{"as_of":"2026-08-09T07:07:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:a490d29984c848f98c2428e07aecac9e15148aeedfe17cedb8d7f7f62de4149d","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T17:58:21.182574Z","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":"2026-08-06T17:58:23.544951Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2012.00925","last_updated":"2020-12-02T01:49:47Z","snapshot_observed_at":"2026-08-07T16:52:53.177977Z","submitted_at":"2020-12-02T01:49:47Z","title":"SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning","version":1},"cited_work":{"arxiv_id":"2012.00925","doi":null,"metadata_source":"pith","pith_arxiv_id":"2012.00925","snapshot_observed_at":"2026-08-06T17:58:23.544951Z","title":"SemiNLL: A Framework of Noisy-Label Learning by Semi-Supervised Learning","venue":"cs.LG","work_id":"eaeb0444-cc7e-49f1-8d22-1b9291503f6e","year":2020},"citing_paper":{"arxiv_id":"2507.10611","last_updated":"2025-07-13T08:51:51Z","snapshot_observed_at":"2026-08-06T17:50:50.481870Z","submitted_at":"2025-07-13T08:51:51Z","title":"FedGSCA: Medical Federated Learning with Global Sample Selector and Client Adaptive Adjuster under Label Noise","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-06T17:58:21.182574Z"},"links":{"cited_paper":"/paper/2012.00925","citing_paper":"/paper/2507.10611"},"observation_digest":"sha256:63e0c9d0246f160f8e14a6a51b6e60fded695339f2f5b5ce0ced351482ede87b","observation_id":"94344605-319c-449a-8603-23c2bf493bfa","resolution":{"observed_at":"2026-08-06T17:58:23.668480Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2012.00925/citation-record","integrity":"/paper/2012.00925/integrity","json":"/paper/2012.00925/citation-record.json","paper":"/paper/2012.00925"},"outbound":[],"paper":{"arxiv_id":"2012.00925","last_updated":"2020-12-02T01:49:47Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-07T16:52:53.177977Z","submitted_at":"2020-12-02T01:49:47Z","title":"SemiNLL: A Framework of Noisy-Label Learning by 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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2012.00925."}