[R] Anyone experimenting with heterogeneous (different base LLMs) multi-agent systems for open-ended scientific reasoning or hypothesis generation?

Quick question — has anyone tried multi-agent setups where agents use genuinely different underlying LLMs (not just roles on the same model) for scientific-style open-ended reasoning or hypothesis gen?

Most stuff seems homogeneous. Curious if mixing distinct priors adds anything useful, or if homogeneous still rules.

Pointers to papers/experiments/anecdotes appreciated! Thanks!