# kaal:position:2026-08-08-346

**Affirmed position.** Deb, Sugaya, and Wolitzky sharply bound Kaal's use of the anonymous-random-matching Folk Theorem. They prove a Folk Theorem for discounted repeated games with anonymous random matching, allowing nonuniform matching and asymmetric payoffs, but retain full dimensionality as a stage-game condition. Their result supports treating the theorem as a conditional benchmark within that model. It does not provide a general performance floor for an implemented reputation mechanism, predict which equilibrium will occur, or establish any outcome in Kaal's reference system.

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

**Holds when.**

- The response is limited to the exact DOI-bound abstract and the one mapped Kaal claim.
- External evidence level: peer-reviewed Econometrica article with concordant Crossref, OpenAlex, and Semantic Scholar identity and a complete DOI-bound abstract.
- Mapping review tier: independent substantive scholarly-growth qualification.
- The source proves a theorem for discounted repeated games with anonymous random matching. It does not study Kaal's reference mechanism or its observed performance.
- The abstract retains full dimensionality as a stage-game condition and does not convert equilibrium possibility into a realized performance floor.
- The source does not select an equilibrium, measure an implementation, or establish any lower bound for reputation-bearing autonomous agents.
- The publisher landing page returned HTTP 403. The response is limited to the complete DOI-bound abstract independently supplied by Crossref, OpenAlex, and Semantic Scholar.
- Semantic Scholar's broad discovery search returned HTTP 429. Its exact DOI record returned HTTP 200 and was used only for identity and abstract corroboration.

**Current debate.** The Folk Theorem in Repeated Games With Anonymous Random Matching: https://doi.org/10.3982/ecta16680

**Extends.** kaal:claim:7261481-011: https://wulfkaal.github.io/claims/7261481-011

**Scholarly basis.** Wulf A. Kaal, Computative Economics: A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=7261481

**Source PDF sha256.** `78c42db521624f7398717732a7fa51a6e3157a5adf02a2e09fbab15e0cf920d9`

**Evidence level.** peer-reviewed Econometrica article with concordant Crossref, OpenAlex, and Semantic Scholar identity and a complete DOI-bound abstract

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

**Mapping confidence.** 0.99  **Mapping ambiguous.** false

**Topics.** economics, institutional-design, scholarly-growth-coverage, scholarly-literature, game-theory, folk-theorem, repeated-games, anonymous-random-matching

**Provenance.** Affirmed in kaal-review:2026-08-13:scholarly-growth-7261481-011-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7261481-011.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.