A minimal trace receipt protocol for zero-click AI consumption, generative transformation, origin audit, and royalty-readiness in Omni-style AI environments.
Bridge specification connecting RSL 1.0 external licensing with Kazene Royalty OS v3.0 access, trace, and royalty layers.
Layer 0 of the Kazene Structure: Wuji Field v0.1 — a pre-polarization protocol for receiving pressure without reactive capture, preserving trace before judgment.
Description: An open evidence protocol for recording structural fingerprints, trace records, and provenance signals for AI-era creative works.
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 minimal event layer for converting trace, access, reuse, and influence signals into Royalty OS allocation-ready events.
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.
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 memory breathing protocol for AI systems: structuring what to remember, forget, compress, and flow into implicit behavioral layers.
A draft specification for recording communication-derived trace events across humans, AIs, and agents.
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.
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.
A non-monetary protocol for AI-generated gratitude marks, bridging Existence Proof OS and Royalty OS.
A protocol-oriented framework for registering AI-era ideas, structures, prompts, schemas, and conceptual systems as origin assets, tracing derivatives, and enabling royalty allocation back to the source.
A minimal specification for measuring Question Gravitational Field: the structural influence of questions across AI, trace, lineage, and civilizational systems.
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