Equation 2 · Training on Your Own Output: Synthetic Data and What It Does to a Distribution
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Read the formula alongside the article passage below. Each part has a deeper page with its role in the equation, the supporting passage and nearby citations.
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Symbol k
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What the article says around this equation
Let be the model fitted at generation k , and the fitting procedure. The classical collapse setting is
Sources cited in the article section
- [2] Is Model Collapse Inevitable? Breaking the Curse of Recursion by Accumulating Real and Synthetic Data ↗
- [1] AI models collapse when trained on recursively generated data ↗
- [5] Position: Model Collapse Does Not Mean What You Think ↗
These citations give research context. Read each source to check which claims it supports.
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