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Paper Citation Record · LEDGER

DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2409.15985.

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

pith.paper-citation-record.v1
2409.15985 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 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 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:12:45.126710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T08:01:00.447514Z

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 724c3677-46d3-4b82-9ed3-04d50625685f · 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 DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL

Reference 135

Resolution
unresolved
no resolver link, observed 2026-08-07T13:12:45.126710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:12:45.126710Z digest=sha256:58a405b4cae206ed8ef18d1cf5df947a3d3364c864fd451d28c624034667fc30

Observation 65de95d1-9bdc-4005-bad5-8a33ae5267a3 · inbound

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task cites this paper.

Schema-R1: A reasoning training approach for schema linking in Text-to-SQL Task DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL

Reference 14

Resolution
unresolved
no resolver link, observed 2026-08-07T01:05:26.746844Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:05:26.746844Z digest=sha256:72a9e4b2da98378941b0f2cc9d4a8c9bfcd2d50a11743d94b5bfcdb4fb3b6b64

Observation da592dd4-c4a2-4e08-ab09-c146cf3aeda5 · 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 DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL

Reference 288

Resolution
verified exact
arxiv_id, observed 2026-05-11T07:45:59.416642Z

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.

source=arxiv_source observed=2026-05-10T16:58:10.013475Z digest=sha256:60dda46a9ad753190e6b2b8dbd4d1a4ef495b00fb039ce6436b8dea14b05fdf9

Observation 646fc35f-535e-4394-9bcd-e59ad38f774a · 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 DataGpt-SQL-7B: An Open-Source Language Model for Text-to-SQL

Reference 273

Resolution
verified exact
arxiv_id, observed 2026-05-11T08:01:00.451718Z

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.

source=arxiv_source observed=2026-05-10T16:51:19.555272Z digest=sha256:6121a4775037aa8f634b1db1dfe361a9d7d04d6d5fceabe486e83397c994941b