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 "name": "Streaming Regulatory Challenges Of Llm Integrated Blockchain Agents In The Metaver D9D78828B9",
 "text": "Regulatory Challenges of LLM-Integrated Blockchain Agents in the Metaverse presents the following source proposition: Adopting a systematic analysis drawing on technical and legal perspectives, it explores how LLMs’ generative autonomy and blockchain’s immutability complicate compliance with privacy laws, liability frameworks, and ethical standards. This proposition is pertinent to Kaal's source-bound claim that WDAGs allow new regulatory and ethical standards to be integrated into existing AI systems without overhauling the entire model architecture, which is what makes rapid legal adaptation feasible in sectors such as public safety and healthcare. 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.",
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  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance",
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