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 "name": "Historical Bec9Efdf960645329860",
 "text": "Consolidating incentivization in distributed neural network training via decentralized autonomous organization should be assessed against Kaal's source-bound claim that The performance of an AI neural network's learning algorithm during supervised training rises with the quality and quantity of the labelled datasets it is trained on, which ties AI progress directly to micro task work. The current metadata indicates a plausible connection through decentralized autonomous organization, but the defensible response is a qualification until the source text confirms agreement, scope, methods, and limitations.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "External evidence level: metadata only.",
  "Mapping review tier: mapping review 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/93f3545d18b9afc566eb69a40a9c58ad16153360"
 },
 "extends": {
  "identifier": "kaal:claim:3128900-003",
  "url": "https://wulfkaal.github.io/claims/3128900-003",
  "citation": "Wulf A. Kaal, Decentralized Mechanical Turk Through Verified Reputation (2018). SSRN: https://ssrn.com/abstract=3128900",
  "paper": "Decentralized Mechanical Turk Through Verified Reputation",
  "authors": [
   "Wulf A. Kaal"
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  "year": "2018",
  "ssrn": "https://ssrn.com/abstract=3128900",
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 ],
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: neural, network, training, decentralized. Scope: supervised training process.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "decentralized autonomous organization",
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  "page": 1,
  "sourceRank": 518,
  "retrievedAt": "2026-07-31T13:58:11.476Z",
  "citationCount": 5,
  "venue": "Neural computing & applications (Print)",
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