Check computer science papers: citations, claims and retractions

WikiBigEdit: Understanding the Limits of Lifelong Knowledge Editing in LLMs

Thede, L., Roth, K., Bethge, M., Akata, Z., & Hartvigsen, T. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Fast Weight Attention for Continual Learning

Zhang, Y., Ta, S., Zhang, J., Feng, J., Li, S., Zhang, Y., Liu, Y., Yuan, H., Wang, M., Gu, Q., et al. (2026) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 0

Who is the Agent to Blame? Localizing Faithfulness and Citation Mistakes in Agentic Deep Research

Hirsch, E., Wan, D., Wang, H., Stengel-Eskin, E., Bansal, M., & Dagan, I. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

FreshStack: Building Realistic Benchmarks for Evaluating Retrieval on Technical Documents

Thakur, N., Lin, J., Havens, S., Carbin, M., Khattab, O., & Drozdov, A. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

ZeroLeak: Using LLMs for Scalable and Cost Effective Side-Channel Patching

Tol, M. C., & Sunar, B. (2023) · arXiv

Cryptographic Implementations and SecuritySecurity and Verification in Computing

Cited by 0

Nex-N1: Agentic Models Trained via a Unified Ecosystem for Large-Scale Environment Construction

AGI Team, Cai, Y., Chen, L., Chen, Q., Ding, Y., Fan, L., Fu, W., Gao, Y., Guo, H., Guo, P., et al. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

xLSTM 7B: A Recurrent LLM for Fast and Efficient Inference

Beck, M., Pöppel, K., Lippe, P., Kurle, R., Blies, P. M., Klambauer, G., Böck, S., & Hochreiter, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Anomaly detection and root-cause identification in microservices: a survey

Barata, L. M., Sequeira, S., Lopes, E., Inácio, P. R. M., & Freire, M. M. (2026) · Cluster Computing

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0

A Multi-Dimensional Decision Framework for Evaluating and Selecting AI-Enabled Instructional Technology in U.S. Higher Education

Akter, F., & Parvatha Reddy, K. K. (2025) · International Journal For Multidisciplinary Research

Artificial Intelligence in EducationEducational Innovations and Challenges

Cited by 0

Reality Check: Measuring Real-World Applicability of State-of-the-Art Audio Deepfake Detectors on Social Media Data

Schäfer, K., & Steinebach, M. (2026) · Proceedings of the International AAAI Conference on Web and Social Media

Speech Recognition and SynthesisDigital Media Forensic Detection

Cited by 0

BeliefShift: Benchmarking Temporal Belief Consistency and Opinion Drift in LLM Agents

Myakala, P. K., Agrawal, M., & Manche, R. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

IslamicMMLU: A Benchmark for Evaluating LLMs on Islamic Knowledge

Abdelaal, A., Haffar, M. N. A., Fawzi, M., & Magdy, W. (2026) · arXiv

Topic ModelingEducation and Islamic Studies

Cited by 0

REALTALK: A 21-Day Real-World Dataset for Long-Term Conversation

Lee, D.-H., Maharana, A., Pujara, J., Ren, X., & Barbieri, F. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 0

MiniMax-01: Scaling Foundation Models with Lightning Attention

MiniMax, Li, A., Gong, B., Yang, B., Shan, B., Liu, C., Zhu, C., Zhang, C., Guo, C., Chen, D., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Quantifying Cross-Modality Memorization in Vision-Language Models

Wen, Y., Huang, Y., Goldstein, T., Kumar, R., Ghazi, B., & Zhang, C. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

Unifying Tree Search Algorithm and Reward Design for LLM Reasoning: A Survey

Wei, J., Zhang, X., Yang, Y., Huang, W., Cao, J., Xu, S., Zhuang, X., Gao, Z., Abdul-Mageed, M., Lakshmanan, L. V. S., et al. (2025) · arXiv

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 0

A Reference Architecture for Autonomous Networks: An Agent-Based Approach

Sifakis, J., Li, D., Huang, H., Zhang, Y., Dang, W., Huang, R., & Yu, Y. (2025) · arXiv

Software-Defined Networks and 5GMobile Agent-Based Network Management

Cited by 0

Variational Linear Attention: Stable Associative Memory for Long-Context Transformers

Pandey, V., & Singh, G. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Artificial intelligence in higher education teaching: Usage, attitudes and trust among Croatian educators

Luketić, D., & Diković, M. (2026) · Sodobna pedagogika

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

The Use of Generative AI by Students with Disabilities in UK Higher Education: A Mixed-Methods Survey of 125 Students

Shepherd, N. J. (2025) · Journal of Knowledge Learning and Science Technology ISSN: 2959-6386 (online)

Artificial Intelligence in EducationEducational Technology in Learning

Cited by 0

DAEDALUS: Bootstrapping Agent Memory from Self-Generated Tasks

Edy, A., Conti, M., Xing, V., Allard, M.-A., Benhamdane, N., & Viaud, G. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

NewtonBench: Benchmarking Generalizable Scientific Law Discovery in LLM Agents

Zheng, T., Tam, K. K.-W., Nguyen, N. H.-N. K., Xu, B., Wang, Z., Cheng, J., Tsang, H. T., Wang, W., Bai, J., Fang, T., et al. (2025) · arXiv

Artificial Intelligence ApplicationsModel Reduction and Neural Networks

Cited by 0

Guiding Human Validation of LLM-Generated Code via Verifiable Literate Programming

Yuan, Z., Lu, W., Wu, H., Jin, D., & Wu, C. (2026) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Revisiting MLLMs: An In-Depth Analysis of Image Classification Abilities

Liu, H., Xiao, L., Liu, J., Li, X., Feng, Z., Yang, S., & Wang, J. (2024) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0