{
  "id": 9256665,
  "title": "Capable yet Parsimonious: Extracting and Characterizing Hidden Chain-of-Thought in Frontier Models",
  "url": "https://urgent.news/2026/09/22/capable-yet-parsimonious-extracting-and-characterizing-hidden-chain",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-22T16:10:18.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.26637v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "The rapid capability gains of frontier language models are widely attributed to improved reasoning abilities, yet this cannot be verified as raw CoT traces in closed-source systems are hidden. By registering a simple custom tool through a standard API feature, we induce frontier models to externalize intermediate reasoning. Because these traces may reflect post-hoc rationalization rather than…",
  "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."
}