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{
  "schema_version": 2,
  "title": "Reproduction: FormulaCode: Evaluating Agentic Optimization on Large Codebases",
  "emoji": "🏎️",
  "space_id": "amkkk/repro-formulacode-evaluating-agentic-optimization-on-large-codebases",
  "paper": {
    "arxiv_id": "2603.16011",
    "orid": "WArbqRUsAe"
  },
  "tags": [
    "icml2026-repro",
    "paper-WArbqRUsAe"
  ],
  "updated_at": "2026-08-02T21:34:14+00:00",
  "root": {
    "slug": "index",
    "title": "Reproduction: FormulaCode: Evaluating Agentic Optimization on Large Codebases",
    "file": "pages/index.md",
    "children": [
      {
        "slug": "executive-summary",
        "title": "executive-summary",
        "file": "pages/executive-summary/page.md",
        "children": []
      },
      {
        "slug": "claim-1-dataset-pipeline",
        "title": "Claim 1: dataset construction pipeline",
        "file": "pages/claim-1-dataset-pipeline/page.md",
        "children": []
      },
      {
        "slug": "claim-2-workload-patch-scale",
        "title": "Claim 2: workload & patch scale",
        "file": "pages/claim-2-workload-patch-scale/page.md",
        "children": []
      },
      {
        "slug": "claim-3-agent-performance",
        "title": "Claim 3: frontier-agent performance",
        "file": "pages/claim-3-agent-performance/page.md",
        "children": []
      },
      {
        "slug": "claim-4-optimization-scale",
        "title": "Claim 4: optimization scale",
        "file": "pages/claim-4-optimization-scale/page.md",
        "children": []
      },
      {
        "slug": "claim-5-repository-popularity",
        "title": "Claim 5: repository popularity",
        "file": "pages/claim-5-repository-popularity/page.md",
        "children": []
      },
      {
        "slug": "claim-6-strategy-performance",
        "title": "Claim 6: strategy performance",
        "file": "pages/claim-6-strategy-performance/page.md",
        "children": []
      },
      {
        "slug": "conclusion",
        "title": "conclusion",
        "file": "pages/conclusion/page.md",
        "children": []
      }
    ]
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