Check computer science papers: citations, claims and retractions

Agent Primitives: Reusable Latent Building Blocks for Multi-Agent Systems

Jin, H., Kuang, P., Yu, Y., Yuan, X., & Wang, H. (2026) · arXiv

Multi-Agent Systems and NegotiationNatural Language Processing Techniques

Cited by 0

Analysis of Techniques to Ensure Data Security and Employee Privacy in E-HRM Systems

Wadhwa, S. N., Bhardwaj, G., & Pratap Srivastava, A. (2024) · 2024 1st International Conference on Sustainable Computing and Integrated Communication in Changing Landscape of AI (ICSCAI)

Information and Cyber SecurityPrivacy, Security, and Data Protection

Cited by 0

Twin: Playing an Unknown Game with a Test-Time Digital Twin

Skoutnev, A., Acharya, K., Longhitano, G., Udell, M., Ellis, K., & Drori, I. (2026) · arXiv

Artificial Intelligence in GamesAI-based Problem Solving and Planning

Cited by 0

Revisiting Test-Time Scaling: A Survey and a Diversity-Aware Method for Efficient Reasoning

Chung, H.-L., Hsiao, T.-Y., Huang, H.-Y., Cho, C., Lin, J.-R., Ziwei, Z., & Chen, Y.-N. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A Study on the Role of Midjourney, A Generative Artificial Intelligence Tool, in Enhancing Student Creativity in Illustration Design Classes

He, S. (2026) · Journal of Computer Assisted Learning

Artificial Intelligence in EducationCreativity in Education and Neuroscience

Cited by 0

MEM1: Learning to Synergize Memory and Reasoning for Efficient Long-Horizon Agents

Zhou, Z., Qu, A., Wu, Z., Kim, S., Prakash, A., Rus, D., Zhao, J., Low, B. K. H., & Liang, P. P. (2025) · arXiv

Topic ModelingSpeech and dialogue systems

Cited by 0

ReviewScore: Misinformed Peer Review Detection with Large Language Models

Ryu, H., Jang, D., Lee, H. S., Jeong, J., Kim, G., Cho, D., Chu, G., Hwang, M., Jang, H., Kim, C., et al. (2025) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 0

Adaptive hybrid speculative decoding for accelerating large language model inference

Yong, Y., Yang, T. T., Gao, S. S., & Yin, Y. H. (2026) · Neurocomputing

Natural Language Processing TechniquesTopic Modeling

Cited by 0

From Failed Trajectories to Reliable LLM Agents: Diagnosing and Repairing Harness Flaws

Chen, M., Wang, J., Liu, Z., Wang, Y., Zheng, H., & Wang, Q. (2026) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 0

Machine learning-driven risk prediction for post-hospitalization diabetes case management: Integrating clinical and social determinants of health

Lee, S.-Y., Saleem, M., Land, A. M., DeLaney, E. W., Garretson, A. R., Patel, M., Hall, A. G., Westrick, S., Ovalle, F., Cherrington, A. L., et al. (2026) · International Journal of Medical Informatics

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0

Attention, Please! PixelSHAP Reveals What Vision-Language Models Actually Focus On

Goldshmidt, R. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Multimodal Machine Learning Applications

Cited by 0

Towards Understanding Multi-Task Learning (Generalization) of LLMs via Detecting and Exploring Task-Specific Neurons

Leng, Y., & Xiong, D. (2024) · arXiv

Domain Adaptation and Few-Shot LearningExplainable Artificial Intelligence (XAI)

Cited by 0

Agent libOS: A Runtime Substrate for Capability-Controlled Self-Evolving LLM Agents

Zhang, Y. (2026) · arXiv

Security and Verification in ComputingAccess Control and Trust

Cited by 0

HierMem: Context Curation Over Context Scaling — Hierarchical Memory with Invariant Constraint Placement for Long-Horizon LLM Conversations

Doke, Y. (2026) · Research Square

Speech and dialogue systemsTopic Modeling

Cited by 0

Optimizing ML Training with Metagradient Descent

Engstrom, L., Ilyas, A., Chen, B., Feldmann, A., Moses, W., & Madry, A. (2025) · arXiv

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 0

Better Recommendations: Validating AI-generated Subject Terms Through LOC Linked Data Service

Tang, K. L., & Jiang, Y. (2025) · arXiv

Library Science and Information SystemsWeb and Library Services

Cited by 0

IterResearch: Rethinking Long-Horizon Agents with Interaction Scaling

Chen, G., Qiao, Z., Chen, X., Yu, D., Xu, H., Zhao, W. X., Song, R., Yin, W., Yin, H., Zhang, L., et al. (2025) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Quantum error correction and fault tolerance: A comprehensive tutorial

Spencer, D. J., Jain, S. P., Tanggara, A., Sun, Z., Haug, T., Khu, D., & Bharti, K. (2026) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 0

Breakpoint: Scalable evaluation of system-level reasoning in LLM code agents

Hariharan, K., Girit, U., Wang, A., & Andreas, J. (2025) · arXiv

Software Engineering ResearchSoftware Testing and Debugging Techniques

Cited by 0

Copy is All You Need

Lan, T., Cai, D., Wang, Y., Huang, H., & Mao, X.-L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Assessment-focused governance mode? Mapping Generative AI policies across 76 UK higher education institutions: Policy framework and recommendations

Tao, Y., Ryan, M., Bialy, F., & Zhang, X. (2026) · Research Square (preprint)

Artificial Intelligence in EducationAcademic integrity and plagiarism

Cited by 0

Agents' Last Exam

Sun, Y., Han, X., Zhang, W., Pang, Y., Wang, T., Cao, Y., Huang, Y., Liu, X., Di, Z., Duroiu, C., et al. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

A Relative-Computability Theory of Self-Improving Agents

Lu, C.-P. (2026) · arXiv

Computability, Logic, AI Algorithmssemigroups and automata theory

Cited by 0

HTTP Security Headers Analysis of Several Macedonian Website Categories

Mileva, A., Bikov, D., Tasheva, B., & Brashnarova, A. (2025) · Computer Science Journal of Moldova

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 0