{
  "id": 15538070,
  "title": "From Memory Hits to Answerable Evidence: Query-Conditioned Memory Compilation for Long-Term Agent Memory",
  "url": "https://urgent.news/2026/10/16/from-memory-hits-to-answerable-evidence-query-conditioned-memory",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T11:15:29.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.23313v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-term agent memory requires recovering answer-relevant evidence dispersed across turns and sessions. Existing systems increasingly use structured memories and adaptive retrieval, yet often pass retrieved or expanded units directly to the reader, coupling memory addressing with evidence presentation and leaving the final context redundant or incomplete. To address this gap, we propose…",
  "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."
}