Beats tuned baseline
2026
Spectral pinning of neural modules
Represent communicating layers, experts, or distributed workers as nodes of a weighted graph and apply strong corrective updates only to a small pinned subset. Select pins by the increase they produce in the grounded Laplacian smallest eigenvalue, because this spectral gap predicts the decay rate of representation disagreement.
Paper: Event-Triggered Pinning Impulsive Control of Complex Networks with Actuation Delays: Stability Analysis and Zeno-Free Conditions
arXiv:2608.24074