Sharp Design Thresholds for Identifying Heterogeneous Bernoulli–Logit Sources under Unknown Additive Noise

It gives sharp bounds on the number of experimental settings, using either a bound on rate diversity or a bound on the number of components. It also classifies exceptional four-setting designs for common-rate models with at most seven components and treats additional nuisance distributions with zero-free entire characteristic functions.</p><p dir="ltr"><br></p><p dir="ltr">The deposit includes the manuscript PDF, LaTeX source, and Python verification scripts with reference results.

The scripts use exact arithmetic to check finite identities and explicit examples. The general mathematical proofs appear in the manuscript.</p>