Paper Citation Record · LEDGER

Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 8 inbound Pith citation observations for arXiv:2410.07137.

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

pith.paper-citation-record.v1
2410.07137 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 8 of 8 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 8 of 8 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T15:09:39.185943Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-23T17:35:44.135797Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation a5f9a20a-7ab5-4633-b274-1a1d0ac80e8e · inbound

A Survey on LLM-as-a-Judge cites this paper.

A Survey on LLM-as-a-Judge Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 223

Resolution: verified exact; arxiv_id, observed 2026-05-23T17:35:44.140280Z

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 39e2b2d1-ff86-4100-b971-b4d4cec24f6e · inbound

Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation cites this paper.

Data Laundering: Artificially Boosting Benchmark Results through Knowledge Distillation Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-11T15:09:39.185943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8252159d-2eb2-494f-85ad-2947d8c43df7 · inbound

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments cites this paper.

Attestable Audits: Verifiable AI Safety Benchmarks Using Trusted Execution Environments Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-06T21:45:01.650587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 23701028-0d31-4af3-b5f1-c766dbbeb224 · inbound

One Token to Fool LLM-as-a-Judge cites this paper.

One Token to Fool LLM-as-a-Judge Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-06T18:15:40.247023Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation df27aa01-661f-4811-b887-99edbb0d6e87 · inbound

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models cites this paper.

Beyond Semantic Manipulation: Token-Space Attacks on Reward Models Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-05-13T20:33:16.823858Z

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 abb5e27d-7214-4892-9450-d92de96bec05 · inbound

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation cites this paper.

The Verifier is the Curriculum: Execution-Gated Self-Distillation for Cross-Family Game Generation Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 22

Resolution: unresolved; no resolver link, observed 2026-07-14T17:25:37.713857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fd3875b1-f33e-4c95-9cb1-418577fba973 · inbound

Scaling Point-in-Time Language Models cites this paper.

Scaling Point-in-Time Language Models Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-02T15:39:41.034599Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4de7f58-3f7e-4abb-835d-a4f544a90dab · inbound

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks cites this paper.

Every Model Cheats: Prompt-Level Mitigation of Cheating on Offensive Cyber Tasks Cheating Automatic LLM Benchmarks: Null Models Achieve High Win Rates

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T06:49:29.432657Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.