Author

Ali Nasiri-Sarvi

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#machine learning Preprint Sep 2026

Fractional State Space Transition for Long Sequence Modeling

State Space Models (SSMs) compress sequence history into a bounded recurrent state, making the resulting memory law a central architectural choice for long-context performance. Most modern SSMs rely on ODE-based dynamics that lead to exponential forgetting, limiting their ability to retain information over broad tempor...

I. Kobyzev, Abbas Ghaddar, Ali Nasiri-Sarvi et al. · 0 citations