Unverified50% confidenceFactExact time
Selective scan is the core operation of the Mamba family of SSMs, and its discretization parameter Δ, input matrix B and output matrix C all change dynamically with each token.
1
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50%
Confidence
Long-term
Relevance
10/19/2026
First Seen
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Related Claims
UnverifiedSSM is a class of architectures that process sequences in a linear recurrent manner, with representatives such as Mamba and Mamba-2.79% similarUnverifiedTypical representatives of state space models include S4, Mamba and others, which write the recurrence as a continuous differential equation or discrete linear recurrence and achieve efficient parallel training with the help of convolution or selective scan.71% similarUnverifiedMamba's key innovation is making the SSM's B and C matrices and the step size Δ functions of the input, thereby gaining content-aware gating capability while retaining linear complexity.71% similarUnverifiedThe state recurrence of an SSM is essentially a composition of affine transformations, and the composition of affine transformations is associative, so scan algorithms can be applied.70% similarUnverifiedDuring inference, Mamba can run in pure recurrent mode with constant memory usage.67% similar
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