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Integrity report for Synthetic Pre-Pre-Training Improves Language Model Robustness to Noisy Pre-Training Data

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

arXiv:2605.10129

0Critical
0Advisory
4Detectors run
2026-05-20Last checked

Paper page arXiv integrity.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-20 06:22:00.985226+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-19 15:40:09.584526+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-19 12:01:17.651346+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 09:39:03.177134+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/2605.10129/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.