Check computer science papers: citations, claims and retractions

Reorganization and Participation in Decentralized Platform Ecosystems: Evidence from Blockchain Forking

Hsieh, Y.-Y., & Andersen, J. (2023) · Proceedings of the Annual Hawaii International Conference on System Sciences

Blockchain Technology Applications and SecurityDigital Platforms and Economics

Cited by 1

Addressing Deepfake Technologies Through Detection and Regulation: A Systematic Survey

Ibrahim, R. (2025) · East Journal of Applied Science

Digital Media Forensic DetectionMisinformation and Its Impacts

Cited by 1

RNNs are not Transformers (Yet): The Key Bottleneck on In-context Retrieval

Wen, K., Dang, X., & Lyu, K. (2024) · arXiv

Topic ModelingNeural Networks and Applications

Cited by 1

ACRFence: Preventing Semantic Rollback Attacks in Agent Checkpoint-Restore

Zheng, Y., Yang, Y., Zhang, W., & Quinn, A. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 1

Lineage-Aware Memory Governance: A Derivation-Gated Framework for Privacy-Preserving Column-Level Access Control in Enterprise AI Agents

Sangaraju, V., & Vissa, S. (2026) · IEEE Access

Access Control and TrustPrivacy-Preserving Technologies in Data

Cited by 1

TVGeAN: Tensor Visibility Graph-Enhanced Attention Network for Versatile Multivariant Time Series Learning Tasks

Baz, M. (2024) · Mathematics

Time Series Analysis and ForecastingAdvanced Graph Neural Networks

Cited by 1

Neural MMO 2.0: A Massively Multi-task Addition to Massively Multi-agent Learning

Suarez, J., Bloomin, D., Choe, K. W., Li, H. X., Sullivan, R., Kanna, N., Scott, D., Shuman, R., Bradley, H., Castricato, L., et al. (2023) · Advances in Neural Information Processing Systems 36

Reinforcement Learning in RoboticsArtificial Intelligence in Games

Cited by 1

MMAU: A Massive Multi-Task Audio Understanding and Reasoning Benchmark

Sakshi, S., Tyagi, U., Kumar, S., Seth, A., Selvakumar, R., Nieto, O., Duraiswami, R., Ghosh, S., & Manocha, D. (2024) · arXiv

Music and Audio ProcessingMultimodal Machine Learning Applications

Cited by 1

Multimodal Retrieval-Augmented Generation in Knowledge Systems: A Framework for Enhanced Semantic Search and Response Accuracy

Mihajlović, M. (2025) · Proceedings of the International Scientific Conference - Sinteza 2025

Topic ModelingMultimodal Machine Learning Applications

Cited by 1

CodeEditorBench: Evaluating Code Editing Capability of Large Language Models

Guo, J., Li, Z., Liu, X., Ma, K., Zheng, T., Yu, Z., Pan, D., LI, Y., Liu, R., Wang, Y., et al. (2024) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 1

Learning from Reward-Free Offline Data: A Case for Planning with Latent Dynamics Models

Sobal, V., Zhang, W., Cho, K., Balestriero, R., Rudner, T. G. J., & LeCun, Y. (2025) · arXiv

Reinforcement Learning in RoboticsAI-based Problem Solving and Planning

Cited by 1

Examining popular arguments against AI existential risk: a philosophical analysis

Swoboda, T., Uuk, R., Lauwaert, L., Rebera, A. P., Oimann, A.-K., Chomanski, B., & Prunkl, C. (2026) · Ethics and Information Technology

Ethics and Social Impacts of AICybernetics and Technology in Society

Cited by 1

Blockchain-based Supply Chain Traceability for COVID-19 PPE

Omar, I., Debe, M., Jayaraman, R., Salah, K., Omar, M., & Arshad, J. (2020)

Blockchain Technology Applications and SecurityFood Supply Chain Traceability

Cited by 1

Budget-Aware Tool-Use Enables Effective Agent Scaling

Liu, T., Wang, Z., Miao, J., Hsu, I.-H., Yan, J., Chen, J., Han, R., Xu, F., Chen, Y., Jiang, K., et al. (2025) · arXiv

Information Retrieval and Search BehaviorAI-based Problem Solving and Planning

Cited by 1

Learning Planning-based Reasoning by Trajectories Collection and Process Reward Synthesizing

Jiao, F., Qin, C., Liu, Z., Chen, N. F., & Joty, S. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

Conformal Prediction for Image Segmentation Using Morphological Prediction Sets

Mossina, L., & Friedrich, C. (2025) · arXiv

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 1

Comparing Task Simplifications to Learn Closed-Loop Object Picking Using Deep Reinforcement Learning

Breyer, M., Furrer, F., Novkovic, T., Siegwart, R., & Nieto, J. (2018) · arXiv

Reinforcement Learning in RoboticsRobot Manipulation and Learning

Cited by 1

The Other Mind: How Language Models Exhibit Human Temporal Cognition

Li, L., Yao, Y., Wang, Y., Li, C., Teng, Y., & Wang, Y. (2026) · Proceedings of the AAAI Conference on Artificial Intelligence

Topic ModelingCognitive Science and Education Research

Cited by 1

Which Agent Causes Task Failures and When? On Automated Failure Attribution of LLM Multi-Agent Systems

Zhang, S., Yin, M., Zhang, J., Liu, J., Han, Z., Zhang, J., Li, B., Wang, C., Wang, H., Chen, Y., et al. (2025) · arXiv

Software System Performance and ReliabilitySoftware Testing and Debugging Techniques

Cited by 1

VerifiAgent: a Unified Verification Agent in Language Model Reasoning

Han, J., Buntine, W., & Shareghi, E. (2025) · Findings of the Association for Computational Linguistics: EMNLP 2025

Topic ModelingNatural Language Processing Techniques

Cited by 1

QRelScore: Better Evaluating Generated Questions with Deeper Understanding of Context-aware Relevance

Wang, X., Liu, B., Tang, S., & Wu, L. (2022) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 1

“Application of machine learning to curriculum design analysis,”

Rawatlal, R. (2017) · 2017 Computing Conference

Online Learning and AnalyticsEngineering Education and Curriculum Development

Cited by 1

Harness^2: Recursive Agent Harnessing for an Open World

Xu, R., Chen, Y., CuiZhu, Z., Mishra, B. D., Ming, Y., Yu, H., Han, R., Lee, C.-Y., & Pfister, T. (2026) · arXiv

AI-based Problem Solving and PlanningEvolutionary Algorithms and Applications

Cited by 1

PhiNets: a scalable backbone for low-power AI at the edge

Paissan, F., Ancilotto, A., & Farella, E. (2021) · arXiv

Advanced Neural Network ApplicationsIoT and Edge/Fog Computing

Cited by 1