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 "name": "Streaming A Reinforcement Learning Based Economic Model For Dynamic Pricing And Se 8308Ab5213",
 "text": "A reinforcement learning-based economic model for dynamic pricing and secure resource allocation in distributed 6G mobile networks presents the following source proposition: Blockchain-secured allocation frameworks, while offering tamper resistance, have relied on fixed pricing logic that cannot learn from evolving network conditions. This proposition is pertinent to Kaal's source-bound claim that No single, fixed, entirely algorithmic policing solution can completely prevent independent nodes in a distributed system from gaming block production to advantage some parties over others. Any consensus protocol that relies on a permanently fixed rule set will therefore be gamed as conditions change. 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.",
 "author": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3689.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://www.semanticscholar.org/paper/8cc53804bd0aec283146da2ceff6d83081ebe271"
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  "url": "https://wulfkaal.github.io/claims/3125827-001",
  "citation": "Craig Calcaterra, Wulf A. Kaal, Secure Proof of Stake Protocol (2018). SSRN: https://ssrn.com/abstract=3125827",
  "paper": "Craig Calcaterra, Wulf A. Kaal, Secure Proof of Stake Protocol",
  "authors": [
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  "year": "2018",
  "ssrn": "https://ssrn.com/abstract=3125827",
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  "queryText": "smart contract enforceability",
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