{"as_of":"2026-08-16T13:01:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:18f0308b2f494b13b34c40f4b1b1a1cdfb6802a6f287615d67e073c127facbec","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":"2026-08-16T06:30:59.297886+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":"2026-08-12T21:48:01.052781Z","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":"2026-08-12T21:48:01.237004Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.06815","last_updated":"2020-02-17T07:48:47Z","snapshot_observed_at":"2026-08-16T01:15:04.098980Z","submitted_at":"2020-02-17T07:48:47Z","title":"Class-Imbalanced Semi-Supervised Learning","version":1},"cited_work":{"arxiv_id":"2002.06815","doi":null,"metadata_source":"pith","pith_arxiv_id":"2002.06815","snapshot_observed_at":"2026-08-12T21:48:01.237004Z","title":"Class-Imbalanced Semi-Supervised Learning","venue":"cs.LG","work_id":"4bebc4fc-6281-4cde-9209-f12435588135","year":2020},"citing_paper":{"arxiv_id":"2411.08340","last_updated":"2024-11-13T05:09:28Z","snapshot_observed_at":"2026-08-14T07:20:01.226666Z","submitted_at":"2024-11-13T05:09:28Z","title":"DyConfidMatch: Dynamic Thresholding and Re-sampling for 3D Semi-supervised Learning","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-12T21:48:01.052781Z"},"links":{"cited_paper":"/paper/2002.06815","citing_paper":"/paper/2411.08340"},"observation_digest":"sha256:2be3e18a98d73f081f19851d264f4146aba570b77dfdbecf3045548f83b47f2e","observation_id":"b52a7286-38dd-46d9-8d74-72c4a81fbdac","resolution":{"observed_at":"2026-08-12T21:48:01.243821Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2002.06815/citation-record","integrity":"/paper/2002.06815/integrity","json":"/paper/2002.06815/citation-record.json","paper":"/paper/2002.06815"},"outbound":[],"paper":{"arxiv_id":"2002.06815","last_updated":"2020-02-17T07:48:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T01:15:04.098980Z","submitted_at":"2020-02-17T07:48:47Z","title":"Class-Imbalanced Semi-Supervised 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":"2026-08-16T06:30:59.297886+00:00","source":"crossref"},{"observed_at":"2026-08-16T06:30:54.164669+00:00","source":"retraction_watch"}],"thesis":"As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2002.06815."}