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Methodology · § 04 / 05

Regulators / Objectives

Alpha-v2.4.18-mini (model_id = 6) · by Quant Lab · V2.4.18 pure-size compression — CSC cell of the 2×2 experimental matrix

Regulator set identical to v2.4.18 — Phase 19-20 branch-isolation principle, deadzone-gated anti-pattern penalties (action_l2, action_diversity, direction_inbalance), distributional CVaR penalty in the actor objective, q_crossing for per-sym quantile monotonicity. CSC knobs (csc_momentum, csc_eps, csc_apply_*) carry over unchanged. No regulator-level differences between full and mini — only the underlying capacity scales.

Role in the experimental matrix. v2.4.18-mini occupies the lower-right cell of a 2×2 grid spanning {capacity: full / mini} × {CSC: off / on}:

  full   d_model 128 :   v2.4.4         v2.4.18
  mini   d_model 64  :   v2.4.4-mini    v2.4.18-mini

Horizontal pairs isolate the CSC effect at each capacity scale; vertical pairs isolate the capacity effect at each architecture; the diagonal exposes interaction effects. Without the complete 2×2, any conclusion about CSC vs capacity stays confounded.

Trade-offs. Pure size reduction preserves full architectural semantics at the cost of: lower representation headroom (though full-model capacity utilization was already ~14% of d_model = 128), slower convergence to peak performance on large datasets, reduced buffer diversity span. v2.4.18-mini is a research tool for controlled comparisons and methodology validation — not a deployment target.

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Regulators / Objectives — Alpha-v2.4.18-mini — PROGMATIC