Check computer science papers: citations, claims and retractions

A Multimodal Deep Learning Framework for Predicting ICU Deterioration: Integrating ECG Waveforms with Clinical Data and Clinician Benchmarking

Alcaraz, J. M. L., Moran, X. L., Zaragoza, E. D., Händel, C., Koebe, R., Haverkamp, W., & Strodthoff, N. (2026) · arXiv

Machine Learning in HealthcareArtificial Intelligence in Healthcare

Cited by 0

Dual-Space Masked Reconstruction for Robust Self-Supervised Human Activity Recognition

Xiao, S., Deng, J., Tang, C., & Huang, Z. (2025) · Proceedings of the 34th ACM International Conference on Information and Knowledge Management

Context-Aware Activity Recognition SystemsHuman Pose and Action Recognition

Cited by 0

The Silent Judge: Unacknowledged Shortcut Bias in LLM-as-a-Judge

Marioriyad, A., Rohban, M. H., & Baghshah, M. S. (2025) · arXiv

Topic ModelingEthics and Social Impacts of AI

Cited by 0

MatKV: Trading Compute for Flash Storage in LLM Inference

Shin, K.-W., Park, J. H., Oh, M., Jo, Y., Do, J., & Lee, S.-W. (2026) · 2026 IEEE 42nd International Conference on Data Engineering (ICDE)

Parallel Computing and Optimization TechniquesAdvanced Data Storage Technologies

Cited by 0

Safety in Self-Evolving Agents: A Survey

Chen, J., Feng, Z., Ma, O., Yan, Y., Lin, R., Zhang, H., Du, L., An, H., Yang, Y., Liu, J., et al. (2026) · arXiv

Evolutionary Algorithms and ApplicationsSafety Systems Engineering in Autonomy

Cited by 0

Efficient Benchmarking (of Language Models)

Perlitz, Y., Bandel, E., Gera, A., Arviv, O., Ein-Dor, L., Shnarch, E., Slonim, N., Shmueli-Scheuer, M., & Choshen, L. (2023) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Code Is the Body: Agent-Owned Software Bodies for Recursive Evolution and Descent

Zhao, R., & Zhao, Z. (2026) · arXiv

Advanced Software Engineering MethodologiesEvolutionary Algorithms and Applications

Cited by 0

Digital discourse and the human experiences of AI music: an ethnomusicological perspective

Avdeeff, M. (2025) · Ethnomusicology Forum

Music Technology and Sound StudiesMusic History and Culture

Cited by 0

AZR: Risk-Adaptive Verification for Decentralized AI Inference on Blockchain Rollups

Virani, A. (2026) · Zenodo

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 0

ReviewAgents: Bridging the Gap Between Human and AI-Generated Paper Reviews

Gao, X., Ruan, J., Zhang, Z., Gao, J., Liu, T., & Fu, Y. (2025) · arXiv

Topic ModelingAcademic Writing and Publishing

Cited by 0

What I cannot execute, I do not understand: Training and Evaluating LLMs on Program Execution Traces

Armengol-Estapé, J., Carbonneaux, Q., Zhang, T., Markosyan, A. H., Seeker, V., Cummins, C., Kambadur, M., O'Boyle, M. F. P., Wang, S., Synnaeve, G., et al. (2025) · arXiv

Software Engineering ResearchTeaching and Learning Programming

Cited by 0

Bibliographic Metadata Extraction Using Deterministic Retrieval and Specialized AI Agents

Rasheva-Yordanova, K., Hadzhiyska, Y., Ivanov, I., Kostadinova, I., Lozev, L., & Lozeva, A. (2026) · Information

Library Science and Information SystemsTopic Modeling

Cited by 0

When Agents Coordinate: Measuring Coordination in Multi-Agent AI Coding

Destefanis, G., & Aste, T. (2026) · arXiv

Software Engineering Techniques and PracticesSoftware Engineering Research

Cited by 0

Reference-Based Distillation Detection in LLMs

Rawat, R., Chen, S., Anand, A., Duan, M., Rotsted, B., & Min, S. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Governed Memory: A Production Architecture for Multi-Agent Workflows

Taheri, H. (2026) · arXiv

Advanced Database Systems and QueriesTopic Modeling

Cited by 0

From Low Rank Gradient Subspace Stabilization to Low-Rank Weights: Observations, Theories, and Applications

Jaiswal, A., Wang, Y., Yin, L., Liu, S., Chen, R., Zhao, J., Grama, A., Tian, Y., & Wang, Z. (2024) · arXiv

Advanced Neural Network ApplicationsTopic Modeling

Cited by 0

Silo-Bench: A Scalable Environment for Evaluating Distributed Coordination in Multi-Agent LLM Systems

Zhang, Y., Liu, F., Shan, Y., Huang, X., Yang, X., Zhu, Y., Cheng, X., Liu, C., Zeng, K., Zhang, T. J., et al. (2026) · arXiv

Multi-Agent Systems and NegotiationDistributed Control Multi-Agent Systems

Cited by 0

SuperLocalMemory: Privacy-Preserving Multi-Agent Memory with Bayesian Trust Defense Against Memory Poisoning

Bhardwaj, V. P. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

Ethical Challenges and Best Practices for Transparency in AIED: A Literature Review and Learner Centric Guidelines

RAI, R. D., PAWAR, M., & RAJENDRAN, R. (2023) · International Conference on Computers in Education

Intelligent Tutoring Systems and Adaptive LearningEthics and Social Impacts of AI

Cited by 0

Paper2Code: Automating Code Generation from Scientific Papers in Machine Learning

Seo, M., Baek, J., Lee, S., & Hwang, S. J. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

The Hidden Cost of Readability: How Code Formatting Silently Consumes Your LLM Budget

Pan, D., Sun, Z., Zhang, C., Lo, D., & Du, X. (2026) · Proceedings of the 2026 IEEE/ACM 48th International Conference on Software Engineering

Software Engineering ResearchTopic Modeling

Cited by 0

FlexPrefill: A Context-Aware Sparse Attention Mechanism for Efficient Long-Sequence Inference

Lai, X., Lu, J., Luo, Y., Ma, Y., & Zhou, X. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Needle in the Web: A Benchmark for Retrieving Targeted Web Pages in the Wild

Wang, Y., Fan, T., Xu, L., & Huang, C. (2025) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Semantic Retrieval for Product Search in E-Commerce

Kothari, N., Samdani, S., Mallick, R., Gupta, P., Vijay, A., & Kumar, S. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0