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Integrity report for Conflict-Free Replicated Data Types for Neural Network Model Merging: A Two-Layer Architecture Enabling CRDT-Compliant Model Merging Across 26 Strategies

A machine-verified record of the checks Pith has run against this paper: detector runs, findings, signed bundle events, and canonical identifiers.

arXiv:2605.19373 · pith:2026:CGLCQKAV7D25O7FPZCHNO5Z3NK

0Critical
0Advisory
5Detectors run
2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 06:46:15.232255+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 18:02:48.049143+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-24 16:42:26.408777+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 19:52:47.657496+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 10:22:47.367957+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/CGLCQKAV7D25O7FPZCHNO5Z3NK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.