Health
1301 storiesPublic health and medicine worldwide — sourced from WHO News.
Linear Complementary Pairs of MDS Codes from Elliptic Curves
arXiv:2610.29835v1 Announce Type: new Abstract: In this paper, we investigate the Linear Complementary Pairs (LCPs) of Maximum Distance Separable (MDS) codes that arise from elliptic curves. We establish geometric condit…
AT-Differ: Dataset for Audio-Text Difference Captioning
arXiv:2610.29836v1 Announce Type: new Abstract: Evaluating audio-text semantic alignment is important in various audio-language tasks. Existing methods mainly quantify audio-text semantic alignment using a single score a…
Linear Self-Symmetries of Inverse-Based S-boxes: Generic Rigidity and Applications
arXiv:2610.29837v1 Announce Type: new Abstract: Finite-field inversion is a basic nonlinear building block in the design of S-boxes for symmetric cryptography. In inverse-based S-boxes, finite-field inversion is often co…
Spacetime Splines for Adaptive Robot Motions
arXiv:2610.29839v1 Announce Type: new Abstract: Movement primitives commonly represent robot mo- tions through basis functions indexed by time or phase. Inspired by spacetime representations employed in physics, we propo…
Every Part Has Its Role: Part-of-Speech Effects in LLM Post-Training
arXiv:2610.29843v1 Announce Type: new Abstract: Large language models are typically trained with next-token prediction (NTP), which rewards predicting specific tokens rather than explicitly accounting for the semantic si…
RangeNav: Task-Aligned LiDAR Range-Image Pretraining for Robot Navigation
arXiv:2610.29845v1 Announce Type: new Abstract: Autonomous mobile robots operating in dense crowds and cluttered sites require $360^\circ$ perception to react to surrounding hazards. While panoramic LiDAR offers full-sur…
How Do DiTs Denoise? An Aggregator-Predictor View of Attention and MLPs
arXiv:2610.29854v1 Announce Type: new Abstract: How do diffusion transformers (DiTs) represent image content and learn rules for reusing it to generalize? We develop an aggregator--predictor view of DiTs as input-adaptiv…
GeoMem-VLA: Internalizing 3D Scene Understanding into Temporal Memory for Vision-Language-Action Models
arXiv:2610.29866v1 Announce Type: new Abstract: Geometric structure is essential for robotic manipulation and understanding the 3D world. Most VLA models rely on 2D representations of current observations, while geometry…
Swarmlet: a GPU-resident reformulated vortex particle method for coupled multirotor aerodynamics and flight dynamics
arXiv:2610.29867v1 Announce Type: new Abstract: We present Swarmlet, a GPU solver for the unsteady aerodynamics and flight dynamics of one or many multirotor vehicles. The wake is a meshless, evolving-core vortex particl…
Compaction Laundering: Provenance Destruction in Context-Compacting Coding Agents
arXiv:2610.29869v1 Announce Type: new Abstract: Coding agents that run long enough must compact their context, summarizing the conversation, discarding the original, and carrying the summary forward as memory. We show th…
PAUSE: Search-Free Steering of Coding Agents Before Their First Source-Code Edit
arXiv:2610.29870v1 Announce Type: new Abstract: Coding agents can invest substantial effort in repository exploration and testing yet still produce unsuccessful patches. Existing online steering methods review trajectori…
Rigorous integration of semilinear parabolic PDEs: forward evolution bounds and projected boundary value problems
arXiv:2610.29871v1 Announce Type: new Abstract: In this work, we present a rigorous integrator for initial and boundary value problems for semilinear parabolic PDEs. The method builds on earlier semigroup-based approache…
Recovering Plausible Transmission Outage Scenarios
arXiv:2610.29872v1 Announce Type: new Abstract: Expansion planning for extreme weather needs outage scenarios that specify which transmission branches fail. However, public outage records often only report customers with…
HAWK: Heterogeneity-Aware KV Cache Transfer for Efficient GPU-NPU Phase-Disaggregated LLM Inference
arXiv:2610.29873v1 Announce Type: new Abstract: Large language model (LLM) inference exhibits distinct computational characteristics across its two phases: prefill is compute-intensive, whereas decode is more memory-boun…
Coherent differentiation with a monoid of degrees: derivatives, Taylor expansion, finite differences...
arXiv:2610.29874v1 Announce Type: new Abstract: Coherent differentiation has been introduced a few years ago as a refinement of the (categorical semantics of the) differential lambda-calculus and of differential linear l…
Stochastic Nonlinearities Improve Uncertainty Estimation
arXiv:2610.29875v1 Announce Type: new Abstract: Reliable uncertainty estimation is important across visual recognition tasks, providing information about the confidence and reliability of model predictions. Many uncertai…
Expandable Modality Experts for Medical Vision-Language Learning
arXiv:2610.29881v1 Announce Type: new Abstract: Learning across medical imaging modalities requires making use of images without paired text and accommodating new domains while retaining existing representations. We prop…
Characterizing and Defending Utility-Hijacking in Instruction-Tuning Data Selection
arXiv:2610.29886v1 Announce Type: new Abstract: Instruction-data selectors choose which instruction-following records are used for fine-tuning, improving alignment quality, raising training efficiency, and filtering out …
DynaCI: Generating GitHub Actions Workflows via Dynamic Analysis
arXiv:2610.29890v1 Announce Type: new Abstract: Continuous Integration (CI) is an essential practice that automatically validates code changes through builds and tests. However, configuring CI workflows remains challengi…
Investigating the Impact of Learner Errors on Social Bias in Large Language Models
arXiv:2610.29896v1 Announce Type: new Abstract: Existing social bias benchmarks evaluate large language models mostly on fluent, well-formed English, reflecting native speaker usage and leaving non-native writers unrepre…