{
  "id": 17735899,
  "title": "Context as Infrastructure: Knowledge Compilation for Retrieval in Agentic Systems with Harnesses",
  "url": "https://urgent.news/2026/10/30/context-as-infrastructure-knowledge-compilation-for-retrieval-in",
  "topic": "ai",
  "section": "AI",
  "published": "2026-10-30T02:48:37.000Z",
  "source": {
    "name": "arXiv cs.AI",
    "slug": "arxiv-cs-ai",
    "url": "https://arxiv.org/abs/2610.41172v1"
  },
  "original_language": "en",
  "account": null,
  "summary": "Retrieval-augmented generation is becoming agentic. A search harness writes queries, reads results, reformulates, and decides when to stop. This largely solves accuracy: a harness with only BM25/grep and MiniMax M3 answers 85% of BrowseComp-Plus and 91% on multi-hop FRAMES in our runs, without compiled or vector indexes. It exposes a context problem: an undisciplined loop repeats queries, rereads…",
  "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."
}