{"as_of":"2026-08-18T20:22:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:16f6bf90ac59652a27097e3d4fd798a322045be4d5117a31c475490be3a76685","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":"2026-08-18T06:34:40.430872+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":"2026-08-16T11:55:18.163364Z","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":"2026-07-03T10:07:56.187134Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-08-11T10:44:17.741478Z","title":"Group-wise prompting for synthetic tabular data generation using large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2412.16335","last_updated":"2024-12-20T20:49:17Z","snapshot_observed_at":"2026-08-18T16:09:36.166297Z","submitted_at":"2024-12-20T20:49:17Z","title":"Improving Equity in Health Modeling with GPT4-Turbo Generated Synthetic Data: A Comparative Study","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T10:44:17.741478Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2412.16335"},"observation_digest":"sha256:8e91ba610ca0599def2b558bbd83b826fd311f0746c95b46b6522cc3eb467107","observation_id":"9d72b498-5228-43df-9534-35b5349e7ad5","resolution":{"observed_at":"2026-08-11T10:44:17.741478Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-08-16T11:55:18.163364Z","title":"Group-wise prompting for synthetic tabular data generation using large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2504.14368","last_updated":"2025-04-19T17:55:10Z","snapshot_observed_at":"2026-08-18T08:09:44.160753Z","submitted_at":"2025-04-19T17:55:10Z","title":"Do You Really Need Public Data? Surrogate Public Data for Differential Privacy on Tabular Data","version":1},"reference_index":66,"source":"arxiv_source","source_observed_at":"2026-08-16T11:55:18.163364Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2504.14368"},"observation_digest":"sha256:44ba91329aa5cb8ead6b45fc608c9a143bb61e1a94eb6f31b4436dfbbf00bb17","observation_id":"8dff20a9-18a4-4d03-b9c9-646dd2faf861","resolution":{"observed_at":"2026-08-16T11:55:18.163364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-08-16T00:49:59.166406Z","title":"Epic: Effective prompting for imbalanced-class data synthesis in tabular data classification via large language models","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2505.02659","last_updated":"2025-05-06T08:34:46Z","snapshot_observed_at":"2026-08-18T18:38:50.681868Z","submitted_at":"2025-05-05T14:05:15Z","title":"A Note on Statistically Accurate Tabular Data Generation Using Large Language Models","version":2},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-16T00:49:59.166406Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2505.02659"},"observation_digest":"sha256:395d43646438a53c697762b96573ef44b3a1f8cc91c5168a009a1562022bbee5","observation_id":"12266270-5f0f-4e53-a4c3-90a9ac57da3a","resolution":{"observed_at":"2026-08-16T00:49:59.166406Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-08-06T15:04:00.802984Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2507.17066","last_updated":"2025-07-22T22:59:08Z","snapshot_observed_at":"2026-08-17T16:57:37.991164Z","submitted_at":"2025-07-22T22:59:08Z","title":"Risk In Context: Benchmarking Privacy Leakage of Foundation Models in Synthetic Tabular Data Generation","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-06T15:04:00.802984Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2507.17066"},"observation_digest":"sha256:2b62c62e2d5d632c0238c48705b1c18accd610d697ed3b3f9e3f1a12b947fd9f","observation_id":"c7b17d21-f77c-4a21-aed7-966dadeedde9","resolution":{"observed_at":"2026-08-06T15:04:00.802984Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-08-03T08:15:21.447169Z","title":"Epic: Effective prompting for imbalanced-class data synthesis in tabular data classification via large language models, 2025","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2601.17717","last_updated":"2026-06-09T20:25:14Z","snapshot_observed_at":"2026-08-17T20:18:47.174609Z","submitted_at":"2026-01-25T06:40:25Z","title":"A Survey on Evaluating Quality and Trustworthiness in LLM-Generated Data","version":3},"reference_index":101,"source":"arxiv_source","source_observed_at":"2026-08-03T08:15:21.447169Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2601.17717"},"observation_digest":"sha256:09bb49fc8ba51c07604faa972774cb6d68d10d51d4a9372dd35a4506f61ec4f9","observation_id":"24c64600-ae49-4392-812c-0d7c6e7c0cb0","resolution":{"observed_at":"2026-08-03T08:15:21.447169Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models","version":4},"cited_work":{"arxiv_id":"2404.12404","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2404.12404","snapshot_observed_at":"2026-07-03T10:07:56.187134Z","title":null,"venue":null,"work_id":"a759e807-737d-4cd4-b9b1-998874abb572","year":2025},"citing_paper":{"arxiv_id":"2606.11961","last_updated":"2026-06-10T11:41:13Z","snapshot_observed_at":"2026-08-17T18:59:17.249947Z","submitted_at":"2026-06-10T11:41:13Z","title":"Categorical Prior Lock-in: Why In-Context Learning Fails for Structured Data","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-06-27T10:14:07.904158Z"},"links":{"cited_paper":"/paper/2404.12404","citing_paper":"/paper/2606.11961"},"observation_digest":"sha256:f10527df67b8e0a6d1c56f3697dd19de4e7f00c7c165940c38237b85f0c41ff9","observation_id":"920334d1-0453-47a5-9336-6c849da95d25","resolution":{"observed_at":"2026-07-03T10:07:56.188299Z","resolver_source":"arxiv_id","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"}}],"links":{"evidence":"/evidence","html":"/paper/2404.12404/citation-record","integrity":"/paper/2404.12404/integrity","json":"/paper/2404.12404/citation-record.json","paper":"/paper/2404.12404"},"outbound":[],"paper":{"arxiv_id":"2404.12404","last_updated":"2025-01-14T01:41:21Z","latest_version":4,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-16T14:00:44.562468Z","submitted_at":"2024-04-15T17:49:16Z","title":"EPIC: Effective Prompting for Imbalanced-Class Data Synthesis in Tabular Data Classification via Large Language Models"},"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 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2404.12404."}