Paper Citation Record · LEDGER

From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.01066.

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

pith.paper-citation-record.v1
2410.01066 v2

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

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T19:30:44.445676Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

4
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 259cbcf1-8332-4ec1-aa5f-321603aee0e8 · inbound

LLM Agents Are the Antidote to Walled Gardens cites this paper.

LLM Agents Are the Antidote to Walled Gardens From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 59

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:44:29.415781Z

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.

Observation 00594952-079c-47b1-8d98-afdffa7dad5a · inbound

Agentic LLMs for Question Answering over Tabular Data cites this paper.

Agentic LLMs for Question Answering over Tabular Data From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:30:44.445676Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bde8a37a-8e60-439e-b647-7049ad83e4fa · inbound

Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention cites this paper.

Changing the Paradigm from Dynamic Queries to LLM-generated SQL Queries with Human Intervention From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T19:04:53.157874Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e8d31a4-8bb0-4166-83ea-b175718a9bba · inbound

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

NL2SQLBench: A Modular Benchmarking Framework for LLM-Enabled NL2SQL Solutions From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 44

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T09:50:59.282501Z

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.

Observation f03f5a93-a65e-4c71-9ae9-2dc967574920 · 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 From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 299

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T07:45:59.366969Z

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.

Observation 4b113c47-38eb-4ff8-959a-e7d738ff8fae · 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 From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 284

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T08:01:00.837639Z

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.

Observation c5bd44bc-394a-49e6-b915-da2839a90d11 · inbound

AgentNLQ: A General-Purpose Agent for Natural Language to SQL cites this paper.

AgentNLQ: A General-Purpose Agent for Natural Language to SQL From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T10:43:12.520354Z

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.

Observation 7c6971f4-3b77-4c66-8ce0-1fc36fdf18e3 · inbound

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling cites this paper.

Fixing FOLIO and MALLS: Verified Annotations and an LLM-assisted Framework to Focus Human Relabeling From Natural Language to SQL: Review of LLM-based Text-to-SQL Systems

Reference 82

Resolution: verified exact; arxiv_id, observed 2026-06-28T14:32:17.765895Z

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.