Paper Citation Record · LEDGER

Exploring Chain-of-Thought Style Prompting for Text-to-SQL

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2305.14215.

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

pith.paper-citation-record.v1
2305.14215 v2

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 2026-08-08T06:32:00.761636+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:26:57.388906Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T01:32:17.308875Z

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 db5c65f2-31be-4ef1-b93a-de6cfe0a3f54 · inbound

Meta-aware Learning in text-to-SQL Large Language Model cites this paper.

Meta-aware Learning in text-to-SQL Large Language Model Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-07T14:26:57.388906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b58855ae-1ee7-4278-9214-2d95d8bded19 · inbound

Talking to Data: Designing Smart Assistants for Humanities Databases cites this paper.

Talking to Data: Designing Smart Assistants for Humanities Databases Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T11:57:18.114031Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d7b991e0-06fe-449a-b10c-40821a66caad · 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 Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:48.836906Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b5fefc23-4d1b-42ac-ba25-9c0d1d3b883a · inbound

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence cites this paper.

Toward Real-World Table Agents: Capabilities, Workflows, and Design Principles for LLM-based Table Intelligence Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T17:40:17.311961Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1b00de8d-b198-4b7f-aef1-bd188589943e · 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 Exploring Chain-of-Thought Style Prompting for Text-to-SQL

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:32:17.312830Z

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.