kaal:claim:7598518-019

Claim. Filters that select on surprise or entropy, not validity, work where they work because they see what a validity filter is forbidden to see, and against that literature a null here is a literature rather than a caveat.

Type. mechanism · Support. argued

Holds when

• The comparison rests on published surprise-filter and entropy-filter results.
• The paper runs no surprise or entropy arm, so it supplies no measured comparison with them.

Source quote

Filters that select on surprise or entropy, not validity, work where they work because they see what a validity filter is forbidden to see: a high-surprise filter mitigates collapse about as well as human-data baselines (Gambetta et al. 2026), and an entropy-rate filter reports diversity gains where a log-probability filter gives no significant benefit (Mitchell 2026). Against that literature, a null here is a literature rather than a caveat.

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

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