Check computer science papers: citations, claims and retractions

Symmetry-Aware Knowledge Graph Compression for LLM Grounding via Symbolic Retrieval

Prakash, V., & Dontabhaktuni, J. (2026) · SSRN Electronic Journal

Advanced Graph Neural NetworksGraph Theory and Algorithms

Cited by 0

Multidimensional sort of lists in mobile devices

Panizzi, E., & Marzo, G. (2014) · Proceedings of the 2014 International Working Conference on Advanced Visual Interfaces

Usability and User Interface DesignInteractive and Immersive Displays

Cited by 0

On The Statistical Limits of Self-Improving Agents

Wang, C. L., Dorchen, K., & Jin, P. (2025) · arXiv

Machine Learning and AlgorithmsReinforcement Learning in Robotics

Cited by 0

Critique-GRPO: Advancing LLM Reasoning with Natural Language and Numerical Feedback

Zhang, X., Zhang, Y., Sun, H., Feng, K., Lu, C., Yang, C., & Meng, H. (2025) · arXiv

Topic ModelingReinforcement Learning in Robotics

Cited by 0

Engineering student perceptions of generative AI use in learning trust judgment and information seeking

Mohammed, Y., Qandil, H., & Lund, B. (2026) · Discover Artificial Intelligence

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Scaling Test-Time Compute for Agentic Coding

Kim, J., Yang, W., Niu, K., Zhang, H., Zhu, Y., Helenowski, E., Silva, R., Chen, Z., Iyer, S., Zaheer, M., et al. (2026) · arXiv

Software Engineering ResearchAI-based Problem Solving and Planning

Cited by 0

AgentHeal: Evaluating Goal-Preserving Resource Recovery of Web Agents under Access Barriers

Liu, Z., Du, H., Sun, H., & Tan, H. (2026) · arXiv

Web Data Mining and AnalysisInformation Retrieval and Search Behavior

Cited by 0

DTRec: Learning Dynamic Reasoning Trajectories for Sequential Recommendation

Shao, Y., Zhou, P., Wang, S., Zhang, W., Kim, S., & Cai, X. (2026) · Proceedings of the ACM Web Conference 2026

Recommender Systems and TechniquesInformation Retrieval and Search Behavior

Cited by 0

The Dirac Information Carrier for Relativistic Quantum Computation

Sanders, B. C. (2026) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 0

xKV: Cross-Layer KV-Cache Compression via Aligned Singular Vector Extraction

Chang, C.-C., Lin, W.-C., Lin, C.-Y., Chiang, H.-Y., Akhauri, Y., Dai, X., Jiang, H., Li, Y., Ceze, L., Wu, K.-C., et al. (2025) · arXiv

Topic ModelingAdvanced Neural Network Applications

Cited by 0

VIGIL: Defending LLM Agents Against Tool Stream Injection via Verify-Before-Commit

Lin, J., Zhou, Z., Zheng, Z., Liu, S., Xu, T., Chen, Y., & Chen, E. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

CROP: Token-Efficient Reasoning in Large Language Models via Regularized Prompt Optimization

Shah, D., Badhe, S., Kathrotia, N., & Tiwari, P. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

MemRefine: LLM-Guided Compression for Long-Term Agent Memory

Kim, M., Baek, J., Jeong, S., & Hwang, S. J. (2026) · arXiv

Speech and dialogue systemsAI-based Problem Solving and Planning

Cited by 0

MemoryBench: A Benchmark for Memory and Continual Learning in LLM Systems

Ai, Q., Tang, Y., Wang, C., Long, J., Su, W., & Liu, Y. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

RefineCoder: Iterative Improving of Large Language Models via Adaptive Critique Refinement for Code Generation

Zhou, C., Zhang, X., Song, D., Chen, X., Gu, W., Ma, H., Tian, Y., Zhang, M., & Hu, L. (2025) · arXiv

Software Engineering ResearchTopic Modeling

Cited by 0

The Third Library and the Commons

Day, F., Johnson, A., Johnston, C., Maclachlan, J., Ranganath, A., Reeves Eyre, J., Smith, S., & Williford, C. (2022) · Council on Library and Information Resources

Library Science and InformationLibrary Science and Administration

Cited by 0

Realization of a Quantum Streaming Algorithm on Long-lived Trapped-ion Qubits

Niroula, P., Chakrabarti, S., Kordonowy, S., Kumar, N., Omanakuttan, S., Perlin, M. A., Allman, M. S., Campora, J. P., Chernoguzov, A., Cooper, S. F., et al. (2025) · arXiv

Quantum Computing Algorithms and ArchitectureQuantum Information and Cryptography

Cited by 0

Efficient LLM Serving for Agentic Workflows: A Data Systems Perspective

Wadlom, N., Shen, J., & Lu, Y. (2026) · Proceedings of the ACM on Management of Data

Advanced Database Systems and QueriesNatural Language Processing Techniques

Cited by 0

JudgeMoE: Distributional Aggregation for LLM-as-a-Judge

Liu, Y., James, J., Wang, Y., Zhao, K., Xiao, C., & Lin, C. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Logits Replay + MoClip: Stabilized, Low-Cost Post-Training with Minimal Forgetting

Qiu, S., Li, J., Zhou, Z., Huang, J., Qiu, L., & Sun, Z. (2025) · arXiv

Domain Adaptation and Few-Shot LearningTopic Modeling

Cited by 0

Attesting Outputs and Delegation Ancestry in Multi-Agent AI Systems

Liu, L., & Yu, H. (2026) · arXiv

Blockchain Technology Applications and SecurityCryptography and Data Security

Cited by 0

Locality-aware Fair Scheduling in LLM Serving

Cao, S., Wang, Y., Mao, Z., Hsu, P.-L., Yin, L., Xia, T., Li, D., Liu, S., Zhang, Y., Zhou, Y., et al. (2025) · arXiv

Cloud Computing and Resource ManagementDistributed and Parallel Computing Systems

Cited by 0

Are Retrials All You Need? Enhancing Large Language Model Reasoning Without Verbalized Feedback

Potamitis, N., & Arora, A. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Parameterized quantum random number generators for superconducting quantum hardware: novel architectures and NIST SP 800-22 evaluation under IBM noisy simulators

Salehi, R., Malik, A. W., Novotny, M. A., & Khan, S. U. (2026) · Scientific Reports

Quantum Computing Algorithms and ArchitectureChaos-based Image/Signal Encryption

Cited by 0