Multiple foundational and recent studies in population genetics confirm that diffusion approximations are widely used mathematical models for analyzing random genetic drift and allele frequency distributions.
Papers 0, 2, 3, 6, and 9 explicitly discuss or utilize diffusion approximations as core mathematical models for representing genetic drift in population genetics. No papers contradict this premise. Papers 1, 4, 5, 7, 8, 10, and 11 are off-topic or concern unrelated domains (such as machine learning diffusion models, remote sensing, clinical prostate cancer markers, or power forecasting).