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Paper Citation Record · LEDGER

Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2406.14644.

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

pith.paper-citation-record.v1
2406.14644 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:46:46.159536Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-30T17:24:57.269770Z

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 15023179-5139-48d3-a2d3-5aa25b6eb74e · inbound

ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems cites this paper.

ABench-Physics: Benchmarking Physical Reasoning in LLMs via High-Difficulty and Dynamic Physics Problems Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-06T19:46:46.159536Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T19:46:46.159536Z digest=sha256:bd7d3a41a822a9583c604ac03771dfc8c5694d0da710a01d07bfc7f56d9e1c8b

Observation e8c9e261-7ba9-4bea-b90d-633a111dbb4a · inbound

Search-Time Data Contamination cites this paper.

Search-Time Data Contamination Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

Reference 3

Resolution
unresolved
no resolver link, observed 2026-08-05T21:08:05.079357Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-05T21:08:05.079357Z digest=sha256:0619c54a57ebc5549159922fae9c3d7f268d4d09a5cd2f39a6d82ee46223b14a

Observation f341e5ea-9ab1-48ca-939a-c465c6017100 · inbound

Graph-Based Alternatives to LLMs for Human Simulation cites this paper.

Graph-Based Alternatives to LLMs for Human Simulation Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

Reference 16

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:50:33.390993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-18T00:47:40.432039Z digest=sha256:a8137c27919c0ea1ab0e6b38a41866dec1aee1aa2071f1c3f5afcbe874544f3b

Observation 8ceb0e55-b887-4c04-9af0-e4c5f0325ade · inbound

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications cites this paper.

Pretraining Data Exposure in Large Language Models: A Survey of Membership Inference, Data Contamination, and Security Implications Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-06-30T17:24:57.271174Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T17:20:16.735285Z digest=sha256:b1ce88c0c95338c93fd2fc4dd39f31e07b41d92828672a2f5d3397b2e5030480