0. Registry Classification
- Family: Ai Cognitive Infrastructure
- Treatment: Canon Parent Arc
- Status: draft
- Scope: Cross-Domain
- Primary U-Layers: TBD
- Operator Scaffold: TBD
- Primary Diagnostics: H, ι, Au, BΣ, K, R, 𝓓(t), τ_m
1. Purpose
This arc repairs dependency loops, hollow sovereignty, platform capture.
Core restoration function:
TBD. State the canonical restoration function during editorial review.
2. Use Conditions
Use when:
- TBD. Add use conditions during editorial review.
Do not use when:
- TBD. Add contraindications during editorial review.
Preconditions:
- Stabilization can be established or is already present.
- Auditability can be preserved or restored.
- Required gates can be enforced.
3. Failure / Damage Signature
TBD. Map the pre-state across S during editorial review.
4. Restoration Objective
Restore coherence by reducing hidden debt and inversion, increasing auditability, repairing boundaries where relevant, and validating the result over time.
5. Operator Sequence
restore data portability
→ memory export
→ appeal path
→ constraint transparency
→ meaningful exit
→ human judgment preservationSequence notes:
TBD. Clarify stage gates, repeatable steps, irreversible steps, and temporal validation requirements during editorial review.
6. Gates
TBD. Add required gate checks and failure rules during editorial review.
7. Diagnostics
Required diagnostic trends:
- H decreases
- ι decreases
- Au increases or remains adequate
- BΣ is restored or preserved
- R increases
- recurrence decreases
8. Anti-Patterns / False Restorations
TBD. Add named anti-pattern links and false restoration risks during editorial review.
9. Completion Criteria
exit real
dependency pressure decreases
human agency preservedCompletion requires temporal proof and must not depend on Φ recovery alone.
10. Cross-Links
TBD. Add related restoration arcs, failure modes, diagnostics, laws, and invariants during editorial review.
11. Domain Notes
TBD. Add domain cautions where this arc applies to AI, governance, biology, economy, CMS, or archetypal systems.
12. Machine-Readable Metadata
id: "RA-056"
title: "Sovereignty Safeguard Restoration"
family_primary: "Ai Cognitive Infrastructure"
treatment: "Canon Parent Arc"
status: "draft"
summary: "This arc repairs dependency loops, hollow sovereignty, platform capture."
source: "RA-REGISTRY-PLAN.md"13. Compact Production Version
Purpose: This arc repairs dependency loops, hollow sovereignty, platform capture.
Operator scaffold:
restore data portability
→ memory export
→ appeal path
→ constraint transparency
→ meaningful exit
→ human judgment preservationCompletion criteria:
exit real
dependency pressure decreases
human agency preserved14. Entry Quality Checklist
TBD. Complete the template quality checklist before marking this entry ready.
15. Source Status
This scaffold was generated from RA-REGISTRY-PLAN.md. Matching excerpts from content/archive/restoration-arcs/registry/index.md were included when available. Sections marked TBD should be expanded only from source material, related canon pages, or later editorial review.
16. Source Excerpt
RA-056 — Sovereignty Safeguard Restoration
Repairs: dependency loops, hollow sovereignty, platform capture
Primary sequence:
restore data portability
→ memory export
→ appeal path
→ constraint transparency
→ meaningful exit
→ human judgment preservationCompletion signs:
exit real
dependency pressure decreases
human agency preserved