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Integrity report for Position: The Pre/Post-Training Boundary Should Govern IP in Industry-Academia ML Collaborations

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

arXiv:2605.22632 · pith:2026:NNMKNSGRLUVYR4XPMYSUHGZVP7

0Critical
0Advisory
8Detectors run
2026-05-29Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-29 05:17:57.653222+00:00
ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-29 04:37:11.270921+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-29 04:33:46.723245+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-27 10:44:25.536729+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-24 23:36:28.064384+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-24 11:50:29.405697+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-22 17:50:35.586502+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-22 05:22:42.142266+00:00

Findings

No public integrity findings for this paper.

Signed record

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