{"as_of":"2026-08-08T14:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d5d72c78305225b2e29825aa6fc0b78336b245fce2192677d122c903a6fd306b","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":"2026-08-07T10:32:10.201671Z","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":"2026-08-07T10:32:13.578921Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2302.05080","last_updated":"2023-02-10T06:43:53Z","snapshot_observed_at":"2026-08-06T07:09:34.377013Z","submitted_at":"2023-02-10T06:43:53Z","title":"Long-Tailed Partial Label Learning via Dynamic Rebalancing","version":1},"cited_work":{"arxiv_id":"2302.05080","doi":null,"metadata_source":"pith","pith_arxiv_id":"2302.05080","snapshot_observed_at":"2026-08-07T10:32:13.578921Z","title":"Long-Tailed Partial Label Learning via Dynamic Rebalancing","venue":"cs.LG","work_id":"e9cbe45c-ede2-4bb9-8ea1-4ba2c9891472","year":2023},"citing_paper":{"arxiv_id":"2506.05027","last_updated":"2025-06-05T13:37:33Z","snapshot_observed_at":"2026-08-07T17:31:41.184428Z","submitted_at":"2025-06-05T13:37:33Z","title":"Tuning the Right Foundation Models is What you Need for Partial Label Learning","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-07T10:32:10.201671Z"},"links":{"cited_paper":"/paper/2302.05080","citing_paper":"/paper/2506.05027"},"observation_digest":"sha256:0334fb0520108c21dd0b177118bbbbf714c0085a978967e3d3e9cbc9140eeff3","observation_id":"eeeb6eac-9c9e-498a-8edc-ca9f35252205","resolution":{"observed_at":"2026-08-07T10:32:13.585658Z","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/2302.05080/citation-record","integrity":"/paper/2302.05080/integrity","json":"/paper/2302.05080/citation-record.json","paper":"/paper/2302.05080"},"outbound":[],"paper":{"arxiv_id":"2302.05080","last_updated":"2023-02-10T06:43:53Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T07:09:34.377013Z","submitted_at":"2023-02-10T06:43:53Z","title":"Long-Tailed Partial Label Learning via Dynamic Rebalancing"},"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:2302.05080."}