# kaal:position:2026-08-08-315

**Affirmed position.** Bolton, Freixas, and Shapiro qualify Kaal's treatment of over-approval as moral hazard in the monitoring layer. Their model places the conflict inside the rating agency. The agency can understate credit risk to attract business, while issuers can purchase only favorable ratings. Rating inflation becomes more likely when reputation costs are lower or more investors accept ratings at face value. The monitor's verdict can therefore become more favorable even when the underlying risk remains unchanged. This correspondence supports Kaal's classification of over-approval as an incentive failure by the adjudicator rather than merely an error by the worker being evaluated.

The comparison is bounded. Credit rating agencies evaluate securities, not LLM-generated task outputs. The source models reported credit risk rather than approval against a known task-level ground truth. It does not test Kaal's validation pool or establish any measured over-approval rate. It supplies an independently developed mechanism for favorable verdicts to decouple from the quality the monitor is expected to assess. Kaal's empirical application remains a separate proposition.

**Status.** affirmed  **Published.** 2026-08-08

**Holds when.**

- The response is limited to the three evidence-bound full-text passages and the one mapped Kaal claim.
- External evidence level: complete public NBER working paper bound to the journal article through title, authors, Crossref, and OpenAlex.
- Mapping review tier: independent substantive scholarly-growth qualification.
- The paper studies credit rating agencies and securities, not LLM validation pools.
- Its model concerns reported credit risk rather than approval against known task-level ground truth.
- It does not estimate Kaal's over-approval measure or establish any registered empirical result.
- The complete public NBER working paper was reviewed. Semantic Scholar returned no DOI record, so no Semantic Scholar evidence was promoted.
- Fresh English, German, and Spanish Crossref and OpenAlex discovery was completed. Semantic Scholar search returned HTTP 429.

**Current debate.** The Credit Ratings Game: https://www.nber.org/system/files/working_papers/w14712/w14712.pdf

**Extends.** kaal:claim:7261018-018: https://wulfkaal.github.io/claims/7261018-018

**Scholarly basis.** Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018

**Source PDF sha256.** `1d6cbe544bd0055133f7cf8ff308be4fde955867bd8dc764992b8d516af15fa8`

**Evidence level.** complete public NBER working paper bound to the journal article through title, authors, Crossref, and OpenAlex

**Mapping review tier.** independent substantive scholarly-growth qualification

**Mapping confidence.** 0.97  **Mapping ambiguous.** false

**Topics.** economics, risk-and-incentives, consensus-and-security, scholarly-growth-coverage, scholarly-literature, delegated-monitoring, credit-ratings, moral-hazard

**Provenance.** Affirmed in kaal-review:2026-08-12:scholarly-growth-7261018-018-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7261018-018.html.

**Record type.** This is a dated commentary position that extends a scholarly corpus claim. It is not a verbatim claim extracted from the paper.

**Canonical form.** This markdown file is the canonical hashed representation of the position.