entity · derived
Model collapse
Derived node: assembled mechanically from the claims carrying model-collapse. A roster, not an adjudicated definition.
Every claim under this term
- 5095633-011 : As AI-generated content proliferates online it dilutes the diversity and originality of the text pool available for later training, producing performance degradation across successive model generation
- 7598518-001 : When intelligence models repeatedly learn from data that earlier intelligence models produced, the rare cases disappear first: the unusual facts, minority patterns and edge cases that make data valuab
- 7598518-008 : The design fixes, before any data, the sentences the paper may write for each outcome and the conditions for each, and it bars claims about staking incentives, slashing, collusion, Sybil resistance, d
- 7598518-013 : The study runs fixed-size replacement, the protocol on which collapse was first shown, and includes no accumulation arm, so no result it produces bears on whether a filter adds anything once real data
- 7598518-014 : A filter that claims to address collapse must beat real-data retention, not only unfiltered replacement, because retaining ten percent of the original data slows the damage.
- 7598518-015 : Feng et al. (2025) show that verifier-selected synthetic data can prevent collapse, and the paper concedes the core of that result: verifier selection is an established remedy, and the oracle ceiling
- 7598518-022 : A validity filter judges whether an output is correct rather than whether it is rare, so where rare content is as checkable as common content such a filter can change rare composition only through the