{"as_of":"2026-08-08T20:00:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:bfd354af9460f6dd41b1fa3debc167fa6d79fb2df6747f8d845d44a8d703255d","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":"2026-08-08T06:32:00.761636+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":"2026-08-03T16:50:38.902246Z","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":"2026-05-11T12:46:04.107161Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2307.03577","last_updated":"2024-06-02T08:56:06Z","snapshot_observed_at":"2026-08-06T08:28:10.115977Z","submitted_at":"2023-07-07T13:10:23Z","title":"CuTS: Customizable Tabular Synthetic Data Generation","version":4},"cited_work":{"arxiv_id":"2307.03577","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2307.03577","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2307.03577 , year=","venue":null,"work_id":"bbf7d3d6-baa5-46a6-b40a-f65e277ec4b4","year":null},"citing_paper":{"arxiv_id":"2604.18966","last_updated":"2026-05-17T12:00:22Z","snapshot_observed_at":"2026-08-01T19:53:45.797959Z","submitted_at":"2026-04-21T01:29:52Z","title":"Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-05-10T03:04:54.146481Z"},"links":{"cited_paper":"/paper/2307.03577","citing_paper":"/paper/2604.18966"},"observation_digest":"sha256:69666a02113c1594ad62dbd7fea313c5d6a9ed2abaf294e7d741ff2a103c1eec","observation_id":"4a0d1908-d960-4c9f-9b2c-5fbe63a8e5f2","resolution":{"observed_at":"2026-05-11T12:46:04.116491Z","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":"2307.03577","last_updated":"2024-06-02T08:56:06Z","snapshot_observed_at":"2026-08-06T08:28:10.115977Z","submitted_at":"2023-07-07T13:10:23Z","title":"CuTS: Customizable Tabular Synthetic Data Generation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.03577","snapshot_observed_at":"2026-08-03T16:50:38.902246Z","title":"CuTS : Customizable tabular synthetic data generation","venue":null,"work_id":null,"year":2024},"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":48,"source":"arxiv_source","source_observed_at":"2026-08-03T16:50:38.902246Z"},"links":{"cited_paper":"/paper/2307.03577","citing_paper":"/paper/2607.28945"},"observation_digest":"sha256:b6f2ba123fc5c5d737479491f651895649c7fba111e27ba710520f55df599075","observation_id":"adc52554-83ee-4c82-991f-07383e493cc4","resolution":{"observed_at":"2026-08-03T16:50:38.902246Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2307.03577/citation-record","integrity":"/paper/2307.03577/integrity","json":"/paper/2307.03577/citation-record.json","paper":"/paper/2307.03577"},"outbound":[],"paper":{"arxiv_id":"2307.03577","last_updated":"2024-06-02T08:56:06Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-06T08:28:10.115977Z","submitted_at":"2023-07-07T13:10:23Z","title":"CuTS: Customizable Tabular Synthetic Data Generation"},"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 2 inbound Pith citation observations for arXiv:2307.03577."}