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This article proposes a new framework for creating dynamic and reproducible scientific articles in STEM, suggesting implications for publishing.
This article argues that STEM publishing needs to move beyond static, prose-centered formats such as APA-7 toward a more robust model for communicating technical, computational, and evidence-driven research. It proposes the Evergreen STEM Article Framework (ESAF), which integrates numeric citation systems, LaTeX/Quarto authoring, reproducible workflows, FAIR data and software practices, crosslinked article graphs, claim-level evidence tracking, version histories, and machine-readable metadata. The result is a forward-looking model of the scientific article as a readable paper, reproducible research object, navigable knowledge graph, and governed evolving record that can support corrections, refinements, and changes in scientific consensus over time.
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Alfredo Sepulveda-Jimenez (2026) studied this question.
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