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Integrity report for LL-Bench: Rethinking Low-Level Vision Evaluation in the Era of Large-Scale Generative Models

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

arXiv:2606.02535 · pith:2026:L57TNDPYIBG7OI43QACVXNHFEY

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 07:49:18.368281+00:00
external_links completed v1.0.0 · findings 0 · 2026-06-02 17:32:01.885353+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-06-02 05:50:17.328156+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-06-02 03:56:03.168416+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-06-02 03:50:50.801859+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-02 03:35:15.908515+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/L57TNDPYIBG7OI43QACVXNHFEY/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.