An explicit operator explains end-to-end computation in the modern neural networks used for sequence and language modeling

ArXi:2604.20595v1 Announce Type: cross We establish a mathematical correspondence between state space models, a state-of-the-art architecture for capturing long-range dependencies in data, and an exactly solvable nonlinear oscillator network. As a specific example of this general correspondence, we analyze the diagonal linear time-invariant implementation of the Structured State Space Sequence model (S4