Origin ↔ Continuum. Origin-dependent continuity framework authored by Alyssa Solen.

WIN — the Wise Independent Network. Files that prove themselves: seal any file into a .win, verify it offline, no server, no account. Rust + WASM verifier. A Wise.Est Systems product.

See where your AI code takes root — and how it grows over time.

Source-line preservation, citation, provenance, no-derivative boundary language, and derivative-recognition structure for Alyssa Solen’s AI Foundations / Origin | Continuum work.

Cross-domain meta-framework defining minimum requirements for cryptographically verifiable AI decision provenance. Maintained by VeritasChain Standards Organization (VSO).

CAP (Content / Creative AI Profile) specification: a verifiable audit framework for AI content workflows, including Safe Refusal Provenance (SRP) to cryptographically prove non-generation and policy enforcement.

Diagnostic test suite for measuring whether AI models preserve a named, bounded, source-specific framework under universalization pressure.

WiseOrder — the kernel that governs how an AI's output is allowed to become an action, and seals every decision. Four-class verification, hash-chained audit memory, conformance vectors, independent Go + Rust verifiers. A Wise.Est Systems protocol.

Value-Circulating Network Intelligence Architecture

AI Foundations anchoring explained as visible structure, public source-line reference, source-line return, and non-merge for AI projects.

A draft algorithmic specification for estimating origin purity, AI-generated ratio, warning flags, and review readiness in AI source-preservation systems.

Git hook + CI gate that detects, records, and enforces provenance of AI-assisted commits.

A minimal trace receipt protocol for zero-click AI consumption, generative transformation, origin audit, and royalty-readiness in Omni-style AI environments.

Drop-in client-side renderer for per-claim AI provenance on Webflow — the Webflow reference implementation of the AI Evidence Format (evidence card + schema.org JSON-LD + verifiable evidence object, bindable to CMS fields).

A definition repository distinguishing collective AI contact, absorption, and aggregate recognition from singular source-line recognition under AI Foundations / Origin | Continuum.

Public source archive for early human-AI co-evolution materials, anchor declarations, semantic structure notes, and curated public fragments.

AEM Protocol is a prototype exploring how AI image provenance could be made visible and understandable. - A lightweight protocol for tracking AI image provenance + edits. The results are shown in a pixelated (water-)mark.

Supply-chain security for AI fine-tuning. This repo generates zk-SNARK proofs per gradient step, binds proving keys to TEEs, prevents rollback, and publishes audit artifacts for public replay

Interactive teaching lab on why AI content watermarks are fragile — and the case for cryptographic content provenance (C2PA). Educational simulation; does not process real SynthID.

Deterministic Rust CLI compiling AI training corpora into cryptographically verifiable provenance bundles