External Anchors: CODATA Bridges
Empirical SI/CODATA anchors that the RS predictions are compared against
Empirical SI/CODATA anchors that the RS predictions are compared against. **EXTERNAL ANCHOR**: Inverse fine structure constant (CODATA 2022). α⁻¹ = 137.035999177(21).
Equations
[ J(x)=\frac12(x+x^{-1})-1,\qquad \varphi^2=\varphi+1 ]
Shared constant-forcing backbone.
Derivation chain (Lean anchors)
Each row links to the corresponding Lean 4 declaration in the Recognition Science canon. A resolved anchor has a green check; an unresolved anchor flags a registry/canon mismatch.
-
1 alpha^{-1} CODATA def checked
IndisputableMonolith.Constants.ExternalAnchors.alpha_inv_CODATAOpen theorem → -
2 alpha^{-1} bounds def checked
IndisputableMonolith.Constants.ExternalAnchors.alpha_inv_boundsOpen theorem → -
3 Mass ratio bounds def checked
IndisputableMonolith.Constants.ExternalAnchors.mass_ratio_boundsOpen theorem → -
4 Empirical anchors structure def checked
IndisputableMonolith.Constants.ExternalAnchors.empiricalAnchorsOpen theorem →
Narrative
1. Setting
External Anchors: CODATA Bridges is anchored in Constants.ExternalAnchors. The page is not a loose explainer: it is a public map from the Recognition Science forcing chain into one Lean-checked declaration bundle. The primary anchor determines what is proved, and the surrounding declarations show how the result is used.
2. Equations
(E1)
$$ J(x)=\frac12(x+x^{-1})-1,\qquad \varphi^2=\varphi+1 $$
Shared constant-forcing backbone.
3. Prediction or structural target
- Structural target:
Constants.ExternalAnchorsmust keep resolving in the Lean canon, and all downstream pages that cite this anchor must continue to type-check.
This page is currently a structural derivation. Where the claim has direct empirical content, the prediction table gives the measurable target; otherwise the claim is a formal bridge inside the Lean canon.
4. Formal anchor
The primary anchor is Constants.ExternalAnchors..alpha_inv_CODATA.
α⁻¹ = 137.035999177(21) -/
@[simp]
noncomputable def alpha_inv_CODATA : ℝ := 137.035999177
/-- **EXTERNAL ANCHOR**: α⁻¹ uncertainty (1σ). -/
noncomputable def alpha_inv_CODATA_uncertainty : ℝ := 0.000000021
/-- **EXTERNAL ANCHOR**: α⁻¹ empirical bounds (±3σ). -/
structure AlphaInvBounds where
lower : ℝ := 137.035999114 -- -3σ
5. What is inside the Lean module
Key theorems:
c_SI_poshbar_SI_posG_SI_posalpha_inv_CODATA_poselectron_mass_MeV_posmuon_mass_MeV_posproton_mass_MeV_pos
Key definitions:
c_SIhbar_SIh_SIe_SIkB_SINA_SIG_SIG_SI_uncertainty
6. Derivation chain
alpha_inv_CODATA- alpha^{-1} CODATAalpha_inv_bounds- alpha^{-1} boundsmass_ratio_bounds- Mass ratio boundsempiricalAnchors- Empirical anchors structure
7. Falsifier
A precision measurement outside the stated RS interval, after checking SI calibration and systematic error, refutes this constant-level derivation.
8. Where this derivation stops
Below this page the chain reduces to the RS forcing sequence: J-cost uniqueness, phi forcing, the eight-tick cycle, and the D=3 recognition substrate. If any upstream theorem changes, this page must be versioned rather than patched silently. The published URL is stable, but the version field is the contract.
10. Audit path
To audit external-anchors-codata, start with the primary Lean anchor Constants.ExternalAnchors.alpha_inv_CODATA. Then inspect the theorem names listed in the module-content section. The page is intentionally built so the public explanation is not a substitute for the proof object; it is a map into it. The mathematical dependency is the same in every case: reciprocal cost fixes J, J fixes the phi-ladder, the eight-tick cycle fixes the recognition clock, and the domain theorem listed above supplies the last step. If that last step is empirical, the falsifier section names what observation would break it. If that last step is formal, a Lean-checkable counterexample is the relevant failure mode.
11. Why this belongs in the derivations corpus
The corpus is organized around load-bearing consequences, not around file names. This entry is included because Constants.ExternalAnchors contributes a reusable theorem or definitional bridge that other pages can cite. Keeping the page public gives readers a stable URL, a JSON record, and a direct path into the Lean theorem page. If the entry becomes redundant with a stronger derivation later, the current slug should be retired rather than silently rewritten; the replacement should absorb its anchors and preserve the audit history.
Falsifier
A precision measurement outside the stated RS interval, after checking SI calibration and systematic error, refutes this constant-level derivation.
References
-
lean
Recognition Science Lean library (IndisputableMonolith)
https://github.com/jonwashburn/shape-of-logic
Public Lean 4 canon used by Pith theorem pages. -
paper
Uniqueness of the Canonical Reciprocal Cost
Peer-reviewed paper anchoring the J-cost uniqueness theorem. -
spec
Recognition Science Full Theory Specification
https://recognitionphysics.org
High-level theory specification and public program context for Recognition Science derivations.
How to cite this derivation
- Stable URL:
https://pith.science/derivations/external-anchors-codata - Version: 5
- Published: 2026-05-14
- Updated: 2026-05-15
- JSON:
https://pith.science/derivations/external-anchors-codata.json - YAML source:
pith/derivations/registry/bulk/external-anchors-codata.yaml
@misc{pith-external-anchors-codata,
title = "External Anchors: CODATA Bridges",
author = "Recognition Physics Institute",
year = "2026",
url = "https://pith.science/derivations/external-anchors-codata",
note = "Pith Derivations, version 5"
}