A machine learning framework for predicting and modulating condition-dependent protein phase separation
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Untrusted Authors, Trusted Answers: A Calculus of Fidelity-Graded Translations
arXiv:2607.14137v2 Announce Type: cross Abstract: To answer a question about a program, move the program to where the question is…
Do Models Fake Alignment Without Clear Consequences?
arXiv:2607.24758v2 Announce Type: new Abstract: Large language models are capable of recognizing evaluation contexts and altering their behavior to reflect…
Why Public Service AI Governance Frameworks Risk Failing in the Age of General-Purpose AI: Lessons from Policing
arXiv:2607.25648v1 Announce Type: cross Abstract: Public services face growing pressure to adopt artificial intelligence (AI) to close the gap between…
OmniPhys: Knowledge-Graph-Driven Benchmarking and Collective Optimization for Physical Commonsense in Text-to-Image Generation
arXiv:2607.25641v1 Announce Type: cross Abstract: While text-to-image models exhibit remarkable visual fidelity, they frequently violate fundamental physical commonsense. Existing benchmarks…
Domain-Prior-Regularized Graph Modeling for Anomaly Detection in Cyber-Physical Systems
arXiv:2607.23197v1 Announce Type: cross Abstract: Anomaly detection on multivariate sensor time series is critical for industrial monitoring of cyber-physical systems…
DisasterTD: Disaster Toponym Disambiguation Using Multimodal LLMs and Cross-View Geolocalization
arXiv:2607.24856v1 Announce Type: cross Abstract: Social media imagery (SMI) provides timely and fine-grained ground perspectives that are valuable for situational…
CoTinyVLA: Chain-of-Thought Distillation for a Sub-Billion-Parameter Vision-Language-Action Model
arXiv:2607.25487v1 Announce Type: new Abstract: Vision-Language-Action (VLA) models translate natural-language commands into robot action sequences, but leading systems on the…
Inferring Missing Trajectory Data with Temporal Convolutional Networks
arXiv:2607.25147v1 Announce Type: new Abstract: Trajectory data collected in real-world settings is frequently incomplete due to sensor failure, communication loss,…
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…