# Reward model

`kaal:entity:reward-model`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `reward-model`. 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 1 works, 2024 to 2024.

**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
- [4855607-038](https://wulfkaal.github.io/claims/4855607-038) [mechanism/argued] -- Gathering a wide range of human feedback makes the Reward Model reflect a comprehensive spectrum of human preferences and values, and it is this inclusivity that mitigates bias and captures a richer understanding of what counts as a desirable outcome.
  > By leveraging this model, RLHF can gather a wide range of human feedback, ensuring the Reward Model (RM) reflects a comprehensive spectrum of human preferences and values. This inclusivity helps mitigate biases and captures a richer understanding of what is considered a desirable outcome.
  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/reward-model.md | sha256sum

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