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Integrity report for Understanding Data Temporality Impact on Large Language Models Pre-training

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

arXiv:2605.22769 · pith:2026:JYY7QQ5JLHAXTAUYPTOZDKMXLW

6Critical
30Advisory
11Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 16:24:10.878730+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 16:22:20.490891+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 16:03:00.066802+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 06:02:40.327292+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 05:50:05.841513+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-25 03:43:40.420797+00:00
external_links completed v1.0.0 · findings 6 · 2026-05-24 17:34:34.448962+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 07:51:36.529834+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 09:50:17.639207+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 02:52:33.469328+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-22 02:33:37.926908+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JYY7QQ5J/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.