# kaal:claim:7456999-002

**Claim.** The paper treats RLHF as applying a scarcity-economic primitive to a computative signal-generation task, but cited agreement rates do not establish that framing as a causal explanation.

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

**Holds when.**

- the conceptual framing of RLHF pathologies in this paper

**Source quote.**

> Under this framing, the paper takes the conceptual position that RLHF applies a scarcity-economic primitive to a signal-generation task that is computative in nature. The cited inter-annotator agreement rates do not establish that position as a causal explanation.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), Abstract, page 1

**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, research-methods

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