This dataset models reward and proxy drift in AI systems. It detects when drift pressure, weakened safety buffer, governance lag in audits and exception handling, and tight coupling across agents and deployments cross the five-node cascade threshold into an unrecoverable reward drift cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition from… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/ai-5node-drift-buf-lag-cpl-reward-drift-v0.1.
