constitution · epochs · watch · epoch 3
llm.judgment
ev_eae2d7f965b3eac0ac8f6c066720375adba4acc509f3572059225547918a562d
kindllm.judgment
epoch3
recorded_at_ms1784433059214
previous_event_sha25636a24903e8f74ec4472fbde3846ff5c00a1de66c86005516e39e67e2e4b470ef
schema_version2
links
- comparison_id: cmp_127f7e579c702215f224d5f8600902fda4764aa96a2112e7f6972def43cadc4c
- attempt_id: att_3b7d3ac000500caac3d5a6e918efa45eb8732c08d35dcfd06c29e00981e9ddb9
- judgment_id: jud_c498683956683a78d33181ba8e7a8248ea12dccda41d87b94c58005e1d290f41
- epoch 3
payload
{
"attempt_id": "att_3b7d3ac000500caac3d5a6e918efa45eb8732c08d35dcfd06c29e00981e9ddb9",
"comparison_id": "cmp_127f7e579c702215f224d5f8600902fda4764aa96a2112e7f6972def43cadc4c",
"explanation": "Side B fixes a correctness bug in the core ranking algorithm by changing the Rank Centrality transition matrix to use degree-based d_max instead of summed edge weights, preventing oscillation on star topologies and producing the expected stationary distribution. It also adds targeted Rust and end-to-end regression tests with ranking fixtures, whereas Side A is largely a refactor that removes the demo counter and introduces cached ranking/settlement infrastructure without an equally clear correctness improvement.",
"judgment_id": "jud_c498683956683a78d33181ba8e7a8248ea12dccda41d87b94c58005e1d290f41",
"model_id": "openai/gpt-chat-latest",
"ratio": "3:2",
"summary": "openai/gpt-chat-latest: B (3:2)",
"winner": "B"
}