Paper Citation Record · LEDGER

Investigating Data Contamination in Modern Benchmarks for Large Language Models

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 24 inbound Pith citation observations for arXiv:2311.09783.

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

pith.paper-citation-record.v1
2311.09783 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 24 of 24 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T05:12:22.817274Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

9
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation ec73b96e-3e48-43e5-844d-8cc1f4d85384 · inbound

Benchmark Data Contamination of Large Language Models: A Survey cites this paper.

Benchmark Data Contamination of Large Language Models: A Survey Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:10:40.906325Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 233cf14c-0080-43bf-9aba-8f16ba7b6c33 · inbound

LiveBench: A Challenging, Contamination-Limited LLM Benchmark cites this paper.

LiveBench: A Challenging, Contamination-Limited LLM Benchmark Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-15T04:48:26.394739Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 8f8acda0-c1d7-441f-abfe-ccdd8fbb875e · inbound

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look cites this paper.

A Large-Scale Study of Relevance Assessments with Large Language Models: An Initial Look Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-12T21:50:23.956718Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 396bd525-a13b-4500-9158-e533453342e7 · inbound

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit cites this paper.

CODECLEANER: Elevating Standards with A Robust Data Contamination Mitigation Toolkit Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-12T19:19:26.436599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3aab1d25-6f1a-44a9-9c83-d91b7b9db2f1 · inbound

Large Language Models show both individual and collective creativity comparable to humans cites this paper.

Large Language Models show both individual and collective creativity comparable to humans Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T22:46:58.176067Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c29f9d81-4418-49bc-b0a2-ce25fc183b2f · inbound

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge cites this paper.

AntiLeakBench: Preventing Data Contamination by Automatically Constructing Benchmarks with Updated Real-World Knowledge Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-11T12:58:02.012028Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02230e92-85ab-4b48-af74-053c66d8d60d · inbound

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models cites this paper.

UGMathBench: A Diverse and Dynamic Benchmark for Undergraduate-Level Mathematical Reasoning with Large Language Models Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-10T15:40:39.634533Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bae075b8-70e2-44e0-8588-2fd85c0e6973 · inbound

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters cites this paper.

MeDiSumQA: Patient-Oriented Question-Answer Generation from Discharge Letters Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-09T05:15:41.440652Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e558609-c205-45a7-9d6b-e7a4d63507bd · inbound

PRIMETIME : Limits of LLMs in Temporal Primitives cites this paper.

PRIMETIME : Limits of LLMs in Temporal Primitives Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-05-22T18:36:59.121794Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cfe9fe14-5ddc-4dac-b86c-54d81979fc15 · inbound

Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges cites this paper.

Confidence in Large Language Model Evaluation: A Bayesian Approach to Limited-Sample Challenges Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 2023

Resolution: unresolved; no resolver link, observed 2026-08-16T05:12:22.817274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97ab26b4-71d5-4ff2-b03f-f1151be6dd38 · inbound

MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks cites this paper.

MedArabiQ: Benchmarking Large Language Models on Arabic Medical Tasks Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-15T23:55:11.765666Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ba92cf2e-f29a-4d05-959f-1e1c39d58809 · inbound

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion cites this paper.

AbFlowNet: Optimizing Antibody-Antigen Binding Energy via Diffusion-GFlowNet Fusion Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-15T20:40:22.275804Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ebacc265-7c29-422e-9e7c-1ed6523700ef · inbound

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality cites this paper.

Federated In-Context Learning: Iterative Refinement for Improved Answer Quality Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-07T05:42:38.666546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation eb8820db-3ad5-485b-a6b4-cb0519f1b63c · inbound

SciDA: Scientific Dynamic Assessor of LLMs cites this paper.

SciDA: Scientific Dynamic Assessor of LLMs Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-07T00:40:17.481039Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1a274ae-e16c-4f1c-b373-528e1058307a · inbound

League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models cites this paper.

League of LLMs: A Benchmark-Free Paradigm for Mutual Evaluation of Large Language Models Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:01.291053Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 6a902d75-6f93-4099-86b0-e9a87819967a · inbound

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction cites this paper.

ZoFia: Zero-Shot Fake News Detection with Entity-Guided Retrieval and Multi-LLM Interaction Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-05-18T01:50:38.285574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 91ac6d3a-7590-46fd-9add-094893313853 · inbound

ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks cites this paper.

ActuBench: A Multi-Agent LLM Pipeline for Generation and Evaluation of Actuarial Reasoning Tasks Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 4

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:05.144360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 3d6b53c8-ead6-415c-a590-edb84a71c7a6 · inbound

Coordinates of Capability: A Unified MTMM-Geometric Framework for LLM Evaluation cites this paper.

Coordinates of Capability: A Unified MTMM-Geometric Framework for LLM Evaluation Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 6

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T01:46:14.401063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a340f5a-cdf5-44da-8454-28278d68da5a · 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 Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:24:56.558582Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4b27821f-d48b-413e-bfa5-d9f344fe198b · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T03:36:30.302577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7dfa333e-46d4-421f-90ba-f63ecc16cedb · inbound

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection cites this paper.

The Reliability Gap in Benchmark Auditing: Distribution Shift and Scale as Failure Modes of Contamination Detection Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T00:39:16.485829Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 86763adc-0a71-42c0-969b-9498eb69b3d8 · inbound

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier cites this paper.

Breaking the Solver Bottleneck: Training Task Generators at the Learnable Frontier Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T08:57:48.182085Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation b65907d7-b88a-45de-9d53-32fb3f9e9b5d · inbound

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks cites this paper.

SWE-Router: Routing in Multi-turn Agentic Software Engineering Tasks Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 40

Resolution: metadata mismatch; arxiv_id, observed 2026-07-02T18:37:16.481985Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 832cdfff-61ee-400e-9c61-dcf0b491a644 · inbound

Relay-Bench: Evaluating LLMs on Multi-Domain Reasoning Chains cites this paper.

Relay-Bench: Evaluating LLMs on Multi-Domain Reasoning Chains Investigating Data Contamination in Modern Benchmarks for Large Language Models

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T15:29:27.374252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.