IndisputableMonolith.Foundation.OptionAFalsifierRegistry
This module registers the implemented Option A combinations C1 through C9 as the core falsifier registry in the Recognition Science foundation. A researcher testing empirical coverage of Option A would cite it to confirm that each combination carries an associated dataset class, predicted observable, and failure mode. The structure leaves C10 as commentary only and supplies the metadata skeleton that downstream protocols consume. It is a pure definition module with no proofs.
claimRegistry of implemented Option A combinations $C_1$ to $C_9$, each equipped with a dataset class, predicted observable, and failure mode; $C_{10}$ retained solely as commentary.
background
Recognition Science derives physics from the forcing chain T0-T8, with Option A combinations arising as concrete instances of the J-cost and phi-ladder constructions. The module introduces the supporting types: CombinationID enumerates the nine implemented cases, TestClass and DatasetClass label the empirical probes, EmpiricalStatus tracks coverage, PredictedObservable names the measurable signature, and FailureMode specifies the falsifying observation. These definitions sit inside the Foundation layer and import only Mathlib, supplying the structural interface that converts theoretical combinations into falsifiable statements.
proof idea
This is a definition module, no proofs.
why it matters in Recognition Science
The module supplies the registry consumed by the Option A Empirical Protocol, which asserts total coverage: every implemented C1-C9 combination possesses a dataset class, predicted observable, and failure mode. It closes the formal loop from the unified forcing chain to empirical falsification, ensuring no implemented Option A result lacks a corresponding test protocol. The construction directly supports the framework's claim that the phi-ladder and mass formulas remain empirically accessible.
scope and limits
- Does not include C10 as an implemented formal combination.
- Does not embed actual empirical datasets or numerical data.
- Does not prove any theorems about the combinations themselves.
- Does not extend the registry beyond the nine listed cases.
used by (1)
declarations in this module (35)
-
inductive
CombinationID -
theorem
combinationID_count -
inductive
TestClass -
theorem
testClass_count -
inductive
EmpiricalStatus -
theorem
empiricalStatus_count -
inductive
DatasetClass -
theorem
datasetClass_count -
inductive
PredictedObservable -
theorem
predictedObservable_count -
inductive
FailureMode -
theorem
failureMode_count -
def
falsifierClass -
def
empiricalStatus -
def
datasetClass -
def
predictedObservable -
def
failureMode -
theorem
c1_falsifier -
theorem
c2_falsifier -
theorem
c3_falsifier -
theorem
c4_falsifier -
theorem
c5_falsifier -
theorem
c6_falsifier -
theorem
c7_falsifier -
theorem
c8_falsifier -
theorem
c9_falsifier -
theorem
c3_observable -
theorem
c5_failure -
theorem
c8_dataset -
theorem
falsifierClass_injective -
theorem
datasetClass_injective -
theorem
predictedObservable_injective -
theorem
failureMode_injective -
structure
FalsifierRegistryCert -
def
falsifierRegistryCert