Paper Citation Record · LEDGER

Benchmarking Benchmark Leakage in Large Language Models

As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 50 inbound Pith citation observations for arXiv:2404.18824.

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

pith.paper-citation-record.v1
2404.18824 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 50 of 50 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 50 of 50 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-16T11:57:15.748808Z

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

5
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 35845f36-317b-421a-94c2-f2807d182c79 · inbound

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models cites this paper.

Omni-MATH: A Universal Olympiad Level Mathematic Benchmark For Large Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 72

Resolution: metadata mismatch; arxiv_id, observed 2026-05-15T09:09:15.062242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e6a2f3b7-9e67-434d-96b4-8ebd827c55a1 · inbound

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models cites this paper.

VideoCogQA: A Controllable Benchmark for Evaluating Cognitive Abilities in Video-Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-12T21:07:09.658023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 91903aa1-6de5-4571-be83-ce728ec2225b · inbound

Are Large Language Models Memorizing Bug Benchmarks? cites this paper.

Are Large Language Models Memorizing Bug Benchmarks? Benchmarking Benchmark Leakage in Large Language Models

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-12T16:38:42.284289Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation de6c23c1-c11c-4110-9e8a-2f8e4e62b384 · inbound

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels cites this paper.

CNNSum: Exploring Long-Context Summarization with Large Language Models in Chinese Novels Benchmarking Benchmark Leakage in Large Language Models

Reference 5

Resolution: malformed identifier; no resolver link, observed 2026-08-11T23:09:32.524149Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f589d2df-966e-4b15-a73d-9f80d7ae1311 · inbound

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs cites this paper.

QUENCH: Measuring the gap between Indic and Non-Indic Contextual General Reasoning in LLMs Benchmarking Benchmark Leakage in Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-11T14:40:29.599620Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0987000-d762-46b5-9b84-d3d3b0efc085 · inbound

Large Language Models for Mathematical Analysis cites this paper.

Large Language Models for Mathematical Analysis Benchmarking Benchmark Leakage in Large Language Models

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-10T23:27:39.903073Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c062c923-6be8-43bf-878c-a578ffa12f7a · inbound

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards cites this paper.

Exploring and Mitigating Adversarial Manipulation of Voting-Based Leaderboards Benchmarking Benchmark Leakage in Large Language Models

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:44:33.033248Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3730f6b9-d06d-41b0-b116-0aca4d3b5cc3 · inbound

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models cites this paper.

JustLogic: A Comprehensive Benchmark for Evaluating Deductive Reasoning in Large Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-10T15:04:55.640338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc7cd146-896d-4efd-88a2-9f264f2ea236 · inbound

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models cites this paper.

UGPhysics: A Comprehensive Benchmark for Undergraduate Physics Reasoning with Large Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 68

Resolution: unresolved; no resolver link, observed 2026-08-09T19:27:46.877517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f36a13b3-4485-4c8e-9e26-7ec039e89033 · inbound

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation cites this paper.

Can We Trust AI Benchmarks? An Interdisciplinary Review of Current Issues in AI Evaluation Benchmarking Benchmark Leakage in Large Language Models

Reference 135

Resolution: unresolved; no resolver link, observed 2026-08-08T15:06:55.379586Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e677b2b1-af21-474d-a58f-b061c5d09c2f · inbound

Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion cites this paper.

Hypothetical Documents or Knowledge Leakage? Rethinking LLM-based Query Expansion Benchmarking Benchmark Leakage in Large Language Models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T11:57:15.748808Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 608bd7f2-ffaf-47f5-8cb9-d0a78d2b027b · inbound

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs cites this paper.

Stochastic Chameleons: Irrelevant Context Hallucinations Reveal Class-Based (Mis)Generalization in LLMs Benchmarking Benchmark Leakage in Large Language Models

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-07T13:09:24.597486Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cbd67ca9-a106-43a1-a3b5-d6a351c50b4f · 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 Benchmarking Benchmark Leakage in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T12:35:28.982799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5f296d6-5c29-4bf5-a846-f1b33b22266a · inbound

Evaluating the Sensitivity of LLMs to Prior Context cites this paper.

Evaluating the Sensitivity of LLMs to Prior Context Benchmarking Benchmark Leakage in Large Language Models

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:46.260189Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 61f9a667-6db2-4864-ae3c-66699921e2b4 · inbound

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis cites this paper.

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis Benchmarking Benchmark Leakage in Large Language Models

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:26.386550Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 79604d1c-895d-4767-aba9-8317fdb7eda2 · inbound

Chain of Methodologies: Scaling Test Time Computation without Training cites this paper.

Chain of Methodologies: Scaling Test Time Computation without Training Benchmarking Benchmark Leakage in Large Language Models

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-07T05:50:37.198751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9a361e93-bc4a-4fe3-8ff8-29e3ba0a6029 · inbound

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics cites this paper.

OIBench: Benchmarking Strong Reasoning Models with Olympiad in Informatics Benchmarking Benchmark Leakage in Large Language Models

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-07T04:33:11.477391Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5349fefa-a554-421c-82ef-0da9cf739b54 · inbound

ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities cites this paper.

ConsistencyChecker: Tree-based Evaluation of LLM Generalization Capabilities Benchmarking Benchmark Leakage in Large Language Models

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-07T00:57:10.929888Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9b1cdac-411b-4f68-9f04-6e3dc58cf728 · inbound

Can Vision Language Models Understand Mimed Actions? cites this paper.

Can Vision Language Models Understand Mimed Actions? Benchmarking Benchmark Leakage in Large Language Models

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:50.139856Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ad11074b-4823-46d4-91e6-e3be25d48af1 · inbound

Deprecating Benchmarks: Criteria and Framework cites this paper.

Deprecating Benchmarks: Criteria and Framework Benchmarking Benchmark Leakage in Large Language Models

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:40.526852Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1481c7fa-2543-4237-a743-10a1e134b5b1 · inbound

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models cites this paper.

Exploiting Leaderboards for Large-Scale Distribution of Malicious Models Benchmarking Benchmark Leakage in Large Language Models

Reference 105

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:15.997858Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a2ae8d-e388-4217-b3eb-eedbb3fa2312 · inbound

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines cites this paper.

GeoLaux: A Benchmark for Evaluating MLLMs' Geometry Performance on Long-Step Problems Requiring Auxiliary Lines Benchmarking Benchmark Leakage in Large Language Models

Reference 36

Resolution: metadata mismatch; arxiv_id, observed 2026-05-19T00:41:56.045788Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 4cdd65dc-7dfe-4e5b-8d6e-e89609178a30 · inbound

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering cites this paper.

Correcting Prompt Dependence in LLM Benchmarks: A Bayesian Hierarchical Model with Embedding-Space Clustering Benchmarking Benchmark Leakage in Large Language Models

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-04T11:19:50.832030Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2ede590-2b75-4e82-a160-b3e8b2954827 · inbound

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science cites this paper.

MatSciBench: Benchmarking the Reasoning Ability of Large Language Models in Materials Science Benchmarking Benchmark Leakage in Large Language Models

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-04T10:00:42.785560Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9d533bd6-19d6-4c41-9c84-3633a1f2fddf · inbound

LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation cites this paper.

LLMs Judge Themselves: A Game-Theoretic Framework for Human-Aligned Evaluation Benchmarking Benchmark Leakage in Large Language Models

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T06:20:59.061010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation a32d5988-584d-4f29-9cb3-540f7386a92a · inbound

FiMMIA: scaling semantic perturbation-based membership inference across modalities cites this paper.

FiMMIA: scaling semantic perturbation-based membership inference across modalities Benchmarking Benchmark Leakage in Large Language Models

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-03T19:00:46.849166Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9ae0c76b-85e0-4c01-be3a-10fb040c358b · inbound

Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners cites this paper.

Large Reasoning Models Are (Not Yet) Multilingual Latent Reasoners Benchmarking Benchmark Leakage in Large Language Models

Reference 10

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T17:28:10.516390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5c566624-e304-4be1-af2a-30111054f033 · inbound

SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora cites this paper.

SoftMatcha 2: A Fast and Soft Pattern Matcher for Trillion-Scale Corpora Benchmarking Benchmark Leakage in Large Language Models

Reference 78

Resolution: unresolved; no resolver link, observed 2026-08-03T01:02:46.482669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9ccfd0b-1ad1-45a5-8e21-17c30ff436fd · inbound

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics cites this paper.

LemmaBench: A Live, Research-Level Benchmark to Evaluate LLM Capabilities in Mathematics Benchmarking Benchmark Leakage in Large Language Models

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-02T20:05:57.424441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c35f61c7-01d6-473a-9633-244972149695 · inbound

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events cites this paper.

MADE: A Living Benchmark for Multi-Label Text Classification with Uncertainty Quantification of Medical Device Adverse Events Benchmarking Benchmark Leakage in Large Language Models

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-10T11:20:10.039975Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation bc4a7044-8616-4f93-b7da-af4e042ed8db · inbound

SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks cites this paper.

SPENCE: A Syntactic Probe for Detecting Contamination in NL2SQL Benchmarks Benchmarking Benchmark Leakage in Large Language Models

Reference 15

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T12:05:23.386113Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 2a72359c-2c5f-47d6-a70a-8e728236879b · inbound

When Agents Look the Same: Quantifying Distillation-Induced Similarity in Tool-Use Behaviors cites this paper.

When Agents Look the Same: Quantifying Distillation-Induced Similarity in Tool-Use Behaviors Benchmarking Benchmark Leakage in Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T14:16:18.734289Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation b5e0477a-8a71-4b88-a2c8-c5c88ac8a16a · inbound

AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models cites this paper.

AutoRISE: Agent-Driven Strategy Evolution for Red-Teaming Large Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 1

Resolution: verified exact; arxiv_id, observed 2026-05-11T14:51:05.376351Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 79bdc75f-a803-40bf-8fcb-ae2fd06e01c5 · inbound

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity cites this paper.

Measuring Evaluation-Context Divergence in Open-Weight LLMs: A Paired-Prompt Protocol with Pilot Evidence of Alignment-Pipeline-Specific Heterogeneity Benchmarking Benchmark Leakage in Large Language Models

Reference 17

Resolution: metadata mismatch; arxiv_id, observed 2026-05-08T22:04:18.120684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 88f9965b-edb3-4822-a956-bfb4c39b339f · inbound

PITMuS: A Tool for Automated Bug Dataset Generation via Source-Level Mutant Reconstruction cites this paper.

PITMuS: A Tool for Automated Bug Dataset Generation via Source-Level Mutant Reconstruction Benchmarking Benchmark Leakage in Large Language Models

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-22T05:24:38.150937Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c7b760cf-d7b0-4618-b25d-e4cca102112c · inbound

PITMuS: A Tool for Automated Bug Dataset Generation via Source-Level Mutant Reconstruction cites this paper.

PITMuS: A Tool for Automated Bug Dataset Generation via Source-Level Mutant Reconstruction Benchmarking Benchmark Leakage in Large Language Models

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-04T05:04:55.845629Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 110f064d-adfe-4ee6-af45-a46623d8e8eb · inbound

VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation cites this paper.

VeriScale: Adversarial Test-Suite Scaling for Verifiable Code Generation Benchmarking Benchmark Leakage in Large Language Models

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-05-22T08:21:16.994334Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 5e7df553-c4ce-4300-bb33-ea55a9c64edf · inbound

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs cites this paper.

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs Benchmarking Benchmark Leakage in Large Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T22:15:04.884435Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 3732a0e4-37ef-43f7-948a-ee90bf729cdc · inbound

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs cites this paper.

LGMT: Logic-Grounded Metamorphic Testing for Evaluating the Reasoning Reliability of LLMs Benchmarking Benchmark Leakage in Large Language Models

Reference 56

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T01:29:21.760196Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 7725151a-1a91-4028-a8ae-bdefd39a0a07 · inbound

Can AI Agents Synthesize Scientific Conclusions? cites this paper.

Can AI Agents Synthesize Scientific Conclusions? Benchmarking Benchmark Leakage in Large Language Models

Reference 132

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T05:47:41.425924Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e5930678-901f-4aff-a538-6f425fcd1788 · inbound

Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation cites this paper.

Bridging Functional Correctness and Runtime Efficiency Gaps in LLM-Based Code Translation Benchmarking Benchmark Leakage in Large Language Models

Reference 11

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T21:08:57.953176Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 8970d1b1-991c-44bf-aad8-faefee56bfd7 · inbound

Uncertainty-based Debiasing and Unlearning for Decontamination cites this paper.

Uncertainty-based Debiasing and Unlearning for Decontamination Benchmarking Benchmark Leakage in Large Language Models

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T12:49:52.411522Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 027965fd-2235-4d53-a6cf-2e475773e4e1 · inbound

OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents cites this paper.

OpenFinGym: A Verifiable Multi-Task Gym Environment for Evaluating Quant Agents Benchmarking Benchmark Leakage in Large Language Models

Reference 45

Resolution: metadata mismatch; arxiv_id, observed 2026-07-04T15:39:57.055022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation e127fd19-8449-43fe-89da-9f0f04b55cb4 · inbound

SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models cites this paper.

SrDetection: A Self-Referential Framework for Data Leakage Detection in Code Large Language Models Benchmarking Benchmark Leakage in Large Language Models

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T06:24:18.372738Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation c4746815-ff22-47ec-924e-2d076714c243 · inbound

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG cites this paper.

Wait, am I Being Fair? Characterizing Deductive Stereotyping and Mitigating It with Fair-GCG Benchmarking Benchmark Leakage in Large Language Models

Reference 97

Resolution: metadata mismatch; arxiv_id, observed 2026-07-01T01:15:13.184152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation 71a2da4b-1397-486a-9975-79a067ba5313 · inbound

Meta-Benchmarks for Financial-Services LLM Evaluation cites this paper.

Meta-Benchmarks for Financial-Services LLM Evaluation Benchmarking Benchmark Leakage in Large Language Models

Reference 31

Resolution: verified exact; arxiv_id, observed 2026-07-03T14:18:22.673308Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

Observation f0c8bc16-9060-40f1-86cf-5ceed93a0191 · inbound

Navigating the Open-Source Model Ecosystem: An Empirical Study of Creator Practices in Artistic Image Generation cites this paper.

Navigating the Open-Source Model Ecosystem: An Empirical Study of Creator Practices in Artistic Image Generation Benchmarking Benchmark Leakage in Large Language Models

Reference 44

Resolution: unresolved; no resolver link, observed 2026-07-14T10:58:56.777252Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f42e648e-7f65-4ff9-8770-9e6a013df65d · inbound

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents cites this paper.

Beyond Success Rate: Cost-Aware Evaluation of Offensive and Defensive Security Agents Benchmarking Benchmark Leakage in Large Language Models

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T23:44:37.126253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 403211e6-ef5c-494e-a568-3b88a48bfefb · inbound

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data cites this paper.

SenWorld: A Digital-Twin Simulation for Generating Context-Rich Evaluation Data Benchmarking Benchmark Leakage in Large Language Models

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-01T11:16:11.626141Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1e3a030c-b9bf-4faf-a812-f2a6152c4c70 · inbound

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers cites this paper.

LLMRouter: Unified Infrastructure for Developing, Evaluating, and Deploying LLM Routers Benchmarking Benchmark Leakage in Large Language Models

Reference 236

Resolution: unresolved; no resolver link, observed 2026-08-15T14:34:14.741919Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.