{"as_of":"2026-08-08T23:38:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:2cf8a840eeb93cb380610200f211a0c937960ddff729209ab8835fb6c664422c","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":"2026-08-07T05:11:12.166593Z","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":"2026-05-23T08:22:44.110976Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":"2406.01326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InProceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2131–2153, Singapore","venue":null,"work_id":"237eb53a-92d0-49a8-a3fd-64e0dcb684b1","year":2024},"citing_paper":{"arxiv_id":"2412.04272","last_updated":"2026-04-13T04:41:02Z","snapshot_observed_at":"2026-07-06T20:02:17.096487Z","submitted_at":"2024-12-05T15:54:16Z","title":"PoTable: Towards Systematic Thinking via Plan-then-Execute Stage Reasoning on Tables","version":5},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-05-23T08:22:15.703394Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2412.04272"},"observation_digest":"sha256:2915574955e9faf9d1351221c150207c430c1d83765db9f939b7451ccc4d944f","observation_id":"74b70ea5-4dbc-4580-8cd6-e02dc0151695","resolution":{"observed_at":"2026-05-23T08:22:44.115221Z","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":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":"2406.01326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InProceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2131–2153, Singapore","venue":null,"work_id":"237eb53a-92d0-49a8-a3fd-64e0dcb684b1","year":2024},"citing_paper":{"arxiv_id":"2501.00321","last_updated":"2025-06-05T02:59:05Z","snapshot_observed_at":"2026-08-07T17:13:10.057242Z","submitted_at":"2024-12-31T07:32:35Z","title":"OCRBench v2: An Improved Benchmark for Evaluating Large Multimodal Models on Visual Text Localization and Reasoning","version":2},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-05-17T20:33:26.613927Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2501.00321"},"observation_digest":"sha256:48318cd0522403a1d344452384888bd5eee5795c64e633bda271ea37b3acb38e","observation_id":"c094f01d-c59d-4de8-b355-0e88f9ab39cc","resolution":{"observed_at":"2026-05-17T20:33:26.747153Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"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":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-08-07T05:11:12.166593Z","title":"Yilun Zhao, Linyong Nan, Zhenting Qi, Rui Zhang, and Dragomir Radev","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.08646","last_updated":"2025-06-10T09:57:59Z","snapshot_observed_at":"2026-08-07T05:03:16.604379Z","submitted_at":"2025-06-10T09:57:59Z","title":"TableDreamer: Progressive and Weakness-guided Data Synthesis from Scratch for Table Instruction Tuning","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-07T05:11:12.166593Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2506.08646"},"observation_digest":"sha256:e207d3d01b18c0bd3706baf1823deabae7e7925909220c961ada2c1dd5b2a94c","observation_id":"822dc48e-e607-490d-b794-f7272ddb2788","resolution":{"observed_at":"2026-08-07T05:11:12.166593Z","resolver_source":null,"status":"malformed_identifier"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-08-06T21:26:16.545110Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2507.00152","last_updated":"2025-06-30T18:04:36Z","snapshot_observed_at":"2026-08-08T00:40:32.050938Z","submitted_at":"2025-06-30T18:04:36Z","title":"Table Understanding and (Multimodal) LLMs: A Cross-Domain Case Study on Scientific vs. Non-Scientific Data","version":1},"reference_index":73,"source":"arxiv_source","source_observed_at":"2026-08-06T21:26:16.545110Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2507.00152"},"observation_digest":"sha256:fc32fd25e3095682ccc3cb9cfef30ff20e31b118aab38ba126201d0002e7595f","observation_id":"55d4cc19-528d-4b84-a93f-19b11fcde73a","resolution":{"observed_at":"2026-08-06T21:26:16.545110Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2406.01326","last_updated":"2024-10-11T14:38:40Z","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy","version":2},"cited_work":{"arxiv_id":"2406.01326","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2406.01326","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"InProceed- ings of the 2023 Conference on Empirical Methods in Natural Language Processing, pages 2131–2153, Singapore","venue":null,"work_id":"237eb53a-92d0-49a8-a3fd-64e0dcb684b1","year":2024},"citing_paper":{"arxiv_id":"2510.09671","last_updated":"2026-04-18T09:34:28Z","snapshot_observed_at":"2026-08-08T16:30:05.866004Z","submitted_at":"2025-10-08T14:56:03Z","title":"Table Question Answering in the Era of Large Language Models: A Comprehensive Survey of Tasks, Methods, and Evaluation","version":2},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-05-18T09:17:00.389716Z"},"links":{"cited_paper":"/paper/2406.01326","citing_paper":"/paper/2510.09671"},"observation_digest":"sha256:b6bdf1d0c9bfa7babd789d01e03c254d9222654635394e2a782c066586c2e47b","observation_id":"fd85d1c0-1608-4083-aba7-4bd1b0a5b46f","resolution":{"observed_at":"2026-05-18T09:21:10.695988Z","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"}}],"links":{"evidence":"/evidence","html":"/paper/2406.01326/citation-record","integrity":"/paper/2406.01326/integrity","json":"/paper/2406.01326/citation-record.json","paper":"/paper/2406.01326"},"outbound":[],"paper":{"arxiv_id":"2406.01326","last_updated":"2024-10-11T14:38:40Z","latest_version":2,"primary_category":"cs.CV","snapshot_observed_at":"2026-07-06T18:24:26.225262Z","submitted_at":"2024-06-03T13:54:05Z","title":"TabPedia: Towards Comprehensive Visual Table Understanding with Concept Synergy"},"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:2406.01326."}