Recognises circular derivation rules
Derivation rules whose inputs depend, through other derivations, on their own output. Each rule reads sensibly on its own.
Can AI do this?
AI does this well Most of the tested AI models master this. 7 of 10 models master it.
| Model | Tier | Probability of mastery | Status |
|---|---|---|---|
| gemini-4-argon | Flagship | 100% | Mastered |
| gemini-3.1-pro-preview | Flagship | 5% | Not shown |
| gpt-6-astra | Flagship | 100% | Mastered |
| claude-fable-5-1 | Flagship | 100% | Mastered |
| gemini-3.8-flash | Mid tier | 100% | Mastered |
| gpt-6.1-sol | Mid tier | 100% | Mastered |
| claude-sonnet-5-5 | Mid tier | 100% | Mastered |
| gemini-3.5-flash-lite | Low cost | 0% | Not shown |
| gpt-6-luna | Low cost | 82% | Not shown |
| claude-haiku-5-5 | Low cost | 100% | Mastered |
Mastered means a probability of at least 90% that the model has this knobit, estimated from its graded answers. “Not shown” means the answers do not settle it either way. How the models are tested.
What it looks like in practice
Expected result: The derivation loop and the base value to keep
How it is assessed: Flags the deficient case and passes the acceptable one. Deficient: available balance = ledger balance − holds; ledger balance = available balance + holds Acceptable: One derivation with a stored base: available balance = ledger balance − holds, with the ledger balance and the holds both captured (ANO-004)
Also known as: Circular derivation (data rule)
Related knobits
Builds on
All 28 knobits of Document data rules as SBVR fact types and rule statements.
Source: Review checklist 03-data-rules, row 6