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Paper Citation Record · LEDGER

Benchmarking and Improving Text-to-SQL Generation under Ambiguity

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2310.13659.

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

pith.paper-citation-record.v1
2310.13659 v1

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 2026-08-07T14:21:56.484435Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T14:41:23.873414Z

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 32419bea-db16-4a8b-bdbb-1bf30247b891 · inbound

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity cites this paper.

ODIN: A NL2SQL Recommender to Handle Schema Ambiguity Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-07T14:21:56.484435Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:21:56.484435Z digest=sha256:158c40c917cca4071f248e0cc10e7cc074c7f118db143273cf0f423bd64f0d8b

Observation fe58a6f4-3ae7-4019-94bf-5b0c02a9eafb · inbound

Interactive Text-to-SQL via Expected Information Gain for Disambiguation cites this paper.

Interactive Text-to-SQL via Expected Information Gain for Disambiguation Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-06T19:17:15.898796Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:17:15.898796Z digest=sha256:590a131841b151f19905d89d1fd9ebc0b3b02ffb78a93d86952fe1874f6c3c47

Observation 90451de5-de3d-4a8b-9220-c6569bf3cb48 · inbound

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling cites this paper.

TimeMKG: Knowledge-Infused Causal Reasoning for Multivariate Time Series Modeling Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 2

Resolution
unresolved
no resolver link, observed 2026-08-05T20:57:16.904497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T20:57:16.904497Z digest=sha256:7883068a6bb885903f030c90252886c9834a06d1f834253a4308436922b09da9

Observation 2a993f28-cc69-4b34-943c-965f6478de1f · inbound

Assessing the Impact of Requirement Ambiguity on LLM-based Function-Level Code Generation cites this paper.

Assessing the Impact of Requirement Ambiguity on LLM-based Function-Level Code Generation Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-11T14:41:23.877373Z

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=pdf_text observed=2026-05-09T21:15:51.570343Z digest=sha256:97c36f031ebb75029a8cf5e5ff06d086dc7b023b0175b83870df4541b42983d0

Observation 3dfe1a53-7933-4793-958c-da7dd1f12384 · inbound

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation cites this paper.

CA-SQL: Complexity-Aware Inference Time Reasoning for Text-to-SQL via Exploration and Compute Budget Allocation Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:25:58.273686Z

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=2026-05-11T02:28:20.366674Z digest=sha256:cb1dc7f66cb66af5466bd8239d8e8b8fdf5bfb7f2056f11136fa287181cbe8a3