Integrity report for iGSP:Implicit Gradient Subspace Projection for Efficient Continual Learning of Vision-Language Models

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

arXiv:2605.19301 · pith:2026:BUI7VZF3BWPRUAWUBDKBZNE3Y3

0Critical

0Advisory

6Detectors run

2026-05-21Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-21 07:31:38.766340+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 07:24:15.493460+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 04:42:20.667423+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 21:50:44.344756+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 15:52:07.353581+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:36.650836+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/BUI7VZF3BWPRUAWUBDKBZNE3Y3/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.