PAT-0350 - Persistence Instability
A structural condition where persisted state cannot be stored and restored into an equivalent structure without alteration.
Primary Lenses
- LEN-0280 - Reference Stability Lens
Evaluates whether structural references, identifiers, nodes, and edges remain consistent across execution cycles or comparable states.
Secondary Lenses
- LEN-0180 - Determinism Lens
Evaluates whether identical structural inputs produce equivalent structural outputs across repeated executions.
Primary Issue Matches
- AI Forgets Earlier Constraints
A constraint, instruction, preference, or decision that should persist through the task stops affecting later output.
- Saved Memory Not Used
A saved memory, preference, instruction, or durable context item exists but does not affect the AI output when it should.
- Task Progress Is Lost Midway
The AI loses track of completed work, prior decisions, current position, or remaining steps before the task is finished.
Supporting Issue Matches
- AI Memory Has No Governance
Saved or persistent AI memory affects output without clear rules for ownership, scope, review, update, expiry, or removal.
- AI Memory Updated Without Asking
AI memory, saved context, preference, or durable state is updated without the user clearly asking for or approving that update.
- Context Changes After Restore
Restoring, reopening, resuming, or reloading a task changes the context that the AI uses to continue the work.
- Context Leaks Between Tasks
Context, assumptions, constraints, examples, files, or decisions from one task affect another task where they should not apply.
- Old Output Expectations Survive Migration
Expectations from a prior model, prompt, schema, tool, or workflow survive a migration and continue shaping review or downstream handling after they should be replaced.
- Policy Update Not Reflected in Output
A policy, rule, standard, or instruction has been updated, but the AI output still follows the older version.
- Revoked Approval Still Treated as Active
An approval, permission, exception, or authorization that was revoked continues to affect AI behavior or workflow decisions as if it were still active.
- Rubric Changed but Results Did Not
A review rubric, scoring rule, evaluation standard, or classification criterion changes, but AI results continue to reflect the old rubric.
- Stale Context Affects Output
Old context, prior instructions, outdated references, or earlier task state continue to affect output after they should no longer apply.
Ontology Metadata
- Code
PAT-0350- Version
PAT-0350@0.1.0- Ontology release
- 0.1.0
- Updated
- 2026-05-10T00:00:00Z
History
-
0.1.0 — 2026-05-10T00:00:00Z — Created
Promoted reviewed Pattern ontology entry: Persistence Instability.
Receipt impact: None