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Exploratory computational study comparing optimizer scaling behaviour across training horizons; no clinical or established-field endpoints, no peer review, and findings are algorithmic rather than validated against independent data or clinical outcomes.
This is a theoretical and methodological paper proposing epiplexity as a signal for data selection and generation, with supporting computational experiments but no clinical or real-world validation evidence.