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@Waveframe-Labs

Waveframe Labs

Methodology, governance, and tooling for reproducible AI-human research. Home of the Aurora Stack and Waveframe projects.

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Waveframe Labs

Waveframe Labs builds deterministic enforcement and validation infrastructure for governed AI workflows.

We focus on the execution boundary --- the point where system state changes under regulatory, operational, or institutional risk.

Governance is only meaningful if that boundary is structurally enforced.


Core Infrastructure DOIs

Neurotransparency Doctrine (NTD)
https://doi.org/10.5281/zenodo.17957384

Neurotransparency Standard (NTS)
https://doi.org/10.5281/zenodo.17809676

Aurora Research Initiative (ARI)
https://doi.org/10.5281/zenodo.17743096

Aurora Workflow Orchestration (AWO)
https://doi.org/10.5281/zenodo.17013612

Stamp (Deterministic Artifact & Metadata Validator)
https://doi.org/10.5281/zenodo.18436622


Architectural Layers

Waveframe Labs separates governance, method, enforcement, and validation into distinct layers:

Governance --- ARI / NTS
Defines institutional authority boundaries, policy contracts, and AI disclosure requirements.

Method --- AWO
Defines structured workflow topology, role separation, manifests, and reproducibility guarantees.

Enforcement --- CRI-CORE
Deterministic transition-boundary enforcement engine.
Validates that state changes satisfy declared contracts before they commit.

Validation --- Stamp
Schema-agnostic artifact and metadata validator.
Emits deterministic diagnostics and machine-readable outputs for downstream enforcement.


What This Organization Builds

Waveframe Labs builds infrastructure for:

  • Atomic, auditable state transitions
  • Explicit authority modeling
  • Deterministic enforcement of declared contracts
  • Cryptographic artifact integrity
  • Machine-verifiable provenance

We do not collapse policy, authority, and execution into a single layer.

Policy sits above.
Execution sits below.
The enforcement kernel asks one question:

"Can this transition commit safely?"


Core Repositories

Layer Project Purpose
Governance ARI Institutional authority and governance constraints
Specification NTS Machine-verifiable AI disclosure requirements
Method AWO Structured workflow topology for governed research
Enforcement CRI-CORE Deterministic transition-boundary enforcement
Validation Stamp Artifact validation and diagnostics engine


Licensing

Category License
Governance & Methods (ARI, AWO) CC BY 4.0
Specification (NTS) CC BY 4.0
Tooling & Code (CRI-CORE, Stamp) Apache 2.0
Documentation CC BY-NC-SA 4.0

All versioned releases include DOIs and cryptographic provenance artifacts where applicable.


Links

Website --- https://waveframelabs.org
ORCID --- https://orcid.org/0009-0006-6043-9295
Contact --- swright@waveframelabs.org


© 2026 Waveframe Labs · Governance Infrastructure for AI Workflows

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  1. Waveframe-Stamp Waveframe-Stamp Public

    Deterministic validator for governed research artifacts and metadata, designed to support reproducible and auditable AI–human workflows.

    Python

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