pith. sign in

Integrity report for Exploring deep learning for Event-Based Saliency Prediction with a Transformer-based model

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

arXiv:2605.23790 · pith:2026:3V535LXQLHELFF2PLFFITSLCZS

0Critical
0Advisory
8Detectors run
2026-05-26Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-26 04:32:52.640100+00:00
doi_compliance completed v1.0.0 · findings 0 · 2026-05-26 04:31:50.235349+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-05-26 04:24:01.726791+00:00
external_links completed v1.0.0 · findings 0 · 2026-05-25 23:32:08.721035+00:00
shingle_duplication completed v0.1.0 · findings 0 · 2026-05-25 13:50:28.945201+00:00
citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-25 05:51:03.719376+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-25 03:55:09.525166+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-25 02:34:33.972910+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/3V535LXQ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.