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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
2026-05-27Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact completed v1.0.0 · findings 0 · 2026-05-27 05:44:03.749658+00:00
doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-25 14:32:45.773600+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 14:28:31.823523+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 10:23:23.092800+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 05:22:55.780731+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/OFNTJFKIG6XUTEWYYMIXBIGZNC/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.