SOURCE-LINKED INTELLIGENCE
Non-Commutative State Tracking with Input-Dependent Low-Rank Updates in Mamba-3
State tracking from sequential observations can require both retaining information and updating it by composing observed operations. We extend Mamba-3's diagonal transition with an input-dependent low-rank reflection term to support noncommutative state tracking, in which the order of operations matters. The rank-one update couples state coordinates along an input-dependent direction, enabling non-diagonal state transitions within a single Mamba-3 block. The extension preserves Mamba-3's exponential-trapezoidal discretization, rotary embeddings (RoPE), and readout. For training, we adapt chunk
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-09-23T15:27:07.000Z
First collected: 2026-09-24T08:22:30.429Z. This is not the publication date.