Paper Citation Record · LEDGER

Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2402.12243.

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

pith.paper-citation-record.v1
2402.12243 v4

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 2026-08-11T16:24:45.382266Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-11T23:36:13.939721Z

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 79095a59-da8a-4241-9943-0589c042e65a · inbound

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL cites this paper.

ROUTE: Robust Multitask Tuning and Collaboration for Text-to-SQL Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-11T16:24:45.382266Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b6700282-da97-4b7e-a482-837abb2d008e · inbound

Confidence Estimation for Error Detection in Text-to-SQL Systems cites this paper.

Confidence Estimation for Error Detection in Text-to-SQL Systems Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-10T20:01:17.756699Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47955936-776f-4da4-b65d-7b6c9a3d82b0 · inbound

CoddLLM: Empowering Large Language Models for Data Analytics cites this paper.

CoddLLM: Empowering Large Language Models for Data Analytics Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-09T19:30:38.615979Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f034431a-346d-4b7d-a505-30bc5b871529 · inbound

Establishing Best Practices for Building Rigorous Agentic Benchmarks cites this paper.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:27.539316Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7750b7be-dee7-42a5-81eb-e81ed280e19b · inbound

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models cites this paper.

Semantic Layers for Reliable LLM-Powered Data Analytics: A Paired Benchmark of Accuracy and Hallucination Across Three Frontier Models Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:36:13.946478Z

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.

Observation 7f1cdbc8-0842-4bc5-9d1c-b5205592b5f1 · 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 Understanding the Effects of Noise in Text-to-SQL: An Examination of the BIRD-Bench Benchmark

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:25:58.076877Z

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.