Methodology
Validation
Deterministic behavioral evidence overview.
What validation is
- Checks reproducibility of measurement outputs
- Verifies stability across repeated benchmark runs
- Confirms aggregate-level statistical reliability
- Validates that drift signals are deterministic, not noise
What validation is not
- Does not include public prompt-level attribution
- Does not expose private implementation internals
- Does not guarantee future model behavior
- Does not replace domain-specific evaluation