Toward Standardized Cross-Vendor Agent Tool Trust Management in Autonomous Networks
arXiv:2607.25914v1 Announce Type: new Abstract: Autonomous Network Levels 4-5 require AI agents to invoke tools across vendor boundaries without human…
Evaluating Communicative Belief Updates in Large Language Models via Implicature Recognition and Cancellation
arXiv:2607.25094v2 Announce Type: cross Abstract: Human language is driven by unspoken beliefs and belief updates, making these critical to model…
Matrix-Free Photoacoustic Image Reconstruction via Sensor-Token Self-Attention
arXiv:2607.25576v1 Announce Type: new Abstract: Photoacoustic tomography (PAT) combines the optical absorption contrast of biological tissue with the spatial resolution…
PatientAgentBench: A Benchmark Framework for Evaluating Patient-Facing Health AI Agents
arXiv:2607.25485v1 Announce Type: new Abstract: Health AI is evolving from answering questions to agentic systems that converse with patients, reason…
scMIR: a vision-language foundation model for single-cell light microscopy image representation
arXiv:2607.22712v2 Announce Type: replace-cross Abstract: Single-cell light microscopy images have become an important data source for characterizing cell phenotypes, but…
ClinFusion: A Vision-Centric Multimodal LLM System for Holistic Medical Understanding
arXiv:2607.24743v2 Announce Type: replace-cross Abstract: Multimodal large language models (MLLMs) hold immense potential to revolutionize clinical practice, yet deploying them…
Lantern: Conflict-Aware Gradient Blending for Physics-Guided Diffusion Models in Calorimeter Simulation
arXiv:2607.25060v1 Announce Type: cross Abstract: Monte Carlo simulation of calorimeter showers is a principal bottleneck for the High-Luminosity LHC, and…
Extended Reality as a Mediation Layer for Situated Human Control in Human-Robot Teaming
arXiv:2607.25047v1 Announce Type: cross Abstract: Extended Reality (XR) is increasingly used in human-robot interaction to communicate robot intent, planned motion,…
Directional Influence Function: Estimating Training Data Influence in Constrained Learning
arXiv:2607.23388v2 Announce Type: replace-cross Abstract: As constrained learning becomes increasingly common, models are trained under explicit feasibility requirements to enforce…