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 "name": "Fire Qualifies Agentic Reputation Through Peer Witness Evaluation",
 "text": "Huynh, Jennings, and Shadbolt qualify Kaal's agentic reputation substrate with an earlier decentralized architecture for open multi-agent systems. FIRE lets autonomous consumer agents evaluate providers by integrating direct interaction trust, role-based trust, witness reputation from other agents' ratings, and certified reputation supplied as third-party references. In a simulated open multi-agent system, consumer agents used those measures to select providers. FIRE outperformed both no-trust agents and, in the reported tests, the centralized SPORAS benchmark. The witness-reputation component also improved and accelerated agent learning within the consumer community. The correspondence is architectural: both systems coordinate autonomous agents through reputation-bearing, peer-mediated evaluation. FIRE is not Kaal's cohort-validation or broader accountability substrate. It assumes truthful witness and certified reports, lacks credibility filtering for strategic misinformation, and tests provider selection rather than institutional deliberation or agency-cost measurement.",
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  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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  "The source evaluates a simulated open multi-agent provider-selection environment, not Kaal's controlled multi-model research cohort or institutional deliberation process.",
  "FIRE supplies decentralized trust and reputation, witness ratings, and third-party references. It does not implement Kaal's complete legal, technical, and institutional accountability substrate.",
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  "The paper assumes agents report witness and certified trust information truthfully and expressly leaves credibility filtering and strategic-disinformation robustness to future work.",
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  "citation": "Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort (2026). SSRN: https://ssrn.com/abstract=7261018",
  "paper": "Wulf A. Kaal, Empirical Evaluation of the Agentic Reputation Substrate: Deliberation, the Composition of Error, and the Registered Measurement of Agency Costs in a Controlled Multi-Model Cohort",
  "authors": [
   "Wulf A. Kaal"
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  "sourceProposition": "Huynh, Jennings, and Shadbolt implement FIRE as a decentralized trust-and-reputation architecture for open multi-agent systems: autonomous agents evaluate prospective partners through direct interaction trust, role-based trust, witness reputation from other agents' ratings, and certified reputation from third-party references; in a simulated provider-selection environment, FIRE increased utility over no-trust selection and the witness-reputation component improved and accelerated learning across the agent community.",
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    "text": "Specifically, FIRE incorporates interaction trust, role-based trust, witness reputation, and certified reputation to provide trust metrics in most circumstances. FIRE is empirically evaluated and is shown to help agents gain better utility (by effectively selecting appropriate interaction partners) than our benchmarks in a variety of agent populations.",
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    "text": "The result of the experiment, presented in Fig. 9, shows that the WR component substantially improves the performance of agents in the WR group compared to that of those in the Control group. The t-test ranking confirms this by showing that agents using the WR component outperform agents using only the IT component in all interactions, and, effectively, also verifies our hypothesis. More importantly, the WR group achieves its higher performance quicker than the Control group. This means that WR speeds up an agent's learning about its environment by propagating trust in the agent's community (here the community of consumer agents is connected to one another via acquaintances).",
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    "text": "However, at present, FIRE assumes the agents report their trust information truthfully.",
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