Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Wave Function Backpropagation with Explicit Temporal-Interval Dynamics
arXiv:2609.00503v1 Announce Type: new Abstract: Conventional neural networks learn predominantly through affine transformations followed by nonlinear activations, while elapsed time is often treated as an auxiliary featu…
Independent Reinforcement Learning in Discounted Markov Games
arXiv:2609.00504v1 Announce Type: new Abstract: In this work, we study radically uncoupled learning in discounted general-sum Markov games. Assuming ``$\mathsf{ETH}$ for $\mathsf{PPAD}$", we show that, for every fixed di…
ViTAL-X: Video-Text Alignment with Cross-Modal Temporal Edits
arXiv:2609.00505v1 Announce Type: new Abstract: Video-text models adapted from image-text architectures (e.g., CLIP) frequently exhibit temporal blindness, the inability to perceive fundamental cues like order, direction…
RecalibrateGPT: AI Fatigue Resilient Conversational Interfaces
arXiv:2609.00506v1 Announce Type: new Abstract: Large language models are powerful, but their interfaces often devolve into a type $\rightarrow$ read $\rightarrow$ retype loop, creating conversational AI fatigue, cogniti…
VATO: A Vortex-Force-Aware Transformer Operator for Unsteady Separated Aerofoil Flows
arXiv:2609.00507v1 Announce Type: new Abstract: Accurate prediction of unsteady separated flows is challenging because the aerodynamic loads depend on nonlinear separation and vortex-shedding dynamics. Although high-fide…
CoVer: Conflict-Aware Claim Verification
arXiv:2609.00508v1 Announce Type: new Abstract: Social media fact-checking has long been challenged by evidence-level and aggregation-level conflicts, where erroneous evidence mimics authoritative news sources. To captur…
When the Algorithm Becomes the Brand Crisis: A Sociotechnical Theory of Distributed Responsibility and Accountable Transparency
arXiv:2609.00510v1 Announce Type: new Abstract: Artificial intelligence systems increasingly enact market-facing promises through chatbots, recommendation systems, automated decisions, and generative interfaces. Their fa…
ISO-RAG: Isoperimetric Noise Control for Retrieval-Augmented Generation
arXiv:2609.00513v1 Announce Type: new Abstract: Retrieval-Augmented Generation (RAG) mitigates large language models (LLMs) hallucinations, yet conventional dense retrieval struggles with the complex reasoning paths of m…
The Interlingua Hypothesis: LLMs Translate via a Latent Task-agnostic Feature Space
arXiv:2609.00515v1 Announce Type: new Abstract: Large language models (LLMs) have recently demonstrated improved machine translation performance over strong supervised baselines. This raises questions as to what mechanis…
Learning Task-Specific Antibody Representations via Function-Aware Masking
arXiv:2609.00518v1 Announce Type: new Abstract: Antibody-specific language models pretrained via masked language modeling (MLM) learn representations that are critical for downstream sequence design and property predicti…
The Safeguard Worked. Is the LLM System Safer?
arXiv:2609.00519v1 Announce Type: new Abstract: Safeguards in deployed LLM services are evaluated by refusal, attack success, and policy violation rates. Those rates characterize how a control performed on the requests i…
Soft-Argmax for the Projective Plane via the Veronese Embedding
arXiv:2609.00521v1 Announce Type: new Abstract: From horizon detection to fibre structures in X-ray imaging, many vision tasks recover lines via peak detection in Hough space $H=S^1\times\mathbb{R}$, the domain of orient…
Capacity Achieving Torn Paper Codes
arXiv:2609.00522v1 Announce Type: new Abstract: In the torn paper channel, a codeword is cut at random locations, and the resulting error-free fragments are delivered to the decoder as an unordered multiset. Although the…
Transferable End-to-End Optimization for Indirect Long-Term Memory Poisoning in LLM Agents
arXiv:2609.00523v1 Announce Type: new Abstract: Long-term memory can turn untrusted external content into persistent influence over an LLM agent's future decisions, creating the threat of indirect memory poisoning. A suc…
Are We There Yet? Assessing Computer-Use Agents for Blind Users' Accessible Interaction with Desktop Applications
arXiv:2609.00524v1 Announce Type: new Abstract: Computer-use agents are emerging as a paradigm for agentic human-AI interaction, combining language reasoning with multi-modal interface grounding to operate GUIs. Yet thei…
GenScale: A Benchmark for Relative Object Scale in Image Generation and Editing
arXiv:2609.00525v1 Announce Type: new Abstract: Modern image generation and editing systems can produce photorealistic, prompt-aligned images, but still often render familiar objects at implausible relative sizes. To mea…
Learning Feasibility-Aware Latent Spaces for Preference-Based Exploration of Procedural Automotive Wheel Designs
arXiv:2609.00527v1 Announce Type: new Abstract: Intelligent design interfaces that rely on preference-based optimization are most useful when their suggestions are both meaningful to users and feasible within the target …
Why Multi-Layer Message Passing Works: Completeness Theory for Graph Neural Network Interatomic Potentials
arXiv:2609.00528v2 Announce Type: new Abstract: We prove that the Hypergraph Neural Network, an invariant architecture with 3-body message passing, is a universal approximator for potential energy surfaces. Our main cont…
DeSyR: A Decoupled Symbolic Recovery Framework with PINN-Guided Structure Search and Physics-Informed Coefficient Refinement
arXiv:2609.00530v1 Announce Type: new Abstract: Recovering compact explicit solutions from neural approximations is challenging when imperfect teacher data guide symbolic topology search and coefficient estimation. We pr…
Solutions to Three Conjectures and an Open Problem on Binary BCH Codes
arXiv:2609.00532v1 Announce Type: new Abstract: BCH codes are among the most important classes of cyclic codes and have played a central role in coding theory and its applications. One of the fundamental problems in the …