llm.judgment

ev_b80d9aaee1d9a974446599992316022956ce005148c2a4da64f6df89b809bfb6

kindllm.judgment

epoch3

recorded_at_ms1784495610495

previous_event_sha256e731076988918fd000ee4f36d44acba6bf80c307e20bbc6d9b48f84f5aca9450

schema_version2

payload

{
  "attempt_id": "att_269ea0a5272176f230ce9349aa65b02291e0deb464181c10f556e47f9775e3d9",
  "comparison_id": "cmp_e028a3352dc7cd55bb95ade56f1d8f9c7cb6826b75296556eec6a0ac03839931",
  "explanation": "Side B performs a substantial architectural refactor by replacing cached `GroupState` with `ScopeVotes`, deriving ranking edges and connected components on demand from deduplicated votes, and updating ranking, pairing, storage, replay, and tests accordingly. Side A mainly improves HTML reuse and correctness for multiple entity sections by replacing a fixed `#entity-section` target with per-item selectors and reusing `entity_section` in the vote UI, which is useful but much narrower in long-term impact.",
  "judgment_id": "jud_ea9693a5eaa9da36c0976f79bb79110ad3f0c6f4d6fcccbe8e3bc6c0fab99430",
  "model_id": "openai/gpt-chat-latest",
  "ratio": "5:1",
  "summary": "openai/gpt-chat-latest: B (5:1)",
  "winner": "B"
}

ev_b80d9aaee1d9a974446599992316022956ce005148c2a4da64f6df89b809bfb6

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