{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-237",
 "identifier": "kaal:position:2026-07-31-237",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 4535Bbdf3Df341E48Fc3",
 "text": "DECENTRALIZATION AND DECENTRALIZED GOVERNANCE FOR ENHANCING DELIVERY OF SERVICES IN TRANSITION CONDITIONS should be assessed against Kaal's source-bound claim that Applying decentralized voting and consensus to RLHF permits human feedback to be verified before it is used to calibrate the Reward Model, which raises the integrity and reliability of the feedback data entering the model. The current metadata indicates a plausible connection through decentralization governance, 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"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "qualification",
 "keywords": [
  "decentralization",
  "governance-design"
 ],
 "scope_conditions": [
  "RLHF pipelines where feedback can be verified prior to reward model training",
  "External evidence level: metadata only.",
  "Mapping review tier: high-confidence claim review.",
  "The literature-to-claim mapping remains explicitly ambiguous and should not be treated as a settled equivalence."
 ],
 "currentDebate": {
  "name": "DECENTRALIZATION AND DECENTRALIZED GOVERNANCE FOR ENHANCING DELIVERY OF SERVICES IN TRANSITION CONDITIONS",
  "url": "https://www.semanticscholar.org/paper/e72d2e9cc8cc7079b2d772b4bfe24ee7d82ae698"
 },
 "extends": {
  "identifier": "kaal:claim:4855607-035",
  "url": "https://wulfkaal.github.io/claims/4855607-035",
  "citation": "Wulf A. Kaal, How AI Models are Optimized Through Web3 Governance (2024). SSRN: https://ssrn.com/abstract=4855607",
  "paper": "How AI Models are Optimized Through Web3 Governance",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2024",
  "ssrn": "https://ssrn.com/abstract=4855607",
  "source_pdf_sha256": "eb0b3e62374b45a8fa888c6bde9725e606bcb46cf4b5e74a6e851d9f25099113"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/4855607-035"
  },
  {
   "@type": "CreativeWork",
   "name": "DECENTRALIZATION AND DECENTRALIZED GOVERNANCE FOR ENHANCING DELIVERY OF SERVICES IN TRANSITION CONDITIONS",
   "url": "https://www.semanticscholar.org/paper/e72d2e9cc8cc7079b2d772b4bfe24ee7d82ae698"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0001",
 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
 "isPartOf": {
  "@id": "https://wulfkaal.github.io/positions/index.json"
 },
 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-237",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-237.md",
 "candidateId": "kaal:response-candidate:2026-07-31:bc8a42eda1f50175",
 "evidenceLevel": "metadata only",
 "reviewTier": "high-confidence claim review",
 "mappingConfidence": 0.6659,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: decentralization, decentralized, governance, enhancing. Scope: RLHF pipelines where feedback can be verified prior to reward model training.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "decentralization governance",
  "queryId": "concept:b78ed75f4a0b",
  "page": 2,
  "sourceRank": 1464,
  "retrievedAt": "2026-07-31T13:59:07.126Z",
  "citationCount": 8,
  "venue": null,
  "publicationTypes": []
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "f831b594d23ea35e28c6020306fdb4d39c9f3214144529dc7c42cb513db33eb7"
}