# kaal:claim:7456999-049

**Claim.** Format D complements three additional training formats to produce a four-format instruction-tuning taxonomy.

**Type.** design  **Support.** argued

**Holds when.**

- the proposed four-format RLRF training corpus

**Source quote.**

> Format D (Debate-Informed Revision) complements three additional training formats derived from the RLRF tuple, producing a four-format instruction-tuning taxonomy.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), III.D.4 Four-Format Instruction Tuning Taxonomy, page 16

**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.** ai-and-agents, reputation, governance-design

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