{"as_of":"2026-08-10T11:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:e136aca4fe41d862866e17f960a7cea5aa2f0321993ce2ed158e86776b19a4e6","coverage":[{"denominator":36,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":36,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T05:43:50.670099Z","state":"measured"},{"denominator":36,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":36,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-10T06:31:04.303077+00:00","state":"measured"},{"denominator":0,"lane":"inbound_itemization","note":"Pith citing papers itemized under the disclosed page cap.","records_observed":0,"source":"paper_references, paper_reference_links","source_observed_at":null,"state":"measured"},{"denominator":1,"lane":"external_citation_measurements","note":"A source-named dated measurement, never combined with another source.","records_observed":0,"source":"cited_works","source_observed_at":null,"state":"measured"}],"external_citation_measurements":[],"inbound":[],"links":{"evidence":"/evidence","html":"/paper/2506.07245/citation-record","integrity":"/paper/2506.07245/integrity","json":"/paper/2506.07245/citation-record.json","paper":"/paper/2506.07245"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2111.00653","last_updated":"2022-01-17T13:04:31Z","snapshot_observed_at":"2026-08-02T03:13:07.795125Z","submitted_at":"2021-11-01T01:50:28Z","title":"SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL","version":3},"cited_work":{"arxiv_id":"2111.00653","doi":null,"metadata_source":"pith","pith_arxiv_id":"2111.00653","snapshot_observed_at":"2026-08-07T05:43:52.459986Z","title":"SADGA: Structure-Aware Dual Graph Aggregation Network for Text-to-SQL","venue":"cs.CL","work_id":"f2cbfd35-6409-4bfe-8396-0a356c4844fb","year":2021},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:45.517648Z"},"links":{"cited_paper":"/paper/2111.00653","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:701a42fe2c216d04fe17d7de78712eb2399f30035300eee8269370dfaa2c8192","observation_id":"fb46711c-a81c-4523-941f-6b64201dc113","resolution":{"observed_at":"2026-08-07T05:43:52.598812Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2106.01093","last_updated":"2021-06-10T02:49:10Z","snapshot_observed_at":"2026-08-09T05:56:09.114187Z","submitted_at":"2021-06-02T11:53:35Z","title":"LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2106.01093","snapshot_observed_at":"2026-08-07T05:43:45.600857Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:45.600857Z"},"links":{"cited_paper":"/paper/2106.01093","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:62f0fe725ce33a250ea2cde032b29a37f00063a0f408c01b654da5d241831fa2","observation_id":"2147b60e-64c0-4d16-842e-3ba62bb5a94f","resolution":{"observed_at":"2026-08-07T05:43:45.600857Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.06674","last_updated":"2024-05-04T15:40:17Z","snapshot_observed_at":"2026-07-06T18:12:47.499337Z","submitted_at":"2024-05-04T15:40:17Z","title":"Open-SQL Framework: Enhancing Text-to-SQL on Open-source Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.06674","snapshot_observed_at":"2026-08-07T05:43:45.716773Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:45.716773Z"},"links":{"cited_paper":"/paper/2405.06674","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:e3e0fe97cb16c0f4b67be4f027989ce8a8a7fe045b04228d080a66db8c437b20","observation_id":"e09d43cc-907d-48a4-add6-bf6d58e59244","resolution":{"observed_at":"2026-08-07T05:43:45.716773Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2004.03125","last_updated":"2020-04-07T04:51:04Z","snapshot_observed_at":"2026-08-09T10:30:30.423675Z","submitted_at":"2020-04-07T04:51:04Z","title":"RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases","version":1},"cited_work":{"arxiv_id":"2004.03125","doi":null,"metadata_source":"pith","pith_arxiv_id":"2004.03125","snapshot_observed_at":"2026-08-07T05:43:52.064864Z","title":"RYANSQL: Recursively Applying Sketch-based Slot Fillings for Complex Text-to-SQL in Cross-Domain Databases","venue":"cs.CL","work_id":"bdcb2042-7665-4678-bd45-76fdc688a78a","year":2020},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:45.893225Z"},"links":{"cited_paper":"/paper/2004.03125","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:9861d8faff117d926607465352853137c7d47c20f332301d3357569a307aed13","observation_id":"a9baf11e-862d-422a-9ce5-2968008e9b91","resolution":{"observed_at":"2026-08-07T05:43:52.214881Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2308.15363","last_updated":"2023-11-20T13:59:16Z","snapshot_observed_at":"2026-08-09T16:33:11.662686Z","submitted_at":"2023-08-29T14:59:54Z","title":"Text-to-SQL Empowered by Large Language Models: A Benchmark Evaluation","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2308.15363","snapshot_observed_at":"2026-08-07T05:43:46.077389Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.077389Z"},"links":{"cited_paper":"/paper/2308.15363","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:cdb2cdabade56f36cff0a46cb1d5953116da41283344f38b202cc288c006bc4e","observation_id":"fb79ec98-ce90-4fcb-ac0d-ab8696f6a7f6","resolution":{"observed_at":"2026-08-07T05:43:46.077389Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.08599","last_updated":"2025-02-10T10:28:55Z","snapshot_observed_at":"2026-07-06T19:49:44.167865Z","submitted_at":"2024-11-13T13:30:21Z","title":"A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.08599","snapshot_observed_at":"2026-08-07T05:43:46.260991Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.260991Z"},"links":{"cited_paper":"/paper/2411.08599","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:01a31779f5db87d1f3495f4d4ed5eeeb43e02145f867f2118ce2efc21a1294c0","observation_id":"3123b1a7-d225-40a4-92f3-e8e92609cfd7","resolution":{"observed_at":"2026-08-07T05:43:46.260991Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1905.08205","last_updated":"2019-05-29T02:50:00Z","snapshot_observed_at":"2026-08-07T07:07:12.547469Z","submitted_at":"2019-05-20T16:44:00Z","title":"Towards Complex Text-to-SQL in Cross-Domain Database with Intermediate Representation","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1905.08205","snapshot_observed_at":"2026-08-07T05:43:46.422364Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.422364Z"},"links":{"cited_paper":"/paper/1905.08205","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:7016409ac022a6fa5f5167084a2f865aa098bdf6614079a6351fbe809c563447","observation_id":"f1f2f424-aeba-40a7-8b0c-d9b209452c1c","resolution":{"observed_at":"2026-08-07T05:43:46.422364Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.11517","last_updated":"2024-06-06T13:56:59Z","snapshot_observed_at":"2026-08-10T01:45:33.924833Z","submitted_at":"2024-02-18T09:10:04Z","title":"Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.11517","snapshot_observed_at":"2026-08-07T05:43:46.544233Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.544233Z"},"links":{"cited_paper":"/paper/2402.11517","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:f68d1a66576e6e7092a7549f96ce0bd3939cc4845087005ef7963ecd6320a72e","observation_id":"6a7af6fb-cf5b-4c9c-aecf-29fdd2fb61f0","resolution":{"observed_at":"2026-08-07T05:43:46.544233Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2103.04399","last_updated":"2021-12-10T06:53:07Z","snapshot_observed_at":"2026-08-10T04:22:55.383033Z","submitted_at":"2021-03-07T16:56:56Z","title":"Improving Text-to-SQL with Schema Dependency Learning","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2103.04399","snapshot_observed_at":"2026-08-07T05:43:46.696618Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.696618Z"},"links":{"cited_paper":"/paper/2103.04399","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:11f123d5fbaa838905d5c320838964e220b1392368a1e47dc02e1a929e8dc66a","observation_id":"70812fef-8bd9-4196-b7ec-ce6d129d8e22","resolution":{"observed_at":"2026-08-07T05:43:46.696618Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1902.01069","last_updated":"2019-11-11T04:48:46Z","snapshot_observed_at":"2026-08-05T16:02:27.279711Z","submitted_at":"2019-02-04T07:55:47Z","title":"A Comprehensive Exploration on WikiSQL with Table-Aware Word Contextualization","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1902.01069","snapshot_observed_at":"2026-08-07T05:43:46.801794Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.801794Z"},"links":{"cited_paper":"/paper/1902.01069","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:28e18847e2abcdad151129b622b793d3d9a10420d845dc8389f0d367ebd005b3","observation_id":"bdf22a74-0798-4ba7-aaf4-e5c63cbbb03a","resolution":{"observed_at":"2026-08-07T05:43:46.801794Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.07467","last_updated":"2024-05-13T04:59:32Z","snapshot_observed_at":"2026-07-06T18:13:20.536375Z","submitted_at":"2024-05-13T04:59:32Z","title":"MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.07467","snapshot_observed_at":"2026-08-07T05:43:46.984628Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:46.984628Z"},"links":{"cited_paper":"/paper/2405.07467","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:d27039f15ce684f0b85f54c7026b2fc2edc3c4239875d6f6e589aac9f99a61a8","observation_id":"0c18eb8e-a45e-4295-8454-4fdc4edecebc","resolution":{"observed_at":"2026-08-07T05:43:46.984628Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2411.07763","last_updated":"2025-03-17T16:10:45Z","snapshot_observed_at":"2026-08-07T16:58:54.121727Z","submitted_at":"2024-11-12T12:52:17Z","title":"Spider 2.0: Evaluating Language Models on Real-World Enterprise Text-to-SQL Workflows","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2411.07763","snapshot_observed_at":"2026-08-07T05:43:47.133873Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.133873Z"},"links":{"cited_paper":"/paper/2411.07763","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:31aadd096e955d055d18b55f5bfc87841c61941c03fc01489bca8e85547d3889","observation_id":"a4187268-02c4-45bb-9d82-da1cc7482c43","resolution":{"observed_at":"2026-08-07T05:43:47.133873Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.16347","last_updated":"2024-02-26T07:00:58Z","snapshot_observed_at":"2026-08-09T17:03:24.894358Z","submitted_at":"2024-02-26T07:00:58Z","title":"CodeS: Towards Building Open-source Language Models for Text-to-SQL","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.16347","snapshot_observed_at":"2026-08-07T05:43:47.261026Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.261026Z"},"links":{"cited_paper":"/paper/2402.16347","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:366829b60e2adf27a262697711d69d69bee4b3546c3b3ca118c2cd0a90742d5c","observation_id":"983ad3fe-3921-476b-9c1a-760c3648f354","resolution":{"observed_at":"2026-08-07T05:43:47.261026Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03111","last_updated":"2023-11-15T04:56:25Z","snapshot_observed_at":"2026-07-06T15:23:29.240615Z","submitted_at":"2023-05-04T19:02:29Z","title":"Can LLM Already Serve as A Database Interface? A BIg Bench for Large-Scale Database Grounded Text-to-SQLs","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.03111","snapshot_observed_at":"2026-08-07T05:43:47.425068Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.425068Z"},"links":{"cited_paper":"/paper/2305.03111","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:76e0c6e2005ed53a8b058f83a7819c86e5849df03ad66088ed9653e471520f1c","observation_id":"949702dd-fab4-4141-89de-707dcdaae9f6","resolution":{"observed_at":"2026-08-07T05:43:47.425068Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11556","last_updated":"2023-04-23T06:52:35Z","snapshot_observed_at":"2026-07-06T15:18:53.532946Z","submitted_at":"2023-04-23T06:52:35Z","title":"Divide and Prompt: Chain of Thought Prompting for Text-to-SQL","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.11556","snapshot_observed_at":"2026-08-07T05:43:47.530614Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.530614Z"},"links":{"cited_paper":"/paper/2304.11556","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:2e6e2956a9ba3628ddbdb834e18837baae9f82eb1b6d8a113b0c7d7c5466b3bc","observation_id":"6de1c4c0-88ab-44b9-b94d-bbf5f4460811","resolution":{"observed_at":"2026-08-07T05:43:47.530614Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.21276","last_updated":"2024-10-25T17:43:01Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2024-10-25T17:43:01Z","title":"GPT-4o System Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.21276","snapshot_observed_at":"2026-08-07T05:43:47.711471Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.711471Z"},"links":{"cited_paper":"/paper/2410.21276","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:69c4c043b14141af00ebf2820ac6978d78fde02a5fe69027fc8a9b68004824d6","observation_id":"03d05ef6-520f-4612-9a92-166508a95908","resolution":{"observed_at":"2026-08-07T05:43:47.711471Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01943","last_updated":"2024-10-02T18:41:35Z","snapshot_observed_at":"2026-07-06T19:26:33.330434Z","submitted_at":"2024-10-02T18:41:35Z","title":"CHASE-SQL: Multi-Path Reasoning and Preference Optimized Candidate Selection in Text-to-SQL","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2410.01943","snapshot_observed_at":"2026-08-07T05:43:47.844013Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:47.844013Z"},"links":{"cited_paper":"/paper/2410.01943","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:07a4076d130fffd7cdccedb8650d0baadb2aa5fff4d9ad14a22dec7c2fbc4078","observation_id":"6b1a1cd7-98be-4ba8-b8a8-5ad49a8b17d0","resolution":{"observed_at":"2026-08-07T05:43:47.844013Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2304.11015","last_updated":"2023-11-02T20:30:12Z","snapshot_observed_at":"2026-08-09T10:43:29.864285Z","submitted_at":"2023-04-21T15:02:18Z","title":"DIN-SQL: Decomposed In-Context Learning of Text-to-SQL with Self-Correction","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.11015","snapshot_observed_at":"2026-08-07T05:43:48.023831Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.023831Z"},"links":{"cited_paper":"/paper/2304.11015","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:0d8461a92919aa290abcb9fe5f5d1c937f0c0fa9eab048db7aad2c5b964802f3","observation_id":"8883a1b2-8dad-4e82-95f2-764044e9d279","resolution":{"observed_at":"2026-08-07T05:43:48.023831Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2402.01117","last_updated":"2024-02-02T03:21:00Z","snapshot_observed_at":"2026-08-05T04:26:45.579670Z","submitted_at":"2024-02-02T03:21:00Z","title":"DTS-SQL: Decomposed Text-to-SQL with Small Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2402.01117","snapshot_observed_at":"2026-08-07T05:43:48.112832Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.112832Z"},"links":{"cited_paper":"/paper/2402.01117","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:55c368db8d39f3b45dbcea30d25bcdc7aa1f58203eb6a82cd301c075e404898c","observation_id":"4d6d5eb6-ddc9-4405-9e83-b930558823ca","resolution":{"observed_at":"2026-08-07T05:43:48.112832Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.12733","last_updated":"2024-10-02T18:19:15Z","snapshot_observed_at":"2026-08-03T14:39:50.118256Z","submitted_at":"2024-08-22T20:50:48Z","title":"SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.12733","snapshot_observed_at":"2026-08-07T05:43:48.271709Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.271709Z"},"links":{"cited_paper":"/paper/2408.12733","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:c6fd8394a20447ee7e9f75c3f01bf1cd0ca9b510c911b00b2f3c580a436c0647","observation_id":"3fee2182-aad9-4283-a62b-cca229ba034a","resolution":{"observed_at":"2026-08-07T05:43:48.271709Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2204.00498","last_updated":"2022-03-15T17:23:53Z","snapshot_observed_at":"2026-08-09T07:44:01.503456Z","submitted_at":"2022-03-15T17:23:53Z","title":"Evaluating the Text-to-SQL Capabilities of Large Language Models","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2204.00498","snapshot_observed_at":"2026-08-07T05:43:48.389620Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.389620Z"},"links":{"cited_paper":"/paper/2204.00498","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:11d07ac27848e1a4a8b7582c8f4c241509c79704e455de747e5602551dfabdb7","observation_id":"c73f30ac-9cb6-4c0b-8076-737b163ac0eb","resolution":{"observed_at":"2026-08-07T05:43:48.389620Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:43:48.555082Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.555082Z"},"links":{"citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:5e9d681fae443a0383209a09b6dfaab487d74645b9da34fbd3cfadb766f4f1a4","observation_id":"f2f095c1-602f-4359-8c5b-cee405fecc16","resolution":{"observed_at":"2026-08-07T05:43:48.555082Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.00739","last_updated":"2024-03-30T17:22:44Z","snapshot_observed_at":"2026-07-06T15:36:37.380930Z","submitted_at":"2023-05-26T21:39:05Z","title":"SQL-PaLM: Improved Large Language Model Adaptation for Text-to-SQL (extended)","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.00739","snapshot_observed_at":"2026-08-07T05:43:48.666087Z","title":"Arik, Alex Muzio, Lesly Miculicich, Satya Gundabathula, Pengcheng Yin, Hanjun Dai, Hootan Nakhost, Rajarishi Sinha, Zifeng Wang, and Tomas Pfister","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.666087Z"},"links":{"cited_paper":"/paper/2306.00739","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:d92110903719ebef0b1ac6be8be9700e7e4d35fadc22e5c36cd520fd75d182ee","observation_id":"a4e84391-0c72-4bc6-8269-540fb7a50a4e","resolution":{"observed_at":"2026-08-07T05:43:48.666087Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.14215","last_updated":"2023-10-27T15:21:38Z","snapshot_observed_at":"2026-07-06T15:31:36.425535Z","submitted_at":"2023-05-23T16:32:36Z","title":"Exploring Chain-of-Thought Style Prompting for Text-to-SQL","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.14215","snapshot_observed_at":"2026-08-07T05:43:48.836906Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:48.836906Z"},"links":{"cited_paper":"/paper/2305.14215","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:f140f6f1a64aad71db22c3f6c7261fbed1cb7e0ea45a4808d322b6a98c678958","observation_id":"d7b991e0-06fe-449a-b10c-40821a66caad","resolution":{"observed_at":"2026-08-07T05:43:48.836906Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2405.16755","last_updated":"2024-11-25T19:43:07Z","snapshot_observed_at":"2026-08-10T00:32:43.432521Z","submitted_at":"2024-05-27T01:54:16Z","title":"CHESS: Contextual Harnessing for Efficient SQL Synthesis","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2405.16755","snapshot_observed_at":"2026-08-07T05:43:49.001095Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.001095Z"},"links":{"cited_paper":"/paper/2405.16755","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:0ab81ef5b00df1bf6b9d94a40b491b51c660b52d017036c539eb917f820847de","observation_id":"70c46b0d-7a22-4b98-a52a-294fe5c1c578","resolution":{"observed_at":"2026-08-07T05:43:49.001095Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:43:53.125521Z","title":null,"venue":null,"work_id":"a0cc3fbf-91ac-4161-abc9-4b78f017ba29","year":2020},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.157004Z"},"links":{"citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:d7ab90fc0564177fe39a979198ac7a914cedd3253ee31ebe835977b495dc4d45","observation_id":"446da94a-2a78-44b3-8601-04535ebbe310","resolution":{"observed_at":"2026-08-07T05:43:53.294678Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11242","last_updated":"2025-03-18T02:12:21Z","snapshot_observed_at":"2026-07-06T17:04:37.751364Z","submitted_at":"2023-12-18T14:40:20Z","title":"MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11242","snapshot_observed_at":"2026-08-07T05:43:49.320769Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.320769Z"},"links":{"cited_paper":"/paper/2312.11242","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:1f07f91e9d58b98c75468d367e5e7f93d859e633184bfd5a77c6e4405dfc2ace","observation_id":"dd239da5-060d-4948-8b34-e9b970570abd","resolution":{"observed_at":"2026-08-07T05:43:49.320769Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2201.11903","last_updated":"2023-01-10T23:07:57Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2022-01-28T02:33:07Z","title":"Chain-of-Thought Prompting Elicits Reasoning in Large Language Models","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2201.11903","snapshot_observed_at":"2026-08-07T05:43:49.445120Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":28,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.445120Z"},"links":{"cited_paper":"/paper/2201.11903","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:505d75655a88bb93ff39c2f9d11ec8cef70412eba4dd06ed7d0d2f6f903652a8","observation_id":"72624989-fb8c-4200-9d9e-d21ca01b48f4","resolution":{"observed_at":"2026-08-07T05:43:49.445120Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2408.07930","last_updated":"2024-11-07T03:37:51Z","snapshot_observed_at":"2026-08-09T06:35:21.322645Z","submitted_at":"2024-08-15T04:57:55Z","title":"MAG-SQL: Multi-Agent Generative Approach with Soft Schema Linking and Iterative Sub-SQL Refinement for Text-to-SQL","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2408.07930","snapshot_observed_at":"2026-08-07T05:43:49.622152Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":29,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.622152Z"},"links":{"cited_paper":"/paper/2408.07930","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:3a6535fda39c68f6c50c5e5964de3d33245bb764a6095bde7ab20d3b59578d7e","observation_id":"98d67c5e-3550-4ee1-a5cf-6b7af737efb7","resolution":{"observed_at":"2026-08-07T05:43:49.622152Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1711.04436","last_updated":"2017-11-13T06:41:29Z","snapshot_observed_at":"2026-07-06T06:09:05.613678Z","submitted_at":"2017-11-13T06:41:29Z","title":"SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1711.04436","snapshot_observed_at":"2026-08-07T05:43:49.811096Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":30,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.811096Z"},"links":{"cited_paper":"/paper/1711.04436","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:228a5936017649cdff24d76e5129b7d77c23e49866b24441cc95f8ea2a8ee1bf","observation_id":"b7348c48-7ebd-4ad0-ac8a-d82484970bd1","resolution":{"observed_at":"2026-08-07T05:43:49.811096Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"1809.08887","last_updated":"2019-02-02T23:53:18Z","snapshot_observed_at":"2026-07-06T07:03:52.901427Z","submitted_at":"2018-09-24T13:03:13Z","title":"Spider: A Large-Scale Human-Labeled Dataset for Complex and Cross-Domain Semantic Parsing and Text-to-SQL Task","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1809.08887","snapshot_observed_at":"2026-08-07T05:43:49.960539Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":31,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:49.960539Z"},"links":{"cited_paper":"/paper/1809.08887","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:44bc0c1f528d336e016e07e32076960c4398ab2f10275a37bedfbdec561c329f","observation_id":"988110fe-a8ca-43ab-9aae-d3b1d1c02cf4","resolution":{"observed_at":"2026-08-07T05:43:49.960539Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:43:52.807297Z","title":"Zelle and Raymond J","venue":null,"work_id":"7de7df03-9e34-45c7-88e7-b982e50d849e","year":1996},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":32,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:50.100727Z"},"links":{"citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:1376a0c978033ee36d9234bf1bdb70c4f2c511c122a8282fa58c15fb988d7f21","observation_id":"6ab2f102-b8a2-4f3d-a806-43aceba7a236","resolution":{"observed_at":"2026-08-07T05:43:52.950758Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2405.02712","last_updated":"2024-05-04T16:56:14Z","snapshot_observed_at":"2026-07-06T18:09:51.117905Z","submitted_at":"2024-05-04T16:56:14Z","title":"CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions","version":1},"cited_work":{"arxiv_id":"2405.02712","doi":null,"metadata_source":"pith","pith_arxiv_id":"2405.02712","snapshot_observed_at":"2026-08-07T05:43:50.908175Z","title":"CoE-SQL: In-Context Learning for Multi-Turn Text-to-SQL with Chain-of-Editions","venue":"cs.CL","work_id":"e24b5b44-9b15-4f25-b02a-b47108eecf9f","year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":33,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:50.262356Z"},"links":{"cited_paper":"/paper/2405.02712","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:45ebe24c9fc2a2094089321dd65800ede9682bb772192b6f4788f40af8fb5b04","observation_id":"954a10c7-0c21-48eb-8136-0790d67d9ab1","resolution":{"observed_at":"2026-08-07T05:43:51.034351Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2407.14568","last_updated":"2024-07-19T06:01:57Z","snapshot_observed_at":"2026-08-06T05:55:51.455311Z","submitted_at":"2024-07-19T06:01:57Z","title":"SQLfuse: Enhancing Text-to-SQL Performance through Comprehensive LLM Synergy","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2407.14568","snapshot_observed_at":"2026-08-07T05:43:50.385334Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":34,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:50.385334Z"},"links":{"cited_paper":"/paper/2407.14568","citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:5ddef5a6dbe954cc92bbd61b4ff6b48ed955ddfae08608a651e5ac3c2f933f31","observation_id":"b7fd1806-0e7f-4412-9a69-0bf63414d52a","resolution":{"observed_at":"2026-08-07T05:43:50.385334Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:43:50.530030Z","title":"online\" 'onlinestring :=","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":35,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:50.530030Z"},"links":{"citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:1158a1303707a15b9897ee0c506c9b7be03e196206c73d0399a2dfcb0d55db33","observation_id":"d056311a-65da-4886-b060-253df6e0e37c","resolution":{"observed_at":"2026-08-07T05:43:50.530030Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T05:43:50.670099Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes","version":2},"reference_index":36,"source":"arxiv_source","source_observed_at":"2026-08-07T05:43:50.670099Z"},"links":{"citing_paper":"/paper/2506.07245"},"observation_digest":"sha256:1a54282707ecd132814fb93a36b2108a06b4de0f420b6516c89ab2005743d0c0","observation_id":"de8e5b4b-9ca7-4cd7-82ce-0fc08f5c8ce7","resolution":{"observed_at":"2026-08-07T05:43:50.670099Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.07245","last_updated":"2025-06-19T04:10:10Z","latest_version":2,"primary_category":"cs.CL","snapshot_observed_at":"2026-08-10T10:46:51.366900Z","submitted_at":"2025-06-08T18:01:26Z","title":"SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes"},"reference_resolution":{"displayed":36,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":32,"verified_exact":3,"verified_fuzzy":1},"total_outbound_references":36},"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":"2026-08-10T06:31:04.303077+00:00","source":"crossref"},{"observed_at":"2026-08-10T06:30:57.382061+00:00","source":"retraction_watch"}],"thesis":"As of 10 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2506.07245."}