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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",
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},
{
"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",
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