University of Michigan - Ann Arbor

The validity and transferability of harness scaling are evaluated across three progressively demanding empirical criteria:

1. **Fixed-model improvement**: Verifying whether an improved harness increases completion rates for a fixed model without modifying its model weights.
2. **Cross-generation or cross-model transfer**: Determining whether an external control profile developed on one model transfers successfully to a newer model or different architecture without retuning.
3. **Out-of-distribution task generalization**: Assessing whether the resulting runtime control principles generalize and improve performance beyond the specific benchmark on which they were engineered.

Empirical Tests of Harness Scaling

Match each empirical evaluation standard of harness scaling to the core condition it tests.

Order the empirical criteria of harness scaling from the least demanding to the most demanding evaluation standard.

Analyze the experimental results against the empirical criteria of harness scaling. Identify which two criteria the team successfully validated and which criterion they failed to validate.

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