{"as_of":"2026-07-17T13:14:00Z","canonical_paper_id":"IXEDDJCZ","canonical_url":"https://pith.science/paper/IXEDDJCZ/integrity","context_digest":"sha256:b850bff30d42f3f37077def1bf33a488e2c97ef3ba4426031152ddc937b5a516","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/2106.00613","bundle_json":"/pith/IXEDDJCZX744NY45XFA3NCYHHL/bundle.json","citation_record":"/paper/IXEDDJCZ/citation-record","evidence":"/evidence","html":"/paper/IXEDDJCZ/integrity","integrity_json":"/paper/IXEDDJCZ/integrity.json","json":"/paper/IXEDDJCZ/integrity.json","legacy_integrity_json":"/pith/IXEDDJCZ/integrity.json","paper":"/paper/IXEDDJCZ","reference_changes":"/flags?citing=IXEDDJCZ"},"paper":{"arxiv_id":"2106.00613","latest_version":1,"primary_cat":"eess.SP","title":"A Compact and Interpretable Convolutional Neural Network for Cross-Subject Driver Drowsiness Detection from Single-Channel EEG"},"pith_number":"pith:2021:IXEDDJCZX744NY45XFA3NCYHHL","pith_short":"IXEDDJCZX744NY45XFA3NCYHHL","record":{"arxiv_id":"2106.00613","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2106.00613. 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"}