Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Investigating Data Contamination for Pre-training Language Models
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2401.06059.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:34.145164Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T21:17:24.167881Z
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 89a0abb8-07bf-4c42-a787-5cfdcd8e09cd · inbound
CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting cites this paper.
CapBencher: Give Your LLM Benchmark a Built-in Alarm for Test-Set Overfitting Investigating Data Contamination for Pre-training Language Models
Reference 10
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:34.145164Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b460b024-0bbc-47a7-b8f4-f7159f6800f8 · inbound
Can Vision Language Models Understand Mimed Actions? cites this paper.
Can Vision Language Models Understand Mimed Actions? Investigating Data Contamination for Pre-training Language Models
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T00:23:41.260222Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 367caea1-da5b-4b5a-98a1-cae7a28bf80c · inbound
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data cites this paper.
Real-TabPFN: Improving Tabular Foundation Models via Continued Pre-training With Real-World Data Investigating Data Contamination for Pre-training Language Models
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:02:23.208794Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ede787cc-e818-4db0-be20-9d383381e5f6 · inbound
Investigating Training Data Detection in AI Coders cites this paper.
Investigating Training Data Detection in AI Coders Investigating Data Contamination for Pre-training Language Models
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T14:51:53.769972Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bd36c6b1-c8ed-4339-b358-6869b3900492 · inbound
Dataset Watermarking for Closed LLMs with Provable Detection cites this paper.
Dataset Watermarking for Closed LLMs with Provable Detection Investigating Data Contamination for Pre-training Language Models
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:00:57.277115Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation b54ef219-da74-42cc-9569-2fe133ae6f25 · inbound
LLM Benchmark Datasets Should Be Contamination-Resistant cites this paper.
LLM Benchmark Datasets Should Be Contamination-Resistant Investigating Data Contamination for Pre-training Language Models
Reference 86
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T07:23:07.050056Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 5377c182-e0ca-4f62-8394-9bcfe8a2581a · inbound
How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness cites this paper.
How Hard is it to Rig a Benchmark? A Social Choice Analysis of Leaderboard Robustness Investigating Data Contamination for Pre-training Language Models
Reference 13
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:40:24.421044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation 20189093-0b97-45f4-8f59-facd5b977006 · inbound
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models cites this paper.
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models Investigating Data Contamination for Pre-training Language Models
Reference 11
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T12:04:38.792275Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation f0e50035-da39-45b2-a795-5de66d88e973 · inbound
DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.
DataComp-VLM: Improved Open Datasets for Vision-Language Models Investigating Data Contamination for Pre-training Language Models
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T15:45:47.570680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation d690820f-a685-4ea9-92b7-ecfc5e511bf7 · inbound
DataComp-VLM: Improved Open Datasets for Vision-Language Models cites this paper.
DataComp-VLM: Improved Open Datasets for Vision-Language Models Investigating Data Contamination for Pre-training Language Models
Reference 115
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T21:17:24.169298Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.