{
  "id": 4770758,
  "title": "Geometry of Divergence: Tracking Hidden-State Trajectories for Adaptive Multi-Turn Reasoning",
  "url": "https://urgent.news/2026/08/31/geometry-of-divergence-tracking-hidden-state-trajectories-for",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-31T11:51:54.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.30650v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLM agents need to sustain goal-consistent reasoning across long multi-turn interactions under strict resource constraints. However, as the multi-turn context accumulates, it can destabilize the underlying LLM's internal representation of task-relevant information from earlier turns, blurring the boundary between constructive reasoning and representation drift. We formulate multi-turn reasoning…",
  "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."
}