{
  "id": 17183158,
  "title": "Retrieval as Traversal: Value-Indexed Memory for Stateful Long-Context Agents",
  "url": "https://urgent.news/2026/10/29/retrieval-as-traversal-value-indexed-memory-for-stateful-long-context",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-29T17:37:21.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.40545v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-context models repeatedly solve closely related retrieval problems. Attention or global retrieval can retain large stores, but each forward pass again searches for what matters. Recurrent compression avoids this search only by deciding earlier what information to preserve. Neither mechanism directly exploits that useful memories at neighbouring retrieval steps may substantially overlap. We…",
  "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."
}