AWO v2.0.0 — Methodology Stabilization Release

Overview

This release marks the formal publication of Aurora Workflow Orchestration (AWO) v2.0.0, the fully stabilized method layer of the Waveframe Labs governance stack. It replaces all v1.x materials and is now aligned with ARI governance, NTS transparency requirements, and CRI-CORE enforcement boundaries.

AWO v2.0.0 defines the canonical workflow structure for transparent, traceable, and independently verifiable AI-assisted research. It introduces a normalized metadata model, a complete contract surface, and a reproducible workflow topology suitable for downstream enforcement.

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Highlights

• Complete rewrite of AWO methodology
• Full metadata normalization across all files
• DOI integration for version and concept layers
• New directory structure with READMEs for all major sections
• Contract Index finalized under /contracts/
• Schema-first artifact definitions
• Stabilized Phase Topology
• Formalized Methodological Invariants
• Refined Role Separation boundaries
• Updated SCOPE and WORKFLOW_SPEC documents
• v1.x is archived cleanly under /v1-archived/
• CITATION.cff added and validated
• manifest.json updated with DOIs and governance references
• CHANGELOG.md introduced for future version tracking

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Breaking Changes (Compared to v1.2.0)

• v1.x materials no longer govern workflows
• All metadata blocks must now include DOI fields
• Filetypes and normative weights standardized
• Contract schemas renamed and reorganized
• Workflow phases redefined to align with ARI
• Role boundaries enforced at the methodological level
• Deprecated “implicit provenance” model removed
• All documents now require author/maintainer/ORCID fields
• Non-normative guidance separated into /docs/ directory

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Migration Notes

Users migrating from AWO v1.2.0 should:

1. Adopt the new metadata structure in all downstream artifacts
2. Update workflow automation to reference the new contracts:
   • awo.initiation.schema.json
   • awo.specification.schema.json
   • awo.execution.schema.json
   • awo.review.schema.json
   • awo.release.schema.json
3. Replace prior v1.x artifact categories with new classes
4. Update any enforcement prototypes to follow CRI-CORE boundaries
5. Remove or archive legacy workflow documents referencing v1.x invariants

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Repository Integrity

This release includes:

• Verified normative document set
• Validated schema maps
• Correctly linked dependencies
• No orphaned files
• No missing READMEs
• Correct license format (LICENSE not LICENSE.md)
• DOI badge + citation included

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Citation

Wright, S. C. (2026). Aurora Workflow Orchestration (AWO) v2.0.0.
Waveframe Labs. https://doi.org/10.5281/zenodo.17013612  

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Additional Notes

• AWO does not enforce execution — enforcement is delegated to CRI-CORE.
• This release stabilizes the method layer in preparation for CRI-CORE v1.0.0.
• Future versions will focus on enforcement integration and automated validation.

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AWO v2.0.0 is now the official, stable method layer for all Waveframe Labs research workflows.

Aurora Workflow Orchestration (AWO) v1.2.0 — Verified Runtime & Documentation Finalization

Aurora Workflow Orchestration (AWO) v1.2.0 — Verified Runtime & Documentation Finalization

Release Date: October 2025
Maintainer: Waveframe Labs
Program: Aurora Research Initiative
License: CC BY 4.0 (text) · Apache 2.0 (code)

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Overview

Aurora Workflow Orchestration (AWO) v1.2.0 marks the first fully verified and self-contained release under Waveframe Labs governance.
This version finalizes the documentation, auto-build system, and reproducible runtime for the Aurora Workflow Method.

All artifacts, including the Method Specification v1.2.1 and Whitepaper v1.2.1, are automatically compiled, committed, and version-signed through deterministic GitHub Actions runners.
This release establishes the baseline for CRI-CORE integration and the next phase of Aurora’s reproducibility framework.

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Key Updates

• Stable CI/PDF workflows using Pandoc and XeLaTeX for both Method Spec and Whitepaper.
• Deterministic attestation pipeline with automatic commit and hash verification.
• Documentation finalized and reproducible directly from main.
• Fully local build reproducibility using only Pandoc + TeX stack.
• Tag alignment restored following branch divergence cleanup.

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Artifacts

• docs/AWO_Method_Spec_v1.2.pdf
• docs/AWO_Whitepaper_v1.1.pdf

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Next Steps

• Initialize CRI-CORE (Continuous Research Integration) repository.
• Integrate attestation metadata and release signing for runtime validation.
• Reissue Zenodo DOI once service is restored and link to this tag.

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Citation

Wright, S. C. (2025). Aurora Workflow Orchestration (AWO) v1.2.0 — Verified Runtime & Documentation Finalization.
Waveframe Labs / Aurora Research Initiative.
https://github.com/Waveframe-Labs/Aurora-Workflow-Orchestration/releases/tag/v1.2.0

AWO v1.1.1 - Attestation Integration & Repository Hardening

Aurora Workflow Orchestration (AWO) — v1.1.1

Release Date: 2025-10-12
Maintainer: Waveframe Labs
Contact: swright@waveframelabs.org

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Overview

This release finalizes Aurora Workflow Orchestration (AWO) under Waveframe Labs governance, introducing cryptographic attestation, repository hardening, and full DOI traceability.
AWO v1.1.1 transforms every run into a verifiable research artifact — signed, hashed, and independently reproducible.

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Key Updates

• Attestation Integration (ADR-0015) — Added cosign + OIDC-based signing for all workflow runs.
• Repository Hardening (ADR-0014) — Unified folder metadata, corrected file headers, and aligned maintainer identity under Waveframe Labs.
• Provenance Framework — Verified ATTESTATION.txt, .sig, .cert, and SHA256SUMS.txt artifacts now included per run.
• Documentation Refresh — Updated root and /docs/ READMEs, finalized whitepaper and method spec references.
• Metadata Alignment — Corrected .zenodo.json and CITATION.cff to reference the concept DOI 10.5281/zenodo.17013612.

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Repository Structure Highlights

• /docs/ — method spec, whitepaper, and formal references
• /decisions/ — complete ADR log (ADR-0001 → ADR-0015)
• /runs/ — reproducibility archives with signed attestations
• /logs/ — timestamped workflow and governance entries

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Related ADRs

• ADR-0014 — Repository Hardening & Organizational Transfer
• ADR-0015 — Attestation Integration & Cryptographic Signing

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Citation

This version corresponds to the DOI record for v1.1.1 (10.5281/zenodo.17345552)
For citing all versions, use the concept DOI → 10.5281/zenodo.17013612.

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Verification

Reproducibility run:
/runs/run_2025-10-12T14-29-03Z/
Includes:

• ATTESTATION.txt, .sig, .cert
• SHA256SUMS.txt
• provenance.json, workflow_frozen.json, gate_decision.yml

Each file is hash-verified and cryptographically bound to this release commit.

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License

• Code: Apache 2.0
• Documentation: CC BY 4.0
  By using this repository, you agree to comply with both.

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AWO v1.1.1 marks the transition from reproducibility theory to verifiable execution —
the first fully attested research orchestration release under Waveframe Labs.

AWO v1.1.0 — Audit Framework

AWO v1.1.0 —Audit Framework

What changed

• Introduced /decisions/ folder with Architecture Decision Records (ADRs).
• Expanded /logs/ with timestamped workflow entries.
• Updated README.md with decision links, concept DOI, and case studies.
• Updated .zenodo.json + CITATION.cff with clean metadata.
• Refined dual-licensing (Apache 2.0 for code, CC BY 4.0 for docs/logs).

Why

• ADRs = “what/why/when” decisions, making the repo audit-ready.
• Logs = traceable work history.
• Concept DOI = guarantees reproducibility across versions.

Next

• v1.2.0 → Templates & checklists for faster adoption of AWO.
• v1.3.0 → Expanded case studies (customer reviews, societal progress simulator).

AI Workflow Orchestration (AWO) v1.0.2 — Zenodo Integration & DOI Preparation

AWO v1.0.2 — Zenodo Integration & DOI Preparation

What changed

• Added .zenodo.json with clean metadata (title, description, license, keywords, related identifiers).
• Added/updated CITATION.cff with version 1.0.2 and release date 2025-08-31.
• Confirmed repo public + release process for Zenodo webhook.

Why

• Prepare the repository for automated archiving and DOI minting via Zenodo for this and future releases.

Next

• After Zenodo mints the DOI, add the DOI badge to README.md and the doi field to CITATION.cff.

AWO v1.0 – Initial public release.

AWO v1.0 – Initial public release

What this is
AI Workflow Orchestration (AWO) — a reproducible, documented method for running research and build cycles with human–AI collaboration.

Highlights

• Orchestration roles: Primary Engine, Supporting Models, Human-in-the-loop gating
• Critique loops & cross-validation across independent AI runs
• Mock peer review (blind) and cross-referencing of outputs
• Workflow logging as a first-class artifact
• Reproducibility: env pins, logs, deterministic runners (where possible)

Repo layout (expected)

• methods/ – AWO spec, patterns, role definitions
• docs/ – Overview, rationale, examples, diagrams
• orchestration/ – prompts, runners, checklists, gates
• logs/ – workflow logs, decision records (ADR-style)
• figures/ – diagrams of the orchestration cycle
• LICENSE, CITATION.cff, README.md

Stability

• Version 0.1.0 indicates active development; interfaces may change before 1.0.0.

Next milestones

• 0.2.0: deterministic “paper-mill style” runner + minimal templates
• 0.3.0: reference case study integration (Waveframe v4.0)
• 1.0.0: frozen spec + full reproducibility kit

Authorship & citation

• Please cite using the DOI that Zenodo will mint for this release.