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Paper Citation Record · LEDGER

A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 25 inbound Pith citation observations for arXiv:2411.08599.

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

pith.paper-citation-record.v1
2411.08599 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 25 of 25 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 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T19:30:38.376665Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:42:25.919327Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 7fa9c849-0688-4323-bac9-3d17eeee8afc · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 15

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no resolver link, observed 2026-08-09T19:30:38.376665Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T19:30:38.376665Z digest=sha256:87455efd807a945824a51b05b717ebe9c74359d512262a6afb4e5c4e44309447

Observation 0376c400-9051-415e-86ec-0014fc06b41d · inbound

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

Rationalization Models for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

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no resolver link, observed 2026-08-08T14:29:19.346735Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-08T14:29:19.346735Z digest=sha256:c844e8f4c48e7f19630fff99568cd63c95f51396958d2bc03995bbc60ac9507c

Observation 9a3ff915-9919-4291-9e01-a009e893417a · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 40

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arxiv_id, observed 2026-05-23T02:42:25.921804Z

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=sha256:5b298b8ff0eec1e16535220edaf7d180ef120b7ce00f15f5a2d1c0827aef1676

Observation 752f0cb9-98b8-421a-bdbb-c4fec9794dc1 · inbound

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning cites this paper.

Cheaper, Better, Faster, Stronger: Robust Text-to-SQL without Chain-of-Thought or Fine-Tuning A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-05-22T13:51:37.494934Z

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=2026-05-22T13:49:21.132896Z digest=sha256:12fe38ad21fc9eca6f375b1e0521fd8c75dfba5e978b34b2923be43f37a47c38

Observation 8fe93a7f-409c-46c4-9146-2646123eff07 · inbound

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning cites this paper.

LogicCat: A Chain-of-Thought Text-to-SQL Benchmark for Complex Reasoning A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:50.136895Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:29:50.136895Z digest=sha256:063135506e5cb37d10605016418798f7ba40c55d8538933d0e4ef247ed23e790

Observation 63f0cbde-a0ca-4364-8ff0-0147aa91d31b · inbound

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

Automatic Metadata Extraction for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 2014

Resolution
unresolved
no resolver link, observed 2026-08-07T14:07:08.095728Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:07:08.095728Z digest=sha256:ff6142028a4e9bbe2db47b1eba6920eaa5ec71ace7ae351e2263f8d265936f8f

Observation 512302e3-a1aa-4ecb-a3e3-eedf4584217d · inbound

Effectiveness of Prompt Optimization in NL2SQL Systems cites this paper.

Effectiveness of Prompt Optimization in NL2SQL Systems A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

Resolution
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no resolver link, observed 2026-08-07T13:54:50.745783Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:54:50.745783Z digest=sha256:7ab2ef6ad3afb20e2fc8463c5797d350097f719eccaa1b1f822ce00fd57cd416

Observation 539978a8-aef1-4aab-9b9c-5049b25b31a7 · inbound

TailorSQL: An NL2SQL System Tailored to Your Query Workload cites this paper.

TailorSQL: An NL2SQL System Tailored to Your Query Workload A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

Resolution
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no resolver link, observed 2026-08-07T13:00:09.677029Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:00:09.677029Z digest=sha256:77aa5467148e8da3a704cffa1407aea7872162824427757e3cc94f53b46e7cc4

Observation aeec0291-080a-4e9b-9b96-ea17f9a93307 · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T11:58:34.836700Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T11:58:34.836700Z digest=sha256:ef2a01e006af34f21bbf97eade18023ae9affb3a5d40cd5a6a5bc5ecbb9a6393

Observation 3123b1a7-d225-40a4-92f3-e8e92609cfd7 · inbound

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes cites this paper.

SDE-SQL: Enhancing Text-to-SQL Generation in Large Language Models via Self-Driven Exploration with SQL Probes A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 6

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:46.260991Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:46.260991Z digest=sha256:cebb3a5912704c3806ce68a8dcf041e751601c1def9772092fe14b3641e0cb07

Observation 5c053738-9916-4c99-92b9-a2763ec99a41 · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T05:38:16.316282Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:38:16.316282Z digest=sha256:7551c78dd02e920742fd6ebc7353b75db5bbeceb9d34bdbd40ef824092209e75

Observation 15d6d103-d3fb-4870-9b19-f071c4fa005a · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 35

Resolution
verified exact
arxiv_id, observed 2026-05-19T06:52:59.955002Z

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:ddc1f79fa8aa184a9a4594b60217ad66060017aded827a1d927e7442167061d8

Observation 53f9b9af-a52e-44af-a0ec-2ac488ba2ab8 · inbound

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation cites this paper.

CogniSQL-R1-Zero: Lightweight Reinforced Reasoning for Efficient SQL Generation A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 3

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no resolver link, observed 2026-08-06T19:18:35.220308Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:18:35.220308Z digest=sha256:2d95ae31cad76a1a08ff65cc5a72d44735cd855e520c3e1499bfa6373b6100dd

Observation 1a1316bb-9740-4246-bf54-3b6e8b84ac0a · inbound

QUEST: Query Optimization in Unstructured Document Analysis cites this paper.

QUEST: Query Optimization in Unstructured Document Analysis A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 16

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no resolver link, observed 2026-08-06T19:10:17.584227Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:10:17.584227Z digest=sha256:e8d9b85272e56962ba60a132c0e90cc6fcfd2c08ca3eaf0b9859ac9f652d490d

Observation ba5fff61-5400-4e72-bef7-4d74236bd975 · inbound

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL cites this paper.

RASL: Retrieval Augmented Schema Linking for Massive Database Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-06T11:09:17.269002Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T11:09:17.269002Z digest=sha256:f2e3e8938bab65d2d26b09edd824c37a8e7035605e5239d16a787ab03999017d

Observation 7c8a3d14-07d0-444a-ab33-3ce01a83bb7f · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 9

Resolution
verified exact
arxiv_id, observed 2026-05-18T01:32:17.432335Z

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=sha256:2b63977d684868880485e60a44556f43979ce70e68b5ba798ffc8e56293f1340

Observation 01bc75c4-24dc-4008-a7c8-a08a23e5923a · inbound

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

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 15

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no resolver link, observed 2026-08-02T19:06:47.289699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:06:47.289699Z digest=sha256:6940bdcea02a71b7575879e428c3a8c09ca12821e4783e0cbaac1c6ca74051bb

Observation 40a790f6-0adb-49a9-aeee-8b919cebdcbe · 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 A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 14

Resolution
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arxiv_id, observed 2026-05-11T07:30:58.068750Z

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:e26fb51c665a729ed1c2b5d58c6e14eeed50a701ab5640913d12cfba4bc13fd1

Observation 6024748f-376a-482f-8291-78edfed4b3ee · inbound

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation cites this paper.

Draft-Refine-Optimize: Self-Evolved Learning for Natural Language to MongoDB Query Generation A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 8

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verified exact
arxiv_id, observed 2026-05-15T13:20:02.232612Z

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=2026-05-15T13:16:49.107656Z digest=sha256:7520e1762ea4471d7fe8dc3b6c5f2b272f89eb0e45d5c8d277f78bc5b7bdbce3

Observation 3908bd5b-cbf4-4e96-82e6-cdf80e5e8d4f · inbound

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

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 15

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verified exact
arxiv_id, observed 2026-05-11T09:50:59.268634Z

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=sha256:58ee3011ef5c52e03707f3427d605527be93c5e736f31f5d29c341ac48f3ee54

Observation 1087504a-4ca7-458d-8fd0-2cdd88661ed7 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 16

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arxiv_id, observed 2026-05-11T21:31:17.444508Z

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=2026-05-08T05:11:46.991452Z digest=sha256:32b3de298e23dbc9ea317dbd7c416f23afb27322186fd94ecc602cc8bb2de059

Observation f750d457-2ab5-4bf4-b6af-cfdba09b4727 · inbound

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models cites this paper.

SEMA-SQL: Beyond Traditional Relational Querying with Large Language Models A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 16

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arxiv_id, observed 2026-05-15T06:55:10.603148Z

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=2026-05-15T06:53:11.604043Z digest=sha256:df245ff9c1b0b85a9015e9055422954ea5cf4a5942fa9e8f70219f7c59ba2455

Observation 47abcfcf-43ee-4a6a-a79d-a74e17dd9c39 · inbound

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL cites this paper.

Every Step Counts: Step-Level Credit Assignment for Tool-Integrated Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 3

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metadata mismatch
arxiv_id, observed 2026-05-11T18:16:10.589854Z

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=2026-05-08T16:23:13.535140Z digest=sha256:aea69d353364ff28fdd18e87df4dec6b22c1b5cf4faa835fe5b8c0c253eace26

Observation 9e182a46-31fd-4f7a-9094-6b9286acd6bf · inbound

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL cites this paper.

Beyond Static Rules: Automated Discovery of Latent Vulnerabilities in Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 55

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no resolver link, observed 2026-07-11T23:37:54.128572Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T23:37:54.128572Z digest=sha256:908aad6da0d06eaddaa0490e9d73f2a4373ce1d685c68c9483fcf4e174361b6f

Observation 21da0cec-cf06-4209-96fd-26d568e85f8d · inbound

VirtualSet: Typed Ontology Worlds as an LLM Generation Target for Grounded Queries and Guarded Decisions cites this paper.

VirtualSet: Typed Ontology Worlds as an LLM Generation Target for Grounded Queries and Guarded Decisions A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 10

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unresolved
no resolver link, observed 2026-08-01T14:15:21.951256Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-01T14:15:21.951256Z digest=sha256:4f5d301eb215dcb8791ee594eeaa6127c023bce738e78cd93e7873dda8f4b3d8