Check computer science papers: citations, claims and retractions

KIVI: A Tuning-Free Asymmetric 2bit Quantization for KV Cache

Liu, Z., Yuan, J., Jin, H., Zhong, S., Xu, Z., Braverman, V., Chen, B., & Hu, X. (2024) · arXiv

Advanced Neural Network ApplicationsParallel Computing and Optimization Techniques

Cited by 0

Subtype-Aware Registration of Longitudinal Electronic Health Records

Gai, X., Jiang, S., & Zhang, A. R. (2026) · Journal of the American Statistical Association

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 0

Analyzing Challenges in Deployment of the SLSA Framework for Software Supply Chain Security

Tamanna, M., Hamer, S., Tran, M., Fahl, S., Acar, Y., & Williams, L. (2024) · arXiv

Information and Cyber SecuritySoftware Engineering Techniques and Practices

Cited by 0

SUPER: Evaluating Agents on Setting Up and Executing Tasks from Research Repositories

Bogin, B., Yang, K., Gupta, S., Richardson, K., Bransom, E., Clark, P., Sabharwal, A., & Khot, T. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Detecting Multi-Agent Collusion Through Multi-Agent Interpretability

Rose, A., Cullen, C., Abdelnabi, S., Torr, P., Kaplowitz, B. G., & de Witt, C. S. (2026) · arXiv

Explainable Artificial Intelligence (XAI)Adversarial Robustness in Machine Learning

Cited by 0

Cmprsr: Abstractive Token-Level Question-Agnostic Prompt Compressor

Zakazov, I., Argin, B., Gabouj, O., Charaf, K., Sharipov, A., Semiz, A., Drudi, L., Baldwin, N., & West, R. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Pre-Compiled Pipeline Shards for Distributed LLM Inference on Intel AI PC Fleets

Berenbaum, T., & Venkatachalam, M. (2026) · arXiv

Parallel Computing and Optimization TechniquesNatural Language Processing Techniques

Cited by 0

When Should We Orchestrate Multiple Agents?

Bhatt, U., Kapoor, S., Upadhyay, M., Sucholutsky, I., Quinzan, F., Collins, K. M., Weller, A., Wilson, A. G., & Zafar, M. B. (2025) · arXiv

Multi-Agent Systems and NegotiationGame Theory and Voting Systems

Cited by 0

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

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

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