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 "name": "Historical 520687947Fab608606F8",
 "text": "Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol for Scalable Agentic AI Systems should be assessed against Kaal's source-bound claim that Decentralized code review underwriting makes the code review market more efficient because it democratizes the functions of code review and frees untapped sources of power and knowledge. 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.",
 "author": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
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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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  "name": "Model Context Protocol (MCP) and Agent-to-Agent (A2A) Protocol for Scalable Agentic AI Systems",
  "url": "https://www.semanticscholar.org/paper/b86295ea477fb4ed993fd4ce962f60a72f2d2d50"
 },
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  "url": "https://wulfkaal.github.io/claims/3995709-026",
  "citation": "Wulf A. Kaal, How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards (2021). SSRN: https://ssrn.com/abstract=3995709",
  "paper": "How DAOs Optimize Open-Source Code Reviews and Create Open-Source Standards",
  "authors": [
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  "year": "2021",
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 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: code, review, open, standards, sources, decentralized. Scope: decentralized underwriting of code reviews.",
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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": 709,
  "retrievedAt": "2026-07-31T13:58:04.059Z",
  "citationCount": 0,
  "venue": "2026 Third International Conference on Innovations in Cybersecurity and Data Science (ICICDS)",
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