IP-Superstate: A Reference Architecture for Continuous AI-Native Provenance, Attribution and Licensing
Year: 2026
Type: article
Abstract: AI development pipelines continuously produce artifacts with potential intellectual property significance: model architectures, training methodologies, agent workflows, evaluation frameworks, datasets, prompts, and research outputs. Current IP infrastructure was designed for discrete, human-initiated legal filings and is largely disconnected from AI development toolchains. This paper proposes IP-Superstate, a five-layer reference architecture — Genesis, Vault, Alchemy, Nexus, Overseer — that integrates into AI development workflows to provide continuous artifact detection, cryptographic provenance, structured defensive disclosure, valuation metadata, programmable licensing, and feedback-driven lifecycle improvement. The architecture defines four composable primitives (provenance, attribution, licensing, audit) that can be adopted independently. This paper is a research proposal, not a product announcement. It is not legal advice and does not substitute for formal IP counsel or patent prosecution.
Author: Dinc, Fatih
Language: English
Subfield: Artificial Intelligence
Field: Computer Science
Domain: Physical Sciences
Open Access status: green
OpenAlex ID: W7161479643
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