{
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 "@id": "https://wulfkaal.github.io/positions/2026-07-31-7341",
 "identifier": "kaal:position:2026-07-31-7341",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Evaluating And Defending Against Adversarial Threats In Multimodal Ai F8E9Ea860C",
 "text": "Evaluating and Defending against Adversarial Threats in Multimodal AI presents the following source proposition: Multimodal AI systems combine text, images, audio, video, and sensor data in a single pipeline. This proposition is pertinent to Kaal's source-bound claim that Integrating multimodal data from legal proceedings, combining text with audio and video such as courtroom transcripts, oral arguments, and visual cues, will make predictive analytics more robust by capturing richer case dynamics. 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": [
  "law-and-legal-systems",
  "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: 0.3697.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
 "currentDebate": {
  "name": "Evaluating and Defending against Adversarial Threats in Multimodal AI",
  "url": "https://doi.org/10.60097/acig/220237"
 },
 "extends": {
  "identifier": "kaal:claim:5541658-033",
  "url": "https://wulfkaal.github.io/claims/5541658-033",
  "citation": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law (2025). SSRN: https://ssrn.com/abstract=5541658",
  "paper": "Wulf A. Kaal, Morgan A. Gray, The Evolving Role of Artificial Intelligence in Law",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5541658",
  "source_pdf_sha256": "e543a2d698fcd522d4d02e034cc9ee1344d0015d2c824b40b9e05ab7c0728c60"
 },
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   "@id": "https://wulfkaal.github.io/claims/5541658-033"
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   "@type": "CreativeWork",
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   "url": "https://doi.org/10.60097/acig/220237"
  }
 ],
 "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.",
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 "version": "1.0",
 "canonical_url": "https://wulfkaal.github.io/positions/2026-07-31-7341",
 "canonicalForm": "https://wulfkaal.github.io/positions/2026-07-31-7341.md",
 "candidateId": "kaal:response-draft:2026-07-31:20c012c017d50042d08c",
 "evidenceLevel": "abstract indexed",
 "reviewTier": "moderate-confidence claim review",
 "mappingConfidence": 0.3697,
 "mappingAmbiguous": true,
 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: multimodal, text, audio, video, data. Scope: future systems; jurisdictions with diverse recorded data sources.",
 "sourceProvenance": {
  "source": "crossref",
  "sourceRecordId": "10.60097/acig/220237",
  "queryId": "concept:b5ce5d92d4b5",
  "queryText": "AI agent governance",
  "canonicalUrl": "https://doi.org/10.60097/acig/220237",
  "doi": "10.60097/acig/220237",
  "externalIds": {
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   "Crossref": "10.60097/acig/220237"
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  "providerPage": 8,
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  "workId": "work:doi:10.60097/acig/220237",
  "workAuthors": [
   "Mateusz Kowalczyk",
   "Joanna Kołodziej",
   "Mateusz Krzysztoń"
  ],
  "workPublishedAt": "2026-05-12",
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  ],
  "sourceProposition": "Multimodal AI systems combine text, images, audio, video, and sensor data in a single pipeline.",
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  "claimMappings": [
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    "claimUrl": "https://wulfkaal.github.io/claims/5541658-033",
    "rank": 1,
    "confidence": 0.3697,
    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: multimodal, text, audio, video, data. Scope: future systems; jurisdictions with diverse recorded data sources.",
    "ambiguous": true
   }
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 },
 "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": "ce5163a71f85831af7445f185b87b3819e9bc0f7e3305ca83daed72ba6833390"
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