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Integrity report for Training data attribution in diffusion models via mirrored unlearning and noise-consistent skew

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

arXiv:2605.17938 · pith:2026:OFNTJFKIG6XUTEWYYMIXBIGZNC

0Critical
0Advisory
5Detectors run
2026-05-23Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-23 10:03:06.409353+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 05:22:55.780731+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-22 13:56:04.589356+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-22 13:31:56.799081+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 00:33:40.555054+00:00

Findings

No public integrity findings for this paper.

Signed record

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