{"as_of":"2026-08-17T13:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:abfd3820314f4d530247d88317c1f2bbba5f42b6720a2b1aa62057712b61244d","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":"2026-08-17T06:30:58.91139+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":"2026-08-14T12:22:17.482605Z","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":"2026-08-14T12:22:17.751699Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1902.10740","last_updated":"2019-02-27T19:25:52Z","snapshot_observed_at":"2026-08-14T17:10:06.300235Z","submitted_at":"2019-02-27T19:25:52Z","title":"Object-driven Text-to-Image Synthesis via Adversarial Training","version":1},"cited_work":{"arxiv_id":"1902.10740","doi":null,"metadata_source":"pith","pith_arxiv_id":"1902.10740","snapshot_observed_at":"2026-08-14T12:22:17.751699Z","title":"Object-driven Text-to-Image Synthesis via Adversarial Training","venue":"cs.CV","work_id":"5db4addf-bbe8-4e4a-b33c-aab50b494ed6","year":2019},"citing_paper":{"arxiv_id":"1908.07500","last_updated":"2019-08-20T17:22:31Z","snapshot_observed_at":"2026-08-16T16:54:39.526908Z","submitted_at":"2019-08-20T17:22:31Z","title":"Image Synthesis From Reconfigurable Layout and Style","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-14T12:22:17.482605Z"},"links":{"cited_paper":"/paper/1902.10740","citing_paper":"/paper/1908.07500"},"observation_digest":"sha256:9a3036e61e3f03dfa04471c1e665616f57b96e46e7785fa2ec044841cb315cf0","observation_id":"f5dfb9ae-b1c9-4ff4-bddf-4b410819b58a","resolution":{"observed_at":"2026-08-14T12:22:17.757859Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1902.10740/citation-record","integrity":"/paper/1902.10740/integrity","json":"/paper/1902.10740/citation-record.json","paper":"/paper/1902.10740"},"outbound":[],"paper":{"arxiv_id":"1902.10740","last_updated":"2019-02-27T19:25:52Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-14T17:10:06.300235Z","submitted_at":"2019-02-27T19:25:52Z","title":"Object-driven Text-to-Image Synthesis via Adversarial Training"},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1902.10740."}