{
  "id": 204401,
  "title": "Chained Recursive Language Models for Multi-Iteration Reasoning",
  "url": "https://urgent.news/2026/08/05/chained-recursive-language-models-for-multi-iteration-reasoning",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-05T17:50:08.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.05124v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long context reasoning in large language models (LLMs) is usually constrained by the fact that a single inference trajectory has to simultaneously explore the context, store intermediate state, verify evidence, and produce the final answer. This becomes particularly difficult in tasks that require extraction, counting, ordering, or multi-hop reasoning, where an early mistake can propagate until…",
  "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."
}