Tootfinder

Coming soon (likely this afternoon, I’m writing tests and docs and updating examples as we speak)…
This is the sort of thing you’ll be able to do with Markdown pages. Just pop any arbitrary JavaScript you want in the new script block in the front matter and then import and use components as well as plain old JavaScript tagged template variable interpolation (not shown in this example) inside your Markdown.
The screen has all the code (sans the end of the last line of CSS and the…

Nvidia and Intel announce a partnership to develop multiple new generations of x86 products; Nvidia will purchase $5B of Intel stock at $23.28 per share (Paul Alcorn/Tom's Hardware)

Nvidia and Intel announce jointly developed 'Intel x86 RTX SOCs' for PCs with Nvidia graphics, also custom Nvidia data center x86 processors — Nvidia buys $5 billion in Intel stock in seismic deal
Cats and Dogs, living together!

A robust and compliant robotic assembly control strategy for batch precision assembly task with uncertain fit types and fit amounts
Bin Wang, Jiwen Zhang, Song Wang, Dan Wu
https://arxiv.org/abs/2508.12296

A robust and compliant robotic assembly control strategy for batch precision assembly task with uncertain fit types and fit amounts
In some high-precision industrial applications, robots are deployed to perform precision assembly tasks on mass batches of manufactured pegs and holes. If the peg and hole are designed with transition fit, machining errors may lead to either a clearance or an interference fit for a specific pair of components, with uncertain fit amounts. This paper focuses on the robotic batch precision assembly task involving components with uncertain fit types and fit amounts, and proposes an efficient method…

Trying to pick a CSS framework to learn.
Bootstrap comes from Twitter, so no thank you by principle.
Tailwind CSS seems completely dumb since it defeats the whole point of using a class system to design reusable components. The magic detection of class names in the codebase looks scary af.
W3.CSS does not seem to be used by anyone.
PureCSS and Spectre.CSS seems to be abandonware.
I mean, the fuck I am supposed to pick?

MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components
Sangjun Cha, M. James Jee
https://arxiv.org/abs/2508.13262 https://

MrMARTIAN: A Multi-resolution Mass Reconstruction Algorithm Combining Free-form and Analytic Components
We present ${\tt MrMARTIAN}$ (Multi-resolution MAximum-entropy Reconstruction Technique Integrating Analytic Node), a new hybrid strong lensing (SL) modeling algorithm. By incorporating physically motivated analytic nodes into the free-form method ${\tt MARS}$, ${\tt MrMARTIAN}$ enables stable and flexible mass reconstructions while mitigating oversmoothing in the inner mass profile. Its multi-resolution framework increases the degrees of freedom in regions with denser strong lensing constraint…

Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
Jukka Ruohonen, Sani Abdullahi, Abhishek Tiwari
https://arxiv.org/abs/2509.13117

Vulnerability Patching Across Software Products and Software Components: A Case Study of Red Hat's Product Portfolio
Motivated by software maintenance and the more recent concept of security debt, the paper presents a time series analysis of vulnerability patching of Red Hat's products and components between 1999 and 2024. According to the results based on segmented regression analysis, the amounts of vulnerable products and components have not been stable; a linear trend describes many of the series well. Nor do the amounts align well with trends characterizing vulnerabilities in general. There are also visi…

Series D, Episode 03 - Traitor
FORBUS: [Interrupts] Now don't waste time thanking me my friends, you must hurry!
[Communications control room]
TRACER: Flight commander wants clearance to launch, sir.
QUUTE: All right, go ahead. [The General enters]
https://blake.torpidity.net/m/403/405

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers
Andrei Chertkov, Artem Basharin, Mikhail Saygin, Evgeny Frolov, Stanislav Straupe, Ivan Oseledets
https://arxiv.org/abs/2509.15113

Low-rank surrogate modeling and stochastic zero-order optimization for training of neural networks with black-box layers
The growing demand for energy-efficient, high-performance AI systems has led to increased attention on alternative computing platforms (e.g., photonic, neuromorphic) due to their potential to accelerate learning and inference. However, integrating such physical components into deep learning pipelines remains challenging, as physical devices often offer limited expressiveness, and their non-differentiable nature renders on-device backpropagation difficult or infeasible. This motivates the develo…

GTool: Graph Enhanced Tool Planning with Large Language Model
Wenjie Chen, Wenbin Li, Di Yao, Xuying Meng, Chang Gong, Jingping Bi
https://arxiv.org/abs/2508.12725 https://

GTool: Graph Enhanced Tool Planning with Large Language Model
Tool planning with large language models (LLMs), referring to selecting, organizing, and preparing the tools necessary to complete a user request, bridges the gap between natural language understanding and task execution. However, current works treat different tools as isolated components and fail to leverage the inherent dependencies of tools, leading to invalid planning results. Since tool dependencies are often incomplete, it becomes challenging for LLMs to accurately identify the appropriat…

FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts
Jiayi Han, Liang Du, Yinda Chen, Xiao Kang, Weiyang Ding, Donghong Han
https://arxiv.org/abs/2509.14900

FURINA: Free from Unmergeable Router via LINear Aggregation of mixed experts
The Mixture of Experts (MoE) paradigm has been successfully integrated into Low-Rank Adaptation (LoRA) for parameter-efficient fine-tuning (PEFT), delivering performance gains with minimal parameter overhead. However, a key limitation of existing MoE-LoRA methods is their reliance on a discrete router, which prevents the integration of the MoE components into the backbone model. To overcome this, we propose FURINA, a novel Free from Unmergeable Router framework based on the LINear Aggregation o…

CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning
Saisai Xia, Wenhao Wang, Zihao Wang, Yuhui Zhang, Yier Jin, Dan Meng, Rui Hou
https://arxiv.org/abs/2508.12264

CryptPEFT: Efficient and Private Neural Network Inference via Parameter-Efficient Fine-Tuning
Publicly available large pretrained models (i.e., backbones) and lightweight adapters for parameter-efficient fine-tuning (PEFT) have become standard components in modern machine learning pipelines. However, preserving the privacy of both user inputs and fine-tuned adapters -- often trained on sensitive data -- during inference remains a significant challenge. Applying cryptographic techniques, such as multi-party computation (MPC), to PEFT settings still incurs substantial encrypted computatio…

🪝 Researchers develop hook-and-loop fastener for building components
#buildings

Researchers develop hook-and-loop fastener for building components
An interdisciplinary research team at Graz University of Technology (TU Graz) has developed a hook-and-loop fastening system for buildings in the ReCon project together with company partners. This allows different parts of a building to be resiliently connected and, if necessary, easily separated from each other.

Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
Yanming Xiu, Joshua Chilukuri, Shunav Sen, Maria Gorlatova
https://arxiv.org/abs/2508.12498

Say It, See It: A Systematic Evaluation on Speech-Based 3D Content Generation Methods in Augmented Reality
As augmented reality (AR) applications increasingly require 3D content, generative pipelines driven by natural input such as speech offer an alternative to manual asset creation. In this work, we design a modular, edge-assisted architecture that supports both direct text-to-3D and text-image-to-3D pathways, enabling interchangeable integration of state-of-the-art components and systematic comparison of their performance in AR settings. Using this architecture, we implement and evaluate four rep…

Interesting,
"One Token to rule them all - obtaining Global Admin in every Entra ID tenant via Actor tokens"
https://dirkjanm.io/obtaining-global-admin-in-every-entra-id-tenant-with-actor-tokens/

The Integral Chow Rings of the Moduli Stacks of Hyperelliptic Prym Pairs III
Alessio Cela, Alberto Landi
https://arxiv.org/abs/2509.15186 https://arxiv.org…

The Integral Chow Rings of the Moduli Stacks of Hyperelliptic Prym Pairs III
This paper is the third and final part of a series devoted to the description of the integral Chow rings of the moduli stacks of hyperelliptic Prym pairs. For a fixed genus $g$, there are two natural stacks, $\mathcal{RH}_g$ and $\widetilde{\mathcal{RH}}_g$, parametrizing hyperelliptic Prym pairs, with the former being the $μ_2$-rigidification of the latter. Both decompose as the disjoint union of $\lfloor (g+1)/2 \rfloor$ components, denoted $\mathcal{RH}_g^n$ and $\widetilde{\mathcal{RH}}_g^…

Atomic Radial Correlation Energy Density Components
Ibrahim E. Awad, Abd Al-Aziz A. Abu-Saleh, Gurleen Cheema, Joshua W. Hollett, Raymond A. Poirier
https://arxiv.org/abs/2509.12580

Atomic Radial Correlation Energy Density Components
The components of the radial correlation energy density are calculated and analyzed for the atoms from He to Ar. The components include the nucleus-electron potential correlation energy density, the kinetic correlation energy density and the electron-electron potential correlation energy density. The necessary correlated one and two-electron density matrices are obtained from the Extrapolated-Full-Configuration-Interaction (exFCI) wave function where the reference wave function is restricted Ha…

Some things I don't know and would like to know:
1. What is the life expectancy of current generation photovoltaic #solarpower panels?
2. What is the physical process which causes degradation?
3. At the end of economic life, could they be refurbished for reuse, and if not, why not?
4. If they cannot be refurbished, what proportion of the components can be recycled?

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
Nafize Ishtiaque Hossain, Kundan Saha, Atul Sharma, Sameer Sonkusale
https://arxiv.org/abs/2509.14240

In Planta Tattoo and Kirigami Sensors for Self-Powered Monitoring of Vapor Pressure Deficit and Growth Dynamics
We report a scalable, self-powered in planta sensor platform for continuous monitoring of plant hydration and growth. The system integrates two components a leaf mounted tattoo sensor for estimating vapor pressure deficit and a kirigami inspired strain sensor for tracking radial stem growth. Uniquely, the tattoo sensor serves a dual function measuring temperature and humidity beneath the leaf surface while simultaneously harvesting power from ambient moisture via a vanadium pentoxide nanosheet …

V659 Cen: System Parameters Updated
Nancy Remage Evans, Charles Proffitt, Pierre Kervella, Joanna Kuraszkiewicz, H. Moritz G\"unther, Richard I. Anderson, Alexandre Gallenne, Antoine M\'erand, Boris Trahin, Giordano Viviani, Shreeya Shetye
https://arxiv.org/abs/2509.15053

V659 Cen: System Parameters Updated
V659 Cen is a classical Cepheid which is part of a multiple system. Previous observations have shown that a hot companion dominates an ultraviolet spectrum and a cooler main sequence star dominates an XMM-Newton spectrum. The Hubble Space Telescope (HST) Space Telescope Imaging Spectrograph (STIS) spectra discussed here spatially resolve the components and show that the secondary in the spectroscopic binary with the Cepheid is the low mass star, and the hottest star in the system is the outer c…

Extracting Interpretable Higher-Order Topological Features across Multiple Scales for Alzheimer's Disease Classification
Dengyi Zhao, Shanyong Li, Yunping Wang, Chenfei Wang, Zhiheng Zhou, Guiying Yan, Xingqin Qi
https://arxiv.org/abs/2509.14634

Extracting Interpretable Higher-Order Topological Features across Multiple Scales for Alzheimer's Disease Classification
Brain network topology, derived from functional magnetic resonance imaging (fMRI), holds promise for improving Alzheimer's disease (AD) diagnosis. Current methods primarily focus on lower-order topological features, often overlooking the significance of higher-order features such as connected components, cycles, and cavities. These higher-order features are critical for understanding normal brain function and have been increasingly linked to the pathological mechanisms of AD. However, their qua…

1Q: First-Generation Wireless Systems Integrating Classical and Quantum Communication
Petar Popovski, \v{C}edomir Stefanovi\'c, Beatriz Soret, Israel Leyva-Mayorga, Shashi Raj Pandey, Ren\'e B{\o}dker Christensen, Jakob Kaltoft S{\o}ndergaard, Kristian Skafte Jensen, Thomas Garm Pedersen, Angela Sara Cacciapuoti, Lajos Hanzo
https://

1Q: First-Generation Wireless Systems Integrating Classical and Quantum Communication
We sketch out the concept of 1Q, the first wireless generation of integrated classical and quantum communication. The 1Q framework features quantum base stations (QBSs) that support entanglement distribution via free-space optical links alongside traditional radio communications. Key new components include quantum cells, quantum user equipment (QUEs), and hybrid resource allocation spanning classical time-frequency and quantum entanglement domains. Several application scenarios are discussed an…

Basis construction for polynomial spline spaces over arbitrary T-meshe
Shicong Zhong, Falai Chen, Bingru Huang
https://arxiv.org/abs/2508.12950 https://arx…

Basis construction for polynomial spline spaces over arbitrary T-meshe
This paper presents the first method for constructing bases for polynomial spline spaces over an arbitrary T-meshes (PT-splines for short). We construct spline basis functions for an arbitrary T-mesh by first converting the T-mesh into a diagonalizable one via edge extension, ensuring a stable dimension of the spline space. Basis functions over the diagoalizable T-mesh are constructed according to the three components in the dimension formula corresponding to cross-cuts, rays, and T $l$-edges i…

Dichotomy in Long-Lived Radio Emission from Tidal Disruption Events AT 2020zso and AT 2021sdu: Multi-Component Outflows vs. Host Contamination
Collin T. Christy, Kate D. Alexander, Tanmoy Laskar, Noah Franz, Adelle J. Goodwin, Jeniveve Pearson, Edo Berger, Yvette Cendes, Ryan Chornock, Deanne Coppejans, Tarraneh Eftekhari, Raffaella Margutti, James C. A. Miller-Jones, Melanie Krips, Enrico Ramirez-Ruiz, David J. Sand, Richard Saxton, Manisha Shrestha, Sjoert van Velzen

Dichotomy in Long-Lived Radio Emission from Tidal Disruption Events AT 2020zso and AT 2021sdu: Multi-Component Outflows vs. Host Contamination
We present a detailed radio study of the tidal disruption events (TDEs) AT 2020zso and AT 2021sdu. Both exhibit transient radio emission beginning shortly after optical discovery and persisting for several years. For AT 2020zso, we identify two distinct radio flares. The first arises soon after the optical peak, reaching a maximum $\sim1$ year post-discovery before fading. The second flare appears $\sim800$ days after discovery and results in the brief presence of two distinct components in the…

Mixed order phase transition in a locally constrained exclusion process
Gunter Schutz, Ali Zahra
https://arxiv.org/abs/2509.14467 https://arxiv.org/pdf/250…

Mixed order phase transition in a locally constrained exclusion process
We investigate a novel variant of the exclusion process in which particles perform asymmetric nearest-neighbor jumps across a bond \((k, k+1)\) only if the preceding site \((k-1)\) is unoccupied. This next-nearest-neighbor constraint significantly enriches the system's dynamics, giving rise to long-range correlations and a mixed-order transition controlled by the asymmetry parameter. We focus on the critical case of half filling, where the system splits into two ergodic components, each associa…

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
Zhen-Song Chen, Hong-Wei Ding, Xian-Jia Wang, Witold Pedrycz
https://arxiv.org/abs/2508.11871

LLM4CMO: Large Language Model-aided Algorithm Design for Constrained Multiobjective Optimization
Constrained multi-objective optimization problems (CMOPs) frequently arise in real-world applications where multiple conflicting objectives must be optimized under complex constraints. Existing dual-population two-stage algorithms have shown promise by leveraging infeasible solutions to improve solution quality. However, designing high-performing constrained multi-objective evolutionary algorithms (CMOEAs) remains a challenging task due to the intricacy of algorithmic components. Meanwhile, lar…

Quantification of the cascading tipping probability from the AMOC to the Amazon rainforest
Val\'erian Jacques-Dumas, Henk A. Dijkstra
https://arxiv.org/abs/2508.13383 https:…

Quantification of the cascading tipping probability from the AMOC to the Amazon rainforest
The Amazon rainforest and the AMOC are two key components of the Earth system and may both collapse under climate change. Due to its influence on precipitation patterns, a collapsed AMOC influences the dynamics of the Amazon rainforest. We investigate this effect using a coupled conceptual AMOC-Amazon model. The Amazon model is based on empirical hydrological data controlled by the AMOC strength. The AMOC model and its influence on the Amazon are tuned using a simulated AMOC collapse in the Com…

Jacobian Ideals of Hyperplane Arrangements and their Graded Betti Numbers
Juan Migliore, Uwe Nagel
https://arxiv.org/abs/2508.12113 https://arxiv.org/pdf/2…

Jacobian Ideals of Hyperplane Arrangements and their Graded Betti Numbers
A hyperplane arrangement $\cA$ is said to be free if the corresponding Jacobian ideal $J_\cA$ is Cohen-Macaulay. If $\cA$ is free then $J_\cA$ is unmixed (i.e. equidimensional). Freeness is an important property, yet its presence is not well understood. A conjecture of Terao says that freeness of $\cA$ depends only on the intersection lattice of $\cA$. Given an arrangement $\cA$, we define the ideal $J_\cA^{top}$ to be the intersection of the codimension 2 primary components of $J_\cA$. This id…

Characterization of Gradient Index Fibers
Robert Leonard, Matthew Marshall, Seth Hyra, Meagan Plummer, Jacob Williamson, Spencer Olson
https://arxiv.org/abs/2509.14390 https://

Characterization of Gradient Index Fibers
Gradient index (GRIN) fibers are used to improve the design of many fiber optic devices. However, the properties of the GRIN fiber must be determined to optimally engineer a device which incorporates GRIN fiber components. The index of refraction of most GRIN fibers varies quadratically in the radial direction, where the quadratic coefficient is characterized by the gradient index constant $g$. We measured $g$ for Thorlabs GIF50C GRIN fiber at both $780~\mathrm{nm}$ and $1550~\mathrm{nm}$ using…

On the distance between mean and geometric median in high dimensions
Richard Schwank, Mathias Drton
https://arxiv.org/abs/2508.12926 https://arxiv.org/pdf/…

On the distance between mean and geometric median in high dimensions
The geometric median, a notion of center for multivariate distributions, has gained recent attention in robust statistics and machine learning. Although conceptually distinct from the mean (i.e., expectation), we demonstrate that both are very close in high dimensions when the dependence between the distribution components is suitably controlled. Concretely, we find an upper bound on the distance that vanishes with the dimension asymptotically, and derive a rate-matching first order expansion o…

"While preparing for my Black Hat and DEF CON talks in July of this year, I found the most impactful #EntraID #vulnerability that I will probably ever find. This vulnerability could have allowed me to compromise every Entra ID tenant in the world (except probably those in national cloud deploymen…

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
Tianyang Duan, Zongyuan Zhang, Songxiao Guo, Dong Huang, Yuanye Zhao, Zheng Lin, Zihan Fang, Dianxin Luan, Heming Cui, Yong Cui
https://arxiv.org/abs/2509.14680

LEED: A Highly Efficient and Scalable LLM-Empowered Expert Demonstrations Framework for Multi-Agent Reinforcement Learning
Multi-agent reinforcement learning (MARL) holds substantial promise for intelligent decision-making in complex environments. However, it suffers from a coordination and scalability bottleneck as the number of agents increases. To address these issues, we propose the LLM-empowered expert demonstrations framework for multi-agent reinforcement learning (LEED). LEED consists of two components: a demonstration generation (DG) module and a policy optimization (PO) module. Specifically, the DG module …

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
Zheng Wang, Shihao Xu, Wei Shi
https://arxiv.org/abs/2508.11569 https://…

TrajSV: A Trajectory-based Model for Sports Video Representations and Applications
Sports analytics has received significant attention from both academia and industry in recent years. Despite the growing interest and efforts in this field, several issues remain unresolved, including (1) data unavailability, (2) lack of an effective trajectory-based framework, and (3) requirement for sufficient supervision labels. In this paper, we present TrajSV, a trajectory-based framework that addresses various issues in existing studies. TrajSV comprises three components: data preprocessi…

A Taxonomy of Prompt Defects in LLM Systems
Haoye Tian, Chong Wang, BoYang Yang, Lyuye Zhang, Yang Liu
https://arxiv.org/abs/2509.14404 https://arxiv.org/p…

A Taxonomy of Prompt Defects in LLM Systems
Large Language Models (LLMs) have become key components of modern software, with prompts acting as their de-facto programming interface. However, prompt design remains largely empirical and small mistakes can cascade into unreliable, insecure, or inefficient behavior. This paper presents the first systematic survey and taxonomy of prompt defects, recurring ways that prompts fail to elicit their intended behavior from LLMs. We organize defects along six dimensions: (1) Specification and Intent, …

Technical Review on RF-Amplifiers for Quantum Computer Circuits: New Architectures of Josephson Parametric Amplifier
Ahmad Salmanogli, Hesam Zandi, Mahdi Esmaeili, Abolfazl Eskandari, Mohsen Akbari
https://arxiv.org/abs/2507.13187

Technical Review on RF-Amplifiers for Quantum Computer Circuits: New Architectures of Josephson Parametric Amplifier
Josephson Parametric Amplifiers (JPAs) are key components in quantum information processing due to their ability to amplify weak quantum signals with near-quantum-limited noise performance. This is essential for applications such as qubit readout, quantum sensing, and communication, where signal fidelity and coherence preservation are critical. Unlike CMOS and HEMT amplifiers used in conventional RF systems, JPAs are specifically optimized for millikelvin (mK) cryogenic environments. CMOS ampli…

Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Tobias J\"ulg, Pierre Krack, Seongjin Bien, Yannik Blei, Khaled Gamal, Ken Nakahara, Johannes Hechtl, Roberto Calandra, Wolfram Burgard, Florian Walter
https://arxiv.org/abs/2509.14932

Robot Control Stack: A Lean Ecosystem for Robot Learning at Scale
Vision-Language-Action models (VLAs) mark a major shift in robot learning. They replace specialized architectures and task-tailored components of expert policies with large-scale data collection and setup-specific fine-tuning. In this machine learning-focused workflow that is centered around models and scalable training, traditional robotics software frameworks become a bottleneck, while robot simulations offer only limited support for transitioning from and to real-world experiments. In this w…

Ukraine sanctions 5 Chinese firms for supplying components used in Russian drones: https://benborges.xyz/2025/07/08/ukraine-sanctions-chinese-firms-for.html

Dual-Numbers Reverse AD for Functional Array Languages
Tom Smeding, Miko{\l}aj Konarski, Simon Peyton Jones, Andrew Fitzgibbon
https://arxiv.org/abs/2507.12640

Dual-Numbers Reverse AD for Functional Array Languages
The standard dual-numbers construction works well for forward-mode automatic differentiation (AD) and is attractive due to its simplicity; recently, it also has been adapted to reverse-mode AD, but practical performance, especially on array programs, leaves a lot to be desired. In this paper we introduce first-class support for multidimensional arrays in dual-numbers reverse-mode AD with little to no performance overhead. The algorithm consists of three loosely-coupled components: a semantics-p…

Most Fatou and Julia components are small for polynomials
Jinsong Zeng
https://arxiv.org/abs/2507.08471 https://arxiv.org/pdf/2507.08…

Most Fatou and Julia components are small for polynomials
We prove that Julia components of polynomials are generally small in diameter. For polynomials without irrationally neutral cycles, Fatou components are also typically small, even when the Julia set is not locally connected.

Can Large Audio Language Models Understand Audio Well? Speech, Scene and Events Understanding Benchmark for LALMs
Han Yin, Jung-Woo Choi
https://arxiv.org/abs/2509.13148 https:/…

Can Large Audio Language Models Understand Audio Well? Speech, Scene and Events Understanding Benchmark for LALMs
Recently, Large Audio Language Models (LALMs) have progressed rapidly, demonstrating their strong efficacy in universal audio understanding through cross-modal integration. To evaluate the LALM's audio understanding performance, researchers have proposed different benchmarks. However, key aspects for real-world interactions are underexplored in existing benchmarks, i.e., audio signals typically contain both speech and non-speech components, and energy levels of these components can vary signifi…

Involuntary Jailbreak
Yangyang Guo, Yangyan Li, Mohan Kankanhalli
https://arxiv.org/abs/2508.13246 https://arxiv.org/pdf/2508.13246

Involuntary Jailbreak
In this study, we disclose a worrying new vulnerability in Large Language Models (LLMs), which we term \textbf{involuntary jailbreak}. Unlike existing jailbreak attacks, this weakness is distinct in that it does not involve a specific attack objective, such as generating instructions for \textit{building a bomb}. Prior attack methods predominantly target localized components of the LLM guardrail. In contrast, involuntary jailbreaks may potentially compromise the entire guardrail structure, whic…

Kernel Two-Sample Testing via Directional Components Analysis
Rui Cui, Yuhao Li, Xiaojun Song
https://arxiv.org/abs/2508.08564 https://arxiv.org/pdf/2508.0…

Kernel Two-Sample Testing via Directional Components Analysis
We propose a novel kernel-based two-sample test that leverages the spectral decomposition of the maximum mean discrepancy (MMD) statistic to identify and utilize well-estimated directional components in reproducing kernel Hilbert space (RKHS). Our approach is motivated by the observation that the estimation quality of these components varies significantly, with leading eigen-directions being more reliably estimated in finite samples. By focusing on these directions and aggregating information a…

Log Gaussian Cox Process Background Modeling in High Energy Physics
Yuval Frid, Liron Barak, Pavani Jairam, Michael Kagan, Rachel Jordan Hyneman
https://arxiv.org/abs/2508.11740

Log Gaussian Cox Process Background Modeling in High Energy Physics
Background modeling is one of the most critical components in high energy physics data analyses, and for smooth backgrounds it is often performed by fitting using an analytic functional form. In this paper a novel method based on Log Gaussian Cox Processes (LGCP) is introduced to model smooth backgrounds while making minimal assumptions on the underlying shape. In LGCP, samples are assumed to be drawn from a non-homogeneous Poisson process, with an intensity function drawn from a Gaussian proce…

Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
Yochai Yemini, Rami Ben-Ari, Sharon Gannot, Ethan Fetaya
https://arxiv.org/abs/2509.14379

Diffusion-Based Unsupervised Audio-Visual Speech Separation in Noisy Environments with Noise Prior
In this paper, we address the problem of single-microphone speech separation in the presence of ambient noise. We propose a generative unsupervised technique that directly models both clean speech and structured noise components, training exclusively on these individual signals rather than noisy mixtures. Our approach leverages an audio-visual score model that incorporates visual cues to serve as a strong generative speech prior. By explicitly modelling the noise distribution alongside the spee…

Integrated diffractive full-Stokes spectro-polarimetric imaging
Jingyue Ma, Zhenming Yu, Zhengyang Li, Liang Lin, Liming Cheng, Jiayu Di, Tongshuo Zhang, Ning Zhan, Kun Xu
https://arxiv.org/abs/2509.13660

Integrated diffractive full-Stokes spectro-polarimetric imaging
Spectro-polarimetric imaging provides multidimensional optical information acquisition capabilities, offering significant potential for diverse applications. Current spectro-polarimetric imaging systems typically suffer from large physical footprints, high design complexity, elevated costs, or the drawback of requiring replacement of standard components with polarization optics. To address these issues, we propose an integrated diffractive full-Stokes spectro-polarimetric imaging framework that…

Addressing Local Realism through Bell Tests at Colliders
Matthew Low
https://arxiv.org/abs/2508.10979 https://arxiv.org/pdf/2508.10979

Addressing Local Realism through Bell Tests at Colliders
One of the most notable aspects of quantum systems is that their components can exhibit correlations much stronger than those allowed by classical physics. Two examples of quantum correlations are quantum entanglement and Bell nonlocality, but generally there is a hierarchy of many types of quantum correlations. Among these correlations, Bell nonlocality holds a special place because it plays a dual role in distinguishing theories where local realism is a valid description. A Bell test, which i…

Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression
Jared Rieck, Julia Wrobel, Joshua L. Gowin, Yue Wang, Martin Paulus, Ryan Peterson
https://arxiv.org/abs/2509.07300 …

Identifying Neural Signatures from fMRI using Hybrid Principal Components Regression
Recent advances in neuroimaging analysis have enabled accurate decoding of mental state from brain activation patterns during functional magnetic resonance imaging scans. A commonly applied tool for this purpose is principal components regression regularized with the least absolute shrinkage and selection operator (LASSO PCR), a type of multi-voxel pattern analysis (MVPA). This model presumes that all components are equally likely to harbor relevant information, when in fact the task-related si…

HYCO: Hybrid-Cooperative Learning for Data-Driven PDE Modeling
Lorenzo Liverani, Matthys Steynberg, Enrique Zuazua
https://arxiv.org/abs/2509.14123 https://

HYCO: Hybrid-Cooperative Learning for Data-Driven PDE Modeling
We present Hybrid-Cooperative Learning (HYCO), a hybrid modeling framework that iteratively integrates physics-based and data-driven models through a mutual regularization mechanism. Unlike traditional approaches that impose physical constraints directly on synthetic models, HYCO treats the physical and synthetic components as co-trained agents: the physical and synthetic models are nudged toward agreement, while the synthetic model is enhanced to better fit the available data. This cooperative…

Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts
Jie Huang, Jason J. R. Liu
https://arxiv.org/abs/2507.13286 https://

Privacy-Preserving Fusion for Multi-Sensor Systems Under Multiple Packet Dropouts
Wireless sensor networks (WSNs) are critical components in modern cyber-physical systems, enabling efficient data collection and fusion through spatially distributed sensors. However, the inherent risks of eavesdropping and packet dropouts in such networks pose significant challenges to secure state estimation. In this paper, we address the privacy-preserving fusion estimation (PPFE) problem for multi-sensor systems under multiple packet dropouts and eavesdropping attacks. To mitigate these iss…

Task-Oriented Learning for Automatic EEG Denoising
Tian-Yu Xiang, Zheng Lei, Xiao-Hu Zhou, Xiao-Liang Xie, Shi-Qi Liu, Mei-Jiang Gui, Hong-Yun Ou, Xin-Zheng Huang, Xin-Yi Fu, Zeng-Guang Hou
https://arxiv.org/abs/2509.14665

Task-Oriented Learning for Automatic EEG Denoising
Electroencephalography (EEG) denoising methods typically depend on manual intervention or clean reference signals. This work introduces a task-oriented learning framework for automatic EEG denoising that uses only task labels without clean reference signals. EEG recordings are first decomposed into components based on blind source separation (BSS) techniques. Then, a learning-based selector assigns a retention probability to each component, and the denoised signal is reconstructed as a probabil…

@… web components are substantially more technically complex than react as they involve changes to the web platform (though that complexity is abstracted from developers) 😅 (we can belabor it into place)

WIP: Turning Fake Chips into Learning Opportunities
Haniye Mehraban, Saad Azmeen-ur-Rahman, John Hu
https://arxiv.org/abs/2507.13281 https://

WIP: Turning Fake Chips into Learning Opportunities
This work-in-progress paper presents a case study in which counterfeit TL074 operational amplifiers, discovered in a junior level electronics course, became the basis for a hands on learning experience. Counterfeit integrated circuits (IC) are increasingly common, posing a significant threat to the integrity of undergraduate electronics laboratories. Instead of simply replacing the counterfeit components, we turned the issue into a teaching moment. Students engaged in hands-on diagnostics measu…

On Topology of the Infinite-Dimensional Space of Fibrations
Ziqi Fang
https://arxiv.org/abs/2508.14038 https://arxiv.org/pdf/2508.14038

On Topology of the Infinite-Dimensional Space of Fibrations
This work serves as an opening and basis of an ongoing program investigating topological and geometric aspects of the moduli space of smooth fiberings on a manifold. The present paper focuses on the algebraic and differential topology of this space, and particularly addresses the following three quests in a top-down manner: the classification, for each class the path components, and for each component the homotopy type (as loosely analogous to the those three for studying the moduli of smooth s…

A Noninvasive and Dispersive Framework for Estimating Nonuniform Conductivity of Brain Tumor in Patient-Specific Head Models
Yoshiki Kubota, Yosuke Nagata, Manabu Tamura, Akimasa Hirata
https://arxiv.org/abs/2509.14660

A Noninvasive and Dispersive Framework for Estimating Nonuniform Conductivity of Brain Tumor in Patient-Specific Head Models
We propose a noninvasive and dispersive framework for estimating the spatially nonuniform conductivity of brain tumors using MR images. The method consists of two components: (i) voxel-wise assignment of tumor conductivity based on reference values fitted to the Cole-Cole model using empirical data from the literature and (ii) fine-tuning of a deep learning model pretrained on healthy participants. A total of 67 cases, comprising both healthy participants and tumor patients and including 9,806 …

Splittable Spanning Trees and Balanced Forests in Dense Random Graphs
David Gillman, Jacob Platnick, Dana Randall
https://arxiv.org/abs/2507.12707 https://…

Splittable Spanning Trees and Balanced Forests in Dense Random Graphs
Weighted equitable partitioning of a graph has been of interest lately due to several applications, including redistricting, network algorithms, and image decomposition. Weighting a partition according to the spanning-tree metric has been of mathematical and practical interest because it typically favors partitions with more compact pieces. An appealing algorithm suggested by Charikar et al. is to sample a random spanning tree and remove k-1 edges, producing a random forest. If the components o…

> In a message on its website, Starling said it can no longer manufacture the hub due to “rapidly rising costs of doing business for small US-based product companies like us (most significantly, tariffs the US government charges us to obtain the components we need to build our product).”
Why don't they just move their manufacturing outside of the US?

Tariffs kill the Starling Home Hub, Google Nest’s best bridge to Apple Home
The third-party bridge let iPhone users control Google Nest devices in Apple’s Home app. Rising costs have forced its maker to shut it down.

Direct observation of nanoscale pinning centers in Ce(Co0.8Cu0.2)5.4 permanent magnets
Nikita Polin, Shangbin Shen, Fernando Maccari, Alex Aubert, Esmaeil Adabifiroozjaei, Tatiana Smoliarova, Yangyiwei Yang, Xinren Chen, Yurii Skourski, Alaukik Saxena, Andr\'as Kov\'acs, Rafal E. Dunin-Borkowski, Michael Farle, Bai-Xiang Xu, Leopoldo Molina-Luna, Oliver Gutfleisch, Baptiste Gault, Konstantin Skokov

Direct observation of nanoscale pinning centers in Ce(Co0.8Cu0.2)5.4 permanent magnets
Permanent magnets containing rare earth elements are essential components for the electrification of society. Ce(Co1-xCux)5 permanent magnets are a model system known for their substantial coercivity, yet the underlying mechanism remains unclear. Here, we investigate Ce(Co0.8Cu0.2)5.4 magnets with a coercivity of ~1 T. Using transmission electron microscopy (TEM) and atom probe tomography (APT), we identify a nanoscale cellular structure formed by spinodal decomposition. Cu-poor cylindrical cel…

While trying to research web components I found the blog of @… which is all about doing modern #WebDev with just the features that browsers provide.
I need to add a SPA (single page application) to our intranet. While researching current frameworks I noticed that ev…

Cohomologically Calibrated Affine Connections and Forced Irreducibility
Alexander Pigazzini, Magdalena Toda
https://arxiv.org/abs/2508.11024 https://arxiv.…

Cohomologically Calibrated Affine Connections and Forced Irreducibility
We establish a principle of forced geometric irreducibility on product manifolds. We prove that for any product manifold $M=M_1\times M_2$, a cohomologically calibrated affine connection, $\nabla^{\mathcal{C}}$, is necessarily holonomically irreducible, provided its calibration class $[ω] \in H^3(M;\mathbb{R})$ is mixed. The core of the proof relies on Hodge theory; we show that the algebraic structure of the harmonic part of the torsion generates non-zero off-diagonal components in the full R…

🧺 Prehistoric basketweaving inspires new materials for stiff, resilient robots
https://techxplore.com/news/2025-08-prehistoric-basketweaving-materials-stiff-resilient.html

Prehistoric basketweaving inspires new materials for stiff, resilient robots
Able to undergo repeated compressions without losing their shape, woven materials could form robots, exoskeletons, car parts, architectural components and more.

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
Feiran Qin, M. M. Abid Naziri, Hengyu Ai, Saikat Dutta, Marcelo d'Amorim
https://arxiv.org/abs/2509.14626

Evaluating the Effectiveness of Coverage-Guided Fuzzing for Testing Deep Learning Library APIs
Deep Learning (DL) libraries such as PyTorch provide the core components to build major AI-enabled applications. Finding bugs in these libraries is important and challenging. Prior approaches have tackled this by performing either API-level fuzzing or model-level fuzzing, but they do not use coverage guidance, which limits their effectiveness and efficiency. This raises an intriguing question: can coverage guided fuzzing (CGF), in particular frameworks like LibFuzzer, be effectively applied to …

Where is the Supervirial Gas? III. Insights from X-ray Shadow Observations and a revised Model for the Soft Diffuse X-ray Background
Anjali Gupta, Smita Mathur, Joshua Kingsbury, Esma Korkmaz, Sanskriti Das, Yair Krongold, Manami Roy, Armando Lara-DI
https://arxiv.org/abs/2507.13331

Where is the Supervirial Gas? III. Insights from X-ray Shadow Observations and a revised Model for the Soft Diffuse X-ray Background
Shadow observations provide a powerful tool to separate foreground components of the soft diffuse X-ray background (SDXB) from the background components. Such observations have now established that the ``local'' foreground is made of the solar wind charge exchange and the local bubble, and the background emission is from the extended circumgalactic medium (CGM) of the Milky Way and from the unresolved extragalactic sources. New data and careful analyses of the SDXB led to two new discoveries in…

Self-intersection of the Torelli map
Lycka Drakengren
https://arxiv.org/abs/2509.12449 https://arxiv.org/pdf/2509.12449

Self-intersection of the Torelli map
The Torelli map $t\colon \mathcal{M}^{ct}_g \to \mathcal{A}_g$ is far from an immersion for $g\geq 3$: the self-fiber product of the Torelli map for $g\geq 3$ has several components with nontrivial intersections. We give a stratification of the self-fiber product for arbitrary genus and describe how components in the fiber product intersect. In genus $4$, the Torelli fiber product is nonreduced, which we prove by analyzing the expansion of the period map near a nodal curve. We use the geometry …

Sparsity of the Main Effect Matrix Factor Model
Zetai Cen, Kaixin Liu, Clifford Lam
https://arxiv.org/abs/2508.12510 https://arxiv.org/pdf/2508.12510

Sparsity of the Main Effect Matrix Factor Model
We introduce sparsity detection and estimation in main effect matrix factor models for matrix-valued time series. A carefully chosen set of identification conditions for the common component and the potentially nonstationary main effects is proposed to strengthen the interpretations of sparse main effects, while estimators of all model components are presented. Sparse estimation of the latent main effects is proposed using a doubly adaptive fused lasso estimation to allow for sparse sub-block d…

A Survey of Context Engineering for Large Language Models
Lingrui Mei, Jiayu Yao, Yuyao Ge, Yiwei Wang, Baolong Bi, Yujun Cai, Jiazhi Liu, Mingyu Li, Zhong-Zhi Li, Duzhen Zhang, Chenlin Zhou, Jiayi Mao, Tianze Xia, Jiafeng Guo, Shenghua Liu
https://arxiv.org/abs/2507.13334

A Survey of Context Engineering for Large Language Models
The performance of Large Language Models (LLMs) is fundamentally determined by the contextual information provided during inference. This survey introduces Context Engineering, a formal discipline that transcends simple prompt design to encompass the systematic optimization of information payloads for LLMs. We present a comprehensive taxonomy decomposing Context Engineering into its foundational components and the sophisticated implementations that integrate them into intelligent systems. We fi…

Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land
Lotfi El Hafi, Kazuma Onishi, Shoichi Hasegawa, Akira Oyama, Tomochika Ishikawa, Masashi Osada, Carl Tornberg, Ryoma Kado, Kento Murata, Saki Hashimoto, Sebastian Carrera Villalobos, Akira Taniguchi, Gustavo Alfonso Garcia Ricardez, Yoshinobu Hagiwara, Tatsuya Aoki, Kensuke Iwata, Takato Horii, Yukiko H…

Public Evaluation on Potential Social Impacts of Fully Autonomous Cybernetic Avatars for Physical Support in Daily-Life Environments: Large-Scale Demonstration and Survey at Avatar Land
Cybernetic avatars (CAs) are key components of an avatar-symbiotic society, enabling individuals to overcome physical limitations through virtual agents and robotic assistants. While semi-autonomous CAs intermittently require human teleoperation and supervision, the deployment of fully autonomous CAs remains a challenge. This study evaluates public perception and potential social impacts of fully autonomous CAs for physical support in daily life. To this end, we conducted a large-scale demonstr…

New Localizable Entanglement
Abbaas Sabour, Fereydoon Khazali, Soghra Ghanavati
https://arxiv.org/abs/2507.11020 https://arxiv.org/pd…

New Localizable Entanglement
In this study, we have addressed an ambiguity in the concept of localizable entanglement (LE) introduced by Verstraete et al in 2004. By doing so, we have proposed and explored a unique form of this entanglement, called new localizable entanglement (NLE). We have shown that NLE is always less than or equal to LE. Additionally, we have demonstrated that for systems with three components, NLE does not differ significantly from LE. However, when the number of components increases to four, there is…

Russian weapons contain growing number of Chinese components, Zelensky's adviser says: https://benborges.xyz/2025/07/07/russian-weapons-contain-growing-number.html

Code Less to Code More: Streamlining Language Server Protocol and Type System Development for Language Families
Federico Bruzzone, Walter Cazzola, Luca Favalli
https://arxiv.org/abs/2509.15150

Code Less to Code More: Streamlining Language Server Protocol and Type System Development for Language Families
Developing editing support for $L$ languages in $E$ editors is complex and time-consuming. Some languages do not provide dedicated editors, while others offer a single native editor. The $\textit{language server protocol}$ (LSP) reduces the language-editor combinations $L \times E$ to $L + E$, where a single language server communicates with editors via LSP plugins. However, overlapping implementations of linguistic components remain an issue. Existing language workbenches struggle with modular…

Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning
Mengyuan Liu, Xinshun Wang, Zhongbin Fang, Deheng Ye, Xia Li, Tao Tang, Songtao Wu, Xiangtai Li, Ming-Hsuan Yang
https://arxiv.org/abs/2508.10897

Human-in-Context: Unified Cross-Domain 3D Human Motion Modeling via In-Context Learning
This paper aims to model 3D human motion across domains, where a single model is expected to handle multiple modalities, tasks, and datasets. Existing cross-domain models often rely on domain-specific components and multi-stage training, which limits their practicality and scalability. To overcome these challenges, we propose a new setting to train a unified cross-domain model through a single process, eliminating the need for domain-specific components and multi-stage training. We first introd…

Investigation of Electromagnetic and Muonic Air-Shower Components using IceTop Simulations
Lincoln Draper (for the IceCube Collaboration), Fahim Varsi (for the IceCube Collaboration), Dennis Soldin (for the IceCube Collaboration)
https://arxiv.org/abs/2508.08478

Investigation of Electromagnetic and Muonic Air-Shower Components using IceTop Simulations
The IceCube Neutrino Observatory studies cosmic-ray initiated extensive air showers (EASs) using the IceTop surface array, which is sensitive to the electromagnetic component and low-energy ($\sim$ GeV) muonic component of EASs. The contribution from the two components is reconstructed on an event-by-event basis by simultaneously fitting separate lateral distribution functions (LDFs) for both the electromagnetic and muonic components of each shower. In this work, we demonstrate the ability of t…

Global Hopf bifurcation and connected components in a delayed predator-prey model
Wael El Khateeb, Guihong Fan, Chunhua Shan, Hao Wang
https://arxiv.org/abs/2509.10243 https://

Global Hopf bifurcation and connected components in a delayed predator-prey model
We study the dynamics of a delayed predator-prey system with Holling type II functional response, focusing on the interplay between time delay and carrying capacity. Using local and global Hopf bifurcation theory, we establish the existence of sequences of bifurcations as the delay parameter varies, and prove that the connected components of global Hopf branches are nested under suitable conditions. A novel contribution is to show that the classical limit cycle of the non-delayed system belongs…

3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
Ethan Koland, Lin Xi, Nadeev Wijesuriya, YingLiang Ma
https://arxiv.org/abs/2509.13358

3D Reconstruction of Coronary Vessel Trees from Biplanar X-Ray Images Using a Geometric Approach
X-ray angiography is widely used in cardiac interventions to visualize coronary vessels, assess integrity, detect stenoses and guide treatment. We propose a framework for reconstructing 3D vessel trees from biplanar X-ray images which are extracted from two X-ray videos captured at different C-arm angles. The proposed framework consists of three main components: image segmentation, motion phase matching, and 3D reconstruction. An automatic video segmentation method for X-ray angiography to enab…

Close Binary Open Cluster Systems: A Gaia DR3 Perspective on Alessi 36 and Collinder 135
H\"ulya Karag\"oz, Deniz Cennet \c{C}{\i}nar, Seval Ta\c{s}demir, Remziye Canbay
https://arxiv.org/abs/2509.14308

Close Binary Open Cluster Systems: A Gaia DR3 Perspective on Alessi 36 and Collinder 135
In this study, we examined the nearby open clusters (OCs) Alessi 36 and Collinder 135. Their spatial proximity was assessed using photometric and astrometric data from \textit{Gaia} DR3. Likely member stars were identified based on a membership probability threshold ($P \geq 0.5$), yielding 230 members for Alessi 36 and 342 members for Collinder 135. The mean proper-motion components ($μ_α\cosδ, μ_δ$) were determined as $(-9.681 \pm 0.072, 7.021 \pm 0.081)$ mas yr$^{-1}$ for Alessi 36 and …

GlobalFoundries agrees to acquire MIPS, a developer of RISC-V-based solutions and IP, with the deal expected to close in H2 2025 (Anton Shilov/Tom's Hardware)
https://www.tomshardware.com/pc-components…

GlobalFoundries to make RISC-V CPUs — fab acquires MIPS, will integrate RISC-V and AI IP into its portfolio
For an unknown sum.

Search for doubly charged scalars in type-II seesaw mechanism through photon fusion at the LHC
Hang Zhou, Ning Liu
https://arxiv.org/abs/2508.11336 https://

Search for doubly charged scalars in type-II seesaw mechanism through photon fusion at the LHC
Small neutrino masses can be generated through the well-known seesaw mechanisms, among which the type-II scenario predicts a triplet scalar with doubly charged components. Except for the Drell-Yan production at the Large Hadron Collider (LHC), the doubly charged scalars $Δ^{\pm\pm}$ can also be produced through photon fusion along with ultraperipheral collision of protons, the outgoing protons from which can be detected by forward detectors at the LHC, providing a promising way to explore rela…

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
Eric Zhang, Michael Love, Didong Li
https://arxiv.org/abs/2508.11557 https://

Contrastive CUR: Interpretable Joint Feature and Sample Selection for Case-Control Studies
Dimension reduction is an essential tool for analyzing high dimensional data. Most existing methods, including principal component analysis (PCA), as well as their extensions, provide principal components that are often linear combinations of features, which are often challenging to interpret. CUR decomposition, another matrix decomposition technique, is a more interpretable and efficient alternative, offers simultaneous feature and sample selection. Despite this, many biomedical studies involv…

Hurwitz space components; and the Coleman-Oort Conjecture
Michael D. Fried
https://arxiv.org/abs/2509.08904 https://arxiv.org/pdf/2509.08904

Hurwitz space components; and the Coleman-Oort Conjecture
Hurwitz spaces are moduli of isotopy classes of covers. A specific space is formed from a finite group G and C, r of its conjugacy classes and an equivalence relation \dagger. Components, interpret as a braid orbits on Nielsen classes. Fried-Völklein 1991 related absolute (corresponding to a permutation representation, T, of G) and inner equivalence classes. It noted two situations producing multiple components: #1. The action of a normalizer subgroup from $T$ on components; and #2. dist…

Multi-Component VAE with Gaussian Markov Random Field
Fouad Oubari, Mohamed El-Baha, Raphael Meunier, Rodrigue D\'ecatoire, Mathilde Mougeot
https://arxiv.org/abs/2507.12165

Multi-Component VAE with Gaussian Markov Random Field
Multi-component datasets with intricate dependencies, like industrial assemblies or multi-modal imaging, challenge current generative modeling techniques. Existing Multi-component Variational AutoEncoders typically rely on simplified aggregation strategies, neglecting critical nuances and consequently compromising structural coherence across generated components. To explicitly address this gap, we introduce the Gaussian Markov Random Field Multi-Component Variational AutoEncoder , a novel gener…

Pleasant Imperative Program Proofs with GallinaC
Fr\'ed\'eric Fort, David Nowak, Vlad Rusu
https://arxiv.org/abs/2509.13019 https://arxiv.org/pdf/2…

Pleasant Imperative Program Proofs with GallinaC
Even with the increase of popularity of functional programming, imperative programming remains a key programming paradigm, especially for programs operating at lower levels of abstraction. When such software offers key components of a Trusted Computing Base (TCB), e.g. an operating system kernel, it becomes desirable to provide mathematical correctness proofs. However, current real-world imperative programming languages possess "expressive", i.e. overly permissive, semantics. Thus, producing …

Overview of Complex System Design
John W. Sheppard
https://arxiv.org/abs/2508.11026 https://arxiv.org/pdf/2508.11026

Overview of Complex System Design
This chapter serves as an introduction to systems engineering focused on the broad issues surrounding realizing complex integrated systems. What is a system? We pose a number of possible definitions and perspectives, but leave open the opportunity to consider the system from the target context where it will be used. Once we have a system in mind, we acknowledge the fact that this system needs to integrate a variety of pieces, components, subsystems, in order for it to accomplish its task. There…

Automating Steering for Safe Multimodal Large Language Models
Lyucheng Wu, Mengru Wang, Ziwen Xu, Tri Cao, Nay Oo, Bryan Hooi, Shumin Deng
https://arxiv.org/abs/2507.13255

Automating Steering for Safe Multimodal Large Language Models
Recent progress in Multimodal Large Language Models (MLLMs) has unlocked powerful cross-modal reasoning abilities, but also raised new safety concerns, particularly when faced with adversarial multimodal inputs. To improve the safety of MLLMs during inference, we introduce a modular and adaptive inference-time intervention technology, AutoSteer, without requiring any fine-tuning of the underlying model. AutoSteer incorporates three core components: (1) a novel Safety Awareness Score (SAS) that …

Secure, Scalable and Privacy Aware Data Strategy in Cloud
Vijay Kumar Butte, Sujata Butte
https://arxiv.org/abs/2509.13627 https://arxiv.org/pdf/2509.13627…

Secure, Scalable and Privacy Aware Data Strategy in Cloud
The enterprises today are faced with the tough challenge of processing, storing large amounts of data in a secure, scalable manner and enabling decision makers to make quick, informed data driven decisions. This paper addresses this challenge and develops an effective enterprise data strategy in the cloud. Various components of an effective data strategy are discussed and architectures addressing security, scalability and privacy aspects are provided.

OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation
Tatiana Zemskova, Aleksei Staroverov, Dmitry Yudin, Aleksandr Panov
https://arxiv.org/abs/2508.11479 h…

OVSegDT: Segmenting Transformer for Open-Vocabulary Object Goal Navigation
Open-vocabulary Object Goal Navigation requires an embodied agent to reach objects described by free-form language, including categories never seen during training. Existing end-to-end policies overfit small simulator datasets, achieving high success on training scenes but failing to generalize and exhibiting unsafe behaviour (frequent collisions). We introduce OVSegDT, a lightweight transformer policy that tackles these issues with two synergistic components. The first component is the semanti…

Connected components of the space of type-preserving representations
Inyoung Ryu, Tian Yang
https://arxiv.org/abs/2507.07391 https://…

Connected components of the space of type-preserving representations
We complete the characterization of the connected components of the space of type-preserving representations of a punctured surface group into $\mathrm{PSL}(2,\mathbb{R})$. We show that the connected components are indexed by the relative Euler classes and the signs of the images of the peripheral elements satisfying a generalized Milnor-Wood inequality; and when the surface is a punctured sphere, there are additional connected components consisting of ``totally non-hyperbolic" representations.…

More than 60% of double-peaked narrow emission lines not related to dual galaxy systems?
Zhang XueGuang (GXU)
https://arxiv.org/abs/2507.12893 https://

More than 60% of double-peaked narrow emission lines not related to dual galaxy systems?
Dual galaxy system (DGS) is one of the widely accepted scenarios to explain the double-peaked narrow emission lines (DPNELs) due to orbital motions of the two galaxies in a merging system. After considering no physical connections between two independent narrow emission line regions in two galaxies in one DGS, there should be no correlations between flux ratios $R_{R}$ of red-shifted narrow emission components from one galaxy and flux ratios $R_{B}$ of blue-shifted narrow emission components fr…

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding
Renjie Li, Ruijie Ye, Mingyang Wu, Hao Frank Yang, Zhiwen Fan, Hezhen Hu, Zhengzhong Tu
https://arxiv.org/abs/2507.12463

MMHU: A Massive-Scale Multimodal Benchmark for Human Behavior Understanding
Humans are integral components of the transportation ecosystem, and understanding their behaviors is crucial to facilitating the development of safe driving systems. Although recent progress has explored various aspects of human behavior$\unicode{x2014}$such as motion, trajectories, and intention$\unicode{x2014}$a comprehensive benchmark for evaluating human behavior understanding in autonomous driving remains unavailable. In this work, we propose $\textbf{MMHU}$, a large-scale benchmark for hu…

Ukraine hits Russian electronic warfare facility making Shahed, Iskander components, General Staff says: https://benborges.xyz/2025/07/05/ukraine-hits-russian-electronic-warfare.html

Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis
Wang Xi, Quan Shi, Tian Yu, Yujie Peng, Jiayi Sun, Mengxing Ren, Zenghui Ding, Ningguang Yao
https://arxiv.org/abs/2507.13285

Multi-Agent Synergy-Driven Iterative Visual Narrative Synthesis
Automated generation of high-quality media presentations is challenging, requiring robust content extraction, narrative planning, visual design, and overall quality optimization. Existing methods often produce presentations with logical inconsistencies and suboptimal layouts, thereby struggling to meet professional standards. To address these challenges, we introduce RCPS (Reflective Coherent Presentation Synthesis), a novel framework integrating three key components: (1) Deep Structured Narrat…

Constraining ALP-Top Interaction from the Chromoelectric Dipole Moment of the Top Quark
Subhadip Bisal
https://arxiv.org/abs/2507.12570 https://

Constraining ALP-Top Interaction from the Chromoelectric Dipole Moment of the Top Quark
The couplings of axion-like particles (ALPs) to fermions are proportional to the fermion masses, making the interaction with the top quark particularly significant. In this study, we consider an ALP that is a mixture of CP-even and CP-odd components, thereby introducing CP violation. This CP violation, in turn, gives rise to electric dipole moments (EDMs) of quarks and leptons, as well as chromoelectric dipole moments (CEDMs) of quarks. We compute the one-loop and two-loop contributions to the …

Reconstructing Air-Shower Observables using a Universality-Based Model at the Pierre Auger Observatory
Maximilian Stadelmaier (for the Pierre Auger Collaboration)
https://arxiv.org/abs/2507.13209

Reconstructing Air-Shower Observables using a Universality-Based Model at the Pierre Auger Observatory
Based on solutions of the cascade equations, the air-shower universality is a framework that for all air showers with the same energy, zenith angle, depth of shower maximum, and muon number predicts the same longitudinal, lateral, and energy distributions of electromagnetic shower particles. We employ a universality-based model of shower development that incorporates hadronic particle components to reconstruct observables from extensive air showers produced by ultra-high-energy cosmic rays. The…

Unlocking the Hodge Conjecture: A Spectral Fingerprint Approach via Gauss-Manin Derivatives
Bita Hajebi, Pooya Hajebi
https://arxiv.org/abs/2507.13064 http…

Unlocking the Hodge Conjecture: A Spectral Fingerprint Approach via Gauss-Manin Derivatives
We present a symbolic analytic framework for addressing the Hodge Conjecture, based on a refined invariant called the Hermitian spectral fingerprint. By projecting out $(k,k)$ components from holomorphic forms and their Gauss Manin derivatives, we define a fingerprint functional that vanishes identically for any rational cohomology class of type $(k,k)$. We prove unconditionally that the projected derivatives span the entire orthogonal complement of $H^{k,k}(X)$ in $H^{2k}(X,\mathbb{C})$, imply…

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Dongming Jin, Zhi Jin, Linyu Li, Xiaohong Chen
https://arxiv.org/abs/2507.13095

A Conceptual Framework for Requirements Engineering of Pretrained-Model-Enabled Systems
Recent advances in large pretrained models have led to their widespread integration as core components in modern software systems. The trend is expected to continue in the foreseeable future. Unlike traditional software systems governed by deterministic logic, systems powered by pretrained models exhibit distinctive and emergent characteristics, such as ambiguous capability boundaries, context-dependent behavior, and continuous evolution. These properties fundamentally challenge long-standing a…

A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
Jonas Werheid, Shengjie He, Aymen Gannouni, Anas Abdelrazeq, Robert H. Schmitt
https://arxiv.org/abs/2509.13089

A Synthetic Data Pipeline for Supporting Manufacturing SMEs in Visual Assembly Control
Quality control of assembly processes is essential in manufacturing to ensure not only the quality of individual components but also their proper integration into the final product. To assist in this matter, automated assembly control using computer vision methods has been widely implemented. However, the costs associated with image acquisition, annotation, and training of computer vision algorithms pose challenges for integration, especially for small- and medium-sized enterprises (SMEs), whic…

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
Minhao Wang, Yunhang He, Cong Xu, Zhangchi Zhu, Wei Zhang
https://arxiv.org/abs/2508.10312

Beyond Semantic Understanding: Preserving Collaborative Frequency Components in LLM-based Recommendation
Recommender systems in concert with Large Language Models (LLMs) present promising avenues for generating semantically-informed recommendations. However, LLM-based recommenders exhibit a tendency to overemphasize semantic correlations within users' interaction history. When taking pretrained collaborative ID embeddings as input, LLM-based recommenders progressively weaken the inherent collaborative signals as the embeddings propagate through LLM backbones layer by layer, as opposed to tradition…

Trustworthy and Confidential SBOM Exchange
Eman Abu Ishgair, Chinenye Okafor, Marcela S. Melara, Santiago Torres-Arias
https://arxiv.org/abs/2509.13217 https://

Trustworthy and Confidential SBOM Exchange
Software Bills of Materials (SBOMs) have become a regulatory requirement for improving software supply chain security and trust by means of transparency regarding components that make up software artifacts. However, enterprise and regulated software vendors commonly wish to restrict who can view confidential software metadata recorded in their SBOMs due to intellectual property or security vulnerability information. To address this tension between transparency and confidentiality, we propose Pe…

The Integral Chow Rings of the Moduli Stacks of Hyperelliptic Prym Pairs II
Alessio Cela, Alberto Landi
https://arxiv.org/abs/2507.11478 https://

The Integral Chow Rings of the Moduli Stacks of Hyperelliptic Prym Pairs II
This paper is the second in a series devoted to describing the integral Chow ring of the moduli stacks $\mathcal{RH}_g$ of hyperelliptic Prym pairs. For fixed genus $g$, the stack $\mathcal{RH}_g$ is the disjoint union of $\lfloor (g+1)/2 \rfloor$ components $\mathcal{RH}_g^n$ for $n = 1, \ldots, \lfloor (g+1)/2 \rfloor$. In this paper, we compute the integral Chow rings of the components $\mathcal{RH}_g^{(g+1)/2}$ for odd $g$. Along the way, we also determine the integral Chow ring of the modu…

SpatialTrackerV2: 3D Point Tracking Made Easy
Yuxi Xiao, Jianyuan Wang, Nan Xue, Nikita Karaev, Yuri Makarov, Bingyi Kang, Xing Zhu, Hujun Bao, Yujun Shen, Xiaowei Zhou
https://arxiv.org/abs/2507.12462

SpatialTrackerV2: 3D Point Tracking Made Easy
We present SpatialTrackerV2, a feed-forward 3D point tracking method for monocular videos. Going beyond modular pipelines built on off-the-shelf components for 3D tracking, our approach unifies the intrinsic connections between point tracking, monocular depth, and camera pose estimation into a high-performing and feedforward 3D point tracker. It decomposes world-space 3D motion into scene geometry, camera ego-motion, and pixel-wise object motion, with a fully differentiable and end-to-end archi…

Using KL-Divergence to Focus Frequency Information in Low-Light Image Enhancement
Yan Xingyang, Huang Xiaohong, Zhang Zhao, You Tian, Xu Ziheng
https://arxiv.org/abs/2509.13083 …

Using KL-Divergence to Focus Frequency Information in Low-Light Image Enhancement
In the Fourier domain, luminance information is primarily encoded in the amplitude spectrum, while spatial structures are captured in the phase components. The traditional Fourier Frequency information fitting employs pixel-wise loss functions, which tend to focus excessively on local information and may lead to global information loss. In this paper, we present LLFDisc, a U-shaped deep enhancement network that integrates cross-attention and gating mechanisms tailored for frequency-aware enhanc…

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
Heng Zhang, Chengzhi Zhang
https://arxiv.org/abs/2509.12955 https://

Automated Generation of Research Workflows from Academic Papers: A Full-text Mining Framework
The automated generation of research workflows is essential for improving the reproducibility of research and accelerating the paradigm of "AI for Science". However, existing methods typically extract merely fragmented procedural components and thus fail to capture complete research workflows. To address this gap, we propose an end-to-end framework that generates comprehensive, structured research workflows by mining full-text academic papers. As a case study in the Natural Language Processing …

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Zile Qiao, Guoxin Chen, Xuanzhong Chen, Donglei Yu, Wenbiao Yin, Xinyu Wang, Zhen Zhang, Baixuan Li, Huifeng Yin, Kuan Li, Rui Min, Minpeng Liao, Yong Jiang, Pengjun Xie, Fei Huang, Jingren Zhou
https://arxiv.org/abs/2509.13309

WebResearcher: Unleashing unbounded reasoning capability in Long-Horizon Agents
Recent advances in deep-research systems have demonstrated the potential for AI agents to autonomously discover and synthesize knowledge from external sources. In this paper, we introduce WebResearcher, a novel framework for building such agents through two key components: (1) WebResearcher, an iterative deep-research paradigm that reformulates deep research as a Markov Decision Process, where agents periodically consolidate findings into evolving reports while maintaining focused workspaces, o…