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Integrity report for LLMSurgeon: Diagnosing Data Mixture of 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:2605.30348 · pith:2026:BVNT5NGGPYUHWGBJTBBIZ4SY2Z

0Critical
0Advisory
6Detectors run
2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-05 03:35:49.975524+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-03 11:48:24.142896+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-31 23:31:47.529273+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-31 03:50:41.138267+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-29 05:50:03.440159+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-29 02:24:14.826305+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BVNT5NGGPYUHWGBJTBBIZ4SY2Z/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.