{
  "id": 18717,
  "url": "https://arxiv.org/abs/2608.11803",
  "title": "Silent Updates: Measuring and Closing the Post-Deployment Disclosure Gap",
  "summary": "arXiv:2608.11803v1 Announce Type: new Abstract: 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 cus",
  "authors": "Sophia Abraham, Ben Bucknall",
  "category": "research",
  "topics": "regulation,transparency",
  "orgs": null,
  "regions": null,
  "published_at": "2026-08-13T04:00:00.000Z",
  "fetched_at": "2026-08-13T05:10:37.786Z",
  "source_slug": "arxiv-cscy",
  "source_name": "arXiv cs.CY",
  "source_homepage": "https://arxiv.org/list/cs.CY/recent",
  "ethics_ai_record_url": "https://ethics.ai/record/18717",
  "original_url": "https://arxiv.org/abs/2608.11803",
  "evidence_status": "source-only",
  "attribution": "via ethics.ai"
}