Scaling In, Not Up? Supplementary Material

This dataset contains the supplementary materials for the paper “Scaling In, Not Up? Testing Thick Citation Context Analysis with GPT-5 and Fragile Prompts,” available at https://arxiv.org/abs/2602.22359 and forthcoming as a chapter in: Simons A, Wüthrich A, Zichert M, et al. (eds) (2026) Understanding Science with Large Language Models? Potentials for the History, Philosophy, and Sociology of Science. Bielefeld: transcript. Available at: https://www.transcript-publishing.com/978-3-8376-7994-6/understanding-science-with-large-language-models. The files include materials used in the preparation, analysis, and documentation of the study. The supplementary sections referenced in the paper are contained in Supplementary-Sections.pdf.