Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Support Local Variables
arXiv:2609.01502v1 Announce Type: new Abstract: Ruby is a dynamically typed and object-oriented programming language. Its primary implementation, CRuby, contains a bytecode virtual machine and a mature lazy basic block v…
The Data Problem in Software Vulnerability Analysis: Artifacts, Quality, and Consumption
arXiv:2609.01503v1 Announce Type: new Abstract: Learning- and LLM-based software vulnerability analysis is only as trustworthy as the data it is trained and evaluated on, yet that data is rarely examined as a first-class…
LatentPress: Context Compression Beyond Text and Vision
arXiv:2609.01507v1 Announce Type: new Abstract: Compressed context is usually carried as human-readable text or as rendered images that must be decoded, even when its consumer is a language model. We introduce LatentPres…
Data-Driven Case Study of gNB Placement Optimization in a Private Indoor 5G Testbed
arXiv:2609.01510v1 Announce Type: new Abstract: Accurate radio planning is a fundamental requirement for the deployment of wireless networks in indoor environments, where signal propagation is strongly affected by walls,…
Benchmarking Spatial, Spectral, and Self-Supervised Cues for Face Forgery Detection under Realistic Degradation
arXiv:2609.01511v1 Announce Type: new Abstract: Face forgery detectors often achieve strong results on controlled benchmarks, but their reliability under realistic image degradations remains limited. This paper presents …
TempCloze: Can Video-LLMs Identify the Missing Middle?
arXiv:2609.01515v1 Announce Type: new Abstract: Temporal reasoning benchmarks for Video-LLMs are often mediated by language, leaving room for linguistic shortcuts from option wording, answer correlations, or language pri…
DualDiff3D: Dual Structure-Appearance Diffusion Priors for Reliability-Enhanced 3D Gaussian Splatting
arXiv:2609.01516v1 Announce Type: new Abstract: While 3D Gaussian Splatting (3DGS) has revolutionized 3D reconstruction and novel-view synthesis, scenarios with limited input views often lead to poor reconstruction quali…
A System for Fast, Resilient, and Adaptable Loco-Manipulation Behaviors on Humanoid Robots
arXiv:2609.01518v1 Announce Type: new Abstract: There is tremendous value in humanoid robots taking on physically demanding, hazardous, and repetitive work in spaces built for humans. However, a useful robot for these sp…
When Guardrails Look Effective: Construct Validity Failures in LLM Agent Commerce Evaluation
arXiv:2609.01519v1 Announce Type: new Abstract: Interactive simulations increasingly evaluate policies in markets populated by language-model agents. Their outputs can look economic---prices, profits, consumer surplus, a…
Relational-Core Graph Analytics Querying graphs at SQL scale, and why the node/edge model is a performance tax, not a truer picture of connected data
arXiv:2609.01525v1 Announce Type: new Abstract: A durable assumption holds that graph analytics requires a purpose-built graph engine, and that relational systems are ill-suited to connected data. We argue the opposite f…
EvoSCM: Scientific Belief Revision Through Causal Model Evolution and Experimentation
arXiv:2609.01526v1 Announce Type: new Abstract: Scientific agents must learn not only how to reason, but also what to believe. However, existing LLM agents typically express scientific hypotheses in free-form text, leavi…
Performance Characterization of SPEC CPU 2026 on AMD EPYC 9755 Processor
arXiv:2609.01527v1 Announce Type: new Abstract: SPEC CPU 2026 is the first major update to the industry-standard CPU benchmark suite since 2017. This paper presents the first microarchitecture based performance character…
Sierpi\'nski--Knopp Wasserstein Distance for Persistence Diagrams and Applications to 2-Wasserstein Approximation
arXiv:2609.01528v1 Announce Type: new Abstract: This paper introduces the Sierpi\'nski-Knopp (SK) Wasserstein distance, a fast metric between persistence diagrams. The SK-Wasserstein distance, denoted $d_{\mathrm{SK}}$, …
Revisiting Cross-View Completion: Self-Supervised Pre-Training via Reconstruction Error Comparison
arXiv:2609.01530v1 Announce Type: new Abstract: Self-supervised pre-training via cross-view completion learns strong features for 3D vision from co-visible regions of image pairs. However, the reference view provides lit…
Knowledge Distillation During Mid-Training Favors Reasoning over Factual Recall
arXiv:2609.01532v1 Announce Type: new Abstract: Logit-based knowledge distillation (KD) is used to train smaller language models (LMs) via supervision from stronger teachers, but whether its benefits are consistent acros…
Can LLMs Design Video Coding Tools? A Case Study on Planar Mode
arXiv:2609.01535v1 Announce Type: new Abstract: This paper explores whether large language models (LLMs) can design video coding tools, a highly challenging task due to the intricate algorithmic coupling of tool modifica…
Quantum Sparse Autoencoders for Q-Matrix Estimation in Cognitive Diagnosis
arXiv:2609.01537v1 Announce Type: new Abstract: Q-matrices play a central role in cognitive diagnosis within educational data mining (EDM), specifying which latent skills each assessment item requires. Data-driven Q-matr…
SDARE-Bench: Evaluating Large Language Models on Conversational Stigma Detection and Response in Dyadic and Group Dialogue
arXiv:2609.01548v1 Announce Type: new Abstract: Large Language Models (LLMs) are increasingly used in advice seeking and decision making that may affect social judgements. Despite stigma's profound effects on people and …
NashDreamer: Model-Based Reinforcement Learning for Zero-Sum Imperfect-Information Games
arXiv:2609.01549v1 Announce Type: new Abstract: Model-based reinforcement learning (MBRL) has achieved remarkable results in single-agent domains, yet its extension to competitive imperfect information games (IIGs) remai…
A Mathematical Theory of Reusable Neural Bases for Network Compression
arXiv:2609.01550v1 Announce Type: new Abstract: As large AI models become increasingly prevalent across a wide range of applications, memory cost has become a critical bottleneck in both training and inference. To mitiga…