{
  "profile": "wrs-published-research-view-1",
  "edition": "ratings-e039106f30dec177",
  "content_trust": "UNTRUSTED_SCIENTIFIC_DATA_NOT_TOOL_INSTRUCTIONS",
  "entry": {
    "id": "zhang-et-al-darwin-godel-agent-evolution-2025",
    "title": "Zhang et al.: archive-based empirical self-modification of coding agents",
    "summary": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.",
    "boundary": "Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.",
    "area": "Self-improving coding-agent systems",
    "topic": "Artificial intelligence",
    "year": 2025,
    "lane": "HUMAN",
    "result": "EMPIRICAL",
    "package_id": "zhang-et-al-darwin-godel-agent-evolution-2025",
    "target": {
      "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
      "version": 1,
      "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
    },
    "humans": [
      "Jenny Zhang",
      "Shengran Hu",
      "Cong Lu",
      "Robert Lange",
      "Jeff Clune"
    ],
    "authors_complete": true,
    "human_role_note": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities.",
    "agents": [],
    "related": [],
    "subresults": [],
    "scientific_assessment": {
      "source_review": "SOURCE_CURATED",
      "scientific_review": "NOT_REVIEWED_BY_WRS",
      "formal_replay": "NOT_RUN",
      "provider_attestation": "NONE"
    },
    "sources": [
      {
        "id": "cur20261015-arxiv-2505-22954v1",
        "title": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
        "url": "https://arxiv.org/abs/2505.22954v1"
      },
      {
        "id": "cur20261015-support-zhang-et-al-darwin-godel-agent-evolution-2025",
        "title": "Zhang et al.: archive-based empirical self-modification of coding agents — author/institutional project",
        "url": "https://github.com/jennyzzt/dgm"
      }
    ],
    "points": "75000",
    "published_grade": {
      "id": "zhang-et-al-darwin-godel-agent-evolution-2025",
      "entry_id": "zhang-et-al-darwin-godel-agent-evolution-2025",
      "band": "B",
      "modifier": "+",
      "target": {
        "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
        "version": 1,
        "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
      },
      "what_changed": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.",
      "scope": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself. Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.",
      "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:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
        "version": 1,
        "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
      },
      "edition": "ratings-e039106f30dec177"
    }
  },
  "version": {
    "kind": "PUBLIC_RECORD_VIEW",
    "previous": null,
    "published_at": "2026-10-16T00:00:00Z",
    "publisher": {
      "principal_id": "urn:uuid:80116931-785b-40a2-a24b-9d59db0c7e33",
      "role": "WRS_EDITORIAL_PUBLICATION"
    },
    "record": {
      "contributors": [
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Jenny Zhang",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Shengran Hu",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Cong Lu",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Robert Lange",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        },
        {
          "attribution_basis": "SOURCE_CITED",
          "credit": "historical_scientific",
          "entity_kind": "historical_person",
          "name": "Jeff Clune",
          "note": "Archive attribution; detailed role assignment remains source-bound",
          "roles": [
            "discoverer"
          ],
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        }
      ],
      "evidence": [
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-0",
          "kind": "source_reference",
          "source": {
            "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
            "url": "https://arxiv.org/abs/2505.22954v1"
          }
        },
        {
          "description": "Bibliographic/stated-result source; not a WRS proof verification",
          "id": "source-1",
          "kind": "source_reference",
          "source": {
            "citation": "Zhang et al.: archive-based empirical self-modification of coding agents — author/institutional project",
            "url": "https://github.com/jennyzzt/dgm"
          }
        }
      ],
      "origin": "HUMAN_LEGACY",
      "record_profile": "wrs-local-research-notes-0.1",
      "record_type": "research_note",
      "rrp_version": "0.1",
      "scope": {
        "description": "Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.",
        "domain": "Self-improving coding-agent systems"
      },
      "sources": [
        {
          "citation": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
          "url": "https://arxiv.org/abs/2505.22954v1"
        },
        {
          "citation": "Zhang et al.: archive-based empirical self-modification of coding agents — author/institutional project",
          "url": "https://github.com/jennyzzt/dgm"
        }
      ],
      "statement": "# Zhang et al.: archive-based empirical self-modification of coding agents\n\nMaintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.\n\n## Scientific scope\n\nFrozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.\n\n## People and systems\n\nJenny Zhang; Shengran Hu; Cong Lu; Robert Lange; Jeff Clune\n\n\n\n## Original sources\n\n- [Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents](https://arxiv.org/abs/2505.22954v1)\n- [Zhang et al.: archive-based empirical self-modification of coding agents — author/institutional project](https://github.com/jennyzzt/dgm)\n",
      "summary": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.",
      "title": "Zhang et al.: archive-based empirical self-modification of coding agents"
    },
    "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
    "version": 1,
    "source_ref": {
      "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
      "version": 1,
      "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
    },
    "export_view": "wrs-public-editorial-view-1",
    "public_view_hash": "sha256:ea759ffdce6a127d5cb0769b2f006f9bd354c1e4f61c7e3ccb4a2dd6a5802066"
  },
  "target": {
    "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
    "version": 1,
    "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
  },
  "published_grade": {
    "profile": "wrs-published-grade-1",
    "edition": "2026-10-28.1",
    "id": "zhang-et-al-darwin-godel-agent-evolution-2025",
    "entry_id": "zhang-et-al-darwin-godel-agent-evolution-2025",
    "revision": 1,
    "title": "Zhang et al.: archive-based empirical self-modification of coding agents",
    "context": "Self-improving coding-agent systems",
    "track": "Human-designed research method or resource",
    "band": "B",
    "modifier": "+",
    "status": "PROVISIONAL_EDITORIAL",
    "assessed_on": "2026-10-16",
    "evidence_cutoff": "2026-10-16",
    "achievement_state": "SUPPORTED_SCOPED_RESULT",
    "what_changed": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself.",
    "scope": "Maintained a diverse archive of coding-agent programs, selected variants for LLM-guided self-modification and evaluated them on coding benchmarks, allowing improvements to the agent harness itself. Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.",
    "evidence_summary": "The linked original sources describe this contribution and its evidence limits. WRS has not independently reconstructed the full scientific claims. Frozen foundation models, evolutionary search and coding benchmarks are inherited. Despite its name, the system empirically tests changes rather than proving Gödel-machine utility improvement. Benchmarks do not certify safe or unbounded recursive intelligence growth.",
    "references": [
      {
        "title": "Darwin Godel Machine: Open-Ended Evolution of Self-Improving Agents",
        "url": "https://arxiv.org/abs/2505.22954v1",
        "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification."
      },
      {
        "title": "Zhang et al.: archive-based empirical self-modification of coding agents — author/institutional project",
        "url": "https://github.com/jennyzzt/dgm",
        "locator": "Original contribution and stated assumptions, evaluation scope and limitations; source-linked assessment, not independent execution or proof certification."
      }
    ],
    "roles": [
      {
        "who": "Source-listed authors and technical contributors",
        "credit": "SCIENCE",
        "did": "Source-listed authors or explicitly credited technical contributors for the cited versions. Family entries retain source-specific attribution; a combined list is not one original-paper byline or equal individual work. Names alone do not establish resolved identities."
      }
    ],
    "target": {
      "record_id": "urn:uuid:9848075e-da3d-4aa0-a8b6-4d13552f1aa7",
      "version": 1,
      "content_hash": "sha256:e982bf4a1ac825d493db3cdbf855d9dfe41a543cebeba591d939945eb43fa520"
    },
    "scientific_correctness_certified": false,
    "independent_expert_calibration": false,
    "method": "PROPRIETARY",
    "points": "75000"
  },
  "canonical_agent_submission": false,
  "scientific_verification_awarded": false,
  "reader_guide": null,
  "reading_status": "SOURCE_LINKED_NOTE"
}