Require tile quality evidence for training
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This commit is contained in:
Jens
2026-07-29 17:37:55 +02:00
parent 037f875575
commit 21c464c715
5 changed files with 64 additions and 5 deletions
+3
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@@ -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.
+4
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@@ -11,6 +11,10 @@
and nine Walloon dense/rural/architecture or difficult-negative samples.
Added mode-0600 session-token-file support to the official provisioner so
authenticated Tower acquisition does not expose session material in argv.
- Closed a fail-open evidence gap between corpus and tile audits. The training
loop now requires and hashes the train tile-quality report, and refuses
missing counters instead of treating absent invalid/blank-label evidence as
zero.
## 2026-07-27 - Guest demo and product professionalization