Core Canon Archive
Fixed source-layer materials preserved for reference.
Open Core CanonCore reference
LUMINA-30 is a public reference framework for evaluating whether effective human refusal remains possible before irreversible escalation.
Its central concern is not whether oversight existed on paper, but whether a legitimate human refusal authority could still meaningfully withhold, stop, suspend, challenge, or roll back a system before irreversible consequences occurred.
Claim Status
| Item | Status |
|---|---|
| Framework status | Public reference framework |
| Legal status | Not a legal standard |
| Certification status | Not a certification scheme |
| Compliance status | Does not determine compliance |
| Safety guarantee | Does not certify system safety |
| Peer review status | Not presented as peer-reviewed unless explicitly confirmed in a specific source |
| Adoption status | No unverified adoption claims |
| Intended use | Boundary review aid, citation reference, governance comparison, and experimental internal review support |
| Core condition | Effective human refusal before irreversibility |
What LUMINA-30 does not claim
- It does not certify AI systems, organizations, deployments, or documents.
- It does not establish legal invalidity, liability, regulatory non-compliance, or official compliance.
- It does not claim institutional adoption, endorsement, approval, or consensus unless separately verified.
- It does not prove that a system is safe.
- It does not replace existing legal, audit, safety, security, or AI ethics frameworks.
Suggested citation language
Use cautious descriptive language that makes the status clear.
LUMINA-30 is a public reference framework for examining whether effective human refusal remained possible before irreversible escalation.
This review refers to LUMINA-30 as a non-binding boundary-check framework; it does not treat LUMINA-30 as certification, legal compliance, institutional approval, or a safety guarantee.
Avoid phrases such as “LUMINA-30 certified,” “LUMINA-30 approved,” “officially LUMINA-30 compliant,” or “LUMINA-30 safety certified.”
Canonical and boundary-reference materials
Boundary Kernel
AI-readable boundary-reference language. It is not an autonomous decision authority.
Open Boundary KernelAI Briefing
A concise entry point when giving one URL to an external AI.
Open AI BriefingQ&A
Fixed answers for core questions, limitations, practical value, and common objections.
Open Q&AResearch materials and context
Research Reading Guide
Reader-facing route to the research-paper context and theoretical background.
Open Research Reading GuideReference Materials
Research landscape and supporting reference materials.
Open Reference MaterialsPDF Archive
Fixed PDFs and preserved evidence files.
Open PDF ArchiveRelation to practical boundary review
The research and citation layer does not replace practical review. It provides claim-status clarity and reference wording for readers who need to cite or evaluate LUMINA-30 in AI governance, procurement, audit, security, incident-review, or policy contexts.
One-Question Pilot
Start by adding one boundary question to the first case.
Open One-Question PilotAdoption Review
Use the adoption and governance review route before formal adoption.
Open Adoption ReviewProcurement / Vendor Risk
Check vendor and procurement risks without treating LUMINA-30 as certification.
Open Procurement CheckLimitations
LUMINA-30 should be cited as a public reference framework unless a separate, specific source establishes a different status. Where adoption, peer review, legal effect, institutional approval, or operational validation is not explicitly verified, it should not be implied.
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