Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.18966.
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 2026-08-08T06:32:00.761636+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T12:35:26.123753Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-06-30T17:24:57.266986Z
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 d447cf9b-c72d-4059-a0f0-3344f8a8dc83 · inbound
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation cites this paper.
Simulating Training Data Leakage in Multiple-Choice Benchmarks for LLM Evaluation Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:35:26.123753Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0c979179-8f2d-4a0a-9680-0712adabbf0c · 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 Does Data Contamination Detection Work (Well) for LLMs? A Survey and Evaluation on Detection Assumptions
Reference 17
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T17:24:57.268476Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.