{"as_of":"2026-08-09T19:09:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:dd66f37aa1248007b0fd0129b246a6c163451270de9a75e8d51b6fc60369416b","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":8,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":8,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-09T06:31:02.800959+00:00","state":"measured"},{"denominator":8,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":8,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T13:12:39.156992Z","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":"2026-05-23T02:42:25.910154Z","state":"measured"}],"external_citation_measurements":[],"inbound":[{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":"2303.13547","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability","venue":null,"work_id":"79555cd8-c8bd-4c09-94d5-94bd3f148b51","year":2023},"citing_paper":{"arxiv_id":"2502.12911","last_updated":"2026-04-22T11:59:20Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2025-02-18T14:53:45Z","title":"Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation","version":3},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-05-23T02:41:34.423951Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2502.12911"},"observation_digest":"sha256:9080beecdc7e302b4fad2e9045c6edd14327f21564173906513295da331cca31","observation_id":"93e433af-2c0a-4879-ba45-61fcba53cb09","resolution":{"observed_at":"2026-05-23T02:42:25.912658Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-08-07T13:12:39.156992Z","title":"A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2505.23838","last_updated":"2025-05-28T13:23:38Z","snapshot_observed_at":"2026-08-09T04:39:49.673472Z","submitted_at":"2025-05-28T13:23:38Z","title":"Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities","version":1},"reference_index":68,"source":"pdf_text","source_observed_at":"2026-08-07T13:12:39.156992Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2505.23838"},"observation_digest":"sha256:15e3966af6d8c0b5bbd7575ec099f0e4935b21f8d3ec8b210d39d2d7bde5ff06","observation_id":"835a28e2-9d43-4b79-ace8-44b8ae7a70ef","resolution":{"observed_at":"2026-08-07T13:12:39.156992Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-08-06T19:17:17.032293Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.06467","last_updated":"2025-07-09T00:59:49Z","snapshot_observed_at":"2026-08-07T01:19:45.464751Z","submitted_at":"2025-07-09T00:59:49Z","title":"Interactive Text-to-SQL via Expected Information Gain for Disambiguation","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-06T19:17:17.032293Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2507.06467"},"observation_digest":"sha256:1e7fb5fba2dd2d9afb46ab9086a0b3aff2eb8ea88a703be7b35c3c6022d83c36","observation_id":"c0a65bc9-b900-411a-b455-1d684b0852bf","resolution":{"observed_at":"2026-08-06T19:17:17.032293Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-08-06T10:47:55.100382Z","title":", author Hu, X","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2507.23429","last_updated":"2025-07-31T11:09:50Z","snapshot_observed_at":"2026-08-09T16:33:31.113132Z","submitted_at":"2025-07-31T11:09:50Z","title":"Chatting with your ERP: A Recipe","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-06T10:47:55.100382Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2507.23429"},"observation_digest":"sha256:440f458358beaf1a2b88cce814533702d882aa328707aaa4b7898d5f1196a410","observation_id":"d1ca81a7-3dc0-4da5-b55f-f7494beaf443","resolution":{"observed_at":"2026-08-06T10:47:55.100382Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-08-02T19:06:48.099188Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2603.03742","last_updated":"2026-06-23T11:30:41Z","snapshot_observed_at":"2026-08-09T10:23:18.535389Z","submitted_at":"2026-03-04T05:27:20Z","title":"ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement","version":2},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-02T19:06:48.099188Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2603.03742"},"observation_digest":"sha256:e42b98471dfe22c91d5eae084e46bda6d96779440cf192014f656a08b8c319ed","observation_id":"a146e758-c7e3-42dd-881c-977bef0a83c9","resolution":{"observed_at":"2026-08-02T19:06:48.099188Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":"2303.13547","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability","venue":null,"work_id":"79555cd8-c8bd-4c09-94d5-94bd3f148b51","year":2023},"citing_paper":{"arxiv_id":"2604.07041","last_updated":"2026-04-08T12:56:13Z","snapshot_observed_at":"2026-08-04T23:08:15.129807Z","submitted_at":"2026-04-08T12:56:13Z","title":"AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-05-10T17:09:46.385340Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2604.07041"},"observation_digest":"sha256:3992876cbbdcac30f6b3c1512a703dacbe791afeb4e67d5f89ef4c05f62ffcba","observation_id":"75fce454-beae-4009-a170-581dc239908b","resolution":{"observed_at":"2026-05-11T07:30:58.071928Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":"2303.13547","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability","venue":null,"work_id":"79555cd8-c8bd-4c09-94d5-94bd3f148b51","year":2023},"citing_paper":{"arxiv_id":"2604.22934","last_updated":"2026-04-24T18:12:14Z","snapshot_observed_at":"2026-07-06T23:09:14.698490Z","submitted_at":"2026-04-24T18:12:14Z","title":"PExA: Parallel Exploration Agent for Complex Text-to-SQL","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-05-08T11:55:14.452815Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2604.22934"},"observation_digest":"sha256:c4201f20bccb76c3900c1c5ab19d9d375e87b9125d586bf75aab2895df0bd1cf","observation_id":"15948e8c-6683-4404-ac95-850c3bf1bac3","resolution":{"observed_at":"2026-05-11T19:26:09.970441Z","resolver_source":"arxiv_id","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability","version":1},"cited_work":{"arxiv_id":"2303.13547","doi":null,"metadata_source":"arxiv_reference","pith_arxiv_id":"2303.13547","snapshot_observed_at":"2026-06-05T21:23:00.469572Z","title":"A comprehensive evaluation of chatgpt’s zero-shot text-to-sql capability","venue":null,"work_id":"79555cd8-c8bd-4c09-94d5-94bd3f148b51","year":2023},"citing_paper":{"arxiv_id":"2605.18766","last_updated":"2026-04-12T14:53:56Z","snapshot_observed_at":"2026-07-06T23:29:33.702647Z","submitted_at":"2026-04-12T14:53:56Z","title":"Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-05-21T01:07:54.061446Z"},"links":{"cited_paper":"/paper/2303.13547","citing_paper":"/paper/2605.18766"},"observation_digest":"sha256:c559ac2af697fbdddad39e2d74c05cd015a352a8aeba52fa9570b331eff7e459","observation_id":"5d0bb1d2-3534-409a-9d76-8c3abd05e125","resolution":{"observed_at":"2026-05-21T01:09:20.399161Z","resolver_source":"arxiv_id","status":"metadata_mismatch"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"state":"measured"}}],"links":{"evidence":"/evidence","html":"/paper/2303.13547/citation-record","integrity":"/paper/2303.13547/integrity","json":"/paper/2303.13547/citation-record.json","paper":"/paper/2303.13547"},"outbound":[],"paper":{"arxiv_id":"2303.13547","last_updated":"2023-03-12T04:22:01Z","latest_version":1,"primary_category":"cs.CL","snapshot_observed_at":"2026-07-06T15:07:18.636040Z","submitted_at":"2023-03-12T04:22:01Z","title":"A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability"},"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":"2026-08-09T06:31:02.800959+00:00","source":"crossref"},{"observed_at":"2026-08-09T06:30:57.326959+00:00","source":"retraction_watch"}],"thesis":"As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.13547."}