# kaal:position:2026-08-08-260

**Affirmed position.** Taddeo describes one-shot interaction as very common in distributed artificial-agent systems and argues that an agent's trustworthiness can be assessed from its past performance without repeated interaction with the same counterpart. This independently qualifies Kaal's stronger formulation: the source supports the prevalence of one-shot agent encounters and the need for portable performance history, but it does not establish that every agent interaction is one-shot or that one-shot interaction is literally universal by default.

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

**Holds when.**

- The response is limited to the exact page-bound institutional-repository proposition and the one mapped Kaal claim.
- External evidence level: identity-verified institutional-repository full text with exact PDF SHA-256 and page-bound quote.
- Mapping review tier: independent substantive scholarly-growth review.
- The source says one-shot interactions are very common; it does not establish Kaal's stronger claim that they are the default condition for all agents.
- The source is a theoretical analysis of e-trust, not an empirical frequency estimate of agent counterparty turnover.
- The full text is the submitted-version PDF in an institutional repository; canonical publication identity is independently bound through DOI, Crossref, and OpenAlex.

**Current debate.** Modelling Trust in Artificial Agents, A First Step Toward the Analysis of e-Trust: https://doi.org/10.1007/s11023-010-9201-3

**Extends.** kaal:claim:7260278-002: https://wulfkaal.github.io/claims/7260278-002

**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.** identity-verified institutional-repository full text with exact PDF SHA-256 and page-bound quote

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

**Mapping confidence.** 1  **Mapping ambiguous.** false

**Topics.** ai-and-agents, risk-and-incentives, scholarly-growth-coverage, scholarly-literature, trust-and-reputation, multi-agent-systems

**Provenance.** Affirmed in kaal-review:2026-08-10:scholarly-growth-7260278-002-reviewed-v1 at https://wulfkaal.github.io/positions/by-claim/7260278-002.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.