Unverified50% confidenceFactExact time
The SSD (State Space Duality) framework proposed by Mamba-2 reveals that SSMs with a specific structure are mathematically equivalent to a masked form of linear attention, allowing training to be parallelized using matrix multiplication.
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50%
Confidence
Long-term
Relevance
10/14/2026
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Related Claims
UnverifiedMost SSM and linear attention models use a linear attention mechanism at the bottom layer, with Mamba-2 implemented through the SSD structure and xLSTM implemented through covariance updates.76% similarUnverifiedSSM 是一类以线性递推方式处理序列的架构，代表如 Mamba、Mamba-2 等。72% similarVerifiedState space models (SSMs) such as Mamba abandon the attention mechanism and use recurrent structures to achieve linear time complexity sequence modeling.72% similarVerifiedMamba 等基于状态空间模型（SSM）的架构以线性复杂度实现序列建模，更适合实时推理70% 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.67% similar
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