# Understanding Model Collapse

Model collapse arises when a generative system repeatedly references its own outputs, narrowing diversity over time (Shumailov et al., 2024). Single-model frameworks try to mitigate this by injecting “fresh data” or user-provided entropy (Yu & GPT-o12, 2024).


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