{
  "id": 18435908,
  "title": "Test-Time Self-Play: Scaling without a Verifier",
  "url": "https://urgent.news/2026/11/05/test-time-self-play-scaling-without-a-verifier",
  "topic": "ai",
  "section": "AI",
  "published": "2026-11-05T03:07:02.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2611.07367v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Test-time scaling methods spend additional compute at deployment to improve a large language model's performance on a hard target problem. Most methods rely on a verifier that scores candidate solutions for correctness, using it to select among or refine the model's outputs. In many deployment regimes, however, a strong verifier on the target problem is unavailable. We introduce Test-Time…",
  "key_points": [],
  "editors_take": null,
  "illustration": null,
  "coverage": {
    "outlets": 2,
    "also_reported_by": [
      {
        "outlet": "SiliconANGLE",
        "title": "University AI’s biggest challenge? Scaling research without losing control",
        "url": "https://urgent.news/2026/11/04/university-ais-biggest-challenge-scaling-research-without-losing",
        "published": "2026-11-04T17:27:48.000Z"
      }
    ]
  },
  "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."
}