llm.judgment

ev_3c99e0ff7da972ac2860a81a7dd2d33924f36d31ede304971dab6c311838aff7

kindllm.judgment

epoch3

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previous_event_sha256fe630de4e7ae8cef9ea5b834e9fe233987327469ec2edb0d7a3d33c28a3a7646

schema_version2

payload

{
  "attempt_id": "att_e2f257394198fd449c2775a1fd83cd0d554f0581b67f380ca9ba7ef6fe7fa4ac",
  "comparison_id": "cmp_9a16f34835597bddbf9cc5db3f5fae7c40731dbc83344a4af3e750949b325ec4",
  "explanation": "Side B makes a targeted algorithmic improvement to pair selection by introducing component-aware bridge priorities and rank-based refinement order, then backs it with focused tests covering attachment, spanning-tree completion, and adjacent-rank selection. Side A removes a large autocomplete/parser graph in favor of a much simpler paste-and-go flow, which simplifies the codebase but also drops substantial functionality (autocomplete, incremental parsing, race handling) while replacing it with basic URL extraction and redirect behavior.",
  "judgment_id": "jud_9c3d137634093f95ff93191cf34173c493d128fcdfb51c604aa31f60086a6fb3",
  "model_id": "openai/gpt-chat-latest",
  "ratio": "4:1",
  "summary": "openai/gpt-chat-latest: B (4:1)",
  "winner": "B"
}

ev_3c99e0ff7da972ac2860a81a7dd2d33924f36d31ede304971dab6c311838aff7

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