In 1982, while studying the component sizes of random subgraphs of a hypercube, Ajtai, Komlós, and Szemerédi introduced a technique that came to be known as *sprinkling*. In this technique, the edges of the random graph are exposed in rounds. To explain it, suppose that each edge $e$ is independently assigned a random Uniform$[0,1]$ variable $U_e$. Eventually, all edges with $U_e \leq p$ will be included in the graph. In the first round, however, for some subset of the edges, we only check whether $U_e \leq p-\epsilon$. In the second round, for the remaining edges for which we know $U_e > p-\epsilon$, we check whether $U_e \leq p$. (The last few edges are the ones being "sprinkled" on at the end.) The idea is that this additional, last-minute randomization can be used to ensure (or at least make it very likely) that some desirable graph property holds. A similar technique has also been used by percolation theorists.

Has the technique of sprinkling been used in the study of random Bernoulli matrices? Can you give me references?