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Paper Citation Record · LEDGER

TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2403.15879.

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

pith.paper-citation-record.v1
2403.15879 v6

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 2026-08-22T06:32:14.747728+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T20:46:34.908535Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:36:21.953046Z

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 153408e1-673a-4b8f-861f-539a3bbe89db · inbound

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types cites this paper.

Evaluating and Enhancing LLMs for Multi-turn Text-to-SQL with Multiple Question Types TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-11T10:32:11.088269Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T10:32:11.088269Z digest=sha256:4d0f31edb34f0ec4baf823282ed4eeeddcee6c041af8c204fad5b9896299e3b9

Observation 13541e1a-df26-417e-b6fa-8d8f740bc0f4 · inbound

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

Confidence Estimation for Error Detection in Text-to-SQL Systems TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-10T20:01:17.650837Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T20:01:17.650837Z digest=sha256:229f0696a178984f8631dc76660a7c6ab7e94acce9dc602b64e50db461acc82a

Observation e6a1e1ab-69f5-44c6-8d1b-80e8b61ea4f8 · inbound

Confidence Estimation for Text-to-SQL in Large Language Models cites this paper.

Confidence Estimation for Text-to-SQL in Large Language Models TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 23

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:36:21.960556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-08-05T22:36:21.628802Z digest=sha256:0fb3acd5442dce17c89c75c10a634db10e0bae5f511f0538a3786a08610bc725

Observation 436eadbe-0ed3-4321-934f-73f24d1caae6 · inbound

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? cites this paper.

ReliableTableQA:How Much Supervision Does Reliability Annotation Need? TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 4

Resolution
unresolved
no resolver link, observed 2026-08-02T07:35:30.764298Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T07:35:30.764298Z digest=sha256:50d95e50f81946a9d9c72c4f473dfbb60d4429a4e790f792eaf59451e8f49370

Observation 93ca7e99-8c1f-41a8-a39b-f193a0ff9f5c · inbound

Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline cites this paper.

Business Truth, not SQL Accuracy: A Rule-Gated 7B Analytics Agent Outperforms a Direct-Prompted 32B Baseline TrustSQL: Benchmarking Text-to-SQL Reliability with Penalty-Based Scoring

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-11T20:46:34.908535Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T20:46:34.908535Z digest=sha256:3eca50ea77aba0595da6bb3fb47ae332c503d0420ad443e2ab560d8b0105eb43