kaal:claim:7598518-020

Claim. Reputation in this experiment is settled once against a key before training, so the pool is supervised reweighting from a disjoint key, and the paper does not compare it with a key-free latent-variable aggregator.

Type. condition · Support. stated

Holds when

• The concession places the weight inside the established family of reliability-weighted aggregation.
• No comparison with a key-free aggregator is run, so no claim about that comparison is available.

Source quote

In this experiment, the concession is stronger: reputation is settled once against a key before training, so the pool is supervised reweighting from a disjoint key. The paper does not compare it with a key-free latent-variable aggregator.

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. a7fb62fbbb5c452a9f619017dac367fdfb37a7e81672955787dddfa4c2a44b7d