{"as_of":"2026-08-06T03:41:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:34fb601cb215e706e8d7acc38a2199b30b2f0e8f68975c6b5a82cc8c79595abc","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":"2026-05-08T16:19:02.437117Z","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":"2026-05-11T18:16:12.793918Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2004.07737","last_updated":"2021-02-04T16:49:18Z","snapshot_observed_at":"2026-07-06T09:12:52.864215Z","submitted_at":"2020-04-16T16:21:17Z","title":"Cross-lingual Contextualized Topic Models with Zero-shot Learning","version":2},"cited_work":{"arxiv_id":"2004.07737","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2004.07737","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2004.07737 , year=","venue":null,"work_id":"082d84ea-a6b2-411e-a86f-61d7545b1f56","year":2004},"citing_paper":{"arxiv_id":"2605.04643","last_updated":"2026-05-06T08:39:35Z","snapshot_observed_at":"2026-07-06T23:17:23.641984Z","submitted_at":"2026-05-06T08:39:35Z","title":"Graph-Augmented LLMs for Swiss MP Ideology Prediction","version":1},"reference_index":193,"source":"arxiv_source","source_observed_at":"2026-05-08T16:19:02.437117Z"},"links":{"cited_paper":"/paper/2004.07737","citing_paper":"/paper/2605.04643"},"observation_digest":"sha256:e41cbe4279885e6d2fac9a69adc9d9e5797914d58acf55590adf58872c8556ec","observation_id":"a2b65828-658d-4240-80c2-1f7113e55335","resolution":{"observed_at":"2026-05-11T18:16:12.805864Z","resolver_source":"arxiv_id","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/2004.07737/citation-record","integrity":"/paper/2004.07737/integrity","json":"/paper/2004.07737/citation-record.json","paper":"/paper/2004.07737"},"outbound":[],"paper":{"arxiv_id":"2004.07737","last_updated":"2021-02-04T16:49:18Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T09:12:52.864215Z","submitted_at":"2020-04-16T16:21:17Z","title":"Cross-lingual Contextualized Topic Models with Zero-shot Learning"},"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 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2004.07737."}