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 "@context": "https://schema.org",
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-3051",
 "identifier": "kaal:position:2026-07-31-3051",
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 "name": "Historical 36Bdd0110Cec4C46C3B8",
 "text": "Research on dynamic regulation strategy optimization of supply chain greenwashing behavior based on reinforcement learning should be assessed against Kaal's source-bound claim that Accuracy and consistency problems in the SEC's private fund data collection can impair the FSOC's ability to evaluate the systemic risk posed by private fund advisers. The current metadata indicates a plausible connection through dynamic regulation, 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",
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  "systemic-risk",
  "risk-and-incentives",
  "private-funds",
  "dynamic-regulation"
 ],
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  "data collected through Form PF",
  "FSOC evaluation of nonbank systemic risk",
  "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."
 ],
 "currentDebate": {
  "name": "Research on dynamic regulation strategy optimization of supply chain greenwashing behavior based on reinforcement learning",
  "url": "https://www.semanticscholar.org/paper/6ea98a0cef1aa95207f4d4e93e204ea98f9476de"
 },
 "extends": {
  "identifier": "kaal:claim:2470008-002",
  "url": "https://wulfkaal.github.io/claims/2470008-002",
  "citation": "Wulf A. Kaal, The Systemic Risk of Private Funds after the Dodd-Frank Act (2014). SSRN: https://ssrn.com/abstract=2470008",
  "paper": "The Systemic Risk of Private Funds after the Dodd-Frank Act",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2014",
  "ssrn": "https://ssrn.com/abstract=2470008",
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   "@id": "https://wulfkaal.github.io/claims/2470008-002"
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   "name": "Research on dynamic regulation strategy optimization of supply chain greenwashing behavior based on reinforcement learning",
   "url": "https://www.semanticscholar.org/paper/6ea98a0cef1aa95207f4d4e93e204ea98f9476de"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0013",
 "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.",
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 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-3051",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-3051.md",
 "candidateId": "kaal:response-candidate:2026-07-31:0ad11eea00440576",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: dynamic, regulation, problems, consistency, data, risk, accuracy, ability. Scope: data collected through Form PF; FSOC evaluation of nonbank systemic risk.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 4,
  "sourceRank": 3327,
  "retrievedAt": "2026-07-31T13:58:16.518Z",
  "citationCount": 0,
  "venue": "Ingegneria sismica",
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   "Review"
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 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
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