{"as_of":"2026-08-08T18:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:cce6e675d1d3a91fd8dbbccff4035d1bad5edae37372d1b72f2af07bd2a45875","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":2,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":2,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":2,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":2,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T15:10:11.195032Z","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":"2026-05-23T21:48:28.713091Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2011.03687","last_updated":"2021-08-18T20:49:13Z","snapshot_observed_at":"2026-08-08T15:52:03.340716Z","submitted_at":"2020-11-07T04:31:33Z","title":"When Optimizing $f$-divergence is Robust with Label Noise","version":3},"cited_work":{"arxiv_id":"2011.03687","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2011.03687","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"When optimizing f-divergence is robust with label noise","venue":null,"work_id":"738242f1-ca25-49b4-8938-a5f89d201bfb","year":2011},"citing_paper":{"arxiv_id":"2408.11338","last_updated":"2026-04-19T00:17:32Z","snapshot_observed_at":"2026-07-06T19:03:52.342045Z","submitted_at":"2024-08-21T04:45:12Z","title":"Automatic Dataset Construction (ADC): Sample Collection, Data Curation, and Beyond","version":2},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-05-23T21:47:28.193374Z"},"links":{"cited_paper":"/paper/2011.03687","citing_paper":"/paper/2408.11338"},"observation_digest":"sha256:6cf2373b87de9dc255db8c6b690089d5f3abde498663d3c2f76b75fa653b1832","observation_id":"3b0e2402-fc0f-40f2-918d-27ff42ffc1b4","resolution":{"observed_at":"2026-05-23T21:48:28.717285Z","resolver_source":"arxiv_id","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"}},{"citation":{"cited_paper":{"arxiv_id":"2011.03687","last_updated":"2021-08-18T20:49:13Z","snapshot_observed_at":"2026-08-08T15:52:03.340716Z","submitted_at":"2020-11-07T04:31:33Z","title":"When Optimizing $f$-divergence is Robust with Label Noise","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2011.03687","snapshot_observed_at":"2026-08-07T15:10:11.195032Z","title":"When optimizing f-divergence is robust with label noise.arXiv preprint arXiv:2011.03687, 2020","venue":null,"work_id":null,"year":2011},"citing_paper":{"arxiv_id":"2505.16149","last_updated":"2025-05-22T02:47:36Z","snapshot_observed_at":"2026-08-07T15:04:05.913617Z","submitted_at":"2025-05-22T02:47:36Z","title":"When VLMs Meet Image Classification: Test Sets Renovation via Missing Label Identification","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-07T15:10:11.195032Z"},"links":{"cited_paper":"/paper/2011.03687","citing_paper":"/paper/2505.16149"},"observation_digest":"sha256:58bcad344802212447878a1e894b076275db9ae3293dea160647b1b14bf0568a","observation_id":"7369f625-704c-4374-9e58-c03f7e205b67","resolution":{"observed_at":"2026-08-07T15:10:11.195032Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2011.03687/citation-record","integrity":"/paper/2011.03687/integrity","json":"/paper/2011.03687/citation-record.json","paper":"/paper/2011.03687"},"outbound":[],"paper":{"arxiv_id":"2011.03687","last_updated":"2021-08-18T20:49:13Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-08T15:52:03.340716Z","submitted_at":"2020-11-07T04:31:33Z","title":"When Optimizing $f$-divergence is Robust with Label Noise"},"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 2 inbound Pith citation observations for arXiv:2011.03687."}