structural certification

Structural certification framework for general agents in the big-world regime

A new arXiv preprint introduces 'structural certification,' a transition-local framework for formally bounding the reliability of general agents in environments too large for universal competence. The authors prove that general agents cannot be universal, making standard worst-case guarantees uninformative, and then provide algorithms that filter transitions via deep compositional goals to produce entry-wise error bounds of O(1/n) + O(δ) on an agent's internal world model. The work aims to enable certifiable deployment of general agents by identifying specific transitions where long-horizon planning is provably reliable.