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 "text": "Blockchain-enabled Model Context Protocol (MCP) for trust and consent in LLM-orchestrated sports analytics should be assessed against Kaal's source-bound claim that Infrastructure level permissioning neglects critical risks such as smart contract exploits, bugs, and permission conflicts, and proposes no real time enforcement across distributed nodes, which weakens its claim to bridge AI autonomy and accountability. The current metadata indicates a plausible connection through model context protocol, 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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  "External evidence level: abstract indexed.",
  "Mapping review tier: ambiguity triage before claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
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  "url": "https://www.semanticscholar.org/paper/dae9659ce088e15def05e1a42aedad0e1a361c04"
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  "identifier": "kaal:claim:5245185-016",
  "url": "https://wulfkaal.github.io/claims/5245185-016",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5245185",
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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: across, distributed, proposes, smart, contracts, time, real, compliance. Scope: permissioned transaction controls embedded in smart contracts.",
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  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "model context protocol",
  "queryId": "concept:9c5da690faad",
  "page": 1,
  "sourceRank": 860,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": "Journal of Sports Analytics",
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