Paper Citation Record · LEDGER

Don't Make Your LLM an Evaluation Benchmark Cheater

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 34 inbound Pith citation observations for arXiv:2311.01964.

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

pith.paper-citation-record.v1
2311.01964 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 34 of 34 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 34 of 34 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T00:23:50.793745Z

measured 1 of 1 external citation measurements

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

Source: pith, 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

18
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 3aaa96ce-fe7c-4b16-930d-13eb3909db90 · inbound

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders cites this paper.

Bridging Language and Items for Retrieval and Recommendation: Benchmarking LLMs as Semantic Encoders Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 62

Resolution: verified exact; arxiv_id, observed 2026-05-24T03:05:56.990257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 09a21ebc-9711-4355-941f-f7a01f2d0c76 · inbound

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code cites this paper.

LiveCodeBench: Holistic and Contamination Free Evaluation of Large Language Models for Code Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 223

Resolution: metadata mismatch; arxiv_id, observed 2026-05-10T17:34:42.839749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 01ef215d-f693-4a35-a813-56451877a25c · inbound

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

Benchmark Data Contamination of Large Language Models: A Survey Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 187

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:10:41.160577Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6e87ec1d-90ca-4af7-9894-a408d1a97434 · inbound

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs cites this paper.

Cambrian-1: A Fully Open, Vision-Centric Exploration of Multimodal LLMs Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 155

Resolution: verified exact; arxiv_id, observed 2026-05-17T00:05:03.901359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 11e37873-e86e-4360-8c9d-92532dc29dd4 · inbound

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning cites this paper.

MetaMorph: Multimodal Understanding and Generation via Instruction Tuning Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 197

Resolution: metadata mismatch; arxiv_id, observed 2026-05-17T07:51:13.131940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3983b9a3-1339-405a-8c93-7ae58305dce3 · inbound

A Conceptual Framework for AI Capability Evaluations cites this paper.

A Conceptual Framework for AI Capability Evaluations Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 103

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:53.137574Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c201a5ad-d818-43c7-b7a5-0128eba0b6ae · inbound

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

Can Vision Language Models Understand Mimed Actions? Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 89

Resolution: unresolved; no resolver link, observed 2026-08-07T00:23:50.793745Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 11652142-6a23-4b3c-b5d8-bee15e27fe51 · inbound

Establishing Best Practices for Building Rigorous Agentic Benchmarks cites this paper.

Establishing Best Practices for Building Rigorous Agentic Benchmarks Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 91

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:28.438581Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5a5eeb3d-ad4e-4eb4-807a-a8526dd0d0aa · inbound

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances cites this paper.

Toward Valid Measurement Of (Un)fairness For Generative AI: A Proposal For Systematization Through The Lens Of Fair Equality of Chances Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-06T19:47:49.856525Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5ecc2e53-7f59-435d-afc4-b5bb1194e4e6 · inbound

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs cites this paper.

User Behavior Prediction as a Generic, Robust, Scalable, and Low-Cost Evaluation Strategy for Estimating Generalization in LLMs Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T21:43:41.764235Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a680c7fb-277d-4b9c-a183-19a2afd2d214 · inbound

Deprecating Benchmarks: Criteria and Framework cites this paper.

Deprecating Benchmarks: Criteria and Framework Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:40.530184Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97aa3bc0-878f-47d6-8b62-1e86e5b135dd · inbound

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage cites this paper.

ISACL: Internal State Analyzer for Copyrighted Training Data Leakage Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-05T16:50:28.964070Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 814f58bc-4f4b-435d-92ee-04ac5bae3038 · inbound

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity cites this paper.

InSQuAD: In-Context Learning for Efficient Retrieval via Submodular Mutual Information to Enforce Quality and Diversity Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-05T14:44:28.055272Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ca9ba4eb-c67c-4ba0-94b8-5b5319d0bcc5 · inbound

LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories cites this paper.

LogitTrace: Detecting Benchmark Contamination via Layerwise Logit Trajectories Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-18T14:36:28.964642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 62e80328-de9e-46ef-8346-c51a5dec4830 · inbound

Make a Video Call with LLM: A Measurement Campaign over Six Mainstream Apps cites this paper.

Make a Video Call with LLM: A Measurement Campaign over Six Mainstream Apps Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-04T13:29:04.649764Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13edee3e-fa11-45a1-a31e-00ca70fb6dd7 · inbound

SciCoQA: Quality Assurance for Scientific Paper--Code Alignment cites this paper.

SciCoQA: Quality Assurance for Scientific Paper--Code Alignment Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 11

Resolution: malformed identifier; arxiv_id, observed 2026-05-16T13:20:57.867847Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 0be77a86-62d8-4578-a0e6-0e23617115be · inbound

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? cites this paper.

Benchmark Leakage Trap: Can We Trust LLM-based Recommendation? Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-02T23:32:09.809875Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb03d784-d5ec-47bb-b80b-073e1a2b49b2 · inbound

Agentic Business Process Management: A Research Manifesto cites this paper.

Agentic Business Process Management: A Research Manifesto Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 84

Resolution: verified exact; arxiv_id, observed 2026-05-15T08:25:18.811678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 22ed82ce-384d-4802-8fd1-d4c1ae345d65 · inbound

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection cites this paper.

LiveFact: A Dynamic, Time-Aware Benchmark for LLM-Driven Fake News Detection Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 7

Resolution: verified exact; arxiv_id, observed 2026-05-10T21:55:49.393337Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation a69ccd46-f3ac-4193-967f-d2b183c8a583 · inbound

Riemann-Bench: A Benchmark for Moonshot Mathematics cites this paper.

Riemann-Bench: A Benchmark for Moonshot Mathematics Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 18

Resolution: verified exact; arxiv_id, observed 2026-05-11T05:36:00.811359Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 227c3cac-82a2-40f0-be47-0d92e3231ded · inbound

How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles cites this paper.

How Independent are Large Language Models? A Statistical Framework for Auditing Behavioral Entanglement and Reweighting Verifier Ensembles Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-11T07:20:58.932401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 5d80a5c7-a48b-4c8f-831f-22fbfb20d00a · 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 Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 29

Resolution: verified exact; arxiv_id, observed 2026-05-11T13:46:05.207324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d1555bcf-9371-468c-b0c0-4efe0b8c70e2 · inbound

Training a General Purpose Automated Red Teaming Model cites this paper.

Training a General Purpose Automated Red Teaming Model Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 5

Resolution: malformed identifier; arxiv_id, observed 2026-05-11T19:41:08.319868Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation dbdfad1f-74b3-4fa4-9dc4-5dd2f0084784 · inbound

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator cites this paper.

STELLAR-E: a Synthetic, Tailored, End-to-end LLM Application Rigorous Evaluator Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:01:10.945701Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 2e23b564-b627-4049-8ba4-b2fd10035453 · inbound

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora cites this paper.

Programming with Data: Test-Driven Data Engineering for Self-Improving LLMs from Raw Corpora Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-11T22:11:16.280192Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation f8720662-6515-4a69-bcce-5408c93bda67 · inbound

Generating Leakage-Free Benchmarks for Robust RAG Evaluation cites this paper.

Generating Leakage-Free Benchmarks for Robust RAG Evaluation Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-12T03:06:18.948679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation d5bf708a-2ecb-4cc9-8afa-52f0f61be15f · inbound

Provable Joint Decontamination for Benchmarking Multiple Large Language Models cites this paper.

Provable Joint Decontamination for Benchmarking Multiple Large Language Models Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 181

Resolution: verified exact; arxiv_id, observed 2026-05-22T00:44:29.503089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 6ac7c5d0-9059-4a44-9a04-cdcff63d2890 · 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 Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-25T04:40:24.435108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 7feb40be-8f95-4344-97f7-80e1ed66da49 · 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 Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 67

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T17:24:56.540890Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 3f65e975-0d9d-4cb3-a563-06e43cae517f · inbound

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation cites this paper.

Welfare, Improvability, and Variance: A Principal-Agent Approach to Optimal Benchmark Item Aggregation Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 73

Resolution: metadata mismatch; arxiv_id, observed 2026-06-28T23:52:49.465940Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 119018cb-5232-4f83-8943-cac3dbc2a450 · inbound

Flaws in the LLM Automation Narrative cites this paper.

Flaws in the LLM Automation Narrative Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 16

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.290264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation c4eb3bdd-b34a-46fb-aca3-ecf7dea39295 · inbound

Defeat Devices in AI Systems cites this paper.

Defeat Devices in AI Systems Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 61

Resolution: metadata mismatch; arxiv_id, observed 2026-06-30T08:44:27.875364Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation be1c851b-6620-4735-9841-8d4ecfb0c51c · inbound

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs cites this paper.

From Execution to Education: A Bloom-Aligned Framework for Measuring Educational Control in LLMs Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 208

Resolution: verified exact; local_arxiv, observed 2026-07-10T13:57:06.719623Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

Observation 4bd18683-eceb-42fc-acc7-3c6ea3c4f451 · inbound

Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent cites this paper.

Guideline-as-Oracle: Zero-Annotation Training of an Ophthalmic Telephone Triage Agent Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T17:07:02.934623Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.