{"as_of":"2026-08-09T08:10:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:11eba6cfdda536ea5bfaa7579fc155aaa4c831d3782c78c0dbddfb76f9e03696","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":"2026-08-09T06:31:02.800959+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":"2026-08-08T04:54:50.621819Z","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":"2026-08-07T10:45:24.987444Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1910.04302","last_updated":"2019-10-09T23:40:05Z","snapshot_observed_at":"2026-08-09T02:53:11.309353Z","submitted_at":"2019-10-09T23:40:05Z","title":"Prescribed Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1910.04302","snapshot_observed_at":"2026-08-08T04:54:50.621819Z","title":"B., Ruiz, F","venue":null,"work_id":null,"year":1910},"citing_paper":{"arxiv_id":"2502.08512","last_updated":"2025-08-14T07:15:48Z","snapshot_observed_at":"2026-08-08T04:46:02.235147Z","submitted_at":"2025-02-12T15:46:34Z","title":"Measuring Diversity in Synthetic Datasets","version":3},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-08T04:54:50.621819Z"},"links":{"cited_paper":"/paper/1910.04302","citing_paper":"/paper/2502.08512"},"observation_digest":"sha256:6adbf3497b557287816f3a27d5361a2e1456b6cb59313d9b51d380cdb79a7a93","observation_id":"ea37a12b-be95-45ef-b602-e714b715632c","resolution":{"observed_at":"2026-08-08T04:54:50.621819Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1910.04302","last_updated":"2019-10-09T23:40:05Z","snapshot_observed_at":"2026-08-09T02:53:11.309353Z","submitted_at":"2019-10-09T23:40:05Z","title":"Prescribed Generative Adversarial Networks","version":1},"cited_work":{"arxiv_id":"1910.04302","doi":null,"metadata_source":"pith","pith_arxiv_id":"1910.04302","snapshot_observed_at":"2026-08-07T10:45:24.987444Z","title":"Prescribed Generative Adversarial Networks","venue":"stat.ML","work_id":"7a5f8569-d28f-44c5-b997-b7a876cd61b2","year":2019},"citing_paper":{"arxiv_id":"2506.04609","last_updated":"2025-06-05T03:58:03Z","snapshot_observed_at":"2026-08-09T02:53:11.891960Z","submitted_at":"2025-06-05T03:58:03Z","title":"Exploring bidirectional bounds for minimax-training of Energy-based models","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-07T10:45:24.646286Z"},"links":{"cited_paper":"/paper/1910.04302","citing_paper":"/paper/2506.04609"},"observation_digest":"sha256:c63ee9de4a5f3d7accb3e792090a8f279d2fe096b01ca08a023da6ef344cf670","observation_id":"30d86d52-a1ff-4ec2-b99d-1b8d939309ab","resolution":{"observed_at":"2026-08-07T10:45:24.991034Z","resolver_source":"local_arxiv","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/1910.04302/citation-record","integrity":"/paper/1910.04302/integrity","json":"/paper/1910.04302/citation-record.json","paper":"/paper/1910.04302"},"outbound":[],"paper":{"arxiv_id":"1910.04302","last_updated":"2019-10-09T23:40:05Z","latest_version":1,"primary_category":"stat.ML","snapshot_observed_at":"2026-08-09T02:53:11.309353Z","submitted_at":"2019-10-09T23:40:05Z","title":"Prescribed Generative Adversarial Networks"},"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 2 inbound Pith citation observations for arXiv:1910.04302."}