Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Can LLMs Normalize Databases? A Benchmark and Multi-Agent Framework for Schema Normalization
arXiv:2609.11141v2 Announce Type: replace Abstract: Large Language Models (LLMs) are increasingly used to generate structured outputs, but their reliability remains unclear when those outputs must satisfy database-level …
PatchRisk: Forecasting Future Vulnerability Exposure in Open-Source Dependency Networks
arXiv:2609.13719v2 Announce Type: replace Abstract: Open-source software ecosystems are web-scale dependency networks. A downstream package can become exposed to security risk not because its own source code changes, but…
Making AI-Assisted Claims Independently Challengeable: Publication Authority and a Protocol for Falsifiable Publication Records
arXiv:2609.17631v2 Announce Type: replace Abstract: AI-assisted claims can appear authoritative when evidence, analysis, human authorization, presentation, and correction history describe different states. We develop Pub…
Unified Response Geometry for Structured Pruning
arXiv:2609.18239v2 Announce Type: replace Abstract: Structured pruning is commonly formulated as ranking individual channels, although channel responses can be complementary or cancel through downstream mixing. Motivated…
NormLift: From Lifted Features To Semantic Reliability In 3D Gaussian Splatting
arXiv:2609.18898v2 Announce Type: replace Abstract: Training-free weighted aggregation is widely used to lift 2D semantic features onto 3D Gaussians for open-vocabulary scene understanding, yet its theoretical role remai…
rMuscle: Robotic Muscle Memory for Efficient Vision-Language-Action Model Inference
arXiv:2609.19104v3 Announce Type: replace Abstract: Factory work is a promising early scenario for embodied AI: assigning repetitive manual jobs to robots has clear economic payoff, and a structured station keeps the job…
XIR: A Framework for Interoperability across Cross-Chain Protocols Based on a Verifiable Intermediate Representation
arXiv:2609.20010v4 Announce Type: replace Abstract: Cross-chain protocols enable applications to exchange messages across blockchains. Under point-to-point configurations, communication depends on a direct connection bet…
A Multi-Engine Dataflow for MoE Decoding on AWS Tranium
arXiv:2609.21137v4 Announce Type: replace Abstract: Mixture-of-Experts (MoE) decoding on scratchpad-based tensor accelerators (STA) is dominated by moving expert weights while the compute engines sit idle. This traffic i…
MixiMotion: One-Step Text-to-Motion Generation via Asymmetric Set Distillation
arXiv:2609.23010v2 Announce Type: replace Abstract: Iterative text-to-motion generation delivers high-quality and semantically aligned motions but requires multiple network evaluations, resulting in substantial inference…
Beyond Appearance Shifts: Task-Semantic Action Calibration for VLA Models
arXiv:2609.23650v2 Announce Type: replace Abstract: Vision-language-action (VLA) models have achieved strong performance in embodied manipulation, but still struggle to distinguish between changes that should preserve be…
Stress-Testing Structure-Aware Calibration of Malware Graph Neural Networks under Type Shift
arXiv:2609.28517v2 Announce Type: replace Abstract: Post-hoc malware calibrators can condition confidence on graph structure, but their structural inputs may leave the support represented by validation data under malware…
HarnessPAI: An Evolving Harness for Physical AI
arXiv:2609.29166v2 Announce Type: replace Abstract: Physical AI aims to build embodied agents that perceive the world, understand and reason about it, and decide how to act. Yet the field has focused primarily on the las…
An auditable conditional-strategy framework for open-ended decision-making in complex lung cancer
arXiv:2609.29381v2 Announce Type: replace Abstract: Complex lung cancer decisions can involve several defensible pathways whose eligibility, sequencing and safety depend on unresolved information. Effective support must …
Measuring Healthcare Accessibility and Resilience for Smart and Connected Rural Communities: A Florida Panhandle Case Study
arXiv:2609.29639v3 Announce Type: replace Abstract: Rural communities in the United States face persistent healthcare disparities, with fewer providers and facilities, longer trips to care, lower health literacy, and wea…
PolyUMI: Accessible Visual-Tactile-Audio Data Collection for Object Inference and Manipulation
arXiv:2609.29760v2 Announce Type: replace Abstract: Humans typically rely on vision, touch, hearing, and proprioception to perceive contact and adapt their actions during manipulation. Providing robots with comparable re…
Hull Games of Induced Path Convexities in Graphs
arXiv:2609.30302v3 Announce Type: replace Abstract: In 1984, Frank Harary introduced the first convexity games in graphs, all of them based on the geodesic convexity, which is the graph convexity related to shortest path…
Moment Ambiguity and the Limits of Robust Stochastic Optimization
arXiv:2609.31090v3 Announce Type: replace Abstract: We study fundamental information-theoretic limits of robust stochastic optimization when the distribution is known only through its exact moment sequence. We develop a …
AxonSynth: Domain-Randomized Synthetic Data for Zero-Shot 3D Axon Segmentation in Light-Sheet Microscopy
arXiv:2609.31431v3 Announce Type: replace Abstract: Accurate segmentation of axons in 3D microscopy data is important for analyzing white-matter organization, but dense ground truth labels are expensive to obtain. Existi…
Agentic Video Understanding: A Survey
arXiv:2609.31713v2 Announce Type: replace Abstract: As large language models (LLMs) become capable of processing increasingly diverse modalities and longer temporal contexts, an emerging line of work is moving beyond fix…
EyeVQA: Benchmarking Ophthalmic Vision-Language Models from Recognition to Spatial Grounding
arXiv:2609.32352v3 Announce Type: replace Abstract: Vision-language models (VLMs) have shown increasing potential for medical image understanding, yet their capabilities in ophthalmic imaging remain insufficiently charac…