This dataset models model version conflict cascades during AI rollouts. It detects when version pressure rises, buffers weaken due to mixed routing and missing compatibility checks, governance lag delays rollback, and tight coupling through shared tools and embeddings propagates incompatibilities across products, crossing the five-node cascade threshold into an unrecoverable model version conflict cascade.
This dataset models a five-node cascade: four interacting… See the full description on the dataset page:
https://huggingface.co/datasets/ClarusC64/ai-5node-model-buf-lag-cpl-model-version-conflict-v0.1.
