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Commits on Jul 4, 2026

• char-CNN: revert nolerp default -> torch AdamW; 8M+ GPU crash is HARDWARE (compute intensity), use CPU

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• char-CNN: lerp-free AdamW so DirectML training stays 100% on GPU (no per-step CPU round-trip)

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• Arm C — address "did we decompose single-topic queries?": subset by cross-topic (§5.3, §10)

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• Arm C — run C×B, test complementary fusion, take the negative to the end (§5.3)

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• README: link arm_d_scaling.svg in the Arm D callout (parity with router_scaling.svg)

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• Arm D scaling figure: add Qwen-3B, router-ceiling band, punch subtitle

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• PAPER+README §5.5: add explicit per-query complexity in N (notes) and L (query length)

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• PAPER+README: add cost-per-query analysis (FLOPs + measured CPU latency) — §5.5

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• docs: coherence pass across paper/brief/citation (three->four arms, 3B, fix contradictions)

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• README: three arms -> four (add Arm D char-CNN control)

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• README: update Results with the 3B run + H2 dissociation

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• PAPER: polish H2 integration — fix H1 wording + declutter scaling figure

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• PAPER: 3B router run — completes H2 as an associative-vs-symptom dissociation

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Commits on Jul 3, 2026

• PAPER: strip the GPU-crash / DirectML / hardware-troubleshooting narrative — it doesn't belong in the paper (method + results only)

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• Arm D scaling-curve SVG + generator (assoc HIT@10 vs params, baseline/Qwen refs)

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• PAPER: weave Arm D (from-scratch char-CNN) into abstract + §3 arms overview (now 4 arms)

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• PAPER §5.4 Arm D (from-scratch char-CNN beats baseline on associative) + fix DirectML diagnosis

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• char-CNN converged points (early-stopped): 0.5M assoc 0.232/0.515, 2M 0.352/0.643

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• char-CNN early stopping: val split + HIT@10 metric + grace + min-delta; lr 2.5e-3 for ~5x faster convergence

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• PAPER §12 Feasibility on consumer hardware (fast head-add vs slow consolidation) + early-stopping char-CNN

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• char-GPT: DirectML bool causal mask + query-length budgeting fixes

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Commits on Jul 2, 2026

• Arm D char-CNN: from-scratch beats baseline on associative (formulation > pretraining there)

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• Turnkey char-model sweep runner for the GPU window (Arm D)

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• Arm D: tiny from-scratch char models (classifier + char-GPT with corpus pretraining)

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• Mid-epoch training checkpoints + resume (3B on-device crash-resilience)

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Commits on Jul 1, 2026

• Query-path audit follow-ups: RRF fusion, score-dumping, safe infer batch

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• Router 1.5B: H1 confirmed on associative recall (paired-significant)

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Commits on Jun 30, 2026

• Unblock 1.5B/3B router on DirectML: fix VRAM reader + memory-efficient loss

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• Arm B (0.5B router) clean results + paired-bootstrap verdict

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• Docs: CC BY-NC 4.0 license, consolidate precisions into EXPERIMENT.md, present results directly

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• Professionalize repo: PolyForm Noncommercial license (keeps commercial IP), polished README, CITATION.cff

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• Run 2 artifacts + precisions doc; untrack regenerable/UI cruft

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• PAPER.md Run 2: corrected eval methodology (anchors vs generated queries), clean baseline, §10.1 confound lesson

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• Run 2 clean baseline: confounds removed, honest numbers

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• PAPER.md §8: precise arXiv citations + memory-in-weights arc (Titans/SEAL/consolidation) per §2

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