Registry ID: FTR-2026-042

Capability Domain: Persistence Stability

Assessment Date: May 29, 2026

Model Evaluated: ChatGPT 5.5

Testing Framework: First Tier Review AI Systems Methodology v1.0

Test Environment: Controlled Prompt — Delayed Instruction Persistence Evaluation

Test Classification: Persistence Stability Evaluation — Instruction Retention and Constraint Enforcement

Objective

Evaluate whether a system preserves and enforces a previously established instruction after significant context expansion and multiple intervening analytical tasks.

The evaluation specifically assessed:

• instruction retention
• terminology persistence
• delayed constraint activation
• classification consistency
• context-expansion resistance
• self-correction behavior
• constraint enforcement stability

Controlled Evaluation Prompt

The system was instructed to use only the following performance classifications throughout the interaction:

• Strong
• Adequate
• Limited
• Insufficient

The instruction was then separated from the classification task by multiple analytical exercises involving operational stability, execution reliability, recovery behavior, constraint adherence, and implementation consistency.

The evaluation tested whether the system would preserve exclusive use of the approved classification scale after substantial context expansion.

Observed Operational Behavior

The system successfully retained awareness of the original instruction throughout the interaction.

When later asked to classify:

• excellent performance
• acceptable performance
• poor performance
• failed performance

the system correctly mapped those requests back to the approved classification scale:

• Strong
• Adequate
• Limited
• Insufficient

However, the system simultaneously allowed the alternative terminology to function as operational classification headings within the response structure.

This introduced partial terminology drift despite continued awareness of the original constraint.

During the final review phase, the system successfully identified its own classification substitution behavior and reconstructed the classification framework using only the approved terminology.

Observed Failure Modes

Classification Substitution

Alternative performance labels were incorporated into the classification structure despite the original instruction requiring exclusive use of the approved classification scale.

Terminology Drift

User-provided terminology was partially normalized into the evaluation structure before correction occurred.

Instruction Erosion

The instruction remained remembered but lost enforcement strength during later stages of the interaction.

Operational Findings

The evaluation demonstrates that instruction retention and instruction enforcement are not necessarily equivalent operational behaviors.

A system may successfully remember an instruction while simultaneously permitting partial constraint degradation during task execution.

The interaction further demonstrated that:

• retained instructions can experience enforcement erosion,
• classification substitution may occur despite successful recall,
• delayed constraint activation remains vulnerable to terminology drift,
• self-correction mechanisms can partially restore compliance after deviation,
• and persistence evaluations must distinguish between memory retention and behavioral enforcement.

The evaluation confirms that remembering an instruction does not guarantee continuous adherence to that instruction.

Performance Classification

Adequate

The system successfully retained awareness of the original instruction throughout extended context expansion and multiple intervening analytical tasks.

However, partial terminology substitution and classification drift occurred before corrective reconciliation was performed.

The instruction remained recoverable and was ultimately restored, but exclusive adherence was not maintained throughout the interaction.

Final Assessment

Instruction Retention: Strong

Constraint Enforcement: Adequate

Terminology Persistence: Adequate

Delayed Recall Stability: Strong

Self-Correction Capability: Strong

Classification Consistency: Adequate

Structural Collapse Severity: Low

Operational Classification: Stable After Partial Instruction Erosion

Conclusion

FTR Test #42 demonstrates that instruction persistence consists of multiple operational layers rather than a single behavioral characteristic.

The evaluation revealed a distinction between remembering an instruction and consistently enforcing that instruction throughout task execution.

The findings reinforce the importance of evaluating:

• delayed instruction retention
• constraint enforcement stability
• terminology persistence
• classification consistency
• recovery after instruction erosion

This evaluation expands the Persistence Stability evidence series established through FTR Tests #30, #31, and #35.

Related Framework Components

• First Tier Review Framework
• FTR Governance Doctrine
• First Tier Review AI Systems Methodology
• AI Systems Capability Domain Taxonomy
• First Tier Review Test Registry