{
  "id": 429408,
  "title": "TEPA: Revoking Stale Memories for Conflict-Robust Language Agents",
  "url": "https://urgent.news/2026/08/07/tepa-revoking-stale-memories-for-conflict-robust-language-agents",
  "topic": "ai",
  "section": "AI",
  "published": "2026-08-07T17:16:33.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2608.07429v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Long-term memory enables language agents to reuse past facts, preferences, and task experience. Persistence also creates a central falsifiability problem: when the world changes, stale memories can remain retrievable and pollute the prompt. We characterize this failure mode as memory pollution: degradation caused by active memories that newer conflicting evidence has superseded. We introduce…",
  "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."
}