I suspect this happened because most of the pre-training corpus was pretty-printed JSON, and the LLM was forced to derail from likely path and also lost all "visual cues" of nesting depth.

This might happen here too, but maybe to a lesser extent. Anyways, I'll stop building castles in the air now and try it sometime.