kaal:position:2026-07-31-7866

 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.

• 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.

 Prompt Accountability and Session-Context Disclosure

kaal:claim:6607458-017
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: abstract indexed
Review tier: moderate-confidence claim review
Mapping confidence: 0.3824
Mapping ambiguous: true

disclosureai-and-agentseducation-and-practicehistorical-responsescholarly-literaturecrossref

Affirmed in kaal-review:2026-07-31:streaming-etl-0010 on 2026-07-31. Review record.

Canonical markdown sha256: c5fa5e99baf64640ab3f293b6905e07e76f279de58eb3d196dd8f23d24b2bef6
curl -s https://wulfkaal.github.io/positions/2026-07-31-7866.md | sha256sum