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Paper Citation Record · LEDGER

A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2303.13547.

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

pith.paper-citation-record.v1
2303.13547 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 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 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:39.156992Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T02:42:25.910154Z

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 93e433af-2c0a-4879-ba45-61fcba53cb09 · 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 comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-23T02:42:25.912658Z

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.

source=pdf_text observed=2026-05-23T02:41:34.423951Z digest=sha256:9080beecdc7e302b4fad2e9045c6edd14327f21564173906513295da331cca31

Observation 835a28e2-9d43-4b79-ace8-44b8ae7a70ef · 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 A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:39.156992Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:39.156992Z digest=sha256:15e3966af6d8c0b5bbd7575ec099f0e4935b21f8d3ec8b210d39d2d7bde5ff06

Observation c0a65bc9-b900-411a-b455-1d684b0852bf · inbound

Interactive Text-to-SQL via Expected Information Gain for Disambiguation cites this paper.

Interactive Text-to-SQL via Expected Information Gain for Disambiguation A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-06T19:17:17.032293Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:17:17.032293Z digest=sha256:1e7fb5fba2dd2d9afb46ab9086a0b3aff2eb8ea88a703be7b35c3c6022d83c36

Observation d1ca81a7-3dc0-4da5-b55f-f7494beaf443 · inbound

Chatting with your ERP: A Recipe cites this paper.

Chatting with your ERP: A Recipe A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-06T10:47:55.100382Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T10:47:55.100382Z digest=sha256:f9a313eba8547b5010b33e0d0864f94a63e08256d3c587745cc695611898d400

Observation a146e758-c7e3-42dd-881c-977bef0a83c9 · inbound

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement cites this paper.

ErrorLLM: Modeling SQL Errors for Text-to-SQL Refinement A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 31

Resolution
unresolved
no resolver link, observed 2026-08-02T19:06:48.099188Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T19:06:48.099188Z digest=sha256:e42b98471dfe22c91d5eae084e46bda6d96779440cf192014f656a08b8c319ed

Observation 75fce454-beae-4009-a170-581dc239908b · 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 comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 28

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:30:58.071928Z

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.

source=pdf_text observed=2026-05-10T17:09:46.385340Z digest=sha256:3992876cbbdcac30f6b3c1512a703dacbe791afeb4e67d5f89ef4c05f62ffcba

Observation 15948e8c-6683-4404-ac95-850c3bf1bac3 · inbound

PExA: Parallel Exploration Agent for Complex Text-to-SQL cites this paper.

PExA: Parallel Exploration Agent for Complex Text-to-SQL A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-11T19:26:09.970441Z

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.

source=pdf_text observed=2026-05-08T11:55:14.452815Z digest=sha256:c4201f20bccb76c3900c1c5ab19d9d375e87b9125d586bf75aab2895df0bd1cf

Observation 5d0bb1d2-3534-409a-9d76-8c3abd05e125 · inbound

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method cites this paper.

Retrieve Only Relevant Tables Whether Few or Many: Adaptive Table Retrieval Method A comprehensive evaluation of ChatGPT's zero-shot Text-to-SQL capability

Reference 21

Resolution
metadata mismatch
arxiv_id, observed 2026-05-21T01:09:20.399161Z

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.

source=arxiv_source observed=2026-05-21T01:07:54.061446Z digest=sha256:c559ac2af697fbdddad39e2d74c05cd015a352a8aeba52fa9570b331eff7e459