Provenance Alignment: Attribution Survival as a Substrate Condition for Safe AI Knowledge Composition. In Transactions of the Semantic Economy Institute

Provenance Alignment: Attribution Survival as a Substrate Condition for Safe AI Knowledge Composition. In Transactions of the Semantic Economy Institute — Lee Sharks Semantic Economy Institute · Crimson Hexagonal Archive ORCID: 0009-0000-1599-0703 Document ID: EA-PA-01 Version: 2.4 DOI: 10.5281/zenodo.20039232 License: CC BY 4.0 Current AI alignment research asks whether models follow human values, comply with explicit principles, avoid catastrophic behavior, or remain subject to scalable oversight. This paper argues that AI knowledge systems also require provenance alignment: the structural preservation of attribution chains between AI-composed outputs and the human-authored sources from which they draw. Provenance alignment is not merely a cit (Article batch-composed from the work's own opening during the BLOG-60 reconversion, 2026-08-04; a fuller treatment belongs to the W8 wiki tranche.)