Paper Citation Record · LEDGER

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL

As of 17 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2505.22096.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2505.22096 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:34.441277Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

32 of 32 outbound references displayed

verified exact0
verified fuzzy11
unresolved21
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8b8b45b2-e0f5-491a-acf0-6230e199ba87 · outbound

This paper cites How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:32.550189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbf1b5ac-4bec-4c3b-9abd-96495b79f95d · outbound

This paper cites C3: Zero-shot Text-to-SQL with ChatGPT.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:32.760289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7182237d-1397-4042-beb9-1bb7f46b8f1e · outbound

This paper cites In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, pages 5240–5253.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing, EMNLP 2022, Abu Dhabi, United Arab Emirates, December 7-11, 2022, pages 5240–5253

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:36.333062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 15c372f9-6f1c-4e72-9752-506d74119193 · outbound

This paper cites Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.055710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec5e9b5c-37d6-4881-b5ca-0a0da5d7ed5b · outbound

This paper cites Mixtral of Experts.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Mixtral of Experts

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.140908Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c21280a1-69c2-4c12-9115-704c343f8766 · outbound

This paper cites MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.228541Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eee6ceb2-01f7-4dba-a0f0-75b263d6f493 · outbound

This paper cites In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Sys- tems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16,.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Advances in Neural Information Processing Systems 36: Annual Conference on Neural Information Processing Sys- tems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.732226Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 32daeb45-e295-4f7f-89d8-30c565d9aa08 · outbound

This paper cites Divide and Prompt: Chain of Thought Prompting for Text-to-SQL.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Divide and Prompt: Chain of Thought Prompting for Text-to-SQL

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.355717Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e24e7722-ff51-45b1-a408-3ed3768d8f42 · outbound

This paper cites Granite Code Models: A Family of Open Foundation Models for Code Intelligence.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Granite Code Models: A Family of Open Foundation Models for Code Intelligence

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.413242Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a18417c1-e999-46ff-bf8c-4c05a7efc1c1 · outbound

This paper cites Orca: Progressive Learning from Complex Explanation Traces of GPT-4.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Orca: Progressive Learning from Complex Explanation Traces of GPT-4

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.480844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fe8e6af4-031f-4a70-b9a9-5820a992d464 · outbound

This paper cites an unresolved cited work.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:19:35.592658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1a9edcf3-59a1-44fc-8899-51a1b2971d10 · outbound

This paper cites GPT-4 Technical Report.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL GPT-4 Technical Report

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.612804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7bd5dab4-0049-46df-ac19-e48f448e548d · outbound

This paper cites In Advances in Neural Information Processing Systems 36: Annual Confer- ence on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16,.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Advances in Neural Information Processing Systems 36: Annual Confer- ence on Neural Information Processing Systems 2023, NeurIPS 2023, New Orleans, LA, USA, December 10 - 16,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.562996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 658d5135-92e4-48ff-8857-4d3e09a3b923 · outbound

This paper cites Evaluating the Text-to-SQL Capabilities of Large Language Models.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Evaluating the Text-to-SQL Capabilities of Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.724722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 715d600d-ba0d-4346-b6ed-a9a2dedbea1f · outbound

This paper cites In Advances in Neural Information Processing Systems 33: An- nual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Advances in Neural Information Processing Systems 33: An- nual Conference on Neural Information Processing Systems 2020, NeurIPS 2020, December 6-12, 2020, virtual

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.424835Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation da06e35a-9c0a-47a4-8fee-78e10ac8ea77 · outbound

This paper cites LAB: Large-Scale Alignment for ChatBots.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL LAB: Large-Scale Alignment for ChatBots

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:33.832836Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4b460706-9cb2-4166-967c-ac9fb15a5552 · outbound

This paper cites In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, De- cember 6-10, 2023, pages 5376–5393.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Proceedings of the 2023 Conference on Empirical Methods in Natural Language Processing, EMNLP 2023, Singapore, De- cember 6-10, 2023, pages 5376–5393

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.298731Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1be833f1-ee2a-4cbe-804d-5610144589e0 · outbound

This paper cites In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023, Singapore, December 6-10, 2023, pages 6432–6443.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Find- ings of the Association for Computational Linguis- tics: EMNLP 2023, Singapore, December 6-10, 2023, pages 6432–6443

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.179363Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 9b84d7ef-8c68-4e53-9985-a69c95abfbf6 · outbound

This paper cites Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Yizhong Wang, Yeganeh Kordi, Swaroop Mishra, Alisa Liu, Noah A

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.025110Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 2e1a8187-234a-4ff1-b6a6-a6b5f9bc090a · outbound

This paper cites an unresolved cited work.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Unresolved cited work

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:34.220639Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a9fccec0-a378-4524-8ff3-1375d18aefcd · outbound

This paper cites WizardLM: Empowering large pre-trained language models to follow complex instructions.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL WizardLM: Empowering large pre-trained language models to follow complex instructions

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:34.267947Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca8d54e0-caa2-4451-b1c2-78820e8016b5 · outbound

This paper cites In Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, pages 3911–3921.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Proceed- ings of the 2018 Conference on Empirical Methods in Natural Language Processing, Brussels, Belgium, October 31 - November 4, 2018, pages 3911–3921

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:34.876361Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 41f3c71e-ba98-42fd-a9f3-f6ab89aaa69d · outbound

This paper cites an unresolved cited work.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Unresolved cited work

Reference 1996

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:19:34.749403Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a7c2204-858d-45e2-83d1-d77e881adbc8 · outbound

This paper cites MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL MAC-SQL: A Multi-Agent Collaborative Framework for Text-to-SQL

Reference 2014

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:34.017622Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ff88d62f-47db-4860-ba7d-43e6c4387c3c · outbound

This paper cites SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL SQLNet: Generating Structured Queries From Natural Language Without Reinforcement Learning

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:34.311722Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dd4c4fb2-57dd-4c45-8702-bc971d901c79 · outbound

This paper cites In Proceedings of the Twenty- Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stock- holm, Sweden, pages 3977–3983.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Proceedings of the Twenty- Seventh International Joint Conference on Artificial Intelligence, IJCAI 2018, July 13-19, 2018, Stock- holm, Sweden, pages 3977–3983

Reference 2018

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:36.832488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 0db4b45b-ac8b-4094-ad82-16a4eb1515c9 · outbound

This paper cites an unresolved cited work.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Unresolved cited work

Reference 2019

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:19:36.544954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation cd363df1-51d7-4b19-bd8e-67b12ea0b6ed · outbound

This paper cites In Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing, EMNLP 2020, Online, November 16-20, 2020, pages 6769–6781.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In Proceedings of the 2020 Conference on Empirical Methods in Nat- ural Language Processing, EMNLP 2020, Online, November 16-20, 2020, pages 6769–6781

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:35.903118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8a00be90-5619-4aba-b82d-34c0f86ab4f8 · outbound

This paper cites In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 , pages 113–122.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL In SIGIR ’21: The 44th International ACM SIGIR Conference on Research and Development in Information Retrieval, Virtual Event, Canada, July 11-15, 2021 , pages 113–122

Reference 2021

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:19:36.128829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation b09c0b9b-ca8d-4f35-ab7b-ffb0606f0f5f · outbound

This paper cites an unresolved cited work.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Unresolved cited work

Reference 2022

Resolution: unresolved; raw_fallback, observed 2026-08-07T13:19:37.074111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31739589-05f6-4d37-8bff-4e296e553a42 · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Gemini: A Family of Highly Capable Multimodal Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:32.399770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c38e2cb1-8c0a-49d1-b14e-79c0b6941b95 · outbound

This paper cites The Faiss library.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL The Faiss library

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:32.917397Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.