Integrity report for Text-to-SPARQL Generation with Reinforcement Learning: A GRPO-based Approach on DBLP

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

arXiv:2605.20066 · pith:2026:SQ7R35T37YZJAPKD5KCC5EFGOW

0Critical

2Advisory

8Detectors run

2026-05-20Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 13:50:03.936304+00:00

external_links completed v1.0.0 · findings 0 · 2026-05-20 11:32:23.167986+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 05:50:11.572277+00:00

doi_compliance completed v1.0.0 · findings 2 · 2026-05-20 05:38:50.509828+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 05:31:22.322660+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 03:53:27.190154+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:27.834948+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 02:21:59.960225+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/SQ7R35T3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.