Recursive Oversight Decomposition: Domain-Specific Validation in Post-AGI Science

As AGI evolves into a pervasive tool for automated discovery, the scientific process shifts from human generation to human validation. However, current oversight frameworks like Iterated Distillation and Amplification (IDA) are designed for verifiable tasks, not open-ended scientific claims. We propose Recursive Oversight Decomposition (ROD), a framework designed to ensure trust in post-AGI science. ROD addresses the unique failure modes of automated discovery—such as hidden assumptions and brittleness—by enforcing "Scientific Completeness" criteria explicitly. We introduce ensemble decomposition to mitigate model bias and propose experiments to test this infrastructure in formal mathematics and biology. By transferring oversight from final outputs to the decomposition of evidence, ROD provides a concrete mechanism for meaningful human-AI collaboration, ensuring that superhuman capabilities remain tethered to human-verifiable validity.