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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=sha256:87e724091618fad6d05c51abd3637b4513ce3eedde77b1fcce61852da58555b2

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=sha256:9b9319ce417dfb75cfe5c81de41950c02d962fd030a969017bf01c34ddf2a993

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:d1d6e6d8c06361cec6da10e875c6735c90e64573d9c5c04d62c5a5c1ddb2795d

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=sha256:590a2ef52ada3408850f08149a96dbad4f03dff21022522b66fa05511a49f1be

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=sha256:8f05544ae23c77e6ac97300f0d5378e68d33b942d994396d76750bd4b618c7ec

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:f5067e137440d128efa3349b2fcc17e4629f1745bebdc071f20c4975da9dc2ba