block training-seen checkpoint evaluation

2026-08-09 21:01:12 +02:00
parent 48084799c9
commit fd45f37a38
7 changed files with 362 additions and 3 deletions
@@ -1176,7 +1176,11 @@ This file now starts with the current implementation status. Older preparation/b
  no-data imagery.
 - [ ] Add multiple independent real-background AOIs and more geographically
  separated positive validation AOIs before interpreting non-overlap ranking
-  as release evidence; Postel alone is not representative.
+  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.
 - [ ] 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.