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 "name": "Scholarly Growth Recency Identity Premium Qualification",
 "text": "Vu, Zhang, and Aberer independently instantiate a narrower version of Kaal's two-ended temporal constraint. Their provider-selection protocol considers only the provider's most recent interaction and can blacklist a provider after recent cheating, so a large stock of older standing cannot indefinitely mask current behavior. Separately, a provider's pseudonym acquires an identity premium that increases with tenure; leaving and rejoining forfeits that accumulated value, making whitewashing non-optimal for a rational provider. This qualifies rather than fully validates Kaal's design: the source models a human service marketplace, uses a most-recent-rating rule rather than continuous score decay, and imposes an economic identity premium rather than Kaal's non-transferable REP and broader institutional history.",
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  "The retained source studies rational human service providers in an online marketplace, not autonomous AI agents.",
  "Its provider-selection protocol uses the most recent interaction rather than continuously decaying a numerical reputation score.",
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  "The model assumes bounded cheating gains and a dishonesty detector with a known error bound; it does not test Kaal's validation pools, capability tags, staking, settlement, or production security."
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  "name": "USING IDENTITY PREMIUM FOR HONESTY ENFORCEMENT AND WHITEWASHING PREVENTION",
  "url": "https://doi.org/10.1111/coin.12032"
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  "url": "https://wulfkaal.github.io/claims/7260278-027",
  "citation": "Wulf A. Kaal, Paper 2 - Architecture of the Agentic Reputation Substrate (2026). SSRN: https://ssrn.com/abstract=7260278",
  "paper": "Wulf A. Kaal, Paper 2 - Architecture of the Agentic Reputation Substrate",
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 "mappingWhyRelevant": "Both propositions address the two temporal escape routes in a reputation system: sheltering behind older standing despite recent defection and abandoning the identity to erase accumulated consequences.",
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    "text": "Specifically, the reliability of the most recent rating on each eligible provider is evaluated to determine whether the provider defected in the last transaction with a previous client.",
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    "text": "Under this pricing scheme, an initially cheap pseudonym would have an increasingly significant value over time, thereby effectively eliminating the incentive of switching identities and whitewashing bad behavior of any opportunistic provider.",
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