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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

Core Concept & Infrastructure DOIs

Aurora Research Initiative (ARI)
DOI

Aurora Workflow Orchestration (AWO)
DOI

Stamp (Deterministic Artifact & Metadata Validator)
DOI

Neurotransparency Standard (NTS)
DOI

Neurotransparency Doctrine (NTD)
DOI

Flagship Case Study DOIs

Waveframe v4.0 (Observer-driven cosmology and entropy dynamics)
DOI

Societal Health Simulator (SHS)
DOI

Independent Research Institute for AI–Human Reproducibility and Epistemic Governance
Operating under the Aurora Research Initiative (ARI) — the formal governance layer for scientific AI.


Aurora Hierarchy (Full Institutional Stack)

Layer 0A — Neurotransparency Doctrine

  • Epistemic foundation defining cognitive integrity and traceability.
  • Establishes why governance is required.

Layer 0B — Neurotransparency Specification (NTS)

  • Compliance law for verifiable AI–human collaboration.
  • DOI: 10.5281/zenodo.17809676

Layer 1 — Aurora Research Initiative (ARI)

  • Institutional governance, epistemic rules, and global policy constraints.
  • DOI: 10.5281/zenodo.17743096

Layer 2 — Aurora Workflow Orchestration (AWO)

  • Methodology defining roles, manifests, approvals, falsifiability, and reproducible workflows.

Layer 3 — CRI-CORE

  • Deterministic enforcement engine for provenance, audit trails, and workflow validation.

Layer 4 — Applied Case Studies

  • Waveframe v4.0 (cosmology), Societal Health Simulator, Tauwarp, and future demonstrators.

Layer 5 — Tooling Ecosystem

  • Metadata Pipeline, Stamp, PDF Forge, Validators, and additional utilities.

Core Repositories

Layer Project Description
0A Neurotransparency Doctrine Epistemic foundation; explains why governance is required.
0B Neurotransparency Specification (NTS) Enforceable compliance rules for AI–human research.
1 Aurora Research Initiative (ARI) Institutional governance and epistemic law.
2 Aurora Workflow Orchestration (AWO) Methodology for reproducible scientific workflows.
3 CRI-CORE Deterministic orchestration and provenance enforcement engine.
4 Waveframe v4.0 Cosmology case study exploring entropy–action and observer dynamics.
4 Societal Health Simulator (SHS) Sociotechnical modeling and interactive systems simulation.
5 Tooling Suite Metadata Pipeline, Stamp, PDF Forge, validators, and organizational utilities.

Research Philosophy

Waveframe Labs treats science as an epistemic workflow, not an institutional privilege.

Core Premises

  • Reproducibility is a mechanical problem, solved through governance + tooling.
  • AI is a cognitive instrument, not an authority.
  • Human and machine reasoning must be traceable, comparable, and falsifiable.
  • Every artifact must have provenance, metadata, and attestation.

Standard Workflow

Design → Orchestrate → Verify → Publish → Preserve

Every phase is validated under AWO and enforced through CRI-CORE.


Licensing

Category License
Text & Documentation CC BY-NC-SA 4.0
Methods & Frameworks (AWO, ARI) CC BY 4.0
Tooling & Code (CRI-CORE, Utilities) Apache 2.0

All versioned releases are assigned DOIs and include cryptographic provenance.


Links & References


© 2025 Waveframe Labs · Independent AI–Human Research Institute

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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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