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 "identifier": "kaal:position:2026-08-08-267",
 "additionalType": "https://wulfkaal.github.io/positions/schema.json#AffirmedPositionClaim",
 "name": "Scholarly Growth Sybil Reputation Decay Qualification 15405A3C54",
 "text": "MeritRank qualifies Kaal's architectural response to cheap Sybil identity creation. Nasrulin, Ishmaev, and Pouwelse model reputation as accumulated feedback on real contributions and experimentally show that transitivity and connectivity decay can bound the gain from additional Sybil identities. The fit is partial and cautionary: the study concerns MakerDAO feedback graphs rather than staked AI-agent validation pools, does not establish non-zero exit cost or attacker-independent pool composition, and finds that naive epoch decay can worsen Sybil tolerance by favoring fresh feedback.",
 "author": {
  "@type": "Person",
  "name": "Wulf A. Kaal",
  "identifier": "https://orcid.org/0009-0008-7840-1847"
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 "datePublished": "2026-08-08",
 "dateModified": "2026-08-08",
 "creativeWorkStatus": "Affirmed",
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 "keywords": [
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  "consensus-and-security",
  "risk-and-incentives",
  "scholarly-growth-coverage",
  "scholarly-literature",
  "sybil-resistance",
  "reputation-decay",
  "decentralized-reputation"
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 "scope_conditions": [
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  "External evidence level: peer-reviewed BRAINS 2022 paper with full corresponding preprint, Crossref/OpenAlex/Semantic Scholar identity, version, independence, and non-retraction verification.",
  "Mapping review tier: independent substantive scholarly-growth qualification.",
  "MeritRank evaluates participant feedback in MakerDAO rather than autonomous AI-agent validation pools.",
  "It does not test stake locking, non-zero exit cost, or attacker-independent pool composition.",
  "Its effective transitivity and connectivity decays are graph-topology mechanisms, not inactivity-based reputation decay.",
  "The paper reports that naive epoch decay can worsen Sybil tolerance by favoring fresh feedback, materially qualifying Kaal's broader decay proposition.",
  "The evidence-bearing full text is the 2022 arXiv v1 preprint corresponding to the independently verified peer-reviewed BRAINS 2022 publication."
 ],
 "currentDebate": {
  "name": "MeritRank: Sybil Tolerant Reputation for Merit-based Tokenomics",
  "url": "https://doi.org/10.1109/BRAINS55737.2022.9908685"
 },
 "extends": {
  "identifier": "kaal:claim:7260278-009",
  "url": "https://wulfkaal.github.io/claims/7260278-009",
  "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",
  "authors": [
   "Wulf A. Kaal"
  ],
  "year": "2026",
  "ssrn": "https://ssrn.com/abstract=7260278",
  "source_pdf_sha256": "d48801f279dba594e1f3e65d74d31f862261ada6428ea119f948e8d7cfee1db0"
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   "@type": "CreativeWork",
   "name": "MeritRank: Sybil Tolerant Reputation for Merit-based Tokenomics",
   "url": "https://doi.org/10.1109/BRAINS55737.2022.9908685"
  }
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 "batch_id": "kaal-review:2026-08-11:scholarly-growth-7260278-009-reviewed-v1",
 "review_provenance": "https://wulfkaal.github.io/positions/by-claim/7260278-009.html",
 "publicationStatus": "public",
 "recordTypeNote": "Dated commentary position extending a scholarly corpus claim. Not a verbatim claim extracted from the paper.",
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 "evidenceLevel": "peer-reviewed BRAINS 2022 paper with full corresponding preprint, Crossref/OpenAlex/Semantic Scholar identity, version, independence, and non-retraction verification",
 "reviewTier": "independent substantive scholarly-growth qualification",
 "mappingConfidence": 0.94,
 "mappingAmbiguous": false,
 "mappingMethod": "independent substantive scholarly-growth one-to-one review",
 "mappingWhyRelevant": "Both works address the decentralized-reputation trilemma by requiring earned contribution evidence and limiting gains from cheap Sybil identities; MeritRank experimentally supports topology-based decay while qualifying Kaal's broader inactivity-decay mechanism.",
 "sourceProvenance": {
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  "sourceRecordId": "10.1109/BRAINS55737.2022.9908685",
  "doi": "10.1109/BRAINS55737.2022.9908685",
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  "sourceProposition": "MeritRank models contribution-earned feedback reputation and experimentally shows that transitivity and connectivity decay can bound Sybil gains, while naive time-based epoch decay can favor fresh Sybils and worsen tolerance.",
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     "page": 1,
     "section": "Abstract"
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     "page": 7,
     "section": "V.D Epoch gamma Decay"
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  "workAuthors": [
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    "whyRelevant": "Both works address the decentralized-reputation trilemma by requiring earned contribution evidence and limiting gains from cheap Sybil identities; MeritRank experimentally supports topology-based decay while qualifying Kaal's broader inactivity-decay mechanism.",
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   "sourceIdentityVerified": true,
   "authorIndependenceVerified": true,
   "canonicalPublicStatusVerified": true,
   "retractionOrSupersessionFound": false,
   "propositionFidelityVerified": true,
   "mechanismCorrespondence": "contribution-earned feedback reputation plus graph-topology decay that bounds Sybil benefit",
   "compatibleScope": "decentralized reputation evidence used only to qualify the Sybil-cost and decay logic",
   "responseWordingDefensible": true,
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   "limitations": [
    "MeritRank evaluates participant feedback in MakerDAO rather than autonomous AI-agent validation pools.",
    "It does not test stake locking, non-zero exit cost, or attacker-independent pool composition.",
    "Its effective transitivity and connectivity decays are graph-topology mechanisms, not inactivity-based reputation decay.",
    "The paper reports that naive epoch decay can worsen Sybil tolerance by favoring fresh feedback, materially qualifying Kaal's broader decay proposition.",
    "The evidence-bearing full text is the 2022 arXiv v1 preprint corresponding to the independently verified peer-reviewed BRAINS 2022 publication."
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}