A new research paper proposes a diagnostic suite called Depth Control Protocol (DCP) to evaluate the utilization of depth in recursive language models. The DCP aims to disentangle the effects of depth truncation on model quality, computation volume, and the readout head. This is relevant to people building or operating AI agents as it provides a more accurate way to evaluate the performance of deep language models.