{"as_of":"2026-08-08T04:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:f3ae071b802f847dab9d29b05ba6cb2a689921236ed9147ccd563b1bde4102e2","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":"2026-08-07T06:34:17.273281+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":"2026-08-06T23:12:17.070094Z","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":"2026-05-19T04:02:01.967361Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.10964","last_updated":"2020-02-28T10:53:50Z","snapshot_observed_at":"2026-08-07T22:41:31.334727Z","submitted_at":"2020-02-25T15:30:17Z","title":"Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2002.10964","snapshot_observed_at":"2026-08-06T23:12:17.070094Z","title":"Freeze the discriminator: a simple baseline for fine-tuning gans","venue":null,"work_id":null,"year":2002},"citing_paper":{"arxiv_id":"2506.19360","last_updated":"2025-06-26T01:32:12Z","snapshot_observed_at":"2026-08-07T15:27:42.131677Z","submitted_at":"2025-06-24T06:41:34Z","title":"SoK: Can Synthetic Images Replace Real Data? A Survey of Utility and Privacy of Synthetic Image Generation","version":2},"reference_index":78,"source":"pdf_text","source_observed_at":"2026-08-06T23:12:17.070094Z"},"links":{"cited_paper":"/paper/2002.10964","citing_paper":"/paper/2506.19360"},"observation_digest":"sha256:f8549d1f989ff7148c62fd6462d731275b9b94f7663578c5632c2fb46ced04ba","observation_id":"13ac35a3-8d1e-4373-a470-58d33906cb12","resolution":{"observed_at":"2026-08-06T23:12:17.070094Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10964","last_updated":"2020-02-28T10:53:50Z","snapshot_observed_at":"2026-08-07T22:41:31.334727Z","submitted_at":"2020-02-25T15:30:17Z","title":"Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs","version":2},"cited_work":{"arxiv_id":"2002.10964","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.10964","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Available: https://arxiv.org/abs/2002.10964","venue":null,"work_id":"74a5760b-6bf6-42d7-ab47-2b4e0e0285fc","year":2002},"citing_paper":{"arxiv_id":"2507.09706","last_updated":"2026-04-11T19:21:20Z","snapshot_observed_at":"2026-07-06T21:56:31.058246Z","submitted_at":"2025-07-13T16:46:56Z","title":"Hybrid Quantum-Classical Generative Adversarial Networks with Transfer Learning","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-05-19T03:58:09.449544Z"},"links":{"cited_paper":"/paper/2002.10964","citing_paper":"/paper/2507.09706"},"observation_digest":"sha256:ac511e372dd12617454b10638c2b2f598465abda53bd1c41bf74d660a5de60bf","observation_id":"ad64c3e2-a551-427f-afe9-23e155f0542e","resolution":{"observed_at":"2026-05-19T04:02:01.969252Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2002.10964","last_updated":"2020-02-28T10:53:50Z","snapshot_observed_at":"2026-08-07T22:41:31.334727Z","submitted_at":"2020-02-25T15:30:17Z","title":"Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs","version":2},"cited_work":{"arxiv_id":"2002.10964","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.10964","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Available: https://arxiv.org/abs/2002.10964","venue":null,"work_id":"74a5760b-6bf6-42d7-ab47-2b4e0e0285fc","year":2002},"citing_paper":{"arxiv_id":"2604.23888","last_updated":"2026-04-26T21:23:04Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2026-04-26T21:23:04Z","title":"Geometry Preserving Loss Functions Promote Improved Adaptation of Blackbox Generative Model","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-05-08T06:28:04.734821Z"},"links":{"cited_paper":"/paper/2002.10964","citing_paper":"/paper/2604.23888"},"observation_digest":"sha256:93ae06e24c4e31b986e73e5b2fd1c629c663783798b4e9ad7e57de8a930a31a0","observation_id":"49054d7e-acac-4f94-9c24-bc4a8eaca371","resolution":{"observed_at":"2026-05-11T21:11:19.408001Z","resolver_source":"arxiv_id","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/2002.10964/citation-record","integrity":"/paper/2002.10964/integrity","json":"/paper/2002.10964/citation-record.json","paper":"/paper/2002.10964"},"outbound":[],"paper":{"arxiv_id":"2002.10964","last_updated":"2020-02-28T10:53:50Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-07T22:41:31.334727Z","submitted_at":"2020-02-25T15:30:17Z","title":"Freeze the Discriminator: a Simple Baseline for Fine-Tuning GANs"},"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 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2002.10964."}