{
  "id": 18788,
  "url": "https://arxiv.org/abs/2608.11803v1",
  "title": "Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap",
  "summary": "Deployed foundation models are often not static systems, with providers able to modify system behavior through fine-tuning, classifier updates, system prompt revisions, retrieval changes, and routing changes. These updates can be made silently -- that is, without public disclosure, a version increment, or re-evaluation. Such silent updates challenge a core assumption behind current AI governance frameworks that an externally verifiable chain of custody links the model referred to in evaluation r",
  "authors": "Sophia Abraham, Ben Bucknall",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-12T08:45:49.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-ethics",
  "source_name": "arXiv",
  "source_homepage": "https://arxiv.org",
  "ethics_ai_record_url": "https://ethics.ai/record/18788",
  "original_url": "https://arxiv.org/abs/2608.11803v1",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}