Offline Operators
Model breeding is an offline evidence pipeline: compatible parents, reproducible operators, receipts, manifests, runtime-smoke gates, eval sidecars, and selector admission.
01
The site presents model breeding as a governed offline artifact pipeline. Operators produce candidates, sidecars, or receipts. The browser only consumes staged and admitted artifacts after validation.
02
The source describes blend, task-delta, sparse task-delta, pruning, DARE-style dropout/rescaled task-delta, federated/local-update, deterministic crossover, mutation, sign-aware merge, and seed-weighted parent-pool soup lanes. These are evidence-producing tools, not public quality claims by themselves.
03
A candidate must carry provenance and pass runtime-smoke; assistant-quality claims require evaluation sidecars with exact case evidence. Selector registries are the final browser route surface, not the start of the proof chain.
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