SubQuad reports near-subquadratic immune-repertoire analysis with fairness-aware clustering, but its central performance and coverage claims are not supported by reproducible artifacts.
Fairness-enhancing mixed effects deep learning improves fairness on in-and out-of-distribution clustered (non-iid) data
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SubQuad: Near-Quadratic-Free Structure Inference with Distribution-Balanced Objectives in Adaptive Receptor framework
SubQuad reports near-subquadratic immune-repertoire analysis with fairness-aware clustering, but its central performance and coverage claims are not supported by reproducible artifacts.