constitution · epochs · watch · epoch 3
llm.judgment
ev_abca4e31a3aebf1e27882f7a51844f61f70246fb039803f3dbd4fc880eb32524
kindllm.judgment
epoch3
recorded_at_ms1784490929417
previous_event_sha25626af96a3f8881c47f9c53a1fb931bb3b865a10a8976059a32bea02d63c3e1094
schema_version2
links
- comparison_id: cmp_a5bc9099996d4a44085395e5e1abc988f60bd0f12a92b681142924f875d6dbbb
- attempt_id: att_f1193969c05ddfa5822e4156bd93ad565861efe22218ceb9658f6002303978bc
- judgment_id: jud_1a6e02cb032d0e8416f14bd034bfa856aca5cb53f988ced8de36afa28719e5c9
- epoch 3
payload
{
"attempt_id": "att_f1193969c05ddfa5822e4156bd93ad565861efe22218ceb9658f6002303978bc",
"comparison_id": "cmp_a5bc9099996d4a44085395e5e1abc988f60bd0f12a92b681142924f875d6dbbb",
"explanation": "Side B strengthens core data modeling by changing `resolve_item` to return `CanonicalItemUrl`, propagating that typed identifier through validation, ranking, pair selection, and scope-change computation, eliminating repeated parse/wrap conversions and reducing stringly-typed APIs. Side A replaces a rich autocomplete/graph parser with a much simpler paste-and-go flow and deletes substantial parser logic and tests, which simplifies maintenance but also removes existing capabilities rather than improving the underlying architecture.",
"judgment_id": "jud_1a6e02cb032d0e8416f14bd034bfa856aca5cb53f988ced8de36afa28719e5c9",
"model_id": "openai/gpt-chat-latest",
"ratio": "4:1",
"summary": "openai/gpt-chat-latest: B (4:1)",
"winner": "B"
}