Disagreement Preservation and Rejection Evidence in Local Global Knowledge Reconciliation

MTRL specifies a local-global knowledge reconciliation protocol that preserves unresolved disagreements and returns typed, provenance-bearing rejection evidence for global revision. It separates retention of a disputed claim from permission to use that claim. The analysis distinguishes delayed-feedback stability from marked-error reproduction, including a conditional scalar stability boundary and an exact one-generation count decomposition. Rejection is informative only under suitable relevance and error conditions. The proposed contribution is an application protocol and comparisons against alternatives using conflict-preservation and rejection-feedback ablations. Small executable diagnostics check mathematical boundaries and measurement failures; the five deployment predictions and practical superiority remain unvalidated.

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Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2026-09-10
DOI
https://doi.org/10.5281/zenodo.22682816
Primary Topic
Scientific Computing and Data Management
Type
article
Field-Weighted Citation Impact
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article

Disagreement Preservation and Rejection Evidence in Local Global Knowledge Reconciliation

Bin Seol
Zenodo (CERN European Organization for Nuclear Research)
Scientific Computing and Data Management
article

Disagreement Preservation and Rejection Evidence in Local Global Knowledge Reconciliation

Bin Seol
article en

Abstract

MTRL specifies a local-global knowledge reconciliation protocol that preserves unresolved disagreements and returns typed, provenance-bearing rejection evidence for global revision. It separates retention of a disputed claim from permission to use that claim. The analysis distinguishes delayed-feedback stability from marked-error reproduction, including a conditional scalar stability boundary and an exact one-generation count decomposition. Rejection is informative only under suitable relevance and error conditions. The proposed contribution is an application protocol and comparisons against alternatives using conflict-preservation and rejection-feedback ablations. Small executable diagnostics check mathematical boundaries and measurement failures; the five deployment predictions and practical superiority remain unvalidated.

Zenodo (CERN European Organization for Nuclear Research)
Reduced inequalities
Openalex Percentile: Top 4%
Scientific Computing and Data Management
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