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