# Data integrity

`kaal:entity:data-integrity`

**Status.** derived

This node is assembled mechanically from the 3 claims that carry the concept tag `data-integrity`. 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, 2017 to 2024.

**2017**

- [2959730-018](https://wulfkaal.github.io/claims/2959730-018) [mechanism/asserted] -- The decentralized, fully distributed nature of the blockchain makes it practically impossible to reverse, alter, or erase information recorded in it.
  > The decentralized, fully-distributed nature of the blockchain makes it practically impossible to reverse, alter, or erase information in the blockchain.
  Wulf A. Kaal, Blockchain Applications and Fee Structure Developments in Private Investment Funds (2017). SSRN: https://ssrn.com/abstract=2959730

**2021**

- [3782191-017](https://wulfkaal.github.io/claims/3782191-017) [failure/argued] *(failure mode)* -- No guarantee exists in a decentralized system that the randomly generated information filtering in at the edges is accurate, as on Amazon and the internet generally where there is no real attempt to clean the data.
  > No guarantee exists in a decentralized system that the randomly-generated information is accurate. That is the case on Amazon and on the internet in general where there is no real attempt to clean the data.
  Craig Calcaterra, Wulf A. Kaal, Preface to (2021). SSRN: https://ssrn.com/abstract=3782191

**2024**

- [4855607-035](https://wulfkaal.github.io/claims/4855607-035) [design/argued] -- Applying decentralized voting and consensus to RLHF permits human feedback to be verified before it is used to calibrate the Reward Model, which raises the integrity and reliability of the feedback data entering the model.
  > Applying these mechanisms to RLHF allows for the decentralized verification of human feedback before it's used to calibrate the RM, enhancing the integrity and reliability of the feedback data.
  Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607

## 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/data-integrity.md | sha256sum

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