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988 storiesPublic health and medicine worldwide — sourced from WHO News.
A structure-preserving Numerical Method for the Compressible Resistive-Hall-MHD System
arXiv:2607.14286v1 Announce Type: new Abstract: In this paper, we present a structure-preserving method for the compressible resistive Hall-magnetohydrodynamics (MHD) model. The differential operator is split into two pa…
XCT-SAM: Sequential Parameter-Efficient Domain Adaptation of SAM for Industrial XCT Defect Segmentation
arXiv:2607.14287v1 Announce Type: new Abstract: Defect segmentation in additive manufacturing (AM) X-ray computed tomography (XCT) images remains challenging due to severe class imbalance and large distribution shifts ac…
Majority Correctness in Social Networks: From Well-Mixed Electorates to Complex Networks
arXiv:2607.14288v1 Announce Type: new Abstract: We study majority correctness when voting is preceded by sustained social interaction on a social network. Motivated by the Condorcet Jury Theorem, we consider a binary cho…
Wasserstein Stability of Contracting Flows: Effective Rates, Euler Self-Correction, and Noise Tightening
arXiv:2607.14291v1 Announce Type: new Abstract: Contraction theory guaranties exponential convergence between trajectories of a stable nonlinear system. When initial conditions are uncertain and represented as probabilit…
Measuring How Students Rely on Generative AI in Academic Writing: Development and Multi-Source Validation of the Generative AI Reliance Types Scale (GenAI-RTS)
arXiv:2607.14301v1 Announce Type: new Abstract: As generative AI (GenAI) becomes increasingly embedded in undergraduate academic writing, how students rely on these tools, rather than simply whether they use them, has be…
Exact Online Rank Recycling in Floyd's Uniform Subset Sampler
arXiv:2607.14302v1 Announce Type: new Abstract: A uniformly random $m$-subset of $[n]=\{0,\ldots,n-1\}$ has entropy $\log_2\binom{n}{m}$. Standard without-replacement procedures often expose an additional ordering coordi…
DCVC-MB: Neural B-Frame Video Compression using State Space Models
arXiv:2607.14305v1 Announce Type: new Abstract: In this paper we propose DCVC-Mamba (DCVC-MB), a neural video codec framework for B-frame coding. Our approach incorporates an IBP frame strategy for low-delay B-frame codi…
Tracing LLM Behavior to the Training Data with Empirical Next-Token Distributions
arXiv:2607.14306v1 Announce Type: new Abstract: In this paper, we study the connection between an LLM's output distribution and the data used to train it. Specifically, we study the degree to which an LLM's next-token di…
Traccia: An OpenTelemetry-Based Governance Platform for AI Systems
arXiv:2607.14309v1 Announce Type: new Abstract: The rapid development of Large Language Models (LLMs) and Artificial Intelligent (AI) powered autonomous agents has fundamentally changed the existing forms of software gov…
NeuroGRIP: Retrieval-Augmented Graph Refinement for Knowledge-Grounded EEG Seizure Diagnosis
arXiv:2607.14314v1 Announce Type: new Abstract: Seizure diagnosis from EEG signals is a critical yet persistently challenging task, due to the complicated neural dynamics and the spurious connections in inter-channel mod…
Towards a Unified Multidimensional Explainability Metric: Evaluating Trustworthiness in AI Models
arXiv:2607.14315v1 Announce Type: new Abstract: In this paper, we present a comprehensive framework for assessing the explainability of various XAI methods, such as LIME and SHAP, across multiple datasets and machine lea…
Counterfactual Optimal Action Trees (COAT): Interpretable Prescriptive Policies from Observational Data
arXiv:2607.14318v1 Announce Type: new Abstract: We introduce COAT (Counterfactual Optimal Action Tree), a framework for learning interpretable prescriptive policies from observational data. COAT combines counterfactual o…
Accounting for Hysteresis and Eddy Currents in Finite Element Simulations of Ferromagnetic Laminated Cores using a Recurrent Neural Network
arXiv:2607.14321v1 Announce Type: new Abstract: Incorporating hysteresis and eddy currents into finite element simulations of laminated-core electrical machines is computationally challenging. Resolving the fields inside…
Transition-Aware Routing in Hybrid Hollow-Core/Single-Mode Fiber Networks: A Cost--Throughput Investigation
arXiv:2607.14324v1 Announce Type: new Abstract: Incremental deployment of hollow-core fiber (HCF) in single-mode-fiber (SMF) networks introduces a routing tradeoff: reducing HCF-SMF transitions can improve physical-layer…
Logical Foundations of Two-Sided Type Theory
arXiv:2607.14325v1 Announce Type: new Abstract: Two-sided type systems, introduced in POPL'24, are an extension of the traditional notion of type system that allows for stating and deriving typing judgements in which (a)…
PReM: Learning What to Preserve and When to Refresh for Context Compression
arXiv:2607.14327v1 Announce Type: new Abstract: Efficient long-context inference is not only about reducing memory cost, but also about keeping useful contextual evidence accessible as generation proceeds. However, exist…
Long-History User Transformers for Real-Time Ad Ranking
arXiv:2607.14331v1 Announce Type: new Abstract: Long interaction histories are among the most informative inputs for click-through rate (CTR) prediction, yet in online advertising they collide with a hard serving constra…
SD-MAR: Multi-image Analytical Reasoning via Synthetic Data and Reinforcement Learning
arXiv:2607.14333v1 Announce Type: new Abstract: Vision Language Models (VLMs) demonstrate strong perceptual abilities but remain limited in tasks requiring analytical reasoning across multiple visual states, such as mult…
MixCompress: Mixture of Experts for Variable Rate Learned Image Compression
arXiv:2607.14334v1 Announce Type: new Abstract: Learned image compression (LIC) is bottlenecked by the need to store independent models for each rate-distortion operating point. Existing variable bit-rate (VBR) methods a…
Copy-on-Write Scoring: Application-Specific Agent Evaluations
arXiv:2607.14336v1 Announce Type: new Abstract: Trustworthy deployment of LLM-based agents in software systems requires evaluating how they perform on application-specific workflows, with enough granularity to localize w…