Tootfinder

Wet run, 6 miles, kept it under 9 minute mile on a new route up north (barely!). Found an abandoned farm house too, very lovely route. All but 200 feet were paved, mostly gravel and water, as former logging roads go 😆
Knee pain on my right afterward, forgot to bring the brace with on this trip, unfortunately. We’ll see how the rest of the week goes 🤞 Air quality tanks tomorrow too, winds coming from the north 😕

Demonstrator Testbed for Effective Precoding in MEO Multibeam Satellites
Jorge L. Gonz\'alez-Rios, Liz Mart\'inez Marrero, Juan Duncan, Luis M. Garc\'es-Socarr\'as, Raudel Cuiman Marquez, Juan A. V\'asquez Peralvo, Jevgenij Krivochiza, Symeon Chatzinotas, Bj\"orn Ottersten
https://arxiv.org/abs/2508.19657

Demonstrator Testbed for Effective Precoding in MEO Multibeam Satellites
The use of communication satellites in medium Earth orbit (MEO) is foreseen to provide quasi-global broadband Internet connectivity in the coming networking ecosystems. Multi-user multiple-input single-output (MU-MISO) digital signal processing techniques, such as precoding, emerge as appealing technological enablers in the forward link of multi-beam satellite systems operating in full frequency reuse (FFR). However, the orbit dynamics of MEO satellites pose additional challenges that must be c…

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
Federico Chiariotti, Andrea Zanella
https://arxiv.org/abs/2508.19141 https://

A Theory of Goal-Oriented Medium Access: Protocol Design and Distributed Bandit Learning
The Goal-oriented Communication (GoC) paradigm breaks the separation between communication and the content of the data, tailoring communication decisions to the specific needs of the receiver and targeting application performance. While recent studies show impressive encoding performance in point-to-point scenarios, the multi-node distributed scenario is still almost unexplored. Moreover, the few studies to investigate this consider a centralized collision-free approach, where a central schedul…

Joint Time-Position Statistics and Fisher Information in Drift-Diffusion Molecular Channels
Yun-Feng Lo, Yen-Chi Lee
https://arxiv.org/abs/2508.18680 https://

Joint Time-Position Statistics and Fisher Information in Drift-Diffusion Molecular Channels
This letter presents a closed-form characterization of the joint distribution of first arrival time (FAT) and first arrival position (FAP) in diffusion-based molecular communication (MC) systems with drift. Prior studies have investigated FAT modeling via inverse Gaussian distributions [1] and applied FAT statistics for parameter estimation and synchronization tasks [2], [3], while more recent work has characterized FAP for spatial channel analysis [4]. In contrast, we derive an explicit joint …

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
Ruosen Li, Ziming Luo, Quan Zhang, Ruochen Li, Ben Zhou, Ali Payani, Xinya Du
https://arxiv.org/abs/2506.20160

AALC: Large Language Model Efficient Reasoning via Adaptive Accuracy-Length Control
Large reasoning models (LRMs) achieve impressive reasoning capabilities by generating lengthy chain-of-thoughts, but this "overthinking" incurs high latency and cost without commensurate accuracy gains. In this work, we introduce AALC, a lightweight, accuracy-aware length reward integrated into reinforcement learning that dynamically balances correctness and brevity during training. By incorporating validation accuracy into the reward and employing a smooth, dynamically scheduled length penalty…

An Improved ChaCha Algorithm Based on Quantum Random Number
Chao Liu, Shuai Zhao, Chenhao Jia, Gengran Hu, Tingting Cui
https://arxiv.org/abs/2507.18157 https://

An Improved ChaCha Algorithm Based on Quantum Random Number
Due to the merits of high efficiency and strong security against timing and side-channel attacks, ChaCha has been widely applied in real-time communication and data streaming scenarios. However, with the rapid development of AI-assisted cryptanalysis and quantum computing technologies, there are serious challenges to the secure implementation of ChaCha cipher. To further strengthen the security of ChaCha cipher, we propose an improved variant based on quantum random numbers, i.e., Quantum Rando…

Agent Communications toward Agentic AI at Edge -- A Case Study of the Agent2Agent Protocol
Qiang Duan, Zhihui Lu
https://arxiv.org/abs/2508.15819 https://a…

Agent Communications toward Agentic AI at Edge -- A Case Study of the Agent2Agent Protocol
The current evolution of artificial intelligence introduces a paradigm shift toward agentic AI built upon multi-agent systems (MAS). Agent communications serve as a key to effective agent interactions in MAS and thus have a significant impact on the performance of agentic AI applications. The recent research on agent communications has made exciting rapid progress that leads to a variety of protocol designs, among which the Agent2Agent (A2A) protocol is considered the most representative one. S…

I first read "Mother Earth, Mother Board" by Neal Stephenson around 15 years ago. It included a visit to the Telegraph Museum (now PK Porthcurno Museum of Global Communications) at Porthcurno in Cornwall, and I finally got to go there. One of the things that Stephenson describes is a collection of faulty cables. And its still on display.

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
Rithesh Murthy, Ming Zhu, Liangwei Yang, Jielin Qiu, Juntao Tan, Shelby Heinecke, Huan Wang, Caiming Xiong, Silvio Savarese
https://arxiv.org/abs/2507.14241

Promptomatix: An Automatic Prompt Optimization Framework for Large Language Models
Large Language Models (LLMs) perform best with well-crafted prompts, yet prompt engineering remains manual, inconsistent, and inaccessible to non-experts. We introduce Promptomatix, an automatic prompt optimization framework that transforms natural language task descriptions into high-quality prompts without requiring manual tuning or domain expertise. Promptomatix supports both a lightweight meta-prompt-based optimizer and a DSPy-powered compiler, with modular design enabling future extension …

Full-Duplex Beamforming Optimization for Near-Field ISAC
Ahsan Nazar, Zhambyl Shaikhanov, Sennur Ulukus
https://arxiv.org/abs/2508.14753 https://arxiv.org/…

Full-Duplex Beamforming Optimization for Near-Field ISAC
Integrated Sensing and Communications (ISAC) is a promising technology for future wireless networks, enabling simultaneous communication and sensing using shared resources. This paper investigates the performance of full-duplex (FD) communication in near-field ISAC systems, where spherical-wave propagation introduces unique beam-focusing capabilities. We propose a joint optimization framework for transmit and receive beamforming at the base station to minimize transmit power while satisfying ra…