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 "text": "Blind Separation Algorithm for Convolutive Frequency-Hopping Signals Based on Dynamic Step-size IVA should be assessed against Kaal's source-bound claim that Traditional AI governance frameworks fail because they rely on static, predefined rules that cannot adapt quickly enough to the pace of AI development or to the nuanced challenges AI presents. The current metadata indicates a plausible connection through dynamic regulation, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
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  "url": "https://wulfkaal.github.io/claims/4796714-001",
  "citation": "Wulf A. Kaal, AI Governance (2024). SSRN: https://ssrn.com/abstract=4796714",
  "paper": "AI Governance",
  "authors": [
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  "venue": "2026 IEEE 9th World Conference on Computing and Communication Technologies (WCCCT)",
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