RA-004 — Audit Surface Expansion

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RA-004 — Audit Surface Expansion

Audit Surface Expansion restores traceability when decision paths, causal chains, power surfaces, provenance, or affected-node verification channels are too opaque for valid repair.

reviewedid: RA-004version: 1.0updated: 2026-05-20
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0. Registry Classification

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FieldEntry
Restoration Arc IDRA-004
NameAudit Surface Expansion
Short Name / AliasAudit Expansion
Primary FamilyAuditability
Secondary FamiliesCore; Coherence; Security; Cybernetics; Justice / Governance / Legitimacy; AI Governance; Economy; Boundary
TreatmentCanon Parent Arc
StatusCanon-Ready
ScopeLocal / Relational / Institutional / AI / Economic / Civilizational / Cross-Domain
Primary U-LayersU3 / U4 → U5 / U6 / U7 validation
Primary OperatorsAu → Μ → Ψ → Ξ → Π → Σ → Τ
Primary DiagnosticsAu, X_c, H, ι, Φ/O divergence, AP(t), τ_resp, τ_m

1. Purpose

1.1 What This Arc Repairs

Audit Surface Expansion repairs situations where a system cannot restore coherence because the relevant decision paths, causal chains, provenance, authority surfaces, or affected-node verification channels are too opaque.

It applies when the system may have enough stability to investigate and repair, but not enough inspectability to know what actually moved, who or what acted, what constraints applied, where responsibility belongs, or which layer must be repaired.

This arc repairs auditability failure by:

  • expanding the visible decision surface;
  • exposing hidden causal pathways;
  • preserving provenance;
  • matching auditability to constraint complexity;
  • making authority and action traceable;
  • reducing opacity-protected hidden debt;
  • converting uninspectable power into reviewable structure.

Audit Surface Expansion is the canonical arc for restoring traceability before action, responsibility assignment, or closure.


1.2 Core Restoration Function

This arc restores traceability by expanding the system’s audit surface until `Au_eff` is sufficient for the complexity of the constraint stack, allowing causal chains, decision authority, repair responsibility, and recurrence paths to become inspectable.

Audit Surface Expansion prevents restoration from being trapped inside opaque process, hidden authority, rule-stack fog, or unreviewable actuation.


2. Use Conditions

2.1 When to Apply

Use this arc when:

  • cause, decision, consequence, or responsibility cannot be traced;
  • auditability is lower than constraint complexity;
  • a decision was made but authority is unclear;
  • rules, policies, models, dashboards, or interfaces obscure causality;
  • appeals are impossible because the affected node cannot see the decision path;
  • a system claims compliance while hiding the actual mechanism;
  • AI behavior, classifier outcome, tool action, or memory state cannot be reconstructed;
  • security, governance, or institutional systems rely on unverifiable internal claims;
  • repair cannot be assigned because the relevant causal surface is hidden;
  • hidden debt is protected by opacity.

Examples:

  • an AI system makes a consequential classification but cannot show trigger, policy, model, tool, or memory path;
  • an institution enforces a decision without exposing authority, standard, evidence, or appeal path;
  • a security dashboard shows compliance while breach causality remains inaccessible;
  • economic or contractual flows hide real cost, risk, dependency, or extraction paths;
  • a governance process invokes policy but cannot trace who changed it, why, and with what review.

2.2 When Not to Apply

Do not apply this arc when:

  • active harm is still cascading and containment must come first;
  • audit expansion would expose affected nodes to new harm without boundary protection;
  • the system lacks any viable preservation channel;
  • transparency would be performative while control remains hidden;
  • auditability is being expanded only to intensify surveillance;
  • the arc would create more hidden debt than it reveals;
  • the system refuses to make audit outputs actionable;
  • the needed repair layer is already known and immediate repair is required first.

Audit Surface Expansion must not become surveillance expansion or transparency theater.


2.3 Required Preconditions

Before this arc begins, the following must be true:

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PreconditionRequirement
StabilizationActive harm slowed or contained enough for audit work
Boundary ProtectionAudit process does not violate affected-node boundaries
Preservation ChannelLogs, records, testimony paths, state snapshots, or provenance artifacts can be preserved
Access AuthorityLegitimate authority exists to inspect the relevant surface
Usefulness StandardAudit outputs can affect repair, appeal, prevention, or accountability
Anti-Surveillance ConstraintAudit expansion does not become extraction or control expansion
Review PathAudit process itself is reviewable

If required preconditions fail:

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Arc cannot validly begin.

The system must return to stabilization, boundary protection, evidence preservation, or lower-risk legibility restoration before expanding the audit surface.


3. Failure / Damage Signature

3.1 Pre-State Across S

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VariableExpected Pre-State
O — CoherenceUnknown, unstable, or claimed without traceable proof
H — Hidden DebtProtected by opacity; difficult to locate or assign
ε — Error / NoiseUnclassified, hidden, suppressed, or attributed without trace
ι — Inversion IndexRising when opaque process claims legitimacy
Au — AuditabilityInsufficient, fragmented, suppressed, or below X_c
µᵢ — Agent IntegrityVulnerable to unreviewable authority, role confusion, or invalid attribution
BΣ — Boundary IntegrityMay be violated by opaque action, surveillance, or interface capture
K — Compatibility / Slack ContextCannot be validated while authority and causality remain hidden
R — Restoration CapacityMisallocated until the repair surface is traceable
Φ — Fitness ProxyOften dominant through compliance, dashboard performance, legal defensibility, or institutional confidence

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Failure ModeRelationship
Auditability CollapsePrimary repair target
Hidden Decision SurfacePrimary repair target
Opaque PowerPrimary repair target
Rule-Stacking WallPrimary repair target
Interface CaptureCommon precursor
Proxy-Relay DriftCommon precursor
Metric SubstitutionOften co-occurs
Security TheaterFalse-restoration risk
Procedural TheaterFalse-restoration risk
AI Rule-Stacking WallDomain expression
Consent TheaterOften protected by audit failure

3.3 Origin-Layer Localization

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LayerRole
Failure OriginCommonly U3 control / classifier / feedback, U4 rule / narrative / policy, or U5 timing / decision sequence
Visible Symptom LayerOften U6 field harm, appeal failure, public trust loss, or dashboard mismatch
Required Repair LayerSame or lower than the opaque decision or control layer
Validation LayerU5 / U6 / U7 through reviewability, affected-node verification, and recurrence monitoring

Canon rule:

Auditability must scale with constraint complexity. If X_c > Au_eff, valid repair, appeal, and accountability cannot proceed.


4. Restoration Objective

4.1 Canonical Objective

Restore traceability by increasing effective auditability until the system can inspect the decision path, authority chain, evidence base, affected-node impact, and repair route.

Formal objective:

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Au_eff ↑
X_c / Au_eff ↓
hidden decision surface ↓
causal trace recoverable
appeal path meaningful
Φ/O divergence visible or reduced

Expanded objective:

Expand the audit surface until opacity no longer protects hidden debt, invalid authority, proxy substitution, or unreviewable harm.


4.2 Non-Goals

This arc does not aim to:

  • expose everything by default;
  • intensify surveillance;
  • replace repair with transparency;
  • overwhelm affected nodes with procedural burden;
  • publish sensitive data without boundary protection;
  • create dashboards that hide causality;
  • produce reports without action;
  • protect institutional reputation through controlled disclosure;
  • improve compliance appearance while traceability remains low;
  • make the audit surface larger but less usable.

5. Operator Sequence

5.1 Minimal Operator Scaffold

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Au surface expansion → Μ decision-path mapping → Ψ signal recovery → Ξ opacity inversion detection → Π boundary-safe disclosure → Σ audit standard lock → Τ review validation

Universal grammar alignment:

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Σ + Θ → Π → Au↑ → FI → ℛ routing → Τ

This arc typically routes into truth reconstruction, feedback integrity restoration, authority clarification, signed provenance, tamper-evident audit restoration, or origin-layer repair.


5.2 Operator Step Table

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StepOperatorFunctionVariable ImpactFailure Prevented
1AuIncrease inspectable surface, trace, provenance, and reviewabilityAu_eff↑Auditability collapse
2ΜMap decision paths, authority paths, dependencies, and affected surfacesH map↑ / AP↓Hidden causality
3ΨRecover missing signals and affected-node verification channelsε classified / Au↑Salience capture
4ΞDetect opacity-protected inversion and proxy substitutionι↓ / Φ/O divergence visibleSecurity / compliance theater
5ΠBound audit exposure to prevent extraction or boundary violationBΣ↑Surveillance expansion
6ΣLock audit standards and admissibility rulesO protected / Φ constrainedTransparency theater
7ΤValidate that audit outputs remain usable over timerecurrence visibility↑One-time report closure
8ℛ routingRoute to actual repair based on audit findingsR directedReport-without-repair

5.3 Sequence Notes

This arc is access-gated and boundary-gated.

Audit expansion is not always public disclosure. The required surface may be internal, affected-node accessible, regulator-accessible, cryptographically preserved, independently reviewable, or selectively disclosed.

The following steps cannot be skipped:

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audit surface expansion
decision-path mapping
boundary-safe disclosure
opacity inversion detection
repair routing

If audit expansion increases control without increasing meaningful reviewability, the arc has inverted.

If transparency produces data without action, the arc has collapsed into theater.


6. Restoration Phases

Phase 0 — Confirm Audit Need

Purpose: Establish that insufficient auditability is blocking repair, appeal, prevention, or accountability.

Actions:

  • identify the decision, harm, rule, model, pathway, or authority surface that cannot be traced;
  • estimate constraint complexity X_c;
  • compare current auditability against required auditability;
  • identify what cannot be known under the current surface.

Validation:

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X_c > Au_eff identified
hidden surface named
repair or appeal blocked by opacity

Phase 1 — Preserve Existing Trace

Purpose: Prevent loss, deletion, distortion, or narrative overwrite of already-available evidence.

Actions:

  • preserve logs, records, communications, decision IDs, source states, and state changes;
  • preserve chain-of-custody where applicable;
  • record current authority claims;
  • prevent retroactive sanitization;
  • protect affected-node verification paths.

Validation:

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existing trace preserved
provenance not degraded
future reconstruction remains possible

Phase 2 — Map Decision and Authority Surface

Purpose: Make power, decision, control, and dependency pathways inspectable.

Actions:

  • identify who or what acted;
  • identify rules, models, policies, classifiers, or contracts used;
  • map authority chain;
  • map review chain;
  • map affected-node interface;
  • identify override or exception paths.

Validation:

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decision path visible
authority path visible
override path visible
affected interface named

Phase 3 — Expand Audit Resolution

Purpose: Increase auditability until it can match the complexity of the system being inspected.

Actions:

  • expose missing provenance;
  • increase logging or trace resolution;
  • simplify rule stacks where needed;
  • document decision criteria;
  • make appeal-relevant facts accessible;
  • create independent review channel where appropriate.

Validation:

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Au_eff ↑
X_c / Au_eff ↓
audit surface adequate for next action

Phase 4 — Detect Opacity Inversion

Purpose: Identify where opacity has allowed appearance, authority, or proxy success to replace coherence.

Actions:

  • compare compliance claims to field effects;
  • compare dashboard outputs to affected-node state;
  • identify proxy-relay drift;
  • identify hidden exemptions;
  • identify unreviewable actuation;
  • identify where opacity protects hidden debt.

Validation:

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opacity-protected H visible
Φ/O divergence visible or decreasing
ι begins decreasing

Phase 5 — Boundary-Safe Disclosure

Purpose: Ensure expanded auditability does not become exposure, extraction, or surveillance.

Actions:

  • define who needs access to what and why;
  • protect sensitive affected-node data;
  • preserve consent and scope;
  • separate public proof from private evidence;
  • make the audit path useful without overexposure.

Validation:

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BΣ preserved
audit access scoped
reviewability increases without extraction

Phase 6 — Route to Repair

Purpose: Convert audit expansion into restoration, not just visibility.

Actions:

  • identify required follow-on arc;
  • route to origin-layer repair, feedback restoration, authority clarification, or truth reconstruction;
  • define responsibility-mapping requirements;
  • establish temporal review window;
  • preserve audit trail for recurrence validation.

Validation:

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next restoration arc selected
audit outputs actionable
report does not replace repair

7. Gates

7.1 Required Gates

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GateRequirementFailure Result
FI-GateAudit must support feedback aligned to O, not only ΦArc resets
HR-GateNo certainty claims exceeding trace supportClaim blocked
MS-GateNo status exemption from audit surfaceAudit invalid
Au-ActuationActuation must be traceable before enforcement or repairActuation forbidden or provisional
BΣ-GateAudit expansion must preserve boundaries and scopeArc aborts or reroutes
Λ-GateAudit findings alone do not authorize recouplingRecoupling blocked
☷ᵢ Principle GatesNon-negotiable invariants hold outcome

7.2 Gate Failure Rule

If any required gate fails:

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∅ — Audit Surface Expansion cannot validly proceed in that form.

The system must either:

  • protect boundaries first;
  • preserve evidence without disclosure;
  • reduce audit scope;
  • add independent review;
  • expand traceability before actuation;
  • reroute to truth reconstruction;
  • block enforcement until auditability is adequate.

8. Diagnostics

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DiagnosticExpected TrendMeaning
AuAuditability and traceability improve
X_c / Au_effAuditability better matches constraint complexity
HBecomes visible, then repairableHidden debt no longer protected by opacity
ιOpacity-protected inversion weakens
Φ/O divergenceVisible or ↓Proxy success no longer hides coherence loss
AP(t)Attribution pressure differentiates into causal trace
τ_respResponse improves because trace is accessible
τ_mMore observableRecurrence memory becomes inspectable
Stable / ↑Audit does not violate boundaries
RMore directedRepair capacity can be aimed correctly

8.2 Arc-Specific Diagnostic Thresholds

Suggested thresholds:

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Au_eff increases before enforcement, closure, or recoupling
X_c / Au_eff decreases to acceptable range
decision provenance becomes traceable
authority path becomes reviewable
affected-node verification path exists where applicable
audit output routes to repair

Audit Surface Expansion is not complete if:

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audit outputs are unusable
audit increases surveillance without reviewability
status exemption remains
decision provenance is still hidden
Au decreases after disclosure
report publication substitutes for repair
Φ improves while O remains unverified

9. Anti-Patterns / False Restorations

9.1 Common False Versions

This arc is being simulated, not executed, if:

  • transparency produces volume without traceability;
  • audit access exists only for the authority being audited;
  • disclosure overwhelms rather than clarifies;
  • dashboards replace decision provenance;
  • reports are published without repair routing;
  • audit expansion becomes surveillance expansion;
  • affected-node data is exposed without protection;
  • process is reviewable only in theory;
  • authority remains hidden behind policy, interface, model, or vendor layers;
  • appeals exist but cannot inspect the decision path;
  • compliance artifacts hide field incoherence.

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Anti-PatternWhy It Fails
Transparency TheaterShows information without enabling review, repair, or appeal
Surveillance ExpansionIncreases visibility into affected nodes while preserving opaque power
Compliance TheaterProduces artifacts while causal trace remains hidden
Audit CaptureAudit surface is controlled by the system being audited
Rule-Stacking WallComplexity exceeds auditability
Interface CaptureInterface controls what can be seen or contested
Report Without RepairAudit output is treated as completion

10. Completion Criteria

10.1 Post-State Signature

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VariableRequired Post-State
OMore inspectable and no longer certified by proxy alone
HVisible enough to route repair
εBounded, classified, and attributable
ιReduced through opacity exposure
AuIncreased to adequate level for next action
µᵢProtected from invalid attribution or unreviewable authority
Preserved through scoped audit exposure
KNot used for recoupling unless later validated
RDirected toward repair path revealed by audit
ΦSubordinate to O; compliance artifacts cannot certify coherence

10.2 Temporal Proof

Audit Surface Expansion cannot be declared complete until the expanded surface remains usable over time.

Template:

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Completion requires Au_eff(t+n) ≥ Au_eff(t),
X_c / Au_eff decreasing,
decision provenance remaining traceable,
and audit output routing into repair rather than closure.

Minimum temporal proof:

  • decision path remains accessible after initial review;
  • authority path remains reviewable;
  • audit trail resists retroactive alteration;
  • affected-node verification remains possible where applicable;
  • follow-on repair arc is selected;
  • recurrence can be inspected through the expanded surface.

10.3 Completion Statement

Canonical format:

This arc is complete only when the decision, authority, evidence, and affected-node surfaces are sufficiently traceable for repair, appeal, prevention, or accountability to proceed without relying on opaque trust.


TableScroll
ArcRelationship
RA-002 — Truth and Causal ClarificationPrecursor or companion when causality is unclear
RA-003 — Origin-Layer RepairFollow-on after audit reveals required repair layer
RA-008 — Feedback Integrity RestorationCompanion when metrics or feedback are captured
RA-016 — Truth ReconstructionFollow-on when evidence was suppressed or distorted
RA-017 — U4-to-U6 ValidationCompanion when claims must be field-tested
RA-050 — Authority Registry ClarificationDomain expression for hidden authority
RA-051 — Signed Decision ProvenanceDomain expression for decision traceability
RA-052 — Tamper-Evident Audit RestorationDomain expression for protected audit history

TableScroll
Failure ModeRelationship
Auditability CollapseRepairs
Hidden Decision SurfaceRepairs
Opaque PowerRepairs
Rule-Stacking WallRepairs
Interface CaptureOften co-occurs
Proxy-Relay DriftOften co-occurs
Metric SubstitutionOften co-occurs
Security TheaterFalse-restoration risk
Procedural TheaterFalse-restoration risk
AI Rule-Stacking WallDomain expression
Consent TheaterOften protected by audit failure

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Au, X_c, H, ι, Φ/O divergence, AP(t), τ_resp, τ_m, BΣ, R

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INV — Coherence cannot be inferred from appearance alone.
INV — Repair requires traceability sufficient to locate the failure layer.
LAW — Auditability must scale with constraint complexity.
LAW — Φ improvement is not O restoration.
LAW — Responsibility requires traceability.
LAW — Opaque power accumulates hidden debt.
LAW — Appeal without inspectability is procedural theater.

12. Domain Notes

12.1 AI / Cognitive Infrastructure

Check:

  • model output provenance;
  • classifier trigger path;
  • system / developer / policy constraint pathway;
  • tool-call trace;
  • memory access and retrieval trace;
  • evaluator and benchmark provenance;
  • authority registry;
  • user-facing appeal path;
  • whether logs are sufficient for incident reconstruction.

AI audit expansion must distinguish model behavior, policy layer, memory layer, tool layer, evaluator layer, product layer, and governance layer.


12.2 Justice / Governance / Legitimacy

Check:

  • authority chain;
  • enforcement criteria;
  • decision standard;
  • evidence access;
  • appealability;
  • rank immunity;
  • public vs private legitimacy claims;
  • whether disclosure protects truth or controls narrative.

Audit expansion in JGL systems must make power traceable without exposing harmed nodes to extraction.


12.3 Biology / Medicine

Conceptual systems mapping only.

Audit Surface Expansion in biological systems means improving traceability of trigger, boundary condition, timing, clearance, recurrence, load, signal pathway, and repair response.

Not diagnosis.

Not treatment.

Not medical advice.


12.4 Economy

Check:

  • hidden flows;
  • debt chains;
  • externalized costs;
  • contract dependencies;
  • ownership/control pathways;
  • allocation rules;
  • survival-edge pressure;
  • whether profit Φ hides coherence loss.

Economic audit expansion makes circulation, burden, dependency, and extraction pathways inspectable.


12.5 CMS / Meaning / Archetypes

Check:

  • symbolic authority claims;
  • sacred immunity;
  • taboo-protected opacity;
  • identity-bound certainty;
  • archetypal role claims;
  • meaning systems that cannot be questioned;
  • whether mystery is preserving depth or suppressing auditability.

Meaning systems can preserve symbolic compression while still allowing audit gates to operate.


13. Machine-Readable Metadata

yamlScroll
id: "RA-004"
title: "Audit Surface Expansion"
aliases:
  - "Audit Expansion"
family_primary: "Auditability"
families_secondary:
  - "Core"
  - "Coherence"
  - "Security"
  - "Cybernetics"
  - "Justice / Governance / Legitimacy"
  - "AI Governance"
  - "Economy"
  - "Boundary"
treatment: "Canon Parent Arc"
status: "Canon-Ready"
scope:
  - "Local"
  - "Relational"
  - "Institutional"
  - "AI"
  - "Economic"
  - "Civilizational"
  - "Cross-Domain"
u_layers:
  failure_origin:
    - "commonly U3"
    - "commonly U4"
    - "commonly U5"
  symptom_visible:
    - "U6 field harm"
    - "appeal failure"
    - "public trust loss"
    - "dashboard mismatch"
  repair_required:
    - "same or lower than opaque decision or control layer"
  validation:
    - "U5"
    - "U6"
    - "U7"
operators:
  scaffold: "Au surface expansion → Μ decision-path mapping → Ψ signal recovery → Ξ opacity inversion detection → Π boundary-safe disclosure → Σ audit standard lock → Τ review validation"
  sequence:
    - "Au"
    - "Μ"
    - "Ψ"
    - "Ξ"
    - "Π"
    - "Σ"
    - "Τ"
    - "ℛ routing"
state_variables:
  primary:
    - "Au"
    - "X_c"
    - "H"
    - "ι"
  secondary:
    - "O"
    - "BΣ"
    - "R"
    - "Φ"
diagnostics:
  - "Φ/O divergence"
  - "AP(t)"
  - "τ_resp"
  - "τ_m"
gates_required:
  - "FI-Gate"
  - "HR-Gate"
  - "MS-Gate"
  - "Au-Actuation"
  - "BΣ-Gate"
  - "Λ-Gate"
  - "☷ᵢ"
linked_failure_modes:
  - "Auditability Collapse"
  - "Hidden Decision Surface"
  - "Opaque Power"
  - "Rule-Stacking Wall"
  - "Interface Capture"
  - "Proxy-Relay Drift"
  - "Metric Substitution"
  - "Security Theater"
  - "Procedural Theater"
  - "AI Rule-Stacking Wall"
  - "Consent Theater"
linked_restoration_arcs:
  - "RA-002"
  - "RA-003"
  - "RA-008"
  - "RA-016"
  - "RA-017"
  - "RA-050"
  - "RA-051"
  - "RA-052"
anti_patterns:
  - "Transparency Theater"
  - "Surveillance Expansion"
  - "Compliance Theater"
  - "Audit Capture"
  - "Rule-Stacking Wall"
  - "Interface Capture"
  - "Report Without Repair"
completion_tests:
  - "Au_eff increases before enforcement, closure, or recoupling"
  - "X_c / Au_eff decreases to acceptable range"
  - "decision provenance becomes traceable"
  - "authority path becomes reviewable"
  - "affected-node verification path exists where applicable"
  - "audit output routes to repair"
summary: "Audit Surface Expansion restores traceability by expanding the inspectable decision, authority, evidence, and affected-node surfaces until repair, appeal, prevention, or accountability can proceed."


Final Calibration Rule

Audit Surface Expansion answers six questions:

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What hidden debt is protected by opacity?
What boundary must be preserved while auditability increases?
What decision, authority, evidence, or affected-node surface must become traceable?
What coupling, enforcement, or closure must remain blocked until auditability is adequate?
What repair trajectory becomes selectable once the audit surface expands?
How is auditability proven usable over time rather than performed once?