Check computer science papers: citations, claims and retractions

OPINE-World: Programmatic World Modeling with Ontology-error-Prioritized Interactive Exploration for ARC-AGI-3

Courtis, D., Li, W., & Sanner, S. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

CITADEL: a post-quantum secure blockchain framework for privacy-preserving electronic health records with temporally-partitioned federated learning

Segar, N., & Vijayan, V. (2026) · Frontiers in Artificial Intelligence

Blockchain Technology Applications and SecurityPrivacy-Preserving Technologies in Data

Cited by 0

Writing-System-Level Tokenizer Adaptation for Byte-Level BPE

Didenko, B. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

TopoEvo: A Topology-Aware Self-Evolving Multi-Agent Framework for Root Cause Analysis in Microservices

Wang, J., Chen, R., Wang, Y., Liao, X., Fan, Z., Wu, X., Wu, W., Liu, X., & Zhao, J. (2026) · 2026 IEEE International Conference on Web Services (ICWS)

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 0

Multi-Field Tool Retrieval

Tang, Y., Su, W., Liu, Y., & Ai, Q. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

PICASO: Permutation-Invariant Context Composition with State Space Models

Liu, T. Y., Achille, A., Trager, M., Golatkar, A., Zancato, L., & Soatto, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Cache-to-Cache: Direct Semantic Communication Between Large Language Models

Fu, T., Min, Z., Zhang, H., Yan, J., Dai, G., Ouyang, W., & Wang, Y. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Permissive Information-Flow Analysis for Large Language Models

Siddiqui, S. A., Gaonkar, R., Köpf, B., Krueger, D., Paverd, A., Salem, A., Tople, S., Wutschitz, L., Xia, M., & Zanella-Béguelin, S. (2024) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Hippocampus: An Efficient and Scalable Memory Module for Agentic AI

Li, Y., Cao, L., Ahmed, F., Sharma, P., & Li, B. (2026) · arXiv

Algorithms and Data CompressionAdvanced Database Systems and Queries

Cited by 0

Unintended Misalignment from Agentic Fine-Tuning: Risks and Mitigation

Hahm, D., Min, T., Jin, W., & Lee, K. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

PoE-World: Compositional World Modeling with Products of Programmatic Experts

Piriyakulkij, W. T., Liang, Y., Tang, H., Weller, A., Kryven, M., & Ellis, K. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Distributed Adaptive Control for Constrained Nash Equilibrium Seeking With Delays

Kalyva, D., & Psillakis, H. E. (2026) · IEEE Control Systems Letters

Distributed Control Multi-Agent SystemsExtremum Seeking Control Systems

Cited by 0

Reinforcement Learning in Presence of Discrete Markovian Context Evolution

Ren, H., Sootla, A., Jafferjee, T., Shen, J., Wang, J., & Bou-Ammar, H. (2022) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 0

Learning to Remember: End-to-End Training of Memory Agents for Long-Context Reasoning

Zhang, K., Gui, S., Yang, S., Chen, W., & Feng, Y. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Rethinking Token Reduction with Parameter-Efficient Fine-Tuning in ViT for Pixel-Level Tasks

Lei, C., Li, A., Yao, H., Zhu, C., & Zhang, L. (2025) · 2025 IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

In Prospect and Retrospect: Reflective Memory Management for Long-term Personalized Dialogue Agents

Tan, Z., Yan, J., Hsu, I.-H., Han, R., Wang, Z., Le, L. T., Song, Y., Chen, Y., Palangi, H., Lee, G., et al. (2025) · arXiv

Speech and dialogue systemsAI in Service Interactions

Cited by 0

Artificial Intelligence Assisted Instructional Design Readiness Scale for Teacher Candidates: Development and Validation

Süral, S. (2025) · Education Quarterly Reviews

Artificial Intelligence in EducationEducation and Communication Studies

Cited by 0

Efficient Context Selection for Long-Context QA: No Tuning, No Iteration, Just Adaptive-k

Taguchi, C., Maekawa, S., & Bhutani, N. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Constraints Are Graphs, Not Chains: Exact Decoding for Diffusion Language Models

Su, J., & Zhang, W. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

The Emperor's New Clothes in Benchmarking? A Rigorous Examination of Mitigation Strategies for LLM Benchmark Data Contamination

Sun, Y., Wang, H., Li, D., Wang, G., & Zhang, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

SemShareKV: Efficient KVCache Sharing for Semantically Similar Prompts via Token-Level LSH Matching

Zhao, X., & Mastorakis, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Escher-Loop: Mutual Evolution by Closed-Loop Self-Referential Optimization

Liu, Z., Guo, X., Wei, X., Hao, H., & Yang, L. (2026) · arXiv

Evolutionary Algorithms and ApplicationsMetaheuristic Optimization Algorithms Research

Cited by 0

Explainable and Interpretable AI for Voice and Speech Analysis in Clinical Care: Systematic Review

Ebraheem, M., Toghranegar, J., Bridge2AI-Voice Consortium, Bensoussan, Y., & Templeton, J. M. (2026) · Journal of Medical Internet Research

Explainable Artificial Intelligence (XAI)Artificial Intelligence in Healthcare and Education

Cited by 0

Artificial Hippocampus Networks for Efficient Long-Context Modeling

Fang, Y., Yu, W., Zhong, S., Ye, Q., Xiong, X., & Wei, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0