FM-S-017 — Terminal Scaling Failure

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FM-S-017 — Terminal Scaling Failure

Terminal Scaling Failure occurs when a system continues expanding, accelerating, coupling, optimizing, centralizing, standardizing, or increasing load after it has exceeded the coherence, auditability, restoration, bandwidth, boundary, legitimacy, meaning, or adaptation conditions required to survive further scale.

draftid: FM-S-017version: 0.1.0updated: 2026-06-19
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0. Scaling Scope Note

This entry is conceptual and systems-oriented.

It does not treat all growth, expansion, acceleration, centralization, standardization, optimization, consolidation, or increased reach as inherently failed.

Scale can be valid.

Scaling may be healthy when it is:

  • gated
  • reversible where possible
  • auditable
  • coherence-compatible
  • bandwidth-supported
  • restoration-supported
  • boundary-preserving
  • meaning-preserving
  • legitimacy-preserving
  • locally validated
  • globally compatible
  • protected by damping
  • able to pause
  • able to shed load
  • able to repair affected states
  • able to detect its own limits

The failure begins when a system continues scaling after it has exceeded survivable scale conditions.

A valid system treats scale as conditional.

A failed system treats scale as inevitability.

Terminal Scaling Failure occurs when further growth, acceleration, coupling, reach, or optimization no longer increases capability but instead converts unresolved failure modes into collapse dynamics.

The problem is not scale.

The problem is scale continuing after coherence, repair, audit, boundary, bandwidth, and legitimacy capacity have been exceeded.


1. Definition

Terminal Scaling Failure occurs when a system continues expanding, accelerating, coupling, optimizing, centralizing, standardizing, or increasing load after it has exceeded the coherence, auditability, restoration, bandwidth, boundary, legitimacy, meaning, or adaptation conditions required to survive further scale.

Terminal scale may be reached through:

  • growth beyond governance capacity
  • complexity beyond interpretation capacity
  • coupling beyond boundary integrity
  • load beyond bandwidth
  • hidden debt beyond restoration
  • reach beyond legitimacy
  • optimization beyond meaning
  • centralization beyond requisite variety
  • automation beyond auditability
  • security scope beyond monitoring
  • AI deployment beyond redress capacity
  • institutional authority beyond trust
  • economic expansion beyond delivery capacity
  • platform dominance beyond consent validity
  • civilization interface beyond ethical containment
  • infrastructure dependence beyond resilience
  • abstraction beyond grounding
  • speed beyond damping

Terminal Scaling Failure may appear as:

  • collapse after rapid expansion
  • governance impossibility
  • runaway optimization
  • irreversible coupling
  • uncontainable hidden debt
  • trust collapse
  • legitimacy shock
  • brittle scale
  • global instability from local incoherence
  • mass failure propagation
  • repair impossibility
  • control impossibility
  • audit impossibility
  • bandwidth collapse
  • terminal drift
  • systemic overload
  • scale-induced meaning loss
  • growth that destroys the conditions of further growth

The core failure is:

textScroll
scale increases
→ load, coupling, debt, and complexity increase
→ coherence conditions are exceeded
→ warnings are suppressed or misread
→ expansion continues
→ repair and audit cannot catch up
→ collapse dynamics become self-amplifying

Terminal Scaling Failure is not merely a large failure.

It is failure caused by continuing scale past the system’s survivable limit.


2. Core Pattern

The core pattern is:

  1. A system succeeds or survives at one scale.
  2. Expansion, acceleration, centralization, or optimization is rewarded.
  3. Load, coupling, complexity, and impact increase.
  4. Hidden debt and restoration demand increase.
  5. Audit, bandwidth, damping, and boundary capacity lag.
  6. Early warnings appear.
  7. Warnings are reframed as growing pains, resistance, inefficiency, or isolated incidents.
  8. Scale continues.
  9. Failure modes begin interacting.
  10. Local failures propagate across the system.
  11. Repair capacity becomes insufficient.
  12. De-scaling becomes costly or impossible.
  13. Collapse dynamics become terminal.

A healthy system says:

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scale is valid only while coherence, auditability, restoration, bandwidth, boundaries, and legitimacy scale with it

A terminally scaling system says:

textScroll
continued scale will solve the problems created by scale

The failure often appears as momentum.

The system is growing.

Demand is increasing.

Adoption is rising.

Efficiency is improving.

Reach is expanding.

But these signals are no longer indicators of health.

They have become accelerants.


3. Failure Signature

Typical signature:

textScroll
scale↑
coupling↑
load↑
complexity↑
hidden debt↑
bandwidth saturation↑
restoration capacity lag↑
auditability coverage↓
boundary stress↑
collapse propagation risk↑
O↓↓

Extended signature:

textScroll
growth continues
repair cannot catch up

reach expands
legitimacy weakens

automation accelerates
auditability collapses

coupling increases
boundaries fail

demand rises
bandwidth saturates

scale succeeds
until scale becomes the failure

Common verbal signatures include:

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we cannot slow down now
scale will give us the resources to fix this
these are growing pains
the market demands it
we need to move faster
we will repair after expansion
stopping would be more dangerous
the model works at scale
the system is too important to pause
the problems are isolated
growth proves viability
we need everyone on one platform

Common system signatures include:

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a platform expands faster than moderation, support, security, and redress can scale
an AI system deploys broadly before audit, consent, appeal, or repair structures mature
an institution centralizes authority beyond its ability to perceive local conditions
an economy expands extraction while delivery, legitimacy, and ecological repair fail
a security architecture grows integrations faster than monitoring and boundary control
a justice process accumulates cases faster than restoration or legitimacy can respond
a software system scales users over technical debt until migration becomes impossible
a governance system increases rule complexity beyond interpretive capacity

The defining condition is not size.

The defining condition is scale beyond survivable coherence conditions.


4. Primary U-Layer Origin

Common origin layers:

  • U1 — Power / Budgets: growth incentives overpower repair, audit, boundary, or legitimacy constraints.
  • U2 — Configuration / Boundaries: coupling increases beyond boundary integrity.
  • U3 — Execution / Runtime: operations run beyond throughput and resilience capacity.
  • U4 — Information / Truth: warnings, failures, and debt are hidden or misclassified.
  • U5 — Coordination / Time: scale accelerates faster than governance, repair, or adaptation can respond.
  • U6 — Coherence Field: legitimacy, meaning, and trust decay beneath expansion.
  • U7 — Memory / Recurrence: prior success at smaller scale is misused as proof of future scale safety.
  • U8 — Environment / Field: markets, institutions, competition, crises, or external incentives reward expansion past limits.

Common manifestation layers:

  • U1 — Resources: resources are pulled toward growth instead of repair.
  • U2 — Boundaries: boundaries fail under coupling pressure.
  • U3 — Execution: runtime control becomes impossible.
  • U4 — Truth: audit and observability collapse.
  • U5 — Time: transition windows close.
  • U6 — Field: trust, legitimacy, and meaning collapse.
  • U8 — Field: external systems absorb exported incoherence.

Terminal Scaling Failure is primarily an O / H / R / Au / K failure.

The system grows the burden faster than it grows coherence and repair.


5. Typical Development Sequence

A common development sequence is:

  1. A system performs well at limited scale.
  2. Success metrics reward expansion.
  3. Growth becomes a default objective.
  4. Complexity, coupling, and load increase.
  5. Warning signals emerge.
  6. Warnings are interpreted as temporary growing pains.
  7. Hidden debt accumulates.
  8. Bandwidth and audit capacity saturate.
  9. Restoration capacity lags.
  10. Boundary integrity weakens.
  11. Failure modes begin interacting.
  12. De-scaling becomes politically, economically, technically, or socially costly.
  13. The system passes a terminal threshold.
  14. Collapse becomes self-propagating.

The loop often looks like:

textScroll
success → scale → load → hidden debt → repair lag → more scale pressure → terminal failure

Another common loop is:

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scale creates problems → growth promised as solution → scale increases → problems become unrepairable

Terminal Scaling Failure becomes durable when the system cannot distinguish growth momentum from coherence.


6. Diagnostic Markers

Diagnostic markers include:

  • Growth continues despite unresolved debt.
  • Expansion is justified by the need to fund later repair.
  • Audit coverage decreases as reach increases.
  • Restoration queues grow faster than repair capacity.
  • Boundary failures appear across multiple interfaces.
  • Decision-makers rely on compressed reports because full state is unprocessable.
  • Local failures propagate globally.
  • Affected states multiply faster than redress structures.
  • Support, security, compliance, and repair functions remain under-scaled.
  • Exit, rollback, or de-scaling becomes impractical.
  • Legitimacy claims increase while trust declines.
  • The system treats warning signals as resistance to scale.
  • Meaning, consent, and alignment language become hollow under reach.
  • Integration load exceeds governance capacity.
  • Collapse risk becomes nonlinear and difficult to contain.

Useful diagnostics:

  • Scale-Coherence Ratio: Compares system scale to coherence capacity.
  • Terminal Scale Risk: Estimates proximity to survivability threshold.
  • Restoration Capacity Lag: Measures repair capacity relative to burden.
  • Auditability Coverage: Measures how much of scaled operation remains inspectable.
  • Hidden Debt Load: Tracks unresolved burden under expansion.
  • Boundary Stress: Measures coupling pressure and boundary failure risk.
  • Bandwidth Saturation: Measures processing load relative to capacity.
  • Legitimacy Shock Risk: Estimates risk of rapid trust or legitimacy collapse.
  • Irreversibility Exposure: Measures difficulty of rollback, exit, or de-scaling.
  • Collapse Propagation Risk: Tests how easily local failures become system-wide.

Relevant gates include:

  • Terminal Scale Gate: Fails when the system exceeds survivable scale conditions.
  • Scale Expansion Gate: Fails when growth continues despite unmet constraints.
  • Coherence Capacity Gate: Fails when coherence cannot support expanded load.
  • Restoration Capacity Gate: Fails when repair cannot scale with burden.
  • Auditability Scale Gate: Fails when inspection coverage declines with reach.
  • Boundary Integrity Gate: Fails when coupling exceeds boundary strength.
  • Bandwidth Gate: Fails when signal, decision, or repair load exceeds processing capacity.
  • Hidden Debt Gate: Fails when accumulated debt no longer constrains expansion.
  • Legitimacy Scale Gate: Fails when impact exceeds trust, consent, or justification.
  • Irreversibility Gate: Fails when rollback or de-scaling becomes impractical before validation.

The first common gate failure is usually the Scale Expansion Gate.

Once growth proceeds without passing coherence, auditability, restoration, boundary, and bandwidth checks, scaling becomes unsafe.


Relevant operators include:

  • O — Coherence: Primary operator; collapses when scale exceeds coherence capacity.
  • H — Hidden Debt: Accumulates rapidly under growth and deferred repair.
  • R — Restoration Capacity: Determines whether burden can be repaired at scale.
  • Au — Auditability: Determines whether scaled reality can still be inspected.
  • K — Constraint / Load: Rises with complexity, obligation, coupling, and throughput.
  • BΣ — Boundary Integrity: Fails when coupling and reach exceed boundary strength.
  • D — Damping: Needed to slow expansion, reduce oscillation, and prevent propagation.
  • G — Gain: Amplifies growth, urgency, optimization, and expansion pressure.
  • Τ — Trajectory / Time: Tracks acceleration, transition windows, and terminal thresholds.
  • Ψ — Observation / Interface: May display growth while hiding degraded state.
  • Φ — Flow / Resource Movement: Routes resources toward growth or repair.
  • Γ — Selection: Selects expansion-favoring structures over coherence-preserving structures.
  • M — Meaning: Collapses when scale strips purpose, consent, or legitimacy.
  • Λ — Compatibility: Tests whether expanded couplings remain compatible.

Common operator pattern:

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G rewards expansion
scale increases
K rises
H accumulates
Au coverage declines
R lags
BΣ weakens
D is bypassed
M decays
O collapses

The core operator inversion is:

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growth → viability

instead of:

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growth + coherence capacity + auditability + restoration capacity + boundary integrity + legitimacy → possible viability

Terminal Scaling Failure turns growth from capability into collapse vector.


  • Scale Must Remain Coherence-Compatible: growth is invalid when coherence cannot sustain it.
  • Expansion Must Not Outrun Auditability: scale without inspection becomes hidden instability.
  • Growth Must Not Exceed Restoration Capacity: expansion must not create more burden than repair can handle.
  • Scale Requires Boundary Integrity: coupling and reach require stronger boundaries.
  • Complexity Must Remain Governable: complexity beyond governance becomes collapse.
  • Terminal Scale Must Be Gated Before Irreversibility: irreversible scale requires prior validation.
  • Coherence Failure at Scale Becomes Collapse: large-scale incoherence propagates.
  • No System May Expand Past Its Repair Base: repair capacity is a hard scaling constraint.
  • Capacity Collapse: control fails when load exceeds capacity.
  • Hidden Debt Explosion: deferred burden can surface faster than repair.
  • Bandwidth Saturation: signal and decision load can exceed processing capacity.
  • Meaning Collapse: scale can hollow purpose and referential integrity.
  • Scaling Must Be Reversible Until Validated: rollback must remain possible until scale safety is proven.
  • Scale Must Be Gated by Coherence: growth requires coherence checks.
  • Auditability Must Scale With Reach: inspection must grow with scope.
  • Restoration Capacity Must Scale With Burden: repair must grow with impact.
  • Boundary Integrity Must Scale With Coupling: boundaries must strengthen as connections multiply.
  • Bandwidth Must Scale With Load: processing capacity must grow with demand.
  • Legitimacy Must Scale With Impact: authority, reach, and harm potential require matching legitimacy.
  • Terminal Warnings Must Override Growth Pressure: signs of terminal scale must pause expansion.

10. Common False Positives

Not every large-scale failure is Terminal Scaling Failure.

Common false positives include:

  • Failure caused by an external shock despite valid scaling conditions.
  • Temporary overload during a planned, gated transition.
  • Large systems with strong auditability, repair capacity, and reversibility.
  • Growth that pauses when coherence gates fail.
  • Scale with bounded coupling and strong local autonomy.
  • High complexity that remains governable and observable.
  • Expansion paired with proportional restoration and support capacity.
  • Collapse caused by a localized defect that does not derive from scale.
  • Short-term instability during controlled de-scaling.
  • Strategic consolidation that preserves boundaries, consent, and audit.
  • Large adoption that remains voluntary, reversible, and repair-supported.
  • Systems that detect terminal warnings and stop expansion.

Clarifying rule:

This is not Terminal Scaling Failure unless continued scale itself drives the system beyond coherence, auditability, restoration, boundary, bandwidth, legitimacy, or adaptation capacity.

Scale can be survivable.

It fails when it outruns the conditions that make survival possible.


11. Common False Repairs

Common false repairs include:

  • scaling faster to obtain repair resources
  • adding dashboards without audit coverage
  • centralizing control over an ungovernable system
  • automating beyond accountability
  • compressing reports until warnings vanish
  • adding support without reducing load
  • rebranding collapse signals as growing pains
  • treating local failures as isolated
  • increasing optimization pressure
  • expanding policy while reducing interpretability
  • freezing dissent to preserve confidence
  • using legitimacy language instead of legitimacy repair
  • adding more integrations over boundary stress
  • delaying rollback because exit is costly
  • declaring resilience because collapse has not yet occurred

False repair often produces the loop:

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scale causes failure
→ system scales further to solve it
→ load increases
→ repair falls further behind
→ terminal risk increases

Another common loop is:

textScroll
warnings appear
→ warnings reframed as growth friction
→ growth continues
→ warnings become collapse signals

The repair fails because it treats scale-created failure as a reason for more scale.


12. Restoration Direction

Restoration requires pausing unsafe expansion, auditing terminal scale risk, reducing load and coupling, increasing audit and restoration capacity, repairing hidden debt, restoring boundary integrity, and de-scaling where survivability conditions cannot be restored at current size.

Primary restoration direction:

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stop scale until coherence can carry it

A fuller restoration path includes:

  1. Freeze unsafe expansion. Pause growth, integration, deployment, or acceleration where terminal signs appear.
  2. Measure current scale load. Map reach, coupling, complexity, affected states, throughput, and obligations.
  3. Audit coherence capacity. Determine whether the system can remain coherent at current scale.
  4. Measure restoration capacity lag. Compare repair demand with repair throughput.
  5. Audit hidden debt. Identify unresolved burden under growth.
  6. Measure auditability coverage. Determine what portions of the system are no longer inspectable.
  7. Assess boundary stress. Identify coupling, dependency, and interface failures.
  8. Measure bandwidth saturation. Check signal, decision, support, and repair load.
  9. Evaluate legitimacy scale. Test whether trust, consent, and justification match impact.
  10. Identify irreversibility exposure. Determine rollback and de-scaling difficulty.
  11. Shed nonessential load. Remove low-value complexity, integrations, obligations, and channels.
  12. Reduce coupling. Re-separate boundaries and restore modularity.
  13. Scale repair before growth. Fund restoration, support, audit, and affected-state repair.
  14. De-scale if needed. Reduce reach or complexity when survivability cannot be restored.
  15. Revalidate before expansion. Only resume scaling after gates pass.

A valid restoration path should reduce:

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terminal scale risk
restoration capacity lag
hidden debt load
bandwidth saturation
boundary stress
auditability gap
legitimacy shock risk
collapse propagation risk
irreversibility exposure

Terminal Scaling Failure is not repaired by surviving one more growth cycle.

It is repaired by restoring scale to the conditions coherence can actually support.


  • Scaling: Primary family; this is the terminal expression of scale outrunning coherence conditions.
  • Core: Strongly linked to Pseudo-Coherence and Hidden Debt Accumulation.
  • Cybernetics: Capacity collapse and control impossibility often appear when scale exceeds requisite variety.
  • Obfuscated Meta Dynamics: Runaway optimization and audit collapse can push systems past terminal scale.
  • Security: Integrations, alerts, permissions, surveillance, and response load can exceed boundary and monitoring capacity.
  • AI Governance: AI deployment can outrun audit, consent, redress, interpretability, and restoration capacity.
  • Economy: Expansion can exceed delivery, circulation, repair, and legitimacy capacity.
  • Civilization Interface: High-scale interface failures can become species-level legitimacy and containment failures.
  • Restoration: Restoration starvation becomes terminal when growth continues over unpaid debt.
  • Justice: Unresolved cases and legitimacy debt can scale into institutional collapse.
  • Coherence: Coherence requires scale to remain gated by repair, truth, boundary, meaning, and legitimacy.

14. Relationship to Parent / Child Modes

Production treatment: Standalone Entry

This mode maps upward to:

  • FM-C-013 — Capacity Collapse / Control Impossibility
  • FM-S-010 — Hidden Debt Explosion
  • FM-S-015 — Bandwidth Saturation
  • FM-S-006 — Restoration Starvation
  • FM-OMD-007 — Runaway Optimization Trap

Sibling or related Scaling modes include:

  • FM-S-002 — Overcoupling Meltdown
  • FM-S-003 — Boundary Brittleness Trap
  • FM-S-004 — Premature Convergence
  • FM-S-006 — Restoration Starvation
  • FM-S-009 — Meta Migration Shock
  • FM-S-010 — Hidden Debt Explosion
  • FM-S-011 — Tyrant Stability Trap
  • FM-S-012 — Meaning Collapse
  • FM-S-014 — Fractal Failure Replication
  • FM-S-015 — Bandwidth Saturation
  • FM-S-016 — Ring-Down Failure

Related cross-family modes include:

  • FM-CORE-001 — Pseudo-Coherence
  • FM-CORE-002 — Hidden Debt Accumulation
  • FM-C-010 — Requisite Variety Failure
  • FM-C-011 — Zero-Slack Collapse
  • FM-C-013 — Capacity Collapse / Control Impossibility
  • FM-C-018 — Goodhart Collapse
  • FM-C-020 — Measurement Back-Action Loop
  • FM-OMD-003 — Audit Collapse Cascade
  • FM-OMD-007 — Runaway Optimization Trap
  • FM-OMD-009 — Restoration Bottleneck Collapse
  • FM-ECO-010 — Expansion Without Capacity
  • FM-CIF-010 — Species-Level Σ Violation

Aliases preserved from source material:

  • Terminal Scaling Failure
  • Terminal Scale Collapse
  • Scale Limit Breach
  • Runaway Scaling Collapse
  • Irreversible Scale Failure
  • Scale-Induced System Failure
  • Expansion Beyond Coherence
  • Terminal Growth Failure
  • Scaling Point of No Return
  • Scale Fatality Threshold

15. Minimal Entry Version

Definition: Terminal Scaling Failure occurs when a system continues expanding, accelerating, coupling, optimizing, centralizing, standardizing, or increasing load after it has exceeded the coherence, auditability, restoration, bandwidth, boundary, legitimacy, meaning, or adaptation conditions required to survive further scale.

Signature:

textScroll
scale↑
coupling↑
load↑
complexity↑
hidden debt↑
bandwidth saturation↑
restoration capacity lag↑
auditability coverage↓
boundary stress↑
collapse propagation risk↑
O↓↓

Restoration direction:

  • freeze unsafe expansion
  • measure current scale load
  • audit coherence capacity
  • measure restoration capacity lag
  • audit hidden debt
  • measure auditability coverage
  • assess boundary stress
  • measure bandwidth saturation
  • evaluate legitimacy scale
  • identify irreversibility exposure
  • shed nonessential load
  • reduce coupling
  • scale repair before growth
  • de-scale if needed
  • revalidate before expansion

16. Machine-Readable Summary

yamlScroll
failure_mode:
  id: "FM-S-017"
  name: "Terminal Scaling Failure"
  family: "Scaling"
  production_treatment: "Standalone Entry"
  parent_modes:
    - "FM-C-013 — Capacity Collapse / Control Impossibility"
    - "FM-S-010 — Hidden Debt Explosion"
    - "FM-S-015 — Bandwidth Saturation"
    - "FM-S-006 — Restoration Starvation"
    - "FM-OMD-007 — Runaway Optimization Trap"
  primary_failure: "A system continues expanding, accelerating, coupling, optimizing, centralizing, standardizing, or increasing load after it has exceeded the coherence, auditability, restoration, bandwidth, boundary, legitimacy, meaning, or adaptation conditions required to survive further scale."
  source: "UTS — Failure Modes Registry"
  source_id: "FM-S-017"
  scope_note: "Conceptual and systems-oriented; does not treat all growth, expansion, acceleration, centralization, standardization, optimization, consolidation, or increased reach as inherently failed."
  aliases:
    - "Terminal Scaling Failure"
    - "Terminal Scale Collapse"
    - "Scale Limit Breach"
    - "Runaway Scaling Collapse"
    - "Irreversible Scale Failure"
    - "Scale-Induced System Failure"
    - "Expansion Beyond Coherence"
    - "Terminal Growth Failure"
    - "Scaling Point of No Return"
    - "Scale Fatality Threshold"
  signature:
    - "scale↑"
    - "coupling↑"
    - "load↑"
    - "complexity↑"
    - "hidden debt↑"
    - "bandwidth saturation↑"
    - "restoration capacity lag↑"
    - "auditability coverage↓"
    - "boundary stress↑"
    - "collapse propagation risk↑"
    - "O↓↓"
  primary_layers:
    origin:
      - "U1 — Power / Budgets"
      - "U2 — Configuration / Boundaries"
      - "U3 — Execution / Runtime"
      - "U4 — Information / Truth"
      - "U5 — Coordination / Time"
      - "U6 — Coherence Field"
      - "U7 — Memory / Recurrence"
      - "U8 — Environment / Field"
    manifestation:
      - "U1 — Resources"
      - "U2 — Boundaries"
      - "U3 — Execution"
      - "U4 — Truth"
      - "U5 — Time"
      - "U6 — Field"
      - "U8 — Field"
  state_variables:
    - "O"
    - "H"
    - "R"
    - "Au"
    - "K"
    - "BΣ"
    - "D"
    - "G"
    - "Τ"
    - "Ψ"
    - "Φ"
    - "Γ"
    - "M"
    - "Λ"
  first_gate_failure: "Scale Expansion Gate"
  restoration:
    - "Terminal Scale Risk Audit"
    - "Scale Freeze / Pause"
    - "Coherence Capacity Revalidation"
    - "Hidden Debt Paydown"
    - "Restoration Capacity Scaling"
    - "Boundary Re-Separation"
    - "Bandwidth Recovery"
    - "Auditability Expansion"
    - "Load Shedding"
    - "Safe De-Scaling"