feat(crt-train): add SMOOTHNESS_LAMBDA_RATIO const in heads.rs

crates/ml-alpha/src/heads.rs

@@ -24,6 +24,20 @@ pub const PROJ_DIM: usize = 8;
 /// HEAD_MID_H define in `cuda/multi_horizon_heads.cu`.
 pub const HEAD_MID_DIM: usize = 64;
 
+/// Per-horizon multiplier for the output-smoothness regularizer (CRT.train
+/// intervention A). λ[h] = `smoothness_base_lambda × SMOOTHNESS_LAMBDA_RATIO[h]`,
+/// computed at `PerceptionTrainer` construction and uploaded once to the
+/// device buffer `smoothness_lambda_d`. Ratio scales with horizon length
+/// to force slow horizons (h6000) to change ~200× more slowly than fast
+/// ones (h30). See `docs/superpowers/specs/2026-05-20-crt-train-output-smoothness-design.md` §3.1.
+pub const SMOOTHNESS_LAMBDA_RATIO: [f32; N_HORIZONS] = [
+    1.0,             // h30:    K_h / K_min = 30 / 30
+    100.0 / 30.0,    // h100:   ≈ 3.333
+    300.0 / 30.0,    // h300:   = 10.0
+    1000.0 / 30.0,   // h1000:  ≈ 33.333
+    6000.0 / 30.0,   // h6000:  = 200.0
+];
+
 #[derive(Clone, Debug)]
 pub struct HeadsWeights {
     pub w: Vec<f32>, // [5, 128] row-major