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Paper Citation Record · LEDGER

Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2402.11517.

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

pith.paper-citation-record.v1
2402.11517 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 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 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:19:33.055710Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T11:56:29.445779Z

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 15c372f9-6f1c-4e72-9752-506d74119193 · inbound

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL cites this paper.

Knowledge Base Construction for Knowledge-Augmented Text-to-SQL Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-07T13:19:33.055710Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:19:33.055710Z digest=sha256:cb4d90ebd9df89998f28ce184c226d4e14508aa2573c473a59f71f6c1adced29

Observation 6a7af6fb-cf5b-4c9c-aecf-29fdd2fb61f0 · 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 Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T05:43:46.544233Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:43:46.544233Z digest=sha256:717dbce68d31cac84a979386585afa4e2b2f01e7eee755d36f241bbb4eb1956b

Observation 1a9c42a5-3d5a-49ce-ab1e-e078c828db8b · inbound

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation cites this paper.

FaithfulRAG: Fact-Level Conflict Modeling for Context-Faithful Retrieval-Augmented Generation Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-07T05:03:06.814929Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T05:03:06.814929Z digest=sha256:d413c39e9ff9a1b82e6c4f7dcdc241d91a4a607e1eca322d51e0cd7e59ff5668

Observation 0d776694-b6bf-4dbd-93a5-370af3121333 · inbound

Enhancing Large Language Models with Reliable Knowledge Graphs cites this paper.

Enhancing Large Language Models with Reliable Knowledge Graphs Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T00:42:57.925661Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T00:42:57.925661Z digest=sha256:cbb8092df594856ca09675a466e5a17699e912ef343352f69891f702a4fcd78c

Observation d2d37054-f696-4306-8bc1-15daa0ba3cc0 · inbound

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking cites this paper.

PDDL-Mind: Large Language Models are Capable on Belief Reasoning with Reliable State Tracking Knowledge-to-SQL: Enhancing SQL Generation with Data Expert LLM

Reference 58

Resolution
verified exact
arxiv_id, observed 2026-05-11T11:56:29.448876Z

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=2026-05-10T04:27:16.043186Z digest=sha256:69a6c3b7bb1bb53697b6d9ab9fb2e1bd29581d8d9fbbc1d9eae2d478c53ddf34