Learned geometry exponents in KANs provide interpretable signals that reveal consistent, target-dependent geometric ordering across equation families

Learned exponents provide an interpretable, relative signal: at a fixed initialisation they reveal a consistent, target-dependent geometric ordering across equation families and input dimensions.

http://arxiv.org/abs/2608.25807v1