Mamba-3: Improved Sequence Modeling Using State Space Principles

arXiv 2603.15569·medium signal

Mamba-3 targets the inference efficiency bottleneck as inference-time compute scaling becomes a primary LLM performance driver. The updated SSM design addresses long-context latency and KV-cache overhead with sub-quadratic scaling properties. Directly relevant for cost-sensitive agentic pipelines where transformer attention at 100K+ token contexts is the binding cost constraint.