Verify Verification Surface Canonical What verification means in this program, and why it is not the same across all layers of the work.
Verification SurfaceCanonical

Verification Framework

What verification means in this program, and why it is not the same across all layers of the work.

Public
Many modes
Formal proof, bridge adequacy, empirical accountability, and interpretive coherence are separate burdens.
Shared discipline
Every mode still requires explicitness, traceability, consistency, inspectability, and accountability.
Layer-aware
Mathematics, physics, life, and metaphysics require different validation standards.
In plain language

'Verified' means different things in different domains. A formal theorem may be checked by a machine proof where formalized. A physical prediction requires a measurement bridge and empirical accountability. A biological claim requires structural, comparative, observational, or experimental support. A metaphysical claim requires explicit epistemic posture, conceptual coherence, phenomenological adequacy where relevant, and disclosed commitment boundaries. This framework page names those four verification modes, explains why the program refuses to collapse them into a single criterion, and lays out the shared discipline (explicitness, traceability, derivability, semantic earnedness, domain-appropriate validation) that holds the whole structure together.

What Verification Means Here

This program does not flatten verification into a single notion of proof. A Lean theorem, a bridge statement, a numerical prediction, a life-science explanation, and a metaphysical analysis do not carry the same evidential burden.

Shared Verification Principles

  • Explicitness: the claim and its scope must be named.
  • Traceability: the reader should be able to move from result to Corpus support and, where available, TauLib support.
  • Consistency: public pages, manifests, and generated artifacts should not silently disagree.
  • Derivability: formal and mathematical claims must expose their derivation burden.
  • Inspectability: critical artifacts should be public and stable enough to audit.
  • Accountability: standards and failure modes must be stated before the result is defended.
  • Domain-appropriate validation: physics, life, and metaphysics cannot be verified by proof syntax alone.
  • Semantic earnedness: the terms used in a verification claim must be earned or explicitly bridged through Core Semantics.

Why Verification Differs by Layer

Mathematics Formal consistency, mechanized proofs, standard-foundation robustness, and bridge adequacy. Physics Structural derivation, empirical fit, prediction timing, falsification, and measurement bridges. Life Explanatory adequacy, biological constraints, structural necessity, and scope discipline. Metaphysics Ontological coherence, phenomenological adequacy, boundary conditions, and explicit commitment limits.

Verification Stack Preview

Verification then routes into six concrete surfaces:

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