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Paper Citation Record · LEDGER

Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation

As of 18 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.08100.

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

pith.paper-citation-record.v1
2402.08100 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:36:56.320629Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:10:41.053674Z

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 86c841ab-f628-48b6-849c-fbff6bd27a40 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation

Reference 123

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:10:41.056111Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

source=pdf_text observed=2026-05-22T23:10:40.420241Z digest=sha256:ec26bcdac7f5039335c5d5dc674cac638cd1cfd77f1d8a3d4d8544c71ab5fe3b

Observation c243d202-091f-4772-ab7c-ead6da3e5bc2 · inbound

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark cites this paper.

MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark Investigating the Impact of Data Contamination of Large Language Models in Text-to-SQL Translation

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-11T11:36:56.320629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T11:36:56.320629Z digest=sha256:6be6cc3b2c16fb654d98b96ed4dd713ef5d4e03c7094f43135f7157c4f3999a9