{
  "id": 158340,
  "title": "Test-Time Scaling in Reasoning LLMs: Inference Regimes, Evaluation, and Reproducibility",
  "url": "https://urgent.news/2026/08/04/test-time-scaling-in-reasoning-llms-inference-regimes-evaluation-and",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-04T17:57:20.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.04001v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Large language models can solve substantially harder reasoning problems with more inference-time compute. The term \"test-time scaling,\" however, now covers diverse inference algorithms that extend deliberation along a single trajectory, sample completed candidates and aggregate them through voting or verification, or search over unfinished partial states. These algorithms differ in their…",
  "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."
}