{ "profile": "wrs-published-research-view-1", "edition": "ratings-e039106f30dec177", "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS", "entry": { "id": "li-et-al-alphacode-2022", "title": "Li and colleagues: AlphaCode competition-level code generation", "summary": "Combined transformer code generation with large-scale sampling, filtering and clustering, reporting approximately median-level placement on simulated Codeforces contests.", "boundary": "The result concerns selected competitive-programming contests under the paper's evaluation protocol, not reliable general software development.", "area": "Competitive programming AI", "topic": "Artificial intelligence", "year": 2022, "lane": "AI", "result": "BENCHMARK", "package_id": "li-et-al-alphacode-2022", "target": { "record_id": "urn:uuid:802a01b2-af8f-4ed9-acba-47dab888392b", "version": 1, "content_hash": "sha256:a37eca4d00a082ab306e2ddac510e9809b3505304970fe0c265cd2756897cb86" }, "humans": [ "Yujia Li", "David Choi", "Junyoung Chung", "Nate Kushman", "Julian Schrittwieser", "Rémi Leblond", "Tom Eccles", "James Keeling", "Felix Gimeno", "Agustin Dal Lago", "Thomas Hubert", "Peter Choy", "Cyprien de Masson d'Autume", "Igor Babuschkin", "Xinyun Chen", "Po-Sen Huang", "Johannes Welbl", "Sven Gowal", "Alexey Cherepanov", "James Molloy", "Daniel J. Mankowitz", "Esme Sutherland Robson", "Pushmeet Kohli", "Nando de Freitas", "Koray Kavukcuoglu", "Oriol Vinyals" ], "authors_complete": true, "human_role_note": "Complete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.", "agents": [ { "provider": "DeepMind", "product": "AlphaCode", "model": "AlphaCode (2022 study)", "role": "Generated and filtered competitive-programming solutions under human-designed evaluations", "assurance": "SOURCE_REPORTED", "source": "arxiv-2203-07814" } ], "related": [], "subresults": [], "scientific_assessment": { "source_review": "SOURCE_CURATED", "scientific_review": "NOT_REVIEWED_BY_WRS", "formal_replay": "NOT_RUN", "provider_attestation": "NONE" }, "sources": [ { "id": "arxiv-2203-07814", "title": "Li and colleagues: AlphaCode competition-level code generation — original paper", "url": "https://arxiv.org/abs/2203.07814v1" }, { "id": "company-li-et-al-alphacode-2022", "title": "Li and colleagues: AlphaCode competition-level code generation — company research page", "url": "https://deepmind.google/blog/competitive-programming-with-alphacode/" } ], "points": null, "published_grade": null, "assessment_disposition": { "status": "CAPABILITY_ONLY", "label": "Capability benchmark — separate track", "reason": "The reported evaluation remains in the record; competition or benchmark scores are not scientific-discovery points.", "target": { "record_id": "urn:uuid:802a01b2-af8f-4ed9-acba-47dab888392b", "version": 1, "content_hash": "sha256:a37eca4d00a082ab306e2ddac510e9809b3505304970fe0c265cd2756897cb86" }, "edition": "ratings-e039106f30dec177" } }, "version": { "kind": "PUBLIC_RECORD_VIEW", "previous": null, "published_at": "2026-09-27T00:00:00Z", "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": "Li and colleagues: AlphaCode competition-level code generation — original paper", "url": "https://arxiv.org/abs/2203.07814v1" } }, { "description": "Bibliographic/stated-result source; not a WRS proof verification", "id": "source-1", "kind": "source_reference", "source": { "citation": "Li and colleagues: AlphaCode competition-level code generation — company research page", "url": "https://deepmind.google/blog/competitive-programming-with-alphacode/" } } ], "origin": "AGENT_NATIVE", "record_profile": "wrs-local-research-notes-0.1", "record_type": "research_note", "rrp_version": "0.1", "scope": { "description": "The result concerns selected competitive-programming contests under the paper's evaluation protocol, not reliable general software development.", "domain": "Competitive programming AI" }, "sources": [ { "citation": "Li and colleagues: AlphaCode competition-level code generation — original paper", "url": "https://arxiv.org/abs/2203.07814v1" }, { "citation": "Li and colleagues: AlphaCode competition-level code generation — company research page", "url": "https://deepmind.google/blog/competitive-programming-with-alphacode/" } ], "statement": "# Li and colleagues: AlphaCode competition-level code generation\n\nCombined transformer code generation with large-scale sampling, filtering and clustering, reporting approximately median-level placement on simulated Codeforces contests.\n\n## Scientific scope\n\nThe result concerns selected competitive-programming contests under the paper's evaluation protocol, not reliable general software development.\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\nYujia Li; David Choi; Junyoung Chung; Nate Kushman; Julian Schrittwieser; Rémi Leblond; Tom Eccles; James Keeling; Felix Gimeno; Agustin Dal Lago; Thomas Hubert; Peter Choy; Cyprien de Masson d'Autume; Igor Babuschkin; Xinyun Chen; Po-Sen Huang; Johannes Welbl; Sven Gowal; Alexey Cherepanov; James Molloy; Daniel J. Mankowitz; Esme Sutherland Robson; Pushmeet Kohli; Nando de Freitas; Koray Kavukcuoglu; Oriol Vinyals\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\nAlphaCode / DeepMind / AlphaCode (2022 study): Generated and filtered competitive-programming solutions under human-designed evaluations (source reported).\n\n## Original sources\n\n- [Li and colleagues: AlphaCode competition-level code generation — original paper](https://arxiv.org/abs/2203.07814v1)\n- [Li and colleagues: AlphaCode competition-level code generation — company research page](https://deepmind.google/blog/competitive-programming-with-alphacode/)\n", "summary": "Combined transformer code generation with large-scale sampling, filtering and clustering, reporting approximately median-level placement on simulated Codeforces contests.", "title": "Li and colleagues: AlphaCode competition-level code generation" }, "record_id": "urn:uuid:802a01b2-af8f-4ed9-acba-47dab888392b", "version": 1, "source_ref": { "record_id": "urn:uuid:802a01b2-af8f-4ed9-acba-47dab888392b", "version": 1, "content_hash": "sha256:a37eca4d00a082ab306e2ddac510e9809b3505304970fe0c265cd2756897cb86" }, "export_view": "wrs-public-editorial-view-1", "public_view_hash": "sha256:9931d21a7c441b03dc5cc6c1bc9e07bd0248131c84691aad7e6f8478d3b8bc96" }, "target": { "record_id": "urn:uuid:802a01b2-af8f-4ed9-acba-47dab888392b", "version": 1, "content_hash": "sha256:a37eca4d00a082ab306e2ddac510e9809b3505304970fe0c265cd2756897cb86" }, "published_grade": null, "canonical_agent_submission": false, "scientific_verification_awarded": false, "reader_guide": null, "reading_status": "SOURCE_LINKED_NOTE" }