Paper Citation Record · LEDGER

MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 18 inbound Pith citation observations for arXiv:2405.07467.

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

pith.paper-citation-record.v1
2405.07467 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 18 of 18 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 18 of 18 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:07:08.330616Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:49:54.644227Z

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 6cb3c946-6b53-4b1d-9952-d9308c6e00ae · inbound

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

CHESS: Contextual Harnessing for Efficient SQL Synthesis MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 81

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:24:22.996475Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0365f857-634f-42a6-96ce-11d20adf29e9 · inbound

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

Automatic Metadata Extraction for Text-to-SQL MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-07T14:07:08.330616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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

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

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 f395457a-6151-4b1a-9482-ba44f7331b31 · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:38.163368Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce953990-f8ce-4e32-9faf-f5cef0e7a9d8 · inbound

SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL cites this paper.

SHARE: An SLM-based Hierarchical Action CorREction Assistant for Text-to-SQL MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T12:10:09.934955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb7d5db1-5412-429b-ab4f-70b0db9fec17 · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:35.805001Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b7e2a67-77bc-4134-b3b7-20179288372c · inbound

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

RAISE: Reasoning Agent for Interactive SQL Exploration MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-07T11:51:17.559129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb381734-1463-43e7-81a1-d5185d9499e6 · inbound

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL cites this paper.

SQLens: An End-to-End Framework for Error Detection and Correction in Text-to-SQL MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T10:46:27.040636Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c18eb8e-a45e-4295-8454-4fdc4edecebc · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:46.984628Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a35100ae-d37d-48e9-866d-c6bbae8882fc · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-07T05:38:16.331686Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60a83102-439d-46af-b9c7-67334ecfa895 · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T06:52:59.879026Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0564bbaa-4796-44e5-b696-4bba1ff840d6 · inbound

Text-to-SQL for Enterprise Data Analytics cites this paper.

Text-to-SQL for Enterprise Data Analytics MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T16:09:53.807366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc253fd7-eed9-4ffd-8cb2-4498b39ad9b9 · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-06T11:44:35.221158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a79d8036-9d23-4052-8bc3-b0c2e95176d5 · 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 MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-06T11:09:17.757730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ab48522-253a-47a5-ba94-044d64ba3569 · inbound

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding cites this paper.

Reliable Answers for Recurring Questions: Boosting Text-to-SQL Accuracy with Template Constrained Decoding MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-12T10:11:27.094904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f497e56-20f0-4703-ab67-f14719a78fa6 · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 16

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:25:58.176358Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 90831014-a0dc-48ae-9e80-adbce59fab08 · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:49:54.645733Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b11c56f0-b0de-4921-a862-9d3446805190 · inbound

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries cites this paper.

EcoTable: Cost-effective Table Integration in Data Lakes for Natural Language Queries MCS-SQL: Leveraging Multiple Prompts and Multiple-Choice Selection For Text-to-SQL Generation

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T02:32:09.630685Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.