{"as_of":"2026-07-20T11:58:00Z","canonical_paper_id":"DHHEFLU2","canonical_url":"https://pith.science/paper/DHHEFLU2/integrity","context_digest":"sha256:8ebaf5cc0ca61bdfbbeb0caee59e4480dd39b9d791603e583f124ff693aa75b6","coverage_summary":[],"findings":[],"findings_empty_copy":"No checks are listed for this paper yet.","findings_observation_state":"no_listed_checks","links":{"arxiv":"https://arxiv.org/abs/2207.03860","bundle_json":"/pith/DHHEFLU2LNNIPJR47M344K3KDN/bundle.json","citation_record":"/paper/DHHEFLU2/citation-record","evidence":"/evidence","html":"/paper/DHHEFLU2/integrity","integrity_json":"/paper/DHHEFLU2/integrity.json","json":"/paper/DHHEFLU2/integrity.json","legacy_integrity_json":"/pith/DHHEFLU2/integrity.json","paper":"/paper/DHHEFLU2","reference_changes":"/flags?citing=DHHEFLU2"},"paper":{"arxiv_id":"2207.03860","latest_version":2,"primary_cat":"cs.CV","title":"Consecutive Pretraining: A Knowledge Transfer Learning Strategy with Relevant Unlabeled Data for Remote Sensing Domain"},"pith_number":"pith:2022:DHHEFLU2LNNIPJR47M344K3KDN","pith_short":"DHHEFLU2LNNIPJR47M344K3KDN","record":{"arxiv_id":"2207.03860","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2207.03860. No listed check completed, so this record makes no findings claim.","counts":{"completed":0,"failed":0,"listed":0,"not_collected":0,"not_requested":0,"partial":0,"public_findings_from_completed":0,"skipped":0,"unavailable":0,"withheld":0},"coverage":[],"observed_at":null,"refusal":"This is a record of named checks, not a clean-status claim or a paper verdict.","schema":"pith.integrity.v1"},"schema":"pith.paper-integrity-record.v1","species":"LEDGER"}