Tootfinder

Higher-genus multiple zeta values
Konstantin Baune, Johannes Broedel, Egor Im, Zhexian Ji, Yannis Moeckli
https://arxiv.org/abs/2507.21765 https://arxiv.or…

Higher-genus multiple zeta values
Multiple zeta values arise as special values of polylogarithms defined on Riemann surfaces of various genera. Building on the vast knowledge for classical and elliptic multiple zeta values, we explore a canonical extension of the formalism to Riemann surfaces of higher genera, which yields higher-genus multiple zeta values. We provide a regularization prescription for higher-genus polylogarithms, which we extend to higher-genus multiple zeta values. Our regularization uses the Schottky uniformi…

Achieving Robust Channel Estimation Neural Networks by Designed Training Data
Dianxin Luan, John Thompson
https://arxiv.org/abs/2507.12630 https://

Achieving Robust Channel Estimation Neural Networks by Designed Training Data
Channel estimation is crucial in cognitive communications, as it enables intelligent spectrum sensing and adaptive transmission by providing accurate information about the current channel state. However, in many papers neural networks are frequently tested by training and testing on one example channel or similar channels. This is because data-driven methods often degrade on new data which they are not trained on, as they cannot extrapolate their training knowledge. This is despite the fact phy…

🏊‍♂️ Still no pool. Still chasing contractors.
One no-show after another, with zero communication. I get delays. What I don't get is being ghosted.
Third contractor showed promise. Local, knowledgeable, communicative. Now it’s a rain game.
Also: my desktop crashed mid-post. Overheating CPU drama. 3 years of weekly blog posts. Consecutive. No breaks.
Full update here −

Tooting My Own Horn: Three Years And Counting – Bob Mueller
I extended my weekly posting streak to three years this week. Still don't have the pool up. And I wonder about conspiracy theories.

More talk about quantum computers breaking encryption in the near future... and of course there's that thing about nation states, and possibly other bad actors, already hoovering up packet logs to later decrypt.
So, given the Post Quantum Cryptography that's coming online, I'd really love a browser feature/extension to alert me to when a site is using PQC.
Why? Becaus then I can change my password, secure in the knowledge that it can't be fished out of past packe…

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Eugenie Lai, Gerardo Vitagliano, Ziyu Zhang, Sivaprasad Sudhir, Om Chabra, Anna Zeng, Anton A. Zabreyko, Chenning Li, Ferdi Kossmann, Jialin Ding, Jun Chen, Markos Markakis, Matthew Russo, Weiyang Wang, Ziniu Wu, Michael J. Cafarella, Lei Cao, Samuel Madden, Tim Kraska

KramaBench: A Benchmark for AI Systems on Data-to-Insight Pipelines over Data Lakes
Constructing real-world data-to-insight pipelines often involves data extraction from data lakes, data integration across heterogeneous data sources, and diverse operations from data cleaning to analysis. The design and implementation of data science pipelines require domain knowledge, technical expertise, and even project-specific insights. AI systems have shown remarkable reasoning, coding, and understanding capabilities. However, it remains unclear to what extent these capabilities translate…

AI-based Environment-Aware XL-MIMO Channel Estimation with Location-Specific Prior Knowledge Enabled by CKM
Yuelong Qiu, Di Wu, Yong Zeng, Yanqun Tang, Nan Cheng, Chenhao Qi
https://arxiv.org/abs/2507.06066

AI-based Environment-Aware XL-MIMO Channel Estimation with Location-Specific Prior Knowledge Enabled by CKM
Accurate and efficient acquisition of wireless channel state information (CSI) is crucial to enhance the communication performance of wireless systems. However, with the continuous densification of wireless links, increased channel dimensions, and the use of higher-frequency bands, channel estimation in the sixth generation (6G) and beyond wireless networks faces new challenges, such as insufficient orthogonal pilot sequences, inadequate signal-to-noise ratio (SNR) for channel training, and mor…

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
Yinchao Yang, Zhaohui Yang, Chongwen Huang, Wei Xu, Zhaoyang Zhang, Dusit Niyato, Mohammad Shikh-Bahaei
https://arxiv.org/abs/2506.00522

Integrated Sensing, Computing and Semantic Communication for Vehicular Networks
This paper introduces a novel framework for integrated sensing, computing, and semantic communication (ISCSC) within vehicular networks comprising a roadside unit (RSU) and multiple autonomous vehicles. Both the RSU and the vehicles are equipped with local knowledge bases to facilitate semantic communication. The framework incorporates a secure communication design to ensure that messages intended for specific vehicles are protected against interception. In this model, an extended Kalman filter…

Wideband Coverage Enhancement for IRS-Aided Wireless Networks Based on Power Measurement
Ge Yan, Lipeng Zhu, He Sun, Rui Zhang
https://arxiv.org/abs/2506.23750

Wideband Coverage Enhancement for IRS-Aided Wireless Networks Based on Power Measurement
By applying tunable phase shifts to incident waves via passive signal reflection, intelligent reflecting surface (IRS) can offer significant performance improvement for wireless communication systems. To reap such performance gain, channel knowledge for IRS-cascaded links is generally required, which is practically challenging to acquire due to their high-dimensional and time-varying characteristics. Conventional pilot-based channel estimation incurs excessive overhead due to the large number o…