Check computer science papers: citations, claims and retractions

“Application of machine learning to curriculum design analysis,”

Rawatlal, R. (2017) · 2017 Computing Conference

Online Learning and AnalyticsEngineering Education and Curriculum Development

Cited by 1

Harness^2: Recursive Agent Harnessing for an Open World

Xu, R., Chen, Y., CuiZhu, Z., Mishra, B. D., Ming, Y., Yu, H., Han, R., Lee, C.-Y., & Pfister, T. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 1

PhiNets: a scalable backbone for low-power AI at the edge

Paissan, F., Ancilotto, A., & Farella, E. (2021) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 1

LiveCodeBench Pro: How Do Olympiad Medalists Judge LLMs in Competitive Programming?

Zheng, Z., Cheng, Z., Shen, Z., Zhou, S., Liu, K., He, H., Li, D., Wei, S., Hao, H., Yao, J., et al. (2025) · arXiv

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 1

"Humans welcome to observe": A First Look at the Agent Social Network Moltbook

Jiang, Y., Zhang, Y., Shen, X., Backes, M., & Zhang, Y. (2026) · arXiv

Hate Speech and Cyberbullying DetectionEthics and Social Impacts of AI

Cited by 1

Converging multi-modality datasets to build efficient drug repositioning pipelines against Alzheimer’s disease and related dementias

Yin, Z., & Wong, S. T. C. (2022) · Medical Review

Computational Drug Discovery MethodsAlzheimer's disease research and treatments

Cited by 1

ReGAL: Refactoring Programs to Discover Generalizable Abstractions

Stengel-Eskin, E., Prasad, A., & Bansal, M. (2024) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 1

Research on Simple Power Consumption Based on AES Algorithm

Zhang, C., Jia, Y., Zhu, L., & Zhang, Z. (2023) · 2023 IEEE 2nd International Conference on Electrical Engineering, Big Data and Algorithms (EEBDA)

Cryptographic Implementations and SecurityCryptography and Residue Arithmetic

Cited by 1

JBShield: Defending Large Language Models from Jailbreak Attacks through Activated Concept Analysis and Manipulation

Zhang, S., Zhai, Y., Guo, K., Hu, H., Guo, S., Fang, Z., Zhao, L., Shen, C., Wang, C., & Wang, Q. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

Towards Generalization in Deepfake Detection

Verdoliva, L. (2022) · Proceedings of the 1st International Workshop on Multimedia AI against Disinformation

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 1

Post-Quantum Key Encapsulation Mechanisms: A Comparative Review of ML-KEM, BIKE, and HQC

Reazaei, P., Rashid, A. S. K., Mand, A. A., & Saberikamarposhti, M. (2026) · 2026 22nd IEEE International Colloquium on Signal Processing & Its Applications (CSPA)

Cryptography and Data SecurityCryptography and Residue Arithmetic

Cited by 1

A machine learning approach using autoencoders to perform quality control on meteorological data

Spohn, T. K., Walsh, E., Horan, K., O’Donoghue, J., Charnecki, T., Haslam, M., & Gallagher, S. (2026) · Environmental Data Science

Anomaly Detection Techniques and ApplicationsFault Detection and Control Systems

Cited by 1

Tourism and travel content analysis for market segmentation using toxicity and sentiment classification in communalytic

Singgalen, Y. A. (2024) · Building of Informatics, Technology and Science (BITS)

Sentiment Analysis and Opinion MiningDigital Marketing and Social Media

Cited by 1

Agentic AI Meets Data Engineering: Toward Self-Directed, Interpretable, and Balanced Pipelines

Peddisetti, S. (2025) · The International Journal of Computational Mathematical Ideas

Explainable Artificial Intelligence (XAI)Machine Learning and Data Classification

Cited by 1

ShadowKV: KV Cache in Shadows for High-Throughput Long-Context LLM Inference

Sun, H., Chang, L.-W., Bao, W., Zheng, S., Zheng, N., Liu, X., Dong, H., Chi, Y., & Chen, B. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

Algorithmic Error Mitigation Scheme for Current Quantum Processors

Suchsland, P., Tacchino, F., Fischer, M. H., Neupert, T., Barkoutsos, P. K., & Tavernelli, I. (2020) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum many-body systems

Cited by 1

Meta-Chunking: Learning Text Segmentation and Semantic Completion via Logical Perception

Zhao, J., Ji, Z., Feng, Y., Qi, P., Niu, S., Tang, B., Xiong, F., & Li, Z. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Advances in DevSecOps and the Future of Cybersecurity using Automation

Pranav, M., Madhesh, I., Lenin, J., & Sasikumar, R. (2025) · Proceedings of the 4th International Conference on Information Technology, Civil Innovation, Science, and Management, ICITSM 2025, 28-29 April 2025, Tiruchengode, Tamil Nadu, India, Part I

Software Engineering Techniques and PracticesWeb Application Security Vulnerabilities

Cited by 1

$τ^2$-Bench: Evaluating Conversational Agents in a Dual-Control Environment

Barres, V., Dong, H., Ray, S., Si, X., & Narasimhan, K. (2025) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 1

Multi-Disciplinary Dataset Discovery from Citation-Verified Literature Contexts

Tan, Z., & Duan, C. (2025) · 2025 ACM/IEEE Joint Conference on Digital Libraries (JCDL)

Research Data Management Practicesscientometrics and bibliometrics research

Cited by 1

Diversity of Thought Elicits Stronger Reasoning Capabilities in Multi-Agent Debate Frameworks

University of Montreal, M. Q. A. I., & Hegazy, M. (2024) · Journal of Robotics and Automation Research

Topic ModelingNatural Language Processing Techniques

Cited by 1

Constrained Adaptive Rejection Sampling

Parys, P., Vaidya, S., Berg-Kirkpatrick, T., & D'Antoni, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Machine Learning Approaches for Speech Forensics

Yadav, A. K. S. (2024) · Purdue University Graduate School

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 1

Novice Developers' Perspectives on Adopting LLMs for Software Development: A Systematic Literature Review

Ferino, S., Hoda, R., Grundy, J., & Treude, C. (2025) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1