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 "name": "Ai Identity Requires Population Level Compositional Governance",
 "text": "Self-sovereign identity and verifiable credentials can establish which AI entities are participating without a central identity authority, but governance of multiple versions and instantiations also requires a representation of how their operational states, population weights, and configurations change over time; convex AI compositionality proposes such a representation while preserving formal identity relations under stated lifecycle-reachability conditions.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "finite populations of related AI systems or instantiations",
  "operational states admitting the proposed convex representation",
  "formal identity preservation only under the framework's stated conditions",
  "conceptual and illustrative support rather than demonstrated governance effectiveness",
  "The position is Kaal's own cross-domain application of the cited claim; the source's authors do not make it.",
  "The source passage is taken from the arXiv abstract; the full paper was not reviewed."
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  "name": "Andrea Ferrario, Convex AI Compositionality and the Governance of AI System Populations (arXiv:2609.24784, 2026)",
  "url": "https://arxiv.org/abs/2609.24784v1"
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  "url": "https://wulfkaal.github.io/claims/4941807-007",
  "citation": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807",
  "paper": "Wulf A. Kaal, AI Governance Via Web3 Reputation System (2024). SSRN: https://ssrn.com/abstract=4941807. https://doi.org/10.2139/ssrn.4941807",
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