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module module high

IndisputableMonolith.Foundation.OptionAFalsifierRegistry

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This module enumerates the implemented Option A combinations C1-C9 as the falsifier registry in Recognition Science. Researchers testing empirical coverage of the framework cite it to confirm no theorem lacks a protocol. It is a definition module consisting of enumerations and type aliases only.

claimThe Option A falsifier registry consists of the implemented combinations \(C_1,\dots,C_9\) (with \(C_{10}\) retained only as commentary).

background

The Foundation layer of Recognition Science defines Option A as a class of theorems requiring empirical falsification protocols. This module introduces the supporting types: CombinationID for labeling the nine active cases, together with TestClass, EmpiricalStatus, DatasetClass, PredictedObservable and FailureMode. These types map each combination to the metadata needed for dataset, observable and failure-mode declarations. The module imports only Mathlib and contains no theorems.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The registry is consumed by OptionAEmpiricalProtocol, whose doc-comment states that it turns the registry into a Lean proposition asserting total coverage: every implemented C1-C9 combination has a dataset class, predicted observable, and failure mode. This step closes the empirical loop for Option A within the Recognition Science forcing chain.

scope and limits

used by (1)

From the project-wide theorem graph. These declarations reference this one in their body.

declarations in this module (35)