Integrity report for SGSoft: Learning Fused Semantic-Geometric Features for 3D Shape Correspondence via Template-Guided Soft Signals

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

arXiv:2605.18039 · pith:2026:JCVCGKNVR5T5BUFROB2AVQXGYG

0Critical

0Advisory

5Detectors run

2026-05-25Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

doi_compliance completed v1.0.0 · findings 0 · 2026-05-25 13:07:48.442938+00:00

doi_title_agreement completed v1.0.0 · findings 0 · 2026-05-24 12:02:31.631281+00:00

claim_evidence completed v1.0.0 · findings 0 · 2026-05-24 09:43:21.978983+00:00

cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-23 03:25:31.416707+00:00

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-05-19 23:33:35.499077+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/JCVCGKNVR5T5BUFROB2AVQXGYG/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.