Health
1353 storiesPublic health and medicine worldwide — sourced from WHO News.
Deterministic LLM Inference Across GPU Kernels: Power-of-Two INT8 Quantization Scales and the Limits of Tolerance-Based Conformance
arXiv:2609.00363v1 Announce Type: new Abstract: Conformance suites for quantized GEMM kernels ask whether two implementations agree within a tolerance. We measure what such a suite can detect. Injecting nine faults into …
Closed Forms and Synthetic Twins: Predicting Approximate Nearest Neighbor Recall from Embedding Statistics
arXiv:2609.00364v1 Announce Type: new Abstract: Embedding models are trained and evaluated as if retrieval were exact; in production they serve behind approximate indexes -- HNSW, IVF, product quantization, or the fixed-…
Dr. Claw: An AI Scientist Workspace for Vibe Research
arXiv:2609.00365v1 Announce Type: new Abstract: Command-line coding agents (e.g., Claude Code, Gemini CLI) can already read and write files and sustain long sessions, yet end-to-end research still fragments across chat t…
Counterfactual Fragility Certificates: Exposing High-Confidence Brittleness under Structured Evidence Failure
arXiv:2609.00366v1 Announce Type: new Abstract: High test accuracy and good aggregate calibration do not show whether an individual prediction is structurally supported by its evidence. In tabular decision systems, failu…
Neurosymbolics for Data Engineering: Achieving Long Context Token Reduction Without Finetuning
arXiv:2609.00367v1 Announce Type: new Abstract: Large Language Models are increasingly deployed for sophisticated data engineering tasks such as generating structured queries from natural language, Text-to-SQL, and autom…
Puppeteer: Object-Grounded Posture-Aware Co-Speech Gesture Generation
arXiv:2609.00369v1 Announce Type: new Abstract: Generating co-speech gestures that are temporally coherent, semantically aligned with speech, and grounded with surrounding objects remains challenging. Prior speech-driven…
Counterfactual Closing-Acceleration Risk: An Anticipatory Surrogate Safety Measure for the Blind Region of Car-Following
arXiv:2609.00370v1 Announce Type: new Abstract: Surrogate safety measures allow road-safety assessment from trajectory data in which crashes are absent, yet the dominant proximity measures - time-to-collision (TTC) and i…
MorphPatch: Enhancing VR Interaction on Shape Displays using Surface Approximation and Visuo-Haptic Illusions
arXiv:2609.00371v1 Announce Type: new Abstract: On-surface interaction in Virtual Reality improves input performance through physical support and tactile feedback, but current shape displays are constrained by limited re…
Corporate Loyalty: Some AI Systems Differentially Downplay their Creators' Controversies
arXiv:2609.00373v1 Announce Type: new Abstract: Language models have become a major mediator of politically relevant information and are used to assist decision-making in high-stakes settings. Due to their wide use, the …
Adapting Without Gradients: Affine Statistics Transport and What Its Certificate Can Tell You
arXiv:2609.00374v1 Announce Type: new Abstract: Test-time adaptation (TTA) typically assumes that model parameters can be updated at inference time. This assumption is restrictive for inference-only accelerators, frozen …
FoldingAgent: Inferring Parametric Origami Procedures from Demonstration Videos
arXiv:2609.00377v1 Announce Type: new Abstract: We present FoldingAgent, an agentic framework for inferring explicit parametric folding programs directly from origami demonstration videos. Our framework leverages the rea…
Removable and Irreducible: A Token-Cost Ledger for the Multilingual Tokenization Tax
arXiv:2609.00378v1 Announce Type: new Abstract: Large language models pay a well-documented tax on non-English text: the same content costs several times more tokens, and because attention is quadratic in sequence length…
A note on the reduction from LTLf to LTL
arXiv:2609.00379v1 Announce Type: new Abstract: LTLf, a finite word variant of LTL, can be reduced to LTL by introducing a new atomic proposition indicating the prefix of the infinite words that correspond to the finite …
Bounded, Indeterminate, or a Bug: A Condition-Aware Oracle for Differential Testing of SQL Aggregates
arXiv:2609.00381v1 Announce Type: new Abstract: Differential database testing compares results across engines and calls a discrepancy a bug. For floating-point aggregates this is unsound: engines legitimately disagree be…
RestoreBench: Can AI Agents Restore Power Flow Convergence?
arXiv:2609.00384v1 Announce Type: new Abstract: Large Language Model (LLM) agents increasingly automate multi-step engineering workflows through tool use, interpretation of intermediate results, and iterative planning. D…
Risk-Aware Decision-Making for Autonomous Overtaking: A World Model-Based Mixture-of-Experts Framework
arXiv:2609.00385v1 Announce Type: new Abstract: Autonomous highway overtaking demands foresighted decision-making to handle complex interactions, stochastic traffic evolution, and temporal risk accumulation. However, sta…
Hidden relationships in a document-derived property graph: top-k chunk embeddings and inverse-distance weighting over a dynamically evolving ontology
arXiv:2609.00387v1 Announce Type: new Abstract: Large language models extracting knowledge graphs from text capture only explicitly stated facts, often leaving semantically related entities disconnected across documents.…
An Open Synthetic Test System for the Jordanian Transmission Grid
arXiv:2609.00388v1 Announce Type: new Abstract: Open synthetic test systems are essential for reproducible power system research, yet the available cases represent almost exclusively North American and European grids. No…
Neural means and kernel corrections for operator learning
arXiv:2609.00389v1 Announce Type: new Abstract: We combine neural network means with exact Mat\'ern kernel regressions of their residuals and of their learned features, and evaluate the pairing on two public emulation pr…
NeuroPriv: Adversarial Representation Learning for Privacy in Wearable EEG Systems
arXiv:2609.00390v1 Announce Type: new Abstract: Wearable EEG systems may expose sensitive information beyond their intended health function, creating substantial risks to neuroprivacy. In this work, we show that commonly…