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

LAraBench: Benchmarking Arabic AI with Large Language Models

Abdelali, A., Mubarak, H., Chowdhury, S. A., Hasanain, M., Mousi, B., Boughorbel, S., Kheir, Y. E., Izham, D., Dalvi, F., Hawasly, M., et al. (2023) · arXiv

Generative AI in Game Development: A Qualitative Research Synthesis

Ternar, A., Denisova, A., Cunha, J. M., Kultima, A., & Guckelsberger, C. (2025) · arXiv

Charles Dickens and the Critique of Victorian Society: Literature as a Catalyst for Social Reform

Padra, D. B. (2024) · The Criterion

The ICF

Eadie, T. L. (2003) · American Journal of Speech-Language Pathology

Fairness in Serving Large Language Models

Sheng, Y., Cao, S., Li, D., Zhu, B., Li, Z., Zhuo, D., Gonzalez, J. E., & Stoica, I. (2024) · arXiv

Towards a Framework for Assessing the Impact of Cadastral Development on Land Rights-Holders

Hull, S., & Whittal, J. (2016) · figshare

Ai2 Scholar QA: Organized Literature Synthesis with Attribution

Singh, A., Chang, J. C., Anastasiades, C., Haddad, D., Naik, A., Tanaka, A., Zamarron, A., Nguyen, C., Hwang, J. D., Dunkleberger, J., et al. (2025) · arXiv

WildClawBench: A Benchmark for Real-World, Long-Horizon Agent Evaluation

Ding, S., Dai, X., Xing, L., Ding, S., Liu, Z., JingYi, Y., Yang, P., Zhang, Z., Wei, X., Fang, X., et al. (2026) · arXiv

Sampling of Structure and Sequence Space of Small Protein Folds

Linsky, T., Noble, K., Tobin, A., Crow, R., Carter, L., Urbauer, J., Baker, D., & Strauch, E. (2021)

LabQAR (Lab oratory Q uestion A nswering with R eference Ranges) Data Set

bhasuran, B., & He, Z. (2026) · figshare

Assessment of Cd, Cr and Pb Pollution in Sediment and Water of Gheshlagh River, Iran, in September 2013

Majnoni, F., Alipour, H., Hassanpour, M., Banagar, G., & Ajorlo, M. (2015) · Unpublished

Retrieval-Augmented Generation with Conflicting Evidence

Wang, H., Prasad, A., Stengel-Eskin, E., & Bansal, M. (2025) · arXiv

Replication data for: What Can Machines Learn, and What Does It Mean for Occupations and the Economy?

Brynjolfsson, E., Mitchell, T., & Rock, D. (2018) · ICPSR - Interuniversity Consortium for Political and Social Research

Fredholm Operators and Spectral Flow

Waterstraat, N. (2016) · arXiv

Self-supervised Learning for Human Activity Recognition Using 700,000 Person-days of Wearable Data

Yuan, H., Chan, S., Creagh, A. P., Tong, C., Acquah, A., Clifton, D. A., & Doherty, A. (2022) · arXiv

Code-DKT: A Code-based Knowledge Tracing Model for Programming Tasks

Shi, Y., Chi, M., Barnes, T., & Price, T. (2022) · arXiv

Intercellular signaling dynamics from a single cell atlas of the biomaterials response

Cherry, C., Maestas, D. R., Han, J., Andorko, J. I., Cahan, P., Fertig, E. J., Garmire, L. X., & Elisseeff, J. H. (2020)

MAS-GPT: Training LLMs to Build LLM-based Multi-Agent Systems

Ye, R., Tang, S., Ge, R., Du, Y., Yin, Z., Chen, S., & Shao, J. (2025) · arXiv

Subliminal Learning: Language models transmit behavioral traits via hidden signals in data

Cloud, A., Le, M., Chua, J., Betley, J., Sztyber-Betley, A., Hilton, J., Marks, S., & Evans, O. (2025) · arXiv

Agentic Retrieval-Augmented Generation for Time Series Analysis

Ravuru, C., Sakhinana, S. S., & Runkana, V. (2024) · arXiv

2. Vouloir pour la nature. La représentation juridique des entités naturelles

Brunet, P. (2019) · GISI - UniTO

Islands in between : prehistory of the northeastern Indonesian archipelago

Tanudirjo, D. A. (2001) · The Australian National University

READU: Inconsistency-Driven Just-in-Time Detection and Repair of README Bugs

Baek, D., Krampf, K., & Pradel, M. (2026) · arXiv

Editable Neural Networks

Sinitsin, A., Plokhotnyuk, V., Pyrkin, D., Popov, S., & Babenko, A. (2020) · arXiv