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      "statement": "# Chen and colleagues: Codex code generation and HumanEval\n\nEvaluated GPT-family models fine-tuned on code and introduced HumanEval, a benchmark of Python programming problems tested for functional correctness.\n\n## Scientific scope\n\nCodex and HumanEval form one paper-level package. Benchmark pass rates do not show reliable software engineering across real repositories.\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\nMark Chen; Jerry Tworek; Heewoo Jun; Qiming Yuan; Henrique Ponde de Oliveira Pinto; Jared Kaplan; Harri Edwards; Yuri Burda; Nicholas Joseph; Greg Brockman; Alex Ray; Raul Puri; Gretchen Krueger; Michael Petrov; Heidy Khlaaf; Girish Sastry; Pamela Mishkin; Brooke Chan; Scott Gray; Nick Ryder; Mikhail Pavlov; Alethea Power; Lukasz Kaiser; Mohammad Bavarian; Clemens Winter; Philippe Tillet; Felipe Petroski Such; Dave Cummings; Matthias Plappert; Fotios Chantzis; Elizabeth Barnes; Ariel Herbert-Voss; William Hebgen Guss; Alex Nichol; Alex Paino; Nikolas Tezak; Jie Tang; Igor Babuschkin; Suchir Balaji; Shantanu Jain; William Saunders; Christopher Hesse; Andrew N. Carr; Jan Leike; Josh Achiam; Vedant Misra; Evan Morikawa; Alec Radford; Matthew Knight; Miles Brundage; Mira Murati; Katie Mayer; Peter Welinder; Bob McGrew; Dario Amodei; Sam McCandlish; Ilya Sutskever; Wojciech Zaremba\n\nComplete named paper byline. Human research, source-reported system execution and experimental validation are distinct; individual effort shares are not measured.\n\n\n\n## Original sources\n\n- [Chen and colleagues: Codex code generation and HumanEval — original paper](https://arxiv.org/abs/2107.03374v2)\n- [Chen and colleagues: Codex code generation and HumanEval — company research page](https://openai.com/research/index/milestone/)\n",
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    "edition": "2026-10-28.1",
    "id": "chen-et-al-codex-human-eval-2021",
    "entry_id": "chen-et-al-codex-human-eval-2021",
    "revision": 1,
    "title": "Chen and colleagues: Codex code generation and HumanEval",
    "context": "Code-generation language models",
    "track": "Human-designed AI research method or resource",
    "band": "A",
    "modifier": null,
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-09-27",
    "evidence_cutoff": "2026-09-27",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Evaluated GPT-family models fine-tuned on code and introduced HumanEval, a benchmark of Python programming problems tested for functional correctness.",
    "scope": "Evaluated GPT-family models fine-tuned on code and introduced HumanEval, a benchmark of Python programming problems tested for functional correctness. Scope limitation: Codex and HumanEval form one paper-level package. Benchmark pass rates do not show reliable software engineering across real repositories.",
    "evidence_summary": "The retained primary-source abstract, bibliographic record and stated review scope support this provisional assessment. No independent experimental replication by WRS is claimed. Codex and HumanEval form one paper-level package. Benchmark pass rates do not show reliable software engineering across real repositories.",
    "references": [
      {
        "title": "Chen and colleagues: Codex code generation and HumanEval — original paper",
        "url": "https://arxiv.org/abs/2107.03374v2",
        "locator": "Abstract and complete bibliographic byline for 2107.03374v2; not an independent proof or experimental replication."
      },
      {
        "title": "Chen and colleagues: Codex code generation and HumanEval — company research page",
        "url": "https://openai.com/research/index/milestone/",
        "locator": "Source-linked contribution and stated scientific limits; not an independent replication."
      }
    ],
    "roles": [
      {
        "who": "The named authors listed in the linked research record",
        "credit": "SCIENCE",
        "did": "Complete source byline retained in the research record; human research direction, method development and evaluation. Individual labor shares are not measured."
      }
    ],
    "target": {
      "record_id": "urn:uuid:82ce9633-add0-4dc0-a85b-0429beecfdb4",
      "version": 1,
      "content_hash": "sha256:56c9ccee47cd8a21b20f9fdddfb469793dadf8ebdc8b57c1701eb93ce617a255"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "48000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}
