{
  "url": "https://appliedfrontier.nl/en/research/signal-ecfd7a0421bf4f9e/",
  "title": "Learning to Use Tools: Reinforcement Learning for Tool-Integrated Mathematical Reasoning",
  "published": "2026-08-28",
  "excerpt": "Current large language models (LLMs) increasingly benefit from external tool integration, especially for tasks requiring reliable computation and verification. Motivated by this, we study calculator",
  "content_sha256": "371c5c5c94a3e5a252451a535e8c4389a68a1fcee9507336392604ace8474768",
  "extracted_chars": 1416,
  "artifact_links": [
    "https://arxiv.org/abs/2608.28447"
  ],
  "arxiv_id": "2608.28447",
  "id": "signal-ecfd7a0421bf4f9e",
  "org": "Research community",
  "topic": "Mathematical reasoning",
  "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": [
    "mathematical",
    "reasoning"
  ],
  "checked_at": "2026-10-29T22:08:08+00:00",
  "first_seen": "2026-10-29T21:52:00+00:00",
  "source_hash": "dda7f2f894d8ae3cb64499953c2f19950f23e0db650d26aa30f0c2018d636076",
  "source_url": "https://arxiv.org/abs/2608.28447",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}