faeval.git/report_explore/MEMO_8_schedule_timing.md, branch master Unnamed repository; edit this file 'description' to name the repository. Add Phase 8: schedule timing test — online co-learning is the remaining bottleneck 2026-03-25T19:23:13+00:00 YurenHao0426 Blackhao0426@gmail.com 2026-03-25T19:23:13+00:00 3ec9a5cd63b4578999d89b49f5223024a1acb723 Vec_only_from_0: 15.4% (cold-start failure, can't learn credit on random features) DFA_only: 31.2% (remains best non-BP method) DFA_then_Vec_T20: 12.9% (switching to Vec destroys DFA-built features) Vec_T5_then_DFA: 26.6% (partial recovery but still worse than pure DFA) Phase 7A's early-window finding doesn't transfer: it required offline-trained Vec on frozen features. Online Vec estimator faces cold-start paradox — needs structured features to learn credit, but structured features need good credit to form. Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com> 
Vec_only_from_0: 15.4% (cold-start failure, can't learn credit on random features)
DFA_only: 31.2% (remains best non-BP method)
DFA_then_Vec_T20: 12.9% (switching to Vec destroys DFA-built features)
Vec_T5_then_DFA: 26.6% (partial recovery but still worse than pure DFA)

Phase 7A's early-window finding doesn't transfer: it required offline-trained Vec
on frozen features. Online Vec estimator faces cold-start paradox — needs structured
features to learn credit, but structured features need good credit to form.

Co-Authored-By: Claude Opus 4.6 (1M context) <noreply@anthropic.com>