Integrity report for Towards Fine-Grained Robustness: Attention-Guided Test-Time Prompt Tuning for 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:2605.19956 · pith:2026:FDZWHDXGOITF4NBPZGAB7UNL2I

0Critical

0Advisory

7Detectors 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 07:01:38.613890+00:00

doi_compliance completed v1.0.0 · findings 0 · 2026-05-21 06:54:20.751828+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-21 03:22:20.442946+00:00

shingle_duplication completed v0.1.0 · findings 0 · 2026-05-20 21:50:18.473984+00:00

citation_quote_validity completed v0.1.0 · findings 0 · 2026-05-20 07:51:41.045752+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-20 05:53:02.124145+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-20 02:33:27.981007+00:00

Findings

No public integrity findings for this paper.

Signed record

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