{
  "url": "https://appliedfrontier.nl/en/research/signal-4bff3fecf6086922/",
  "title": "From Answer Generators to Reasoning Facilitators: Designing AI Tutors for Mathematical Reasoning in High-Stakes Environments",
  "published": "2026-07-02",
  "excerpt": "The rapid integration of Large Language Models (LLMs) into educational technology threatens to reduce mathematical learning to mere answer generation. This paper presents a generative",
  "content_sha256": "b51bdec8458d21540de36d3325dcd1d817a4fb6bb381bb5b855505b9769f715d",
  "extracted_chars": 1148,
  "artifact_links": [
    "https://arxiv.org/abs/2607.01692"
  ],
  "arxiv_id": "2607.01692",
  "id": "signal-4bff3fecf6086922",
  "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": "1a849ad478f3fdf0954a437ecd8302f714279bf76744e470884a6bb08b56d3d9",
  "source_url": "https://arxiv.org/abs/2607.01692",
  "language": "en",
  "indexing": "noindex_until_editorially_enriched"
}