Check a paper's citations and claims before you cite it.

Heterogeneity of multiple sclerosis lesions: implications for the pathogenesis of demyelination

Lucchinetti, C., Br�ck, W., Parisi, J., Scheithauer, B., Rodriguez, M., & Lassmann, H. (2000) · Annals of Neurology

MS-YOLO: Infrared Object Detection for Edge Deployment via MobileNetV4 and SlideLoss

Zhang, J., White, T. S., Zhang, H., Hu, W., Wunsch, D. C., & Liu, J. (2025) · arXiv

Sentiment Analysis in the Era of Large Language Models: A Reality Check

Zhang, W., Deng, Y., Liu, B., Pan, S. J., & Bing, L. (2023) · arXiv

H-ARC: A Robust Estimate of Human Performance on the Abstraction and Reasoning Corpus Benchmark

LeGris, S., Vong, W. K., Lake, B. M., & Gureckis, T. M. (2024) · arXiv

Evaluating Language Models for Mathematics through Interactions

Collins, K. M., Jiang, A. Q., Frieder, S., Wong, L., Zilka, M., Bhatt, U., Lukasiewicz, T., Wu, Y., Tenenbaum, J. B., Hart, W., et al. (2023) · arXiv

An Exact Apéry Limit for the AESZ 182 Calabi–Yau Recurrence

Shvets, A. (2026) · Zenodo

Seeing through randomness with topological light

Peters, C., Everts, K., Kleine, T., Ornelas, P., & Forbes, A. (2025) · arXiv

An In-Context Learning Agent for Formal Theorem-Proving

Thakur, A., Tsoukalas, G., Wen, Y., Xin, J., & Chaudhuri, S. (2023) · arXiv

Dataset of first appearances of the scholarly bibliographic references on English Wikipedia articles as of 1 March 2017 and as of 1 October 2021

Kikkawa, J., Takaku, M., & Yoshikane, F. (2021) · Zenodo

M3Exam: A Multilingual, Multimodal, Multilevel Benchmark for Examining Large Language Models

Zhang, W., Aljunied, S. M., Gao, C., Chia, Y. K., & Bing, L. (2023) · arXiv

Remember Me, Refine Me: A Dynamic Procedural Memory Framework for Experience-Driven Agent Evolution

Cao, Z., Deng, J., Yu, L., Zhou, W., Liu, Z., Ding, B., & Zhao, H. (2025) · arXiv

Non-Hermitian Topological Theory of Finite-Lifetime Quasiparticles: Prediction of Bulk Fermi Arc Due to Exceptional Point

Kozii, V., & Fu, L. (2017) · arXiv

World Models Dream of Success: Diagnosing and Repairing Failure Insensitivity in Robot World Models

Xu, J., Hu, X., Chen, M., Gao, P., Ye, Y., & Shi, Y. (2026) · arXiv

Can Large Language Models Self-Correct in Medical Question Answering? An Exploratory Study

Zhan, Z., Cui, M., & Zhang, R. (2026) · arXiv

A Transformer-Based Approach for Smart Invocation of Automatic Code Completion

de Moor, A., van Deursen, A., & Izadi, M. (2024) · arXiv

Pericyte-derived fibrotic scarring is conserved across diverse central nervous system lesions.

Dias, D. O., Kalkitsas, J., Kelahmetoglu, Y., Estrada, C. P., Tatarishvili, J., Ernst, A., Huttner, H. B., Kokaia, Z., Lindvall, O., Brundin, L., et al. (2020) · bioRxiv (Cold Spring Harbor Laboratory)

Quantitative Calibration of a Spatial QSP Model Identifies Fibroblast Impact on HCC Immunotherapy

Zhang, S., Wang, H., Cho, Y., Wong, W., Yarchoan, M., Jaffee, E. M., Ho, W. J., Kagohara, L. T., Fertig, E. J., Popel, A. S., et al. (2025)

The relationship of self-efficacy and depression to stuttering

Bray, M. A., Kehle, T. J., Lawless, K. A., & Theodore, L. A. (2003) · American Journal of Speech-Language Pathology

Morphological pseudotime ordering and fate mapping reveals diversification of cerebellar inhibitory interneurons

Wang, W. X., & Lefebvre, J. L. (2020)

Absenteeism rates in students receiving services for CDs, LDs, and EDs: a macroscopic view of the consequences of disability

Redmond, S. M., & Hosp, J. L. (2008) · Language, Speech, and Hearing Services in Schools

Internet-Based Cognitive—Behavioral Self-Help Treatment of Tinnitus

Kaldo-Sandström, V., Larsen, H. C., & Andersson, G. (2004) · American Journal of Audiology

NATURAL PLAN: Benchmarking LLMs on Natural Language Planning

Zheng, H. S., Mishra, S., Zhang, H., Chen, X., Chen, M., Nova, A., Hou, L., Cheng, H.-T., Le, Q. V., Chi, E. H., et al. (2024) · arXiv

CORD-19: The COVID-19 Open Research Dataset

Wang, L. L., Lo, K., Chandrasekhar, Y., Reas, R., Yang, J., Burdick, D., Eide, D., Funk, K., Katsis, Y., Kinney, R., et al. (2020) · arXiv

OpenChat: Advancing Open-source Language Models with Mixed-Quality Data

Wang, G., Cheng, S., Zhan, X., Li, X., Song, S., & Liu, Y. (2023) · arXiv