Check computer science papers: citations, claims and retractions

The Surprising Universality of LLM Outputs: A Real-Time Verification Primitive

Bogdan, A., & de Valois-Franklin, A. (2026) · arXiv

Adversarial Robustness in Machine LearningTopic Modeling

Cited by 0

Online Bus Pass Management System

Jonita, M. M. J. S., Dharshini, M. V., & Dharshini, M. V. (2022) · International Journal of Advanced Research in Science, Communication and Technology

Engineering and Information TechnologyTransportation Planning and Optimization

Cited by 0

MS-Eval: Benchmarking Sub-Agent Delegation and Orchestration in MCP-Intensive Working Scenarios

Ding, B., Wang, Q., Ruan, L., Lu, W., Ge, Q., Fang, R., & Lin, T. (2026) · arXiv

Artificial Intelligence ApplicationsNatural Language Processing Techniques

Cited by 0

A Survey of On-Policy Distillation for Large Language Models

Song, M., & Zheng, M. (2026) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Learning from Peers in Reasoning Models

Luo, T., Du, W., Bi, J., Chung, S., Tang, Z., Yang, H., Zhang, M., & Wang, B. (2025) · arXiv

Topic ModelingMathematics Education and Pedagogy

Cited by 0

Model-Adaptive Tool Necessity Reveals the Knowing-Doing Gap in LLM Tool Use

Cheng, Y., Fan, C., JafariRaviz, M., Rezaei, K., & Feizi, S. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Associative Recurrent Memory Transformer

Rodkin, I., Kuratov, Y., Bulatov, A., & Burtsev, M. (2024) · arXiv

Topic ModelingMultimodal Machine Learning Applications

Cited by 0

String variables

Miller, J. (1985) · Beginning BASIC with the ZX Spectrum

Teaching and Learning ProgrammingEngineering and Information Technology

Cited by 0

Secure Image Processing Pipelines for Evidence-validated Media, with ROI-constrained Planning, Reproducible Execution, and Digitally Signed Evidence Packaging

Hameed, N. A. (2026) · International Journal of Intelligent Engineering and Systems

Digital Media Forensic DetectionDigital and Cyber Forensics

Cited by 0

QuietPrint: Protecting 3D Printers Against Acoustic Side-Channel Attacks

Ghazi Asgar, S. A., & Reddy, N. (2026) · Proceedings of the 12th ACM Cyber-Physical System Security Workshop

Physical Unclonable Functions (PUFs) and Hardware SecuritySecurity and Verification in Computing

Cited by 0

Demonstrating Social Error Recovery with AgentFactory

Ross, R., Collier, R., & O'Hare, G. M. P. (2004) · International Joint Conference on Autonomous Agents and Multiagent Systems

Multi-Agent Systems and NegotiationAdvanced Software Engineering Methodologies

Cited by 0

IID-Based QPP-RNG: A Random Number Generator Utilizing Random Permutation Sorting Driven by System Jitter

Kuang, R., & Lou, D. (2025) · arXiv

Cryptographic Implementations and SecurityQuantum Information and Cryptography

Cited by 0

ATLAS: Learning to Optimally Memorize the Context at Test Time

Behrouz, A., Li, Z., Kacham, P., Daliri, M., Deng, Y., Zhong, P., Razaviyayn, M., & Mirrokni, V. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

On the generalization of language models from in-context learning and finetuning: a controlled study

Lampinen, A. K., Chaudhry, A., Chan, S. C. Y., Wild, C., Wan, D., Ku, A., Bornschein, J., Pascanu, R., Shanahan, M., & McClelland, J. L. (2025) · arXiv

Topic ModelingDomain Adaptation and Few-Shot Learning

Cited by 0

Tik-to-Tok: Translating Language Models One Token at a Time: An Embedding Initialization Strategy for Efficient Language Adaptation

Remy, F., Delobelle, P., Berendt, B., Demuynck, K., & Demeester, T. (2023) · arXiv

Natural Language Processing TechniquesTopic Modeling

Cited by 0

Lost in Benchmarks? Rethinking Large Language Model Benchmarking with Item Response Theory

Zhou, H., Huang, H., Zhao, Z., Han, L., Wang, H., Chen, K., Yang, M., Bao, W., Dong, J., Xu, B., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

DIAGNOSIS: Detecting Unauthorized Data Usages in Text-to-image Diffusion Models

Wang, Z., Chen, C., Lyu, L., Metaxas, D. N., & Ma, S. (2023) · arXiv

Digital Media Forensic DetectionAdversarial Robustness in Machine Learning

Cited by 0

When Average Calibration Fails: Site-Conditional Federated Conformal Risk Control

Shahid, N. F. (2026) · arXiv

Privacy-Preserving Technologies in DataMachine Learning in Healthcare

Cited by 0

Longhorn: State Space Models are Amortized Online Learners

Liu, B., Wang, R., Wu, L., Feng, Y., Stone, P., & Liu, Q. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Agent Skills in the Wild: An Empirical Study of Security Vulnerabilities at Scale

Liu, Y., Wang, W., Feng, R., Zhang, Y., Xu, G., Deng, G., Li, Y., & Zhang, L. (2026) · arXiv

Security and Verification in ComputingAdversarial Robustness in Machine Learning

Cited by 0

AutoSaddler: Automatic Harness Optimization with Durable Updates from Agent Execution Traces

Park, S., Kim, W., Tan, R., Zhang, J., Han, W.-S., Gao, P., Park, C., Yao, Y., Fu, R., Nallipogu, E., et al. (2026) · arXiv

Software Testing and Debugging TechniquesSoftware Engineering Research

Cited by 0

Enrich-Retrieve-Rank: Scaling Capability Discovery Beyond In-Context Routing

Sorathiya, N., Zhang, D., & Akhbari, B. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

MoCHA-former: Moiré-Conditioned Hybrid Adaptive Transformer for Video Demoiréing

Sung, J., Roh, C., Eom, C., & Oh, J. (2026) · Neurocomputing

Advanced Image Processing TechniquesImage Enhancement Techniques

Cited by 0

Evaluating Control Protocols for Untrusted AI Agents

Kutasov, J., Loughridge, C., Sun, Y., Sleight, H., Shlegeris, B., Tracy, T., & Benton, J. (2025) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0