# kaal:claim:7456999-014

**Claim.** The contribution beyond prior work is a proposal to treat alignment as a Computative Economics mechanism design problem, and none of the evidence establishes that this reading is correct.

**Type.** methodological  **Support.** argued

**Holds when.**

- the paper's claimed conceptual contribution

**Source quote.**

> The paper’s contribution beyond prior work is the proposal that alignment be treated as a mechanism design problem within Computative Economics rather than as a supervised learning problem within scarcity economics, together with the apparatus that proposal requires. None of the evidence items establishes that the computative reading is the correct one, and the paper does not claim it does.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), Abstract, page 2

**Cite as.** Wulf A. Kaal, Reinforcement Learning from Reputation Feedback (2026). SSRN: https://ssrn.com/abstract=7456999

**Verify.** sha256 of source PDF `01016fbbcc25cad205cebd59ea686d8dfee8ae9b632095d86ba6c9a900456a4b` at https://raw.githubusercontent.com/wulfkaal/Academic-Papers/main/papers/pdf/Kaal%20-%202026%20-%20Reinforcement%20Learning%20from%20Reputation%20Feedback.pdf

**Topics.** economics, ai-and-agents, institutional-design

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