Paper Citation Record · LEDGER

LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2106.01093.

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

pith.paper-citation-record.v1
2106.01093 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T11:58:34.187213Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T07:56:47.085525Z

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 897f7c1f-fcf3-4fde-94d5-2cb90613bc84 · inbound

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

CHESS: Contextual Harnessing for Efficient SQL Synthesis LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 61

Resolution: verified exact; arxiv_id, observed 2026-05-19T11:24:22.939339Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

Observation 7fe7d077-7ce5-4050-b8fe-557ff23d2e04 · 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 LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T11:58:34.187213Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2147b60e-64c0-4d16-842e-3ba62bb5a94f · 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 LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T05:43:45.600857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39e238e9-1cf0-41e9-bd1a-e7ee874d5457 · inbound

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

Interactive Text-to-SQL via Expected Information Gain for Disambiguation LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T19:17:16.007887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 84c2b9f0-f64a-4684-ae36-b466f4cf9995 · inbound

Confidence Estimation for Text-to-SQL in Large Language Models cites this paper.

Confidence Estimation for Text-to-SQL in Large Language Models LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-05T22:36:21.558570Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b40ef82-94e0-448e-853c-1cb0b8273220 · inbound

SANE Schema-aware Natural-language Evaluation of Biological Data cites this paper.

SANE Schema-aware Natural-language Evaluation of Biological Data LGESQL: Line Graph Enhanced Text-to-SQL Model with Mixed Local and Non-Local Relations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-02T07:56:47.086867Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.