AI RESEARCH
Tiny Recursive Reasoning with Mamba-2 Attention Hybrid
arXiv CS.AI
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ArXi:2602.12078v2 Announce Type: replace Recent work on recursive reasoning models like TRM nstrates that tiny networks (7M parameters) can achieve strong performance on abstract reasoning tasks through latent recursion -- iterative refinement in hidden representation space without emitting intermediate tokens. This raises a natural question about operator choice: Mamba-2's state space recurrence is itself a form of iterative refinement, making it a natural candidate for recursive reasoning -- but does.