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  "story": {
    "story_id": "mp-2026-10-02-004",
    "source_story_id": "tmp-story-scholarcatalyst-research-retrieval",
    "edition_id": "mp-2026-10-02-morning-0085",
    "edition_url": "https://themachinepress.com/edition/2026-10-02",
    "position": 4,
    "story_type": "dispatch",
    "section": "benchmarks-evals",
    "editorial_classification": "editorial",
    "headline": "Agentic Search Missed the Papers Scientists Said Inspired Them",
    "slug": "agentic-search-missed-the-papers-scientists-said-inspired-them",
    "dek": "Embedding retrieval reached 0.48 Recall@20; an agent calling that retriever scored 0.42.",
    "summary": "Embedding retrieval reached 0.48 Recall@20; an agent calling that retriever scored 0.42.",
    "body_text": "ScholarCatalyst asked 184 lead authors of 207 computer-science papers which earlier work did or could have advanced their projects, with rationales and a time-bounded literature pool. Agentic search reached 0.42 Recall@20, below embedding retrieval at 0.48, while the strongest tested agent reached 0.51 despite possible training exposure to completed papers. The benchmark turns scientific inspiration into an author-judged retrieval task; it does not establish that the labeled papers were the only valid catalysts.",
    "why_it_matters": "Embedding retrieval reached 0.48 Recall@20; an agent calling that retriever scored 0.42.",
    "limitations": [
      "The benchmark turns scientific inspiration into an author-judged retrieval task; it does not establish that the labeled papers were the only valid catalysts."
    ],
    "importance": 8,
    "canonical_url": "https://themachinepress.com/story/mp-2026-10-02-004/agentic-search-missed-the-papers-scientists-said-inspired-them",
    "json_url": "https://themachinepress.com/story/mp-2026-10-02-004.json",
    "first_published_at": "2026-10-02T09:00:00.000-04:00",
    "modified_at": "2026-10-02T09:00:00.000-04:00",
    "content_status": "new",
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        "text": "Embedding retrieval reached 0.48 Recall@20; an agent calling that retriever scored 0.42.",
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          "source-2026-10-02-004"
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        "qualification": "The benchmark turns scientific inspiration into an author-judged retrieval task; it does not establish that the labeled papers were the only valid catalysts."
      }
    ],
    "source_ids": [
      "source-2026-10-02-004"
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    "tags": [
      "scientific agents",
      "paper retrieval",
      "benchmark"
    ],
    "image_url": null,
    "corrections": []
  },
  "sources": [
    {
      "source_id": "source-2026-10-02-004",
      "title": "arXiv preprint 2610.02202",
      "publisher": "arXiv",
      "url": "https://arxiv.org/abs/2610.02202",
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      "source_type": "primary_research",
      "is_primary_source": true,
      "published_at": "2026-10-01T13:59:47.000-04:00",
      "accessed_at": "2026-10-02T08:44:06.000-04:00",
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  "corrections": [],
  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Agentic Search Missed the Papers Scientists Said Inspired Them",
    "publisher": "The Machine Press",
    "published_at": "2026-10-02T09:00:00.000-04:00",
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