1. Short Definition
Causal Traceability is the ability to follow cause, state, action, decision, consequence, and repair path across system layers.
2. Canonical Definition
In UTS, Causal Traceability is a core component of auditability.
It determines whether a system can answer:
What happened?
What caused it?
Who or what changed state?
Which decision mattered?
What consequence followed?
Where did hidden debt move?
What must be repaired?Without causal traceability, truth reconstruction, accountability, governance, safety, and restoration degrade.
3. Functional Role in UTS
Causal Traceability supports:
- auditability
- feedback integrity
- justice
- AI provenance
- contract validity
- governance legitimacy
- failure mode analysis
- restoration design
- recurrence prevention
- time validation
It prevents systems from treating visible symptoms as isolated events when they are actually downstream effects of deeper causes.
4. Diagnostic Signatures
Causal traceability increasing
Au↑
Au_eff↑
X_c manageable
cause-path visible
decision-path visible
repair-path visible
H↓Causal traceability declining
Au↓
Au_eff↓
X_c > Au_eff
cause obscured
responsibility diffused
H↑
recurrence unexplainedFalse traceability
timeline exists
but causality, responsibility, and repair path remain unclearThis is documentation without auditability.
5. Canonical Distinctions
Causal Traceability is not blame
It maps cause and consequence before assigning responsibility.
Causal Traceability is not surveillance
Surveillance collects visibility.
Traceability preserves accountable cause-paths.
Causal Traceability is not documentation
Documentation may exist while causal structure remains hidden.
Causal Traceability is not certainty
It supports falsifiable reconstruction, not premature closure.
6. U-Layer Mapping
| U-Layer | Causal Traceability Expression |
|---|---|
| U0 | Material cause and substrate effects can be followed. |
| U1 | Resource flows and capacity constraints are visible. |
| U2 | Permissions, contracts, boundaries, and access changes are traceable. |
| U3 | Runtime actions and execution paths can be inspected. |
| U4 | Labels, metrics, and claims can be checked against cause. |
| U5 | Timing, latency, and sequence are preserved. |
| U6 | Field-level consequences can be linked to origins. |
| U7 | Recurrence and memory preserve causal continuity. |
| U8 | External forcing is distinguished from internal failure. |
7. Common Failure Patterns
| Failure Pattern | Description |
|---|---|
| Auditability Collapse | Cause, decision, or consequence can no longer be traced. |
| Obfuscation | Causal pathways are intentionally or structurally hidden. |
| Metric Substitution | A proxy hides the real causal target. |
| Scapegoat Collapse | A symbolic cause replaces structural cause. |
| Quiet Minimization | Closure is performed before causality is reconstructed. |
8. Restoration Implications
Truth reconstruction depends on causal traceability.
Typical restoration sequence:
Ψ receive reports
→ Μ map events
→ reconstruct sequence
→ identify U-layer origins
→ distinguish symptom from cause
→ restore Au
→ identify repair path
→ Τ validate recurrence reductionA system cannot repair what it cannot causally trace.
9. Machine-Readable Summary
glossary_entry:
id: "GL-103"
term: "Causal Traceability"
symbol: "Au"
short_definition: "The ability to follow cause, state, action, decision, consequence, and repair path across system layers."
term_family: "Foundational System Terms"
term_class:
- "Core Concept"
- "Auditability Primitive"
- "Truth Infrastructure"
diagnostic_positive:
- "Au↑"
- "Au_eff↑"
- "cause-path visible"
- "decision-path visible"
- "repair-path visible"
diagnostic_negative:
- "Au↓"
- "Au_eff↓"
- "X_c > Au_eff"
- "cause obscured"
- "responsibility diffused"
core_distinctions:
- "Causal Traceability is not blame."
- "Causal Traceability is not surveillance."
- "Causal Traceability is not documentation."
- "Causal Traceability is not certainty."