Integrity report for A Generative Adversarial Graph Neural Network for Synthetic Time Series Data

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

arXiv:2605.22215 · pith:2026:PWCLHH44IBCLFNTZGSNV6ODUPS

0Critical

0Advisory

7Detectors run

2026-05-31Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-31 04:01:08.443843+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-31 03:04:19.262664+00:00

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 05:36:50.276377+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 13:04:28.353655+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 19:51:06.868686+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-24 01:49:59.429112+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 11:22:33.958032+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/PWCLHH44IBCLFNTZGSNV6ODUPS/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.