Check computer science papers: citations, claims and retractions

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

Really Useful Knowledge in a Postdigital Age

Jandrić, P. (2023) · Building the Post-Pandemic University

Digital Education and SocietyCritical and Liberation Pedagogy

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

MemSkill: Learning and Evolving Memory Skills for Self-Evolving Agents

Zhang, H., Long, Q., Bao, J., Feng, T., Zhang, W., Yue, H., & Wang, W. (2026) · arXiv

AI-based Problem Solving and PlanningSpeech and dialogue systems

Cited by 0

Hollow-LLM Attack: Computationally Trivial Weights in Zero-Knowledge Verification of LLM Inference

Gong, C., Liu, B., & Li, M. (2026) · 2026 IEEE Symposium on Security and Privacy (SP)

Cryptography and Data SecuritySecurity and Verification in Computing

Cited by 0

Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay

Iyamu, N. (2026) · arXiv

Information Retrieval and Search BehaviorArtificial Intelligence Applications

Cited by 0

Membox: Weaving Topic Continuity into Long-Range Memory for LLM Agents

Tao, D., Ma, G., Huang, Y., & Jiang, M. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

On inter-dataset code duplication and data leakage in large language models

Hernández López, J. A. (2024) · Zenodo

Software Engineering ResearchTopic Modeling

Cited by 0