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This work introduces the first continual learning framework for IFL and establishes a comprehensive benchmark under two realistic data-evolution protocols: cross-dataset and cross-content continual learning.
CLRC provides a common audit schema for probabilistic and decision-aware governance of multimedia generation systems by formalizing governance-relevant concept behaviors as Bernoulli semantic events induced by stochastic generation and defining a Concept Risk Operator.
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