Check computer science papers: citations, claims and retractions

Just-in-Time Memory: Learning to Curate Task-Adaptive Memory for LLM Agents

Zhou, Y., Li, Y., Liu, Z. L., Yavuz, S., & Joty, S. (2026) · arXiv

AI-based Problem Solving and PlanningReinforcement Learning in Robotics

Cited by 0

Generation-Time vs. Post-hoc Citation: A Holistic Evaluation of LLM Attribution

Saxena, Y., Bommireddy, R., Padia, A., & Gaur, M. (2025) · arXiv

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

The Illusion of Explanatory Depth in Generative AI: Miscalibration, User Profiles, and the Persistence of Retrieval-Based Mental Models

Alon, L. (2026) · SSRN Electronic Journal

Explainable Artificial Intelligence (XAI)Educational Strategies and Epistemologies

Cited by 0

Safety in Self-Evolving LLM Agent Systems: Threats, Amplification, and Case Studies

Lin, R., Deng, X., Li, Q., Ma, J., Feng, Y., Qing, Y., Li, Z., Zhang, Y., Cui, S., Meng, C., et al. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

My theory

Martinez, M. J. (2026) · Zenodo

Artificial Intelligence ApplicationsCosmology and Gravitation Theories

Cited by 0

GISA: A Benchmark for General Information-Seeking Assistant

Zhu, Y., Zhang, X., Zhang, M., Jin, J., Zhang, L., Song, X., Zhao, K., Zeng, W., Tang, R., Li, H., et al. (2026) · arXiv

Information Retrieval and Search BehaviorWeb Data Mining and Analysis

Cited by 0

Chain-of-Memory: Lightweight Memory Construction with Dynamic Evolution for LLM Agents

Xu, X., Xu, B., Xueyun, T., Huang, Z., Chen, R., Yunfan, L., & Shen, H. (2026) · Proceedings of the 64th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)

Topic ModelingNatural Language Processing Techniques

Cited by 0

From Organizational Knowledge to AI Agent Memory: Empirical Validation of the SECI Model on the LongMemEval Benchmark

Żatuchin, D. (2026) · Research Square (preprint)

Topic ModelingInformation Retrieval and Search Behavior

Cited by 0

EurekAgent: Agent Environment Engineering is All You Need For Autonomous Scientific Discovery

Xin, A., Siow, J., Wang, J., Yao, Z., Zhang, F., Song, J., Hou, L., & Li, J. (2026) · arXiv

Artificial Intelligence ApplicationsAI-based Problem Solving and Planning

Cited by 0

Chapter 8 Italian as heritage language in third generations on social networks: Morphosyntactic code-switching features

Ferrini, C. (2023) · Studies in Italian as a Heritage Language

Digital Communication and LanguageLinguistic and Sociocultural Studies

Cited by 0

Is Your NPU Ready for LLMs? Dissecting the Hidden Efficiency Bottlenecks in Mobile LLM Inference

Cai, G., Tian, R., Yang, L., Ren, Z., Yuan, J., Li, L., & Wang, J. (2026) · arXiv

Parallel Computing and Optimization TechniquesGreen IT and Sustainability

Cited by 0

Architecture Matters for Multi-Agent Security

Hagag, B., Anderson, W. L., de Witt, C. S., & Scheffler, S. (2026) · arXiv

Adversarial Robustness in Machine LearningSecurity and Verification in Computing

Cited by 0

SpaHE-Infil: A spatial heterogeneity framework for decoding TME infiltration from H&E-stained slides

Wang, F., Xu, H., Wang, X., Wu, M., Ding, S., Duan, L., Yang, C., Li, J., Ge, X., Qin, Y., et al. (2026) · iScience

AI in cancer detectionSingle-cell and spatial transcriptomics

Cited by 0

Model equality testing: Which model is this api serving?

Gao, I., Liang, P., & Guestrin, C. (2024) · arXiv

Adversarial Robustness in Machine LearningPrivacy-Preserving Technologies in Data

Cited by 0

Cache-Aware Prompt Compression:A Two-Tier Cost Model for LLM API Caching

Song, Y. (2026) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

Controlling False Positives in Image Segmentation via Conformal Prediction

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

Medical Image Segmentation TechniquesAdvanced Neural Network Applications

Cited by 0

A Survey and Tutorial on Image Quality Assessment with a Contrast-Weighted Structural Similarity Framework

Agaian, S. S., Grigoryan, A. M., & Ayunts, H. (2026) · Information

Image and Video Quality AssessmentImage Retrieval and Classification Techniques

Cited by 0

Starting with AI: First Year Engineering Students Perceptions of Generative Artificial Intelligence

Chaback, B., & Gray, D. (2026) · 2026 ASEE Annual Conference & Exposition Proceedings

Artificial Intelligence in EducationArtificial Intelligence in Healthcare and Education

Cited by 0

Conformity in Large Language Models

Zhu, X., Zhang, C., Stafford, T., Collier, N., & Vlachos, A. (2024) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

xRouter: Training Cost-Aware LLMs Orchestration System via Reinforcement Learning

Qian, C., Liu, Z., Kokane, S., Prabhakar, A., Qiu, J., Chen, H., Liu, Z., Ji, H., Yao, W., Heinecke, S., et al. (2025) · arXiv

Topic ModelingNatural Language Processing Techniques

Cited by 0

VietSuperSpeech: A Large-Scale Vietnamese Conversational Speech Dataset for ASR Fine-Tuning in Chatbot, Customer Support, and Call Center Applications

Do, L., Nguyen, T. N., Pham, T., Do, V., Nguyen, H., & Nguyen, C. (2026) · arXiv

Speech Recognition and SynthesisSpeech and Audio Processing

Cited by 0

A Mathematical Framework for AI Singularity: Conditions, Bounds, and Control of Recursive Improvement

Jafari, A. A., Ozcinar, C., & Anbarjafari, G. (2025) · arXiv

Artificial Intelligence ApplicationsEthics and Social Impacts of AI

Cited by 0

Over-Searching in Search-Augmented Large Language Models

Xie, R., Gopinath, D., Qiu, D., Lin, D., Sun, H., Potdar, S., & Dhingra, B. (2026) · arXiv

Information Retrieval and Search BehaviorTopic Modeling

Cited by 0

Prompt engineering for library agents: development of an AI-based conversational reading recommendation system

Blázquez-Ochando, M., Prieto-Gutierrez, J.-J., & Ovalle-Perandones, M.-A. (2026) · Library Hi Tech

Web and Library ServicesRecommender Systems and Techniques

Cited by 0