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This critical narrative review examines how large language models and transformer-based systems are reshaping hadith computational science, highlighting progress in data resources and segmentation tasks while identifying gaps in narrator verification and reproducibility, and proposing a research agenda for methodological strengthening.
This paper critically reviews hadith computational science in the era of large language models, highlighting progress, gaps in methodology, and proposing a research agenda to enhance evidence infrastructure for Islamic scholarship.