Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 59 inbound Pith citation observations for arXiv:2311.04850.
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 2026-08-22T06:32:14.747728+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-16T11:09:46.693633Z
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
7
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 26dde097-e60d-47b9-ba7b-9ca5f4315064 · inbound
Benchmark Data Contamination of Large Language Models: A Survey cites this paper.
Benchmark Data Contamination of Large Language Models: A Survey Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 170
- Resolution
- verified exact
- arxiv_id, observed 2026-05-22T23:10:41.134008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 79ffe552-61e5-4673-bf9b-bc4fde5114c9 · inbound
DataComp-LM: In search of the next generation of training sets for language models cites this paper.
DataComp-LM: In search of the next generation of training sets for language models Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 208
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-17T22:58:17.334977Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation d04fd98e-06bd-41e4-af68-e6b519a0ec47 · inbound
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools cites this paper.
ChatGLM: A Family of Large Language Models from GLM-130B to GLM-4 All Tools Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 50
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:08:09.653347Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 3e02f0b5-fa3c-42a0-9cb9-bbfa84a9327a · inbound
Text2Cypher: Bridging Natural Language and Graph Databases cites this paper.
Text2Cypher: Bridging Natural Language and Graph Databases Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 31
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T16:26:04.675767Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df4d665a-8012-494f-a772-a0c13eb4b3b4 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T12:58:02.289913Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 08f10b90-0c52-45e5-b59e-f67d6f0a9ac9 · inbound
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark cites this paper.
MMLU-CF: A Contamination-free Multi-task Language Understanding Benchmark Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 42
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:36:56.383219Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1c213eeb-cfae-46b5-9236-bb1ad4c61d7e · inbound
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation cites this paper.
Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 32
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T15:09:39.173471Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ac7606fa-bfa5-4291-b7d0-361a84b6553a · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T22:35:45.141387Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f0d39c96-8140-4530-b269-887097046d2b · inbound
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence cites this paper.
How Contaminated Is Your Benchmark? Quantifying Dataset Leakage in Large Language Models with Kernel Divergence Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 18
- Resolution
- unresolved
- no resolver link, observed 2026-08-09T18:11:35.042417Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 721c1b03-93f3-4b00-a4dc-c92cdd4ae55f · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 136
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T15:06:55.384462Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 246859ee-fbaf-4caa-ba72-24d790e7d46a · inbound
Unbiased Evaluation of Large Language Models from a Causal Perspective cites this paper.
Unbiased Evaluation of Large Language Models from a Causal Perspective Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 2025
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T14:51:15.489455Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 281802d4-4a9d-4fd0-ae13-ad09cbb00999 · inbound
POPri: Private Federated Learning using Preference-Optimized Synthetic Data cites this paper.
POPri: Private Federated Learning using Preference-Optimized Synthetic Data Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 55
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T11:09:46.693633Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 270df203-488c-4990-a75c-be6caf8aa4e4 · inbound
The Leaderboard Illusion cites this paper.
The Leaderboard Illusion Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 103
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T05:22:55.708255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2808fab0-37a0-48f2-a689-51a99df2f1a0 · inbound
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches cites this paper.
Teach2Eval: An Indirect Evaluation Method for LLM by Judging How It Teaches Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:42:58.004610Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efb6c51e-5550-44c5-afc0-714182503268 · inbound
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code cites this paper.
EffiBench-X: A Multi-Language Benchmark for Measuring Efficiency of LLM-Generated Code Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 71
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T20:26:06.238476Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 775566c9-a666-4c3c-a592-902782fcb963 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T14:44:35.529969Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fb1ad3e0-5e03-4ab1-aeff-d7c4f5f9f56d · inbound
SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation cites this paper.
SwiftEval: Developing a Language-Specific Benchmark for LLM-generated Code Evaluation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:29:18.525978Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 0a0588e0-0c37-4bd2-95fb-f1c7e168d36e · inbound
BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation cites this paper.
BenchHub: A Unified Benchmark Suite for Holistic and Customizable LLM Evaluation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T12:08:17.369531Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 3826a019-05ea-4d9a-9365-5c3523deaad8 · inbound
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment cites this paper.
CodeMorph: Mitigating Data Leakage in Large Language Model Assessment Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 41
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T19:10:37.265620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b690f495-6cb2-4638-a9e5-a77112b77557 · inbound
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique cites this paper.
OpenCodeReasoning-II: A Simple Test Time Scaling Approach via Self-Critique Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 57
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T18:11:20.143746Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ea4ec8ab-bfca-45cd-acfa-51f14490acd4 · inbound
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework cites this paper.
How Much Do Large Language Model Cheat on Evaluation? Benchmarking Overestimation under the One-Time-Pad-Based Framework Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 44
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T18:01:55.799239Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1bb22ce2-c68b-422d-948d-2f1f77c32e39 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 47
- Resolution
- verified exact
- arxiv_id, observed 2026-05-19T03:22:01.341453Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 8fca8ffb-2cd4-4adf-b168-b5219a677eb7 · inbound
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report cites this paper.
Llama-3.1-FoundationAI-SecurityLLM-8B-Instruct Technical Report Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T05:57:29.511258Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 081e16bc-34c9-4643-bd6c-44f61643b2e9 · inbound
Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation cites this paper.
Icon$^{2}$: Aligning Large Language Models Using Self-Synthetic Preference Data via Inherent Regulation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T16:26:28.295748Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 54c99d7c-0932-4665-88df-4cafaffd7561 · inbound
LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories cites this paper.
LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-18T14:36:28.943124Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1cf0bda5-0b6e-4ddb-b0ff-0793c0142615 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-04T11:19:51.012398Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d25e5c67-f333-4fda-b471-faf6e2b0bdff · inbound
Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation cites this paper.
Compiled AI: Deterministic Code Generation for LLM-Based Workflow Automation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 22
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-10T23:40:51.520975Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 548a2693-0ac5-442b-aac0-89d3bec954ea · inbound
DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math? cites this paper.
DRBENCHER: Can Your Agent Identify the Entity, Retrieve Its Properties and Do the Math? Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 14
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T08:11:04.832167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 47e2479c-fb1f-496d-827e-eaaf883b2921 · inbound
TPS-CalcBench: A Benchmark and Diagnostic Evaluation Framework for LLM Analytical Calculation Competence in Hypersonic Thermal Protection System Engineering cites this paper.
TPS-CalcBench: A Benchmark and Diagnostic Evaluation Framework for LLM Analytical Calculation Competence in Hypersonic Thermal Protection System Engineering Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 49
- Resolution
- verified exact
- arxiv_id, observed 2026-05-10T09:23:37.514127Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 22b7cd4d-8090-460d-9758-5f01a02de39b · inbound
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation cites this paper.
When Prompt Under-Specification Improves Code Correctness: An Exploratory Study of Prompt Wording and Structure Effects on LLM-Based Code Generation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 44
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-11T22:17:06.819446Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6fd5b37e-9661-4f13-97f0-0af6e7d0b045 · inbound
Measuring AI Reasoning: A Guide for Researchers cites this paper.
Measuring AI Reasoning: A Guide for Researchers Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-05-09T06:05:36.959600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1b15f2a6-e35a-4bde-a1ba-9bf71adfead8 · inbound
Agent Island: A Saturation- and Contamination-Resistant Benchmark from Multiagent Games cites this paper.
Agent Island: A Saturation- and Contamination-Resistant Benchmark from Multiagent Games Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 19
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T17:46:17.276350Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 9d53cd78-ddd4-4c96-9571-3b76c9fa1010 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 18
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-08T22:04:18.090953Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 1c5fe167-2a6f-4ffc-b264-cb3a266a33fe · inbound
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations cites this paper.
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 34
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T04:55:59.899239Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation bcaeda91-673a-474a-8963-2564111db7eb · inbound
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations cites this paper.
GSM-SEM: Benchmark and Framework for Generating Semantically Variant Augmentations Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 36
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T23:45:07.976186Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ec4241e4-e7c0-4b4c-8c06-4660896cd370 · inbound
Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation cites this paper.
Can Agent Benchmarks Support Their Scores? Evidence-Supported Bounds for Interactive-Agent Evaluation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 27
- Resolution
- verified exact
- arxiv_id, observed 2026-05-12T05:41:23.900869Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation abfb013e-e714-4037-85ac-acc881089016 · inbound
Decaf: Improving Neural Decompilation with Automatic Feedback and Search cites this paper.
Decaf: Improving Neural Decompilation with Automatic Feedback and Search Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 32
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-13T02:07:08.093098Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 481aa828-3a0e-498f-9f0b-f56df90e7622 · inbound
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack cites this paper.
Do Androids Dream of Breaking the Game? Systematically Auditing AI Agent Benchmarks with BenchJack Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 60
- Resolution
- verified exact
- arxiv_id, observed 2026-05-14T20:32:56.862291Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation a0f175ac-6597-48d7-9bf4-51fc3977f5ec · inbound
LLM Benchmark Datasets Should Be Contamination-Resistant cites this paper.
LLM Benchmark Datasets Should Be Contamination-Resistant Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 90
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-20T07:23:07.058655Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation ae61037a-4a0c-4149-9764-5047fc27a22e · inbound
Provable Joint Decontamination for Benchmarking Multiple Large Language Models cites this paper.
Provable Joint Decontamination for Benchmarking Multiple Large Language Models Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 172
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T00:44:29.489044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e50e38d5-a330-4082-9fc1-b47897ecc449 · inbound
The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation cites this paper.
The Illusion of Reasoning: Exposing Evasive Data Contamination in LLMs via Zero-CoT Truncation Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 8
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-05-22T08:06:15.310194Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 81a8cf3c-06b8-49b8-bbd7-3da728bad548 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 26
- Resolution
- verified exact
- arxiv_id, observed 2026-05-25T04:40:24.444660Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e11c3d40-017b-429b-8690-ff2370e45d98 · inbound
TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs cites this paper.
TRACER: A Semantic-Aware Framework for Fine-Grained Contamination Detection in Code LLMs Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 46
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T15:34:47.895008Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 04ea9e21-1c59-4575-a510-f812fd2b7aeb · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 55
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T14:44:45.155954Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 6c2dc137-5f7d-4787-b49a-71cbffd49ef8 · inbound
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T13:34:40.588543Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation b5a659b1-05df-4a48-8f38-913a67b3cfe8 · inbound
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-01T08:05:31.914578Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 73c90e48-132c-4c28-9ee1-a4949e9206f0 · inbound
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework cites this paper.
Measuring Reasoning Quality in LLMs: A Multi-Dimensional Behavioral Framework Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 26
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-02T23:27:26.731890Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dab2454a-666d-4842-b07a-aed17edf3fd0 · inbound
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models cites this paper.
TSFMAudit: Data Contamination Auditing in Forecasting Time Series Foundation Models Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 28
- Resolution
- verified exact
- arxiv_id, observed 2026-06-30T12:04:38.780577Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation 429ec9d5-66e8-4def-a403-8144313ea449 · inbound
Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction cites this paper.
Embodied-BenchClaw: An Autonomous Multi-Agent System for Embodied Spatial Intelligence Benchmark Construction Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 13
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-07-03T10:48:02.880656Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation dcbed4ea-62a8-48a1-b727-be0d3cb6004e · inbound
Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs cites this paper.
Which Models Are Our Models Built On? Auditing Invisible Dependencies in Modern LLMs Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 75
- Resolution
- verified exact
- arxiv_id, observed 2026-07-03T10:37:56.593959Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation df54faea-0bd2-4570-a54c-c347743948f7 · 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 Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 12
- Resolution
- metadata mismatch
- arxiv_id, observed 2026-06-30T06:24:18.367339Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.
Observation e34d5daa-ff82-4dcf-8c9b-19274d08c5d6 · inbound
Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI cites this paper.
Do Agent Benchmarks Measure Capability? Protocol Validity in the Age of Agentic AI Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-01T05:03:42.877641Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d05c235d-3146-48aa-b346-a37b6f91e5f6 · inbound
Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests cites this paper.
Evaluating and Mitigating the Misguidance Effect of Buggy Code in LLM-Generated Unit Tests Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 74
- Resolution
- unresolved
- no resolver link, observed 2026-08-15T15:32:18.352655Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 372bad00-77da-4547-981f-6351c5a94418 · inbound
Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores cites this paper.
Temporal Leakage in LLM Backtesting: Measurement, Validation, and Adjusted Scores Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T04:31:04.418737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f312928c-1d49-415a-bc1e-92f5c4a57e6c · inbound
EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks cites this paper.
EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T22:23:05.614586Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1fd6bd95-accd-4fa4-b360-c9160579218f · inbound
EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks cites this paper.
EuroExec: Frontier Language Models Fall Short of Expert Judgment on European Executive Decision Tasks Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-08T18:19:46.939354Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b58d0bba-0fb2-4354-b304-3f047d534dc5 · inbound
Can Released LLM Vocabularies Support Token-Level Estimation of Hidden Corpora? cites this paper.
Can Released LLM Vocabularies Support Token-Level Estimation of Hidden Corpora? Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T19:28:06.247862Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bc44b2f9-4fc9-4d31-8b5f-1ca9a405b30f · inbound
Excess Separability: Nuisance-Controlled Residual-Stream Probing for Benchmark Contamination Detection cites this paper.
Excess Separability: Nuisance-Controlled Residual-Stream Probing for Benchmark Contamination Detection Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T00:08:49.091689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d1f3c95e-7317-4c03-a922-21be04d45f4c · inbound
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure cites this paper.
LittleLearner: Language Models Under Pedagogically Controlled Knowledge Exposure Rethinking Benchmark and Contamination for Language Models with Rephrased Samples
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T04:32:12.482441Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.