Add Phase 8: schedule timing test — online co-learning is the remaining bottleneck

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>

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