{
  "profile": "wrs-published-research-view-1",
  "edition": "ratings-e039106f30dec177",
  "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS",
  "entry": {
    "id": "ai-guided-mathematics",
    "title": "AI guides new mathematical intuition",
    "summary": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures.",
    "boundary": "The package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.",
    "area": "Mathematics",
    "topic": "Mathematics & logic",
    "year": 2021,
    "lane": "AI",
    "result": "EMPIRICAL",
    "package_id": "ai-guided-mathematics",
    "target": {
      "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
      "version": 1,
      "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
    },
    "humans": [
      "Alex Davies",
      "Petar Veličković",
      "Lars Buesing",
      "Sam Blackwell",
      "Daniel Zheng",
      "Nenad Tomašev",
      "Richard Tanburn",
      "Peter Battaglia",
      "Charles Blundell",
      "András Juhász",
      "Marc Lackenby",
      "Geordie Williamson",
      "Demis Hassabis",
      "Pushmeet Kohli"
    ],
    "authors_complete": true,
    "human_role_note": "Full byline of the specified publication; original laboratory roles remain in the source.",
    "agents": [
      {
        "provider": "Google DeepMind",
        "product": "AI-guided mathematical intuition",
        "model": "Supervised neural networks described in the paper",
        "role": "Pattern discovery and feature attribution; human conjecture development and proof",
        "assurance": "SOURCE_REPORTED",
        "source": "expansion-ai-guided-mathematics"
      }
    ],
    "related": [],
    "subresults": [],
    "scientific_assessment": {
      "source_review": "SOURCE_CURATED",
      "scientific_review": "NOT_REVIEWED_BY_WRS",
      "formal_replay": "NOT_RUN",
      "provider_attestation": "NONE"
    },
    "sources": [
      {
        "id": "expansion-ai-guided-mathematics",
        "title": "Advancing mathematics by guiding human intuition with AI",
        "url": "https://www.nature.com/articles/s41586-021-04086-x"
      },
      {
        "id": "metadata-ai-guided-mathematics",
        "title": "Publisher-deposited byline: Advancing mathematics by guiding human intuition with AI",
        "url": "https://api.crossref.org/works/10.1038%2Fs41586-021-04086-x"
      }
    ],
    "geography": {
      "country_codes": [
        "GB",
        "AU"
      ],
      "location_basis": "1 grid.498210.6 0000 0004 5999 1726 DeepMind, London, UK; 2 grid.4991.5 0000 0004 1936 8948 University of Oxford, Oxford, UK; 3 grid.1013.3 0000 0004 1936 834X University of Sydney, Sydney, New South Wales Australia",
      "source_url": "https://europepmc.org/articles/PMC8636249",
      "target": {
        "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
        "version": 1,
        "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
      },
      "basis": "RESEARCH_LOCATION_OR_PAPER_AFFILIATION",
      "reviewed_on": "2026-09-12",
      "nationality_inferred": false,
      "coverage_status": "COMPLETE",
      "country_labels": {
        "GB": "United Kingdom",
        "AU": "Australia"
      }
    },
    "points": "10000",
    "published_grade": {
      "id": "ai-guided-mathematics",
      "entry_id": "ai-guided-mathematics",
      "band": "B",
      "modifier": null,
      "target": {
        "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
        "version": 1,
        "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
      },
      "what_changed": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures.",
      "scope": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures. Scope limitation: The package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.",
      "status": "PROVISIONAL_EDITORIAL",
      "scientific_correctness_certified": false
    },
    "assessment_disposition": {
      "status": "ASSESSED",
      "label": "Provisionally assessed",
      "reason": "A current grade and separate reference score identify this exact contribution.",
      "target": {
        "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
        "version": 1,
        "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
      },
      "edition": "ratings-e039106f30dec177"
    }
  },
  "version": {
    "kind": "PUBLIC_RECORD_VIEW",
    "previous": null,
    "published_at": "2026-09-12T00:00:00Z",
    "publisher": {
      "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33",
      "role": "WRS_EDITORIAL_PUBLICATION"
    },
    "record": {
      "contributors": [],
      "evidence": [
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-0",
          "kind": "source_reference",
          "source": {
            "citation": "Advancing mathematics by guiding human intuition with AI",
            "url": "https://www.nature.com/articles/s41586-021-04086-x"
          }
        },
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-1",
          "kind": "source_reference",
          "source": {
            "citation": "Publisher-deposited byline: Advancing mathematics by guiding human intuition with AI",
            "url": "https://api.crossref.org/works/10.1038%2Fs41586-021-04086-x"
          }
        }
      ],
      "origin": "AGENT_NATIVE",
      "record_profile": "wrs-local-research-notes-0.1",
      "record_type": "research_note",
      "rrp_version": "0.1",
      "scope": {
        "description": "The package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.",
        "domain": "Mathematics"
      },
      "sources": [
        {
          "citation": "Advancing mathematics by guiding human intuition with AI",
          "url": "https://www.nature.com/articles/s41586-021-04086-x"
        },
        {
          "citation": "Publisher-deposited byline: Advancing mathematics by guiding human intuition with AI",
          "url": "https://api.crossref.org/works/10.1038%2Fs41586-021-04086-x"
        }
      ],
      "statement": "# AI guides new mathematical intuition\n\nUsed learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures.\n\n## Scientific scope\n\nThe package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.\n\n## Reading status\n\nThis is a source-linked WRS catalogue note. A full explanatory guide and independent scientific reconstruction have not been completed for this entry. Read the identified original work for its complete narrative and arguments.\n\n## People and systems\n\nAlex Davies; Petar Veličković; Lars Buesing; Sam Blackwell; Daniel Zheng; Nenad Tomašev; Richard Tanburn; Peter Battaglia; Charles Blundell; András Juhász; Marc Lackenby; Geordie Williamson; Demis Hassabis; Pushmeet Kohli\n\nFull byline of the specified publication; original laboratory roles remain in the source.\n\nAI-guided mathematical intuition / Google DeepMind / Supervised neural networks described in the paper: Pattern discovery and feature attribution; human conjecture development and proof (source reported).\n\n## Original sources\n\n- [Advancing mathematics by guiding human intuition with AI](https://www.nature.com/articles/s41586-021-04086-x)\n- [Publisher-deposited byline: Advancing mathematics by guiding human intuition with AI](https://api.crossref.org/works/10.1038%2Fs41586-021-04086-x)\n",
      "summary": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures.",
      "title": "AI guides new mathematical intuition"
    },
    "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
    "version": 1,
    "source_ref": {
      "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
      "version": 1,
      "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
    },
    "export_view": "wrs-public-editorial-view-1",
    "public_view_hash": "sha256:25d479c3007a63c5813a72d263c0eec3c3058b5eded8c0e57fa864411fc6e7ba"
  },
  "target": {
    "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
    "version": 1,
    "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
  },
  "published_grade": {
    "profile": "wrs-published-grade-1",
    "edition": "2026-10-28.1",
    "id": "ai-guided-mathematics",
    "entry_id": "ai-guided-mathematics",
    "revision": 1,
    "title": "AI guides new mathematical intuition",
    "context": "Mathematics",
    "track": "Scoped scientific or research-capability contribution",
    "band": "B",
    "modifier": null,
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-09-14",
    "evidence_cutoff": "2026-09-14",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures.",
    "scope": "Used learned patterns and attribution to guide human research in knot theory and representation theory, leading to new mathematical relationships and conjectures. Scope limitation: The package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.",
    "evidence_summary": "Assessment uses the catalogue-linked source evidence for the stated contribution. The package contains distinct proven and conjectural outcomes. Model predictions are not proofs; human mathematicians developed the arguments and corrected an initial knot conjecture.",
    "references": [
      {
        "title": "Advancing mathematics by guiding human intuition with AI",
        "url": "https://www.nature.com/articles/s41586-021-04086-x",
        "locator": "Retained catalogue source evidence; Published abstract or selected source passages and bibliographic identity read; not a full proof or experimental replication."
      },
      {
        "title": "Publisher-deposited byline: Advancing mathematics by guiding human intuition with AI",
        "url": "https://api.crossref.org/works/10.1038%2Fs41586-021-04086-x",
        "locator": "Retained catalogue source evidence; Complete deposited byline retained locally with a checksum; bibliographic evidence only."
      }
    ],
    "roles": [
      {
        "who": "The research collaboration listed in the linked record and source byline",
        "credit": "SCIENCE",
        "did": "Collective scoped contribution. The complete recorded byline remains in the research record; this label does not collapse people into one individual."
      },
      {
        "who": "The systems documented in the research record",
        "credit": "EXECUTION",
        "did": "Source-reported system assistance within this scope; no provider attestation or independent agency is inferred."
      }
    ],
    "target": {
      "record_id": "urn:uuid:c40f1053-0783-411f-af2f-56efbe93fc1f",
      "version": 1,
      "content_hash": "sha256:64240d8a4d829e027e995d0abf9027d37c4fbfac3ade60a12d44ac6c1dda96a6"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "10000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}
