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@@ -171,6 +171,12 @@ Trajectory:
- \(Q_l(t)\), \(\Gamma_t\), and \(\Delta L_T\).
- redundancy-exhaustion transition.
+Initial implementation note:
+
+- Start with synthetic full-batch regression and no-bias MLPs.
+- Record same-point gradient alignment by computing BP and FA gradients at the FA weights.
+- Treat early trajectory runs as instrumentation checks before drawing distributional conclusions.
+
## 9. Discussion
Key points: