{"as_of":"2026-08-08T21:35:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:29d4ad9089d077ef8e149696fe10a2fa578559773500be52bd8d8cdc9cd51da5","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":5,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":5,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-08T06:32:00.761636+00:00","state":"measured"},{"denominator":5,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":5,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-03T16:50:34.356528Z","state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":1,"source":"arxiv_reference","source_observed_at":"2026-08-05T02:28:24.338817Z","state":"measured"}],"external_citation_measurements":[{"count":29,"observed_at":"2026-08-05T02:28:24.338817Z","source":"arxiv_reference"}],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2110.01889","last_updated":"2022-06-29T16:14:08Z","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey","version":3},"cited_work":{"arxiv_id":"2110.01889","doi":"10.48550/arxiv.2110.01889","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.01889","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Neural Networks and Tabular Data: A Survey","venue":"arXiv (Cornell University)","work_id":"93f57855-ef13-447a-9bb3-7c52593fcd9f","year":2021},"citing_paper":{"arxiv_id":"2207.01848","last_updated":"2023-09-16T09:33:32Z","snapshot_observed_at":"2026-07-06T13:27:49.894090Z","submitted_at":"2022-07-05T07:17:43Z","title":"TabPFN: A Transformer That Solves Small Tabular Classification Problems in a Second","version":6},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-05-15T03:04:00.513443Z"},"links":{"cited_paper":"/paper/2110.01889","citing_paper":"/paper/2207.01848"},"observation_digest":"sha256:46e729ae8ce59ecfa983f56d3a72d32d98ce17e292bcf1d6f42f3b7c78ab7f0c","observation_id":"6e73733a-182d-4469-ba16-23078b28ecad","resolution":{"observed_at":"2026-05-15T03:04:00.547031Z","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":"2110.01889","last_updated":"2022-06-29T16:14:08Z","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey","version":3},"cited_work":{"arxiv_id":"2110.01889","doi":"10.48550/arxiv.2110.01889","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.01889","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Neural Networks and Tabular Data: A Survey","venue":"arXiv (Cornell University)","work_id":"93f57855-ef13-447a-9bb3-7c52593fcd9f","year":2021},"citing_paper":{"arxiv_id":"2301.01864","last_updated":"2026-04-10T12:13:40Z","snapshot_observed_at":"2026-07-06T14:37:36.058838Z","submitted_at":"2023-01-05T01:03:17Z","title":"AXIL: Exact Instance Attribution for Gradient Boosting","version":2},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-05-24T09:59:06.189776Z"},"links":{"cited_paper":"/paper/2110.01889","citing_paper":"/paper/2301.01864"},"observation_digest":"sha256:00ba0cf750c85bd096b1608065b915804f55bcbd2476f8cd0dcc315b4b21c07a","observation_id":"232290ba-3e99-42d4-b0da-ad52c3b18f23","resolution":{"observed_at":"2026-05-24T09:59:18.531461Z","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":"2110.01889","last_updated":"2022-06-29T16:14:08Z","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey","version":3},"cited_work":{"arxiv_id":"2110.01889","doi":"10.48550/arxiv.2110.01889","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.01889","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Neural Networks and Tabular Data: A Survey","venue":"arXiv (Cornell University)","work_id":"93f57855-ef13-447a-9bb3-7c52593fcd9f","year":2021},"citing_paper":{"arxiv_id":"2406.03506","last_updated":"2024-10-14T21:21:31Z","snapshot_observed_at":"2026-07-06T18:26:05.938067Z","submitted_at":"2024-06-04T20:33:35Z","title":"Fuzzy Convolution Neural Networks for Tabular Data Classification","version":5},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-05-24T00:11:02.572239Z"},"links":{"cited_paper":"/paper/2110.01889","citing_paper":"/paper/2406.03506"},"observation_digest":"sha256:b0d2d2918ab6b19a8f6f81332260a916e7878120df0c48fa7c25ef5c09aa42de","observation_id":"3d7c9000-9635-4881-96a1-d65d090e0fd3","resolution":{"observed_at":"2026-05-24T00:13:38.917134Z","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":"2110.01889","last_updated":"2022-06-29T16:14:08Z","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey","version":3},"cited_work":{"arxiv_id":"2110.01889","doi":"10.48550/arxiv.2110.01889","metadata_source":"arxiv_reference","pith_arxiv_id":"2110.01889","snapshot_observed_at":"2026-08-05T02:28:24.338817Z","title":"Deep Neural Networks and Tabular Data: A Survey","venue":"arXiv (Cornell University)","work_id":"93f57855-ef13-447a-9bb3-7c52593fcd9f","year":2021},"citing_paper":{"arxiv_id":"2605.24908","last_updated":"2026-05-24T07:18:52Z","snapshot_observed_at":"2026-08-02T20:27:50.899042Z","submitted_at":"2026-05-24T07:18:52Z","title":"On the Impact of Class Imbalance on the Learning Dynamics of Deep Neural Networks:An Intuitive Insight","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-06-30T12:17:44.093253Z"},"links":{"cited_paper":"/paper/2110.01889","citing_paper":"/paper/2605.24908"},"observation_digest":"sha256:2ab505e6df35a62c188ad1d62f8b46d90a8019c4d56dfca6511e58d010430ca3","observation_id":"188a3252-d982-4ee5-b5ee-451c6b01c823","resolution":{"observed_at":"2026-06-30T12:24:39.851046Z","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":"2110.01889","last_updated":"2022-06-29T16:14:08Z","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2110.01889","snapshot_observed_at":"2026-08-03T16:50:34.356528Z","title":"Deep neural networks and tabular data: A survey","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2607.28945","last_updated":"2026-07-31T01:57:07Z","snapshot_observed_at":"2026-08-07T13:15:07.247869Z","submitted_at":"2026-07-31T01:57:07Z","title":"FairDiffuseVQVAE: Sampling-Time Fairness in Tabular Diffusion via Conditional Refinement of Vector-Quantized Latents","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-03T16:50:34.356528Z"},"links":{"cited_paper":"/paper/2110.01889","citing_paper":"/paper/2607.28945"},"observation_digest":"sha256:be411ec1ef8c735d8ebee4c1a12fae1093c34f93935ec8b7d61c4947d3405134","observation_id":"220fe543-f9de-4500-aadc-91e2ba6dbadb","resolution":{"observed_at":"2026-08-03T16:50:34.356528Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2110.01889/citation-record","integrity":"/paper/2110.01889/integrity","json":"/paper/2110.01889/citation-record.json","paper":"/paper/2110.01889"},"outbound":[],"paper":{"arxiv_id":"2110.01889","last_updated":"2022-06-29T16:14:08Z","latest_version":3,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T16:30:55.410900Z","submitted_at":"2021-10-05T09:22:39Z","title":"Deep Neural Networks and Tabular Data: A Survey"},"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 5 inbound Pith citation observations for arXiv:2110.01889."}