Paper Citation Record · LEDGER

DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

As of 21 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2406.11434.

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

pith.paper-citation-record.v1
2406.11434 v1

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 2026-08-21T06:32:19.484+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T13:07:16.139993Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.490182Z

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 225db11e-3462-435f-814a-8546f098a229 · inbound

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning cites this paper.

ROMAS: A Role-Based Multi-Agent System for Database monitoring and Planning DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-11T13:07:16.139993Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 70dcbf4a-becb-4a35-8263-1c28cab9a920 · inbound

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL cites this paper.

Is Long Context All You Need? Leveraging LLM's Extended Context for NL2SQL DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-10T17:17:24.487851Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ecf93a39-310d-4371-9df4-d8c39be8edc9 · 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 DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 168

Resolution: unresolved; no resolver link, observed 2026-08-07T13:12:48.285420Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 93bd095b-bfb1-46f0-96c9-40babb262311 · 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 DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 221

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:45:59.998912Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation dee051b3-8772-47da-9f66-6669322957d0 · 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 DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 206

Resolution: verified exact; arxiv_id, observed 2026-05-11T08:01:00.495716Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-21T06:32:19.484+00:00.

Observation e792ff12-e591-4a36-a0dc-99678400f4a6 · inbound

Benchmarking Text-to-SQL under Role-Based Access Control cites this paper.

Benchmarking Text-to-SQL under Role-Based Access Control DB-GPT-Hub: Towards Open Benchmarking Text-to-SQL Empowered by Large Language Models

Reference 53

Resolution: malformed identifier; no resolver link, observed 2026-08-01T05:49:43.014645Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.