Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2411.03923.
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 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-09T22:35:45.132126Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T13:16:58.130004Z
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 bb55b6ed-45c0-445b-a95d-ebfd06e968c7 · inbound
LiveBench: A Challenging, Contamination-Limited LLM Benchmark cites this paper.
LiveBench: A Challenging, Contamination-Limited LLM Benchmark Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-05-15T04:48:26.481297Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation aa2be92d-3aa0-4151-83b0-90cfc9250743 · inbound
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation cites this paper.
Overestimation in LLM Evaluation: A Controlled Large-Scale Study on Data Contamination's Impact on Machine Translation Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:35:45.132126Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 78b94966-d4c8-42f7-95be-366900a8aa7b · inbound
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction cites this paper.
CodeI/O: Condensing Reasoning Patterns via Code Input-Output Prediction Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 39
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T13:11:51.730776Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9d1eb138-e830-4a39-bfb2-be530c42a6d8 · inbound
StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets cites this paper.
StockSim: A Dual-Mode Order-Level Simulator for Evaluating Multi-Agent LLMs in Financial Markets Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:03:26.695956Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e2a72f36-9d7c-4e11-a269-6549549feb13 · inbound
Position: AI Evaluations Should be Grounded on a Theory of Capability cites this paper.
Position: AI Evaluations Should be Grounded on a Theory of Capability Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 44
- Resolution
- verified exact
- arxiv_id, observed 2026-05-21T22:00:41.475033Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation ca0e5472-5a92-4f1e-80c4-6a08e2760cb1 · inbound
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks cites this paper.
QuickScope: Certifying Hard Questions in Dynamic LLM Benchmarks Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 14
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T11:56:29.688964Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 60f42c4b-1ba6-476c-a6b6-5419dd0d799f · inbound
Measuring AI Reasoning: A Guide for Researchers cites this paper.
Measuring AI Reasoning: A Guide for Researchers Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 24
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-09T06:05:36.930166Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation 09cbb8ab-6e55-4a22-91c5-76b151197650 · inbound
Dataset Watermarking for Closed LLMs with Provable Detection cites this paper.
Dataset Watermarking for Closed LLMs with Provable Detection Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 16
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T05:00:57.253215Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation c3d3fcce-b28a-408a-bbfd-68acd20b10e8 · inbound
Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild cites this paper.
Towards Evaluation Engineering: An Empirical Study of ML Evaluation Harnesses in the Wild Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:44:45.153124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation a8712fb1-cb99-4579-95f3-03c93b80a763 · inbound
Amplifying Membership Signal Through Chained Regeneration cites this paper.
Amplifying Membership Signal Through Chained Regeneration Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 32
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T09:45:39.288910Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation fd18870b-ebe7-4d86-91f6-677dc74517e0 · inbound
MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages cites this paper.
MultiSynt/MT: Trillion-Token Multi-Parallel Pre-Training Data Translated Across 36 Languages Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 88
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T13:16:58.131717Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.
Observation e9a46123-ac97-4ffe-a532-9b4ac9c3f628 · inbound
Same Question, Different Answers: Evaluating LLM Reliability Beyond Accuracy cites this paper.
Same Question, Different Answers: Evaluating LLM Reliability Beyond Accuracy Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-02T13:46:09.669375Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c0328c06-8a03-4415-88fd-e754b03f040c · inbound
Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores cites this paper.
Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores Evaluation data contamination in LLMs: how do we measure it and (when) does it matter?
Reference 2017
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:31:04.401902Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.