{"as_of":"2026-07-19T05:21:00Z","canonical_paper_id":"IQTZK4WR","canonical_url":"https://pith.science/paper/IQTZK4WR/integrity","context_digest":"sha256:56cfddc0818e3773c33c9e42c42134641fc941af34b8464eecde976d507dd63f","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/2204.13919","bundle_json":"/pith/IQTZK4WRUZRYJ5FUB2KVZDXZUN/bundle.json","citation_record":"/paper/IQTZK4WR/citation-record","evidence":"/evidence","html":"/paper/IQTZK4WR/integrity","integrity_json":"/paper/IQTZK4WR/integrity.json","json":"/paper/IQTZK4WR/integrity.json","legacy_integrity_json":"/pith/IQTZK4WR/integrity.json","paper":"/paper/IQTZK4WR","reference_changes":"/flags?citing=IQTZK4WR"},"paper":{"arxiv_id":"2204.13919","latest_version":1,"primary_cat":"cs.CV","title":"Privacy-Preserving Model Upgrades with Bidirectional Compatible Training in Image Retrieval"},"pith_number":"pith:2022:IQTZK4WRUZRYJ5FUB2KVZDXZUN","pith_short":"IQTZK4WRUZRYJ5FUB2KVZDXZUN","record":{"arxiv_id":"2204.13919","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2204.13919. 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"}