{"as_of":"2026-08-22T06:29:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6a66de34a1aa85222815c98a5f8c2eb3fb9afe9ba1746af4ee0fb90eabefe046","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":6,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":6,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-21T06:32:19.484+00:00","state":"measured"},{"denominator":6,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":6,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-15T21:47:24.097219Z","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":"2026-05-22T14:41:41.562120Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-08-07T23:07:19.022283Z","title":"Self-supervised learning is more robust to dataset imbalance,","venue":null,"work_id":null,"year":2021},"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":163,"source":"pdf_text","source_observed_at":"2026-08-07T23:07:19.022283Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2502.08960"},"observation_digest":"sha256:52f58fcf3c53051a912be19b159b72f7c96bd8ca3b59786323c1003ea3c16342","observation_id":"c175e368-0994-4798-96d5-3cc3d9a28e8a","resolution":{"observed_at":"2026-08-07T23:07:19.022283Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-08-15T21:47:24.097219Z","title":"Self-supervised learn- ing is more robust to dataset imbalance","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.10575","last_updated":"2025-05-19T02:10:28Z","snapshot_observed_at":"2026-08-15T21:39:56.501046Z","submitted_at":"2025-05-13T23:47:04Z","title":"Robust Emotion Recognition via Bi-Level Self-Supervised Continual Learning","version":2},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-15T21:47:24.097219Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2505.10575"},"observation_digest":"sha256:13c87a6600d9d28c1720e2b0a340f549e908a702ae447efa98ae441687e3b134","observation_id":"9ec44f9f-c6be-4406-9ffa-4fe8c9929af7","resolution":{"observed_at":"2026-08-15T21:47:24.097219Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":"2110.05025","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Self-supervised learning is more robust to dataset imbalance.arXiv 2021","venue":null,"work_id":"7fc8c471-1acf-484b-bea1-e4dbe9586548","year":2021},"citing_paper":{"arxiv_id":"2505.13518","last_updated":"2026-07-18T03:45:25Z","snapshot_observed_at":"2026-08-15T20:41:36.830056Z","submitted_at":"2025-05-17T12:15:28Z","title":"Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods","version":2},"reference_index":123,"source":"pdf_text","source_observed_at":"2026-05-22T14:37:46.556390Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2505.13518"},"observation_digest":"sha256:56b1db5a5c147a021d5033287e4249bf386207082e98c8564d4213bc5bc87135","observation_id":"a986ce35-f6df-4187-bf66-bdd19ebcf8ff","resolution":{"observed_at":"2026-05-22T14:41:41.565143Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-08-15T20:48:15.846536Z","title":"Self-supervised learning is more robust to dataset imbalance.arXiv 2021, arXiv:2110.05025","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2505.13518","last_updated":"2026-07-18T03:45:25Z","snapshot_observed_at":"2026-08-15T20:41:36.830056Z","submitted_at":"2025-05-17T12:15:28Z","title":"Data Balancing Strategies: A Systematic Survey of Resampling and Augmentation Methods","version":3},"reference_index":123,"source":"pdf_text","source_observed_at":"2026-08-15T20:48:15.846536Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2505.13518"},"observation_digest":"sha256:4596625274a1b8d391ea94c76ac65585632b5ddf065a81e9ec1002bd70811f9d","observation_id":"23c12881-4102-47a1-ad38-4381939c83e8","resolution":{"observed_at":"2026-08-15T20:48:15.846536Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-08-06T22:45:24.617760Z","title":"Self-supervised learning is more robust to dataset imbalance","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2507.02929","last_updated":"2025-06-26T05:57:06Z","snapshot_observed_at":"2026-08-14T23:45:53.313986Z","submitted_at":"2025-06-26T05:57:06Z","title":"OBSER: Object-Based Sub-Environment Recognition for Zero-Shot Environmental Inference","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-06T22:45:24.617760Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2507.02929"},"observation_digest":"sha256:a5ca3f97a6f1944601d01adfdf9819e5fd23c6acd4ca67a93e761a8c7d7b907e","observation_id":"b1d74ed1-4e9f-441d-9065-8685649d3db1","resolution":{"observed_at":"2026-08-06T22:45:24.617760Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.05025","snapshot_observed_at":"2026-08-05T12:19:02.082396Z","title":"HaoChen, Adrien Gaidon, and Tengyu Ma","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2509.01804","last_updated":"2025-09-01T22:14:12Z","snapshot_observed_at":"2026-08-20T18:29:07.450217Z","submitted_at":"2025-09-01T22:14:12Z","title":"Mixture of Balanced Information Bottlenecks for Long-Tailed Visual Recognition","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-05T12:19:02.082396Z"},"links":{"cited_paper":"/paper/2110.05025","citing_paper":"/paper/2509.01804"},"observation_digest":"sha256:1a4f0eef2a598780e6c0f974209597152cd8320a9fce2e7901ca93d039a61a79","observation_id":"943ea6f2-f0e6-4d3a-8e7d-22ec6f1651a6","resolution":{"observed_at":"2026-08-05T12:19:02.082396Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.05025/citation-record","integrity":"/paper/2110.05025/integrity","json":"/paper/2110.05025/citation-record.json","paper":"/paper/2110.05025"},"outbound":[],"paper":{"arxiv_id":"2110.05025","last_updated":"2022-05-22T08:42:40Z","latest_version":2,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T03:32:21.901038Z","submitted_at":"2021-10-11T06:29:56Z","title":"Self-supervised Learning is More Robust to Dataset Imbalance"},"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":"2026-08-21T06:32:19.484+00:00","source":"crossref"},{"observed_at":"2026-08-21T06:32:16.066871+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2110.05025."}