Check computer science papers: citations, claims and retractions

MultiPhishGuard: An Explainable and Adaptive Multi-Agent LLM System for Phishing Email Detection

Xue, Y., Spero, E., Woo, M. W., Gao, W., & Russello, G. (2025) · arXiv

Spam and Phishing DetectionAdversarial Robustness in Machine Learning

Cited by 0

Modern Italian Grammar Workbook

Proudfoot, A. (2003) · Routledge eBooks

Linguistic Studies and Language AcquisitionLanguage Acquisition and Education

Cited by 0

SoK: Agentic Retrieval-Augmented Generation (RAG): Taxonomy, Architectures, Evaluation, and Research Directions

Mishra, S., Niroula, S., Yadav, U., Thakur, D., Gyawali, S., & Gaire, S. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Ctrl-Z: Controlling AI Agents via Resampling

Bhatt, A., Rushing, C., Kaufman, A., Tracy, T., Georgiev, V., Matolcsi, D., Khan, A., & Shlegeris, B. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Recurrent Harness for Agentic Continual Learning

Xiao, Y., Lu, Z., Wang, J., Zhang, Y., Song, Y., Wang, Q., & Wang, B. (2026) · arXiv

Domain Adaptation and Few-Shot LearningData Stream Mining Techniques

Cited by 0

Uncovering Gaps in How Humans and LLMs Interpret Subjective Language

Jones, E., Patrawala, A., & Steinhardt, J. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Beyond Consensus: Downward Bias and Role Asymmetry in Multi-Agent LLM Judges for Subjective Evaluation

Song, M., Kim, C., Eo, S., & Park, C. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

David vs. Goliath: Verifiable Agent-to-Agent Jailbreaking via Reinforcement Learning

Nellessen, S., & Kachman, T. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

LongMemEval-V2: Evaluating Long-Term Agent Memory Toward Experienced Colleagues

Wu, D., Ji, Z., Kawatkar, A., Kwan, B., Gu, J.-C., Peng, N., & Chang, K.-W. (2026) · arXiv

AI-based Problem Solving and PlanningInformation Retrieval and Search Behavior

Cited by 0

Explainable AI Isn't Enough! Rethinking Algorithmic Contestability

Freiesleben, T., Meding, K., & König, G. (2026) · arXiv

Explainable Artificial Intelligence (XAI)Ethics and Social Impacts of AI

Cited by 0

You can contribute if you... An Empirical Framework of AI Contribution Policies in OSS

Robles, G., & German, D. M. (2026) · arXiv

Open Source Software InnovationsSoftware Engineering Research

Cited by 0

Synthetic Data Generation & Multi-Step RL for Reasoning & Tool Use

Goldie, A., Mirhoseini, A., Zhou, H., Cai, I., & Manning, C. D. (2025) · arXiv

Reinforcement Learning in RoboticsTopic Modeling

Cited by 0

Transferable End-to-End Optimization for Indirect Long-Term Memory Poisoning in LLM Agents

Zang, C., Wang, J., Chen, W., Meng, X., Wang, L., Gao, X., Li, Z., & Guo, S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Scaling Latent Reasoning via Looped Language Models

Zhu, R.-J., Wang, Z., Hua, K., Zhang, T., Li, Z., Que, H., Wei, B., Wen, Z., Yin, F., Xing, H., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

The Intelligent Writing Revolution: The Transformation of AI Writing Tools in College English Writing Teaching in the Past Five Years

Wu, K. (2026) · SHS Web of Conferences

Educational Technology and PedagogyArtificial Intelligence Applications

Cited by 0

Thought Is All You Need: Smart Contract Vulnerability Detection with Thought-Augmented Large Language Model

Peng, C., Jiang, M., Zhou, Y., & Wu, L. (2026) · Proceedings of the ACM on Software Engineering

Blockchain Technology Applications and SecuritySoftware Engineering Research

Cited by 0

A language model framework for sequence modeling of EHR audit logs to characterize clinician-EHR interactions

Kim, S., Lou, S., Cobb, A., Jha, S., & Kannampallil, T. (2026) · medRxiv

Machine Learning in HealthcareElectronic Health Records Systems

Cited by 0

Proprio: Latent Self-Scoring and Inference-Time Refinement for Physically Plausible Video Generation

Hassan, M., Messaoud, K., Li, W., & Alahi, A. (2026) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

WSM: Decay-Free Learning Rate Schedule via Checkpoint Merging for LLM Pre-training

Tian, C., Wang, J., Zhao, Q., Chen, K., Liu, J., Liu, Z., Mao, J., Zhao, W. X., Zhang, Z., & Zhou, J. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Listening Between the Frames: Bridging Temporal Gaps in Large Audio-Language Models

Wang, H., Li, Y., Ma, S., Liu, H., & Wang, X. (2025) · arXiv

Music and Audio ProcessingSpeech Recognition and Synthesis

Cited by 0

M$^2$: Dual-Memory Augmentation for Long-Horizon Web Agents via Trajectory Summarization and Insight Retrieval

Yan, D., Zhang, H., Huzhang, G., Li, Y., Wang, Y., Chen, Q.-G., Xu, Z., Luo, W., Li, Y., Dong, W., et al. (2026) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

DeepResearchGym: A Free, Transparent, and Reproducible Sandbox for Deep Research

Coelho, J., Ning, J., He, J., Mao, K., Paladugu, A. S., Setlur, P., Jin, J., Callan, J., Magalhães, J., Martins, B., et al. (2026) · Proceedings of the 2026 International ACM SIGIR Conference on Innovative Concepts and Theories in Information Retrieval (ICTIR)

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

A Taxonomy of Programming Languages for Code Generation

Raihan, N., Newman, C., & Zampieri, M. (2026) · arXiv

Software Engineering ResearchNatural Language Processing Techniques

Cited by 0

Wan-Animate: Unified Character Animation and Replacement with Holistic Replication

Cheng, G., Gao, X., Hu, L., Hu, S., Huang, M., Ji, C., Li, J., Meng, D., Qi, J., Qiao, P., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisHuman Motion and Animation

Cited by 0