Equation 4 · Part 3 · Training on Your Own Output: Synthetic Data and What It Does to a Distribution
Symbol X_1
What this part means
is an input to the expression that computes the quantity on the left.
Its job in the formula
is an input to the expression that computes the quantity on the left.
Full expression→Symbol X_1→Article meaning
The passage around this formula
Let be the model fitted at generation k , and the fitting procedure. The classical collapse setting is . in which generation k+1 sees n samples drawn from its immediate predecessor and nothing else . The original data are gone. No filter selects among the samples. The lineage is single. Under those conditions, degradation compounds because there is no channel by which an error introduced at generation k can ever be corrected.
Learn the underlying idea
A subscript is a label attached below a symbol. It often selects a time step, component, category, or member of a sequence.
Open the illustrated subscripts: which member of a family? guide →
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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 provide research context; check each source for the exact claim it supports.