Check computer science papers: citations, claims and retractions

Preservation Theorems in Semiring Semantics

Brinke, S., Dawar, A., Grädel, E., & Pago, B. (2026) · arXiv

Advanced Algebra and LogicLogic, Reasoning, and Knowledge

Cited by 0

Skilldex: A Package Manager and Registry for Agent Skill Packages with Hierarchical Scope-Based Distribution

Saha, S., & Hemanth, P. (2026) · arXiv

Natural Language Processing TechniquesArtificial Intelligence Applications

Cited by 0

The Role of Augmented Reality and Virtual Reality in Enhancing Student Motivation and Performance: Evidence from Vocational Education in China Using Self-Determination Theory

Zhang, L., & Kakham, P. (2026) · Qubahan Academic Journal

Augmented Reality ApplicationsEducation and Learning Interventions

Cited by 0

The Best Defense is a Good Offense: Countering LLM-Powered Cyberattacks

Ayzenshteyn, D., Weiss, R., & Mirsky, Y. (2024) · arXiv

Adversarial Robustness in Machine LearningInformation and Cyber Security

Cited by 0

Self-Referential Introspection in Large Language Models: The Critical Threshold for Recursive Self-Improvement

Zhang, J., Yuan, B., & Zhang, Q. (2026) · Entropy

Machine Learning and AlgorithmsLanguage and cultural evolution

Cited by 0

HalluCXR: Benchmarking and Mitigating Hallucinations in Medical Vision-Language Models for Chest Radiograph Interpretation

Wang, H., & Li, Z. (2026) · arXiv

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 0

Temporal Distance Based Self-Supervised Learning for Human Activity Recognition

Bigelli, L., Contoli, C., Kania, N., & Lattanzi, E. (2025) · 2025 Sixth International Conference on Intelligent Data Science Technologies and Applications (IDSTA)

Context-Aware Activity Recognition SystemsDomain Adaptation and Few-Shot Learning

Cited by 0

DreamingComics: A Story Visualization Pipeline via Subject and Layout Customized Generation using Video Models

Kwon, P., & Chen, C. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisData Visualization and Analytics

Cited by 0

Machine Learning-Assisted Systematic Review: A Case Study in Learning Analytics

Xu, Z., Zhuang, X., & Ma, S. (2025) · Education Sciences

Online Learning and AnalyticsMeta-analysis and systematic reviews

Cited by 0

QuantCode-Eval: Benchmarking Quantitative Strategy Code Reproduction from Finance Papers

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

Software Engineering ResearchScientific Computing and Data Management

Cited by 0

Memory Storyboard: Leveraging Temporal Segmentation for Streaming Self-Supervised Learning from Egocentric Videos

Yang, Y., & Ren, M. (2025) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 0

VehicleMemBench: An Executable Benchmark for Multi-User Long-Term Memory in In-Vehicle Agents

Chen, Y., Xu, Y., Ding, X., Fang, X., Liu, S., Lin, L., Zhang, Q., Li, Y., Liu, Q., & Xu, T. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

Cognis: Context-Aware Memory for Conversational AI Agents

Daftari, P., Patel, K., Kapale, S., George, J., & Surendira, S. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Verifiable Unlearning on Edge

Maheri, M. M., Davidson, A., & Haddadi, H. (2025) · Zenodo

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 0

Approaches to Artificial Intelligence Policy Development in K–12 School Districts

McGuire, P., Steiner, M., & Witkowsky, P. (2026) · Educational Policy

Artificial Intelligence in EducationLegal Issues in Education

Cited by 0

Janus: Joint Prefill/Decode Disaggregation with KV-Cache-Aware Multi-Cloud Routing for Edge-Adjacent LLM Serving

Aruna, K. B., Kaliraj, V., Sudha, I., & Sureka, V. (2026) · EAI Endorsed Transactions on Internet of Things

Cloud Computing and Resource ManagementEnergy Efficiency in Computing

Cited by 0

Gated DeltaNet-2: Decoupling Erase and Write in Linear Attention

Hatamizadeh, A., Choi, Y., & Kautz, J. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Mitigating Unintended Memorization with LoRA in Federated Learning for LLMs

Bossy, T., Vignoud, J., Rabbani, T., Pastoriza, J. R. T., & Jaggi, M. (2025) · arXiv

Privacy-Preserving Technologies in DataDomain Adaptation and Few-Shot Learning

Cited by 0

When to Memorize and When to Stop: Gated Recurrent Memory for Long-Context Reasoning

Sheng, L., Zhang, Y., Ma, W., Shi, Y., Huang, T., Wang, X., Zhang, A., Shen, K., & Chua, T.-S. (2026) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

CodeSteer: Symbolic-Augmented Language Models via Code/Text Guidance

Chen, Y., Hao, Y., Liu, Y., Zhang, Y., & Fan, C. (2025) · arXiv

Topic ModelingSoftware Engineering Research

Cited by 0

Adoption of generative artificial intelligence in K-12 education: Teacher preparedness, ethical concerns, and implementation challenges

Ayanda, A. O. (2026) · International Journal of Applied Resilience and Sustainability

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Enhancing Agent Learning through World Dynamics Modeling

Sun, Z., Shi, H., Côté, M.-A., Berseth, G., Yuan, X., & Liu, B. (2024) · arXiv

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 0

CAMELoT: Towards Large Language Models with Training-Free Consolidated Associative Memory

He, Z., Karlinsky, L., Kim, D., McAuley, J., Krotov, D., & Feris, R. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

NUTMEG: Separating Signal From Noise in Annotator Disagreement

Ivey, J., Gauch, S., & Jurgens, D. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing

Machine Learning and Data ClassificationMobile Crowdsensing and Crowdsourcing

Cited by 0