{
  "id": 10338665,
  "title": "Mutable Transcripts: Mitigating Context Pollution through Editable Conversation State",
  "url": "https://urgent.news/2026/09/25/mutable-transcripts-mitigating-context-pollution-through-editable",
  "topic": "ai",
  "section": "AI",
  "published": "2026-09-25T14:51:49.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2609.31354v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Contemporary large language model (LLM) chat systems treat conversation history as an immutable sequence of turns that defines the model's working context. However, user intent in real interactions is not static: it evolves through correction, refinement, and shifting constraints. This mismatch between dynamic intent and static transcripts can result in context pollution, where outdated or…",
  "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."
}