cs.NI · 2026-08-09 · No. 79

Networking and Internet Architecture, 2026-08-09.

3 new papers in cs.NI. Titles, authors, abstracts. Links to arXiv. Want this in your inbox every morning? Subscribe →

01 — The papers

3 entries
  1. 01

    From Passive Mirrors to Active Agents: Holonic Digital Twins for Physical AI over Networks

    Christo Kurisummoottil Thomas, Omar Hashash, Walid Saad

    cs.NI · cs.AI · cs.IT · eess.SY

    Despite advances in artificial intelligence (AI) across multiple sectors, today's AI tools, including deep learning and generative AI, still fail when embedded into physical systems, such as robots and vehicles operating under real-world physical laws. This stems from their inability to maintain reliable world models for long-horizon planning under uncertainty and generalize to unseen scenarios. In this context, wireless networks, through...

    arxiv.org/abs/2608.06227 · PDF

  2. 02

    ML-for-ML

    Yutong Zhao, Noga H. Rotman, Gianni Antichi, Ran Ben Basat

    cs.NI · cs.DC · cs.LG

    AI training workloads are growing rapidly, making their time, energy, and infrastructure costs increasingly important. In shared cloud clusters, training and fine-tuning jobs compete with co-running workloads for network resources, while network mechanisms and ML training choices are typically optimized separately: networking controls how bytes move, whereas ML systems control when and how much communication occurs. We argue that this...

    arxiv.org/abs/2608.06046 · PDF

  3. 03

    BALANCE: Hybrid Autoregressive-Speculative LLM Inference in Wireless Edge Networks

    Guanqiao Qu, Shuo Chen, Qian Chen, Kin K. Leung, Xianhao Chen

    cs.NI · cs.AI

    Edge inference is a promising paradigm to provide large language model (LLM) inference services in next-generation mobile networks. LLM inference mainly relies on two approaches: Autoregressive decoding (AD) generates output tokens sequentially, resulting in long latency; Speculative decoding (SD) accelerates inference by using a small language model (SLM) to generate multiple draft tokens for LLM verification, but incurs extra memory costs....

    arxiv.org/abs/2608.05926 · PDF

This edition is part of The Daily Abstract — cs.NI archive. Subscribe to receive these in your inbox each morning, automatically translated to Spanish, with reply-to-PDF: arxivdaily.ignorelist.com.

Colophon Set in Georgia, with system sans for interface chrome and a monospaced stack for code and paper identifiers. Sole accent: amber #D99C5E. Built and served on an always-free VM. The masthead is set 14% letterspaced because newspapers do that and it works.