Paper Citation Record · LEDGER

How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.11853.

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

pith.paper-citation-record.v1
2305.11853 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:09:02.144112Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:16:16.589811Z

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 47f4019a-f0d5-4698-b699-335ae5970929 · inbound

Qwen2.5-Coder Technical Report cites this paper.

Qwen2.5-Coder Technical Report How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-10T12:33:38.944578Z

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.

Observation e8d04ba3-e20b-4fb2-86e8-2210a9c5e0f9 · inbound

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph cites this paper.

DCG-SQL: Enhancing In-Context Learning for Text-to-SQL with Deep Contextual Schema Link Graph How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-07T14:09:02.144112Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8b45b2-e0f5-491a-acf0-6230e199ba87 · inbound

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

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T13:19:32.550189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9dc98e9c-ab57-48a7-a014-d66970a90412 · inbound

SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis cites this paper.

SemanticAgent: A Semantics-Aware Framework for Text-to-SQL Data Synthesis How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:16:16.613256Z

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.

Observation 7d2ee5ef-baf7-4280-8186-11f64e28bc75 · inbound

ABISS: Evaluating Text-to-SQL Systems Through Agent Interaction cites this paper.

ABISS: Evaluating Text-to-SQL Systems Through Agent Interaction How to Prompt LLMs for Text-to-SQL: A Study in Zero-shot, Single-domain, and Cross-domain Settings

Reference 2

Resolution: unresolved; no resolver link, observed 2026-07-31T23:46:44.212423Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.