Notable: SP8192 + 3-Layer Recurrence + Parallel Residuals - 5-Seed Quantization Reference and SDClip Ablations#1720
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…antization Reference and SDClip Ablations val_bpb 1.08181 (5-seed mean, std 0.00052) under the 10min_16mb track. Filed as a notable non-record submission; does not claim a new SOTA technique. Packages a 5-seed pre/post-quant reference for the current SP8192 / 3-layer recurrence / parallel residual stack plus unsuccessful SDClip variants as a documented negative baseline for quantization tuning under the 16 MB cap.
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Round34's openai#1720 reference lane used a packed wrapper whose hidden defaults caused remote vocab autodetection to fall back to 1024. This patch makes the intended SP8192 surface explicit without touching the packed payload. Constraint: Round34 should test openai#1720 as an SP8192 reference, not a launcher-derived sp1024 variant Rejected: Rely on remote_helper packed-code execution path | it still returns 1024 here Confidence: high Scope-risk: narrow Directive: Any packed PR replay that depends on evaluator autodetect should surface VOCAB_SIZE/DATA_PATH/TOKENIZER_PATH plainly in the wrapper header Tested: python3 -m py_compile train_gpt.py evaluate.py remote_helper.py; python3 remote_helper.py detect-vocab Not-tested: remote rerun after relaunch
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submission.jsonschema compatible with merged PR Record: SP8192 + 3-Layer Recurrence + Parallel Residuals + QK-Gain 5.25 + Legal TTT — val_bpb 1.0810 (3-seed mean) #1493 (14 top-level keys, 9 compliance booleans, attribution allow-set)git cloneon 8xH100 SXM