Structural Stability & Drift Audit
SSDA
The SSDA determines whether a system is structurally stable, marginally stable, drifting, locked,
or operating outside valid learning regimes. The audit is diagnostic-only and uses behavioural evidence only.
Output
- Regime classification and confidence notes
- Invalid assumptions (what breaks, when, and why)
- What cannot be safely inferred under the current system–environment coupling
- Boundaries around safe reasoning and evaluation
No fixes are prescribed. No tuning advice. No roadmap. The report is designed to be an epistemic boundary document.
Evidence intake (A–D)
- A. Decision trace data: time-ordered records of decisions or outputs
- B. Outcome / feedback signals: observed consequences, delays, missingness
- C. Intervention & change logs: human/system changes over time
- D. Contextual metadata: lightweight environment descriptors to test behavioural tracking
Explicit exclusions
- No model internals (weights, activations, prompts, hidden state)
- No source code review
- No training data access
- No proprietary features or internal schemas required
Requests for internals are treated as diagnostically meaningful, but they are not required for engagement.
Engagement shape
- Short, bounded engagement with clear entry and exit
- Evidence acceptance is the core intake philosophy
- Invariant Systems retains epistemic authority over the diagnosis