{"as_of":"2026-08-08T16:40:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d56395f0d370eb59a66388b41a6834d9db7bc389185538f2ba6a8268773e7b16","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":"2026-08-08T06:32:00.761636+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":"2026-08-07T05:43:28.537454Z","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":"2026-08-07T05:43:30.676672Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"1907.12374","last_updated":"2019-12-06T21:47:06Z","snapshot_observed_at":"2026-08-04T00:35:44.093385Z","submitted_at":"2019-07-24T14:08:23Z","title":"Topic Modeling with Wasserstein Autoencoders","version":2},"cited_work":{"arxiv_id":"1907.12374","doi":null,"metadata_source":"pith","pith_arxiv_id":"1907.12374","snapshot_observed_at":"2026-08-07T05:43:30.676672Z","title":"Topic Modeling with Wasserstein Autoencoders","venue":"cs.IR","work_id":"0fb9e63c-940e-4a4a-ac24-7494c5dc7923","year":2019},"citing_paper":{"arxiv_id":"2506.07453","last_updated":"2025-06-09T05:59:18Z","snapshot_observed_at":"2026-08-07T05:31:00.117525Z","submitted_at":"2025-06-09T05:59:18Z","title":"Understanding Cross-Domain Adaptation in Low-Resource Topic Modeling","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:28.537454Z"},"links":{"cited_paper":"/paper/1907.12374","citing_paper":"/paper/2506.07453"},"observation_digest":"sha256:b73b3ecd450561bc78ff859f586ad5cc14c81b2bcb6a80063175ee8938298047","observation_id":"2ed50596-e8ac-419c-8ed3-244056ef5f32","resolution":{"observed_at":"2026-08-07T05:43:30.796410Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/1907.12374/citation-record","integrity":"/paper/1907.12374/integrity","json":"/paper/1907.12374/citation-record.json","paper":"/paper/1907.12374"},"outbound":[],"paper":{"arxiv_id":"1907.12374","last_updated":"2019-12-06T21:47:06Z","latest_version":2,"primary_category":"cs.IR","snapshot_observed_at":"2026-08-04T00:35:44.093385Z","submitted_at":"2019-07-24T14:08:23Z","title":"Topic Modeling with Wasserstein Autoencoders"},"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":"2026-08-08T06:32:00.761636+00:00","source":"crossref"},{"observed_at":"2026-08-08T06:31:55.24221+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:1907.12374."}