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Integrity report for PILOT: A Data-Free Continual Learning Approach for Real-Time Semantic Segmentation via Boundary Guidance

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

arXiv:2605.27128 · pith:2026:FTL46ZLNHWG5RNVVZVTU5WRLXJ

0Critical
0Advisory
5Detectors run
2026-06-03Last checked

Paper page arXiv integrity.json bundle.json

Detector runs

ai_meta_artifact skipped v1.0.0 · findings 0 · 2026-06-03 03:35:24.732292+00:00
claim_evidence completed v1.0.0 · findings 0 · 2026-06-01 10:07:16.797972+00:00
shingle_duplication skipped v0.1.0 · findings 0 · 2026-05-27 21:49:59.506212+00:00
citation_quote_validity skipped v0.1.0 · findings 0 · 2026-05-27 09:50:19.769925+00:00
cited_work_retraction completed v1.0.0 · findings 0 · 2026-05-27 06:23:38.410884+00:00

Findings

No public integrity findings for this paper.

Signed record

The machine-readable record for this paper lives at /pith/FTL46ZLN/integrity.json. Pith Number bundles also include signed pith.integrity.v1 events where a Pith Number exists.