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Ronald Tse
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docs: two-paper decision (teacher/student) + benchmark-gated third
Fact allocation: A=1,2,8; B=3-7,9,10,13,14; C=11,12+benchmarks.
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‎docs/PUBLICATION-NOTES.md‎

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@@ -94,15 +94,42 @@ updated; rababa RESULTS.md carries both tables. Follow-on (user
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decision): ara-diac-2.0 teacher release; students re-distilled from
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r7 with Muon (E3) are the natural ara-diac-small-2.0.
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## Venue fit (working notes)
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The spine is systems-with-measurements: an artifact contract +
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distillation discipline + three calibration/measurement corrections
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(decode, subset, quantization-margins) that generalize beyond our
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stack. The frontier law (pretrained-or-collapse) and the controlled
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capacity/aux/optimizer experiments give it empirical heft. Package as
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one paper (current paper.adoc); the margin/head finding alone is also
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a strong short workshop paper if a split is ever wanted.
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## Venue decision (2026-08-29): TWO papers + a benchmark-backed third
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The material outgrew one paper. Split by **teacher vs student**, not
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training vs distillation — the 2x2 factorial gap decomposition is a
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distillation-training result and must stay with the student paper.
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**Paper A — teacher** (facts 1, 2, 8): "Morphological supervision,
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not phonemic: controlled evidence and a dual-surface teacher for
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Arabic diacritization." r8 single-variable aux ablation (morph
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2.5793 < IPA 2.6588 < none 2.6775 - the strong form of "phonemes
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help" fails), r7 dual-surface domain adaptation (ID 2.2864 / OOD
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17.38-11.83, trade-off gone), protocol-matched leaderboard with the
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full-set-only rule. 100% measured, writable now. ACL/EMNLP main or
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SEMITIC.
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**Paper B — student** (facts 3-7, 9-11, 13-14): "Closing the
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teacher-student gap for browser-tier byte-level seq2seq." Spine: the
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2x2 factorial (optimizer -2.96pp, memory -0.70pp, combined -3.43pp,
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~additive, residual 2.25pp = domain). Pretrained-or-collapse law in
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two languages with the label-provenance forensics arc (83.08 ->
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83.0797 -> 74.68) as the reproducibility section; decode-protocol
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correction (beam inflates 4.2x) and margins/head-fp32 (36x flip
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reduction at +0.4% size) as calibration sections; the SVD-stitch
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rung as the browser-budget ending (if it fails, the shipped
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ByT5-small int8 tiers end the paper instead). IMF v1 as the artifact
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appendix. Efficient-NLP/distillation venue with artifact badge.
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**Paper C — systems** (fact 11 + the runtime stack): gated on a real
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evaluation axis. Benchmarks to build (benchmarks/imf-runtime):
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decode latency x tier x runtime backend (onnxruntime-node, Modal
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4-vCPU serving shape, browser WASM/WebGPU), cold load vs cache-hit,
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zip+member verification overhead, session-create cost, peak memory,
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index-resolution latency. Without these it stays an appendix.
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Fact allocation table (14 facts -> papers): A: 1, 2, 8. B: 3, 4, 5,
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6, 7, 9, 10, 13, 14. C: 11, 12 + new benchmark results.
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## ara-diac-tiny: the "clean-label re-run" wasn't (2026-08-29)
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