kaal:claim:7598518-002

Claim. The paper follows on from the author's Reinforcement Learning from Reputation Feedback paper and tests one use of that mechanism, as a filter on training data, and not the mechanism as a whole.

Type. condition · Support. stated

Holds when

• Scope is relative to the author's parent reputation-feedback paper.
• The restriction is the paper's own statement of what it does and does not test.

Source quote

The paper follows on from the author's Reinforcement Learning from Reputation Feedback (RLRF) paper. It tests one use of that mechanism, as a filter on training data, not the mechanism as a whole.

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. d6255b60c511c227c18ace953015b14f613ee88b01e73680fdd275da6a93ed3a