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.

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

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

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

A minimal specification for measuring Question Gravitational Field: the structural influence of questions across AI, trace, lineage, and civilizational systems.

Minimal spec for Structure Fingerprint v0.1: JSON Schema, examples, and CI for proof/inference-separated text trace objects.

Language-neutral trace protocol and replay harness for production AI agents