{
  "id": 158339,
  "title": "TurnSight: Turn-Level Hindsight Self-Distillation for Tool-Integrated Reasoning",
  "url": "https://urgent.news/2026/08/04/turnsight-turn-level-hindsight-self-distillation-for-tool-integrated",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-04T17:59:21.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.04007v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Tool-Integrated Reasoning (TIR) enables LLMs to solve complex tasks through iterative tool interactions. However, existing reinforcement learning methods often rely on trajectory-level supervision, limiting fine-grained credit assignment in long-horizon TIR scenarios. On-policy self-distillation offers denser signals through teacher branches with privileged context, but existing approaches…",
  "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."
}