{"as_of":"2026-08-08T02:26:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:af78f19770cb6576be09ebe8ed51b180503c5e71e0e8e116269434e5198209f9","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":4,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":4,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-07T06:34:17.273281+00:00","state":"measured"},{"denominator":4,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":4,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T10:18:43.335672Z","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":"2026-05-11T12:41:02.330682Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2105.02584","last_updated":"2021-05-06T11:15:16Z","snapshot_observed_at":"2026-07-06T11:06:51.715697Z","submitted_at":"2021-05-06T11:15:16Z","title":"TABBIE: Pretrained Representations of Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.02584","snapshot_observed_at":"2026-08-07T10:18:43.335672Z","title":"InProceedings of the 58th Annual Meet- ing of the Association for Computational Linguistics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.05746","last_updated":"2025-06-06T05:14:04Z","snapshot_observed_at":"2026-08-07T23:40:20.917612Z","submitted_at":"2025-06-06T05:14:04Z","title":"LLM-Symbolic Integration for Robust Temporal Tabular Reasoning","version":1},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T10:18:43.335672Z"},"links":{"cited_paper":"/paper/2105.02584","citing_paper":"/paper/2506.05746"},"observation_digest":"sha256:9aa252045b958342188fbac167ffc766c040fe201c3eaa1b89be6f1bfcd47fd2","observation_id":"7c532fd4-bce2-4c74-92fc-9734ded34867","resolution":{"observed_at":"2026-08-07T10:18:43.335672Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.02584","last_updated":"2021-05-06T11:15:16Z","snapshot_observed_at":"2026-07-06T11:06:51.715697Z","submitted_at":"2021-05-06T11:15:16Z","title":"TABBIE: Pretrained Representations of Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.02584","snapshot_observed_at":"2026-08-07T04:16:59.417059Z","title":"In Proceedings of the 58th Annual Meet- ing of the Association for Computational Linguistics","venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.11246","last_updated":"2025-08-07T19:32:35Z","snapshot_observed_at":"2026-08-07T04:09:36.805974Z","submitted_at":"2025-06-12T19:32:59Z","title":"No Universal Prompt: Unifying Reasoning through Adaptive Prompting for Temporal Table Reasoning","version":2},"reference_index":2020,"source":"pdf_text","source_observed_at":"2026-08-07T04:16:59.417059Z"},"links":{"cited_paper":"/paper/2105.02584","citing_paper":"/paper/2506.11246"},"observation_digest":"sha256:52234b921467fa1bd8d72b4e9a85b11e897c4bbeb82769b5e3bb6cef49de30bb","observation_id":"ac69d652-8ed9-44fb-891e-aa479cb39c70","resolution":{"observed_at":"2026-08-07T04:16:59.417059Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2105.02584","last_updated":"2021-05-06T11:15:16Z","snapshot_observed_at":"2026-07-06T11:06:51.715697Z","submitted_at":"2021-05-06T11:15:16Z","title":"TABBIE: Pretrained Representations of Tabular Data","version":1},"cited_work":{"arxiv_id":"2105.02584","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2105.02584","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"arXiv preprint arXiv:2105.02584 , year=","venue":null,"work_id":"2b326f75-057a-42f6-a6af-a8d88a0bae43","year":null},"citing_paper":{"arxiv_id":"2604.18939","last_updated":"2026-04-21T00:25:49Z","snapshot_observed_at":"2026-07-06T23:05:39.724237Z","submitted_at":"2026-04-21T00:25:49Z","title":"TabEmb: Joint Semantic-Structure Embedding for Table Annotation","version":1},"reference_index":149,"source":"arxiv_source","source_observed_at":"2026-05-10T03:18:46.913340Z"},"links":{"cited_paper":"/paper/2105.02584","citing_paper":"/paper/2604.18939"},"observation_digest":"sha256:d2d976ddb7509412060d6f7fcf54ab6479ef9a164c6c5af52925cc43b928918a","observation_id":"f5d1e6e5-6acd-40a3-9b9e-4149f04a3098","resolution":{"observed_at":"2026-05-11T12:41:02.332796Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2105.02584","last_updated":"2021-05-06T11:15:16Z","snapshot_observed_at":"2026-07-06T11:06:51.715697Z","submitted_at":"2021-05-06T11:15:16Z","title":"TABBIE: Pretrained Representations of Tabular Data","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2105.02584","snapshot_observed_at":"2026-08-07T00:25:19.368696Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.04421","last_updated":"2026-08-05T04:04:07Z","snapshot_observed_at":"2026-08-08T02:11:19.141612Z","submitted_at":"2026-08-05T04:04:07Z","title":"Generative Optimization for Incentivized Advertising with Global Level Constraints","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-07T00:25:19.368696Z"},"links":{"cited_paper":"/paper/2105.02584","citing_paper":"/paper/2608.04421"},"observation_digest":"sha256:231f01d779f1bb3f156fe807b791ba7f523b0773e7d98df2b5e8e154b69e1763","observation_id":"38494691-2223-4a0c-9007-610cfbe2dde5","resolution":{"observed_at":"2026-08-07T00:25:19.368696Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"links":{"evidence":"/evidence","html":"/paper/2105.02584/citation-record","integrity":"/paper/2105.02584/integrity","json":"/paper/2105.02584/citation-record.json","paper":"/paper/2105.02584"},"outbound":[],"paper":{"arxiv_id":"2105.02584","last_updated":"2021-05-06T11:15:16Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T11:06:51.715697Z","submitted_at":"2021-05-06T11:15:16Z","title":"TABBIE: Pretrained Representations of Tabular Data"},"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":"2026-08-07T06:34:17.273281+00:00","source":"crossref"},{"observed_at":"2026-08-07T06:34:11.927384+00:00","source":"retraction_watch"}],"thesis":"As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2105.02584."}