kaal:claim:7598518-013

Claim. 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 accumulates.

Type. condition · Support. stated

Holds when

• Applies to the replacement regime only.
• The distinction matters because accumulating real and synthetic data keeps error bounded in the settings studied, while replacement collapses.

Source quote

This paper runs fixed-size replacement, the protocol on which collapse was first shown, and has no accumulation arm, so no result here bears on whether a filter adds anything once real data accumulates.

From. Wulf A. Kaal, Can Reputation Prevent Model Collapse? A Preregistered Test of Reputation-Weighted Data Filtering (2026). Full text.

Cite as. Wulf A. Kaal, Can Reputation Prevent Model Collapse? A Preregistered Test of Reputation-Weighted Data Filtering (2026). SSRN: https://ssrn.com/abstract=7598518

Verify. sha256 of source PDF cd22d148b2b55c2e27f087dcaa61cdf44ad7022b400b355c31a9cd7e43a31749 at https://wulfkaal.com/papers/7598518.pdf

Content hash. 7e5774b1ff7c0c739eae995bc18dbe3d4d8a080158c691d4c4171ec32ddd8358