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block checkpoint evaluation on ancestral exposure
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Jens
2026-08-09 22:10:50 +02:00
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@@ -1179,8 +1179,9 @@ This file now starts with the current implementation status. Older preparation/b
as release evidence. Postel occurs in both compared train splits and is only
a training-seen regression check, not independent validation.
- [x] Add a fail-closed checkpoint gate that checks every evaluation AOI
against the exact train split of every supplied model corpus before PyTorch
import, model loading or GPU inference.
against every split of every supplied ancestral model corpus before PyTorch
import, model loading or GPU inference. Turnhout/Westerlo were exposed as
validation in the base building model; Postel was exposed as training.
- [ ] Convert the AI-assisted ledger into no stronger claim than experimental
triage; a real human must independently review and sign the frozen artifacts
before the governed training wrapper may unlock.