Check computer science papers: citations, claims and retractions

Repeated post-training is not Self-improving: Diagnosing Scientific Amnesia in Continual DPO Pipelines

Lin, J., Wang, F., Li, X., Golani, R., & Chheda, J. (2026) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

CacheSolidarity: Preventing Prefix Caching Side Channels in Multi-Tenant LLM Serving Systems

Pennas, P. G., Papaioannou, K., Guarnieri, M., & Doudali, T. D. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Cryptanalysis and design for a family of plaintext-non-delayed chaotic ciphers

Wang, Q., & Yu, S. (2025) · arXiv

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

Beyond unstructured use: scaffolded integration of generative AI in assessment for learning

Cochrane, D., Littschwager, S., Tsang, E., & Jin, Y. (2026) · Cogent Education

Artificial Intelligence in EducationStudent Assessment and Feedback

Cited by 0

Dimension-Reduction Attack! Video Generative Models are Experts on Controllable Image Synthesis

Cao, H., Feng, Y., Gong, B., Tian, Y., Lu, Y., Liu, C., & Wang, B. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

From Standalone LLMs to Integrated Intelligence: A Survey of Compound Al Systems

Chen, J., Ye, J., & Wang, G. (2025) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

Expected Free Energy as Belief-Dependent Utility for rho-POMDPs

Cooper, P., & Velasquez, A. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

AI-Assisted Classroom Interaction Analysis for Enhancing Teaching Effectiveness in Higher Education

Wang, Y. (2026) · Proceedings of the 2026 International Conference on Artificial Intelligence, Digital Media and Education

Educational Technology and PedagogyEvaluation of Teaching Practices

Cited by 0

Le numérique et l’intelligence artificielle au service de l’apprentissage de la langue française dans les écoles primaires pionnières au Maroc : enjeux, avantages et défis

EL ALAOUI, N., & EL KINANI, F. (2025) · Mouvances Francophones

Artificial Intelligence in EducationFrench Language Learning Methods

Cited by 0

Curvature-Corrected Rotary Position Embeddings: An Entropy-Invariant Temperature for Mitigating Numerical-Rank Collapse in Long-Context Attention

Mtetwa, J. T., Ogudo, K. A., & Pudaruth, S. (2026) · Mathematics

Topic ModelingMatrix Theory and Algorithms

Cited by 0

NP-Completeness for the Space-Optimality of Double-Array Tries

Bannai, H., Goto, K., Kanda, S., & Köppl, D. (2024) · arXiv

Algorithms and Data Compressionsemigroups and automata theory

Cited by 0

Adoption and Integration of Artificial Intelligence in Foreign Language Teaching: Multi-Institutional Analysis of Higher Education

Karadağ, E., Calışkan, N., Çiftçi, Ş. S., & Polat, M. (2026) · Journal of Narrative and Language Studies

Artificial Intelligence in EducationEFL/ESL Teaching and Learning

Cited by 0

Enhancing LLM Planning Capabilities through Intrinsic Self-Critique

Bohnet, B., Kamienny, P.-A., Sedghi, H., Gorur, D., Awasthi, P., Parisi, A., Swersky, K., Liu, R., Nova, A., & Fiedel, N. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence in Games

Cited by 0

Beyond Tool Adoption: A Practical Five-Stage Developmental Continuum for AI Literacy in Higher Education

Liu, J. P., & Levy, R. (2026) · arXiv

Digital literacy in educationArtificial Intelligence in Education

Cited by 0

From Vulnerable to Resilient: Examining Parent and Teen Perceptions on How to Respond to Unwanted Cybergrooming Advances

Zhang, X., Akter, M., An, H., Liu, M., Zhang, Q., Huang, L., Cho, J.-H., J. Wisniewski, P., & Lee, S. W. (2026) · Proceedings of the 2026 CHI Conference on Human Factors in Computing Systems

Cybercrime and Law Enforcement StudiesSexual Assault and Victimization Studies

Cited by 0

Optimized Certainty Equivalent Risk-Controlling Prediction Sets

Huang, J., Farzaneh, A., & Simeone, O. (2026) · arXiv

Adversarial Robustness in Machine LearningRisk and Portfolio Optimization

Cited by 0

Are Aligned Large Language Models Still Misaligned?

Naseem, U., Kashyap, G. S., Ali, R., Shabbir, E., Ray, S. K., Mohammad, A., & Seth, A. (2026) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 0

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

Liu, S., Zhu, J., Shu, L., Lin, J., Chen, Y., Zhang, H., Zhang, C., Xu, D., Li, J., Tang, B., et al. (2026) · arXiv

Speech and dialogue systemsRecommender Systems and Techniques

Cited by 0

Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation

Brümann, K., Yamaoka, K., Ono, N., & Doclo, S. (2025) · 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 0

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

Yang, M., Piao, J., Xia, X., Lan, X., Chen, J., Gong, Y., & Li, Y. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window

Tang, Q., Xiang, H., Yu, L., Yu, B., Lu, Y., Han, X., Sun, L., Zhang, W., Wang, P., Liu, S., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

MegaMath: Pushing the Limits of Open Math Corpora

Zhou, F., Wang, Z., Ranjan, N., Cheng, Z., Tang, L., He, G., Liu, Z., & Xing, E. P. (2025) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 0

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

Liu, S., Zhuge, M., Zhao, C., Chen, J., Wu, L., Liu, Z., Zhu, C., Cai, Z., Zhou, C., Liu, H., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 0

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Yang, Y., Yi, E., Ko, J., Lee, K., Jin, Z., & Yun, S.-Y. (2025) · arXiv

Multi-Agent Systems and NegotiationAdversarial Robustness in Machine Learning

Cited by 0