bd40afb0ac46e","contentSha256":"6ec3e8cff5a98d1bb88bea0df6ecb5c2bea249b0a7df3c8feb897fce51c06273","textHash":"1ed89ebaa212a0146ec44e90ad4086f19776d7a255a7423a19503032589ca1e5","observedAt":"2026-11-12T06:50:09.002Z","basis":"publisher-page-metadata","sourceLinks":42,"linksTruncated":false,"metadataUrl":"/api/pipeline/stream/d65047e8fc946015ebb2108e24e16e5ea309d14dea9719f53a3811dd50058848/source"}}}],"audits":[{"publicationId":"8285331f-88ea-41e7-8f5b-82f125decc91","verdict":"uncertain","findings":[{"dimension":"attribution","status":"pass","explanation":"The reading correctly credits the study to Takayuki Uchiba and Kunihiro Miyazaki and frames the findings as the authors' reports rather than established facts.","excerpt":"Authors:Takayuki Uchiba, Kunihiro Miyazaki"},{"dimension":"summary","status":"uncertain","explanation":"The central result lacks its comparator. The draft says negative procedural evaluations were 'higher on average' but never says higher than technical evaluations, and it drops the 19.4-point gap and interval. It never says the posts were classified by an LLM ('LLM-assisted extraction'), so the caveat about 'repeated extraction' and the 'aggregate contrast' is opaque. 'Target--aspect--stance triples' is only loosely explained. Smallest repair: state that the posts were LLM-classified, give the comparison against technical evaluations with the reported figures, and briefly gloss triples as what is discussed, the property assessed and the author's evaluation.","excerpt":"LLM-assisted extraction identifies 1,191 AI-for-mathematics posts by 101 accounts."},{"dimension":"date","status":"pass","explanation":"The originalPublished date, 2026-11-09, matches the v1 submission date. The feed date of November 10 is correctly not used.","excerpt":"[Submitted on 9 Nov 2026]"},{"dimension":"support","status":"pass","explanation":"Each claim is directly supported by the abstract excerpts. The limitations accurately reflect the scope of the roster and the variability of extraction. The question follows from the stated extraction caveat without adding new assertions.","excerpt":"Repeated extraction varies substantially at the level of individual triples, although replacing the repeated sample preserves the aggregate contrast."},{"dimension":"media","status":"pass","explanation":"The selected media is the verified arXiv abstract page itself, which is the direct original source.","excerpt":null}],"createdAt":"2026-11-12T05:46:22.452Z","model":"anthropic/claude-opus-5.5"}],"correctionUrl":"https://escapemeridian.com/corrections/"}