Integrity report for Learning Long Range Spatio-Temporal Representations over Continuous Time Dynamic Graphs with State Space Models

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

arXiv:2606.04672 · pith:2026:XB7YL3XQFD2KYZZAO5QFPNZ3WU

0Critical

0Advisory

5Detectors 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 21:09:33.990755+00:00

citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-04 13:51:07.771847+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-04 09:27:21.565029+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-06-04 02:08:44.072445+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-04 01:35:37.520836+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/XB7YL3XQ/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.