{
  "id": 12526399,
  "title": "ParanoiaEval: Benchmarking Unnecessary Defensive Work in Agentic Coding",
  "url": "https://urgent.news/2026/10/06/paranoiaeval-benchmarking-unnecessary-defensive-work-in-agentic-coding",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-06T16:46:14.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.08662v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "As coding agents increasingly undertake real-world work autonomously, judging whether their risk treatments are warranted has become important. Existing work evaluates related agent behaviors from separate perspectives, but lacks a systematic framework for unifying these behaviors. To bridge this gap, we introduce ParanoiaEval, the first benchmark for unified evaluation of risk-treatment…",
  "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."
}