Check computer science papers: citations, claims and retractions

Optimized Certainty Equivalent Risk-Controlling Prediction Sets

Huang, J., Farzaneh, A., & Simeone, O. (2026) · arXiv

Adversarial Robustness in Machine LearningRisk and Portfolio Optimization

Cited by 0

Authenticated Workflows: A Systems Approach to Protecting Agentic AI

Rajagopalan, M., & Rao, V. (2026) · arXiv

Access Control and TrustAdversarial Robustness in Machine Learning

Cited by 0

Are Aligned Large Language Models Still Misaligned?

Naseem, U., Kashyap, G. S., Ali, R., Shabbir, E., Ray, S. K., Mohammad, A., & Seth, A. (2026) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 0

PERMA: Benchmarking Personalized Memory Agents via Event-Driven Preference and Realistic Task Environments

Liu, S., Zhu, J., Shu, L., Lin, J., Chen, Y., Zhang, H., Zhang, C., Xu, D., Li, J., Tang, B., et al. (2026) · arXiv

Speech and dialogue systemsRecommender Systems and Techniques

Cited by 0

Incremental Averaging Method to Improve Graph-Based Time-Difference-of-Arrival Estimation

Brümann, K., Yamaoka, K., Ono, N., & Doclo, S. (2025) · 2025 IEEE Workshop on Applications of Signal Processing to Audio and Acoustics (WASPAA)

Speech and Audio ProcessingDirection-of-Arrival Estimation Techniques

Cited by 0

SkillMaster: Toward Autonomous Skill Mastery in LLM Agents

Yang, M., Piao, J., Xia, X., Lan, X., Chen, J., Gong, Y., & Li, Y. (2026) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 0

Beyond Turn Limits: Training Deep Search Agents with Dynamic Context Window

Tang, Q., Xiang, H., Yu, L., Yu, B., Lu, Y., Han, X., Sun, L., Zhang, W., Wang, P., Liu, S., et al. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Integrating Traditional Risk Management Practices with Agile Software Development: A Hybrid Framework for Improved Risk Handling

Nidheesh Sharma, D. N. G. (2026) · International Journal of Research & Technology

Software Engineering Techniques and PracticesConstruction Project Management and Performance

Cited by 0

MegaMath: Pushing the Limits of Open Math Corpora

Zhou, F., Wang, Z., Ranjan, N., Cheng, Z., Tang, L., He, G., Liu, Z., & Xing, E. P. (2025) · arXiv

Topic ModelingMathematics, Computing, and Information Processing

Cited by 0

VideoAuto-R1: Video Auto Reasoning via Thinking Once, Answering Twice

Liu, S., Zhuge, M., Zhao, C., Chen, J., Wu, L., Liu, Z., Zhu, C., Cai, Z., Zhou, C., Liu, H., et al. (2026) · arXiv

Multimodal Machine Learning ApplicationsHuman Pose and Action Recognition

Cited by 0

Revisiting Multi-Agent Debate as Test-Time Scaling: A Systematic Study of Conditional Effectiveness

Yang, Y., Yi, E., Ko, J., Lee, K., Jin, Z., & Yun, S.-Y. (2025) · arXiv

Multi-Agent Systems and NegotiationAdversarial Robustness in Machine Learning

Cited by 0

Humans are Missing from AI Coding Agent Research

Wang, Z. Z., Yang, J., Lieret, K., Tartaglini, A., Chen, V., Wei, Y., Wang, Z., Zhang, L., Narasimhan, K., Schmidt, L., et al. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Agent-R1: A Unified and Modular Framework for Agentic Reinforcement Learning

Cheng, M., Yu, S., Wang, D., Li, Q., Tao, X., Ouyang, J., Luo, Y., Zhou, Y., Liu, Q., & Chen, E. (2025) · arXiv

Reinforcement Learning in RoboticsNatural Language Processing Techniques

Cited by 0

The Promptware Kill Chain: How Prompt Injections Gradually Evolved Into a Multistep Malware Delivery Mechanism

Brodt, O., Feldman, E., Schneier, B., & Nassi, B. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Multimodal Promptable Token Merging for Diffusion Models

Hong, C.-Y., & Liu, T.-L. (2025) · Proceedings of the AAAI Conference on Artificial Intelligence

Generative Adversarial Networks and Image SynthesisAdvanced Neural Network Applications

Cited by 0

On Effectiveness and Efficiency of Agentic Tool-calling and RL Training

Liu, T., Qian, C., Cief, M., He, Y., Dan, D., Aletras, N., & Kazai, G. (2026) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Reducing Token Usage of State-in-Context Agents using Minification

Hrubec, N., & Cito, J. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Beyond Statistical Learning: Exact Learning Is Essential for General Intelligence

György, A., Lattimore, T., Lazić, N., & Szepesvári, C. (2025) · arXiv

Logic, Reasoning, and KnowledgeAI-based Problem Solving and Planning

Cited by 0

DDL: A Large-Scale Dataset for Deepfake Detection and Localization in Diversified Real-World Scenarios

Miao, C., Zhang, Y., Gao, W., Tan, Z., Feng, W., Luo, M., Li, J., Liu, A., Diao, Y., Chu, Q., et al. (2025) · arXiv

Digital Media Forensic DetectionGenerative Adversarial Networks and Image Synthesis

Cited by 0

Evaluating the Impact of AI-Based Software Development Tools on Programming Efficiency Among Tertiary Computing Students

Torres, J. C. G., Lacorte, A. M., & Calvez, J. P. G. (2026) · 2026 12th International Conference on Education and Training Technologies (ICETT)

Teaching and Learning ProgrammingSoftware Engineering Research

Cited by 0

Towards Reliable Detection of LLM-Generated Texts: A Comprehensive Evaluation Framework with CUDRT

Tao, Z., Chen, Y., Xi, D., Li, Z., & Xu, W. (2024) · arXiv

Authorship Attribution and ProfilingDigital Media Forensic Detection

Cited by 0

Transformers as Decision Makers: Provable In-Context Reinforcement Learning via Supervised Pretraining

Lin, L., Bai, Y., & Mei, S. (2023) · arXiv

Reinforcement Learning in RoboticsAdvanced Bandit Algorithms Research

Cited by 0

Semantic Probabilistic Control of Language Models

Ahmed, K., Belem, C. G., Smyth, P., & Singh, S. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

CacheClip: Accelerating RAG with Effective KV Cache Reuse

Yang, B., Leng, Q., Zeng, J., & Wu, Z. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0