Let count -cliques in a binomial random graph on vertices and count distinct ordered pairs sharing an edge. The clique conflict graph gives : order its vertices randomly and keep each one preceding all its neighbours, then apply the Cauchy-Schwarz inequality. Another application gives . If and is no larger, then . Changing one edge changes by at most one, so the Azuma-Hoeffding inequality for an edge-exposure martingale yields the displayed exponential absence bound. This supports a union bound over exponentially many adaptive candidate subsets.
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