Inference Headroom Ratio: A Diagnostic and Control Framework for Inference Stability Under Constraint

This research introduces the Inference Headroom Ratio (IHR), a dimensionless diagnostic quantity for characterizing inference stability in constrained AI decision systems. It demonstrates that IHR functions as a quantifiable risk indicator, a sensitive indicator of proximity to stability boundaries, and a viable control variable to reduce system collapse rates.