Ward: Education

109

A Post-Quantum Secure End-to-End Verifiable E-Voting Protocol Based on Multivariate Polynomials

arXiv:2512.17613v1 Announce Type: new
Abstract: Voting is a primary democratic activity through which voters select representatives or approve policies. Conventional paper ballot elections have several drawbacks that might compromise the fairness, effectiveness, and accessibility of the voting proc…

430

Analytical Stackelberg Resource Allocation in Sequential Attacker--Defender Games

arXiv:2512.17284v1 Announce Type: new
Abstract: We develop an analytical Stackelberg game framework for optimal resource allocation in a sequential attacker--defender setting with a finite set of assets and probabilistic attacks. The defender commits to a mixed protection strategy, after which the …

221

A traditional Brazilian plant shows unexpected strength against arthritis

A Brazilian study has confirmed that Joseph’s Coat, a plant used for generations in folk medicine, can significantly reduce inflammation and arthritis symptoms in lab tests. Researchers observed less swelling, healthier joints, and signs of tissue protection. Just as important, the extract showed a …

233

Cooperative Energy Scheduling of Multi-Microgrids Based on Risk-Sensitive Reinforcement Learning

arXiv:2512.17246v1 Announce Type: new
Abstract: With the rapid development of distributed renewable energy, multi-microgrids play an increasingly important role in improving the flexibility and reliability of energy supply. Reinforcement learning has shown great potential in coordination strategies…

342

A Practical Solution to Systematically Monitor Inconsistencies in SBOM-based Vulnerability Scanners

arXiv:2512.17710v1 Announce Type: new
Abstract: Software Bill of Materials (SBOM) provides new opportunities for automated vulnerability identification in software products. While the industry is adopting SBOM-based Vulnerability Scanning (SVS) to identify vulnerabilities, we increasingly observe i…

111

Fine-Tuning Masked Diffusion for Provable Self-Correction

arXiv:2510.01384v3 Announce Type: replace
Abstract: A natural desideratum for generative models is self-correction--detecting and revising low-quality tokens at inference. While Masked Diffusion Models (MDMs) have emerged as a promising approach for generative modeling in discrete spaces, their cap…

109

EMAG: Self-Rectifying Diffusion Sampling with Exponential Moving Average Guidance

arXiv:2512.17303v1 Announce Type: new
Abstract: In diffusion and flow-matching generative models, guidance techniques are widely used to improve sample quality and consistency. Classifier-free guidance (CFG) is the de facto choice in modern systems and achieves this by contrasting conditional and u…

329

Task Schema and Binding: A Double Dissociation Study of In-Context Learning

arXiv:2512.17325v1 Announce Type: new
Abstract: We provide causal mechanistic validation that in-context learning (ICL) decomposes into two separable mechanisms: Task Schema (abstract task type recognition) and Binding (specific input-output associations). Through activation patching experiments ac…

240

BumpNet: A Sparse Neural Network Framework for Learning PDE Solutions

arXiv:2512.17198v1 Announce Type: new
Abstract: We introduce BumpNet, a sparse neural network framework for PDE numerical solution and operator learning. BumpNet is based on meshless basis function expansion, in a similar fashion to radial-basis function (RBF) networks. Unlike RBF networks, the bas…

118

Methods and Tools for Secure Quantum Clouds with a specific Case Study on Homomorphic Encryption

arXiv:2512.17748v1 Announce Type: new
Abstract: The rise of quantum computing/technology potentially introduces significant security challenges to cloud computing, necessitating quantum-resistant encryption strategies as well as protection schemes and methods for cloud infrastructures offering quan…

109

Modelling financial time series with $\phi^{4}$ quantum field theory

arXiv:2512.17225v1 Announce Type: cross
Abstract: We use a $\phi^{4}$ quantum field theory with inhomogeneous couplings and explicit symmetry-breaking to model an ensemble of financial time series from the S$\&$P 500 index. The continuum nature of the $\phi^4$ theory avoids the inaccuracies that oc…

109

Machine Learning-Driven Predictive Resource Management in Complex Science Workflows

arXiv:2509.11512v2 Announce Type: replace
Abstract: The collaborative efforts of large communities in science experiments, often comprising thousands of global members, reflect a monumental commitment to exploration and discovery. Recently, advanced and complex data processing has gained increasing…

108

Adaptive Covariance and Quaternion-Focused Hybrid Error-State EKF/UKF for Visual-Inertial Odometry

arXiv:2512.17505v1 Announce Type: new
Abstract: This study presents an innovative hybrid Visual-Inertial Odometry (VIO) method for Unmanned Aerial Vehicles (UAVs) that is resilient to environmental challenges and capable of dynamically assessing sensor reliability. Built upon a loosely coupled sens…

219

SHARP-QoS: Sparsely-gated Hierarchical Adaptive Routing for joint Prediction of QoS

arXiv:2512.17262v1 Announce Type: new
Abstract: Dependable service-oriented computing relies on multiple Quality of Service (QoS) parameters that are essential to assess service optimality. However, real-world QoS data are extremely sparse, noisy, and shaped by hierarchical dependencies arising fro…

111

openCFS-Data: Data Pre-Post-Processing Tool for openCFS

arXiv:2302.03637v3 Announce Type: replace
Abstract: Many numerical simulation tools have been developed and are on the market, but there is still a strong need for appropriate tools capable to simulate multi-field problems, especially in aeroacoustics. Therefore, openCFS provides an open-source fra…

120

Optimizing Text Search: A Novel Pattern Matching Algorithm Based on Ukkonen's Approach

arXiv:2512.16927v1 Announce Type: new
Abstract: In the realm of computer science, the efficiency of text-search algorithms is crucial for processing vast amounts of data in areas such as natural language processing and bioinformatics. Traditional methods like Naive Search, KMP, and Boyer-Moore, whi…

120

EarXplore: An Open Research Database on Earable Interaction

arXiv:2507.20656v2 Announce Type: replace
Abstract: Interaction with sensor-augmented earphones, referred to as earables or hearables, represents a major area of earable research. Proximate to the head and reachable by hand, earables support diverse interactions and can detect multiple inputs simul…

223

Are Vision Language Models Cross-Cultural Theory of Mind Reasoners?

arXiv:2512.17394v1 Announce Type: new
Abstract: Theory of Mind (ToM) -- the ability to attribute beliefs, desires, and emotions to others -- is fundamental for human social intelligence, yet remains a major challenge for artificial agents. Existing Vision-Language Models (VLMs) are increasingly app…

221

Exploring the Effect of Basis Rotation on NQS Performance

arXiv:2512.17893v1 Announce Type: cross
Abstract: Neural Quantum States (NQS) use neural networks to represent wavefunctions of quantum many-body systems, but their performance depends on the choice of basis, yet the underlying mechanism remains poorly understood. We use a fully solvable one-dimens…

109

Compression is Routing: Reconstruction Error as an Intrinsic Signal for Modular Language Models

arXiv:2512.16963v1 Announce Type: new
Abstract: Current Large Language Models (LLMs) face three major challenges: context length limitations, high inference costs, and catastrophic forgetting during continual learning. While Mixture-of-Experts (MoE) architectures mitigate some of these conflicts, t…