MaRK: Markov-adapted Recurrent Kernels for Dynamic Operator Conditioning in State Space Models.

arXiv:2610.09092v3 Announce Type: replace-cross Abstract: State Space Models (SSMs) offer an efficient alternative to Transformers for sequence modeling, yet conditioning pre-trained SSMs for iterative generation typically operates outside the recurrent operat