Check computer science papers: citations, claims and retractions

LASP-2: Rethinking Sequence Parallelism for Linear Attention and Its Hybrid

Sun, W., Lan, D., Zhong, Y., Qu, X., & Cheng, Y. (2025) · arXiv

Parallel Computing and Optimization TechniquesTopic Modeling

Cited by 0

Generative AI in Startup Innovation: A Scoping Review

Weng, Y., Salim, F. A. A., & Nie, X. (2026) · International Journal of Research and Innovation in Social Science

Artificial Intelligence ApplicationsEntrepreneurship Studies and Influences

Cited by 0

From Pixel to Mesh: Accelerating Game Asset Creation via a Semantically-Guided 2D-to-3D Generative Pipeline

Hu, J., Li, J., Wang, Z., Li, Z., Chan, K.-C., Ma, X., Jiang, Z., & Zhang, Y. (2026) · AHFE International

3D Shape Modeling and AnalysisComputer Graphics and Visualization Techniques

Cited by 0

Computational Complexity of Quadratic Unconstrained Binary Optimization

Yasuoka, H. (2021) · arXiv

Complexity and Algorithms in GraphsQuantum Computing Algorithms and Architecture

Cited by 0

LiPCoT: Linear Predictive Coding based Tokenizer for Self-supervised Learning of Time Series Data via Language Models

Anjum, M. F. (2024) · arXiv

Time Series Analysis and ForecastingMachine Learning in Healthcare

Cited by 0

Platonic Representation Hypothesis on World Models

Li, W., MA, C., Xiong, H., Chen, Y.-C., & Zhang, L. (2026) · arXiv

Reinforcement Learning in RoboticsDomain Adaptation and Few-Shot Learning

Cited by 0

Anatomy of Agentic Memory: Taxonomy and Empirical Analysis of Evaluation and System Limitations

Jiang, D., Li, Y., Wei, S., Yang, J., Kishore, A., Zhao, A., Kang, D., Hu, X., Chen, F., Li, Q., et al. (2026) · arXiv

Natural Language Processing TechniquesAI-based Problem Solving and Planning

Cited by 0

Artifacts: When AIOps Become "AI Oops": Subverting LLM-driven IT Operations via Telemetry Manipulation

Pasquini, D., & Efstathopoulos, P. (2025) · Zenodo

Adversarial Robustness in Machine LearningSoftware System Performance and Reliability

Cited by 0

FS-Researcher: Test-Time Scaling for Long-Horizon Research Tasks with File-System-Based Agents

Zhu, C., Xu, B., Du, M., Wang, S., Wang, X., Mao, Z., & Zhang, Y. (2026) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

Harness Engineering for Software Engineering via Modular Executable Dev-Primitives

Jin, H., Li, X., Kuang, P., & Wang, H. (2026) · arXiv

Software Engineering ResearchSoftware Engineering Techniques and Practices

Cited by 0

Measuring all the noises of LLM Evals

Wang, S. I. (2025) · arXiv

Topic ModelingMachine Learning and Data Classification

Cited by 0

EventMemAgent: Hierarchical Event-Centric Memory for Online Video Understanding with Adaptive Tool Use

Wen, S., Wang, Z., Zhang, X., Huang, L., & Wu, W. (2026) · arXiv

Multimodal Machine Learning ApplicationsVideo Analysis and Summarization

Cited by 0

PolicyKG: An Agentic LLM Pipeline for Translating Institutional Policies into SHACL Knowledge Graphs

Kaewsawee, P., Silpasuwanchai, C., & Anutariya, C. (2026) · arXiv

Semantic Web and OntologiesArtificial Intelligence in Law

Cited by 0

ViStoryBench: Comprehensive Benchmark Suite for Story Visualization

Zhuang, C., Huang, A., Hu, Y., Wu, J., Cheng, W., Liao, J., Wang, H., Liao, X., Cai, W., Xu, H., et al. (2025) · arXiv

Generative Adversarial Networks and Image SynthesisMultimodal Machine Learning Applications

Cited by 0

Reimagining Open Source and Openness in AI: Co-Creating Responsible Technological Futures

Smith, G., Patel, H., Luo, S., Bobra, M., Brewer, J., Carson, C., Cruxen, I., Doshi, S., Gahntz, M., Garcia, N., et al. (2026) · Proceedings of the 2026 ACM Conference on Fairness, Accountability, and Transparency

Ethics and Social Impacts of AILaw, AI, and Intellectual Property

Cited by 0

Elicitation or Expansion? Demystifying Gains from Agent Harness Optimization

Kim, Y., Seo, W., Kim, M., Oh, S., Lee, M., Kim, D., Koo, H. I., Kim, J., & Kang, W. (2026) · arXiv

AI-based Problem Solving and PlanningArtificial Intelligence Applications

Cited by 0

Who Grades the Grader? Co-Evolving Evaluation Metrics and Skills for Self-Improving LLM Agents

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

Evolutionary Algorithms and ApplicationsSoftware Engineering Research

Cited by 0

RCR-Router: Efficient Role-Aware Context Routing for Multi-Agent LLM Systems with Structured Memory

Liu, J., Kong, Z., Yang, C., Yang, F., Li, T., Dong, P., Nanjekye, J., Tang, H., Yuan, G., Niu, W., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Self-Correction as Feedback Control: Error Dynamics, Stability Thresholds, and Prompt Interventions in LLMs

Liu, A., & Meng, J. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Rigel3D: Rig-aware Latents for Animation-Ready 3D Asset Generation

Chatzis, N., Loizou, M., & Kalogerakis, E. (2026) · arXiv

3D Shape Modeling and AnalysisGenerative Adversarial Networks and Image Synthesis

Cited by 0

Organize the Web: Constructing Domains Enhances Pre-Training Data Curation

Wettig, A., Lo, K., Min, S., Hajishirzi, H., Chen, D., & Soldaini, L. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Human-Supervised AI Operations Governance and Audit Trail Specification: A Standards-aligned Profile for Accountable Agentic Workflows

Hugel, P. G. (2026) · SSRN Electronic Journal

Ethics and Social Impacts of AIDigitalization, Law, and Regulation

Cited by 0

Collaborative Memory: Multi-User Memory Sharing in LLM Agents with Dynamic Access Control

Rezazadeh, A., Li, Z., Lou, A., Zhao, Y., Wei, W., & Bao, Y. (2025) · arXiv

Access Control and TrustPrivacy-Preserving Technologies in Data

Cited by 0

Freeriding and Rebellion: An Investigation of Open Source Vendor Relicensing and Member Hard Forking Events

Foster, D., & Germonprez, M. (2026) · Information Systems Journal

Open Source Software InnovationsSoftware Engineering Techniques and Practices

Cited by 0