Pith. sign in

Paper Citation Record · LEDGER

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

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 28 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 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-21T06:32:19.484+00:00

measured 28 of 28 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:32:40.803718Z

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

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

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 8a16c090-c7a2-4c15-acb6-970397c0659d · inbound

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL cites this paper.

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-11T16:24:45.203443Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T16:24:45.203443Z digest=sha256:a0fcbeebc4d0dba97ba22356247ef6210d7d1bced227581357e4b21c366d3f2a

Observation 1064ae20-bb92-4c61-b25a-5bacbe731dbe · inbound

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL cites this paper.

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-10T17:17:24.317247Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T17:17:24.317247Z digest=sha256:adfdc0ccc200226ee1ada35a4d03359137d6ac659e6ac8f777ca61702934b9e8

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

Resolution
unresolved
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=sha256:31ae28b378089a91586fb2573d78714da3288f996072f38450a6a93608c9c3e1

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

Resolution
unresolved
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:a10a92d10dadb946a7118bfeccc44288064759a5d45d2cd3eb4f5535ce165723

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

Resolution
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-23T02:41:34.423951Z digest=sha256:1f7479edfcfcd7f8a2ef46afebdf31a8031b4491e7d96d9c07b401139caf5e6d

Observation 266426ec-6b66-4241-9ea5-05419bb62d42 · inbound

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL cites this paper.

ReEx-SQL: Reasoning with Execution-Aware Reinforcement Learning for Text-to-SQL A Preview of XiYan-SQL: A Multi-Generator Ensemble Framework for Text-to-SQL

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:40.803718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:40.803718Z digest=sha256:7a74289ca995ce2a9e3890dc59f734c18653cb4e2aded06d1654100cd1e4256e

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-22T13:49:21.132896Z digest=sha256:0e1f336756c248a49003d8eda9a67cee8ca9575a77c42bf7cd9fc52d68a27199

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=sha256:02428608df90b8db1a287192470c297aa53c9c8e75897350585ab043987a4ffa

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=sha256:4e89b5aaa3445f3dbc243a0eb76a911ae795b0a5a5eaded9e3b868cc92edb465

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
unresolved
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=sha256:800023875acdbb15d765b1b8559d565ef954fa0475028610a50d0a0afad25bb0

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
unresolved
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:eb119147c33eaf8667c6e04598ea808c6149066e27530df3c4030b825c1a794e

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=sha256:22333d29ff372cb4fb0f57a204154631d5773f605b3f18025479e88871262d5e

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:a10ddf62f6841f75837672dc701f713e9070153e34b181cbc8fe186e6b987721

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:cbd3362999cd95171692a8d747723543d6193fe2abbe02a60c7fa4c1acde4147

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-19T06:52:57.718359Z digest=sha256:3e23d8a31c75711a8f11e7bb36f95dfdfe3b82b9e0e2f16cb166c69340a7dcc5

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

Resolution
unresolved
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:b4ddad44715e315650787bd5817a3987710e4183d757f70ebee52c9dd2b3c987

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

Resolution
unresolved
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=sha256:496f7646e877126b8f96426489e2cc21019acc7f51ba3fce9afa502008cac68e

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=sha256:28c019359f1d91d1f18c67a3e573e83a286fa8a58f3c4759d14b4b28b9659acb

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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-18T01:31:40.920567Z digest=sha256:0d8fe72b6d12523dba28efc5588e5cdf4cdb3aebab5e2951ed8d24cc9b667d85

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

Resolution
unresolved
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=sha256:456a5da53ddd5aeac20612662e21848057071bfe1abfeef83688b84d774780fd

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
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T17:09:46.385340Z digest=sha256:8094cc6d60ee72e7f70b804a02a507f76408aa5a6df4087e806def6a3ff18eef

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T13:16:49.107656Z digest=sha256:ef077c71cb1425c928dd8336c0047113da10b959e517c9ffc19f57100f2777ef

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-10T15:48:27.632459Z digest=sha256:2b3bccb9b05b585fcd66949434ee87ad91edb39731c0b6c96aced88f5c16d525

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

Resolution
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T05:11:46.991452Z digest=sha256:72573fec80ff356124b67feb53f17408e1803cf14c27cd9bd0bc2d1ca23f5b08

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

Resolution
verified exact
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-15T06:53:11.604043Z digest=sha256:d380d8cf02ece0522fd28feb351744622e73350645ac2e942af3f62e57a11e46

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

Resolution
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 2026-08-21T06:32:19.484+00:00.

source=pdf_text observed=2026-05-08T16:23:13.535140Z digest=sha256:1bf103533c0fde1afcc40bd34258eb3e8d5bcfb27ba46ac715df7fd22c2d5f9e

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

Resolution
unresolved
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=sha256:83fdba2e153ad366f7b0927584e3d2e7fdaa41420071726629f9aeba51a34669

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

Resolution
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=sha256:0183c95142cc9a8dff400edc79b76f71370dab3c44e52f8ac83a520ccf053746