IWTUB (Independent, Well-Trained, Uniformly Biased set)

Coinage from Lefort et al. (arXiv:2409.00094, 2024), naming the ideal condition an ensemble of classifiers needs to meet for the Condorcet Jury Theorem's accuracy guarantee to hold — voters that are independent of each other, individually well-trained, and uniformly biased. First encountered in this vault 2026-08-02, in the same capture that produced claim-lefort-2024-llm-ensembling-marginal-gains-non-independent-errors; the term extends the classical two-outcome jury theorem toward multi-class classification. Unexplored beyond the one paper it comes from — stamped here as a watching stub rather than a hub, per the entity-page spec's "don't wait" rule for emerging terms.