# kaal:claim:7456999-075

**Claim.** Recovering previously unparsed assessor replies reversed Experiment T's magnitude estimate to -0.0017 while leaving its interval inclusive of zero and its attribution result below the required percentile.

**Type.** empirical  **Support.** evidenced

**Holds when.**

- the revised Experiment T analysis

**Source quote.**

> Recovering previously unparsed assessor replies reversed the magnitude estimate to -0.0017. Its 95% interval from -0.0102 to +0.0068 still contained zero. The attribution result remained below the 95th percentile at the 61.3rd percentile.

**From.** Wulf A. Kaal, *Reinforcement Learning from Reputation Feedback* (2026), VIII. Limitations and Future Work, page 30

**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.** empirical-evidence, research-methods, ai-and-agents

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