# Pro rata rewards

`kaal:entity:pro-rata-rewards`

**Status.** derived

This node is assembled mechanically from the 2 claims that carry the concept tag `pro-rata-rewards`. 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, 2024 to 2024.

**2024**

- [4755632-040](https://wulfkaal.github.io/claims/4755632-040) [mechanism/argued] -- Paying workers a share of incoming compensation pro rata to their reputation scores makes rigor self-enforcing, because workers who do not engage with the required care lose their spot in the reputation rankings and thereby lose their share of the job fee distribution.
  > they sacrifice their spot in the rankings of reputation scores which affects their participation in the job fee distribution, which is paid out pro rata to the respective reputation scores.
  Wulf A. Kaal, AI Learning - Decentralized Governance to Optimize Human Output Datasets for AI Learning (2024). SSRN: https://ssrn.com/abstract=4755632
- [4855607-029](https://wulfkaal.github.io/claims/4855607-029) [design/argued] -- In federated learning, validation pools coordinated by smart contracts should dispense rewards pro rata to the reputation a node has accumulated through productive work, so that incentives track a node's actual contribution to the model's learning rather than mere participation.
  > with validation pools that are smart contract coordinated to dispense rewards pro rata to the reputation scores a node may have accumulated through productive work. This mechanism ensures that nodes are incentivized based on their actual input to the AI model's learning.
  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/pro-rata-rewards.md | sha256sum

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