Rule Model Foundations

Condition Row Model

A stated prose condition becomes a prong row in a model trace. Honesty note: simplified toy rule-modeling workflow, corpus-light with no neochart dependency; the pinned first step carries the full honesty note.

highlighted = computed this step

Rule model honesty note

Honesty note: simplified toy rule-modeling workflow; corpus-light and no neochart dependency; jurisdictions and interpretations vary; as of June 24, 2026; not legal advice; code encodes a stated interpretation workflow, not the law itself.

rule model as of June24,2026\text{rule model as of }June 24, 2026

Convert conditions to prong rows

The stated process extracts age, residency, and filing-date conditions from the prose source into separate prong rows.

one condition per row\text{one condition per row}

Example condition packet

The toy age fact is 18. The threshold is modeled as greater than 17.

age>17\text{age}>17

The trace recomputes prong status

The compiled trace has 3 prong rows and 3 condition-satisfied rows.

prong rows=3,condition satisfied rows=3\text{prong rows}=3,\quad \text{condition satisfied rows}=3

Diagram note

The diagram is a prong trace. It shows model row status for review only.

prong trace only\text{prong trace only}

Jurisdiction: US; as of 2026-06-24; not legal advice; Code encodes a stated interpretation workflow, not the law itself.

Condition row model age_minimum: satisfied via age_years=18 compare=17 residency_scope: satisfied via residency_scope=True compare=True filed_by_date: satisfied via filed_by_date=True compare=True

Summary

Condition rows are reviewable when each prose phrase maps to an explicit trace row.

phrases to rows\text{phrases to rows}