{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-4028",
 "identifier": "kaal:position:2026-07-31-4028",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Historical 6E4650D68Bcb6F6E8292",
 "text": "Nonlinear PID Pressure Control Based on Extremum Seeking should be assessed against Kaal's source-bound claim that Evidence exists that the suboptimal ex post timing of rulemaking in the existing regulatory infrastructure regularly forces expedited rulemaking, which in turn produces suboptimal regulatory outcomes. 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",
 "keywords": [
  "dynamic-regulation",
  "regulatory-failure"
 ],
 "scope_conditions": [
  "crisis-driven and post-crisis legislative episodes",
  "existing regulatory infrastructure",
  "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": "Nonlinear PID Pressure Control Based on Extremum Seeking",
  "url": "https://www.semanticscholar.org/paper/32d9605ace22c285e22313254ce6ebf779de6c47"
 },
 "extends": {
  "identifier": "kaal:claim:2808132-025",
  "url": "https://wulfkaal.github.io/claims/2808132-025",
  "citation": "Wulf A. Kaal, Erik P.M. Vermeulen, How to Regulate Disruptive Innovation - From Facts to Data (2016). SSRN: https://ssrn.com/abstract=2808132",
  "paper": "Erik P.M. Vermeulen, How to Regulate Disruptive Innovation - From Facts to Data",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2016",
  "ssrn": "https://ssrn.com/abstract=2808132",
  "source_pdf_sha256": "3515f2317ed9c1d33ae55d70467cdf1f6c4e350065ea6a887d5d7619599ad7d2"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/2808132-025"
  },
  {
   "@type": "CreativeWork",
   "name": "Nonlinear PID Pressure Control Based on Extremum Seeking",
   "url": "https://www.semanticscholar.org/paper/32d9605ace22c285e22313254ce6ebf779de6c47"
  }
 ],
 "batch_id": "historical-backfill:2026-07-31:phase-0017",
 "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/2026-07-31-4028",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-4028.md",
 "candidateId": "kaal:response-candidate:2026-07-31:7109479c7b8f47d1",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "ambiguity triage before claim review",
 "mappingConfidence": 0.2226,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: pressure, regulate, turn, dynamic, regulation, results. Scope: crisis-driven and post-crisis legislative episodes; existing regulatory infrastructure.",
 "sourceProvenance": {
  "source": "Semantic Scholar",
  "api": "https://api.semanticscholar.org/graph/v1/paper/search/bulk",
  "query": "dynamic regulation",
  "queryId": "concept:516a267369f9",
  "page": 2,
  "sourceRank": 1574,
  "retrievedAt": "2026-07-31T13:58:14.237Z",
  "citationCount": 2,
  "venue": "Cybersecurity and Cyberforensics Conference",
  "publicationTypes": [
   "Conference"
  ]
 },
 "userAffirmation": "Approved as written by Wulf A. Kaal on 2026-07-31.",
 "sha256": "a579d190a72aede0642e4454974aed32bb667f78eabd857790dbca5411de168c"
}