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    "story_id": "mp-2026-08-24-026",
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    "headline": "The Search Agent Let Coverage Decide How Many Documents to Keep",
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    "dek": "CAS replaces fixed top-K retrieval with adaptive prediction sets and penalizes low-confidence training trajectories.",
    "summary": "CAS replaces fixed top-K retrieval with adaptive prediction sets and penalizes low-confidence training trajectories.",
    "body_text": "The framework applies conformal methods on both sides of search-agent training: document sets expand or contract to target coverage, while answer confidence weights the GRPO objective. The preprint reports higher reasoning accuracy and fewer redundant tool calls across single- and multi-hop QA datasets.",
    "why_it_matters": "CAS replaces fixed top-K retrieval with adaptive prediction sets and penalizes low-confidence training trajectories.",
    "limitations": [],
    "importance": 8,
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    "tags": [
      "agentic search",
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      "retrieval"
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  "sources": [
    {
      "source_id": "source-2026-08-24-015",
      "title": "arXiv preprint 2608.20771",
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      "published_at": "2026-08-21T02:29:52.000-04:00",
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    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "The Search Agent Let Coverage Decide How Many Documents to Keep",
    "publisher": "The Machine Press",
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