Require tile quality evidence for training

2026-07-29 17:37:55 +02:00
parent 037f875575
commit 21c464c715
5 changed files with 64 additions and 5 deletions
@@ -131,6 +131,9 @@ the versioned JSON argv command. Invalid state and bounded launch exhaustion
 fail closed.
 The orchestrator refuses to start unless every automated frozen-dataset gate
 passes and the corpus contains zero blank/low-variance positive tiles. The
+separate train tile-quality audit is a required checksummed loop input; missing
+invalid-label, missing-label-file or low-variance evidence fails closed rather
+than being interpreted as zero. The
 audit status may remain `needs_human_review` while training and objective
 evaluation continue: final human sign-off is deliberately the last gate and
 can never be interpreted as model promotion approval in advance.