Integrity report for FFR: Forward-Forward Learning for Regression

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

arXiv:2606.03927 · pith:2026:6D6427PIBLHGTS3PO4ZIIHKKOX

0Critical

0Advisory

6Detectors run

2026-06-05Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-06-05 04:49:15.671054+00:00

external_links completed v1.0.0 · findings 0 · 2026-06-03 17:32:07.951223+00:00

shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-03 09:50:29.375104+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-03 03:51:00.601907+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-03 03:26:36.631424+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 02:35:24.298892+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/6D6427PIBLHGTS3PO4ZIIHKKOX/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.