Check computer science papers: citations, claims and retractions

Designing a Promotional Media Website for Pottery Products Using the Waterfall Method

Madani, M., & Haryono, H. (2024) · Jurnal Bumigora Information Technology (BITe)

Usability and User Interface DesignSMEs Development and Digital Marketing

Cited by 0

Correct Code, Broken Contributions? SWE-CC: Benchmarking Repository Policy Compliance for Coding Agents

Truong, H. D., Goh, R., Le-Cong, T., & Huo, Y. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Auditing Games for Sandbagging

Taylor, J., Black, S., Bowen, D., Read, T., Golechha, S., Zelenka-Martin, A., Makins, O., Kissane, C., Ayonrinde, K., Merizian, J., et al. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Top-$nσ$: Not All Logits Are You Need

Tang, C., Liu, J., Xu, H., & Huang, L. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ZeroBench: An Impossible Visual Benchmark for Contemporary Large Multimodal Models

Roberts, J., Taesiri, M. R., Sharma, A., Gupta, A., Roberts, S., Croitoru, I., Bogolin, S.-V., Tang, J., Langer, F., Raina, V., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

Tracing and Mitigating Hallucinations in Multimodal LLMs via Dynamic Attention Localization

Yang, T., Zhang, L., Lin, J., Hu, G., Wang, D., & Hu, L. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

Bi-Mem: Bidirectional Construction of Hierarchical Memory for Personalized LLMs via Inductive-Reflective Agents

Mao, W., Tan, H., Liu, S., Liu, H., Xu, Y., Ji, H., & Wang, X. (2026) · arXiv

Speech and dialogue systemsTopic Modeling

Cited by 0

Generic multiple object tracking

Luo, W. (2015) · Imperial College London

Video Surveillance and Tracking MethodsAutonomous Vehicle Technology and Safety

Cited by 0

Signal and Noise: A Framework for Reducing Uncertainty in Language Model Evaluation

Heineman, D., Hofmann, V., Magnusson, I., Gu, Y., Smith, N. A., Hajishirzi, H., Lo, K., & Dodge, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

ANCHOR: An External LLM-Driven Supervisory Module Facilitating Healthy Evolution in Self-Evolving Systems

Shi, D., Wang, B., He, J., Chen, J., & Nakashima, Y. (2026) · arXiv

Evolutionary Algorithms and ApplicationsAdversarial Robustness in Machine Learning

Cited by 0

SwarmSys: Decentralized Swarm-Inspired Agents for Scalable and Adaptive Reasoning

Li, R., Liu, H., Zhao, L., Li, Z., Li, J., Jiang, J., Xu, L., Zhao, C., Fan, M., & Liang, C. (2025) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 0

TroVE: Inducing Verifiable and Efficient Toolboxes for Solving Programmatic Tasks

Wang, Z., Fried, D., & Neubig, G. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

Agentic Recommendation Optimization: A Blueprint for the Post-Search Economy

Holmes, G. (2026) · SSRN

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0

TurboQuant: Online Vector Quantization with Near-optimal Distortion Rate

Zandieh, A., Daliri, M., Hadian, M., & Mirrokni, V. (2025) · arXiv

Logic, programming, and type systemsFormal Methods in Verification

Cited by 0

Syzygy of Thoughts: Improving LLM CoT with the Minimal Free Resolution

Li, C., Zhang, C., Lu, Y., Zhang, J., Sun, Q., Wang, X., Wei, J., Wang, G., Yang, Y., & Shen, H. T. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MemVerse: Multimodal Memory for Lifelong Learning Agents

Liu, J., Sun, Y., Cheng, W., Lei, H., Chen, Y., Wen, L., Yang, X., Fu, D., Cai, P., Deng, N., et al. (2025) · arXiv

Multimodal Machine Learning ApplicationsDomain Adaptation and Few-Shot Learning

Cited by 0

REMOR: Automated Peer Review Generation with LLM Reasoning and Multi-Objective Reinforcement Learning

Taechoyotin, P., & Acuna, D. (2025) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 0

A Study of Teachers’ Attitudes towards Digital Educational Technologies: a Qualitative Analysis

Bushina, E. V., Karimova, A. M., & Fakhretdinova, A. P. (2026) · Population and Economics

Educational Innovations and ChallengesEducation and Communication Studies

Cited by 0

Cognitive Autonomous Memory Security (CAMS) against injection and extraction attacks in long-term memory of AI agents

T., D., S., S., Ramamoorthy, A. K., & Balasubramanian, U. M. (2026) · Egyptian Informatics Journal

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Evaluating and Guarding Citation Faithfulness in Agentic Scientific Synthesis

Goo, T., Kim, J., Han, K., Jo, G., Kim, J.-S., & Kim, T.-H. (2026) · arXiv

Topic Modelingscientometrics and bibliometrics research

Cited by 0

ProAgentBench: Evaluating LLM Agents for Proactive Assistance with Real-World Data

Tang, Y., Tang, H., Cao, T., Nguyen, L., Zhang, A., Cao, X., Liu, C., Ding, W., & Li, Y. (2026) · arXiv

Recommender Systems and TechniquesSpeech and dialogue systems

Cited by 0

TaskCraft: Automated Generation of Agentic Tasks

Shi, D., Cao, J., Chen, Q., Sun, W., Li, W., Lu, H., Dong, F., Qin, T., Zhu, K., Liu, M., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

AgentLongBench: A Controllable Long Benchmark For Long-Contexts Agents via Environment Rollouts

Fang, S., Wang, Y., Liu, X., Lu, J., Tan, C., Chen, X., Zheng, Y., Huang, X., & Qiu, X. (2026) · arXiv

AI-based Problem Solving and PlanningTopic Modeling

Cited by 0

Formalizing the Safety, Security, and Functional Properties of Agentic AI Systems

Allegrini, E., Shreekumar, A., & Celik, Z. B. (2025) · arXiv

Formal Methods in VerificationMulti-Agent Systems and Negotiation

Cited by 0