{"as_of":"2026-08-17T21:36:00Z","caps":{"database_statements":6,"inbound":100,"outbound":100},"context_digest":"sha256:8a477cca1d0d3dab0d99baa856b4736fcf79cffdba54152c26b53cab375940f3","coverage":[{"denominator":27,"lane":"reference_resolution","note":"Typed states for the displayed outbound observations.","records_observed":27,"source":"paper_references, paper_reference_links","source_observed_at":"2026-08-07T04:55:05.504109Z","state":"measured"},{"denominator":27,"lane":"standing_notices","note":"One-hop event checks from named stored sources.","records_observed":27,"source":"scholarly_work_events, retraction_status_cache","source_observed_at":"2026-08-17T06:30:58.91139+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/2506.13785/citation-record","integrity":"/paper/2506.13785/integrity","json":"/paper/2506.13785/citation-record.json","paper":"/paper/2506.13785"},"outbound":[{"citation":{"cited_paper":null,"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":null,"snapshot_observed_at":"2026-08-07T04:55:05.394579Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":1,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.394579Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:827dca9ea46d15110f94fe65dbdd17d77c0f345918458a872df178f855c36101","observation_id":"1a882cfe-999a-40f8-ab09-0d11bdb0d4e9","resolution":{"observed_at":"2026-08-07T04:55:05.394579Z","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":"2026-08-07T04:55:05.400133Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":2,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.400133Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:240671426749bdc9afc862186c8d5fa690e4b74bb3fa1468c7cd49fb2f267ebf","observation_id":"6c685555-f000-4061-8933-62a3442f2c28","resolution":{"observed_at":"2026-08-07T04:55:05.400133Z","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":"2026-08-07T04:55:05.404740Z","title":"write newline","venue":null,"work_id":null,"year":null},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":3,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.404740Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:88eefa7d872fed94b60458b3ee744dead863d31a2051e75c130cdcc7c229c30a","observation_id":"f4ca3f8c-f9ae-42b8-ba99-47ba15c1db30","resolution":{"observed_at":"2026-08-07T04:55:05.404740Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2303.08774","last_updated":"2024-03-04T06:01:33Z","snapshot_observed_at":"2026-08-17T09:58:46.058102Z","submitted_at":"2023-03-15T17:15:04Z","title":"GPT-4 Technical Report","version":6},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2303.08774","snapshot_observed_at":"2026-08-07T04:55:05.409776Z","title":", author Adler, S","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":4,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.409776Z"},"links":{"cited_paper":"/paper/2303.08774","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:ff4185bc47cfbcfc59a35b601fe07db0ca47a04f301ca2616e748cc9448bd0fa","observation_id":"268629a3-16dc-4a38-a784-2c5a93c46fc0","resolution":{"observed_at":"2026-08-07T04:55:05.409776Z","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":"2026-08-07T04:55:06.071650Z","title":", author Johnson, B","venue":null,"work_id":"7683e53e-2f30-416a-b997-8eb62bc1e8f2","year":2012},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":5,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.414036Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:daee22109cae6f63f9ab0d43f728311b69b6e5ac523794382eef6ce7895dbcb8","observation_id":"c3fee13d-6976-4055-8104-885582f2e9be","resolution":{"observed_at":"2026-08-07T04:55:06.075894Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T04:55:06.057631Z","title":", author De Bruecker, P","venue":null,"work_id":"291e1b6d-87b0-4022-bfaf-1ccc66ee56d6","year":2013},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":6,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.418151Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:ff68e3c6e74fbdb9f36157bef57b20097bd08d5befcabca69a8de468c2cdf533","observation_id":"cc7f6378-a78d-49ef-9838-a7dcdacbe44c","resolution":{"observed_at":"2026-08-07T04:55:06.062200Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T04:55:05.422571Z","title":", author Mann, B","venue":null,"work_id":null,"year":2020},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":7,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.422571Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:e1e5b9893e27a15594e3bec70d06b5aaea462ad92cb9adb5eb51d21a0a4fbccc","observation_id":"c906024e-da74-4d53-b39e-5d05e97c5c26","resolution":{"observed_at":"2026-08-07T04:55:05.422571Z","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":"2026-08-07T04:55:06.034048Z","title":", author Zhang, J","venue":null,"work_id":"6271f991-ba84-41c8-97cc-ca5327850d29","year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":8,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.426550Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:e553dd4a8055f683093c6ae36f3d572591c21d7939dfe93b99f113148e4b9806","observation_id":"b49a6b57-9bd8-44b6-b48f-063aa110260f","resolution":{"observed_at":"2026-08-07T04:55:06.038206Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T04:55:06.020227Z","title":", author Jeng, K.Y","venue":null,"work_id":"2ff34653-715c-4f96-9186-7b553ce35e3f","year":2005},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":9,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.430462Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:035759efdfabf72480d7540c9898aa45ff54f536dd5c11db3d20e1141d5817f6","observation_id":"365871cd-0fa6-408f-8081-3da747187414","resolution":{"observed_at":"2026-08-07T04:55:06.024257Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.14675","last_updated":"2025-03-17T04:47:58Z","snapshot_observed_at":"2026-08-16T13:07:56.614939Z","submitted_at":"2024-10-18T17:59:47Z","title":"To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts","version":2},"cited_work":{"arxiv_id":"2410.14675","doi":null,"metadata_source":"pith","pith_arxiv_id":"2410.14675","snapshot_observed_at":"2026-08-07T04:55:05.923349Z","title":"To Trust or Not to Trust? Enhancing Large Language Models' Situated Faithfulness to External Contexts","venue":"cs.CL","work_id":"2d6505fd-89a5-463e-b16b-4d859a88da40","year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":10,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.435151Z"},"links":{"cited_paper":"/paper/2410.14675","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:036ec014f288fac6bac743e4511cf9ec97a433193764451671939d834e11c2e9","observation_id":"83248f06-01fd-4a1c-873a-256b0494fe5c","resolution":{"observed_at":"2026-08-07T04:55:05.929885Z","resolver_source":"local_arxiv","status":"verified_exact"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+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":"2026-08-07T04:55:06.006791Z","title":", author Gu, S.S","venue":null,"work_id":"17c9180c-f775-4b4c-a6cc-031bfd3122cd","year":2022},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":11,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.439475Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:de418e4cc817e61a7fe00ee3d2caff321642f8b2aa87fb93645670be117e2b28","observation_id":"63ee9a39-ab74-40cc-aab6-d390346a955d","resolution":{"observed_at":"2026-08-07T04:55:06.010835Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2305.03111","last_updated":"2023-11-15T04:56:25Z","snapshot_observed_at":"2026-08-16T15:35:31.958229Z","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":"2026-08-07T04:55:05.443600Z","title":", author Hui, B","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":12,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.443600Z"},"links":{"cited_paper":"/paper/2305.03111","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:c1012eedcc6bacf0c260957b16276a03d898a31c0c6b3fbcfbcf41c2f17783fb","observation_id":"b497969e-7980-4d8b-9ccf-472a780412ee","resolution":{"observed_at":"2026-08-07T04:55:05.443600Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2305.15852","last_updated":"2024-03-15T21:04:34Z","snapshot_observed_at":"2026-08-16T15:29:49.848201Z","submitted_at":"2023-05-25T08:43:46Z","title":"Self-contradictory Hallucinations of Large Language Models: Evaluation, Detection and Mitigation","version":3},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2305.15852","snapshot_observed_at":"2026-08-07T04:55:05.447861Z","title":", author He, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":13,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.447861Z"},"links":{"cited_paper":"/paper/2305.15852","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:2b1228a4db75e8e8388faf4a8221ed713b0875ed0b215cb1f8808043cdb63bdd","observation_id":"5482b807-caf5-4449-8f8e-4d65c0db404c","resolution":{"observed_at":"2026-08-07T04:55:05.447861Z","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":"2026-08-07T04:55:05.452194Z","title":", author Wu, J","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":14,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.452194Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:df6f73af983ec2290ec581dc5ef74992aec5674eabd2e4c84349967c6346d683","observation_id":"f3abc81c-dc98-4e52-a8b3-be664ed2f7a2","resolution":{"observed_at":"2026-08-07T04:55:05.452194Z","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":"2026-08-07T04:55:05.983135Z","title":", author Bowman, S","venue":null,"work_id":"96757a8d-10fc-4d3d-b9e0-0d0799b24667","year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":15,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.456303Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:7d56a4e41814439119909a79d81e6e99f416c20fe9d6922a0486a3439f8e9c50","observation_id":"b0b2e4d8-db03-44af-a44c-1ff93bbcc66e","resolution":{"observed_at":"2026-08-07T04:55:05.987157Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2410.01943","last_updated":"2024-10-02T18:41:35Z","snapshot_observed_at":"2026-08-16T13:13:12.998252Z","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":"2026-08-07T04:55:05.460277Z","title":", author Li, H","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":16,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.460277Z"},"links":{"cited_paper":"/paper/2410.01943","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:12b25f4848ed79e87878be71840eaf2d84b20012cf7eb31ac3649373835a2000","observation_id":"c14907a7-e5d9-4972-991e-0993c2637487","resolution":{"observed_at":"2026-08-07T04:55:05.460277Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2208.13629","last_updated":"2022-08-29T14:24:13Z","snapshot_observed_at":"2026-08-16T16:36:13.759138Z","submitted_at":"2022-08-29T14:24:13Z","title":"A Survey on Text-to-SQL Parsing: Concepts, Methods, and Future Directions","version":1},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2208.13629","snapshot_observed_at":"2026-08-07T04:55:05.464414Z","title":", author Hui, B","venue":null,"work_id":null,"year":2022},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":17,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.464414Z"},"links":{"cited_paper":"/paper/2208.13629","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:d0dcfe586214849c1be2e6e97d338c0ff09957441f23f4e9a4c4ff88dbc965cd","observation_id":"fe513bc8-acbf-471c-9ff3-01ae65efb93b","resolution":{"observed_at":"2026-08-07T04:55:05.464414Z","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":"2026-08-07T04:55:05.468502Z","title":", author Zhou, K","venue":null,"work_id":null,"year":2025},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":18,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.468502Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:73202db1189fb93bef50f1ac7dae854b6fc9ac56804d740374f6ec38606774ef","observation_id":"b6586f5a-ffa1-4f42-a952-dff8f3be7ca8","resolution":{"observed_at":"2026-08-07T04:55:05.468502Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"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":"2026-08-07T04:55:05.472599Z","title":", author Gurevych, I","venue":null,"work_id":null,"year":2019},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":19,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.472599Z"},"links":{"cited_paper":"/paper/1908.10084","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:eb127e620f82ccf3586d8a68c965c9de2fa241b343f03bfb1f6ef093b7e0ac58","observation_id":"d2682430-54d3-479d-a00c-581471074edf","resolution":{"observed_at":"2026-08-07T04:55:05.472599Z","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":"2026-08-07T04:55:05.476898Z","title":", author Zheng, C","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":20,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.476898Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:ed3a6fdd565baa52705d28ce13b66d0331cfc864d08e117c2f4715ccc316e654","observation_id":"14dcbd3f-b537-49ad-ac16-f8fdc05a8814","resolution":{"observed_at":"2026-08-07T04:55:05.476898Z","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":"2026-08-07T04:55:05.480720Z","title":", author Zang, X","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":21,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.480720Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:6b16644b6c98273c3264f7cd5d2821d146856d15ad993b04ee4417c8036c99e3","observation_id":"27587545-8a91-4383-80eb-369067056058","resolution":{"observed_at":"2026-08-07T04:55:05.480720Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2312.11805","last_updated":"2025-05-09T21:04:06Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-12-19T02:39:27Z","title":"Gemini: A Family of Highly Capable Multimodal Models","version":5},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2312.11805","snapshot_observed_at":"2026-08-07T04:55:05.484447Z","title":", author Anil, R","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":22,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.484447Z"},"links":{"cited_paper":"/paper/2312.11805","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:6a969661624e1803db289b2c707249da0f9f6b45c4172e2b197bea0a573ca5c0","observation_id":"75aa798f-d6d2-478a-a9d0-bc2a9cc4244b","resolution":{"observed_at":"2026-08-07T04:55:05.484447Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}},{"citation":{"cited_paper":{"arxiv_id":"2403.08295","last_updated":"2024-04-16T12:52:47Z","snapshot_observed_at":"2026-08-03T03:29:01.959523Z","submitted_at":"2024-03-13T06:59:16Z","title":"Gemma: Open Models Based on Gemini Research and Technology","version":4},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2403.08295","snapshot_observed_at":"2026-08-07T04:55:05.488404Z","title":", author Mesnard, T","venue":null,"work_id":null,"year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":23,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.488404Z"},"links":{"cited_paper":"/paper/2403.08295","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:8f1a0544053c4220196c2d8a5f7ac2c88219bb7aca343520fb40b25fcde474cd","observation_id":"9eea0d0d-6443-4bbb-84a6-c63e30ee2023","resolution":{"observed_at":"2026-08-07T04:55:05.488404Z","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":"2026-08-07T04:55:05.969464Z","title":", author Loures, P.L","venue":null,"work_id":"f37d64a2-7f2d-423c-b349-72808728b7b2","year":2016},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":24,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.492440Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:10ffd42ecba8f70648454fa2688b4ad904ebabc73c0002f655f0ab767014fd81","observation_id":"064f86fc-75a3-4091-a68f-1893140d9ff0","resolution":{"observed_at":"2026-08-07T04:55:05.973616Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"1809.08887","last_updated":"2019-02-02T23:53:18Z","snapshot_observed_at":"2026-08-14T18:24:27.863819Z","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":"2026-08-07T04:55:05.496127Z","title":", author Zhang, R","venue":null,"work_id":null,"year":2018},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":25,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.496127Z"},"links":{"cited_paper":"/paper/1809.08887","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:cf4d061ab40ded4e14ee3c4768ce530c3ce5cfecf5009c10910c2d892f4d44ee","observation_id":"a5fd5244-e8db-4992-bc2f-23f119817bc9","resolution":{"observed_at":"2026-08-07T04:55:05.496127Z","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":"2026-08-07T04:55:05.955265Z","title":", year 2024","venue":null,"work_id":"79532574-0d9f-455d-ab67-8ec0c5057b51","year":2024},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":26,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.500266Z"},"links":{"citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:ecad55e8a1bec1ee68a5b53bda74ad19070de3c6c1a3d88c364313489357f39b","observation_id":"712313fc-a640-49f2-963b-cbf5946dcf56","resolution":{"observed_at":"2026-08-07T04:55:05.959383Z","resolver_source":"raw_fallback","status":"verified_fuzzy"},"standing_notice":{"events":[],"observation":"No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.","reason":null,"source_receipts":[{"observed_at":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"state":"measured"}},{"citation":{"cited_paper":{"arxiv_id":"2304.10592","last_updated":"2023-10-02T16:38:35Z","snapshot_observed_at":"2026-07-06T02:11:23.670680Z","submitted_at":"2023-04-20T18:25:35Z","title":"MiniGPT-4: Enhancing Vision-Language Understanding with Advanced Large Language Models","version":2},"cited_work":{"arxiv_id":null,"doi":null,"metadata_source":null,"pith_arxiv_id":"2304.10592","snapshot_observed_at":"2026-08-07T04:55:05.504109Z","title":", author Chen, J","venue":null,"work_id":null,"year":2023},"citing_paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO","version":1},"reference_index":27,"source":"arxiv_source","source_observed_at":"2026-08-07T04:55:05.504109Z"},"links":{"cited_paper":"/paper/2304.10592","citing_paper":"/paper/2506.13785"},"observation_digest":"sha256:427ac30e37b6c658ba900b0a951fb363c80dcbc525554d0743ab912d10a6e777","observation_id":"2ef1a2bb-b89c-48ad-9b4e-4f3c958ebea5","resolution":{"observed_at":"2026-08-07T04:55:05.504109Z","resolver_source":null,"status":"unresolved"},"standing_notice":{"events":[],"reason":"canonical_work_link_unavailable","source_receipts":[],"state":"unavailable"}}],"paper":{"arxiv_id":"2506.13785","last_updated":"2025-06-11T04:04:13Z","latest_version":1,"primary_category":"cs.DB","snapshot_observed_at":"2026-08-17T03:47:33.231863Z","submitted_at":"2025-06-11T04:04:13Z","title":"LLM-Driven Data Generation and a Novel Soft Metric for Evaluating Text-to-SQL in Aviation MRO"},"reference_resolution":{"displayed":27,"state_counts":{"malformed_identifier":0,"metadata_mismatch":0,"parse_uncertain":0,"unresolved":18,"verified_exact":1,"verified_fuzzy":8},"total_outbound_references":27},"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":"2026-08-17T06:30:58.91139+00:00","source":"crossref"},{"observed_at":"2026-08-17T06:30:54.323127+00:00","source":"retraction_watch"}],"thesis":"As of 17 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 0 inbound Pith citation observations for arXiv:2506.13785."}