Record: Causal SLOT + Pre-quant TTT — val_bpb 1.0846 (3-seed mean)#1306
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Record: Causal SLOT + Pre-quant TTT — val_bpb 1.0846 (3-seed mean)#1306resouer wants to merge 1 commit intoopenai:mainfrom
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3-seed mean 1.0846 (std 0.0007). Beats merged SOTA (1.1147) by 0.030. Novel: provably causal eval-time delta optimization (causal SLOT). Unlike standard SLOT (PR openai#1240 proved 100% causal violation), delta is optimized using only backward-looking loss from already-scored positions. Combined with 6-epoch pre-quant AdamW TTT and coprime-stride multi-shard data loading. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
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…nai#1303 at 0.9462 - logs/daily_research.md: full daily report; PR openai#771 rejected confirmed, n-gram PRs status, leaderboard unchanged (1.1147), headline PR openai#1303 (0.9462 bpb, legality unconfirmed), PR openai#1306 Causal SLOT (-0.009) + Pre-quant TTT (-0.022), new paper scan (LaCT, pQuant, SLOT paper) - CLAUDE.md v7.1: updated key reference PRs (openai#1303, openai#1306), corrected SLOT technique table (standard SLOT disputed, Causal SLOT lower-risk alternative, Pre-quant TTT novel entry) https://claude.ai/code/session_01AUKKvYMVeeWQzfTKocVaJZ
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Summary
3-seed mean val_bpb: 1.0846 (std 0.0007) | ~15.95 MB | 8xH100 SXM | ~551s eval
Merged SOTA (PR #1019, 3-seed mean): 1.88218 nats. This run: 1.83126 nats. Delta: -0.051 nats. Clears the 0.005-nat threshold.
Results (3-seed)
Changes from Merged SOTA (PR #1019)
1. Causal SLOT — provably causal eval-time delta optimization (Novel)
Standard SLOT (PR #1172, #1176, #1229) optimizes delta using loss from all positions including future ones. PR #1240 proved this violates causal dependence (100% violation rate). Our causal SLOT restricts optimization to context-only positions — tokens already scored in previous windows. Provably causal: P(x_{t+1}) depends only on x_1,...,x_t. Delta: -0.009 BPP, ~300s eval time.
2. Pre-quant AdamW TTT (6 epochs)
AdamW TTT on full-precision EMA weights before GPTQ quantization. Post-quant SGD TTT fails on GPTQ stacks (25 failures per PR #756). Pre-quant TTT adapts weights that then quantize better. Delta: -0.022 BPP, 111s.
3. Coprime-stride multi-shard data loader
Weighted random shard sampling with coprime stride patterns for batch diversity. Delta: -0.003 BPP.
Reproduction
No env vars needed. FA3 required (see requirements.txt).
Credits
Base: PR #1019 (@abaybektursun). SLOT concept: arXiv:2505.12392v2, PR #1176 (@bigbag). Coprime-stride loader: PR #1184 (@icryo). Pre-quant TTT concept: PR #1006. Causal SLOT: novel (this submission).
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