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 "text": "Speech Breathing in Virtual Humans: An Interactive Model and Empirical Study should be assessed against Kaal's source-bound claim that In the dynamic regulatory framework, feedback effects and real time information permit regulatory intervention if and only when it is needed, which avoids stunting innovation through negative early signals, the inability to keep pace with later stage innovation, and information asymmetries. 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.",
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  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "dynamic-regulation"
 ],
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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."
 ],
 "currentDebate": {
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  "url": "https://www.semanticscholar.org/paper/773bbde22e0726292d4e37516d171993779ede67"
 },
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  "url": "https://wulfkaal.github.io/claims/2831040-026",
  "citation": "Wulf A. Kaal, Dynamic Regulation for Innovation (2016). SSRN: https://ssrn.com/abstract=2831040",
  "paper": "Dynamic Regulation for Innovation",
  "authors": [
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 "review_provenance": "https://kaal-signal-desk.wulf577462.chatgpt.site/#review",
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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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 "mappingWhyRelevant": "Shared high-information concepts: dynamic, regulation, through, signals, real, time, effects. Scope: theoretical dynamic regulatory framework.",
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  "retrievedAt": "2026-07-31T13:58:16.518Z",
  "citationCount": 6,
  "venue": "2019 IEEE Virtual Humans and Crowds for Immersive Environments (VHCIE)",
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