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A uniform k -DAG generalizes the uniform random recursive tree by picking k parents uniformly at random from the existing nodes. It starts with k “roots”. Each of the k roots is assigned a bit. These bits are propagated by a noisy channel. The parents’ bits are flipped with probability p , and a majority vote is taken. When all nodes have received their bits, the k -DAG is shown without identifying the roots. The goal is to estimate the majority bit among the roots. We identify the threshold for p as a function of k below which the majority rule among all nodes yields an error c + o (1) with c < 1/2. Above the threshold the majority rule errs with probability 1/2 + o (1).
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Briend et al. (2025) studied this question.
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