Paper Citation Record · LEDGER

SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2408.12733.

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

pith.paper-citation-record.v1
2408.12733 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 9 of 9 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 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:58.996508Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T00:45:09.416106Z

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 9c1bcc7f-fa6e-4eb8-a417-c31f57edd79c · 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 SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-07T14:55:58.996508Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d84b3c78-dc05-456a-8bcc-86ee911bfb5e · 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 SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:41.215905Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3fee2182-aad9-4283-a62b-cca229ba034a · 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 SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:48.271709Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 21ec9455-4851-44a9-a821-3ee198ddea3d · inbound

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL cites this paper.

Taming SQL Complexity: LLM-Based Equivalence Evaluation for Text-to-SQL SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T04:54:40.002669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5781df1a-62b0-4957-ba44-b1772f9bb714 · inbound

CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems cites this paper.

CLARITY: A Framework and Benchmark for Conversational Language Ambiguity and Unanswerability in Interactive NL2SQL Systems SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T19:31:09.497385Z

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 939df13c-2f90-442c-bcac-f0fb3193c3e9 · inbound

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs cites this paper.

Free Energy-Driven Reinforcement Learning with Adaptive Advantage Shaping for Unsupervised Reasoning in LLMs SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 165

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:45:59.497949Z

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 abf2778a-7d96-47fe-b426-6e416e5bc88d · inbound

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning cites this paper.

Adapt to Thrive! Adaptive Power-Mean Policy Optimization for Improved LLM Reasoning SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 150

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:01:00.767598Z

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 17419676-c946-4f0a-88a4-d37d77bf1c21 · inbound

PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism cites this paper.

PolySQL: Scaling Text-to-SQL Evaluation Across SQL Dialects via Automated Backend Isomorphism SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T03:05:55.468804Z

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 f20c6dfb-ff04-41ba-934f-f5a5bed41fd2 · inbound

Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model cites this paper.

Knowledge Distillation for Low-Resource Open-source Text-to-SQL Model SQL-GEN: Bridging the Dialect Gap for Text-to-SQL Via Synthetic Data And Model Merging

Reference 6

Resolution: verified exact; arxiv_id, observed 2026-05-25T00:45:09.419880Z

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.