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Paper Citation Record · LEDGER

A Pilot Study for Chinese SQL Semantic Parsing

As of 20 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1909.13293.

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

pith.paper-citation-record.v1
1909.13293 v2

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 2026-08-20T06:33:59.587034+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:52:21.910140Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T22:28:19.408668Z

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 5f0c144d-d464-44dc-9bef-49a0882d9f0f · inbound

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges cites this paper.

A Survey of Large Language Model-Based Generative AI for Text-to-SQL: Benchmarks, Applications, Use Cases, and Challenges A Pilot Study for Chinese SQL Semantic Parsing

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-11T20:52:21.910140Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T20:52:21.910140Z digest=sha256:53ce0c7f649b13aa0724a39ba2047581783c65237d211850c23ed4e6f4d7956c

Observation b83354ea-302c-48b0-b80d-2a8778ff5601 · inbound

Text2Cypher Across Languages: Evaluating and Finetuning LLMs cites this paper.

Text2Cypher Across Languages: Evaluating and Finetuning LLMs A Pilot Study for Chinese SQL Semantic Parsing

Reference 25

Resolution
metadata mismatch
local_arxiv, observed 2026-08-06T22:28:19.555545Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.

source=pdf_text observed=2026-08-06T22:28:17.011579Z digest=sha256:74620e24daeb86b59323c35c8c8e6cb0b3b7cf3e30ad3aa0f9234cb00f377791