Preprint
May 2026
MUX: Continuous Reasoning via Multiplexed Tokens
MUX, a simple method for high-bandwidth and compact reasoning based on distillation of discrete reasoning into continuous multiplexed tokens in a latent space, is proposed and suggests that lossless superposition as local learning targets constitutes a sufficient condition for achieving strong and efficient latent continuous reasoning.
Ayhan Suleymanzade, Halil Alperen Gozeten, Michael M. Bronstein et al.
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