{
  "id": 15538079,
  "title": "Beyond Marginal Influence: Interaction-Aware Memory Selection for LLM Agents",
  "url": "https://urgent.news/2026/10/16/beyond-marginal-influence-interaction-aware-memory-selection-for-llm",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-16T10:37:47.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.23266v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "LLM-agent memory selection often uses retrieval rankings based on record relevance or individual influence. Such rankings cannot identify sufficient subsets under redundant or jointly necessary evidence. We study per-decision memory sufficiency: selecting a small subset that preserves full-memory behavior. To separate search error from model error, we introduce JointCoreBench, a benchmark with…",
  "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."
}