The algebrization barrier, proposed by Aaronson and Wigderson (STOC '08, ToCT '09), captures the limitations of many complexity-theoretic techniques based on arithmetization. Notably, several circuit lower bounds that overcome the relativization barrier (Buhrman–Fortnow–Thierauf, CCC '98; Vinodchandran, TCS '05; Santhanam, STOC '07, SICOMP '09) remain subject to the algebrization barrier. In this work, we establish several new algebrization barriers to circuit lower bounds by studying the communication complexity of the following problem, called XOR-Missing-String: For , Alice gets a list of strings , Bob gets a list of strings , and the goal is to output a string that is not equal to for any . 1. We construct an oracle and its multilinear extension such that has linear-size -oracle circuits on infinitely many input lengths. 2. We construct an oracle and its multilinear extension such that has linear-size -oracle circuits on all input lengths. 3. Finally, we study algebrization barriers to circuit lower bounds for . Buhrman, Fortnow, and Thierauf proved a sub-half-exponential circuit lower bound for via algebrizing techniques. Toward understanding whether the half-exponential bound can be improved, we define a natural subclass of that includes their hard language, and prove the following result: For every super-half-exponential function , we construct an oracle and its multilinear extension such that this natural subclass of has -size -oracle circuits on all input lengths.

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