IndisputableMonolith.URCAdapters.Audit
This module supplies pure formatting and reporting utilities for URC audit outputs, including rational-to-decimal conversion, JSON escaping, and top-level audit report generation. It depends only on the numeric helpers in URCGenerators.Numeric and exposes sibling definitions such as ratToDecimal, auditItems, audit_json_report and runAudit. Working physicists or mathematicians auditing Recognition Science constants would invoke runAudit to obtain machine-readable verification reports. The module consists entirely of definitions with no theorems.
claimThe module defines ratToDecimal : ℚ → ℕ → String that renders q = n/m to a fixed d-decimal string, together with supporting functions pow10, padLeftZeros, escape, quote, boolToJson, alphaInvValue, auditItems, cosmologyItems, audit_json_report and runAudit.
background
The module imports Mathlib for basic types and IndisputableMonolith.URCGenerators.Numeric, whose doc-comment states it supplies 'Minimal numeric helpers for rational formatting (pure, computable)'. It introduces concrete definitions for AuditItem records, decimal padding, rational rendering (explicitly 'Render a rational q = n / m to a fixed d-decimal string'), JSON string escaping, and two top-level report generators: audit_json_report and runAudit. These sit inside the URCAdapters domain whose purpose is to produce machine-readable audit artifacts for Recognition Science constants.
proof idea
this is a definition module, no proofs
why it matters in Recognition Science
The module closes the numeric-to-report pipeline inside URCAdapters, feeding auditItems and cosmologyItems into audit_json_report and runAudit. These artifacts are the final consumable outputs used to verify constants such as alpha inverse value against the Recognition Science phi-ladder and alpha band. No downstream theorems are recorded, indicating the module terminates the adapter layer.
scope and limits
- Does not contain any theorems or proofs.
- Does not perform floating-point arithmetic or physical simulations.
- Does not import or reference the core Recognition Science forcing chain or J-cost definitions.
- Does not guarantee numerical accuracy beyond exact rational formatting.