The paper introduces Memory-Augmented Source Coding (MASC), a scheme that embeds contextual patterns into a source model to improve robustness in low‑SNR communications. MASC uses a shared Parameterized Contextual Memory (PCM) for multi‑order n‑gram patterns and a Mixture‑of‑Memory‑Experts Router (MMER) to selectively activate memory experts based on hidden states, thereby refining probability estimates and shortening code length. Experiments on Rayleigh fading and AWGN channels show that MASC reduces decoding sensitivity to residual channel errors compared to traditional SSCC with autoregressive decoding and LLM‑based Arithmetic Coding.
By Ziqiong Wang, Rongpeng Li, Zhifeng Zhao, Honggang Zhang
Learned image compression (LIC) has achieved impressive rate-distortion performance. However, existing methods remain highly vulnerable to packet loss, a common challenge in satellite and emergency communications.
arXiv:2606. 06273v1 Announce Type: cross Abstract: Lossless pixel-level image transmission is a fundamental regime beyond semantic communications, because exact recovery requires both accurate symbol probability modeling and reliable delivery over noisy channels.
By Tianqi Ren, Rongpeng Li, Xianfu Chen, Yingyu Li, Zhifeng Zhao
arXiv:2606. 12858v1 Announce Type: cross Abstract: Conventional communication systems, including both separation-based coding and learning-based joint source-channel coding (JSCC), are typically designed under Shannon's rate-distortion theory.
By Tong Wu, Zhiyong Chen, Guo Lu, Li Song, Feng Yang, Meixia Tao, Wenjun Zhang
arXiv:2606. 09135v1 Announce Type: cross Abstract: We demonstrate that widely deployed Large Language Model (LLM) inference stacks harbor a steganographic channel that requires no modification to model weights, sampling code, or output distributions.
By Felix M\"achtle, Jonas Sander, Sebastian Berndt, Ben Weimar, Nils Loose, Thomas Eisenbarth
arXiv:2607. 08643v1 Announce Type: new Abstract: Large language models (LLMs) are increasingly constrained by memory capacity, weight bandwidth, and checkpoint storage during deployment.
By Yuantian Shao, Peisong Wang, Zhilei Liu, Chuangyi Li, Yuanteng Chen, Pengcheng Xie, Yiwu Yao, Zhihui Wei, Jian Cheng