{"as_of":"2026-07-21T15:41:00Z","canonical_paper_id":"HWLZIWXT","canonical_url":"https://pith.science/paper/HWLZIWXT/integrity","context_digest":"sha256:0c72f4713ea37a35eba61217966cf51318640a3a4d215da055334233f29f0ee2","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/1904.11138","bundle_json":"/pith/HWLZIWXTAX54XJCN65GR2YNQEI/bundle.json","citation_record":"/paper/HWLZIWXT/citation-record","evidence":"/evidence","html":"/paper/HWLZIWXT/integrity","integrity_json":"/paper/HWLZIWXT/integrity.json","json":"/paper/HWLZIWXT/integrity.json","legacy_integrity_json":"/pith/HWLZIWXT/integrity.json","paper":"/paper/HWLZIWXT","reference_changes":"/flags?citing=HWLZIWXT"},"paper":{"arxiv_id":"1904.11138","latest_version":1,"primary_cat":"cs.CV","title":"Learning Discriminative Features Via Weights-biased Softmax Loss"},"pith_number":"pith:2019:HWLZIWXTAX54XJCN65GR2YNQEI","pith_short":"HWLZIWXTAX54XJCN65GR2YNQEI","record":{"arxiv_id":"1904.11138","claim":"As of an unrecorded date, Pith completed 0 of 0 listed checks against arXiv:1904.11138. 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"}