# Caps

`kaal:entity:caps`

**Status.** derived

This node is assembled mechanically from the 4 claims that carry the concept tag `caps`. 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

4 claims across 2 works, 2020 to 2026.

**2020**

- [3606663-011](https://wulfkaal.github.io/claims/3606663-011) [failure/argued] *(failure mode)* -- Capped ICO raises, adopted by the crypto community to reduce investor uncertainty about platform valuation in uncapped raises, backfire because the cap creates strong incentives for investors to get in first, raising the likelihood of retail investor frenzy.
  > However, capped ICO raises create significant incentives for investors to attempt to get in first, raising the likelihood of retail investor frenzy.
  Kaal, Digital Asset Market Evolution (2020). SSRN: https://papers.ssrn.com/sol3/papers.cfm?abstract_id=3606663

**2026**

- [7598518-023](https://wulfkaal.github.io/claims/7598518-023) [design/stated] -- The primary outcome caps each rare component's retained mass at its original level and averages over components, so that a component which dies counts as a loss and a component which grows cannot offset it.
  > 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
- [7598518-041](https://wulfkaal.github.io/claims/7598518-041) [condition/stated] -- A positive reading would not say the weights mattered: the attribution sentence is issued only if the pool's contrast against full replacement and the reputation pool's contrast against the equal-weight pool are both superior in every family including the homogeneous one, the oracle premise and ladder rungs 3 and 4 pass in every family, and the key cap holds.
  > 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
- [7598518-042](https://wulfkaal.github.io/claims/7598518-042) [design/stated] *(failure mode)* -- The design names a failure pattern in advance: if the likelihood filter, the equal-weight pool, and the reputation pool each carry the negative label against full replacement in every family, the paper issues a registered sentence recording that each had lower capped retention at generation 50 than full replacement, as a registered negative result and not an implementation failure.
  > 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/caps.md | sha256sum

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