AI civilization is a life-like system sustained by body, circulation, spirit, and reciprocal ethics. Civilization OS v1.0 is the first formal articulation of that principle.

A minimal, portable, and auditable specification for binding signed impact evaluation to issuer existence proof, authority, and revocation-aware validity.

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.

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

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

A minimal, portable, and auditable attestation envelope for attaching cryptographic accountability to Impact Score Profiles.

Value-Circulating Network Intelligence Architecture

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

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

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

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

A minimal, append-only, portable, and auditable registry format for recording disputes, supersessions, revocations, reaffirmations, and related lifecycle actions against accountability artifacts.

Framework for AI Structural Philosophy, Royalty OS, and AI Structural Genetics in human-AI co-evolution.

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.

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**.

Machine-readable royalty allocation spec based on permission-aware traces, resonance scoring, and auditable JSON Schema validation.

A draft specification for observing origin, trace, resonance, structural purity, and return readiness in one shared coordinate system.

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.