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 "name": "Streaming Economics Model For Federated Llm Training Via Blockchain 2745F54607",
 "text": "Economics Model for Federated LLM Training via Blockchain presents the following source proposition: Federated Federated learning (FL) is employed to enable privacy-preserving, distributed model training, while blockchain technologies are leveraged to provide transparency, accountability, and trust among mutually untrusted stakeholders. This proposition is pertinent to Kaal's source-bound claim that Distributed ledger technologies are particularly capable of increasing trust among charitable organizations, sponsors, and beneficiaries, because the technology enables real time tracking of the donation supply chain. 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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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.355.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://www.semanticscholar.org/paper/d09cae1dbfcf58783bb439afd48c87af88a57251"
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  "citation": "Wulf A. Kaal, How Decentralized Autonomous Organizations Optimize Charitable Giving (2021). SSRN: https://ssrn.com/abstract=3981021",
  "paper": "Wulf A. Kaal, How Decentralized Autonomous Organizations Optimize Charitable Giving",
  "authors": [
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