{
  "id": 11339931,
  "title": "Verify Claims, Not Scores: Evidence-Based Verification of Modular Agents",
  "url": "https://urgent.news/2026/10/01/verify-claims-not-scores-evidence-based-verification-of-modular-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-01T09:17:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.01348v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "When developers change one component of an agent, such as its controller, a learned model or its verifier, they usually judge the change by an aggregate task score. That score cannot tell whether improvement was attainable, which component lost value, or what the agent's own checks certify. We introduce a claim-specific verification audit for modular agents that plan, act, check and refine.…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 1,
    "also_reported_by": []
  },
  "ai_generated": true,
  "disclaimer": "Summaries, key points and the editor’s take are written by software from other outlets’ reporting and may contain errors — always check the linked original."
}