{"as_of":"2026-07-22T06:15:00Z","canonical_paper_id":"D42RARJH","canonical_url":"https://pith.science/paper/D42RARJH/integrity","context_digest":"sha256:f194f58138bbc91eed88740dad7e3cdd9a9e228ac6ec47f49fa0cde7d07cbdeb","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/2111.12264","bundle_json":"/pith/D42RARJHCL5SURXGYTBDCWD3PH/bundle.json","citation_record":"/paper/D42RARJH/citation-record","evidence":"/evidence","html":"/paper/D42RARJH/integrity","integrity_json":"/paper/D42RARJH/integrity.json","json":"/paper/D42RARJH/integrity.json","legacy_integrity_json":"/pith/D42RARJH/integrity.json","paper":"/paper/D42RARJH","reference_changes":"/flags?citing=D42RARJH"},"paper":{"arxiv_id":"2111.12264","latest_version":6,"primary_cat":"cs.CV","title":"Pixel-wise Energy-biased Abstention Learning for Anomaly Segmentation on Complex Urban Driving Scenes"},"pith_number":"pith:2021:D42RARJHCL5SURXGYTBDCWD3PH","pith_short":"D42RARJHCL5SURXGYTBDCWD3PH","record":{"arxiv_id":"2111.12264","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:2111.12264. 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"}