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988 storiesPublic health and medicine worldwide — sourced from WHO News.
Innocuous-Seeming Data, Latent Ideology: Ideological Generalisation in Finetuned LLMs
arXiv:2607.14888v1 Announce Type: new Abstract: Finetuning language models on small, curated datasets is standard practice for adapting them to specific policies or domains. We show that finetuning on narrow, factually-d…
Analytical study of the optimal combination of binary classifiers based on classifiers-induced partitioning of the training set
arXiv:2607.14889v1 Announce Type: new Abstract: This paper studies an optimal linear combination of binary classifiers based on a logical structuration of the dataset via truth tables. The given classifiers partition dat…
Proof-or-Stop: Don't Trust the Agent, Trust the Evidence -- Loop Engineering for Verifiable Evidence-Gated Lifecycle Control
arXiv:2607.14890v1 Announce Type: new Abstract: Autonomous coding agents increasingly execute multi-step software work, but lifecycle states such as reviewed, tested, DONE, and ready-to-merge remain claims unless support…
Leveraging Instruction Tuning and Merging for Reasoning Model Adaptation
arXiv:2607.14895v1 Announce Type: new Abstract: Reasoning language models (RLMs) have demonstrated impressive performance in domains such as mathematics and coding. These domains permit reliable verification of model out…
StructureClaw: Traceable LLM Agents and an Executable Benchmark for Structural Engineering Workflows
arXiv:2607.14896v1 Announce Type: new Abstract: Addressing a structural-engineering request requires more than a single answer; it requires a chain of interdependent artifacts: interpreted requirements, a computable mode…
Selectivity Drives Efficiency: Dataset Pruning for Visual Place Recognition
arXiv:2607.14897v1 Announce Type: new Abstract: Recent visual place recognition (VPR) studies have increasingly relied on large-scale datasets to train more robust and discriminative models. Although this trend significa…
FlashDecoder: Real-Time Latent-to-Pixel Streaming Decoder with Transformers
arXiv:2607.14898v1 Announce Type: new Abstract: Real-time video generation demands fast decoding as much as fast denoising, yet current latent video diffusion models rely on 3D convolutional decoders that are slow and me…
OASIS-Map: Object-Level Change Detection in Multi-Session Mapping using Semantic Correspondence Matching
arXiv:2607.14899v1 Announce Type: new Abstract: Map representations which are consistent across repeated visits to a real-world semi-static environment are very useful for long-term robotic inspection. In such settings, …
The Distributed Open-Source Vulnerability Ecosystem
arXiv:2607.14900v1 Announce Type: new Abstract: Identifying known software vulnerabilities is a central task in software supply chain security management. Although publicly available vulnerability information is based on…
FirmPilot: Evidence-Guided Multi-Agent Environment Recovery for IoT Firmware Rehosting
arXiv:2607.14903v1 Announce Type: new Abstract: Firmware rehosting executes firmware images in emulated environments such as QEMU to enable scalable dynamic analysis of Internet of Things (IoT) devices. In practice, reho…
Show Me How You Reason and I'll Tell You Who You Are: Reasoning Graphs for Robust LLM Authorship Attribution
arXiv:2607.14905v1 Announce Type: new Abstract: Given the current trend to employ large language models (LLMs) in almost any imaginable context, LLM-generated text detection and authorship attribution have become a press…
Finite-Sample Conformal Coverage Recovery via Fusion under Degraded Local Guarantees in Occupancy Map Estimation
arXiv:2607.14906v1 Announce Type: new Abstract: Accurate and reliable environmental mapping is a fundamental requirement for multi-robot autonomy. While continuous mapping techniques like Gaussian Process Occupancy Mappi…
CODA: Algorithm-Hardware Co-design for Edge Video Diffusion via NMP-Enabled Compute-Cache Operator Disaggregation
arXiv:2607.14908v1 Announce Type: new Abstract: Deploying Video Diffusion Models (VDMs) on edge devices is appealing for localized and privacy-preserving generation, but their iterative Transformer-based denoising remain…
Human-Robot Interaction in GenAI Architectures via the Agent-Client Protocol
arXiv:2607.14919v1 Announce Type: new Abstract: Recent advances in Generative Artificial Intelligence (GenAI), particularly Large Language Models (LLMs), are driving robotic architectures toward agent-based high-level or…
Random Logit Scaling: Defending Deep Neural Networks Against Black-Box Score-Based Adversarial Example Attacks
arXiv:2607.14921v1 Announce Type: new Abstract: Machine learning models are increasingly adapted in various domains. However, adversarial examples pose a significant threat to the reliable deployment of these models. In …
Random Access to LZ-End: Faster and Deterministic
arXiv:2607.14923v1 Announce Type: new Abstract: The LZ-End parsing of a length-$n$ string is a variation of Lempel-Ziv compression introduced by Kreft and Navarro [DCC 2010], motivated by the lack of a linear-size struct…
Authoring Narrative Visualization in Motion: Visual Storytelling in Swimming Videos
arXiv:2607.14924v1 Announce Type: new Abstract: We investigate how to support authoring narrative visualizations in motion in sports videos, drawing on automated data preparation, systematic analysis, technology probe de…
TanGO: Training-Free 3D Editing via Tangent-Space Guidance and Optimization
arXiv:2607.14927v1 Announce Type: new Abstract: While recent flow-matching 3D generative models (e.g., VecSet) adopt structured representations, their tokens share global context, causing conventional training-free editi…
Benchmarking Face Recognition without Real Faces
arXiv:2607.14932v1 Announce Type: new Abstract: Synthetic face datasets have become effective enough to train face recognition models with accuracy rivaling that of models trained on real photographs. This progress sides…
Still image and spatial-temporal tomato data enabling detection, segmentation, tracking, and video-instance segmentation using strong and weak labels
arXiv:2607.14934v1 Announce Type: new Abstract: In this manuscript we release two datasets for visual sensing of tomato plants grown in commercial-like settings and acquired using a robot. The first is BUTom21 which cons…