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Integrity report for JanusPipe: Efficient Pipeline Parallel Training for Machine Learning Interatomic Potentials

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

arXiv:2605.18404 · pith:2026:USNR7PI7ZDEQNRM6DFJQ3IZ4SX

0Critical
0Advisory
10Detectors run
2026-05-22Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 23:15:09.916402+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-22 23:02:58.124717+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 23:02:03.579832+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-20 00:01:20.325798+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-19 23:52:09.926291+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-19 23:51:43.418457+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-19 23:50:02.474945+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 23:33:29.268841+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-19 23:31:39.789069+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-19 23:21:58.715676+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/USNR7PI7/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.