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 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7406",
 "identifier": "kaal:position:2026-07-31-7406",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Runtime Governance At The Execution Boundary Why Ai Compliance Fails Bet 2208523941",
 "text": "Runtime Governance at the Execution Boundary: Why AI Compliance Fails Between Prediction and Action presents the following source proposition: Current governance approaches operate around models, not within the decision path. This proposition is pertinent to Kaal's source-bound claim that Because 63.47 percent of the sampled agreements were executed even after the corporation had already instituted preemptive remedial measures, the current quantity, quality, comprehensiveness, and effectiveness of those preemptive measures may be insufficient to prevent an agreement. The proposed response is an extension: the relationship should remain limited to the retrieved source proposition and the mapped Kaal claim unless fuller source review supports a broader conclusion.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
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  "governance-design",
  "corporate-governance",
  "empirical-evidence",
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  "scholarly-literature",
  "crossref"
 ],
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  "The response is limited to the retrieved source proposition and mapped Kaal claim unless fuller source review supports a broader conclusion.",
  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4027.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Runtime Governance at the Execution Boundary: Why AI Compliance Fails Between Prediction and Action",
  "url": "https://doi.org/10.2139/ssrn.6979518"
 },
 "extends": {
  "identifier": "kaal:claim:2486570-025",
  "url": "https://wulfkaal.github.io/claims/2486570-025",
  "citation": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20 (2014). SSRN: https://ssrn.com/abstract=2486570",
  "paper": "Wulf A. Kaal, Timothy Lacine, The Effect of Deferred and Non-Prosecution Agreements on Corporate Governance Evidence from 1993-20",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2014",
  "ssrn": "https://ssrn.com/abstract=2486570",
  "source_pdf_sha256": "8c3981c9a55d8a3fe59a01660584eebc3feb3fb9109ca65344095bebe4ae49a4"
 },
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   "url": "https://doi.org/10.2139/ssrn.6979518"
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 "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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 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: governance, execution, compliance, current. Scope: review source claim scope.",
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  "queryText": "AI agent governance",
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  "workAuthors": [
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    "whyRelevant": "Shared high-information concepts: governance, execution, compliance, decision. Scope: monitoring of AI agent transaction execution in modern digital infrastructures.",
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    "whyRelevant": "Shared high-information concepts: compliance, operate, not, within. Scope: health care companies dependent on federal health care program participation.",
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: governance, compliance, between, within. Scope: under the issuer-pays rating model for CDOs.",
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    "whyRelevant": "Shared high-information concepts: compliance, around, decision. Scope: advisers approaching $1.5 billion in AUM; per reporting fund cost basis.",
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