{"as_of":"2026-08-09T22:37:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:789f9e4f91c43fe8961ab093931a9b7d2e9dd51f4c0c425e17ca72fc1e7b09c1","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":"2026-08-09T06:31:02.800959+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":"2026-08-06T17:04:12.462067Z","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":"2026-07-03T21:18:59.594364Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2204.03719","last_updated":"2023-07-18T15:28:39Z","snapshot_observed_at":"2026-07-06T12:58:02.265893Z","submitted_at":"2022-04-07T20:13:55Z","title":"A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.03719","snapshot_observed_at":"2026-08-06T17:04:12.462067Z","title":"arXiv preprint arXiv:2204.03719 (2022)","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2507.11902","last_updated":"2025-07-16T04:34:42Z","snapshot_observed_at":"2026-08-09T01:54:59.568735Z","submitted_at":"2025-07-16T04:34:42Z","title":"Resampling strategies for imbalanced regression: a survey and empirical analysis","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-06T17:04:12.462067Z"},"links":{"cited_paper":"/paper/2204.03719","citing_paper":"/paper/2507.11902"},"observation_digest":"sha256:e68609bc32d8dda6b709edbf21ff317d6fd73c1155fb7b057ddba2f755a59bd8","observation_id":"cf648aaa-4423-4cdf-9b5b-31ab3ed18fc9","resolution":{"observed_at":"2026-08-06T17:04:12.462067Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.03719","last_updated":"2023-07-18T15:28:39Z","snapshot_observed_at":"2026-07-06T12:58:02.265893Z","submitted_at":"2022-04-07T20:13:55Z","title":"A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework","version":2},"cited_work":{"arxiv_id":"2204.03719","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2204.03719","snapshot_observed_at":"2026-07-03T21:18:59.594364Z","title":"arXiv:2204.03719 , title =","venue":null,"work_id":"0ef4c75c-4303-4ba9-8a78-0e73cee6774f","year":null},"citing_paper":{"arxiv_id":"2606.18528","last_updated":"2026-06-16T22:48:44Z","snapshot_observed_at":"2026-08-08T10:10:35.690341Z","submitted_at":"2026-06-16T22:48:44Z","title":"A Prototypical Signature Approach for Writer-Independent Offline Signature Verification","version":1},"reference_index":150,"source":"arxiv_source","source_observed_at":"2026-06-27T00:39:00.630243Z"},"links":{"cited_paper":"/paper/2204.03719","citing_paper":"/paper/2606.18528"},"observation_digest":"sha256:7597a5e44116ef397e7aa00bbc673d879941f87ec62c5ea6ba2e36cb43118ac0","observation_id":"632bf99f-3a42-4270-9b14-62eac61a9d75","resolution":{"observed_at":"2026-07-03T21:18:59.596309Z","resolver_source":"arxiv_id","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/2204.03719/citation-record","integrity":"/paper/2204.03719/integrity","json":"/paper/2204.03719/citation-record.json","paper":"/paper/2204.03719"},"outbound":[],"paper":{"arxiv_id":"2204.03719","last_updated":"2023-07-18T15:28:39Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-07-06T12:58:02.265893Z","submitted_at":"2022-04-07T20:13:55Z","title":"A survey on learning from imbalanced data streams: taxonomy, challenges, empirical study, and reproducible experimental framework"},"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 2 inbound Pith citation observations for arXiv:2204.03719."}