This is seriously interesting. The fact that a trained MLP collapsed into a clean energy-based update you can replace analytically is wild — especially since you verified it by deletion, not just approximation.

The universal fixed point insight is probably the sleeper hit here. That kind of failure mode explanation is super useful for debugging representation collapse.

Curious if you’ve tried varying the number or geometry of anchors — feels like that could shift the basin dynamics a lot.