Check computer science papers: citations, claims and retractions

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

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

Identifying universal safety signs using computer vision for an assistive feedback mobile application

Mishra, A., Raj, N., Bodhe, S., & Bajwa, G. (2022) · 2022 IEEE 23rd International Conference on Information Reuse and Integration for Data Science (IRI)

Advanced Neural Network ApplicationsAssistive Technology in Communication and Mobility

Cited by 1

Self-Cognition in Large Language Models: An Exploratory Study

Chen, D., Shi, J., Wan, Y., Zhou, P., Gong, N. Z., & Sun, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Cost-Efficient Large Language Model Serving for Multi-turn Conversations with CachedAttention

Gao, B., He, Z., Sharma, P., Kang, Q., Jevdjic, D., Deng, J., Yang, X., Yu, Z., & Zuo, P. (2024) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 1

COMODO: Cross-Modal Video-to-IMU Distillation for Efficient Egocentric Human Activity Recognition

Chen, B., Wongso, W., Li, Z., Khaokaew, Y., Xue, H., & Salim, F. D. (2026) · Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 1

No Free Labels: Limitations of LLM-as-a-Judge Without Human Grounding

Krumdick, M., Lovering, C., Reddy, V., Ebner, S., & Tanner, C. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

MARCH: Multi-Agent Radiology Clinical Hierarchy for CT Report Generation

Lin, Y., Ding, Y., Wu, Y., & Peng, Y. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)

Multimodal Machine Learning ApplicationsArtificial Intelligence in Healthcare and Education

Cited by 1

Alita: Generalist Agent Enabling Scalable Agentic Reasoning with Minimal Predefinition and Maximal Self-Evolution

Qiu, J., Qi, X., Zhang, T., Juan, X., Guo, J., Lu, Y., Wang, Y., Yao, Z., Ren, Q., Jiang, X., et al. (2025) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 1

BenNumEval: A Benchmark to Assess LLMs’ Numerical Reasoning Capabilities in Bengali

Ahmed, K., Osama, M., Sharif, O., Hossain, E., & Hoque, M. M. (2025) · Findings of the Association for Computational Linguistics: ACL 2025

Topic ModelingNatural Language Processing Techniques

Cited by 1

ReportBench: Evaluating Deep Research Agents via Academic Survey Tasks

Li, M., Zeng, Y., Cheng, Z., Ma, C., & Jia, K. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 1

Mobile Makerspace Carts: A Practical Model to Transcend Access and Space

Smith, S. (2017) · Advances in Mobile and Distance Learning

Teaching and Learning ProgrammingBiomedical and Engineering Education

Cited by 1

Efficient inverted index with n-gram sampling for string matching in Arabic documents

Nagoudi, E. M. B., Khorsi, A., & Cherroun, H. (2016) · 2016 IEEE/ACS 13th International Conference of Computer Systems and Applications (AICCSA)

Algorithms and Data CompressionInformation Retrieval and Search Behavior

Cited by 1

Nested Learning: The Illusion of Deep Learning Architectures

Behrouz, A., Razaviyayn, M., Zhong, P., & Mirrokni, V. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 1