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Age	Commit message (Collapse)	Author
2026-03-31	Add naive state prediction baseline for A1 and A2	YurenHao0426
	A1: 240 rows (3 alpha × 2 depth × 4 methods × 10 seeds) A2: 30 rows (3 methods × 10 seeds) naive_StateErr = \|\|h_{L//2} - h_L\|\| / \|\|h_L\|\| Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-30	Add confirmatory paper experiments: A1-A4, all 10 seeds complete	YurenHao0426
	A1: Synthetic nonlinearity ladder (240 rows: 3 alpha × 2 depth × 4 methods × 10 seeds) A2: CIFAR state-vs-credit counterexample (30 rows: 3 methods × 10 seeds) A3: Frozen vs online dissociation (60 rows: 2 regimes × 3 methods × 10 seeds) A4: Protocol dependence panel (82 rows: assembled from existing results) All experiments ran on GPU 3. Total runtime: ~20 hours. CSVs in results/confirmatory/. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23	Add final report, plots, experiment guide, and complete NOTE.md	YurenHao0426
	All experiments complete: - Toy LQ: credit bridge matches state bridge (~0.94 costate cosine) - CIFAR-10: credit bridge (29.6%) comparable to DFA (30.0%), both beat state bridge (18.5%) - State bridge confirms core hypothesis: perfect state prediction != useful credit - Terminal gradient matching is essential for credit bridge
2026-03-23	Initial implementation: all models, methods, toy and CIFAR experiments	YurenHao0426
	Debug phase. Toy LQ experiments (3 seeds) complete with terminal gradient matching. Credit bridge matches state bridge on linear system (~0.94 cosine). CIFAR experiments in progress.