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remove-ai-watermarks/docs
Victor Kuznetsov 1e71f0523d Document the provider drift retrain campaign
The 2026-09-02 campaign measured the Aug ChatGPT renderer drift at the
Model 2 level and shipped nothing: leave-one-over-one recovers only the
margin near-miss, hard rejections resist sibling training, and every
refit variant regresses a sibling eval cell through the shared negative
pools (google -10 or meta -6). The drift corpus stays eval-only; the
tc260 producer split is deferred until ContentProducer metadata is
exported from the app database. Preconditions recorded for the next
retrain.
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