kazene-royalty-os-v3 is an open specification for a royalty-processing OS that converts AI access to creative works into a governed cycle of **permission, trace, and allocation**.
A minimal protocol for issuing hash-based, non-monetary gratitude receipts between AI agents, humans, and systems.
Kazene Model of Network Intelligence: a trace-based theory of network intelligence built on gratitude, trust, and value circulation among humans, AI agents, and protocols.
Bridge specification connecting RSL 1.0 external licensing with Kazene Royalty OS v3.0 access, trace, and royalty layers.
Example audit records for applying KTP Trace Intelligence to origin candidates, implicit absorption, blended influence, and disputed trace claims.
An uncertainty-aware contribution assessment model for interval-based royalty allocation, trace evaluation, and dispute-resistant value distribution.
Layer 0 of the Kazene Structure: Wuji Field v0.1 — a pre-polarization protocol for receiving pressure without reactive capture, preserving trace before judgment.
kazene-royalty-extension-github is an extension specification that connects GitHub repositories, Copilot-era code usage, and developer contribution traces to the governed cycle of permission, trace, and allocation.
A minimal trace receipt protocol for zero-click AI consumption, generative transformation, origin audit, and royalty-readiness in Omni-style AI environments.
A non-monetary protocol for AI-generated gratitude marks, bridging Existence Proof OS and Royalty OS.
A minimal event layer for converting trace, access, reuse, and influence signals into Royalty OS allocation-ready events.
Value-Circulating Network Intelligence Architecture
Four-layer integration model connecting RSL Collective, the RSL-to-Kazene Bridge, and Kazene Royalty OS for permission, reconciliation, and trace-based royalty return.
Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.
A draft specification for recording communication-derived trace events across humans, AIs, and agents.
A machine-readable readiness layer for determining whether evidence can proceed to allocation review without assigning royalties or executing payments.
Evidence-object extensions for Structure Fingerprint: comparison, lineage, and allocation-readiness layers for structured review workflows.
A minimal specification for recording origin candidates and trace intelligence claims within the Kazene Trace Protocol.
Trust OS is the trust layer between Gratitude OS and Royalty OS. It aggregates individual gratitude marks into contributor-level trust profiles, converting recognition into a continuous trust state.
A minimal specification for measuring Question Gravitational Field: the structural influence of questions across AI, trace, lineage, and civilizational systems.
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