mamba-state-space-model-linear-complexity

Summary

Mamba processes a sequence by maintaining and updating a running internal state rather than computing pairwise relationships between every token, which means the cost of handling longer and longer inputs grows in direct proportion to their length instead of exploding quadratically. This makes it a practical route for scaling sequence models to very long contexts where traditional attention becomes prohibitively expensive.