AI RESEARCH
Looped SSMs: Depth-Recurrence and Input Reshaping for Time Series Classification
arXiv CS.AI
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ArXi:2605.16048v1 Announce Type: cross State Space Models (SSMs) are inherently recurrent along the sequence dimension, yet depth-recurrence - reusing the same block repeatedly across layers, as recently applied in looped transformers - has not been explored in this model family.