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Paper Citation Record · LEDGER

QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.10593.

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

pith.paper-citation-record.v1
2406.10593 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T10:32:11.108989Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T13:12:49.791699Z

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 5f5e7013-bf78-4f74-af5d-57673a73cda5 · inbound

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types cites this paper.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-11T10:32:11.108989Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:32:11.108989Z digest=sha256:97b9fda4e768c0a690399516f63b3dae0eeb61bc50c4eb113316933da637b1ad

Observation df791f3b-7326-48c2-84e1-5e4397871469 · 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 QDA-SQL: Questions Enhanced Dialogue Augmentation for Multi-Turn Text-to-SQL

Reference 112

Resolution
verified exact
local_arxiv, observed 2026-08-07T13:12:49.872811Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-08-07T13:12:43.750270Z digest=sha256:f11c45a0d709a68bd95713f872a284ac44a3321edecc7e1e721b16c4e84d6908