0. Registry Classification

• Family: Ai Cognitive Infrastructure
• Treatment: Standalone Entry
• 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 memory without responsibility, over-retention, frozen memory.

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

memory audit
→ invalid memory correction
→ meaning compression
→ update rule
→ recurrence validation

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

memory meaning-aligned
invalid retention repaired
update capacity restored
recurrence decreases

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-059"
title: "AI Memory Reindexing"
family_primary: "Ai Cognitive Infrastructure"
treatment: "Standalone Entry"
status: "draft"
summary: "This arc repairs memory without responsibility, over-retention, frozen memory."
source: "RA-REGISTRY-PLAN.md"

13. Compact Production Version

Purpose: This arc repairs memory without responsibility, over-retention, frozen memory.

Operator scaffold:

memory audit
→ invalid memory correction
→ meaning compression
→ update rule
→ recurrence validation

Completion criteria:

memory meaning-aligned
invalid retention repaired
update capacity restored
recurrence decreases

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-059 — AI Memory Reindexing

Repairs: memory without responsibility, over-retention, frozen memory

Primary sequence:

memory audit
→ invalid memory correction
→ meaning compression
→ update rule
→ recurrence validation

Completion signs:

memory meaning-aligned
invalid retention repaired
update capacity restored
recurrence decreases