Check computer science papers: citations, claims and retractions

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Zheng, X., Pang, T., Du, C., Liu, Q., Jiang, J., & Lin, M. (2024) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

AgentRM: An OS-Inspired Resource Manager for LLM Agent Systems

She, J. (2026) · arXiv

Software System Performance and ReliabilityCloud Computing and Resource Management

Cited by 0

AI Literacy: Evaluation of an AI Literacy Course for Engineers

Benites, F., & Battegay, C. (2025) · 2025 IEEE Global Engineering Education Conference (EDUCON)

Teaching and Learning ProgrammingEthics and Social Impacts of AI

Cited by 0

Nonmalleable Information Flow: Technical Report

Cecchetti, E., Myers, A. C., & Arden, O. (2017) · arXiv

Security and Verification in ComputingLogic, programming, and type systems

Cited by 0

AI-Enabled Low-Power IoT for Child Safety in Schools: A Legal-Technical Framework for Sustainable Protection

Mallick, N., Nanda, H., Sahu, S., Pattnayak, P., Mohanty, A., & Das, T. (2026) · 2026 IEEE International Conference on Interdisciplinary Approaches in Technology and Management for Social Innovation (IATMSI)

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 0

Impact of the Availability of ChatGPT on Software Development: A Synthetic Difference in Differences Estimation using GitHub Data

Quispe, A., & Grijalba, R. (2024) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

HeLa-Mem: Hebbian Learning and Associative Memory for LLM Agents

Zhu, J., Li, J., Zhang, C., Liu, J., & Yang, M. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

Generative AI-Enhanced Oral Exams in Economics Education

Onodipe, G., Ayadi, M. F., & Burke, K. (2026) · Journal of Economics Teaching

Artificial Intelligence in EducationAcademic integrity and plagiarism

Cited by 0

AI-Driven IoT Architecture Using Electric Vehicles for Emergency Healthcare Monitoring and Response

Srivastava, P., Bajaj, M., & Güven, A. F. (2026) · SoutheastCon 2026

IoT and Edge/Fog ComputingInternet of Things and AI

Cited by 0

Sora and V-JEPA Have Not Learned The Complete Real World Model - A Philosophical Analysis of Video AIs Through the Theory of Productive Imagination

Zhang, J. (2024) · arXiv

Psychiatry, Mental Health, NeurosciencePhilosophy and Theoretical Science

Cited by 0

Lost in the Folds: When Cross-Validation Is Not a Deep Ensemble for Uncertainty Estimation

Kirscher, T., Bujotzek, M., Kirchhoff, Y., Rokuss, M., Isensee, F., Kahl, K.-C., Kovacs, B., & Maier-Hein, K. (2026) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 0

RRSI: Regularized Recursive Self-Improvement of Agent Harnesses

Xia, P., Han, R., Wang, Z., Chen, Y., Zhuang, Y., Lee, Y., Huang, C., Yu, H., CuiZhu, Z., Ming, Y., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0

RelayCaching: Accelerating LLM Collaboration via Decoding KV Cache Reuse

Geng, Y., Gao, Y., Wu, W., Liu, G., & Liu, J. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

ATM: CID-Brokered Pre-Write Admission for Multi-Agent Code Co-Synthesis

Huang, E. (2026) · arXiv

Software Engineering Techniques and PracticesDistributed systems and fault tolerance

Cited by 0

Structured Preference Optimization for Vision-Language Long-Horizon Task Planning

Liang, X., Lin, M., Ruan, W., Xu, R., Liu, Y., Chen, J., Lin, B., Zhuang, Y., & Liang, X. (2025) · arXiv

Multimodal Machine Learning ApplicationsRobot Manipulation and Learning

Cited by 0

Verifying Intent and Harm: A Unified Defense Against LLM-Generated Threats

Thota, P., Lei, Y., Thangaraj, S., Jonnalagadda, S. R., & Nilizadeh, S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Convomem Benchmark: Why Your First 150 Conversations Don't Need RAG

Pakhomov, E., Nijkamp, E., & Xiong, C. (2025) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

MemGovern: Enhancing Code Agents through Learning from Governed Human Experiences

Wang, Q., Cheng, Z., Zhang, S., Liu, F., Xu, R., Lian, H., Wang, K., Yu, X., Yin, J., Hu, S., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

When Does Restricting a Coding Agent to execute_code Help? A Regime $\times$ Agent-Design Ablation

Yang, H., Yu, Q., & Desell, T. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

In-Context Prompting Obsoletes Agent Orchestration for Procedural Tasks

Dennis, S., Diamond, M., Patil, R., Shabahang, K., & Guo, H. (2026) · arXiv

Speech and dialogue systemsArtificial Intelligence Applications

Cited by 0

Cartridges: Lightweight and general-purpose long context representations via self-study

Eyuboglu, S., Ehrlich, R., Arora, S., Guha, N., Zinsley, D., Liu, E., Tennien, W., Rudra, A., Zou, J., Mirhoseini, A., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Self-Verified Distillation: Your Language Model Is Secretly Its Own Synthetic Data Pipeline

Lee, T., & Liang, P. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Training Language Models to Use Prolog as a Tool

Mellgren, N., Schneider-Kamp, P., & Poech, L. G. (2025) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Search-Time Contamination in Deep Research Agents: Measuring Performance Inflation in Public Benchmark Evaluation

Wang, Y., Zhang, X., Yao, K., Zeng, Z., Song, K., Lin, J., & Shen, Z. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0