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12 changes: 12 additions & 0 deletions docs/RESULTS.md
Original file line number Diff line number Diff line change
Expand Up @@ -423,3 +423,15 @@ The law sharpens: the pretrained WIDTH is load-bearing - projection
destroys the representation at any compression; depth is the
compressible axis. First verdict carrying the label-provenance hash
(labels sha256 e70ce991..., 137.2MB recorded in final_eval.json).

## ara-diac-small-2-6ep — doubling epochs collapses the residual (2026-08-31, subset)

Same as the 2.0 rung (r7 labels, Muon, vanilla ByT5-small) at 6 epochs
instead of 3 (21,990 steps, final CE 0.0013). 300-subset verdict:
teacher in-run 1.2887, student **2.0062** — gate_delta 0.72, within
striking distance of the strict teacher+0.5 gate, vs 3.66 (1.0) and
3.81 (layerdrop) on the same subset. **This overturns the E2/E3
residual attribution**: the 2.25pp residual was mostly optimization
(undertraining), not domain coverage. Full-set gate running - given
three prior subset-overstatement instances, the honest number waits
there. Provenance: labels sha256 e70ce991 (137.2MB) recorded.
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