Clause 7, Statistical measures of robust behaviour
The public titles name five measure families beside the general clause: performance drops, the system's response to a targeted perturbation, separability metrics, statistical reliability engineering, and curvature analysis. The body text is withheld. A buyer can use the titles to choose a family and to check that the claim matches the measure.
The requirement in plain English
The public titles name five measure families beside the general clause: performance drops, the system's response to a targeted perturbation, separability metrics, statistical reliability engineering, and curvature analysis. The body text is withheld. A buyer can use the titles to choose a family and to check that the claim matches the measure.
What the public record says
The public table of contents lists clause 7 and subclauses 7.1 General, 7.2 Robustness assessment based on performance drops, 7.3 Targeted assessment of the system's response to a perturbation, 7.4 Assessment through separability metrics, 7.5 Assessment through statistical reliability engineering and 7.6 Robustness assessment through curvature analysis. The body text is not public.
| Subclause | Public title | Body |
|---|---|---|
| 7 | Statistical measures of robust behaviour | Withheld |
| 7.1 | General | Withheld |
| 7.2 | Robustness assessment based on performance drops | Withheld |
| 7.3 | Targeted assessment of the system's response to a perturbation | Withheld |
| 7.4 | Assessment through separability metrics | Withheld |
| 7.5 | Assessment through statistical reliability engineering | Withheld |
| 7.6 | Robustness assessment through curvature analysis | Withheld |
Why it matters to you
Five families produce five different kinds of evidence. A performance drop is a before-and-after comparison and needs a clean baseline. A targeted perturbation asks how the system responds to one named change. A separability metric concerns how well classes or states remain distinct. Reliability engineering brings a failure and lifetime vocabulary. Curvature analysis is a geometric property of the model surface. A pack that reports a performance drop and calls it a robustness guarantee has crossed families without saying so. Naming the family is the cheapest defence against that.
Evidence a reviewer asks for
- The measure selection note, naming the family and the reason it fits the claim.
- The metric definition and the clean baseline.
- The result with its uncertainty and the sample it came from.
- The claim the measure can and cannot support.
- The reviewer sign-off on the match between measure and claim.
Checks to run this month
- Which of the five families does the result come from?
- Does the claim use a word from a different family?
- Is the baseline measured on the same data and metric?
Dates
FDIS registered 2026-08-21. The clause body is not public.
Cross-references
What this page does not state
The body text of clause 7 and its six subclauses is not public.