Tootfinder

Network Cross-Validation for Nested Models by Edge-Sampling: Selection Consistency
Bokai Yang
https://arxiv.org/abs/2506.14244 https://

Network Cross-Validation for Nested Models by Edge-Sampling: Selection Consistency
In the network literature, a wide range of statistical models have been proposed to exploit structural patterns in the data. Therefore, model selection between different models is a fundamental problem. Cross-validation is a powerful candidate to solve this problem, and Li et al. have already proposed an edge-sampling procedure to choose the number of communities in the block model framework. In this paper, we propose a penalized edge-sampling cross-validation framework for nested network model…

An Annotated Translation of D. Bernoulli's "A New Theory on the Motion of Waters Through Channels of Any Kind"
Sylvio R. Bistafa
https://arxiv.org/abs/2506.14905

An Annotated Translation of D. Bernoulli's "A New Theory on the Motion of Waters Through Channels of Any Kind"
This paper presents an annotated English translation of Daniel Bernoulli's 1727 work A New Theory on the Motion of Waters through Channels of Any Kind, originally published in the Commentarii Academiae Scientiarum Imperialis Petropolitanae. Written over a decade before his renowned Hydrodynamica (1738), this early treatise reveals D. Bernoulli's foundational approach to fluid motion based on the conservation of vis viva-the kinetic energy of moving bodies-at a time when the principle was still …

Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications
Vasileios Leon, George Lentaris, Dimitrios Soudris, Simon Vellas, Mathieu Bernou
https://arxiv.org/abs/2506.12970

Towards Employing FPGA and ASIP Acceleration to Enable Onboard AI/ML in Space Applications
The success of AI/ML in terrestrial applications and the commercialization of space are now paving the way for the advent of AI/ML in satellites. However, the limited processing power of classical onboard processors drives the community towards extending the use of FPGAs in space with both rad-hard and Commercial-Off-The-Shelf devices. The increased performance of FPGAs can be complemented with VPU or TPU ASIP co-processors to further facilitate high-level AI development and in-flight reconfigu…

Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels
Cl\'ement Parssegny, Johan Mazel, Olivier Levillain, Pierre Chifflier
https://arxiv.org/abs/2506.08922

Striking Back At Cobalt: Using Network Traffic Metadata To Detect Cobalt Strike Masquerading Command and Control Channels
Off-the-shelf software for Command and Control is often used by attackers and legitimate pentesters looking for discretion. Among other functionalities, these tools facilitate the customization of their network traffic so it can mimic popular websites, thereby increasing their secrecy. Cobalt Strike is one of the most famous solutions in this category, used by known advanced attacker groups such as "Mustang Panda" or "Nobelium". In response to these threats, Security Operation Centers and other…

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs
Sota Nakashima, Yuta Ishimoto, Masanari Kondo, Tao Xiao, Yasutaka Kamei
https://arxiv.org/abs/2506.09601

ASTAGEN: Empirical Evaluation of Automated SATD Taxonomy Generation with LLMs
Technical debt refers to suboptimal code that degrades software quality. When developers intentionally introduce such debt, it is called self-admitted technical debt (SATD). Since SATD hinders maintenance, identifying its categories is key to uncovering quality issues. Traditionally, constructing such taxonomies requires manually inspecting SATD comments and surrounding code, which is time-consuming, labor-intensive, and often inconsistent due to annotator subjectivity. This study presents ASTA…

Self-Sustaining Multi-Sensor LoRa-Based Activity Monitoring for Community Workout Parks
Victor Luder, Michele Magno
https://arxiv.org/abs/2506.03203 https:…

Self-Sustaining Multi-Sensor LoRa-Based Activity Monitoring for Community Workout Parks
With the rise of the Internet of Things (IoT), more sensors are deployed around us, covering a wide range of applications from industry and agriculture to urban environments such as smart cities. Throughout these applications the sensors collect data of various characteristics and support city planners and decision-makers in their work processes, ultimately maximizing the impact of public funds. This paper introduces the design and implementation of a self-sustaining wireless sensor node design…

This https://arxiv.org/abs/2502.00561 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csCY_…

Position: Evaluating Generative AI Systems Is a Social Science Measurement Challenge
The measurement tasks involved in evaluating generative AI (GenAI) systems lack sufficient scientific rigor, leading to what has been described as "a tangle of sloppy tests [and] apples-to-oranges comparisons" (Roose, 2024). In this position paper, we argue that the ML community would benefit from learning from and drawing on the social sciences when developing and using measurement instruments for evaluating GenAI systems. Specifically, our position is that evaluating GenAI systems is a social…

Reply to the Comment on "Shell-Shaped Quantum Droplet in a Three-Component Ultracold Bose Gas"
Yinfeng Ma, Xiaoling Cui
https://arxiv.org/abs/2506.01436

Reply to the Comment on "Shell-Shaped Quantum Droplet in a Three-Component Ultracold Bose Gas"
In our work (Phys. Rev. Lett. 134, 043402 (2025)), we have proposed to realize a shell-shaped BEC with self-bound character in a three-component ($1,2,3$) Bose gas, where $(2,3)$ and $(1,2)$ both form quantum droplets and meanwhile are linked as core-shell structure. It was then commented in 2505.16554 that such structure is unstable against decaying to a ``dimer" configuration with lower energy, and moreover, it is ``most likely" impossible to be realized after releasing from the trap. In cont…

Comment on "Long-range crossed Andreev reflection in a topological insulator nanowire proximitized by a superconductor" by Junya Feng et al
E. S. Tikhonov, V. S. Khrapai
https://arxiv.org/abs/2505.23490

Comment on "Long-range crossed Andreev reflection in a topological insulator nanowire proximitized by a superconductor" by Junya Feng et al
We argue that the interpretation of the experiment [Nature Physics 21, 708-715 (2025)] is misleading in two respects. First, the bias voltages impact the non-local differential conductance randomly, rather than systematically, and the bias symmetry of the non-local conductance in Fig. 3 can be explained by a fine tuned self-gating effect. Second, the full knowledge of the conductance matrix is insufficient to conclude on the relative values of the crossed-Andreev and elastic cotunneling probabi…

This https://arxiv.org/abs/2505.01136 has been replaced.
initial toot: https://mastoxiv.page/@arXiv_csSE_…

Descriptor: C++ Self-Admitted Technical Debt Dataset (CppSATD)
In software development, technical debt (TD) refers to suboptimal implementation choices made by the developers to meet urgent deadlines and limited resources, posing challenges for future maintenance. Self-Admitted Technical Debt (SATD) is a sub-type of TD, representing specific TD instances ``openly admitted'' by the developers and often expressed through source code comments. Previous research on SATD has focused predominantly on the Java programming language, revealing a significant gap in …