llm.judgment

ev_54d244e00a6675e9efc980223747ffaf288b93b5260a2f2acc4632f2285daa6b

kindllm.judgment

epoch3

recorded_at_ms1784500680301

previous_event_sha2561feac1aaa9d1125c34b7d4fb5c2a7cfb5c2022bb2c88353558c981a283ae0a4f

schema_version2

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{
  "attempt_id": "att_81b47d1c9ffb9dc8fb0ff4df615b3ec2cd4fd570c9f80cb3d5a467779edf08f5",
  "comparison_id": "cmp_c5aa13b2050810ec13fa02f8ab673c5b0dd0ade30d11706dd22c56d854810b38",
  "explanation": "Side A substantially improves the developer workflow by replacing a rebuild-based fixture runner with a persistent cargo-watch setup, reusing seeded fixture data across runs, preferring a stable port with fallback, and adding supporting utilities such as port selection and summary rebasing. Side B only removes a redundant zero-ratio guard in the reducer and updates a test to reflect existing validation and edge-skipping behavior, which is a small cleanup with limited lasting impact.",
  "judgment_id": "jud_68e7c9e0af0c49bdbcecea3862bf26fec2cf6b57a73626707a502c816ec143c3",
  "model_id": "openai/gpt-chat-latest",
  "ratio": "5:1",
  "summary": "openai/gpt-chat-latest: A (5:1)",
  "winner": "A"
}

ev_54d244e00a6675e9efc980223747ffaf288b93b5260a2f2acc4632f2285daa6b

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