Addressed functional concerns from third review:
1. Surrogate-noise gate was statistically weak — "random Sharpe ≤ 0.5×
trained Sharpe on same val data" could be satisfied by sample
noise. Replaced with percentile-based test:
* Pool all 6 val folds (~600 trades) for statistical power.
* Run N=30 surrogate random-action rollouts (matched marginal
action distribution — so difference is state-action mapping,
not action frequency).
* Assert trained pooled Sharpe > 95th-percentile of surrogate
distribution. Explicit false-positive control.
2. Escalation path ("scope exceeds sub-project A v2") was hand-wavy.
Now concrete: failure after 3 iterations → paused, not closed →
triage spec opened with evidence summary + diagnosis (policy/
reward/state/architecture/data bottleneck) + explicit decision
(continue on feat/policy-quality or fork feat/policy-quality-v2).
Triage itself is a full brainstorming cycle.
3. HEALTH_DIAG §4.2 Track 1 fields only covered H1–H5 — H6–H10
needed their own detection signals. Added:
- trail_fire_rate_{quarter,half,full} (H6)
- hold_time_at_exit_{quarter,half,full} (H6)
- vsn_mask_{magnitude,direction} (H7)
- noisy_sigma_{mag_head,dir_head} (H7)
- target_drift_{mag_head,dir_head} (H8)
- action_dist_eval_{quarter,half,full} (H10)
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