Integrity report for PlanningBench: Generating Scalable and Verifiable Planning Data for Evaluating and Training Large Language Models

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

arXiv:2605.20873 · pith:2026:2D6XPZMKGDTGFDUOJZA25J3EZ4

0Critical

0Advisory

6Detectors run

2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 05:10:50.228914+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 05:01:50.465970+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 04:22:41.435931+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-21 15:50:48.805043+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-21 11:23:44.012076+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-21 01:34:01.678522+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2D6XPZMK/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.