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Integrity report for In-Depth and In-Breadth: Pre-training Multimodal Language Models Customized for Comprehensive Chart Understanding

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

arXiv:2507.14298 · pith:2025:7RDJPR7YZTBVEGNZLKVXEJRJZX

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Paper page arXiv integrity.json bundle.json

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Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/7RDJPR7Y/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.