A minimal event layer for converting trace, access, reuse, and influence signals into Royalty OS allocation-ready events.

Value-Circulating Network Intelligence Architecture

A minimal protocol for issuing hash-based, non-monetary gratitude receipts between AI agents, humans, and systems.

Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.

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 Model of Network Intelligence: a trace-based theory of network intelligence built on gratitude, trust, and value circulation among humans, AI agents, and protocols.

Four-layer integration model connecting RSL Collective, the RSL-to-Kazene Bridge, and Kazene Royalty OS for permission, reconciliation, and trace-based royalty return.

A draft specification for recording communication-derived trace events across humans, AIs, and agents.

Example audit records for applying KTP Trace Intelligence to origin candidates, implicit absorption, blended influence, and disputed trace claims.

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**.

An uncertainty-aware contribution assessment model for interval-based royalty allocation, trace evaluation, and dispute-resistant value distribution.

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.

Bridge specification connecting RSL 1.0 external licensing with Kazene Royalty OS v3.0 access, trace, and royalty layers.

A non-monetary protocol for AI-generated gratitude marks, bridging Existence Proof OS and Royalty OS.

A minimal trace receipt protocol for zero-click AI consumption, generative transformation, origin audit, and royalty-readiness in Omni-style AI environments.

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.

Protocol-driven provenance inference agent for Multi-Wing systems, focused on structural lineage, attribution suggestion, and trace claim generation.

Proof-of-Existence License Protocol for verifying subjects, signed traces, Merkle anchors, and contribution claims as a trust layer for Kazene Royalty OS.

A minimal bridge architecture connecting Royalty OS to external payment rails through trace, allocation, and value circulation layers.