Ghost Attractor Networks: Basin-Structured Dynamical Decoders for Closed-Loop Sequential Generation

In three linesGhost Attractor Networks introduce an efficient dynamical decoder for sequential generation in robotics. With 2.3M parameters, it matches the offline accuracy of a 1.07B-parameter Diffusion Transformer (462× fewer parameters, 32× lower latency). On LIBERO-10, phase conditioning improves success rate by 13.5 percentage points over MLP baseline.

Summary generated by Claude — human-verified