Papers
Research papers from arXiv and related sources
Extracting Patterns of Chemical Information from Differential Mobility Spectrometry Measurements under Varying Conditions of Humidity and Temperature
Differential Mobility Spectrometry (DMS), also known as Field Asymmetric Ion Mobility Spectrometry, is a rapid and affordable technology for extracting information from gas phase samples containing...
Philipp Müller, Gary A. Eiceman, Anton Rauhameri, Anton Kontunen, Antti Roine, Niku Oksala, Antti...
Deep Learning Based Monthly Temperature Prediction for Jilin Province: A Multi Model Comparative Study 2000 2026
Jilin Province, a core commercial grain production base in China with a mid-temperate continental monsoon climate and significant temperature fluctuations, relies heavily on temperature for agricul...
Xingyue Deng, Xuechen Liang
Chaotic imprints of dark matter in extreme mass-ratio inspirals
Extreme mass-ratio inspirals (EMRIs) are among the most powerful probes of strong-field gravity and of the environments surrounding supermassive compact objects. Motivated by the expected presence ...
Mustapha Azreg-Aïnou, Mubasher Jamil, Emmanuel N. Saridakis
Bellman Value Decomposition for Task Logic in Safe Optimal Control
Real-world tasks involve nuanced combinations of goal and safety specifications. In high dimensions, the challenge is exacerbated: formal automata become cumbersome, and the combination of sparse r...
William Sharpless, Oswin So, Dylan Hirsch, Sylvia Herbert, Chuchu Fan
MICON-Bench: Benchmarking and Enhancing Multi-Image Context Image Generation in Unified Multimodal Models
Recent advancements in Unified Multimodal Models (UMMs) have enabled remarkable image understanding and generation capabilities. However, while models like Gemini-2.5-Flash-Image show emerging abil...
Mingrui Wu, Hang Liu, Jiayi Ji, Xiaoshuai Sun, Rongrong Ji
FuzzySQL: Uncovering Hidden Vulnerabilities in DBMS Special Features with LLM-Driven Fuzzing
Traditional database fuzzing techniques primarily focus on syntactic correctness and general SQL structures, leaving critical yet obscure DBMS features, such as system-level modes (e.g., GTID), pro...
Yongxin Chen, Zhiyuan Jiang, Chao Zhang, Haoran Xu, Shenglin Xu, Jianping Tang, Zheming Li, Peida...
Kaon decay constraints on vector bosons coupled to non-conserved currents
We study rare three- and four-body kaon decays as a probe of light vector and axial-vector bosons coupled to non-conserved currents. We find that searches for $K_L \to π^0 π^0 (X\to e^+e^-)$ decays...
Matheus Hostert, Maxim Pospelov, Adrian Thompson
Physics-Aware, Shannon-Optimal Compression via Arithmetic Coding for Distributional Fidelity
Assessing whether two datasets are distributionally consistent has become a central theme in modern scientific analysis, particularly as generative artificial intelligence is increasingly used to p...
Cristiano Fanelli
Zero Variance Portfolio
When the number of assets is larger than the sample size, the minimum variance portfolio interpolates the training data, delivering pathological zero in-sample variance. We show that if the weights...
Jinyuan Chang, Yi Ding, Zhentao Shi, Bo Zhang
Optimal Error Estimates of a new Multiphysic Finite Element Method for Nonlinear Poroelasticity model with Hencky-Mises Stress Tensor
In this paper, we develop a new multiphysics finite element method for a nonlinear poroelastic model with Hencky-Mises stress tensor. By introducing some new notations, we reformulate the original ...
Yanan He, Zhihao Ge
HD-TTA: Hypothesis-Driven Test-Time Adaptation for Safer Brain Tumor Segmentation
Standard Test-Time Adaptation (TTA) methods typically treat inference as a blind optimization task, applying generic objectives to all or filtered test samples. In safety-critical medical segmentat...
Kartik Jhawar, Lipo Wang
Red-Teaming Claude Opus and ChatGPT-based Security Advisors for Trusted Execution Environments
Trusted Execution Environments (TEEs) (e.g., Intel SGX and ArmTrustZone) aim to protect sensitive computation from a compromised operating system, yet real deployments remain vulnerable to microarc...
Kunal Mukherjee
OptiRepair: Closed-Loop Diagnosis and Repair of Supply Chain Optimization Models with LLM Agents
Problem Definition. Supply chain optimization models frequently become infeasible because of modeling errors. Diagnosis and repair require scarce OR expertise: analysts must interpret solver diagno...
Ruicheng Ao, David Simchi-Levi, Xinshang Wang
A unified SPH framework for shell-related interactions
A unified Smoothed Particle Hydrodynamics (SPH) framework is proposed to simulate interaction dynamics involving thin shells modeled by a reduced-dimensional, single-layer particle discretization, ...
Dong Wu, Shuaihao Zhang, Weiyi Kong, Xiangyu Hu
How Robust are Robustness Checks?
Robustness checks are routine in empirical work, but there is no standard statistical procedure to formally measure what one can learn from them. I propose a "robustness radius" measure to quantify...
Brenda Prallon
On the Variability of Source Code in Maven Package Rebuilds
Rebuilding packages from open source is a common practice to improve the security of software supply chains, and is now done at an industrial scale. The basic principle is to acquire the source cod...
Jens Dietrich, Behnaz Hassanshahi
Seeing Farther and Smarter: Value-Guided Multi-Path Reflection for VLM Policy Optimization
Solving complex, long-horizon robotic manipulation tasks requires a deep understanding of physical interactions, reasoning about their long-term consequences, and precise high-level planning. Visio...
Yanting Yang, Shenyuan Gao, Qingwen Bu, Li Chen, Dimitris N. Metaxas
LLMs Can Learn to Reason Via Off-Policy RL
Reinforcement learning (RL) approaches for Large Language Models (LLMs) frequently use on-policy algorithms, such as PPO or GRPO. However, policy lag from distributed training architectures and dif...
Daniel Ritter, Owen Oertell, Bradley Guo, Jonathan Chang, Kianté Brantley, Wen Sun
MentalBlackboard: Evaluating Spatial Visualization via Mathematical Transformations
Spatial visualization is the mental ability to imagine, transform, and manipulate the spatial characteristics of objects and actions. This intelligence is a part of human cognition where actions an...
Nilay Yilmaz, Maitreya Patel, Naga Sai Abhiram Kusumba, Yixuan He, Yezhou Yang
PerSoMed: A Large-Scale Balanced Dataset for Persian Social Media Text Classification
This research introduces the first large-scale, well-balanced Persian social media text classification dataset, specifically designed to address the lack of comprehensive resources in this domain. ...
Isun Chehreh, Ebrahim Ansari