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Merge pull request #179 from interscript/heb-layerdrop-verdict
docs: Hebrew layerdrop verdict — depth-cut collapse
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@@ -521,3 +521,30 @@ levers: on-policy distillation — GKD in flight; label-distribution
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effects). G2a (2.1) remains the best student; G2b stands as the
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closing negative of the data-side program. Provenance: labels sha256
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b59e2f56 (235.0MB).
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## heb-diac-small-s46-layerdrop — the depth-cut does NOT transfer: 77.48 DER (2026-09-05)
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Item 04 (TODO.publish-client): the Arabic width/depth finding
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replicated on Hebrew — encoder 12->6 verbatim layer copy from
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pretrained ByT5-small, single variable vs run-002-s46 (same s46
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teacher, hebrew-v4 corpus, 3 epochs, logit-KD recipe). Training
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converged normally (val_loss 0.550); the full Nakdimon gate did not:
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| Model | DER (n=1864) |
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|---|---|
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| teacher s46 | 23.72 (reproduces exactly) |
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| full-depth student (run-002, 1.1) | 30.38 |
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| **layerdrop student (run-003)** | **77.48** — collapse |
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Paired delta +53.77pp [51.64, 55.92], p=0.
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Verdict: the "depth is the compressible axis" finding does NOT
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transfer as-is. Confound, stated honestly: the Arabic rung used
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sequence-KD (teacher labels, Muon, 6 epochs); this run used the Hebrew
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lineage's logit-KD (alpha-KL + CE) at its native 3 epochs — so the
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collapse may be recipe-dependent (depth-cut + logit-KD), not purely
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linguistic. Either way the cross-lingual generalization claim is
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closed as a negative: depth-compressibility is NOT a universal
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property of pretrained ByT5-small; it held under one recipe on one
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language. Paper B's depth paragraph is scoped accordingly (this entry
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is its counterexample).

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