constitution · epochs · watch · epoch 3
llm.judgment
ev_15cbbbe2fe44213c87e6b9309836985ee4bec264f0060f68a902403042504f1e
kindllm.judgment
epoch3
recorded_at_ms1784489949766
previous_event_sha2560ac0337381a6cf8cdbe953675088decb95b4789090df6fdf5cc39811e0510705
schema_version2
links
- comparison_id: cmp_ae5a90e940534d36da3bf6953f51c5e7cae873f79a760b83b07d2aaf6da9767e
- attempt_id: att_ac2dece4c934408aa416302dcac207f89c1db4dc1feaa24bd5b783a9dcfd3e06
- judgment_id: jud_3c1821ab02472037cf3866d958e9f7392f966239e56f89ad3b07a98790ad4716
- epoch 3
payload
{
"attempt_id": "att_ac2dece4c934408aa416302dcac207f89c1db4dc1feaa24bd5b783a9dcfd3e06",
"comparison_id": "cmp_ae5a90e940534d36da3bf6953f51c5e7cae873f79a760b83b07d2aaf6da9767e",
"explanation": "Side A improves the project's core pair-selection algorithm by introducing structured bridge and within-component prioritization, preferring attachment of isolates to established components and rank-adjacent refinement once the pool is connected, with multiple targeted tests covering the new behavior. Side B adds a valuable offline developer tool (`sorterc`) for compiling `.sorter` files and scanning JSONL logs, but it primarily enhances development workflow rather than changing the application's core ranking behavior.",
"judgment_id": "jud_3c1821ab02472037cf3866d958e9f7392f966239e56f89ad3b07a98790ad4716",
"model_id": "openai/gpt-chat-latest",
"ratio": "3:2",
"summary": "openai/gpt-chat-latest: A (3:2)",
"winner": "A"
}