Check computer science papers: citations, claims and retractions

AI Based Surveillance System

Maheshwari, K. K., Hajano, S., Baloch, S., Zafar, Z., & Fatima, T. (2025) · 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC)

Video Surveillance and Tracking MethodsFace recognition and analysis

Cited by 0

Decentralized Self-Verifiable Cryptographic Image Provenance in Social Internet of Things

Akram, J., Akram, A., & Anaissi, A. (2026) · Future Internet

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 0

CharacterMixer: Rig-Aware Interpolation of 3D Characters

Zhan, X., Fu, R., & Ritchie, D. (2024) · Computer Graphics Forum

3D Shape Modeling and AnalysisHuman Motion and Animation

Cited by 0

Detecting Data Contamination in Code Generation Benchmarks via DiffMIA

Yamashita, K. (2025) · 2025 32nd Asia-Pacific Software Engineering Conference (APSEC)

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 0

An Empirical Study of Autoregressive Pre-Training from Videos

Rajasegaran, J., Radosavovic, I., Ravishankar, R., Gandelsman, Y., Feichtenhofer, C., & Malik, J. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

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A Map–Summarize Framework for Answer Set Verbalization

Alviano, M., Capalbo, M., & Piccolo, S. A. (2026) · Proceedings of the TwentyThird International Conference on Principles of Knowledge Representation and Reasoning

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 0

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models

Seo, S., Han, D., Noh, S., & Kang, H. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

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LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity

Wang, Y., Jin, S., Ning, Y., Liang, X., Luo, H., Zhang, J., He, Y., Wu, W., & Clarenceai (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Coding Agents are Effective Long-Context Processors

Cao, W., Yin, X., Dhingra, B., & Zhou, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

What Makes In-Context Examples Effective for Code Generation?

Li, D., Chen, S., Cao, J., & Cheung, S.-C. (2026) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchTeaching and Learning Programming

Cited by 0

Mem-T: Densifying Rewards for Long-Horizon Memory Agents

Yue, Y., Peng, B., Fan, X., Guo, J., Li, Q., & Zhang, Y. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

Dutta, S., Singh, J., Chakrabarti, S., & Chakraborty, T. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 0

Paraphrasing Adversarial Attack on LLM-as-a-Reviewer

Kaneko, M. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

News Source Citing Patterns in AI Search Systems

Yang, K.-C. (2025) · arXiv

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 0

OverThink: Slowdown Attacks on Reasoning LLMs

Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

EHR-RAG: Bridging Long-Horizon Structured Electronic Health Records and Large Language Models via Enhanced Retrieval-Augmented Generation

Cao, L., Chen, Q., & Guo, Y. (2026) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare and Education

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Laughing Matters: Introducing Laughing-Face Generation using Diffusion Models

Casademunt, A. B., Mira, R., Drobyshev, N., Vougioukas, K., Petridis, S., & Pantic, M. (2023) · arXiv

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 0

Back to Point: Exploring Point-Language Models for Zero-Shot 3D Anomaly Detection

Li, K., Li, G., Zhou, M., Li, M., Han, D., & Wan, J. (2026) · arXiv

3D Shape Modeling and AnalysisAnomaly Detection Techniques and Applications

Cited by 0

Making the Telemetry Pipeline Measurable: An Edge IoT Testbed and Dataset for End-to-End Latency, Provenance, and Energy-Aware Benchmarking

Gkoulis, D. (2026) · arXiv

IoT and Edge/Fog ComputingEnergy Efficient Wireless Sensor Networks

Cited by 0

PWM: Policy learning with multi-task world models

Georgiev, I., Giridhar, V., Hansen, N., & Garg, A. (2024) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

Democratizing Data Analysis: Can Generative AI Tools Enable Non-STEM Students to Complete Complex Coding Tasks with Minimal Training?

Mamirov, A., Park, L., & Palmer, D. (2025)

Teaching and Learning ProgrammingComputational and Text Analysis Methods

Cited by 0

WorldMM: Dynamic Multimodal Memory Agent for Long Video Reasoning

Yeo, W., Kim, K., Yoon, J., & Hwang, S. J. (2025) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 0

Privacy Versus Personalization: Evaluating the Ethical Implications of Artificial Intelligence Chatbots in Nigerian Academic Libraries

Igboechesi, G. P., & Adigun, T. A. (2026) · International Journal of Library and Information Science Studies

Ethics and Social Impacts of AIPrivacy, Security, and Data Protection

Cited by 0

Long-Horizon-Terminal-Bench: Testing the Limits of Agents on Long-Horizon Terminal Tasks with Dense Reward-Based Grading

Li, Z., Li, Z., Shi, Y., Wang, R., Yang, J., Liu, Z., Wu, X., Li, A., Huang, C., Shang, E., et al. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0