# Reputation feedback

`kaal:entity:reputation-feedback`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `reputation-feedback`. It is a roster of what the corpus says under this term. It is **not** an adjudicated definition: no single statement here has been ruled canonical, and no first-appearance call has been made. Read the claims and judge for yourself.

## Every claim under this term

2 claims across 2 works, 2021 to 2026.

**2021**

- [3962614-033](https://wulfkaal.github.io/claims/3962614-033) [mechanism/asserted] -- Through the decentralized governance precedent system, projects upvoted by the whale validation pool that have the highest comparative ROI get more citations in the reputation system and continually enhance the reputation of the whale who sourced and proposed them.
  > Through the decentralized governance precedent system, projects that were upvoted by the Whale validation pool and have the highest comparative ROI get more citations in the reputation system and continually enhance the reputation of the whale who sourced and proposed it.
  Wulf A. Kaal, REPUTATION AS CAPITAL – How Decentralized Autonomous Organizations Address Shortcomings in the Ventu (2021). SSRN: https://ssrn.com/abstract=3962614

**2026**

- [7598518-002](https://wulfkaal.github.io/claims/7598518-002) [condition/stated] -- 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.
  > Intelligence models increasingly learn from data that earlier Intelligence models produced, and when that loop repeats the rare cases disappear first. This paper preregisters a test of whether a reputation-weighted validator pool, filtering the training data of a recursive replacement loop, keeps those rare cases alive. The outcomes remain sealed until a replication of the original model-collapse result succeeds.
  Wulf A. Kaal, Can Reputation Prevent Model Collapse? A Preregistered Test of Reputation-Weighted Data Filtering (2026). SSRN: https://ssrn.com/abstract=7598518

## Verify

Every claim above resolves to a record carrying a verbatim source quote, the sha256 of the source PDF, and a preformatted citation. Nothing here asks to be taken on trust.

    curl -s https://wulfkaal.github.io/entities/reputation-feedback.md | sha256sum

**Canonical form.** This markdown file is the canonical hashed representation of this entity node. Its sha256 is the content hash.