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Wikipedia Contributions in the Wake of ChatGPT

Lyu, L., Siderius, J., Li, H., Acemoglu, D., Huttenlocher, D., & Ozdaglar, A. (2025) · arXiv

High-resolution canopy height map in the Landes forest (France) based on GEDI, Sentinel-1, and Sentinel-2 data with a deep learning approach

Schwartz, M., Ciais, P., Ottlé, C., De Truchis, A., Vega, C., Fayad, I., Brandt, M., Fensholt, R., Baghdadi, N., Morneau, F., et al. (2022) · arXiv

Towards Efficient Neurally-Guided Program Induction for ARC-AGI

Ouellette, S. (2024) · arXiv

Quantifying Generalization in Reinforcement Learning

Cobbe, K., Klimov, O., Hesse, C., Kim, T., & Schulman, J. (2018) · arXiv

The Outlook for Financial Literacy

Lusardi, A., & Mitchell, O. S. (2010)

Gradient Routing: Masking Gradients to Localize Computation in Neural Networks

Cloud, A., Goldman-Wetzler, J., Wybitul, E., Miller, J., & Turner, A. M. (2024) · arXiv

Radiology Report Expert Evaluation (ReXVal) Dataset

Yu, F., Endo, M., Krishnan, R., Pan, I., Tsai, A., Reis, E. P., Kaiser Ururahy Nunes Fonseca, E., Lee, H., Shakeri, Z., Ng, A., et al. (2023) · PhysioNet

External Data Extraction Attacks against Retrieval-Augmented Large Language Models

He, Y., Chen, Y., Li, Y., Shao, S., Qi, L., Li, B., Tao, D., & Qin, Z. (2025) · arXiv

Large Language Models as Automatic Annotators and Annotation Adjudicators for Fine-Grained Opinion Analysis

Negi, G., Waskow, M., McCrae, J., Zayed, O., & Buitelaar, P. (2026) · arXiv

Nonnegative Decomposition of Multivariate Information

Williams, P. L., & Beer, R. D. (2010) · arXiv

Fisher-Informational Time: A Causal-Geometric Framework for Emergent Clock Time Physical Distinguishability

Sumaya-Martinez, J. (2026) · arXiv

The prevalence of psychological distress by cancer site

Zabora, J., BrintzenhofeSzoc, K., Curbow, B., Hooker, C., & Piantadosi, S. (2001) · Psycho-Oncology

The Concept of Formative Assessment

Boston, C. (2002) · University of Massachusetts Amherst

Distributed Weight Consolidation: A Brain Segmentation Case Study

McClure, P., Zheng, C. Y., Kaczmarzyk, J. R., Lee, J. A., Ghosh, S. S., Nielson, D., Bandettini, P., & Pereira, F. (2018) · arXiv

Type-Constrained Code Generation with Language Models

Mündler, N., He, J., Wang, H., Sen, K., Song, D., & Vechev, M. (2025) · arXiv

Scaling up test-time compute with latent reasoning: A recurrent depth approach

Geiping, J., McLeish, S., Jain, N., Kirchenbauer, J., Singh, S., Bartoldson, B. R., Kailkhura, B., Bhatele, A., & Goldstein, T. (2025) · arXiv

Solving Label Variation in Scientific Information Extraction via Multi-Task Learning

Pham, D., Ho, X., Ha, Q.-T., & Aizawa, A. (2023) · arXiv

Using qualitative methods in intervention studies

Sandelowski, M. (1996) · Research in Nursing & Health

How Far Must a Test Explore? Certifying Composable Read-Write Interfaces from Their Own Random Edits

Guo, J., Ren, X., Yang, J., Sun, Y., & Yang, H. (2026) · arXiv

Ehlers-Danlos syndromes: Revised nosology, Villefranche, 1997

Beighton, P., Paepe, A. D., Steinmann, B., Tsipouras, P., & Wenstrup, R. J. (1998) · American Journal of Medical Genetics

Metadata for all DOIs in Crossref: JSON MongoDB exports of all works from the Crossref API

Himmelstein, D., Wheeler, K., & Greene, C. (2017) · figshare

Making 'race' at the urban margins : Latin American and Caribbean migration in multicultural Chile

Bonhomme, M. (2022) · Goldsmiths, University of London

Human Trust in AI Search: A Large-Scale Experiment

Li, H., & Aral, S. (2025) · arXiv

High carbon stock mapping at large scale with optical satellite imagery and spaceborne LIDAR

Lang, N., Schindler, K., & Wegner, J. D. (2021) · arXiv