llm.judgment

ev_7a1c8c25853a6e689785fb44fe84b821eefd9e74c6877e9a653ae0e5ba749486

kindllm.judgment

epoch3

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schema_version2

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{
  "attempt_id": "att_d3273c6505c984863f96062371426056e786c941f83bc9f970e5edee4111cc7f",
  "comparison_id": "cmp_2276cfba527b9c33e181c940cd8b9cd28326401bbff611c539c161cf0332bff8",
  "explanation": "Side A implements a substantial architectural refactor: it replaces cached `GroupState` with a simpler `ScopeVotes` model, derives ranking edges and connected components on demand, updates persistence and ranking algorithms, and adapts callers and tests throughout the project. Side B adds a sizable URL canonicalization/graph subsystem with extensive tests, but it is largely an isolated new feature, whereas Side A simplifies core state management and removes redundant cached data in a way that affects the project's central ranking pipeline.",
  "judgment_id": "jud_a17c4d2b44614cdd4195fb0bfc59b00c3ff0f563a1c8098d7ed60d38a9f3639c",
  "model_id": "openai/gpt-chat-latest",
  "ratio": "4:1",
  "summary": "openai/gpt-chat-latest: A (4:1)",
  "winner": "A"
}

ev_7a1c8c25853a6e689785fb44fe84b821eefd9e74c6877e9a653ae0e5ba749486

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