Check computer science papers: citations, claims and retractions

AGDecode: Semantic Attribute Grammar Derivatives for Safety-Constrained Decoding of Large Language Models

Maghera, R., Arya, A. T., Babikian, A. A., Chechik, M., & Dehnavi, M. M. (2026) · arXiv

Logic, programming, and type systemsSoftware Testing and Debugging Techniques

Cited by 0

Role-Augmented Intent-Driven Generative Search Engine Optimization

Chen, X., Bao, J., Wu, H., Chen, Z., Pan, L., & Liao, Y. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

HoH: A Dynamic Benchmark for Evaluating the Impact of Outdated Information on Retrieval-Augmented Generation

Ouyang, J., Pan, T., Cheng, M., Yan, R., Luo, Y., Lin, J., & Liu, Q. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

The Hidden Risks of Large Reasoning Models: A Safety Assessment of R1

Zhou, K., Liu, C., Zhao, X., Jangam, S., Srinivasa, J., Liu, G., Song, D., & Wang, X. E. (2025) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

C-SEO Bench: Does Conversational SEO Work?

Puerto, H., Gubri, M., Green, T., Oh, S. J., & Yun, S. (2025) · arXiv

Information Retrieval and Search BehaviorWeb visibility and informetrics

Cited by 0

Meta-Reasoner: Dynamic Guidance for Optimized Inference-time Reasoning in Large Language Models

Sui, Y., He, Y., Cao, T., Han, S., Chen, Y., & Hooi, B. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Never the Number: Structural Abstention for AI Systems Whose Answers Are Consumed as Fact

Zhelun, & Wu (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

HarnessSecurity-Bench: Do Security Mechanisms Really Protect Coding Agent Harnesses?

Zhu, Z., Huang, L., Ji, R., Ye, M., Zhou, Z., Guo, H., Wu, J., Ye, Y., Feng, Y., Dai, H.-N., et al. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

Two Minds Better Than One: Collaborative Reward Modeling for LLM Alignment

Zhang, J., Jing, W., Zhang, Z., Xi, Z., Dou, S., Weng, R., Li, J., Wang, J., Chai, M., Hong, S., et al. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Experience Compression Spectrum: Unifying Memory, Skills, and Rules in LLM Agents

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

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

Will Compute Bottlenecks Prevent an Intelligence Explosion?

Whitfill, P., & Wu, C. (2025) · arXiv

Artificial Intelligence ApplicationsEconomic Growth and Productivity

Cited by 0

Method-Based Reasoning for Large Language Models: Extraction, Reuse, and Continuous Improvement

Su, H. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

EverMemOS: A Self-Organizing Memory Operating System for Structured Long-Horizon Reasoning

Hu, C., Gao, X., Zhou, Z., Xu, D., Bai, Y., Li, X., Zhang, H., Li, T., Zhang, C., Bing, L., et al. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

Explainable Anomaly Detection for System Logs in Distributed Environments

Gu, Z., Yue, W., & Liu, C. (2026) · Computers, Materials & Continua

Software System Performance and ReliabilityAnomaly Detection Techniques and Applications

Cited by 0

Multinational machine learning investigation of whether generative AI interactions augment or substitute cognitive skills and study efficiency in global higher education

Bolatimi, O. S., Ricky-Okine, C., Bolatimi, F. E., Agbesi, C. C. M., Martey, F., Bolatimi, O. R., Peter, A., & Kwaku, E. O. (2026) · Discover Artificial Intelligence

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Beyond Symmetric Agents: Cognitive Diversity and Multi-Agent Debate in Small Language Models

Ferreira, L., Liu, G., & Zheng, K. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

An Analysis of Attention via the Lens of Exchangeability and Latent Variable Models

Zhang, Y., Liu, B., Cai, Q., Wang, L., & Wang, Z. (2022) · arXiv

Topic ModelingExplainable Artificial Intelligence (XAI)

Cited by 0

A Compute-Matched Re-Evaluation of TroVE on MATH

Sesterhenn, T., Berlot-Attwell, I., Zenkner, J., & Bartelt, C. (2025) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 0

Thought Virus: Viral Misalignment via Subliminal Prompting in Multi-Agent Systems

Weckbecker, M., Müller, J., Hagag, B., & Mulet, M. (2026) · arXiv

Adversarial Robustness in Machine LearningEthics and Social Impacts of AI

Cited by 0

Skill-Inject: Measuring Agent Vulnerability to Skill File Attacks

Schmotz, D., Beurer-Kellner, L., Abdelnabi, S., & Andriushchenko, M. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

SVG: 3D Stereoscopic Video Generation via Denoising Frame Matrix

Dai, P., Tan, F., Xu, Q., Futschik, D., Du, R., Fanello, S., Qi, X., & Zhang, Y. (2024) · arXiv

Generative Adversarial Networks and Image SynthesisAdvanced Vision and Imaging

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Real AI Agents with Fake Memories: Fatal Context Manipulation Attacks on Web3 Agents

Patlan, A. S., Sheng, P., Hebbar, S. A., Mittal, P., & Viswanath, P. (2025) · arXiv

Adversarial Robustness in Machine LearningBlockchain Technology Applications and Security

Cited by 0

IHEval: Evaluating Language Models on Following the Instruction Hierarchy

Zhang, Z., Li, S., Zhang, Z., Liu, X., Jiang, H., Tang, X., Gao, Y., Li, Z., Wang, H., Tan, Z., et al. (2025) · arXiv

Speech and dialogue systemsNatural Language Processing Techniques

Cited by 0

Implementation of an Ultra-Low Power CNN Accelerator on PYNQ Z2 FPGA-Based Platform for Real-Time Edge AI Applications

Kumar K, A., Navaneethan, S., S, D., & T, J. (2025) · 2025 7th International Symposium on Advanced Electrical and Communication Technologies (ISAECT)

Advanced Neural Network ApplicationsEmbedded Systems Design Techniques

Cited by 0