NCG grows model capacity only when novelty detectors identify genuinely new data, with meta-parameters controlling growth behavior.
Results show strong forgetting reductions on Split-MNIST and Split-CIFAR-10, with transparent reporting of optimization limitations.
The release aligns code, documentation, and research artifacts to support reproducible evaluation.