Integrity report for Continual Learning in Modern Hopfield Networks with an Application to Diffusion Models

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

arXiv:2605.27975 · pith:2026:LS7VTBTJW5FXIJIGIVLGZCV4RA

0Critical

0Advisory

5Detectors run

2026-06-01Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 13:07:21.381719+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-28 21:50:28.974211+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-28 15:24:01.809622+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 02:04:41.922444+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-28 01:34:19.060479+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/LS7VTBTJ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.