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Software . 2026
License: http://www.apache.org/licenses/LICENSE-2.0
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ZENODO
Software . 2026
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
ZENODO
Software . 2026
License: http://www.apache.org/licenses/LICENSE-2.0
Data sources: Datacite
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RDCbum/RH_demo: ERURH v1.0.1-preprint — clean archival release

integration_instructionsResearch softwarekeyboard_double_arrow_right Software 05 Feb 2026Publisher:Zenodo
Authors: RDCbum;
Code repository: https://github.com/RDCbum/RH_demo/tree/v1.0.1-preprint

doi: 10.5281/zenodo.18497033 , 10.5281/zenodo.18010407

RDCbum/RH_demo: ERURH v1.0.1-preprint — clean archival release

Abstract

This deposit presents a machine-checked (Lean) conditional reduction of the Riemann Hypothesis. The work formalizes a verified implicationERURH_GlobalAssumptions → RiemannHypothesis,where all logical steps are mechanically checked in Lean. The remaining analytic input is isolated into a finite, explicit set of assumptions (Theorems A, B, C and normalization bridges), each prepared for independent external audit. No unconditional claim of the Riemann Hypothesis is made. The accompanying GitHub repository provides the full Lean formalization together with a deterministic pipeline to regenerate and verify all referenced numerical certificates.

Keywords

Analytic Number Theory, Formalized Mathematics, Conditional Proof, Reproducible Research, Riemann Hypothesis, Formal Verification, Lean proof assistant

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
0
Average
Average
Average