{"as_of":"2026-08-07T20:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:30f48d135c458fef85e61297fc56275ebc73070070754096ae77102213c91ba7","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:41:11.567270Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"pith","source_observed_at":"2026-08-06T13:19:36.025052Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.02867","last_updated":"2024-09-04T16:50:48Z","snapshot_observed_at":"2026-07-06T19:10:29.880696Z","submitted_at":"2024-09-04T16:50:48Z","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.02867","snapshot_observed_at":"2026-08-07T15:41:11.567270Z","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.14320","last_updated":"2025-05-20T13:07:16Z","snapshot_observed_at":"2026-08-07T15:34:19.838805Z","submitted_at":"2025-05-20T13:07:16Z","title":"Accuracy and Fairness of Facial Recognition Technology in Low-Quality Police Images: An Experiment With Synthetic Faces","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-07T15:41:11.567270Z"},"links":{"cited_paper":"/paper/2409.02867","citing_paper":"/paper/2505.14320"},"observation_digest":"sha256:8e1a63310cfce8ba1d02bf8480d52eaa24e8671d0cf5a125798b9b4fde7d6217","observation_id":"3ed961bf-642c-445b-8304-5f8be039b01b","resolution":{"observed_at":"2026-08-07T15:41:11.567270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.02867","last_updated":"2024-09-04T16:50:48Z","snapshot_observed_at":"2026-07-06T19:10:29.880696Z","submitted_at":"2024-09-04T16:50:48Z","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","version":1},"cited_work":{"arxiv_id":"2409.02867","doi":null,"metadata_source":"pith","pith_arxiv_id":"2409.02867","snapshot_observed_at":"2026-08-06T13:19:36.025052Z","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face Recognition","venue":"cs.CV","work_id":"9fe34c1b-f43b-47d1-a845-156921525aac","year":2024},"citing_paper":{"arxiv_id":"2507.20782","last_updated":"2025-07-28T12:52:23Z","snapshot_observed_at":"2026-08-06T13:19:34.478560Z","submitted_at":"2025-07-28T12:52:23Z","title":"Investigation of Accuracy and Bias in Face Recognition Trained with Synthetic Data","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-06T13:19:35.627874Z"},"links":{"cited_paper":"/paper/2409.02867","citing_paper":"/paper/2507.20782"},"observation_digest":"sha256:b9fe62497683a18b4afa6a585c941907376d6f0dcf6444ca9c45cefa2322757b","observation_id":"66a6329d-0886-47e6-8999-f1f497d9b3b2","resolution":{"observed_at":"2026-08-06T13:19:36.030725Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.02867/citation-record","integrity":"/paper/2409.02867/integrity","json":"/paper/2409.02867/citation-record.json","paper":"/paper/2409.02867"},"outbound":[],"paper":{"arxiv_id":"2409.02867","last_updated":"2024-09-04T16:50:48Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T19:10:29.880696Z","submitted_at":"2024-09-04T16:50:48Z","title":"The Impact of Balancing Real and Synthetic Data on Accuracy and Fairness in Face 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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2409.02867."}