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Ronald Tse
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docs(verdicts): run-020 plane-distill 4.4462 - matched-supervision architecture win, label-limited data loss
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‎docs/RESULTS.md‎

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@@ -1058,3 +1058,17 @@ effect measured −1.17pp at the small tier); the teacher's three-
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generation curriculum lineage (r5→r6→r7) also remains un-matched by
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any single run. Two arms follow: epoch-2 extension and r7-label
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distillation into the plane architecture.
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## run-020 plane-distill — label-limited distillation loses to raw-text scale (2026-10-05)
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Arm B of the plane-large verdict follow-up: ByT5-small plane encoder
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trained on r7 teacher labels (29,322 unique pairs ×6, 3 epochs) scores
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full-set **Total DER 4.4462 / Morph 2.8620**. Two clean readings:
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(a) on MATCHED teacher-label supervision the plane architecture beats
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the seq2seq student (4.4462 vs 4.5701 — architecture advantage
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confirmed independent of supervision); (b) label-limited distillation
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loses to raw-text diversity at scale (run-018's 551k unique units →
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3.5905) — for the plane family the lever is unique-data volume, not
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supervision source. A full-corpus teacher labeling pass (~15-20h GPU)
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is the conditional distill follow-up, only if the epoch-2 arm falls
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short of the 2.2864 gate.

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