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Integrity report for Divide-and-Conquer Inference for Large-Scale Visual Recognition with Multimodal Large 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:2605.24799 · pith:2026:YYQ4HBU5SYM6CUFD24AHT6YOU4

0Critical
0Advisory
3Detectors run
2026-05-28Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

claim_evidence completed v1.0.0 · findings 0 · 2026-05-28 08:44:47.709265+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-26 22:53:33.863733+00:00
ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-26 01:34:04.192462+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/YYQ4HBU5SYM6CUFD24AHT6YOU4/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.