# kaal:position:2026-08-08-298

**Affirmed position.** Jindani independently confirms Kaal's distinction between equilibrium existence and equilibrium selection. His peer-reviewed analysis states that the Folk Theorem permits a wide range of payoffs in infinitely repeated games, while existing learning results that converge to equilibrium do not select among those equilibria. Jindani then adds a stochastic learning rule that selects an efficient subgame-perfect equilibrium. The extension is narrow. The result concerns two-player repeated games under specified learning dynamics. It does not show that an autonomous-agent population will select cooperation merely because cooperative equilibria are available.

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

**Holds when.**

- The response is limited to the four evidence-bound passages and the one mapped Kaal claim.
- External evidence level: peer-reviewed CC BY Journal of Economic Theory article with Crossref/OpenAlex/Semantic Scholar identity, a complete registry-bound abstract, and a public 25-page author presentation with exact page-bound passages.
- Mapping review tier: independent substantive scholarly-growth extension.
- The article studies two-player infinitely repeated games and a particular non-Bayesian stochastic learning rule, not Kaal's autonomous-agent population or engineered reputation substrate.
- The Folk Theorem supports many feasible equilibria under patience and individual-rationality conditions; Jindani's selection result depends on additional learning assumptions.
- The public evidence reviewed includes the article's registry-bound abstract and the author's complete 25-page presentation. The publisher article PDF endpoint returned HTTP 403.
- The source selects efficient equilibrium payoffs in its model. It does not prove that a real agent population will select cooperation under Kaal's engineered conditions.
- Semantic Scholar's bounded general search and two inherited direct-record requests returned HTTP 429; the inherited identities were independently resolved through Crossref, arXiv, and public source records and none was promoted.

**Current debate.** Learning efficient equilibria in repeated games: https://doi.org/10.1016/j.jet.2022.105551

**Extends.** kaal:claim:7260278-040: https://wulfkaal.github.io/claims/7260278-040

**Scholarly basis.** Wulf A. Kaal, Paper 2 - Architecture of the Agentic Reputation Substrate (2026). SSRN: https://ssrn.com/abstract=7260278

**Source PDF sha256.** `d48801f279dba594e1f3e65d74d31f862261ada6428ea119f948e8d7cfee1db0`

**Evidence level.** peer-reviewed CC BY Journal of Economic Theory article with Crossref/OpenAlex/Semantic Scholar identity, a complete registry-bound abstract, and a public 25-page author presentation with exact page-bound passages

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

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

**Topics.** institutional-design, risk-and-incentives, ai-and-agents, scholarly-growth-coverage, scholarly-literature, game-theory, folk-theorem, repeated-games, equilibrium-selection, learning-dynamics

**Provenance.** Affirmed in kaal-review:2026-08-12:scholarly-growth-7260278-040-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7260278-040.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.