Skilirium

Recognises circular derivation rules

Q-206 · Skill knobit · Activity: Document data rules in SBVR · Competence: Data quality

Derivation rules whose inputs depend, through other derivations, on their own output. Each rule reads sensibly on its own.

Can AI do this?

People still lead Few or none of the tested AI models showed they master this. 0 of 4 models in the current benchmark master it.

ModelTierProbability of masteryStatus
gemini-4-argonFlagship 89%Not shown
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-liteLow cost 1%Not shown
gpt-6-lunaLow cost 89%Not shown
claude-haiku-5-5Low cost 89%Not shown

* From the earlier benchmark of 2026-10: 10 data-modelling test tasks, 3 runs per task, graded by claude-opus-5-5. These models have not taken the current 123 tasks yet; the two methods differ, so compare their figures with care. They are left out of the “most models” counts and the best-model picks.

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 23 knobits of Document data rules in SBVR.

Source: Review checklist 02-data-rules (data-quality), row 6; formerly data-modelling K-306