Reproduced and extended results on closed-form Flow Matching, studying why finite-data optimal velocity fields memorize while neural networks generalize.

Derived the Flow Matching / diffusion probability-flow ODE equivalence and validated t_C ~ log(n)/d through dimension, capacity, geometry, and Exact Flow Matching ablations.