{"as_of":"2026-08-09T09:31:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dccbf3ec5ffdc4c758892bab7c884e25c93e95298476b784d04f469312dfc76d","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":3,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":3,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":3,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":3,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-06T14:59:43.809471Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"arxiv_reference","source_observed_at":"2026-07-01T19:16:01.214037Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2409.17576","last_updated":"2024-10-24T01:41:35Z","snapshot_observed_at":"2026-08-03T22:23:33.394349Z","submitted_at":"2024-09-26T06:46:40Z","title":"ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2409.17576","snapshot_observed_at":"2026-08-06T14:59:43.809471Z","title":"Id 3:identity-preserving-yet-diversified diffusion models for synthetic face recognition,","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.17192","last_updated":"2025-07-28T00:57:20Z","snapshot_observed_at":"2026-08-08T08:10:26.547985Z","submitted_at":"2025-07-23T04:34:56Z","title":"Vec2Face+ for Face Dataset Generation","version":2},"reference_index":82,"source":"pdf_text","source_observed_at":"2026-08-06T14:59:43.809471Z"},"links":{"cited_paper":"/paper/2409.17576","citing_paper":"/paper/2507.17192"},"observation_digest":"sha256:f4419b8869f85ab786e241a0d14e8eb05afca88ebc9133c4604e3abaa7f76c17","observation_id":"bd222069-c246-4d45-96ce-77f775a50fd2","resolution":{"observed_at":"2026-08-06T14:59:43.809471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17576","last_updated":"2024-10-24T01:41:35Z","snapshot_observed_at":"2026-08-03T22:23:33.394349Z","submitted_at":"2024-09-26T06:46:40Z","title":"ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","version":2},"cited_work":{"arxiv_id":"2409.17576","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.17576","snapshot_observed_at":"2026-07-01T19:16:01.214037Z","title":"ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","venue":null,"work_id":"37fb71bd-5fdd-459e-aad2-212c9c564546","year":2024},"citing_paper":{"arxiv_id":"2507.23372","last_updated":"2026-05-22T03:38:02Z","snapshot_observed_at":"2026-08-01T18:46:29.354743Z","submitted_at":"2025-07-31T09:39:27Z","title":"UniEmo: Unifying Emotional Understanding and Generation with Learnable Expert Queries","version":2},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-05-25T08:14:28.540629Z"},"links":{"cited_paper":"/paper/2409.17576","citing_paper":"/paper/2507.23372"},"observation_digest":"sha256:2feb25a6745e29fcdfead2f1749c6672df9fd0fae8a22664d8f8e5e8a084fc39","observation_id":"0182876c-4d3a-421f-8f4f-ab1cac12fcc7","resolution":{"observed_at":"2026-05-25T08:15:33.816084Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2409.17576","last_updated":"2024-10-24T01:41:35Z","snapshot_observed_at":"2026-08-03T22:23:33.394349Z","submitted_at":"2024-09-26T06:46:40Z","title":"ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","version":2},"cited_work":{"arxiv_id":"2409.17576","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2409.17576","snapshot_observed_at":"2026-07-01T19:16:01.214037Z","title":"ID3: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic Face Recognition","venue":null,"work_id":"37fb71bd-5fdd-459e-aad2-212c9c564546","year":2024},"citing_paper":{"arxiv_id":"2605.30894","last_updated":"2026-05-29T06:29:07Z","snapshot_observed_at":"2026-07-06T23:40:07.833692Z","submitted_at":"2026-05-29T06:29:07Z","title":"SteerFace: Debiasing Synthetic Face Generation via Adaptive Residue Perturbation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-06-28T22:47:14.480143Z"},"links":{"cited_paper":"/paper/2409.17576","citing_paper":"/paper/2605.30894"},"observation_digest":"sha256:fb88249ff0923a87bd860f4570b327bfc6f1d3a565dcd4074ad8d0cc8b206165","observation_id":"f8056c97-9933-4b96-8d58-682738b159b1","resolution":{"observed_at":"2026-07-01T19:16:01.215753Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2409.17576/citation-record","integrity":"/paper/2409.17576/integrity","json":"/paper/2409.17576/citation-record.json","paper":"/paper/2409.17576"},"outbound":[],"paper":{"arxiv_id":"2409.17576","last_updated":"2024-10-24T01:41:35Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-03T22:23:33.394349Z","submitted_at":"2024-09-26T06:46:40Z","title":"ID$^3$: Identity-Preserving-yet-Diversified Diffusion Models for Synthetic 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2409.17576."}