{"as_of":"2026-08-05T10:13:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d356a65cf852f4755f4aeedca31c3732477d95ff265da03578bcdd6e58883470","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":"2026-08-05T06:32:48.257954+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":"2026-05-24T22:36:54.439486Z","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":"2026-05-24T22:40:02.013189Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1905.10163","last_updated":"2019-05-24T11:46:56Z","snapshot_observed_at":"2026-07-06T07:55:14.791560Z","submitted_at":"2019-05-24T11:46:56Z","title":"Generative adversarial network based on chaotic time series","version":1},"cited_work":{"arxiv_id":"1905.10163","doi":null,"metadata_source":"pith","pith_arxiv_id":"1905.10163","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Generative adversarial network based on chaotic time series","venue":"cs.LG","work_id":"59d7784e-afb7-4baf-83a9-fb3b8b6f8b7a","year":2019},"citing_paper":{"arxiv_id":"1907.05625","last_updated":"2019-07-12T08:44:04Z","snapshot_observed_at":"2026-08-02T14:17:11.201090Z","submitted_at":"2019-07-12T08:44:04Z","title":"Generation of Schubert polynomial series by nanophotonics","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-05-24T22:36:54.439486Z"},"links":{"cited_paper":"/paper/1905.10163","citing_paper":"/paper/1907.05625"},"observation_digest":"sha256:00cc5ebf4caf94bfbaaf8cc29dc7abb5a9db1eb4aef86e40d70e0b4ee606f437","observation_id":"c850125a-26d8-4a26-9e84-232f4a820cc3","resolution":{"observed_at":"2026-05-24T22:40:02.015903Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1905.10163/citation-record","integrity":"/paper/1905.10163/integrity","json":"/paper/1905.10163/citation-record.json","paper":"/paper/1905.10163"},"outbound":[],"paper":{"arxiv_id":"1905.10163","last_updated":"2019-05-24T11:46:56Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T07:55:14.791560Z","submitted_at":"2019-05-24T11:46:56Z","title":"Generative adversarial network based on chaotic time series"},"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":"2026-08-05T06:32:48.257954+00:00","source":"crossref"},{"observed_at":"2026-08-05T06:32:44.755628+00:00","source":"retraction_watch"}],"thesis":"As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1905.10163."}