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Paper Citation Record · LEDGER

C3: Zero-shot Text-to-SQL with ChatGPT

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 49 inbound Pith citation observations for arXiv:2307.07306.

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

pith.paper-citation-record.v1
2307.07306 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 49 of 49 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 49 of 49 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T21:41:31.185108Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

28
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 0bcebb1b-d2d8-44ff-a065-27602f93c015 · inbound

CHESS: Contextual Harnessing for Efficient SQL Synthesis cites this paper.

CHESS: Contextual Harnessing for Efficient SQL Synthesis C3: Zero-shot Text-to-SQL with ChatGPT

Reference 66

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arxiv_id, observed 2026-05-19T11:24:22.960572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-19T11:24:22.789901Z digest=sha256:e996c20f2e34f57e9c3ac89af1a40b0747815bf0c4119d56519a0b771c26dd0e

Observation 0dbdb859-455e-4530-bcde-d6f7779236c3 · inbound

PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL cites this paper.

PSM-SQL: Progressive Schema Learning with Multi-granularity Semantics for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 4

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no resolver link, observed 2026-08-08T21:41:31.185108Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T21:41:31.185108Z digest=sha256:c14610e682f04b186a219ade6d06094dac578ca02baab5ad5ba7046f5a19a77a

Observation 0dc1e37d-3b6e-4ddd-a18a-385e992289c4 · inbound

Rationalization Models for Text-to-SQL cites this paper.

Rationalization Models for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 4

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no resolver link, observed 2026-08-08T14:29:19.330157Z

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source=arxiv_source observed=2026-08-08T14:29:19.330157Z digest=sha256:d9c896e4b447d28d8abad263c26997af7524476ac86cbfa41168340bb6f52ece

Observation d1c2e215-dca4-41eb-9125-eaf875966637 · inbound

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation cites this paper.

Knapsack Optimization-based Schema Linking for LLM-based Text-to-SQL Generation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 21

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arxiv_id, observed 2026-05-23T02:42:25.997746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-23T02:41:34.423951Z digest=sha256:6f670598e5fa1d70e0b0fcba665272c0a57e5c62699a3fa24749959cc0878e3d

Observation 3f5845b0-f46c-4c85-83b9-28e570f4db3b · inbound

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects cites this paper.

ExeSQL: Self-Taught Text-to-SQL Models with Execution-Driven Bootstrapping for SQL Dialects C3: Zero-shot Text-to-SQL with ChatGPT

Reference 10

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no resolver link, observed 2026-08-07T14:55:58.499983Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:55:58.499983Z digest=sha256:a4919bd680f28db440cf2fb47b879d1c230a64cc6604e0447006e1de1d9fedae

Observation 4135d033-7988-4384-85ce-f581ec746738 · inbound

Automatic Metadata Extraction for Text-to-SQL cites this paper.

Automatic Metadata Extraction for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 2002

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no resolver link, observed 2026-08-07T14:07:08.009466Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:08.009466Z digest=sha256:b0bcd3c5d84376ff5da1b68f23a4ede678fa79e221e915a571b4d657f19c9939

Observation 2910e80e-0fe2-4095-87f1-454742eb713a · inbound

Effectiveness of Prompt Optimization in NL2SQL Systems cites this paper.

Effectiveness of Prompt Optimization in NL2SQL Systems C3: Zero-shot Text-to-SQL with ChatGPT

Reference 5

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no resolver link, observed 2026-08-07T13:54:50.386953Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:50.386953Z digest=sha256:8b97fe45b4d3e790fc8249ed4b2cd798a6243425a7b5ff9263140b8575359ff7

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

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL cites this paper.

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

Reference 6

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

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:32.760289Z digest=sha256:0e7c8e48c0c4418a84abdd9512a384f0f97d3387b9746055c7cb25cce1fbd4e8

Observation de64cc80-3ef4-4a42-bc14-3dfe448b5a2f · inbound

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities cites this paper.

Exploring the Landscape of Text-to-SQL with Large Language Models: Progresses, Challenges and Opportunities C3: Zero-shot Text-to-SQL with ChatGPT

Reference 23

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no resolver link, observed 2026-08-07T13:12:34.769072Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:34.769072Z digest=sha256:07d44500f07d093554488b54a3564c17507ed8092059a917fc498e935078349d

Observation 82b1f2f1-d5ce-4e77-9b9e-9f4b84464b6a · inbound

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages cites this paper.

Pi-SQL: Enhancing Text-to-SQL with Fine-Grained Guidance from Pivot Programming Languages C3: Zero-shot Text-to-SQL with ChatGPT

Reference 7

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no resolver link, observed 2026-08-07T11:58:34.561731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:34.561731Z digest=sha256:c0ea1716a18d64859e0b02bd75d14a5b64d8d019848404e392ea530dfdf15124

Observation 0c3f3aa9-d5ac-45c0-ab5c-6211dbcc97e1 · inbound

RAISE: Reasoning Agent for Interactive SQL Exploration cites this paper.

RAISE: Reasoning Agent for Interactive SQL Exploration C3: Zero-shot Text-to-SQL with ChatGPT

Reference 12

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no resolver link, observed 2026-08-07T11:51:17.382713Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:51:17.382713Z digest=sha256:0fb5a3ee53d8751a4202bc35c0e439361d7a1f0761f614a8ff76760b8ccc621a

Observation b256d6d5-315a-4ff9-b344-5e54b730a166 · inbound

Auto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environments cites this paper.

Auto prompt sql: a resource-efficient architecture for text-to-sql translation in constrained environments C3: Zero-shot Text-to-SQL with ChatGPT

Reference 1

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no resolver link, observed 2026-08-07T11:02:56.147684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:02:56.147684Z digest=sha256:66991bfb01b03787cafa92eb3d713fbd9c692fb3104e0a82784c4452953bd205

Observation 66a578c5-bc6c-4531-bc5f-7bd230b84fad · inbound

SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation cites this paper.

SEED: Enhancing Text-to-SQL Performance and Practical Usability Through Automatic Evidence Generation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 31

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no resolver link, observed 2026-08-07T05:38:16.391072Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:16.391072Z digest=sha256:ae3597fbd1f4195342b73495ed8b563141efa03274d8440f78bd95515bf7c7c4

Observation e909c20a-974a-441e-baec-3a507a30d8bd · inbound

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task cites this paper.

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task C3: Zero-shot Text-to-SQL with ChatGPT

Reference 26

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no resolver link, observed 2026-08-07T01:05:26.796600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:05:26.796600Z digest=sha256:6468ba22b559936f95bcf8c9ce3499425995805526136f846352710e29d06d6e

Observation 5790e7d3-2187-4503-9cd0-ee2ea204baf3 · inbound

eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing cites this paper.

eSapiens: A Real-World NLP Framework for Multimodal Document Understanding and Enterprise Knowledge Processing C3: Zero-shot Text-to-SQL with ChatGPT

Reference 1

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no resolver link, observed 2026-08-06T23:41:02.222079Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T23:41:02.222079Z digest=sha256:bf028e9f797f71347739098eaecc344e58dd01523940f40a5e0fe420651bbae4

Observation 3b62a71c-cbf4-40bf-95d9-2c573af8685f · inbound

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL cites this paper.

XiYan-SQL: A Novel Multi-Generator Framework For Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 18

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arxiv_id, observed 2026-05-19T06:52:59.991921Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T06:52:57.718359Z digest=sha256:ef60d57161afbc3b26d9b5265c5fb480997e87989ee13b747ae4890b585c7d46

Observation 3f394100-4bea-4833-9794-3f2afeff59ab · inbound

SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition cites this paper.

SQLord: A Robust Enterprise Text-to-SQL Solution via Reverse Data Generation and Workflow Decomposition C3: Zero-shot Text-to-SQL with ChatGPT

Reference 3

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no resolver link, observed 2026-08-06T17:45:56.637505Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T17:45:56.637505Z digest=sha256:990f5c995159fd9aabde02dc99772dae05e7deff8a9e07b4192fdcc3e33878a8

Observation 222339b7-5a29-4928-b69a-b56dceb93472 · inbound

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation cites this paper.

ExCyTIn-Bench: Evaluating LLM agents on Cyber Threat Investigation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 9

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arxiv_id, observed 2026-05-19T04:42:04.826589Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T04:37:33.942379Z digest=sha256:fdce3f694327b08af8930159df1de739072f97189c19b83096db8452f0bd6dfd

Observation b4abb4db-e0d2-4c22-805f-eff071415245 · inbound

SLM-SQL: An Exploration of Small Language Models for Text-to-SQL cites this paper.

SLM-SQL: An Exploration of Small Language Models for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 2023

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no resolver link, observed 2026-08-06T11:44:35.211945Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:44:35.211945Z digest=sha256:47aade26d61b9ea0d0e707111a98b44c161fc6fda151b763a364297d7c101512

Observation ee5d6bce-e78f-4403-aee8-e68ab1303ec4 · inbound

Confidence Estimation for Text-to-SQL in Large Language Models cites this paper.

Confidence Estimation for Text-to-SQL in Large Language Models C3: Zero-shot Text-to-SQL with ChatGPT

Reference 9

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no resolver link, observed 2026-08-05T22:36:21.578300Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T22:36:21.578300Z digest=sha256:6c0b0b22a71a81197d840e12c2f0781175b3b1a7adf9d303fee09d2e8e3e6596

Observation b5de3ad8-185e-4ef9-ba36-5efba4c98de3 · inbound

Text to Query Plans for Question Answering on Large Tables cites this paper.

Text to Query Plans for Question Answering on Large Tables C3: Zero-shot Text-to-SQL with ChatGPT

Reference 7

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no resolver link, observed 2026-08-05T16:19:07.731176Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T16:19:07.731176Z digest=sha256:607e201ad8b794d71cdef7e3cc78b277c75af5be1b5af6f3a0a5cdea3837d7b0

Observation 184be784-fd96-4b8c-b01b-2800764b85dd · inbound

Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation cites this paper.

Text-to-SQL Oriented to the Process Mining Domain: A PT-EN Dataset for Query Translation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 29

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source=pdf_text observed=2026-08-05T19:30:07.674518Z digest=sha256:26c2d9564eade50a3db74b36afa84642319222784731b84e80998fc672fd553c

Observation 296217b1-a9ea-4c55-a8d5-6927e1240c4b · inbound

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL cites this paper.

MARS-SQL: A multi-agent reinforcement learning framework for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 5

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arxiv_id, observed 2026-05-18T01:32:17.457745Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-18T01:31:40.920567Z digest=sha256:cea619c5ec7b32ec9e7fd23181343cbd07c8c2d6154246d9c5c09a22006c5af6

Observation e67f60f2-f5c0-49ea-b509-8cffce28715d · inbound

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL cites this paper.

APEX-SQL: Talking to the data via Agentic Exploration for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 5

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no resolver link, observed 2026-08-03T01:04:45.161612Z

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source=pdf_text observed=2026-08-03T01:04:45.161612Z digest=sha256:f47b2ac18955502ac645677a26798ca9956d9e4bdb432a50b6dbe81cde5cc10e

Observation 031791ae-21db-4bf4-b6e8-43d4f92f428e · inbound

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis cites this paper.

Large Language Model-Enhanced Relational Operators: Taxonomy, Benchmark, and Analysis C3: Zero-shot Text-to-SQL with ChatGPT

Reference 13

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arxiv_id, observed 2026-05-15T17:40:11.741253Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T17:37:30.960959Z digest=sha256:dc5d385f777f887f0eb1fd5cdaacfba83ff97a0da2873c5bdb369663995034f6

Observation a786dab5-1767-4d33-888f-55ff2f57c859 · inbound

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement cites this paper.

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement C3: Zero-shot Text-to-SQL with ChatGPT

Reference 11

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no resolver link, observed 2026-08-02T19:06:47.151218Z

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:06:47.151218Z digest=sha256:55ec154062414e66bb7fda07c932df8609638e0b4069e7d4aedb543558ddfb82

Observation 1324efaa-9e4d-46ef-93b9-be6676b95a31 · inbound

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views cites this paper.

AV-SQL: Decomposing Complex Text-to-SQL Queries with Agentic Views C3: Zero-shot Text-to-SQL with ChatGPT

Reference 9

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arxiv_id, observed 2026-05-11T07:30:58.084531Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T17:09:46.385340Z digest=sha256:59200169f8ea9e44ca84d3499eaf95d8ce951b091a34f9c3918a8efec623655d

Observation f73f20e6-583e-4ab6-a2a4-05c000df5fde · inbound

ROSE: An Intent-Centered Evaluation Metric for NL2SQL cites this paper.

ROSE: An Intent-Centered Evaluation Metric for NL2SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 1

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arxiv_id, observed 2026-05-10T13:45:28.322815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T13:41:19.779340Z digest=sha256:7dc5becb9f54389e1ff87b7e2094dce4c02c941e9ecc758d9406ae01f02dda01

Observation ae0a19b4-7926-4f75-9928-b00e12d84c81 · inbound

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions cites this paper.

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions C3: Zero-shot Text-to-SQL with ChatGPT

Reference 10

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arxiv_id, observed 2026-05-11T09:50:59.332139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T15:48:27.632459Z digest=sha256:8fab642ae38aa59cbb5fd52cfc1497bf290e44b1205ee4e1c7dfdfa876741c25

Observation a6a9031a-ff95-49a9-b84c-3434282646bf · inbound

SQL Query Engine: A Self-Healing LLM Pipeline for Natural Language to PostgreSQL Translation cites this paper.

SQL Query Engine: A Self-Healing LLM Pipeline for Natural Language to PostgreSQL Translation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 14

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arxiv_id, observed 2026-05-10T12:40:23.875772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T12:39:43.559039Z digest=sha256:9b51dadde3787d859c1187e51a428aeffac803d90fc9d3dfac0ab6ba93850f7f

Observation 977064d0-3318-433c-9fdb-fe010df1f13c · inbound

PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search cites this paper.

PiLLar: Matching for Pivot Table Schema via LLM-guided Monte-Carlo Tree Search C3: Zero-shot Text-to-SQL with ChatGPT

Reference 24

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arxiv_id, observed 2026-05-12T09:11:25.190552Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-07T12:45:33.623012Z digest=sha256:f14a8d7fc72c3190ea16bd54b8d150aa7f78c6d5d36e96da038f2279b35f5e71

Observation b6b61dae-095d-446b-8109-e38299ad53a3 · inbound

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement cites this paper.

EGREFINE: An Execution-Grounded Optimization Framework for Text-to-SQL Schema Refinement C3: Zero-shot Text-to-SQL with ChatGPT

Reference 49

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arxiv_id, observed 2026-05-11T15:56:36.612526Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-09T19:00:03.585341Z digest=sha256:f517cc7214eacea01e7fac07e111bc914b26a054ec1925735017519cf1ed31de

Observation e8c07ace-ae97-44c7-8643-2fb1c1334e9b · inbound

SecureMCP: A Policy-Enforced LLM Data Access Framework for AIoT Systems via Model Context Protocol cites this paper.

SecureMCP: A Policy-Enforced LLM Data Access Framework for AIoT Systems via Model Context Protocol C3: Zero-shot Text-to-SQL with ChatGPT

Reference 23

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arxiv_id, observed 2026-05-11T17:06:04.934477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-08T17:55:16.302799Z digest=sha256:4d60c051ffaf12a6e548dc6972183f6ba919af177238939a4ee50dbea81fb494

Observation 207d78a7-d4c7-4834-ae76-bc18da4f9818 · inbound

Residual Skill Optimization for Text-to-SQL Ensembles cites this paper.

Residual Skill Optimization for Text-to-SQL Ensembles C3: Zero-shot Text-to-SQL with ChatGPT

Reference 10

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arxiv_id, observed 2026-05-22T08:41:17.200594Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T08:38:41.126772Z digest=sha256:96b43fe7d049643ccfb618b238eac39b10d1262ae6f463e3ef09b385be41a667

Observation 123adbae-776b-428b-9578-62d498231561 · inbound

RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation cites this paper.

RAS: Reflection-Augmented Scaling with In-Context Learning for Executable Cypher Query Generation C3: Zero-shot Text-to-SQL with ChatGPT

Reference 4

Resolution
verified exact
arxiv_id, observed 2026-05-25T06:05:26.586729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-25T06:01:01.451815Z digest=sha256:3f422af20c24f46d4a4d87b486a35cf8b4da9775b494fea11710d420bb2f5b89

Observation e51a59e7-9f1c-431f-adeb-fbe07e58a060 · inbound

Are Diffusion Language Models Good Database Analysts? cites this paper.

Are Diffusion Language Models Good Database Analysts? C3: Zero-shot Text-to-SQL with ChatGPT

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T09:53:17.354025Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T09:52:36.312723Z digest=sha256:030a6bf59d35c4add52f494ab444f12758d34c8bf0a0e09ca0e6eae493c19d0c

Observation f08ef45e-f10c-447f-9035-57e3147cf93c · inbound

EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL cites this paper.

EviLink: Multi-Path Schema Linking with Uncertainty-Guided Evidence Acquisition for Large-Scale Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 1

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T07:53:13.282632Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T07:52:38.797534Z digest=sha256:2c21ae364edc1b525eae4f339b7596e4a7cc15ce4b55a2e070afa9c948aad71f

Observation f4b138c8-3a18-4033-a96c-ddd6d872cc2f · inbound

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge cites this paper.

EntSQL: A Benchmark for Grounding Text-to-SQL in Long-Context Enterprise Knowledge C3: Zero-shot Text-to-SQL with ChatGPT

Reference 9

Resolution
metadata mismatch
arxiv_id, observed 2026-07-02T02:56:29.222935Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T10:28:44.425462Z digest=sha256:bdf49dce0796263c67697bb2e888bb1b162ef0aabf9461155303cacd07eb7d47

Observation 316fd5f8-0953-40a3-b90a-da60fa9196ec · inbound

ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL cites this paper.

ACE-SQL: Adaptive Co-Optimization via Empirical Credit Assignment for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-07-02T13:36:58.957727Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-28T01:12:42.929665Z digest=sha256:2840f940eb94e4e28e0a2f44a2bf3cd475194695572ed978dbd7e6f58d0e1daf

Observation a874e4cc-76b7-458d-a2cc-66037ad9b03b · inbound

ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL cites this paper.

ZAS-SQL: Distilling Rules from Failures for Zero-Shot Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 25

Resolution
verified exact
arxiv_id, observed 2026-06-27T19:51:13.030541Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-27T19:43:42.842345Z digest=sha256:6f32d0864349e0ac3694d826faa0b519d3c1d2c627a5378e37c41c30f4b037f5

Observation d9bde10e-c9d8-4c6e-a64a-1ac863903aa7 · inbound

Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems cites this paper.

Data Agents Under Attack: Vulnerabilities in LLM-Driven Analytical Systems C3: Zero-shot Text-to-SQL with ChatGPT

Reference 11

Resolution
verified exact
arxiv_id, observed 2026-07-02T23:47:27.427090Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T17:59:23.179944Z digest=sha256:e555542f16892154c85e77bf51438790f6d61fbc99d7997dcb00f20f9b9d238a

Observation 35af817f-0b03-4aa2-87b2-bae6efe5e134 · inbound

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration cites this paper.

SQLConductor: Search-to-Policy Learning for Step-wise Text-to-SQL Orchestration C3: Zero-shot Text-to-SQL with ChatGPT

Reference 6

Resolution
verified exact
arxiv_id, observed 2026-07-04T12:39:49.633638Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-26T06:19:42.165869Z digest=sha256:5d7d46a97eaf9def0e0d639cb8eedf99bb38277cc96640bb834818c771ceb6dc

Observation c6890b47-cc32-4578-b84b-db8e6ec67359 · inbound

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL cites this paper.

EXPO-SQL: Execution-based Clause-level Policy Optimization for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 18

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:05:36.914075Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-07-01T08:57:37.907354Z digest=sha256:f881146a973ee56c087a25478afa85d733ad7355d20857b31ad7f575d9c05619

Observation 56423578-ccbc-4565-aa1c-ac6ded99d0c5 · inbound

Database Context Compression for Text-to-SQL on Real-World Large Databases cites this paper.

Database Context Compression for Text-to-SQL on Real-World Large Databases C3: Zero-shot Text-to-SQL with ChatGPT

Reference 31

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T16:15:49.717087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T00:49:34.390197Z digest=sha256:dfb4bf3f63f75339bdba62c462802f9eb1b4f1d6027bb37fad9e90197727751f

Observation 47767823-d684-429a-9824-c5122f6878bf · inbound

A Semantic-Layer-Mediated Agent for Natural Language to SQL over Heterogeneous Enterprise Databases cites this paper.

A Semantic-Layer-Mediated Agent for Natural Language to SQL over Heterogeneous Enterprise Databases C3: Zero-shot Text-to-SQL with ChatGPT

Reference 6

Resolution
metadata mismatch
arxiv_id, observed 2026-07-01T09:55:40.210112Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:09:27.648136Z digest=sha256:575508d68c905f66a569b61841063826256029c462cdc9279704b2b4699aeb16

Observation f5f1a3c5-1363-4999-a8eb-538d9dcd1b4e · inbound

EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL cites this paper.

EvoSQL: Memory-Augmented Critic-Generator Co-Evolution for Text-to-SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 2023

Resolution
unresolved
no resolver link, observed 2026-08-02T12:21:14.525573Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:21:14.525573Z digest=sha256:0283e13fd3643fe2845aa44ecb7678c164fadb04c88bdd3ff7ead4eb9eb11e8d

Observation 48b7e0db-cdea-41f0-b4ab-53604553d5b2 · inbound

Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL cites this paper.

Schema-Aware Localisation (SAL): Live Schema Grounding and Hallucination Validation for Oracle NL2SQL C3: Zero-shot Text-to-SQL with ChatGPT

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-02T12:27:02.997736Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T12:27:02.997736Z digest=sha256:0e0477af3c12559554b8090c2cabda4dd99c7b0ef55c9f2c23434d3a34eb0609

Observation 269b6e8f-c94b-4460-bd78-ed2878b107b6 · inbound

Learning When to Reason for Text-to-SQL via SFT and DPO cites this paper.

Learning When to Reason for Text-to-SQL via SFT and DPO C3: Zero-shot Text-to-SQL with ChatGPT

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-02T11:00:39.298669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-02T11:00:39.298669Z digest=sha256:7e44266602b452e1563841750e77aee8d66b1a18f82fc21a46376029756ae5a1

Observation b7dc03c5-01d9-4558-adc8-b1108e4fde6f · inbound

CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process cites this paper.

CHS-SQL: A Text-to-SQL approach based on Confidence-Guided Heuristic Search Schema Linking process C3: Zero-shot Text-to-SQL with ChatGPT

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-02T11:00:10.787589Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T11:00:10.787589Z digest=sha256:80fc4d428ead6cd1354f2eaf460a62f6471cd7330bcf12fd3f44230f202a4cf9