{"as_of":"2026-08-20T01:21:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:090a2ff6220e67a9c8c21629d03ecb3872c50eaa6fb71309758941f62fbefd30","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":"2026-08-19T06:32:44.657259+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":"2026-07-03T22:14:30.734906Z","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":"2026-07-03T22:18:59.525372Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2107.09427","last_updated":"2021-07-20T11:42:18Z","snapshot_observed_at":"2026-08-16T18:08:48.784774Z","submitted_at":"2021-07-20T11:42:18Z","title":"RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank","version":1},"cited_work":{"arxiv_id":"2107.09427","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.09427","snapshot_observed_at":"2026-07-03T22:18:59.525372Z","title":"arXiv preprint arXiv:2107.09427 , year=","venue":null,"work_id":"a4881f82-4b6c-4932-995a-ae1fc9c2fba3","year":null},"citing_paper":{"arxiv_id":"2606.31363","last_updated":"2026-07-02T04:09:33Z","snapshot_observed_at":"2026-07-07T00:05:02.977105Z","submitted_at":"2026-06-30T08:57:38Z","title":"Language-Assisted Super-Resolution from Real-World Low-Resolution Patches","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-01T05:49:20.689248Z"},"links":{"cited_paper":"/paper/2107.09427","citing_paper":"/paper/2606.31363"},"observation_digest":"sha256:ca4a2a3eda893191c66abac2da28a06365db23014f45e7b7d84f449127674253","observation_id":"46f15e2a-925b-4fd4-b5e5-c0c334cd783b","resolution":{"observed_at":"2026-07-01T10:05:41.490861Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2107.09427","last_updated":"2021-07-20T11:42:18Z","snapshot_observed_at":"2026-08-16T18:08:48.784774Z","submitted_at":"2021-07-20T11:42:18Z","title":"RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank","version":1},"cited_work":{"arxiv_id":"2107.09427","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2107.09427","snapshot_observed_at":"2026-07-03T22:18:59.525372Z","title":"arXiv preprint arXiv:2107.09427 , year=","venue":null,"work_id":"a4881f82-4b6c-4932-995a-ae1fc9c2fba3","year":null},"citing_paper":{"arxiv_id":"2606.31363","last_updated":"2026-07-02T04:09:33Z","snapshot_observed_at":"2026-07-07T00:05:02.977105Z","submitted_at":"2026-06-30T08:57:38Z","title":"Language-Assisted Super-Resolution from Real-World Low-Resolution Patches","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-07-03T22:14:30.734906Z"},"links":{"cited_paper":"/paper/2107.09427","citing_paper":"/paper/2606.31363"},"observation_digest":"sha256:49edf2f6d07eaf7e01b9e6f4af0d687f542988c5d458fe4db0a95be31959a1ee","observation_id":"160236cb-07c4-4781-814b-3d9c87f15308","resolution":{"observed_at":"2026-07-03T22:18:59.527005Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2107.09427/citation-record","integrity":"/paper/2107.09427/integrity","json":"/paper/2107.09427/citation-record.json","paper":"/paper/2107.09427"},"outbound":[],"paper":{"arxiv_id":"2107.09427","last_updated":"2021-07-20T11:42:18Z","latest_version":1,"primary_category":"cs.CV","snapshot_observed_at":"2026-08-16T18:08:48.784774Z","submitted_at":"2021-07-20T11:42:18Z","title":"RankSRGAN: Super Resolution Generative Adversarial Networks with Learning to Rank"},"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":"2026-08-19T06:32:44.657259+00:00","source":"crossref"},{"observed_at":"2026-08-19T06:32:39.956319+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2107.09427."}