{"as_of":"2026-08-14T15:08:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:6d4ca1a729e2ae4c253c293239bf68f89d648c991fb9bf1e1645f8c51d54cda6","coverage":[{"denominator":65,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":65,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-11T20:41:27.231935Z","state":"measured"},{"denominator":65,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":65,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-14T06:32:32.682623+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/2608.09260/citation-record","integrity":"/paper/2608.09260/integrity","json":"/paper/2608.09260/citation-record.json","paper":"/paper/2608.09260"},"outbound":[{"citation":{"cited_paper":{"arxiv_id":"2508.10925","last_updated":"2025-08-08T19:24:38Z","snapshot_observed_at":"2026-08-14T02:46:12.121034Z","submitted_at":"2025-08-08T19:24:38Z","title":"gpt-oss-120b & gpt-oss-20b Model Card","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2508.10925","snapshot_observed_at":"2026-08-11T20:41:26.794932Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":1,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.794932Z"},"links":{"cited_paper":"/paper/2508.10925","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:cd0ea689ff08cf0751be51a01ca23e221a62b4f7d7af5103173020bb7ee64a20","observation_id":"6f3977fd-f725-4325-af06-cb93107dd28c","resolution":{"observed_at":"2026-08-11T20:41:26.794932Z","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":"2026-08-11T20:41:29.032789Z","title":null,"venue":null,"work_id":"5214508f-1c67-4867-973f-d6499187ebcf","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":2,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.802918Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:5c7d8aea4a498f8667f0fe844c1ae1ba305303f372fbb86be3434f35b6ec5d17","observation_id":"b17b0d2b-2384-42f6-a133-e63bae5998d6","resolution":{"observed_at":"2026-08-11T20:41:29.040093Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:29.008037Z","title":null,"venue":null,"work_id":"ea2a1396-caa8-4f40-afac-6545ee1c4c7c","year":2020},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":3,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.809485Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:534825ac3ef012be345ff7db4b99ee541fb3de178dfd16d215cc7550581363c2","observation_id":"bbaeb766-3fe6-471a-ab31-59c09b280503","resolution":{"observed_at":"2026-08-11T20:41:29.017842Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.989197Z","title":null,"venue":null,"work_id":"42a5a5f6-a704-41fa-b489-5c88f5713169","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":4,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.816443Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:9f1e1d919a2a32e82ac997a4758fb6ab26cd6b9008389c7c48038a43935ddb05","observation_id":"96759ef6-4f90-4fc3-a16f-e5b859720c22","resolution":{"observed_at":"2026-08-11T20:41:28.994497Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2307.07306","last_updated":"2023-07-14T12:30:41Z","snapshot_observed_at":"2026-08-13T10:55:31.776303Z","submitted_at":"2023-07-14T12:30:41Z","title":"C3: Zero-shot Text-to-SQL with ChatGPT","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2307.07306","snapshot_observed_at":"2026-08-11T20:41:26.831723Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":5,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.831723Z"},"links":{"cited_paper":"/paper/2307.07306","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:2131ebd450b09385b2902e6487faf1b11a53bf125db4aeab57eb40e47e6e36c9","observation_id":"ef46c9f3-3578-4f88-803d-438938e5bf4a","resolution":{"observed_at":"2026-08-11T20:41:26.831723Z","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":"2026-08-11T20:41:26.839080Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":6,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.839080Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:1fe12318048a44852898d50de0ea6f5ffb6728dfc734c74423ea60c7a4f4bbd9","observation_id":"d41b4025-ebb1-40f0-8400-fefc6f97b95c","resolution":{"observed_at":"2026-08-11T20:41:26.839080Z","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":"2026-08-11T20:41:26.848155Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":7,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.848155Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:8a0cb95ffe4dbb5fd378ec681b9aef6e07862a8f63bb199fb21d4fda0627ed20","observation_id":"5cf27830-408a-47d7-a385-3ce0e3d9ebdd","resolution":{"observed_at":"2026-08-11T20:41:26.848155Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2306.08891","last_updated":"2023-06-15T06:50:51Z","snapshot_observed_at":"2026-08-13T11:16:59.008632Z","submitted_at":"2023-06-15T06:50:51Z","title":"Interleaving Pre-Trained Language Models and Large Language Models for Zero-Shot NL2SQL Generation","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2306.08891","snapshot_observed_at":"2026-08-11T20:41:26.853680Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":8,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.853680Z"},"links":{"cited_paper":"/paper/2306.08891","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:52018ab3f40fbd8eb455bf29035e5d0130c3b6f85aae921885736d2c5828975b","observation_id":"21dc7ef7-44d7-4f6c-a459-efcf5e0a634b","resolution":{"observed_at":"2026-08-11T20:41:26.853680Z","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":"2026-08-11T20:41:26.859905Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":9,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.859905Z"},"links":{"cited_paper":"/paper/1905.08205","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:834cf302b1fc0be6b42b40baa47dddd553e35d4e0fb9ff47711bcd9fc2fe21d4","observation_id":"e68f36e1-4ef8-4fd1-a4df-1cde553c93da","resolution":{"observed_at":"2026-08-11T20:41:26.859905Z","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":"2026-08-11T20:41:28.969737Z","title":null,"venue":null,"work_id":"fa37f956-5fc7-410e-866d-264b4ccb7616","year":2003},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":10,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.866373Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:b5e62b9e2210c07284abb8a6e3df2dbb8e2f3486c9b48f131c07cb3e12f933e5","observation_id":"a7dcd02e-eadf-4a85-9b96-5bf76d06f9b1","resolution":{"observed_at":"2026-08-11T20:41:28.975617Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.949450Z","title":null,"venue":null,"work_id":"0d40de86-93db-4399-899b-aac229d236c7","year":2020},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":11,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.871865Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:c109d7c0c7c12a6d757946c58503081aba2211ca0ed3679b5ffa7ac6e85a4852","observation_id":"77ac56ed-2741-4b95-86a0-4611a49e6d5b","resolution":{"observed_at":"2026-08-11T20:41:28.955021Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.930655Z","title":null,"venue":null,"work_id":"e9a68a2c-5008-4648-8f14-f1f1b5ca2208","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":12,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.879345Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:184bcb8d576bcbae9459500b808744294952d5eb143212df5a9ef1c7e2f9a6b6","observation_id":"2353d9a9-53a3-4142-85e2-a83d1e990657","resolution":{"observed_at":"2026-08-11T20:41:28.936236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:26.885176Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":13,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.885176Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:5d2853afae3c9fc3df43860b2e1d7f945e8f55b354154317e8109cc52672893e","observation_id":"d4b0af4e-0844-4ebb-b2dc-b650b9ceb75e","resolution":{"observed_at":"2026-08-11T20:41:26.885176Z","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":"2026-08-11T20:41:26.891326Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":14,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.891326Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:712a6803a09cf9421084141395eac5e1e5e7f7f9a0e1814c2ca7fa8a989f8cdd","observation_id":"c5891abe-310a-4f45-8c47-eae8d0398f0e","resolution":{"observed_at":"2026-08-11T20:41:26.891326Z","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":"2026-08-11T20:41:28.880277Z","title":null,"venue":null,"work_id":"2be1d419-d74d-4f74-8dad-19214eeb55f5","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":15,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.897216Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:c50f5ee922285440551c59b05fe4600e8551048e4d1858e9898bde21f0244d94","observation_id":"39d88afc-8518-45f6-832d-c7877bb29170","resolution":{"observed_at":"2026-08-11T20:41:28.887107Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.857192Z","title":null,"venue":null,"work_id":"4c7a20de-6996-41e7-a967-11bc586c4a91","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":16,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.904655Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:f095a6e9a3011690287722978454f95545351a91b7bf303cefcd51f1926b637e","observation_id":"89a935bc-531e-4a54-8944-f922879cbca5","resolution":{"observed_at":"2026-08-11T20:41:28.863653Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:26.913342Z","title":"Jagadish","venue":null,"work_id":null,"year":2014},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":17,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.913342Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:a38b2ac0e3515bbf3512a047df6c85c924c7cbc271b3be014d46650f86c32553","observation_id":"d2429e5b-fdc2-4edf-8631-69f0e7bc54b9","resolution":{"observed_at":"2026-08-11T20:41:26.913342Z","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":"2026-08-11T20:41:28.838579Z","title":null,"venue":null,"work_id":"4038eafd-948e-4255-a131-5a19d08d275a","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":18,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.919495Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:75743b5724445038a29e5f965c1e99c2178a633a4a70ba0667e38fda1b40eb70","observation_id":"605fa401-1690-41a9-8b3f-ea6141176e2b","resolution":{"observed_at":"2026-08-11T20:41:28.844281Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.819093Z","title":null,"venue":null,"work_id":"e8df8c8b-38f6-47b2-9ee3-99b7ceb123f4","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":19,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.926423Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:f60db6e7e3925a7968ac29747a4f9f54b1c64b57c36012267a4038640603c3f5","observation_id":"6ccb7f43-8099-4185-90c4-4d12d2678d31","resolution":{"observed_at":"2026-08-11T20:41:28.825531Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2012.12627","last_updated":"2020-12-31T01:02:40Z","snapshot_observed_at":"2026-08-11T15:56:30.700875Z","submitted_at":"2020-12-23T12:33:52Z","title":"Bridging Textual and Tabular Data for Cross-Domain Text-to-SQL Semantic Parsing","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2012.12627","snapshot_observed_at":"2026-08-11T20:41:26.932607Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":20,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.932607Z"},"links":{"cited_paper":"/paper/2012.12627","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:aa84a1ccb684c241e1edd6cac83db92c2f7a193bef6ee4e664ea6226df10a346","observation_id":"95ae3a1e-4d37-4404-8e46-df43a4fbda88","resolution":{"observed_at":"2026-08-11T20:41:26.932607Z","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":"2026-08-11T20:41:28.799269Z","title":null,"venue":null,"work_id":"5c3a57fb-80b6-4fd0-8ccc-b31424788bd6","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":21,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.938766Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:20e5839ff72258713633e0ac2e323911e81c2c5337fb53e4782b113fa1efe61d","observation_id":"1032c3e3-d3ab-436b-8ddd-3f5573cf1df7","resolution":{"observed_at":"2026-08-11T20:41:28.805003Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.779648Z","title":null,"venue":null,"work_id":"45d43725-79fd-4b4b-8b9a-1c14b87eb5a2","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":22,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.944060Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:c14249b3e2e5dc44f6b8fcf7d231fb7833b8cc188b189583acb09cbb723ffffd","observation_id":"1336b1cc-9166-4915-95b0-73045b56d0c1","resolution":{"observed_at":"2026-08-11T20:41:28.786200Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.757183Z","title":null,"venue":null,"work_id":"9fe9fec5-ab9b-442d-b179-a760204333e2","year":2026},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":23,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.949738Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:32da4f22a035d452d88ce1aa2c47fc2028499ea20ce6dbccf689373acca43d41","observation_id":"e0891100-ce4f-4c23-930e-5790d7749528","resolution":{"observed_at":"2026-08-11T20:41:28.764159Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:26.955520Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":24,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.955520Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:3f0277af55fd95cb1b6c8f5e80e3235e53c7524fe1eb7e334a05f958efbbdaf0","observation_id":"7e22633f-4206-4123-bc9a-aa3c365b3b65","resolution":{"observed_at":"2026-08-11T20:41:26.955520Z","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":"2026-08-11T20:41:28.735954Z","title":null,"venue":null,"work_id":"3a9c0d6e-9690-4fd8-9639-ceb5b379be09","year":1977},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":25,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.961669Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:4a23aefb95f75813725e9ca100cb01ad73feec1b1c139f550ab2778a58870be6","observation_id":"89ef69f4-3638-4122-9367-dce8738aefcc","resolution":{"observed_at":"2026-08-11T20:41:28.742087Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.714908Z","title":null,"venue":null,"work_id":"5a48c0e8-ddb2-4519-aef0-62558785ccb4","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":26,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.967578Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:15160a8abbb5611d3353da000dc3fcbf9fc5fbb95edb02948bf60a84491ec9e2","observation_id":"617d829b-977b-43fc-85a4-70d243a99989","resolution":{"observed_at":"2026-08-11T20:41:28.720227Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.695307Z","title":null,"venue":null,"work_id":"59cf9ace-de3b-4413-90f0-c25bddcdfea0","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":27,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.973170Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:19cec43a378bfefffcfed26ee9077bc9fd61fbb85e1c3b2bb960bcdc6ad01b16","observation_id":"9a23270c-a1f6-45b7-ab73-bff702e14905","resolution":{"observed_at":"2026-08-11T20:41:28.701533Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.674809Z","title":null,"venue":null,"work_id":"bbc38d50-2869-4c21-8b83-2c21cf1bd086","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":28,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.979284Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:1d41e150739cfe7daaa920cc56cf0da31cd05917b1b64cb41ad46e2f4076250f","observation_id":"d6be6432-6ef7-4015-bd6a-2aa3d649bfc6","resolution":{"observed_at":"2026-08-11T20:41:28.680940Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.649161Z","title":null,"venue":null,"work_id":"13a0f60a-03d7-47fc-8b5e-a9491e908d4d","year":null},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":29,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.986023Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:b7094d20f4448249a990e339ebfa15eea99ea3d5d1590ac43c4aa69a957a2713","observation_id":"217d0998-634d-4d8a-ab31-c7b6321e958b","resolution":{"observed_at":"2026-08-11T20:41:28.658295Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:26.992016Z","title":null,"venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":30,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.992016Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:00d4cb7cca9ad8d79a7d8a421db93f597ff909a18f249bbe65f97ce827a9244d","observation_id":"5c6df84b-3f1e-4608-abb3-bce6fd7cf0d6","resolution":{"observed_at":"2026-08-11T20:41:26.992016Z","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":"2026-08-11T20:41:28.591675Z","title":null,"venue":null,"work_id":"c888674d-bce2-493a-a8ee-ed842720c6d3","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":31,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.007296Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:c403c982b2bf72ab4b20fef55c42b706b256cc569fa3708718a293c7e7a56389","observation_id":"040786fa-b33e-4607-a377-502c7f88eec6","resolution":{"observed_at":"2026-08-11T20:41:28.598706Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.566569Z","title":null,"venue":null,"work_id":"368d8a7d-573f-49f2-a1bc-fdfeb42b73d8","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":32,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.014201Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:8e9a4a754ee566fa127e68882f9a701d49076bb1c9df96779a4c5af9b01dd389","observation_id":"5e927862-644a-4677-b231-39d3af5f1500","resolution":{"observed_at":"2026-08-11T20:41:28.574136Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1908.10084","last_updated":"2019-08-27T08:50:17Z","snapshot_observed_at":"2026-08-14T05:02:11.716316Z","submitted_at":"2019-08-27T08:50:17Z","title":"Sentence-BERT: Sentence Embeddings using Siamese BERT-Networks","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1908.10084","snapshot_observed_at":"2026-08-11T20:41:27.020046Z","title":null,"venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":33,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.020046Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:bf64b20d9a4bbc515f57ba3394f7ea4c8e659c9a73a451c43e5dbf6662ae2baf","observation_id":"149e8a57-507f-4872-b6d1-a00c8c0f5acb","resolution":{"observed_at":"2026-08-11T20:41:27.020046Z","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":"2026-08-11T20:41:27.027250Z","title":"Sean Wang","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":34,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.027250Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:59034f5bb5affa79d771d4ceea05564e868ac4c731f10a399aff3b29323a6a84","observation_id":"3a31cc39-6cdc-46e1-9002-3cb5206c752d","resolution":{"observed_at":"2026-08-11T20:41:27.027250Z","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":"2026-08-11T20:41:27.034582Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":35,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.034582Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:e979e643f3d25f0c897fc756a5a14142e092c565d16caf50f09c44050a1a525f","observation_id":"a9661b29-979d-4360-9be4-4e777fd7fcfd","resolution":{"observed_at":"2026-08-11T20:41:27.034582Z","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":"2026-08-11T20:41:27.041604Z","title":"Mittal, and Fatma Özcan","venue":null,"work_id":null,"year":2016},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":36,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.041604Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:47418af8eb02b0fa290e4414c84ec566779ccf9289f385ce393ed920aed1c069","observation_id":"dc4a1d39-af6c-4287-9010-6194271c1ece","resolution":{"observed_at":"2026-08-11T20:41:27.041604Z","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":"2026-08-11T20:41:27.048090Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":37,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.048090Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:86ebd66623a367227246a20b90894098aae10b62a88a9559e18659b448f42905","observation_id":"fb51c527-036f-42b4-9a2a-65f61f4f911b","resolution":{"observed_at":"2026-08-11T20:41:27.048090Z","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":"2026-08-11T20:41:27.053702Z","title":null,"venue":null,"work_id":null,"year":2021},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":38,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.053702Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:0cd91ea2dd27e4403197104eed68cfa5bb8c59fdc6464edd8b6f46a2023c25a0","observation_id":"acf558a5-eb53-4f0b-80dc-f69eb888bc94","resolution":{"observed_at":"2026-08-11T20:41:27.053702Z","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":"2026-08-11T20:41:27.059921Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":39,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.059921Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:ddcfafdbddf9f3d61bfb0d1ebc696d7a67463fb75001984228441dc2207c7510","observation_id":"2f8fcc25-6bbc-4899-9d6f-3edebb989ebd","resolution":{"observed_at":"2026-08-11T20:41:27.059921Z","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":"2026-08-11T20:41:27.065535Z","title":null,"venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":40,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.065535Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:b68e291c23c081e3de5a06b5c358c1848a228d1a8defaa44ca330ccb3b39e750","observation_id":"178599ac-a275-4c0d-a6ef-a19e1b2360fa","resolution":{"observed_at":"2026-08-11T20:41:27.065535Z","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":"2026-08-11T20:41:27.071575Z","title":null,"venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":41,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.071575Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:a6f8b56b606eceeb4e55a5a4faa18c79d4c4cb57c32295c30606e4289fce3676","observation_id":"2fa3e284-d459-4986-b730-67d83b7ebd89","resolution":{"observed_at":"2026-08-11T20:41:27.071575Z","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":"2026-08-14T05:58:28.233874Z","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":"2026-08-11T20:41:27.078677Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":42,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.078677Z"},"links":{"cited_paper":"/paper/2405.16755","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:4e92b7edb3145a981525a5f23da6ae6b5dd4ac1572506808db69033b7b4125b1","observation_id":"ae1416fe-8001-4ef0-813c-950431c51475","resolution":{"observed_at":"2026-08-11T20:41:27.078677Z","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":"2026-08-11T20:41:28.543423Z","title":"2024.FastEmbed: Lightweight and Efficient Text Embedding Library","venue":null,"work_id":"3a66fc8c-8119-4fc9-bbc1-532185bccdaf","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":43,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.085819Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:f2c2a7546330b15f96436512431ca3479e3083ff85e87f46c6942a7b53a37437","observation_id":"39542a70-6354-4674-9be5-2e483bd55495","resolution":{"observed_at":"2026-08-11T20:41:28.551126Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.520612Z","title":null,"venue":null,"work_id":"e595fe8e-ffe0-479d-b15e-ff4f01e497ad","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":44,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.093292Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:8f38cbe89044581efd8cf448db172c35511e05d19270b5ee2f85f9bc4efcb992","observation_id":"e2804113-2000-4cfa-8fc1-e663709e70eb","resolution":{"observed_at":"2026-08-11T20:41:28.527106Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.499481Z","title":"2024.pgvecto.rs: High-performance Vector Search Extension for PostgreSQL","venue":null,"work_id":"ec54d669-a604-41e9-a80b-9737e344162c","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":45,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.099249Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:1cb392d52359f2d6edde5f2c17eb3448835d547ded8cc0c0f47f97541704d71f","observation_id":"da25f25e-901a-41ea-b703-d1886f120c6d","resolution":{"observed_at":"2026-08-11T20:41:28.506040Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.478915Z","title":"2024.PostgreSQL: The World’s Most Advanced Open Source Relational Database","venue":null,"work_id":"b7a6edb5-0c3e-428b-8c64-38642c7700e9","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":46,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.105217Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:c6ba1ac7229483a7430768707c5193c660ab3e3498b6a4593259cba7c0ba1497","observation_id":"3c794717-9b43-482e-8f44-185bf8c3a1a0","resolution":{"observed_at":"2026-08-11T20:41:28.486111Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:27.111367Z","title":null,"venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":47,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.111367Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:7025c5e75ae9ec0b873697e2bb1c36ba2bc4499b338ffe62b73175ae17425bd1","observation_id":"25ed1920-beac-48c6-b280-a3ded16d7c8a","resolution":{"observed_at":"2026-08-11T20:41:27.111367Z","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":"2026-08-11T20:41:28.445758Z","title":null,"venue":null,"work_id":"94b5e9c4-e8a8-481d-b114-c97ae598416d","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":48,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.119582Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:166cc5571c5f05c1221e97ce16d270f3c36fb09f7c170da6cfacc8fd8df91006","observation_id":"65da4b47-6e35-4065-b38c-6ac62f358720","resolution":{"observed_at":"2026-08-11T20:41:28.450722Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:27.126580Z","title":null,"venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":49,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.126580Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:eff664e52dcdbebbd3c639eb939ae38fc47c67a0fcfa335e6648bfcece08e268","observation_id":"20284263-1a3d-42bf-b72a-8ef58b057e68","resolution":{"observed_at":"2026-08-11T20:41:27.126580Z","resolver_source":null,"status":"malformed_identifier"},"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":"2026-08-11T20:41:28.424802Z","title":"Le, and Denny Zhou","venue":null,"work_id":"311e856e-479b-403f-8f64-33b18eb2fedb","year":2022},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":50,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.135454Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:7ee468802bc966de8cde5b8e4f483e329309f421253b0943e08ab469556494ae","observation_id":"2496fd00-137f-439e-b80b-9dfa518d57ad","resolution":{"observed_at":"2026-08-11T20:41:28.430467Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.404590Z","title":null,"venue":null,"work_id":"5519b8bd-86e5-448a-ade2-f8fd923a47f5","year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":51,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.144071Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:fb107782eac1d961883e0b33e1f1b9315c56a3676b9dec4c2f4e5ca4387677d9","observation_id":"e6af8143-abca-416f-8368-495d3a995eaf","resolution":{"observed_at":"2026-08-11T20:41:28.410668Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.385531Z","title":null,"venue":null,"work_id":"3ef42662-b194-49ff-a029-9fd1022e3de7","year":2025},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":52,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.150323Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:6a38e370981c69b5a0767ab296443b4c86d2223347849a1b9676fc79f28489df","observation_id":"c9f799f2-5020-4cc7-9d2c-71901f1e19ea","resolution":{"observed_at":"2026-08-11T20:41:28.391258Z","resolver_source":"raw_fallback","status":"malformed_identifier"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"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":"2026-08-11T20:41:27.156924Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":53,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.156924Z"},"links":{"cited_paper":"/paper/1711.04436","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:dfc619b41757552310902d0babc971ae132dfb22726380dace1cedc9da4bb5d4","observation_id":"6f974824-979f-4ee7-8ab1-03ac4e745873","resolution":{"observed_at":"2026-08-11T20:41:27.156924Z","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":"2026-08-11T20:41:28.362687Z","title":null,"venue":null,"work_id":"16c51b16-61cc-4dd3-976d-02bc3047fe2d","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":54,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.163761Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:0f0a604ba8006f4537db4d5e728bf317929ba2154fc89ecd5bb9bcb1e36047d9","observation_id":"fea84197-a9aa-4000-b0ac-84dcc353e5c8","resolution":{"observed_at":"2026-08-11T20:41:28.371236Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:27.169906Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":55,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.169906Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:2c8a3254eb540b2a8e1c346303817b0ded8c89bc8bd8f7917abbd63db4271be7","observation_id":"368356be-70d4-4631-9f3f-f9644c3c47ce","resolution":{"observed_at":"2026-08-11T20:41:27.169906Z","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":"2026-08-11T20:41:28.339379Z","title":null,"venue":null,"work_id":"ecd7ee2a-1aa0-4b15-b428-05d0118b28d8","year":2026},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":56,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.176068Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:8abe8b65d640cc1ceb7a6ecf73a810b779942035d3d0ded27d55712ce093df58","observation_id":"080a2cc0-046a-49a6-890b-0e92811739c6","resolution":{"observed_at":"2026-08-11T20:41:28.345775Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.316691Z","title":null,"venue":null,"work_id":"63e8c46e-cfd8-4cae-8539-715bf68a2656","year":2018},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":57,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.182052Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:908fced410c9c29c8fc5681bf1c7b7d545618f07778340c12a3d14c43e426f01","observation_id":"c4449606-844b-4d04-9564-dd569dd8990d","resolution":{"observed_at":"2026-08-11T20:41:28.323206Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.296492Z","title":null,"venue":null,"work_id":"6e540d8e-2d24-4790-b244-360cb8ac0d30","year":1996},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":58,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.187571Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:8945aec857f3ad2811b7535ee37bac116569c029ee2a11de9a9a3283710acb19","observation_id":"bd5111a8-b762-4b9b-9908-eb1b8c6ba22f","resolution":{"observed_at":"2026-08-11T20:41:28.302875Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.274360Z","title":null,"venue":null,"work_id":"a1b946c8-03dd-47d4-9b2c-c8d325a6dc5a","year":2023},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":59,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.193258Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:36c87e5c93f532de0d1c6eb7e3b253474ef670ee32079336d6d94978773cf63a","observation_id":"05e509d3-ea15-4c19-b015-1fd96a58d24c","resolution":{"observed_at":"2026-08-11T20:41:28.280591Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.254943Z","title":null,"venue":null,"work_id":"193bba7b-bcf1-447f-963f-1cfabe1953f9","year":1989},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":60,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.199227Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:2652b3ee595615c59b6ee1f832b90ada35794efcdba9523021fab6a08aa7451f","observation_id":"709ad889-7515-48ce-b924-0ad354544a67","resolution":{"observed_at":"2026-08-11T20:41:28.261085Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:27.208540Z","title":null,"venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":61,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.208540Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:fc46ab4703b659bc47851bde0fd6ec8c93b7b59bd2a2d5401bdbd40cbdf11c42","observation_id":"38b68bd7-0200-492a-9c8a-caf56001e652","resolution":{"observed_at":"2026-08-11T20:41:27.208540Z","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":"2026-08-11T20:41:28.213691Z","title":null,"venue":null,"work_id":"e15d1fcb-06ca-46c6-af0e-18e73cb890f7","year":2019},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":62,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.214108Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:90a71b5f2085da6bd2fda0a5aeb904019084f5314ac05fb16200873ab7d9e86c","observation_id":"9912529f-314f-46f9-846b-e91ae306bab3","resolution":{"observed_at":"2026-08-11T20:41:28.219938Z","resolver_source":"raw_fallback","status":"unresolved"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1709.00103","last_updated":"2017-11-09T23:06:14Z","snapshot_observed_at":"2026-08-03T05:45:09.122112Z","submitted_at":"2017-08-31T23:12:15Z","title":"Seq2SQL: Generating Structured Queries from Natural Language using Reinforcement Learning","version":7},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"1709.00103","snapshot_observed_at":"2026-08-11T20:41:27.225706Z","title":null,"venue":null,"work_id":null,"year":2017},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":63,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.225706Z"},"links":{"cited_paper":"/paper/1709.00103","citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:92e357c1563359383c92e0502421c861740a92cbbbc0f878911f62d277bd1c96","observation_id":"059a2887-4d9a-4832-bbc2-609c251001ac","resolution":{"observed_at":"2026-08-11T20:41:27.225706Z","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":"2026-08-11T20:41:28.190385Z","title":"Le, and Ed H","venue":null,"work_id":"242b1d60-842e-4022-a73e-ecb83497df66","year":2022},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":64,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:27.231935Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:4a35bad56df0f6f876b51d8f099c7b4049c49ed87d44a08282899cc71a4cc2c5","observation_id":"bcd0e1e6-756d-4476-9802-b970e2fe092e","resolution":{"observed_at":"2026-08-11T20:41:28.198057Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":"raw_reference","pith_arxiv_id":null,"snapshot_observed_at":"2026-08-11T20:41:28.612460Z","title":"https://openreview.net/forum?id=CvGqMD5OtX","venue":null,"work_id":"6c4275af-9879-4403-842c-40c5514994f4","year":null},"citing_paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL","version":1},"reference_index":2024,"source":"pdf_text","source_observed_at":"2026-08-11T20:41:26.998097Z"},"links":{"citing_paper":"/paper/2608.09260"},"observation_digest":"sha256:85459f767f29e57ae2d8ab1b7f1a741678e1ec76ef6dd869c55b9188e0b0f15e","observation_id":"23334574-3f0f-48fd-bd28-b24d5f5f7587","resolution":{"observed_at":"2026-08-11T20:41:28.618999Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"state":"measured"}}],"paper":{"arxiv_id":"2608.09260","last_updated":"2026-08-10T08:16:17Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-13T23:42:24.157294Z","submitted_at":"2026-08-10T08:16:17Z","title":"SafeQL: Search-based Refinement for Safe and Efficient LLM-based Text-to-SQL"},"reference_resolution":{"displayed":65,"state_counts":{"malformed_identifier":2,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":57,"verified_exact":0,"verified_fuzzy":6},"total_outbound_references":65},"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":"2026-08-14T06:32:32.682623+00:00","source":"crossref"},{"observed_at":"2026-08-14T06:32:18.44784+00:00","source":"retraction_watch"}],"thesis":"As of 14 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 0 inbound Pith citation observations for arXiv:2608.09260."}