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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Cloning Resource Exchange And Relation Adaptation A Self Organising Mult C7B7912E75",
 "text": "Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework presents the following source proposition: In this way, agents in this framework can adapt to dynamic environments. This proposition is pertinent to Kaal's source-bound claim that Centralized AI structures for monitoring AI agents create a self referential loop that is prone to systemic biases and blind spots, and their rigidity prevents adaptation to the dynamic nature of AI. 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",
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  "scholarly-literature",
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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: 0.3847.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "name": "Cloning, resource exchange and relation adaptation: a self-organising multi-agent framework",
  "url": "https://doi.org/10.65109/agex6003"
 },
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  "url": "https://wulfkaal.github.io/claims/5245185-026",
  "citation": "Wulf A. Kaal, How can we Best Monitor AI Agents (2025). SSRN: https://ssrn.com/abstract=5245185",
  "paper": "Wulf A. Kaal, How can we Best Monitor AI Agents",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2025",
  "ssrn": "https://ssrn.com/abstract=5245185",
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   "url": "https://doi.org/10.65109/agex6003"
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 ],
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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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 "mappingMethod": "idf-weighted multi-field mapping v1",
 "mappingWhyRelevant": "Shared high-information concepts: adaptation, self, agent, agents, adapt, dynamic. Scope: centralized AI systems used to supervise AI agents.",
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  "queryId": "concept:a2c487c0792c",
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  "workId": "work:doi:10.65109/agex6003",
  "workAuthors": [
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   "Danny Sutanto"
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: adaptation, self, agent, agents, adapt, dynamic. Scope: centralized AI systems used to supervise AI agents.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: adaptation, framework, adapt, dynamic. Scope: review source claim scope.",
    "ambiguous": true
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    "whyRelevant": "Shared high-information concepts: multi, agent, framework, agents. Scope: multiple agents competing on the same job.",
    "ambiguous": true
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    "method": "idf-weighted multi-field mapping v1",
    "whyRelevant": "Shared high-information concepts: multi, agent, framework, agents. Scope: validators actively penalize detected collusion; honest agents compete on quality in the same jobs.",
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