We study asymptotics of -distributed random lozenge tilings of sawtooth domains (equivalently, of random interlacing integer arrays with fixed top row). Under the distribution we consider each tiling is weighted proportionally to , where is the volume under the corresponding 3D stepped surface. We prove the following Interlacing Central Limit Theorem: as , the domain gets large, and the fixed top row approximates a given nonrandom profile, the vertical lozenges are distributed as the eigenvalues of a GUE random matrix and of its successive principal corners. Our results extend the GUE corners asymptotics for tilings of bounded polygonal domains previously known in the uniform (i.e., ) case. Even though goes to , the presence of the -weighting affects non-universal constants in our Central Limit Theorem.

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