Fault Detection

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12 papers in the last four weeks, with none the four weeks before. 0.1% of all new papers.

Jul 13Week of Sep 28

Latest papers 53

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Early Warning Signals for OpenVLA Failure under Visual Distribution Shift
Jun 29, 2026Dipesh Tharu Mahato, Rachel RenRobot Failure Detection Distribution Shift
New York University
Mechanism-Driven Monitors for Preemptive Detection of LLM Training Instability
Jun 26, 2026Ruixuan Huang, Yipei Wang, Wenyi Fang +7Fault Detection LLM Training
1HKUST · 2Huawei · 3Independent Researcher
An Agentic AI Pipeline for Appliance-Level Energy Anomaly Detection and LLM-Driven Recommendations
Jun 26, 2026Dihia Falouz, Aida Douaibia, Amine Bechar +3Retrieval-Augmented Generation LLM Agent Evaluation
Laboratoire LITAN École supérieure en Sciences et Technologies de l’Informatique et du Numérique RN 75, Amizour 06300, Bejaia, Algérie · College of Computing and Informatics University of Sharjah Sharjah, UAE · College of Engineering and Information Technology (CEIT) University of Dubai Dubai, UAE
Lightweight Transformer Models for On-Device Fault Detection: A Benchmark Study on Resource-Constrained Deployment
Jun 23, 2026Disha PatelEfficient Transformer Inference Adaptive Inference
Department of Computer Science California State University, Fullerton
Learning a Normal World Model for Few-Shot Boundary-Calibrated Abnormality Detection
Jun 20, 2026Weizhi Nie, Weichao Liu, Weijie Wang +1Few-Shot Anomaly Detection World Model Learning
Tianjin University
Hierarchical ODE: Learning Continuous-Time Physical Prototypes for Early Link Failure Detection
Jun 12, 2026Jiaen Lv, Leran Qi, Shaowei WangIrregular Time-Series Modeling Prototype Learning
School of Electronic Science and Engineering, Nanjing University, Nanjing, China.
Data-aware Static Analysis: Improving Detection of Semantic Faults in Machine Learning Code Using Data Characteristics
Jun 8, 2026Willem Meijer, Kristian Sandahl, Dániel VarróFault Detection Static Code Analysis
Linköping University, Linköping, Sweden
ActProbe: Action-Space Probe for Early Failure Detection of Generative Robot Policies
Jun 7, 2026Bingjia Huang, Xiangyu Li, Xiang Wang +7Robot Policy Learning Robot Failure Detection
Institute for AI Industry Research (AIR), Tsinghua University · University of Electronic Science and Technology of China · Work done during internship at AIR, Tsinghua University. +1
TPA-AD: A Two-Stage Pseudo Anomaly-Guided Method for Bearing Time-Series Anomaly Detection
Jun 2, 2026Xiancheng Wang, Zhibo Zhang, Ran Li +4Fault Detection Unsupervised Anomaly Detection
School of Ocean Engineering, Harbin Institute of Technology, West Wenhua Road, Weihai, 264209, Shandong, China · Technical Center, Bogie Development Department, CRRC Qingdao Sifang Locomotive and Rolling Stock Co., Ltd, Jinhong East Road, Qingdao, 266111, Shandong, China · Qingdao University, No. 308 Ningxia Road, Qingdao, 266071, Shandong, China
Monitoring Agentic Systems Before They're Reliable
Jun 1, 2026Marisa Ferrara Boston, Glen Hanson, Effi Georgala +2Agent Failure Analysis Agent Reliability
Reins AI USA · Veraitech USA
Hide-and-Seek in Trajectories: Discovering Failure Signals for VLA Runtime Monitoring
May 29, 2026Seongheon Park, Wendi Li, Changdae Oh +4Robot Failure Detection Fault Detection
University of Wisconsin–Madison · Georgia Institute of Technology
How VLAs Fail Differently: Black-Box Action Monitoring Reveals Architecture-Specific Failure Signatures
May 27, 2026Krishnam GuptaAgent Failure Analysis Robot Failure Detection
Independent Research San Francisco, CA
Diffuse to Detect: Generative Diffusion Models for Unsupervised IC Anomaly Detection
May 26, 2026Yuxuan Yin, Chen He, Todd Jacobs +4Semiconductor Manufacturing Industrial Anomaly Detection
Department of Electrical and Computer Engineering, University of California Santa Barbara, CA, USA · Automotive Processing, NXP Semiconductors, TX, USA
A Universal Cliff and a Design Fingerprint: Cross-Section Defect Detection Under LLM Orchestration
May 25, 2026Hiroki FukuiMulti-Agent LLM Systems LLM Evaluation
Research Institute of Criminal Psychiatry · Department of Neuropsychiatry, Graduate School of Medicine, Kyoto University
FAME: Failure-Aware Mixture-of-Experts for Message-Level Log Anomaly Detection
May 21, 2026Huanchi Wang, Zihang Huang, Yifang Tian +3Fault Detection Mixture-of-Experts Models
Department of Electrical and Computer Engineering University of Toronto, Toronto, Ontario
PrefixGuard: Online Failure Warning and Trace-Grounded Diagnosis for LLM Agents
May 7, 2026Xinmiao Huang, Jinwei Hu, Qisong He +4Fault Detection AI Agent Monitoring
University of Liverpool · Université Grenoble Alpes
A Self-Healing Framework for Reliable LLM-Based Autonomous Agents
May 7, 2026Cheonsu Jeong, Younggun ShinSoftware Engineering Agents Fault Detection
AX Center, SAMSUNG SDS, Seoul, South Korea · Dept. of Artificial Intelligence, Graduate School of Engineering, Yonsei University, Seoul, South Korea
Distributed Observer-based Fault Detection over Intelligent Networked Multi-Vehicle Systems
May 4, 2026Mohammadreza Doostmohammadian, Hamid R. RabieeIntelligent Transportation Systems Fault Detection
Hierarchical Fault Detection and Diagnosis for Transformer Architectures
Apr 30, 2026Sigma Jahan, Saurabh Singh Rajput, Tushar Sharma +1Software Engineering Automated Software Testing
Dalhousie University, Halifax, Canada
Avionic Main Fuel Pump Simulation and Fault-Diagnosis Benchmark
Apr 23, 2026Felix Leonhard Janzen, Lukas Moddemann, Alexander Diedrich +1Fault Detection Unsupervised Anomaly Detection
Institute of Artificial Intelligence
Neuromorphic Parameter Estimation for Power Converter Health Monitoring Using Spiking Neural Networks
Apr 17, 2026Hyeongmeen Baik, Hamed Poursiami, Maryam Parsa +1Parameter Estimation Predictive Maintenance
University of Wisconsin–Madison Madison, Wisconsin, USA · George Mason University Fairfax, Virginia, USA
CWT-Enhanced Vibration Sensing With Time-Frequency Region Localization Using YOLO
Sep 3, 2025Po-Heng Chou, Wei-Lung Mao, Ru-Ping Lin +2Fault Detection You Only Look Once
Research Center for Information Technology Innovation (CITI), Academia Sinica (AS), Taipei 11529, Taiwan · Department of Electrical Engineering, National Yunlin University of Science and Technology (NYUST), Yunlin 64002, Taiwan
FaultLens: Learning Compact Behavioral Test Suites for Generated Operational Programs
Date pendingZeming Liu, Hang Lyu, Jingtao ZhangAutomated Software Testing Mutation Testing
Independent Researchers

Jun 29, 2026, cs.CVJ/K move · Enter open · S save

Early Warning Signals for OpenVLA Failure under Visual Distribution Shift

Dipesh Tharu Mahato, Rachel Ren

New York University

Robot Failure Detection Distribution Shift Fault Detection VLM Interpretability Robustness of VLA Models

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Vision Language Action models combine perception, language grounding, and control in a single policy, but their failures are hard to diagnose once visual conditions shift. We test whether OpenVLA feedforward activations contain linearly decodable information about near term task failure in LIBERO manipulation rollouts. The policy is fixed throughout. We log internal activations during execution and fit lightweight monitors after the rollouts are collected. Occlusion is the main controlled stress test. It reduces OpenVLA success from

57\%

17\%

over

100

episodes per condition. Under this shift, a logistic probe at layer 16 reaches AUROC

0.972

and AUPRC

0.352

for predicting failure within a

15

step horizon. It outperforms both a mean difference direction and an action disagreement baseline. A sparse layer sweep finds uneven decodability across depth: layer 16 is strongest among the tested layers, layer 8 remains informative, and layer 10 is weaker. To check whether the monitor is just an occlusion detector, we also evaluate color shift and camera jitter without refitting. Color shift produces no failures in this setting, so it is a benign control rather than a failure benchmark. Camera jitter does induce failures, and the occlusion trained monitor remains above random. The result is deliberately limited: OpenVLA internal states contain failure relevant structure under controlled perceptual shift, but these experiments do not establish a causal mechanism, task held out generalization, or a deployable recovery system.

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Latest papers 53