{"as_of":"2026-08-13T20:34:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d098e1a4e0e1fdc166a59b15ed855ddaa68579fc84d562afc2062217c7f2373a","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":"2026-08-13T06:32:02.005865+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":"2026-06-27T17:26:11.998614Z","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":"2026-07-03T00:07:28.543762Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2002.02050","last_updated":"2020-07-27T06:26:34Z","snapshot_observed_at":"2026-07-06T08:55:12.169755Z","submitted_at":"2020-02-06T01:04:53Z","title":"Few-Shot Learning as Domain Adaptation: Algorithm and Analysis","version":3},"cited_work":{"arxiv_id":"2002.02050","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2002.02050","snapshot_observed_at":"2026-07-03T00:07:28.543762Z","title":"Few-shot learning as domain adaptation: Algorithm and analysis,","venue":null,"work_id":"7c1dc6a0-fc86-492e-987d-020ddb27e146","year":2002},"citing_paper":{"arxiv_id":"2606.09245","last_updated":"2026-06-08T09:20:32Z","snapshot_observed_at":"2026-08-06T17:14:52.421589Z","submitted_at":"2026-06-08T09:20:32Z","title":"Proposal Refinement for Few-Shot Object Detection","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-06-27T17:26:11.998614Z"},"links":{"cited_paper":"/paper/2002.02050","citing_paper":"/paper/2606.09245"},"observation_digest":"sha256:9bcb52aeff9dfd0e5c24e336d87ddc8fee9eddda6b51552df443cbc420c67288","observation_id":"de5c13cf-f791-4689-8070-04d5a5abd7ab","resolution":{"observed_at":"2026-07-03T00:07:28.545302Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2002.02050/citation-record","integrity":"/paper/2002.02050/integrity","json":"/paper/2002.02050/citation-record.json","paper":"/paper/2002.02050"},"outbound":[],"paper":{"arxiv_id":"2002.02050","last_updated":"2020-07-27T06:26:34Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T08:55:12.169755Z","submitted_at":"2020-02-06T01:04:53Z","title":"Few-Shot Learning as Domain Adaptation: Algorithm and Analysis"},"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":"2026-08-13T06:32:02.005865+00:00","source":"crossref"},{"observed_at":"2026-08-13T06:31:53.387327+00:00","source":"retraction_watch"}],"thesis":"As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2002.02050."}