• Updated the demo to depend on the public PyPI distribution of CRI-CORE.
• Removed the requirement to clone the CRI-CORE repository or configure PYTHONPATH.
• Introduced a pyproject.toml to declare the CRI-CORE dependency and standard project metadata.
• No changes to lifecycle scenarios, enforcement behavior, or demo runner logic.

This release reduces setup friction while preserving the same governed lifecycle behavior and enforcement outcomes.

• Added CHANGELOG.md to track release history and clarify demo scope across versions.
• Added CITATION.cff for GitHub citation support and research referencing.
• No changes to scenarios, runner logic, or enforcement behavior.

This release improves reproducibility and referencing while preserving the same deterministic commit gating behavior.

• Established public installation via pip install cricore.
• Stabilized the enforcement entrypoint: cricore.enforcement.execution.run_enforcement_pipeline.
• Exposed explicit runtime version via cricore.__version__.
• Hardened packaging metadata (classifiers, project URLs, keywords).
• Maintained backwards compatibility with prior enforcement behavior and pipeline interface.

CRI-CORE remains deterministic, domain-agnostic, and non-semantic: it authorizes mutation attempts and emits a single authoritative commit decision (commit_allowed) without mutating state.

• Published the first canonical public interface for the Aurora ecosystem.
• Established an institutional navigation surface aligned to governance and tooling.
• Introduced a permanent update log for releases and formal changes.

This release formalized the Waveframe Labs website as the public reference surface for the Aurora ecosystem.

• Released a stable, schema-agnostic diagnostics engine for governed artifacts.
• Normalized validation output into Canonical Diagnostic Objects (CDOs).
• Introduced structured remediation outputs and immutable execution traces.
• Separated validation, fix proposals, and human judgment into auditable stages.

Stamp provides a reproducible, policy-neutral front door for governed workflows and supports downstream enforcement.

• Version DOI: 10.5281/zenodo.18453155
• PyPI: waveframe-stamp

• First public release of a deterministic, schema-agnostic validation and diagnostics engine.
• Established the public CLI, diagnostics structure, execution trace format, and repository layout.
• Released as policy-neutral and enforcement-free by design.

This release established the public technical surface for deterministic validation without embedding institutional policy logic.

• Completed rewrite of Aurora Workflow Orchestration.
• Defined enforceable artifact classes and workflow topology.
• Established phase structure and role separation.
• Published normative specifications and onboarding guides.

AWO v2.0.0 is the authoritative workflow definition under Aurora.

• Concept DOI: 10.5281/zenodo.17013612
• Repository: Aurora-Workflow-Orchestration

• Introduced symbolic semantic compression for reasoning traces.
• Formalized grammar for lineage and derivation mapping.
• Archived concept and version identifiers.

• Concept DOI: 10.5281/zenodo.18057686
• Version DOI: 10.5281/zenodo.18057687

• Defined machine-verifiable AI disclosure requirements.
• Separated doctrinal rationale from enforceable rules.
• Published compliance targets for downstream enforcement.

• Concept DOI: 10.5281/zenodo.17809676

• Established epistemic rationale for AI-human traceability.
• Formed foundation for NTS and ARI governance.

• Concept DOI: 10.5281/zenodo.17957384

• Defined governance authority for the Aurora Ecosystem.
• Established separation between doctrine, specification, workflow, enforcement, and publication.
• Codified independence and no-self-attestation constraints.

• Concept DOI: 10.5281/zenodo.17743096