Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Smart Contracts Claimed Vulnerable by the CVE Database, with Labels and Source Locations
arXiv:2609.01186v1 Announce Type: new Abstract: The Common Vulnerabilities and Exposures (CVE) database catalogs vulnerability claims in hard- and software, among them those pertaining to blockchain programs a.k.a. smart…
Athena: Vulnerability-Affected Library Identification via Knowledge Graph Completion
arXiv:2609.01187v1 Announce Type: new Abstract: A single vulnerability in a widely used library can cascade through millions of dependent applications, yet more than half of vulnerability database entries contain missing…
PersuaRL: Reinforcement Learning-Driven Multi-Expert Selection for Persuasive Dialogue Generation in Insurance
arXiv:2609.01188v1 Announce Type: new Abstract: Large Language Models (LLMs) are revolutionizing digital communication by powering conversational agents deployed across domains such as customer service, digital sales, an…
Verification of $K$- and Infinite-Step Strong/Weak Anonymity Using Concurrent Compositions
arXiv:2609.01192v1 Announce Type: new Abstract: Anonymity is an information flow property that provides privacy protection in the sense of non-uniqueness of system information at certain moments with respect to observati…
Births are difficult to predict even with rich survey and full-population register data
arXiv:2609.01194v1 Announce Type: new Abstract: Major life events have proven difficult to predict. Does this reflect limits of theory, data, and algorithms, or the large role of chance? We examine one outcome - having a…
CaRL-EM: Cost-Aware Reinforcement Learning for Entity Matching with LLMs
arXiv:2609.01195v1 Announce Type: new Abstract: Entity matching (EM) requires fine-grained contextual understanding and domain knowledge. Recent work shows that large language models (LLMs) can serve as strong matchers a…
FinLifeBench: Exhaustive Life-Event History and Financial-State Reconstruction from Longitudinal Banking Dialogue
arXiv:2609.01198v2 Announce Type: new Abstract: Repeated banking interactions require assistants to maintain complete, current, and traceable customer records as life changes emerge incidentally in routine requests. Exis…
Compressing AI Traffic: Standardized Neural Network Coding of Visual-Token Representations in Split Vision-Language Inference
arXiv:2609.01200v1 Announce Type: new Abstract: When the visual encoder and the language decoder of a vision-language model (VLM) run on different compute nodes, the intermediate visual-token embeddings become a communic…
Identification of Compositional Risks in Data Protection Impact Assessments and Beyond
arXiv:2609.01201v1 Announce Type: new Abstract: When personal data is processed in a distributed manner by cooperating service providers, privacy risks may emerge solely from the choice of data processors included in the…
Towards AI-Assisted Clinical Trial Matching: Practical Considerations, Multicenter Evaluation, and Real-World Deployment
arXiv:2609.01202v1 Announce Type: new Abstract: Clinical trials are essential for advancing cancer care and drug development, but many fail because of insufficient patient enrollment. While there is growing interest in u…
On Global Regulatability of Robot Manipulators by Classical PID
arXiv:2609.01207v1 Announce Type: new Abstract: This paper studies a class of uncertain multi-input multi-output (MIMO) nonlinear systems using extended PID (EPID) control. We focus on systems possessing a well-defined v…
Who Judges the Judges? A Chinese Safety QA Benchmark for Evaluating LLM Responses and Safety Judges
arXiv:2609.01210v1 Announce Type: new Abstract: Safety benchmarks for large language models often assess the risk of a user query, although the outcome of question answering depends on whether the response violates a pol…
Geometric Fixed-Time Sliding Mode Control for Constrained Attitude Tracking on $\mathrm{SO}(3)$
arXiv:2609.01211v1 Announce Type: new Abstract: This paper studies constrained spacecraft attitude tracking on the Riemannian configuration manifold $\mathrm{SO}(3)$ in the presence of multiple attitude pointing constrai…
Recent Developments in Transformer Inference Deployment on FPGA Platforms: A Survey
arXiv:2609.01212v1 Announce Type: new Abstract: With the rapid and continuous growth in the incorporation of machine learning models based on the Transformer architecture, capable deployment is in high demand. In this co…
REFACTOR-VLA: Unsupervised Library Learning of Typed Motor Programs
arXiv:2609.01215v1 Announce Type: new Abstract: Most vision-language-action (VLA) models -- OpenVLA, $\pi_0$, RT-2, RDT-1B -- are monolithic: they emit raw motor commands or short action chunks without organizing behavio…
H2Table: Hierarchical Hypergraph-Enhanced Large Language Models for Complex Table Reasoning
arXiv:2609.01216v1 Announce Type: new Abstract: Tables are ubiquitous across diverse domains, yet reasoning over them remains a significant challenge for modern large language models (LLMs). Current approaches typically …
Prompt-Robust Language Models: Which Training Strategies Work?
arXiv:2609.01217v1 Announce Type: new Abstract: Despite their strong performance, large language models remain highly sensitive to prompt formulation. Prior work addresses this through refined data construction or throug…
Projection-based low-rank assembly in IgA
arXiv:2609.01218v1 Announce Type: new Abstract: Isogeometric Analysis (IgA) uses the same spline functions to represent the computational domain and to approximate the solution. This allows exact geometry descriptions, b…
A Unified Uncertainty-Aware Back-End for Speaker Verification: Scoring, Normalization, and Calibration
arXiv:2609.01221v1 Announce Type: new Abstract: Speaker verification back-ends commonly combine similarity scoring, score normalization, and calibration. However, speaker embeddings extracted from real-world utterances h…
What's in Your Agent's Context? Context Privilege Escalation Attacks against AI Agent Harness
arXiv:2609.01222v2 Announce Type: new Abstract: Real-world, high-profile AI agent harnesses often rely on vendor-proprietary or opaque designs for context assembly, leaving the sources and underlying logic of assembled c…