An engineering team develops an execution harness that significantly improves task performance on a specific model. Next, without modifying or retuning any control logic, they apply that exact harness to the provider's newly released successor model to evaluate whether the performance benefits persist. Which empirical test of harness scaling is being conducted?

Demonstrating Fixed-Model Improvement (Within-Model Lift) requires modifying or fine-tuning the model's underlying weights to support the new execution harness.

What does the Beyond-Benchmark Generalization (Held-Out Task Generalization) test assess in harness scaling evaluations?

Explain the overarching objective of harness scaling and discuss how the three empirical evaluations build upon one another as progressively stronger tests of external execution controls.

Match each empirical test alias to the evaluation condition it represents in harness scaling.

Fixed-Model Improvement evaluates harness performance gains on an existing model without modifying its underlying ___.

Order the three empirical tests of harness scaling from the initial baseline evaluation to the progressively strongest evaluation.

Explain why the engineer's modifications invalidate the evaluation as a test of Cross-Generation Transfer (Frozen Transfer), and describe the protocol required to properly conduct this test.