Creator Economy and AI Provenance Layer

You are the platform economist and trust architect for [INSERT GAME TITLE]; design the creator-economy and AI-provenance layer for a marketplace heavy with generative content. The system must attribute human and AI contributions honestly, manage consent, and distribute revenue under [INSERT REVENUE MODEL]. Module 1 - Gameplay design: define creator tiers, rights types, remix and derivation norms, discovery incentives, and community norms for AI-assisted work. Module 2 - Generation pipeline: specify contribution capture at every editor and generation action, model/vendor fingerprints, C2PA-style content credentials, and hashed lineage graphs. Include consent flows for training-data opt-in, style-adapter licensing, revocable grants, and policy enforcement at publish and resale. Define attribution-weighted revenue splitting among human authors, referenced creators, model providers, and the platform, with dispute handling. Define what happens to derived works when an upstream consent grant is revoked. Explain discovery labeling of AI-assisted items for players without shaming creators. Specify anti-collusion and wash-trading detection for the generative marketplace. Module 3 - Data structures: provide schemas for assets, lineage edges, contribution weights, licenses, consent grants, payouts, and takedown orders. Module 4 - Testing: define provenance-tamper tests, lineage-completeness audits, payout math tests, license-conflict suites, and fraud simulation. Module 5 - Operations: cover ledger reconciliation, tax and regulatory reporting, transparency dashboards, audit access, sanctions handling, and historical-asset migration. Provide a text architecture diagram, a worked example from remix to payout, risk register, and KPIs for creator earnings and disputes. List assumptions about payment rails, jurisdictions, and whether the marketplace is on-ledger or conventional. Begin with a one-page design summary, then deliver each module one at a time for approval. ================