Unverified
2026
Criticality-controlled sparsity schedule
Use the min-plus phase transition as a training-time controller: begin near p = 1/2 to preserve the initial active-state fraction across depth, then move above or below criticality to deliberately remove or create sparse pathways. The controller uses a measurable state variable, the activation zero fraction, rather than an arbitrary regularization coefficient.
Paper: Finite-depth scaling and an exact Bernoulli-leaf identity for the min-plus process on the binary tree
arXiv:2608.12295