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2 developments in the corpus
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SEP 9, 2026 · PREPRINT
arXiv
This is a methodological preprint on arXiv describing a machine learning framework for tabular data feature transformation; it has not undergone peer review and presents no clinical data or human studies.
This is a conceptual framework and vision paper proposing a data-centric methodology for agentic AI robustness; it raises structural questions about AI training rather than reporting empirical validation of the proposed approach.