Check computer science papers: citations, claims and retractions

On Using Secure Aggregation in Differentially Private Federated Learning with Multiple Local Steps

Heikkilä, M. A. (2024) · arXiv

Privacy-Preserving Technologies in DataCryptography and Data Security

Cited by 0

Agentic Memory Management Is the Next Frontier of Information Retrieval

Ai, Q. (2026) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 0

COLD: Causal reasOning in cLosed Daily activities

Joshi, A., Ahmad, A., & Modi, A. (2024) · arXiv

Context-Aware Activity Recognition SystemsLogic, Reasoning, and Knowledge

Cited by 0

Implicit Language Models are RNNs: Balancing Parallelization and Expressivity

Schöne, M., Rahmani, B., Kremer, H., Falck, F., Ballani, H., & Gladrow, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MLS-Bench: A Holistic and Rigorous Assessment of AI Systems on Building Better AI

Lyu, B., Yang, Y., Huang, S., Zhang, J., Xu, Q., Li, X., Han, X., Zhang, Y., Zhang, H., Huang, R., et al. (2026) · arXiv

Artificial Intelligence ApplicationsMachine Learning and Data Classification

Cited by 0

Scaling Agent Learning via Experience Synthesis

Chen, Z., Zhao, Z., Zhang, K., Liu, B., Qi, Q., Wu, Y., Kalluri, T., Cao, S., Xiong, Y., Tong, H., et al. (2025) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

The Energy Cost of Reasoning: Analyzing Energy Usage in LLMs with Test-time Compute

Jin, Y., Wei, G.-Y., & Brooks, D. (2025) · arXiv

Topic ModelingGreen IT and Sustainability

Cited by 0

Cognitive Friction in Clinical Decision Support: A Comparative Study of Judicial and Adjunct Human-AI Interaction Protocols

Pe, S., Bergomi, L., Nicora, G., Simonelli, C. A., Kour, P., Diaz, E., Alendal, G., Hernáiz Ferrer, A. I., Corso, V., Bortolotto, C., et al. (2026) · Machine Learning and Knowledge Extraction

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

Cited by 0

Continual Learning, Not Training: Online Adaptation For Agents

Jaglan, A., & Barnes, J. (2025) · arXiv

Domain Adaptation and Few-Shot LearningAI-based Problem Solving and Planning

Cited by 0

Option-Order Randomisation Reveals a Distributional Position Attractor in Prompted Sandbagging

Cacioli, J.-P. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Memory as Infrastructure: Reliability Engineering for Persistent Agent Memory in Months-Long LLM-Assisted Development

Helwig, M. (2026) · arXiv

Software Engineering ResearchSoftware System Performance and Reliability

Cited by 0

Smart Book Seeker: Agent-Augmented Retrieval System for Metadata-Sparse Libraries

Liu, H.-Q., & Fan, Y.-C. (2026) · Companion Proceedings of the ACM Web Conference 2026

Information Retrieval and Search BehaviorRecommender Systems and Techniques

Cited by 0

Fully-programmable universal quantum simulator with a one-dimensional quantum processor

Bastidas, V. M., Haug, T., Gravel, C., Kwek, L. C., Munro, W. J., & Nemoto, K. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 0

Ghost in the Agent: Redefining Information Flow Tracking for LLM Agents

Cai, Y., Tang, W., Wen, C., & Qin, S. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Research data governance activities for implementation in Malaysia research performing organizations: insights from data practitioners via Delphi study

Hazmi, N. R., Abrizah, A., & Idaya, A. M. K. Y. (2023) · Malaysian Journal of Library and Information Science

Research Data Management PracticesData Analysis and Archiving

Cited by 0

Development of Augmented Reality-Based Interactive Learning Environment for Enhancing Learning Outcomes of Fifth-Grade Students on Indonesian Cultural Diversity

Sari, N. W., & Aeni, K. (2025) · Jurnal Pendidikan Progresif

Multimedia Learning SystemsAugmented Reality Applications

Cited by 0

Reflective Prompt Optimization of a Deep-Research Agent: A Topic-Disjoint, Multi-Seed Protocol for Measuring Transferable Gains and Prompt-Level Overfitting

Lumer, E., Sen, S., Subbiah, V. K., & Paul, K. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

PolyKV: Shared Asymmetric TurboQuant-Compressed KV Memory for Multi-Agent LLMs

Patel, I., & Joshi, I. (2026) · Ishan Patel

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Hardware Acceleration for Neural Networks: A Comprehensive Survey

Xu, B., Banerjee, A., & Gupta, S. (2025) · arXiv

Parallel Computing and Optimization TechniquesAdvanced Neural Network Applications

Cited by 0

VASO: Formally Verifiable Self-Evolving Skills for Physical AI Agents

Yang, Y., Bhatt, N. P., Wang, K., Tetteh, S., Wang, Z., & Topcu, U. (2026) · arXiv

Formal Methods in VerificationAI-based Problem Solving and Planning

Cited by 0

Beyond the Context Window: A Cost-Performance Analysis of Fact-Based Memory vs. Long-Context LLMs for Persistent Agents

Pollertlam, N., & Kornsuwannawit, W. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Let Me Teach You: Pedagogical Foundations of Feedback for Language Models

Borges, B., Tandon, N., Käser, T., & Bosselut, A. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

LogReasoner: Empowering LLMs with Expert-like Coarse-to-Fine Reasoning for Automated Log Analysis

Ma, L., Li, Y., Yang, W., Zhou, M., Liu, X., Fei, B., Li, S., Sun, X., Jiang, S., & Xiao, Y. (2026) · ACM Transactions on Software Engineering and Methodology

Software System Performance and ReliabilitySoftware Engineering Research

Cited by 0

Prompt Injection 2.0: Hybrid AI Threats

McHugh, J., Šekrst, K., & Cefalu, J. (2025) · arXiv

Adversarial Robustness in Machine LearningWeb Application Security Vulnerabilities

Cited by 0