SPIN Unprocessed October 23, 2026 ai_technology research
baseVultra: Compact Nonlinear Recurrence with Reallocated Capacity
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arXiv:2610.30154v1 Announce Type: new Abstract: Nonlinear recurrent networks remain useful for streaming sequence modeling, yet gated cell design is still dominated by LSTM and GRU. We study whether recurrent computation can be reallocated away from gate transforms and toward candidate generation. We propose baseVultra, a compact recurrent cell that concentrates the dense recurrent budget on a single H x H candidate-generation matrix, while replacing recurrent gate matrices with O(H) diagonal in
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