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Integrity report for GeoSVG-RL: Geometry-Aware Reinforcement Learning for Layout-Constrained Text-to-SVG Diagram Generation

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

arXiv:2605.25447 · pith:2026:HWPBFIVK3XHQD5QJ466ZPDFEXX

0Critical
0Advisory
4Detectors run
2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 06:44:46.386039+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-26 19:50:18.318642+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 13:23:27.684217+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 03:34:04.601904+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/HWPBFIVK3XHQD5QJ466ZPDFEXX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.