Check computer science papers: citations, claims and retractions

Unified Identity Authentication Scheme Based on UAF Protocol

Zhen, P., Wang, D., & Ji, C. (2019) · 2019 IEEE 19th International Conference on Communication Technology (ICCT)

Advanced Authentication Protocols SecurityUser Authentication and Security Systems

Cited by 1

Rock Segmentation, Matching and 3D Reconstruction Based on Stereo Vision

Gao, H., Li, B., Yu, Y., & Chen, L. (2010) · 2010 Third International Conference on Intelligent Networks and Intelligent Systems

Advanced Vision and ImagingRobotics and Sensor-Based Localization

Cited by 1

Because we have LLMs, we Can and Should Pursue Agentic Interpretability

Kim, B., Hewitt, J., Nanda, N., Fiedel, N., & Tafjord, O. (2025) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 1

Investigating Fairness Disparities in Peer Review: A Language Model Enhanced Approach

Zhang, J., Zhang, H., Deng, Z., & Roth, D. (2022) · arXiv

Ethics and Social Impacts of AIscientometrics and bibliometrics research

Cited by 1

A Deterministic Control Plane for LLM Coding Agents

Madatha, P. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

Leveraging Prior Experience: An Expandable Auxiliary Knowledge Base for Text-to-SQL

Chu, Z., Wang, Z., & Qin, Q. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

World Simulation with Video Foundation Models for Physical AI

NVIDIA, :, Ali, A., Bai, J., Bala, M., Balaji, Y., Blakeman, A., Cai, T., Cao, J., Cao, T., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1

Meta Context Engineering via Agentic Skill Evolution

Ye, H., He, X., Arak, V., Dong, H., & Song, G. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Building conversational artifacts to enable digital assistant for apis and rpas

Bandlamudi, J., Mukherjee, K., Agarwal, P., Chaudhuri, R., Pimplikar, R., Dechu, S., Straley, A., Ponniah, A., & Sindhgatta, R. (2024) · Proceedings of the AAAI Conference on Artificial Intelligence

Speech and dialogue systemsAI in Service Interactions

Cited by 1

Symbol tuning improves in-context learning in language models

Wei, J., Hou, L., Lampinen, A., Chen, X., Huang, D., Tay, Y., Chen, X., Lu, Y., Zhou, D., Ma, T., et al. (2023) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 1

Design and Implementation of Gamified Augmented Reality Learning System to Enhance Biodiversity Education

Yang, C.-Y., & Chao, W.-H. (2026) · 8th International Conference on Knowledge Innovation and Invention

Augmented Reality ApplicationsMultimedia Learning Systems

Cited by 1

Beyond Scaling Laws: Understanding Transformer Performance with Associative Memory

Niu, X., Bai, B., Deng, L., & Han, W. (2024) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 1

To Ban or Not to Ban? How Open Source Projects Govern GenAI Contributions

Yang, W., He, R., & Zhou, M. (2026) · Proceedings of the 41st IEEE/ACM International Conference on Automated Software Engineering

Open Source Software InnovationsSoftware Engineering Research

Cited by 1

Closed-form design of allpass fractional delay filters

Pei, S.-C., & Wang, P.-H. (2002) · IEEE International Conference on Acoustics Speech and Signal Processing

Digital Filter Design and ImplementationAdvanced Adaptive Filtering Techniques

Cited by 1

Eliminating the Variability of Cross-Validation Results with LIBLINEAR due to Randomization and Parallelization

Sukhoy, V., & Stoytchev, A. (2019) · Zenodo

Machine Learning and Data ClassificationStochastic Gradient Optimization Techniques

Cited by 1

SWIFT: On-the-Fly Self-Speculative Decoding for LLM Inference Acceleration

Xia, H., Li, Y., Zhang, J., Du, C., & Li, W. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

TRAVELER: A Benchmark for Evaluating Temporal Reasoning Across Vague, Implicit and Explicit References

Kenneweg, S., Deigmöller, J., Cimiano, P., & Eggert, J. (2026) · SN Computer Science

Topic ModelingNatural Language Processing Techniques

Cited by 1

AI-IOT Hydroponics and smart humans in the bush: There is more than one way to deal with AI

Till, S., Kadjengoq, S., Nkala, S., Mtalane, E., & Winschiers-Theophilus, H. (2025) · Proceedings of the Fifth Biennial African Human-Computer Interaction Conference

ICT in Developing CommunitiesSmart Agriculture and AI

Cited by 1

Metric Inversion in Generative AI Translation: Divergence Between Automated Evaluation Metrics and Human Expert Judgement in the LRM Era

Zhang, Y., & Zhang, Y. (2026) · Proceedings of the 3rd International Conference on Educational Digitalization and Computer Science in the Guangdong-Hong Kong-Macao Greater Bay Area

Natural Language Processing TechniquesTranslation Studies and Practices

Cited by 1

Constraint Decay: The Fragility of LLM Agents in Backend Code Generation

Dente, F., Satriani, D., & Papotti, P. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 1

A Robust Image Watermarking Scheme via Two-Stage Training and Differentiable JPEG Compression

Deng, H., Chen, F., Gan, P., Liao, R., & Yan, X. (2025) · Electronics

Advanced Steganography and Watermarking TechniquesAdvanced Data Compression Techniques

Cited by 1

Interface design and interaction optimization for spatial computing 3D content creation and immersive environment generation using Apple Vision Pro

Fu, J., Grierson, M., Jiang, R., Fu, S., He, M., & Xu, M. (2025) · Frontiers in Computer Science

Interactive and Immersive DisplaysDigital Media and Visual Art

Cited by 1

Comparative performance analysis of hardware and software AES encryption implementation in WSN

Vracar, L., & Stojanovic, M. (2025) · Facta universitatis - series: Electronics and Energetics

Cryptographic Implementations and SecuritySecurity in Wireless Sensor Networks

Cited by 1

Story2Board: A Training-Free Approach for Expressive Storyboard Generation

Dinkevich, D., Levy, M., Avrahami, O., Samuel, D., & Lischinski, D. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 1