faeval.git - Unnamed repository; edit this file 'description' to name the repository.

Age	Commit message (Collapse)	Author
2026-03-24	Add Phase 3 boundary-condition ablation results and combined memo	YurenHao0426
	Key findings: - deltaL (output-layer gradient) gives best Gamma (0.562 vs 0.452 for eT) - Concatenating h_L to s destroys credit quality (value net cheats) - Terminal gradient matching is monotonically beneficial - Best config: deltaL + tgw=1.0 + wr=0.05 -> Gamma=0.768, rho=0.691 - CIFAR depth scan shows no Goldilocks regime (dimensionality bottleneck) Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>
2026-03-23	Add Phase 1 synthetic ladder results and memo	YurenHao0426
	Key finding: credit bridge advantage scales with nonlinearity. At alpha=1.0 (full tanh), CB > SB > DFA on both Gamma and rho at all depths. The crossover where CB surpasses SB happens around alpha=0.7-1.0. Full 4x4x3 grid complete with 3 seeds each. 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	Add experiment notes and .gitignore	YurenHao0426
	Track experiment phases (debug/pilot/frozen), key findings, and design decisions.
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.