{"as_of":"2026-08-20T09:43:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:d41ce7013b2168adca036ad4c0e1cc7c9e750d79ec6ec2e15bcd0ffe7c170394","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":"2026-08-20T06:33:59.587034+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":"2026-08-07T23:07:19.373270Z","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":"2026-08-05T11:41:43.666722Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.04675","last_updated":"2023-02-22T10:39:43Z","snapshot_observed_at":"2026-08-19T16:12:47.297971Z","submitted_at":"2022-10-10T13:26:40Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.04675","snapshot_observed_at":"2026-08-07T23:07:19.373270Z","title":"A survey of methods for addressing class imbalance in deep-learning based natural language processing,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2502.08960","last_updated":"2025-09-12T10:37:30Z","snapshot_observed_at":"2026-08-15T05:01:56.695830Z","submitted_at":"2025-02-13T04:53:17Z","title":"A Comprehensive Survey on Imbalanced Data Learning","version":3},"reference_index":234,"source":"pdf_text","source_observed_at":"2026-08-07T23:07:19.373270Z"},"links":{"cited_paper":"/paper/2210.04675","citing_paper":"/paper/2502.08960"},"observation_digest":"sha256:2a7c52e11826994d29e1c60701c1405a0f093088cfd30cb265107d619a2dbcd9","observation_id":"7063e1fe-6f02-41cd-a6f0-c0773636dfb1","resolution":{"observed_at":"2026-08-07T23:07:19.373270Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04675","last_updated":"2023-02-22T10:39:43Z","snapshot_observed_at":"2026-08-19T16:12:47.297971Z","submitted_at":"2022-10-10T13:26:40Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing","version":2},"cited_work":{"arxiv_id":"2210.04675","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.04675","snapshot_observed_at":"2026-08-05T11:41:43.666722Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing","venue":"cs.CL","work_id":"ab087f0d-2e18-4fbf-be65-5c44f12e3cc5","year":2022},"citing_paper":{"arxiv_id":"2509.02332","last_updated":"2025-09-02T14:00:17Z","snapshot_observed_at":"2026-08-16T23:39:58.785642Z","submitted_at":"2025-09-02T14:00:17Z","title":"Extrapolated Markov Chain Oversampling Method for Imbalanced Text Classification","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-05T11:41:43.480745Z"},"links":{"cited_paper":"/paper/2210.04675","citing_paper":"/paper/2509.02332"},"observation_digest":"sha256:6570fc40e32f0fb043edc4ccadacbb8c00e65dd06bc966cdd928e8d6e1010041","observation_id":"7b4355b3-1d1b-46da-b331-793bfd28dd40","resolution":{"observed_at":"2026-08-05T11:41:43.669995Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2210.04675/citation-record","integrity":"/paper/2210.04675/integrity","json":"/paper/2210.04675/citation-record.json","paper":"/paper/2210.04675"},"outbound":[],"paper":{"arxiv_id":"2210.04675","last_updated":"2023-02-22T10:39:43Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-19T16:12:47.297971Z","submitted_at":"2022-10-10T13:26:40Z","title":"A Survey of Methods for Addressing Class Imbalance in Deep-Learning Based Natural Language Processing"},"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":"2026-08-20T06:33:59.587034+00:00","source":"crossref"},{"observed_at":"2026-08-20T06:33:54.927442+00:00","source":"retraction_watch"}],"thesis":"As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.04675."}