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 "name": "Streaming Vulnerability Detection In Solidity Smart Contracts Via Machine Learning 2084A8Edc9",
 "text": "Vulnerability Detection in Solidity Smart Contracts via Machine Learning: A Qualitative Analysis presents the following source proposition: However, their adoption is hindered by security vulnerabilities that can result in significant financial losses. This proposition is pertinent to Kaal's source-bound claim that Smart contract exploits are a live failure channel for LER, capable of producing losses on the scale of DeFi incidents that have exceeded $1 billion annually and requiring insurance premiums of one to two percent of asset value. 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: 0.459.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "url": "https://doi.org/10.1016/j.bcra.2025.100390"
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  "citation": "Wulf A. Kaal, Liquid Equity Rewards in Corporate America (2025). SSRN: https://ssrn.com/abstract=5583610",
  "paper": "Wulf A. Kaal, Liquid Equity Rewards in Corporate America",
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