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Paper Citation Record · LEDGER

Benchmarking and Improving Text-to-SQL Generation under Ambiguity

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 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 6 of 6 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 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T21:50:59.359776Z

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 4ce666ac-3c1f-4674-9f7b-dde27e81382f · inbound

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data cites this paper.

LEAP: LLM-powered End-to-end Automatic Library for Processing Social Science Queries on Unstructured Data Benchmarking and Improving Text-to-SQL Generation under Ambiguity

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-10T21:50:59.359776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T21:50:59.359776Z digest=sha256:7e29091ac206bc2ccf5860b5ede4696cf50de1ce5ccaccf6d504225cc4c55407

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=sha256:4e79cc44a83a26d0822b808fd63cdf526c11934fade4c40156508c2c6b8faff2

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=sha256:92014f7dabf8e6adfa8ebb3ab11854e398fa6f041ff7fc8902564af96967bcbf

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=sha256:2ba8466fd88daa02abf5271fcb52dd9422822077660d905644357c1d086c3545

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 2026-08-12T06:34:41.77262+00:00.

source=pdf_text observed=2026-05-09T21:15:51.570343Z digest=sha256:71840ae2ba8930f567a379baa3568b01f72ad913cf007fe0f18c10c4e7e097fd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-05-11T02:28:20.366674Z digest=sha256:eb59bf28f40b8f1d9fad7dbb2baa351605880624e0b7660b66865da895609bc6