{"total":20,"rows":[{"id":"2407.08735","title":"Real-Time Anomaly Detection and Reactive Planning with Large Language Models","created":"2024-07-11","cited_by_count":68,"area":null},{"id":"2308.14815","title":"Distributionally Robust Statistical Verification with Imprecise Neural Networks","created":"2023-08-28","cited_by_count":12,"area":null},{"id":"2505.10547","title":"Real-Time Out-of-Distribution Failure Prevention via Multi-Modal Reasoning","created":"2025-05-15","cited_by_count":10,"area":null},{"id":"2505.23692","title":"Mobi-$\\pi$: Mobilizing Your Robot Learning Policy","created":"2025-05-29","cited_by_count":10,"area":null},{"id":"2311.06481","title":"Topology-Matching Normalizing Flows for Out-of-Distribution Detection in Robot Learning","created":"2023-11-11","cited_by_count":7,"area":null},{"id":"2309.13475","title":"Detecting and Mitigating System-Level Anomalies of Vision-Based Controllers","created":"2023-09-23","cited_by_count":4,"area":null},{"id":"2309.06655","title":"Out of Distribution Detection via Domain-Informed Gaussian Process State Space Models","created":"2023-09-13","cited_by_count":3,"area":null},{"id":"2407.21748","title":"Diagnostic Runtime Monitoring with Martingales","created":"2024-07-31","cited_by_count":3,"area":null},{"id":"2411.00107","title":"First, Learn What You Don't Know: Active Information Gathering for Driving at the Limits of Handling","created":"2024-10-31","cited_by_count":3,"area":null},{"id":"2505.07998","title":"Vision Foundation Model Embedding-Based Semantic Anomaly Detection","created":"2025-05-12","cited_by_count":3,"area":null},{"id":"2307.01317","title":"Density-based Feasibility Learning with Normalizing Flows for Introspective Robotic Assembly","created":"2023-07-03","cited_by_count":2,"area":null},{"id":"2505.14938","title":"Scan, Materialize, Simulate: A Generalizable Framework for Physically Grounded Robot Planning","created":"2025-05-20","cited_by_count":2,"area":null},{"id":"2510.21254","title":"Out-of-Distribution Detection for Safety Assurance of AI and Autonomous Systems","created":"2025-10-24","cited_by_count":2,"area":null},{"id":"2606.29699","title":"Early Warning Signals for OpenVLA Failure under Visual Distribution Shift","created":"2026-06-29","cited_by_count":2,"area":null},{"id":"2608.04246","title":"SAFECAST: Robust Failure Detection for VLA Policies with Contrast-Set Training and Calibration","created":"2026-08-04","cited_by_count":2,"area":null},{"id":"2511.20811","title":"Conformal Safety Monitoring for Flight Testing: A Case Study in Data-Driven Safety Learning","created":"2025-11-25","cited_by_count":1,"area":null},{"id":"2509.12081","title":"Deceptive Risk Minimization: Out-of-Distribution Generalization by Deceiving Distribution Shift Detectors","created":"2025-09-15","cited_by_count":0,"area":null},{"id":"2512.24470","title":"Foundation models on the bridge: Semantic hazard detection and safety maneuvers for maritime autonomy with vision-language models","created":"2025-12-30","cited_by_count":0,"area":null},{"id":"2606.14585","title":"Sensitivity Shaping for Latent Modeling","created":"2026-06-12","cited_by_count":0,"area":null},{"id":"2607.26121","title":"Towards Trustworthy Embodied Intelligence: A Systems Framework and Graded Trustworthiness Levels","created":"2026-07-28","cited_by_count":0,"area":null}],"next_cursor":null}