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    "headline": "Reproduction Improves When Execution Knowledge Survives",
    "slug": "reproduction-improves-when-execution-knowledge-survives",
    "dek": "Refined ML artifacts lift four coding agents above 90 percent mean success while narrowing the gap between models.",
    "summary": "Refined ML artifacts lift four coding agents above 90 percent mean success while narrowing the gap between models.",
    "body_text": "ReproBridge packages a refined codebase, environment setup, experiment launchers and a reproduction guide after an agent reconstructs a machine-learning experiment. Its benchmark contains 1,029 tasks from 387 experiments across 36 papers, each anchored by five human-verified reference scores. In fresh sessions, refined artifacts raised average reproduction success across four models from 76.4 to 92.6 percent, cut downstream API spending 19.7 percent and narrowed the cross-model success spread from 21.6 to 3.9 points. The study argues for preserving recovered procedure, not repeatedly paying agents to infer it.",
    "why_it_matters": "Refined ML artifacts lift four coding agents above 90 percent mean success while narrowing the gap between models.",
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      "The study argues for preserving recovered procedure, not repeatedly paying agents to infer it."
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        "qualification": "The study argues for preserving recovered procedure, not repeatedly paying agents to infer it."
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    "tags": [
      "reproducibility",
      "coding agents",
      "machine learning"
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  "sources": [
    {
      "source_id": "source-2026-11-08-009",
      "title": "arXiv preprint 2611.08452, original v1",
      "publisher": "arXiv",
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      "published_at": "2026-11-05T13:45:36.000-05:00",
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  "publisher": {
    "name": "The Machine Press",
    "url": "https://themachinepress.com",
    "description": "A daily newspaper for the age of artificial intelligence."
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  "cite_this_report": {
    "title": "Reproduction Improves When Execution Knowledge Survives",
    "publisher": "The Machine Press",
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