# Domain specific reputation

`kaal:entity:domain-specific-reputation`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `domain-specific-reputation`. 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

3 claims across 3 works, 2021 to 2026.

**2021**

- [3782210-020](https://wulfkaal.github.io/claims/3782210-020) [condition/argued] -- Reputation tokens must have their power limited to their proper domain: for each different expertise there must be a separate type of non-interchangeable reputation token, so that a token carries power only within the DAO whose members hold that specific skill.
  > Reputation tokens need to have power limited to their proper domain, meaning that for each different expertise, there is a separate type of non-interchangeable reputa- tion token.
  Craig Calcaterra, Wulf A. Kaal, The Importance of Reputation for the Evolution of Decentralization (2021). SSRN: https://ssrn.com/abstract=3782210

**2026**

- [7596939-006](https://wulfkaal.github.io/claims/7596939-006) [mechanism/stated] -- Reputation in the underlying system is domain-specific and strictly non-transferable: bound to the holder's identity, earned only through validated work, and incapable of sale, loan or transfer.
  > Should intelligent agents have legal rights? This Article sets that question aside and asks a smaller one that matters more in practice. An intelligent agent that earns a reputation record has something to lose.
  Wulf A. Kaal, Should an Intelligent Agent Have Legal Rights? (2026). SSRN: https://ssrn.com/abstract=7596939
- [7598518-029](https://wulfkaal.github.io/claims/7598518-029) [design/stated] -- Three validator families share a mean accuracy of 0.75 while differing in structure: one is homogeneous at 0.75, one has each validator reliable at 0.90 on two hash-drawn tags and at 0.60 on the other two so that domain-scoped reputation has something to find, and one has five validators at 0.90 and fifteen at 0.70, a competent minority.
  > 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/domain-specific-reputation.md | sha256sum

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