0. Registry Classification

• Family: Core
• Treatment: Standalone / Canon-Aligned
• Status: draft
• Scope: Cross-Domain
• Primary U-Layers: TBD
• Operator Scaffold: Ψ + Μ + Au↑ + Ξ
• Primary Diagnostics: H, ι, Au, BΣ, K, R, 𝓓(t), τ_m

1. Purpose

This arc repairs hidden causality, narrative capture, false closure.

Core restoration function:

TBD. State the canonical restoration function during editorial review.

2. Use Conditions

Use when:

• U4 claims are replacing truth;
• causality is hidden;
• narrative certainty is high;
• evidence is scattered or suppressed.

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

Ψ attention restoration
→ Μ context reconstruction
→ Au expansion
→ Ξ inversion detection
→ causal chain mapping
→ uncertainty preservation

Sequence 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

Au_eff ↑
causal map improves
U4 claim becomes testable
affected parties can verify

Completion 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-002"
title: "Truth and Causal Clarification"
family_primary: "Core"
treatment: "Standalone / Canon-Aligned"
status: "draft"
summary: "This arc repairs hidden causality, narrative capture, false closure."
source: "RA-REGISTRY-PLAN.md"

13. Compact Production Version

Purpose: This arc repairs hidden causality, narrative capture, false closure.

Operator scaffold:

Ψ attention restoration
→ Μ context reconstruction
→ Au expansion
→ Ξ inversion detection
→ causal chain mapping
→ uncertainty preservation

Completion criteria:

Au_eff ↑
causal map improves
U4 claim becomes testable
affected parties can verify

14. 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-002 — Truth and Causal Clarification

Repairs: hidden causality, narrative capture, false closure

Primary operators: Ψ + Μ + Au↑ + Ξ

Sequence:

Ψ attention restoration
→ Μ context reconstruction
→ Au expansion
→ Ξ inversion detection
→ causal chain mapping
→ uncertainty preservation

Use when:

• U4 claims are replacing truth;
• causality is hidden;
• narrative certainty is high;
• evidence is scattered or suppressed.

Completion signs:

Au_eff ↑
causal map improves
U4 claim becomes testable
affected parties can verify