{
  "url": "https://appliedfrontier.nl/en/research/signal-80d161c95bfe2815/",
  "title": "EnvOS: Auditing Computer-Use Agents When the World Moves On : Phenomenon-Based Task Construction, Certification, and Evidence-Based Evaluation",
  "published": "2026-10-29",
  "excerpt": "Computer-use agents built on large language models (LLMs) work in software that can change while they act: an appointment moves, a policy is revised, a",
  "content_sha256": "6b0d4551e2bb209df57e8412bbb244e6b96f28e0060c79432dd149d641ceb449",
  "extracted_chars": 1899,
  "artifact_links": [
    "https://arxiv.org/abs/2610.40246"
  ],
  "arxiv_id": "2610.40246",
  "extraction_scope": "preprint_abstract_metadata",
  "full_text_available": false,
  "id": "signal-80d161c95bfe2815",
  "org": "Research community",
  "topic": "Agent systems",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_research_triage_v2",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "Agent systems"
  ],
  "checked_at": "2026-10-31T19:32:55+00:00",
  "first_seen": "2026-10-31T19:32:55+00:00",
  "source_hash": "3e3f39a07687dabc3d8da66dba298a4d1fd80d8cb10cf088f5cbb53e2d21f1d4",
  "source_url": "https://arxiv.org/abs/2610.40246",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}