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IndisputableMonolith.Foundation.OptionAEmpiricalPipeline

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OptionAEmpiricalPipeline supplies the full empirical execution record for an Option A combination. It converts the first-pass schedule into auditable deliverables via PipelineSpec and related definitions. Researchers validating Recognition Science predictions cite it for the structured pipeline layer. The module consists entirely of definitions and basic lemmas with no proofs.

claimThe empirical pipeline record for an Option A combination is given by the specification $PipelineSpec$ together with the function $pipelineSpec$ satisfying injectivity and equivalence, plus the list $firstPassPipelines$ of scheduled pipelines.

background

This module defines the structure for empirical execution records in Option A of the Recognition Science framework. It imports OptionAEmpiricalDeliverables, whose doc-comment states: 'Concrete artifacts expected from the Option A empirical action plan. This module turns the first-pass schedule into an auditable set of outputs.' The local setting is the foundation layer preparing combinations for empirical testing, with sibling definitions covering PipelineSpec, hasPipeline, and priority actions.

proof idea

This is a definition module, no proofs.

why it matters in Recognition Science

The module supplies the deliverable artifact layer required by the Option A Empirical Readiness gate. Downstream doc-comment states: 'A combination is ready when it has all four operational layers: falsifier protocol, analysis action, deliverable artifact.' It fills the concrete output step in the empirical pipeline, feeding directly into readiness checks.

scope and limits

used by (1)

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

depends on (1)

Lean names referenced from this declaration's body.

declarations in this module (18)