{"as_of":"2026-07-19T13:03:00Z","canonical_paper_id":"NXG4RRMX","canonical_url":"https://pith.science/paper/NXG4RRMX/integrity","context_digest":"sha256:a00ba134d4573c9c18edd77ab8a682fed14de956260c14b6fcb041284f367cbd","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/2112.05588","bundle_json":"/pith/NXG4RRMXPZWHM7CLEJJMFVLZ4B/bundle.json","citation_record":"/paper/NXG4RRMX/citation-record","evidence":"/evidence","html":"/paper/NXG4RRMX/integrity","integrity_json":"/paper/NXG4RRMX/integrity.json","json":"/paper/NXG4RRMX/integrity.json","legacy_integrity_json":"/pith/NXG4RRMX/integrity.json","paper":"/paper/NXG4RRMX","reference_changes":"/flags?citing=NXG4RRMX"},"paper":{"arxiv_id":"2112.05588","latest_version":1,"primary_cat":"cs.CR","title":"Copy, Right? A Testing Framework for Copyright Protection of Deep Learning Models"},"pith_number":"pith:2021:NXG4RRMXPZWHM7CLEJJMFVLZ4B","pith_short":"NXG4RRMXPZWHM7CLEJJMFVLZ4B","record":{"arxiv_id":"2112.05588","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2112.05588. 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"}