{
  "url": "https://appliedfrontier.nl/en/research/signal-9cc978369ebb3096/",
  "title": "Beyond the Library: An Agentic Framework for Autoformalizing Research Mathematics",
  "published": "2026-06-30",
  "excerpt": "While Large Language Models (LLMs) have demonstrated exceptional capabilities in mathematical reasoning, they frequently produce subtle errors that evade human detection. Formal mathematical languages like",
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  "artifact_links": [
    "https://arxiv.org/abs/2606.31134"
  ],
  "arxiv_id": "2606.31134",
  "id": "signal-9cc978369ebb3096",
  "org": "Research community",
  "topic": "Formal verification",
  "source_kind": "preprint",
  "status": "unreviewed-source-report",
  "analysis_method": "deterministic_metadata_triage_v1",
  "novelty_verified": false,
  "proof_checked": false,
  "peer_review_verified": false,
  "matched_terms": [
    "lean",
    "mathematical",
    "mathematics",
    "proof",
    "reasoning"
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  "checked_at": "2026-10-29T22:08:08+00:00",
  "first_seen": "2026-10-29T21:52:00+00:00",
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  "source_url": "https://arxiv.org/abs/2606.31134",
  "language": "en",
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}