Pith. sign in

Paper Citation Record · LEDGER

Large Language Model Enhanced Text-to-SQL Generation: A Survey

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 9 inbound Pith citation observations for arXiv:2410.06011.

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

pith.paper-citation-record.v1
2410.06011 v1

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 2026-08-07T06:34:17.273281+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:36:12.621689Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-15T19:56:33.623913Z

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 b167db15-fe72-4943-af85-166a11cebea9 · inbound

SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases cites this paper.

SchemaGraphSQL: Efficient Schema Linking with Pathfinding Graph Algorithms for Text-to-SQL on Large-Scale Databases Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-07T14:36:12.621689Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:36:12.621689Z digest=sha256:c34d4a4a399c26ef885741210e6356a5b9d1eb4451eaac03cdf7e02c628e715b

Observation 4be7d91c-5d78-4920-8216-68437ba86030 · inbound

Design and testing of an agent chatbot supporting decision making with public transport data cites this paper.

Design and testing of an agent chatbot supporting decision making with public transport data Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 1

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:22.398528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:22.398528Z digest=sha256:35db93c3ee9f52a52adfadd2690ac16458e2c175efdad9f8dc82e9b89ce1553c

Observation ee762e8c-faa4-4c16-b487-5244e5ada837 · inbound

SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists cites this paper.

SPOT: Bridging Natural Language and Geospatial Search for Investigative Journalists Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-07T00:41:26.045268Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:41:26.045268Z digest=sha256:069d0813714ae68bacd0354e5a3f356bde2d4f7e2ff19e4fc3c601405ba013e6

Observation 28a1f14c-8fec-43d9-b2e9-a0bbb54e5ba9 · inbound

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction cites this paper.

LLM-based Question-Answer Framework for Sensor-driven HVAC System Interaction Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-06T19:44:01.871291Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:44:01.871291Z digest=sha256:00b64733ebbbfeca3c171b44af331a931ecb0b674f9c48cfbde56207c14b657f

Observation 0908d21d-6698-46a5-a7de-548141c814bf · inbound

Bootstrapping Learned Cost Models with Synthetic SQL Queries cites this paper.

Bootstrapping Learned Cost Models with Synthetic SQL Queries Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-05T15:31:15.349649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T15:31:15.349649Z digest=sha256:db94fc0cb9b66ca7f9ada25425dcf020c59ec8d3a44b71f3227bc6a8f4e80916

Observation b5955f86-f8ca-4b02-becb-f3ea51f35871 · inbound

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? cites this paper.

Both Ends Count! Just How Good are LLM Agents at "Text-to-Big SQL"? Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 61

Resolution
malformed identifier
arxiv_id, observed 2026-05-15T19:56:33.627707Z

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.

source=pdf_text observed=2026-05-15T19:52:53.443887Z digest=sha256:a6dc395f93c63c3ab9dafba0ca7cba772c3c805f9d69648217999ffd823f0be9

Observation 8382b7c6-fd2f-401f-be2a-7a62b99adcdb · inbound

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions cites this paper.

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 84

Resolution
malformed identifier
arxiv_id, observed 2026-05-11T09:50:59.262207Z

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.

source=pdf_text observed=2026-05-10T15:48:27.632459Z digest=sha256:97c8a91b47b893981a2be3183f565aac966a02d695edb5896a3601187cc5fe7c

Observation dc3355d0-c509-4be0-b05b-2c27118be14b · 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 Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 129

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T07:45:59.818117Z

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.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:e994144a9673a00c05f0a2ceb0bdd6993cc17fa95d165ceb4d88a7ec1e1340f8

Observation ee1045f5-6aca-4b24-87d8-945907f1bd60 · 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 Large Language Model Enhanced Text-to-SQL Generation: A Survey

Reference 114

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T08:01:00.741856Z

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.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:4f9841f29f95e366995ce8d0924b104fede1a16cdb6999124f09d215f05abec8