{
 "@context": "https://schema.org",
 "@type": "Claim",
 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7315",
 "identifier": "kaal:position:2026-07-31-7315",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming An Auditable Ai Agent Loop For Empirical Economics A Case Study In Forec 6F9Fc4Da87",
 "text": "An Auditable AI Agent Loop for Empirical Economics A Case Study in Forecast Combination presents the following source proposition: AI coding agents make empirical specification search fast and cheap, but they also widen hidden researcher degrees of freedom. This proposition is pertinent to Kaal's source-bound claim that DAOs will eventually overtake any organization that lacks their incentives and efficiencies, and because DAOs are cheap and straightforward to clone this will potentially lead to more competition. 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"
 },
 "datePublished": "2026-07-31",
 "dateModified": "2026-07-31",
 "creativeWorkStatus": "Affirmed",
 "responseType": "extension",
 "keywords": [
  "dao",
  "blockchain",
  "economics",
  "institutional-design",
  "historical-response",
  "scholarly-literature",
  "crossref"
 ],
 "scope_conditions": [
  "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: 0.3664.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "An Auditable AI Agent Loop for Empirical Economics A Case Study in Forecast Combination",
  "url": "https://doi.org/10.2139/ssrn.6515164"
 },
 "extends": {
  "identifier": "kaal:claim:3227967-031",
  "url": "https://wulfkaal.github.io/claims/3227967-031",
  "citation": "Mark Fenwick, Wulf A. Kaal, Erik P.M. Vermeulen, Legal Education in a Digital Age Why 'Coding for Lawyers' Matters (2018). SSRN: https://ssrn.com/abstract=3227967",
  "paper": "Mark Fenwick, Wulf A. Kaal, Erik P.M. Vermeulen, Legal Education in a Digital Age Why 'Coding for Lawyers' Matters",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2018",
  "ssrn": "https://ssrn.com/abstract=3227967",
  "source_pdf_sha256": "f6e13b956f864ab32ec3305d095a35a127770327d75b3688f785cefc437d369f"
 },
 "isBasedOn": [
  {
   "@id": "https://wulfkaal.github.io/claims/3227967-031"
  },
  {
   "@type": "CreativeWork",
   "name": "An Auditable AI Agent Loop for Empirical Economics A Case Study in Forecast Combination",
   "url": "https://doi.org/10.2139/ssrn.6515164"
  }
 ],
 "batch_id": "kaal-review:2026-07-31:streaming-etl-0008",
 "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/2026-07-31-7315",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7315.md",
 "candidateId": "kaal:response-draft:2026-07-31:3dc7c79b8ab532fb38fe",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3664,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: economics, coding, cheap, also. Scope: comparison with organizations lacking DAO incentives and efficiencies.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.2139/ssrn.6515164",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.2139/ssrn.6515164",
  "doi": "10.2139/ssrn.6515164",
  "externalIds": {
   "DOI": "10.2139/ssrn.6515164",
   "Crossref": "10.2139/ssrn.6515164"
  },
  "retrievedAt": "2026-07-31T20:34:02.256Z",
  "providerPage": 7,
  "rawObservationSha256": "16459edcb4d7ab97cde8156931c0f4c4ff0c3c8f6d412754f77291aca1e5a611",
  "inputSnapshotSha256": "95f3c3e1638ca36a1683b7a07036b5ed8191ad7a1549b24a5ebff941a468f5ce",
  "inputLine": 1593,
  "chunkId": "crossref-00007",
  "workId": "work:doi:10.2139/ssrn.6515164",
  "workAuthors": [
   "Minchul Shin"
  ],
  "workPublishedAt": "2026-01-01",
  "identityKeys": [
   "doi:10.2139/ssrn.6515164",
   "crossref:10.2139/ssrn.6515164",
   "url:https://doi.org/10.2139/ssrn.6515164",
   "title:453f4e319a1b6f0c6d73b4f5",
   "proposition:1775a2eb95af3709c30c57f7a2fc4ba1d491a801d0e43de2f8fc5e79c93a865c"
  ],
  "sourceProposition": "AI coding agents make empirical specification search fast and cheap, but they also widen hidden researcher degrees of freedom.",
  "sourcePropositionSha256": "4f5001431931fb1ca742fa3d6016e6b4c7203d144d56436d0c4656288dfa67c6",
  "sourcePropositionIndex": 0,
  "claimMappings": [
   {
    "claimId": "kaal:claim:3227967-031",
    "claimUrl": "https://wulfkaal.github.io/claims/3227967-031",
    "rank": 1,
    "confidence": 0.3664,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: economics, coding, cheap, also. Scope: comparison with organizations lacking DAO incentives and efficiencies.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:6421319-020",
    "claimUrl": "https://wulfkaal.github.io/claims/6421319-020",
    "rank": 2,
    "confidence": 0.3513,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: agent, economics, make, degrees. Scope: conditional on capability being directly and costlessly observable.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:6192998-018",
    "claimUrl": "https://wulfkaal.github.io/claims/6192998-018",
    "rank": 3,
    "confidence": 0.3459,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: agent, empirical, economics, agents, but. Scope: reputation correlates with true quality only imperfectly.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:5886442-019",
    "claimUrl": "https://wulfkaal.github.io/claims/5886442-019",
    "rank": 4,
    "confidence": 0.3284,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: economics, but, they, hidden. Scope: holds among artificial agents, not for the remaining human layer.",
    "ambiguous": true
   },
   {
    "claimId": "kaal:claim:3411110-012",
    "claimUrl": "https://wulfkaal.github.io/claims/3411110-012",
    "rank": 5,
    "confidence": 0.3282,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: economics, coding, agents, they. Scope: fully blockchain based trading and settlement models.",
    "ambiguous": true
   }
  ]
 },
 "userAffirmation": "I affirm batch kaal-review:2026-07-31:streaming-etl-0008, SHA-256 469be3af77a43b8a86f52c2e8253882abdefc7a0da53c392329c3cb8a11e8160, as written and authorize publication of all 250 response claims on my canonical property, preserving their evidence levels, ambiguity labels, provenance, and the unchanged 5,033 scholarly claims.",
 "sha256": "4a7bd8c25795e4e301b68f7e0aa54c2d5f838c79136cde34dfa09ca09d610dce"
}
