This dataset models prompt injection cascades in AI agent systems. It detects when injection pressure rises, safety buffers weaken, governance lag delays containment, and tight coupling through shared context and tool chains crosses the five-node cascade threshold into an unrecoverable injection cascade.
This dataset models a five-node cascade: four interacting instability drivers and one emergent cascade state.The fifth node represents the nonlinear transition… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/ai-5node-prompt-buf-lag-cpl-injection-cascade-v0.1.
