Check computer science papers: citations, claims and retractions

Towards Multimodal Lifelong Understanding: A Dataset and Agentic Baseline

Chen, G., Lu, L., Liu, Y., Dong, L., Zou, L., Lv, J., Li, Z., Mao, X., Pei, B., Wang, S., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

STAR-KV: Low-Rank KV Cache Compression via Soft Thresholding for Adaptive Rank Control

Bhatnagar, P., Moradifirouzabadi, A., Yang, S.-H., Lee, S., Choi, J., & Kang, M. (2026) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Debate or Vote: Which Yields Better Decisions in Multi-Agent Large Language Models?

Choi, H. K., Zhu, X., & Li, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Conversation for Non-verifiable Learning: Self-Evolving LLMs through Meta-Evaluation

Sui, Y., & Hooi, B. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Preconditioned Attention: Enhancing Efficiency in Transformers

Saratchandran, H. (2026) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Answer Engine Optimization: A Measurement Framework for Brand Visibility in Generative AI Search

Drake, E. (2026) · SSRN Electronic Journal

AI in Service InteractionsEthics and Social Impacts of AI

Cited by 0

CWM: An Open-Weights LLM for Research on Code Generation with World Models

FAIR CodeGen team, Copet, J., Carbonneaux, Q., Cohen, G., Gehring, J., Kahn, J., Kossen, J., Kreuk, F., McMilin, E., Meyer, M., et al. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

MTReD: 3D Reconstruction Dataset for Fly-over Videos of Maritime Domain

Yong, R. Y., Picosson, S., & Wiliem, A. (2025) · arXiv

Advanced Vision and Imaging3D Surveying and Cultural Heritage

Cited by 0

Reconfigurable Acceleration Paradigms for Deep Learning in Healthcare: A Comprehensive Review

N.Ramya, & S.Karthik (2025) · 2025 9th International Conference on Electronics, Communication and Aerospace Technology (ICECA)

Embedded Systems Design TechniquesAdvanced Neural Network Applications

Cited by 0

Are We Ready For An Agent-Native Memory System?

Zhou, W., Zhou, X., Han, S., Xu, H., Li, G., Li, Z., Xiong, F., & Wu, F. (2026) · arXiv

Topic ModelingAI-based Problem Solving and Planning

Cited by 0

CLI-Anything: Towards Agent-Native Computer Use

Yang, Y., Fan, T., & Huang, C. (2026) · arXiv

Artificial Intelligence ApplicationsUsability and User Interface Design

Cited by 0

Critic-Guided Heterogeneous Multi-Agent Reasoning for Reliable Mathematical Problem Solving

Sharif, M. T., & Rehman, A. (2026) · arXiv

Topic ModelingMathematics Education and Pedagogy

Cited by 0

Agents Robust to Distribution Shifts Learn Causal World Models Even Under Mediation

Ceriscioli, M., & Mohan, K. (2025) · Advances in Neural Information Processing Systems 38

Reinforcement Learning in RoboticsBayesian Modeling and Causal Inference

Cited by 0

CacheRoute: Planned Prefix-Affinity Routing for Large-Scale LLM Serving

Cheng, H. (2026) · arXiv

Parallel Computing and Optimization TechniquesCloud Computing and Resource Management

Cited by 0

Terms of Service: Coming to Terms with AI-Generated Art in the Classroom’

Garvey, G. P. (2025) · Athens Journal of Humanities & Arts

Artificial Intelligence in EducationArt Education and Development

Cited by 0

From Word to World: Can Large Language Models be Implicit Text-based World Models?

Li, Y., Wang, H., Qiu, J., Yin, Z., Zhang, D., Qian, C., Li, Z., Ma, P., Chen, G., & Ji, H. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Domyn-Small: A European 10B Reasoning Language Model

Angarano, S., Bertolotti, F., D'Ambrosio, F., Resta, M., Rognoni, A., Ruggeri, N., Salvati, D., Valenti, A., Veneri, A., & Cimmino, M. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

A systematic review of AI-based food and calorie detection systems in healthcare: Trends, techniques, and applications

Kumarasamy, G., Nguyen, M. V., Hettiarachchige, P., Ranasinghe, P., Thayasivam, U., & Alahakoon, D. (2026) · DIGITAL HEALTH

Advanced Neural Network ApplicationsInnovation in Digital Healthcare Systems

Cited by 0

Memory-augmented agent training for business document understanding

Liu, J., Zeng, Y., Højmark-Bertelsen, M., Gadeberg, M. N., Wang, H., & Wu, Q. (2024) · arXiv

Topic ModelingHandwritten Text Recognition Techniques

Cited by 0

TICKing All the Boxes: Generated Checklists Improve LLM Evaluation and Generation

Cook, J., Rocktäschel, T., Foerster, J., Aumiller, D., & Wang, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

The Digital Thread: Engineering Purpose, Limitation, and Consent in Disparate Cloud Ecosystems

Sali, P. C., & Patel, N. N. (2026) · Computer and Information Science

Cloud Data Security SolutionsBlockchain Technology Applications and Security

Cited by 0

Calibrated Confidence Estimation for Tabular Question Answering

Voss, L. (2026) · arXiv

Topic ModelingAdversarial Robustness in Machine Learning

Cited by 0

Agent0: Unleashing Self-Evolving Agents from Zero Data via Tool-Integrated Reasoning

Xia, P., Zeng, K., Liu, J., Qin, C., Wu, F., Zhou, Y., Xiong, C., & Yao, H. (2025) · arXiv

Evolutionary Algorithms and ApplicationsAI-based Problem Solving and Planning

Cited by 0

Securing the Web: Analysis of HTTP Security Headers in Popular Global Websites

Kishnani, U., & Das, S. (2024) · arXiv

Web Application Security VulnerabilitiesInformation and Cyber Security

Cited by 0