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 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Streaming A Model Based Solution To The Offline Multi Agent Reinforcement Learning A27Bd79B93",
 "text": "A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem presents the following source proposition: Training multiple agents to coordinate is an essential problem with applications in robotics, game theory, economics, and social sciences. This proposition is pertinent to Kaal's source-bound claim that Multi agent competition improves attack resistance because it creates multiple attack surfaces that must all succeed simultaneously, and citation transparency makes collusion detectable; with a fifty percent quality penalty for detected collusion the corruption cost doubles relative to the original framework. 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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  "economics",
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  "External evidence level: abstract indexed.",
  "Mapping review tier: moderate-confidence claim review.",
  "Primary mapping confidence: 0.4075.",
  "The source-to-claim mapping remains explicitly ambiguous and is published with that limitation."
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  "name": "A Model-Based Solution to the Offline Multi-Agent Reinforcement Learning Coordination Problem",
  "url": "https://doi.org/10.65109/vzns8734"
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  "url": "https://wulfkaal.github.io/claims/6192998-032",
  "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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  "year": "2026",
  "ssrn": "https://ssrn.com/abstract=6192998",
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   "url": "https://doi.org/10.65109/vzns8734"
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    "whyRelevant": "Shared high-information concepts: solution, problem, theory, economics. Scope: holds for post scarce cognitive and digital inputs, not for materially scarce goods.",
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