{"as_of":"2026-08-22T23:11:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:95af1b5314eab22304837999c1e76536f9ad3db7809943b16fc8ee669e3674ac","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":"2026-08-22T06:32:14.747728+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":"2026-05-23T01:05:38.969311Z","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":"2026-05-23T01:07:19.861948Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.17673","last_updated":"2024-06-25T16:03:50Z","snapshot_observed_at":"2026-08-17T14:21:15.840335Z","submitted_at":"2024-06-25T16:03:50Z","title":"LaTable: Towards Large Tabular Models","version":1},"cited_work":{"arxiv_id":"2406.17673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17673","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Latable: Towards large tabular models","venue":null,"work_id":"6f16d0ef-5211-4b00-b581-d7e3284d355e","year":null},"citing_paper":{"arxiv_id":"2503.02161","last_updated":"2026-05-17T15:49:06Z","snapshot_observed_at":"2026-08-17T18:39:27.240528Z","submitted_at":"2025-03-04T00:47:52Z","title":"LLM-TabLogic: Preserving Inter-Column Logical Relationships in Synthetic Tabular Data via Prompt-Guided Latent Diffusion","version":3},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-05-23T01:05:38.969311Z"},"links":{"cited_paper":"/paper/2406.17673","citing_paper":"/paper/2503.02161"},"observation_digest":"sha256:ddaf2af656f340d7aed4fe90af0a54542ac2c18b451b2b2bd4c122357a2f4388","observation_id":"c77065b9-1774-4f5d-979f-271685082ff9","resolution":{"observed_at":"2026-05-23T01:07:19.865275Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2406.17673","last_updated":"2024-06-25T16:03:50Z","snapshot_observed_at":"2026-08-17T14:21:15.840335Z","submitted_at":"2024-06-25T16:03:50Z","title":"LaTable: Towards Large Tabular Models","version":1},"cited_work":{"arxiv_id":"2406.17673","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.17673","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"Latable: Towards large tabular models","venue":null,"work_id":"6f16d0ef-5211-4b00-b581-d7e3284d355e","year":null},"citing_paper":{"arxiv_id":"2604.18966","last_updated":"2026-05-17T12:00:22Z","snapshot_observed_at":"2026-08-16T15:11:03.089989Z","submitted_at":"2026-04-21T01:29:52Z","title":"Self-Improving Tabular Language Models via Iterative Reward-Guided Post-Training","version":1},"reference_index":72,"source":"arxiv_source","source_observed_at":"2026-05-10T03:04:54.146481Z"},"links":{"cited_paper":"/paper/2406.17673","citing_paper":"/paper/2604.18966"},"observation_digest":"sha256:148ff9e28f292a6eefa54aa4142bc56d01ee1b578c0800f98295f496a5382714","observation_id":"c32627b7-a89d-4553-a849-39110ffd132a","resolution":{"observed_at":"2026-05-11T12:46:03.750213Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2406.17673/citation-record","integrity":"/paper/2406.17673/integrity","json":"/paper/2406.17673/citation-record.json","paper":"/paper/2406.17673"},"outbound":[],"paper":{"arxiv_id":"2406.17673","last_updated":"2024-06-25T16:03:50Z","latest_version":1,"primary_category":"cs.LG","snapshot_observed_at":"2026-08-17T14:21:15.840335Z","submitted_at":"2024-06-25T16:03:50Z","title":"LaTable: Towards Large Tabular 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":"2026-08-22T06:32:14.747728+00:00","source":"crossref"},{"observed_at":"2026-08-22T06:32:06.552537+00:00","source":"retraction_watch"}],"thesis":"As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.17673."}