{"as_of":"2026-08-19T01:47:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:4cec4d83816b1b9ed2511f5c4f3b13382c425719bf2e68b357e778e14bc0c3a7","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":"2026-08-18T06:34:40.430872+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":"2026-08-15T20:38:33.839846Z","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":"2026-08-11T11:51:03.138524Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2210.04525","last_updated":"2022-10-11T02:43:12Z","snapshot_observed_at":"2026-08-18T22:41:17.734301Z","submitted_at":"2022-10-10T09:46:40Z","title":"SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training","version":2},"cited_work":{"arxiv_id":"2210.04525","doi":null,"metadata_source":"pith","pith_arxiv_id":"2210.04525","snapshot_observed_at":"2026-08-11T11:51:03.138524Z","title":"SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training","venue":"cs.CL","work_id":"9622f392-70c8-4a34-a3cf-6043e756fd77","year":2022},"citing_paper":{"arxiv_id":"2412.14922","last_updated":"2024-12-19T15:00:18Z","snapshot_observed_at":"2026-08-18T03:47:11.799476Z","submitted_at":"2024-12-19T15:00:18Z","title":"RobustFT: Robust Supervised Fine-tuning for Large Language Models under Noisy Response","version":1},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-11T11:51:02.910744Z"},"links":{"cited_paper":"/paper/2210.04525","citing_paper":"/paper/2412.14922"},"observation_digest":"sha256:84765ec8d3121e94642e0767ea5467e5835ecc52cb7482c3fd96348a21ca894a","observation_id":"544c1cb0-e951-4b00-9876-6d7ac9a59908","resolution":{"observed_at":"2026-08-11T11:51:03.145485Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2210.04525","last_updated":"2022-10-11T02:43:12Z","snapshot_observed_at":"2026-08-18T22:41:17.734301Z","submitted_at":"2022-10-10T09:46:40Z","title":"SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2210.04525","snapshot_observed_at":"2026-08-15T20:38:33.839846Z","title":"Selfmix: Robust learning against textual label noise with self- mixup training,","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2505.12454","last_updated":"2025-05-18T15:10:04Z","snapshot_observed_at":"2026-08-18T08:13:05.661434Z","submitted_at":"2025-05-18T15:10:04Z","title":"Towards DS-NER: Unveiling and Addressing Latent Noise in Distant Annotations","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-15T20:38:33.839846Z"},"links":{"cited_paper":"/paper/2210.04525","citing_paper":"/paper/2505.12454"},"observation_digest":"sha256:46cb59640b9021cbfa9617ad6300e6bfa115e39d31878ffcefff9b1951c3521e","observation_id":"952b37c6-8693-4b16-9ebe-e6607172e2a4","resolution":{"observed_at":"2026-08-15T20:38:33.839846Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2210.04525/citation-record","integrity":"/paper/2210.04525/integrity","json":"/paper/2210.04525/citation-record.json","paper":"/paper/2210.04525"},"outbound":[],"paper":{"arxiv_id":"2210.04525","last_updated":"2022-10-11T02:43:12Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-18T22:41:17.734301Z","submitted_at":"2022-10-10T09:46:40Z","title":"SelfMix: Robust Learning Against Textual Label Noise with Self-Mixup Training"},"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":"2026-08-18T06:34:40.430872+00:00","source":"crossref"},{"observed_at":"2026-08-18T06:34:34.496301+00:00","source":"retraction_watch"}],"thesis":"As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.04525."}