Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Unveiling the Spectrum of Data Contamination in Language Models: A Survey from Detection to Remediation
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2406.14644.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-30T17:20:16.735285Z
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 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 2026-08-05T06:32:48.257954+00:00.
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 2026-08-05T06:32:48.257954+00:00.