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Integrity report for Spreadsheet-RL: Advancing Large Language Model Agents on Realistic Spreadsheet Tasks via Reinforcement Learning

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

arXiv:2605.22642 · pith:2026:WYLXQ47QUI7MQYR5SDD33HRVXP

0Critical
18Advisory
8Detectors 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 06:48:15.241209+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-31 06:04:22.764709+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-30 14:55:22.787358+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 04:37:07.441288+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 22:45:00.065574+00:00
external_links completed v1.0.0 · findings 3 · 2026-05-24 23:36:00.250310+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 11:50:24.015170+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 17:50:28.333510+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/WYLXQ47QUI7MQYR5SDD33HRVXP/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.