Check computer science papers: citations, claims and retractions

Simulating quantum computers with probabilistic methods

Nest, M. V. D. (2009) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 3

Incorporate Transformer-Based Models for Anomaly Detection

Dewi, D. A. (2025) · Journal of Applied Data Sciences

Anomaly Detection Techniques and ApplicationsTime Series Analysis and Forecasting

Cited by 3

Implementation of an IEEE 802.11ax-Based Maritime Mesh Network in the Red Sea

Li, Y., Xu, J., Khachatrian, N., & Alouini, M.-S. (2025) · arXiv

Mobile Ad Hoc NetworksWireless Networks and Protocols

Cited by 3

The Rule of Law for Artificial Intelligence in Public Administration: A System Safety Perspective

Nouws, S., & Dobbe, R. (2024) · Information Technology and Law Series

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 3

Certifying Model Accuracy under Distribution Shifts

Kumar, A., Levine, A., Goldstein, T., & Feizi, S. (2022) · arXiv

Adversarial Robustness in Machine LearningExplainable Artificial Intelligence (XAI)

Cited by 3

JSONSchemaBench: A Rigorous Benchmark of Structured Outputs for Language Models

Geng, S., Cooper, H., Moskal, M., Jenkins, S., Berman, J., Ranchin, N., West, R., Horvitz, E., & Nori, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 3

Stacking Ensemble Learning Network Attack Detection Based on Industrial Processes in CPS-Enabled Smart Water Conservancy

Xia, Z., Wang, S., Tan, J., & Hu, Z. (2024) · 2024 27th International Conference on Computer Supported Cooperative Work in Design (CSCWD)

Network Security and Intrusion DetectionSmart Grid Security and Resilience

Cited by 3

Knowledge in Superposition: Unveiling the Failures of Lifelong Knowledge Editing for Large Language Models

Hu, C., Cao, P., Chen, Y., Liu, K., & Zhao, J. (2024) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 3

Adaptive Information Modulation: Designing Governance Mechanisms for Multi-Agent Artificial Intelligence Systems

Chen, Q., Ilami, S., Lore, N., & Heydari, B. (2026) · Journal of Mechanical Design

Multi-Agent Systems and NegotiationGame Theory and Applications

Cited by 3

Exposing the Hidden Layer: Software Repositories in the Service of Seo Manipulation

Wu, M., Hong, G., Mai, W., Wu, X., Zhang, L., Pu, Y., Chai, H., Ying, L., Duan, H., & Yang, M. (2025) · 2025 IEEE/ACM 47th International Conference on Software Engineering (ICSE)

Spam and Phishing DetectionWeb Application Security Vulnerabilities

Cited by 3

KIWI: A Dataset of Knowledge-Intensive Writing Instructions for Answering Research Questions

Xu, F., Lo, K., Soldaini, L., Kuehl, B., Choi, E., & Wadden, D. (2024) · Findings of the Association for Computational Linguistics ACL 2024

Topic ModelingSpeech and dialogue systems

Cited by 3

Conversational AI Systems for Social Good: Opportunities and Challenges

Qi, P., Huang, J., Wu, Y., He, X., & Zhou, B. (2021) · arXiv

Speech and dialogue systemsEthics and Social Impacts of AI

Cited by 3

Can Language Models Solve Olympiad Programming?

Shi, Q., Tang, M., Narasimhan, K., & Yao, S. (2024) · arXiv

Topic ModelingTeaching and Learning Programming

Cited by 3

Noise Robust Learning with Hard Example Aware for Pathological Image classification

Peng, T., Zhu, C., Luo, Y., Liu, J., Wang, Y., & Jin, M. (2020) · 2020 IEEE 6th International Conference on Computer and Communications (ICCC)

Machine Learning and Data ClassificationAI in cancer detection

Cited by 3

XLand-MiniGrid: Scalable Meta-Reinforcement Learning Environments in JAX

Nikulin, A., Kurenkov, V., Zisman, I., Agarkov, A., Sinii, V., & Kolesnikov, S. (2023) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 3

An Explainable AI Approach to Large Language Model Assisted Causal Model Auditing and Development

Zhang, Y., Fitzgibbon, B., Garofolo, D., Kota, A., Papenhausen, E., & Mueller, K. (2023) · arXiv

Bayesian Modeling and Causal InferenceExplainable Artificial Intelligence (XAI)

Cited by 3

Automated detection and classification for craters based on geometric matching

Chen, J.-Q., Cui, P.-Y., & Cui, H.-T. (2011) · SPIE Proceedings

Image and Object Detection TechniquesAdvanced Image and Video Retrieval Techniques

Cited by 3

AI for/by the majority world: From technologies of dispossession to technologies of radical care

Ricaurte, P. (2023) · Proceedings of the 2023 AAAI/ACM Conference on AI, Ethics, and Society

Ethics and Social Impacts of AIFeminism, Gender, and Intersectionality

Cited by 3

AI Supply Chain Security: MBOM-PQC Provenance, PQC Attestation, and a Maturity Model for Quantum-Resistant Assurance

Campbell, R. (2026) · Systems

Adversarial Robustness in Machine LearningCryptography and Data Security

Cited by 3

SceneSplat++: A Large Dataset and Comprehensive Benchmark for Language Gaussian Splatting

Ma, M., Ma, Q., Li, Y., Cheng, J., Yang, R., Ren, B., Popovic, N., Wei, M., Sebe, N., Konukoglu, E., et al. (2025) · Advances in Neural Information Processing Systems 38

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 3

DevSecOps in Cloud Native CyberSecurity: Shifting Left for Early Security, Securing Right with Continuous Protection

Manchana, R. (2024) · International Journal of Science and Research (IJSR)

Web Application Security VulnerabilitiesSoftware Engineering Techniques and Practices

Cited by 3

Mind2Web 2: Evaluating Agentic Search with Agent-as-a-Judge

Gou, B., Huang, Z., Ning, Y., Gu, Y., Lin, M., Qi, W., Kopanev, A., Yu, B., Gutiérrez, B. J., Shu, Y., et al. (2025) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 3

Evaluating Domain Coverage in Low-Resource Generative Chatbots: A Comparative Study of Open-Domain and Closed-Domain Approaches Using BLEU Scores

Soni, A., Arora, R., Kumar, A., & Panwar, D. (2024) · 2024 International Conference on Electrical Electronics and Computing Technologies (ICEECT)

Speech and dialogue systemsAI in Service Interactions

Cited by 3

Towards Possibilities & Impossibilities of AI-generated Text Detection: A Survey

Ghosal, S. S., Chakraborty, S., Geiping, J., Huang, F., Manocha, D., & Bedi, A. S. (2023) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 3