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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming Knowledge Compounding An Empirical Economic Analysis Of Self Evolving Kn 38E33E53B3",
 "text": "Knowledge Compounding: An Empirical Economic Analysis of Self-Evolving Knowledge Wikis under the Agentic ROI Framework presents the following source proposition: (2026), this paper introduces knowledge compounding as a new measurable concept in the empirical economics of LLM agents and validates it through a controlled four-query experiment on Qing Claw, an industrial-grade C# reimplementation of the OpenClaw multi-agent framework. This proposition is pertinent to Kaal's source-bound claim that Multi agent competitive collaboration captures a diversity dividend worth more than half a standard deviation of quality improvement while enabling attribution through citation graphs. 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": {
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "openalex"
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.3612.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
 ],
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  "url": "https://arxiv.org/abs/2604.11243"
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  "url": "https://wulfkaal.github.io/claims/6192998-019",
  "citation": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution (2026). SSRN: https://ssrn.com/abstract=6192998",
  "paper": "Wulf A. Kaal, Evolution of Domain-Specific Reputation Systems From Binary Validation to Citation-Weighted Knowledge Attribution",
  "authors": [
   "Wulf A. Kaal"
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  "ssrn": "https://ssrn.com/abstract=6192998",
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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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 "evidenceLevel": "abstract indexed",
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    "whyRelevant": "Shared high-information concepts: knowledge, framework, 2026, economics, agents, multi, agent, domain. Scope: validators actively penalize detected collusion; honest agents compete on quality in the same jobs.",
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