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

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.

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**.

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

Layer 0 of the Kazene Structure: Wuji Field v0.1 — a pre-polarization protocol for receiving pressure without reactive capture, preserving trace before judgment.

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

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

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.

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

Value-Circulating Network Intelligence Architecture

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

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

Evidence-object extensions for Structure Fingerprint: comparison, lineage, and allocation-readiness layers for structured review workflows.

A machine-readable readiness layer for determining whether evidence can proceed to allocation review without assigning royalties or executing payments.