Check computer science papers: citations, claims and retractions

Elicitation or Expansion? Demystifying Gains from Agent Harness Optimization

Kim, Y., Seo, W., Kim, M., Oh, S., Lee, M., Kim, D., Koo, H. I., Kim, J., & Kang, W. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents

Zhang, X., Wang, G., Cui, Y., Li, Z., Qiu, W., Zhu, B., & He, P. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Liu, J., Kong, Z., Yang, C., Yang, F., Li, T., Dong, P., Nanjekye, J., Tang, H., Yuan, G., Niu, W., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Development and application of a generative-AI-driven virtual simulation teaching system for international business negotiation scenarios

Mo, Q. (2026) · Scientific Reports

Artificial Intelligence in EducationManagement and Marketing Education

Cited by 0

Does AI Help or Hurt Learning? *

Franco, C., Irmert, N., & Isaksson, S. (2026) · SSRN Electronic Journal

Artificial Intelligence in EducationIntelligent Tutoring Systems and Adaptive Learning

Cited by 0

Self-Correction as Feedback Control: Error Dynamics, Stability Thresholds, and Prompt Interventions in LLMs

Liu, A., & Meng, J. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Wettig, A., Lo, K., Min, S., Hajishirzi, H., Chen, D., & Soldaini, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Freeriding and Rebellion: An Investigation of Open Source Vendor Relicensing and Member Hard Forking Events

Foster, D., & Germonprez, M. (2026) · Information Systems Journal

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 0

AI Based Surveillance System

Maheshwari, K. K., Hajano, S., Baloch, S., Zafar, Z., & Fatima, T. (2025) · 2025 International Conference on Emerging Technologies in Electronics, Computing, and Communication (ICETECC)

Video Surveillance and Tracking MethodsFace recognition and analysis

Cited by 0

Decentralized Self-Verifiable Cryptographic Image Provenance in Social Internet of Things

Akram, J., Akram, A., & Anaissi, A. (2026) · Future Internet

Cryptography and Data SecurityBlockchain Technology Applications and Security

Cited by 0

Detecting Data Contamination in Code Generation Benchmarks via DiffMIA

Yamashita, K. (2025) · 2025 32nd Asia-Pacific Software Engineering Conference (APSEC)

Adversarial Robustness in Machine LearningSoftware Engineering Research

Cited by 0

An Empirical Study of Autoregressive Pre-Training from Videos

Rajasegaran, J., Radosavovic, I., Ravishankar, R., Gandelsman, Y., Feichtenhofer, C., & Malik, J. (2025) · arXiv

Multimodal Machine Learning ApplicationsAdvanced Neural Network Applications

Cited by 0

A Map–Summarize Framework for Answer Set Verbalization

Alviano, M., Capalbo, M., & Piccolo, S. A. (2026) · Proceedings of the TwentyThird International Conference on Principles of Knowledge Representation and Reasoning

Logic, Reasoning, and KnowledgeTopic Modeling

Cited by 0

Baba in Wonderland: Online Self-Supervised Dynamics Discovery for Executable World Models

Seo, S., Han, D., Noh, S., & Kang, H. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

LifeSearch: Benchmarking Deep Research Agents for Real-World Life and Productivity

Wang, Y., Jin, S., Ning, Y., Liang, X., Luo, H., Zhang, J., He, Y., Wu, W., & Clarenceai (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Coding Agents are Effective Long-Context Processors

Cao, W., Yin, X., Dhingra, B., & Zhou, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

What Makes In-Context Examples Effective for Code Generation?

Li, D., Chen, S., Cao, J., & Cheung, S.-C. (2026) · Proceedings of the ACM on Software Engineering

Software Engineering ResearchTeaching and Learning Programming

Cited by 0

Mem-T: Densifying Rewards for Long-Horizon Memory Agents

Yue, Y., Peng, B., Fan, X., Guo, J., Li, Q., & Zhang, Y. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Algorithm aversion in academic libraries: User resistance to AI-enabled discovery and search services

Cao, F., Bu, L., Huang, Y., Chi, Y., & Fu, H. (2026) · The Journal of Academic Librarianship

Web and Library ServicesLibrary Science and Information Literacy

Cited by 0

Adjusted NPCR and UACI Reference Values for STL Files Under IEEE-754 Validity Constraints

Troev, T., & Stoyanov, B. (2026) · Mathematics

Chaos-based Image/Signal EncryptionCryptographic Implementations and Security

Cited by 0

How to think step-by-step: A mechanistic understanding of chain-of-thought reasoning

Dutta, S., Singh, J., Chakrabarti, S., & Chakraborty, T. (2024) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 0

Paraphrasing Adversarial Attack on LLM-as-a-Reviewer

Kaneko, M. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

News Source Citing Patterns in AI Search Systems

Yang, K.-C. (2025) · arXiv

Information Retrieval and Search BehaviorMisinformation and Its Impacts

Cited by 0

OverThink: Slowdown Attacks on Reasoning LLMs

Kumar, A., Roh, J., Naseh, A., Karpinska, M., Iyyer, M., Houmansadr, A., & Bagdasarian, E. (2025) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0