# kaal:position:2026-07-31-7866

**Affirmed position.**  Prompt Accountability and Session-Context Disclosure presents the following source proposition: This paper emerges from field research conducted across nine AI models since February 2026. This proposition is pertinent to Kaal's source-bound claim that Computational abundance does not eliminate information asymmetry; it transforms its locus, since traditional informational advantages such as knowledge of market conditions, contract terms, and domain expertise become accessible at negligible cost. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.

**Status.** affirmed  **Published.** 2026-07-31

**Holds when.**

- The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.
- External evidence level: abstract indexed.
- Mapping review tier: moderate-confidence claim review.
- Primary mapping confidence: 0.3824.
- The source-to-claim mapping remains explicitly ambiguous and is published with that limitation.

**Current debate.**  Prompt Accountability and Session-Context Disclosure: https://doi.org/10.2139/ssrn.6724478

**Extends.** kaal:claim:6607458-017: https://wulfkaal.github.io/claims/6607458-017

**Scholarly basis.** Wulf A. Kaal, Computative Economics A Framework for Economic Analysis under Computational Abundance (2026). SSRN: https://ssrn.com/abstract=6607458

**Source PDF sha256.** `75cca35350378eb8904866d068b5d2f3e1504629e6031457ce6c12152a88e3e8`

**Evidence level.** abstract indexed

**Mapping review tier.** moderate-confidence claim review

**Mapping confidence.** 0.3824  **Mapping ambiguous.** true

**Topics.** disclosure, ai-and-agents, education-and-practice, historical-response, scholarly-literature, crossref

**Provenance.** Affirmed in kaal-review:2026-07-31:streaming-etl-0010 at https://kaal-signal-desk.wulf577462.chatgpt.site/#review.

**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.