Check computer science papers: citations, claims and retractions

A Novel Risk-Based Methodology for Enhancing Industrial Control Systems Security: A Systematic Review and Case Study

David Echeverría López, A., Amor Pinilla, M., & Carvajal Mora, H. R. (2025) · IEEE Access

Information and Cyber SecurityNetwork Security and Intrusion Detection

Cited by 1

A comprehensive benchmark and empirical study of trace anomaly detection

Sun, Y., Shao, M., Nie, X., Yang, K., Li, X., Hao, B., Zhang, S., Pei, C., He, D., Li, Y., et al. (2025) · IEEE Transactions on Services Computing

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 1

FLEXI: Benchmarking Full-duplex Human-LLM Speech Interaction

Ge, Y., Chen, S., Xiao, J., Liu, X., Xiao, T., Xiang, Y., Yu, Z., & Zhu, J. (2025) · arXiv

Speech and dialogue systemsSpeech Recognition and Synthesis

Cited by 1

Equilibrate RLHF: Towards Balancing Helpfulness-Safety Trade-off in Large Language Models

Tan, Y., Jiang, Y., Li, Y., Liu, J., Bu, X., Su, W., Yue, X., Zhu, X., & Zheng, B. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 1

Creating Multimedia Courseware For An Engineering Graphics Course

Jerz, R. (2020) · 2002 Annual Conference Proceedings

Educational Technology and E-LearningMultimedia Learning Systems

Cited by 1

Authenticated Delegation and Authorized AI Agents

South, T., Marro, S., Hardjono, T., Mahari, R., Whitney, C. D., Greenwood, D., Chan, A., & Pentland, A. (2025) · arXiv

Access Control and TrustUser Authentication and Security Systems

Cited by 1

The Mirage of Model Editing: Revisiting Evaluation in the Wild

Yang, W., Sun, F., Tan, J., Ma, X., Cao, Q., Yin, D., Shen, H., & Cheng, X. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

GAIA-2: A Controllable Multi-View Generative World Model for Autonomous Driving

Russell, L., Hu, A., Bertoni, L., Fedoseev, G., Shotton, J., Arani, E., & Corrado, G. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisAutonomous Vehicle Technology and Safety

Cited by 1

Developing Standardized Metadata Protocols Enabling Transparent Provenance Tracking for AI-Created Media Within Federal Intellectual Property Regulatory Systems Nationwide

(2025) · International Journal of Computer Applications Technology and Research

Law, AI, and Intellectual PropertyIntellectual Property Rights and Media

Cited by 1

Content Management System of Website-Group Based on ZSH Frame

Zhang, S., Dong, Y., Liu, B., & Gu, J. (2013) · Proceedings of the International Conference on Computer, Networks and Communication Engineering (ICCNCE 2013)

Web Applications and Data ManagementInformation Systems and Technology Applications

Cited by 1

EvoAgentX: An Automated Framework for Evolving Agentic Workflows

Wang, Y., Liu, S., Fang, J., & Meng, Z. (2025) · Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: System Demonstrations

Multi-Agent Systems and NegotiationEvolutionary Algorithms and Applications

Cited by 1

Usability of an Adaptive Toolbar in Selecting Functions

Lim, W.-S., Kim, J.-W., Yoon, J.-S., Jang, J.-H., & Han, S.-H. (2005) · Journal of the Ergonomics Society of Korea

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 1

Efficient Training-Free Online Routing for High-Volume Multi-LLM Serving

Wu, F., & Silwal, S. (2025) · arXiv

Topic ModelingRecommender Systems and Techniques

Cited by 1

Multi-Agent debate system based on large language models: structured deliberation and validation in satellite communications

Gómez Álvarez, S., Mozo Quesada, A., Navarro, T., Gálvez Rojas, S., & López Valverde, F. (2026) · Journal of Intelligent Information Systems

Multi-Agent Systems and NegotiationTopic Modeling

Cited by 1

Graph Contrastive Learning for Anomaly Detection

Chen, B., Zhang, J., Zhang, X., Dong, Y., Song, J., Zhang, P., Xu, K., Kharlamov, E., & Tang, J. (2021) · arXiv

Advanced Graph Neural NetworksAnomaly Detection Techniques and Applications

Cited by 1

Data-mining and Extraction: the gold rush of AI on Indigenous Languages

Junker, M.-O. (2024) · Proceedings of the Seventh Workshop on the Use of Computational Methods in the Study of Endangered Languages

Ethics and Social Impacts of AINatural Language Processing Techniques

Cited by 1

Source-Aware Training Enables Knowledge Attribution in Language Models

Khalifa, M., Wadden, D., Strubell, E., Lee, H., Wang, L., Beltagy, I., & Peng, H. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 1

STIV: Scalable Text and Image Conditioned Video Generation

Lin, Z., Liu, W., Chen, C., Lu, J., Hu, W., Fu, T.-J., Allardice, J., Lai, Z., Song, L., Zhang, B., et al. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1

Accumulating Context Changes the Beliefs of Language Models

Geng, J., Chen, H., Liu, R., Ribeiro, M. H., Willer, R., Neubig, G., & Griffiths, T. L. (2025) · arXiv

Ethics and Social Impacts of AITopic Modeling

Cited by 1

DeepResearchGym: A Free, Transparent, and Reproducible Evaluation Sandbox for Deep Research

Coelho, J., Ning, J., He, J., Mao, K., Paladugu, A., Setlur, P., Jin, J., Callan, J., Magalhães, J., Martins, B., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 1

From Static Templates to Dynamic Runtime Graphs: A Survey of Workflow Optimization for LLM Agents

Yue, L., Bhandari, K. R., Ko, C.-Y., Patel, D., Lin, S., Zhou, N., Gao, J., Chen, P.-Y., & Pan, S. (2026) · arXiv

AI-based Problem Solving and PlanningScientific Computing and Data Management

Cited by 1

Accelerating Retrieval-Augmented Language Model Serving with Speculation

Zhang, Z., Zhu, A., Yang, L., Xu, Y., Li, L., Phothilimthana, P. M., & Jia, Z. (2024) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Memory Poisoning Attack and Defense on Memory Based LLM-Agents

Sunil, B. D., Sinha, I., Maheshwari, P., Todmal, S., Mallik, S., & Mishra, S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

Chaotic Image Encryption by Intra-Channel Diffusion and Inter-Channel Confusion

Vargas Valencia, J. A., Arango, C. A. M., García, J. D., Guerra, R. U., & Gómez, L. F. D. (2026) · Journal of Cybersecurity and Privacy

Chaos-based Image/Signal EncryptionComputer Science and Engineering

Cited by 1