Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
What, Where, and How: Probing Spatiotemporal Representations in Video Foundation Models
arXiv:2609.01551v1 Announce Type: new Abstract: Self-supervised video foundation models learn rich spatiotemporal representations, yet it remains unclear what visual concepts these representations encode, where they emer…
Can LLMs Discover Scientific Laws in Real and Parallel Worlds?
arXiv:2609.01552v1 Announce Type: new Abstract: Scientific equation discovery has long been central to scientific progress, proceeding through iterative cycles of hypothesis generation, observational testing, and refinem…
BS: Take the Hint - Interactive Multitracer PET/CT Lesion Segmentation with a Scribble-Conditioned ResEnc U-Net
arXiv:2609.01554v1 Announce Type: new Abstract: Automated lesion segmentation in whole-body PET/CT is complicated by the variety of physiological tracer uptake patterns and by the differing appearance of lesions across t…
Retrieved but not ranked: surface-form bias in structural retrieval, from mathematics to agent trajectories
arXiv:2609.01556v1 Announce Type: new Abstract: We evaluate embedding retrieval where surface form and meaning are pulled apart on purpose: retrieving items that share underlying structure but not wording, in two unrelat…
Gradient-Update Mismatch: Rethinking Conflict-Free Training of Physics-Informed Neural Networks
arXiv:2609.01558v1 Announce Type: new Abstract: Training Physics-Informed Neural Networks (PINNs) requires jointly optimizing physics residual and initial/boundary condition loss terms, which often induce conflicting gra…
H3-World: Turning Language Understanding into World Control
arXiv:2609.01560v1 Announce Type: new Abstract: We present H3-World, an efficient framework that turns the 33B MiniMax-H3 video generator into an interactive world model. Our key finding is that, as large video generator…
A systematic Approach to constructing a Chance-and-Risk Matrix for Semiconductor Supply Chains
arXiv:2609.01563v1 Announce Type: new Abstract: Semiconductor supply chains face escalating risks from geopolitical tensions, geographic concentration, and rapid technological shifts, yet no scalable system continuously …
From Confusion to Clarity: Confusion-Aware Retrieval and Knowledge Injection for Text Classification
arXiv:2609.01564v1 Announce Type: new Abstract: Large language models (LLMs) struggle to classify text into taxonomies with many semantically similar labels, as the distinctions are domain-specific and not captured by pr…
Selective Agent Guidance via Entropy: Learning Autonomous Policies from Imperfect VLM Teachers
arXiv:2609.01567v2 Announce Type: new Abstract: Vision-Language Models (VLMs) provide useful priors for interactive decision-making, but using them directly as policies is expensive and brittle: they must be queried at e…
Evaluating Usability in Biomedical Visualization: Rethinking Heuristic Evaluation for Spatial Omics and Multidisciplinary Research Platforms
arXiv:2609.01569v1 Announce Type: new Abstract: Introduction: Clinical research informatics (CRI) platforms support biomedical discovery by integrating advanced computational tools into research workflows. Emerging techn…
Stability of Droop-Controlled Low-Frequency Transmission Lines
arXiv:2609.01571v1 Announce Type: new Abstract: Low-Frequency AC (LFAC) transmission systems employing power converters are being considered for a varity of applications. This work studies the small-signal stability of a…
From Production Traffic to Post-Training: Building a Self-Hosted LLM That Covers the Corporate Request Mix
arXiv:2609.01572v1 Announce Type: new Abstract: Data-residency constraints force enterprises to self-host LLMs, but continuous adoption of newer models without decommissioning their predecessors expands the serving fleet…
Scaling Near-Optimal SFT-RL Annotation Budget Allocation from Small to Large LLMs
arXiv:2609.01573v1 Announce Type: new Abstract: How to divide a fixed annotation budget between supervised fine-tuning (SFT) and reinforcement learning (RL) during LLM post-training remains an open problem. Existing work…
Closing Cost-Quality Gap in Document VLMs: Difficulty-Aware Data Curation and Quality-Adjusted Deployment Economics
arXiv:2609.01575v1 Announce Type: new Abstract: Extracting structured fields from hundreds of millions of documents annually remains costly in regulated industries: bespoke OCR cascades cover only a fraction of workflows…
Greedy sampling designs via reduced basis methods: optimal recovery in the uniform norm
arXiv:2609.01578v1 Announce Type: new Abstract: We study optimal sampling recovery in reproducing kernel Hilbert spaces (RKHS) in the uniform norm. For every RKHS with bounded kernel, we establish new comparisons between…
SG-AMP: Scene-Graph-Guided Active Perception and Semantics-Aware Motion Planning for Pepper Plants
arXiv:2609.01579v1 Announce Type: new Abstract: We present SG-AMP, integrating robust depth completion with input-conditioned uncertainty, persistent panoptic mapping, plant scene-graph reasoning, and semantics-aware act…
Weighted Fair Division of Indivisible Mixed Manna
arXiv:2609.01580v1 Announce Type: new Abstract: We study weighted fair division of indivisible mixed manna under additive valuations. First, we resolve the general existence open question for weighted envy-freeness up to…
SpatialGuard: Harness-Guided Verifiable Spatial Reasoning for Text-to-Image Generation
arXiv:2609.01582v1 Announce Type: new Abstract: Complex 3D spatial text to image generation requires models to convert natural language into stable visual geometry, not merely semantic appearance. Existing prompt-driven …
A Benchmark for Vehicle Attribute Classification in Cross-Domain Surveillance Scenarios
arXiv:2609.01584v1 Announce Type: new Abstract: Vehicle attribute analysis is a key component of Intelligent Transportation Systems (ITS), supporting applications such as vehicle identification, traffic monitoring, and f…
The Structure of Quantization Damage in LLMs: Why the Next Bit Should Be Spent Globally
arXiv:2609.01587v1 Announce Type: new Abstract: Post-training quantization (PTQ) is widely used to reduce the cost of serving large language models (LLMs), but its accuracy cost is uneven and is often tuned per model. We…