Scalable Mamba-Based Message-Passing Neural Decoder for Error-Correcting Codes

ArXi:2605.10681v1 Announce Type: cross Forward error correction is essential for reliable communication over noisy channels. Attention-based model-free neural decoders have shown strong performance for short codes, but their scalability to longer codes is limited by the quadratic memory and computational cost of attention. In this paper, we