{"as_of":"2026-08-05T15:12:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:b6bfbd094122d97a5c49086b57bb0a57178de01d5ccd2e8ffddabc46bfc76a35","coverage":[{"denominator":0,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":1,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-05T06:32:48.257954+00:00","state":"measured"},{"denominator":1,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":1,"source":"paper_references, paper_reference_links","source_observed_at":"2026-07-12T08:12:18.373103Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2308.04553","last_updated":"2024-07-17T15:07:01Z","snapshot_observed_at":"2026-08-04T16:21:30.569460Z","submitted_at":"2023-08-08T19:52:28Z","title":"From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.04553","snapshot_observed_at":"2026-07-12T08:12:18.373103Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2607.02637","last_updated":"2026-07-02T15:34:46Z","snapshot_observed_at":"2026-08-02T18:06:42.028681Z","submitted_at":"2026-07-02T15:34:46Z","title":"Post-Generation Curation of Synthetic Images via Homogeneous-Heterogeneous Splitting","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-07-12T08:12:18.373103Z"},"links":{"cited_paper":"/paper/2308.04553","citing_paper":"/paper/2607.02637"},"observation_digest":"sha256:c780c8bd20cd27941334eaa54f6af222549d3a8bb6b0d33546caf1a51bc93ef4","observation_id":"a4edce16-eeec-482d-9c97-a178e98647a0","resolution":{"observed_at":"2026-07-12T08:12:18.373103Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2308.04553/citation-record","integrity":"/paper/2308.04553/integrity","json":"/paper/2308.04553/citation-record.json","paper":"/paper/2308.04553"},"outbound":[],"paper":{"arxiv_id":"2308.04553","last_updated":"2024-07-17T15:07:01Z","latest_version":3,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-04T16:21:30.569460Z","submitted_at":"2023-08-08T19:52:28Z","title":"From Fake to Real: Pretraining on Balanced Synthetic Images to Prevent Spurious Correlations in Image Recognition"},"reference_resolution":{"displayed":0,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":0,"verified_exact":0,"verified_fuzzy":0},"total_outbound_references":0},"refusal":"A citation records a reference. It does not transfer a finding from one paper to another.","schema":"pith.paper-citation-record.v1","standing_sources":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2308.04553."}