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 "@id": "https://wulfkaal.github.io/entities/real-time-data",
 "identifier": "kaal:entity:real-time-data",
 "name": "Real time data",
 "termCode": "real-time-data",
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 },
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0000-0003-0757-275X"
 },
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 "subjectOf": [
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4900878-029",
   "identifier": "kaal:claim:4900878-029",
   "text": "DeFi protocols automate financial transactions through smart contracts, cutting out intermediaries and increasing transparency, and those same features let quantum economics build models that are self executing and adaptable to real time data, overcoming implementation problems that defeat traditional economic models.",
   "abstract": "These features can be utilized in quantum economics to develop models that are both self-executing and adaptable to real-time data",
   "citation": "Wulf A. Kaal, Quantum Economy and Tokenomics (2024). SSRN: https://ssrn.com/abstract=4900878",
   "datePublished": "2024",
   "claim_type": "design",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "DeFi platforms operating on smart contract infrastructure"
   ],
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   "status": "current"
  },
  {
   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/4957318-032",
   "identifier": "kaal:claim:4957318-032",
   "text": "Unlike traditional governance that relies on periodic reviews and updates, the WDAG system taps a continuous stream of data from a wide range of stakeholders, which is what makes real time rather than cyclical legal adjustment possible.",
   "abstract": "Unlike traditional governance models that rely on periodic reviews and updates, WDAG can tap into a continuous stream of data from a wide range of stakeholders.",
   "citation": "Wulf A. Kaal, The Future of Law - Dynamic Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4957318",
   "datePublished": "2024",
   "claim_type": "mechanism",
   "confidence": "argued",
   "is_failure_mode": false,
   "scope_conditions": [
    "where a decentralized network can supply continuous stakeholder sentiment data"
   ],
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   "status": "current"
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   "@type": "Claim",
   "@id": "https://wulfkaal.github.io/claims/5095633-013",
   "identifier": "kaal:claim:5095633-013",
   "text": "Latency, throughput limits, and the absence of fully automated continuous training and validation together defeat the timeliness advantage that real-time data is supposed to deliver.",
   "abstract": "Latency, data throughput constraints, and the absence of fully automated mechanisms for continuous training and validation can collectively undermine the timeliness of insights derived from AI models.",
   "citation": "Wulf A. Kaal, Artificial Intelligence The Final Frontier (2025). SSRN: https://ssrn.com/abstract=5095633",
   "datePublished": "2025",
   "claim_type": "failure",
   "confidence": "argued",
   "is_failure_mode": true,
   "scope_conditions": [
    "AI pipelines ingesting live, high-velocity data streams"
   ],
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 "description": "3 claims in the published works of Wulf A. Kaal carry the concept tag 'real-time-data'. Derived node: a roster, not an adjudicated definition."
}