Check computer science papers: citations, claims and retractions

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

An FMEA-Based Framework for Operational Technology Security Risk Prioritization in Manufacturing

Nugraha, A. A. (2026) · Jurnal Rekayasa Industri (JRI)

Information and Cyber SecurityRisk and Safety Analysis

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

Anomaly Detection in Spacecraft Telemetry Using Vision Transformer and Caps-LSTM

Rajesh, S., Jarin, T., Emin Thomas, C., & Jaison, J. (2025) · 2025 Advanced Computing and Communication Technologies for High Performance Applications (ACCTHPA)

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 0

CONCUR: High-Throughput Agentic Batch Inference of LLM via Congestion-Based Concurrency Control

Chen, Q., Ye, Z., Tang, T., Sun, P., Tian, B., Wang, G., Li, S., Wen, Y., Han, Z., & Zhang, T. (2026) · arXiv

Parallel Computing and Optimization TechniquesSoftware System Performance and Reliability

Cited by 0

Do LLM Agents Need Tool Schemas in Every Session? Cache-Aware Tool Use in Multi-Tenant LLM Systems

Sarkar, P. (2026) · Zenodo

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0

Measuring Uncertainty through Bayesian Learning of Deep Neural Network Structure

Deng, Z., Luo, Y., Zhu, J., & Zhang, B. (2019) · arXiv

Gaussian Processes and Bayesian InferenceAdversarial Robustness in Machine Learning

Cited by 0

Self-Improvement of Large Language Models: A Technical Overview and Future Outlook

Yang, H., Xerri, M., Park, S., Zhang, H., Feng, Y., Kogilathota, S. A., & Zhou, J. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Beyond Token Eviction: Mixed-Dimension Budget Allocation for Efficient KV Cache Compression

Miao, R., Wang, Z., Li, W., Wu, S., Liu, S., Jiang, Y., & Yang, T. (2026) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

ZeroGUI: Automating Online GUI Learning at Zero Human Cost

Yang, C., Su, S., Liu, S., Dong, X., Yu, Y., Su, W., Wang, X., Liu, Z., Zhu, J., Li, H., et al. (2025) · arXiv

Software Testing and Debugging TechniquesUsability and User Interface Design

Cited by 0

BinaryViT: Towards Efficient and Accurate Binary Vision Transformers

Xiao, J., Li, Z., Yang, L., & Gu, Q. (2023) · arXiv

Advanced Neural Network ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

Unveiling the Achilles' Heel of NLG Evaluators: A Unified Adversarial Framework Driven by Large Language Models

Chen, Y., Zhang, C., Luo, D., D'Haro, L. F., Tan, R. T., & Li, H. (2024) · arXiv

Adversarial Robustness in Machine LearningNatural Language Processing Techniques

Cited by 0

Governing Dynamic Capabilities: Cryptographic Binding and Reproducibility Verification for AI Agent Tool Use

Zhou, Z. (2026) · arXiv

Cryptography and Data SecurityAccess Control and Trust

Cited by 0

NeuroProlog: Multi-Task Fine-Tuning for Neurosymbolic Mathematical Reasoning via the Cocktail Effect

Zunjare, P., & Hsiao, M. (2026) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 0

Quantization Hurts Reasoning? An Empirical Study on Quantized Reasoning Models

Liu, R., Sun, Y., Zhang, M., Bai, H., Yu, X., Yu, T., Yuan, C., & Hou, L. (2025) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

RSIGym: A Flexible Environment for Recursive Self-Improvement

Meng, F., Du, L., Lu, H., Chen, Q., Zhao, Z., Wu, Z., Zhuo, J., Hu, M., & Shieh, M. Q. (2026) · arXiv

Artificial Intelligence ApplicationsSoftware Engineering Research

Cited by 0

Cordon: Semantic Transactions for Tool-Using LLM Agents

Chen, Z., Liu, H., Xu, D., Dong, D., Li, J., Pu, B., & Zhai, J. (2026) · arXiv

Distributed systems and fault toleranceAdversarial Robustness in Machine Learning

Cited by 0

Does Co-Development with AI Assistants Lead to More Maintainable Code? Replication Package

Experts, E., Markus, B., & Couderc, N. (2025) · Zenodo

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

CacheGen: KV Cache Compression and Streaming for Fast Large Language Model Serving

Liu, Y., Li, H., Cheng, Y., Ray, S., Huang, Y., Zhang, Q., Du, K., Yao, J., Lu, S., Ananthanarayanan, G., et al. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Conformal Lesion Segmentation for 3D Medical Images

Tan, B., Wang, Z., Duan, J., Xu, K., Shen, H. T., Shi, X., & Shen, F. (2025) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 0

Dynamics-Aligned Latent Imagination in Contextual World Models for Zero-Shot Generalization

Röder, F., Benad, J., Eppe, M., & Banerjee, P. (2025) · Advances in Neural Information Processing Systems 38

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0