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Paper Citation Record · LEDGER

When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2402.01781.

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

pith.paper-citation-record.v1
2402.01781 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-02T02:14:08.103425Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-16T10:47:31.141279Z

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 fba070fe-dd71-477f-9785-f490b8588e91 · inbound

RouterBench: A Benchmark for Multi-LLM Routing System cites this paper.

RouterBench: A Benchmark for Multi-LLM Routing System When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Reference 74

Resolution
verified exact
arxiv_id, observed 2026-05-16T10:47:31.143539Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-05-16T10:47:31.006944Z digest=sha256:47f478bc5f2e95077647b7a111946f2e2ec58d9ed7d0164e912a7bbf02246ce1

Observation a93ec630-105a-4a4c-a428-285fb95e7f65 · inbound

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark cites this paper.

MMLU-Pro: A More Robust and Challenging Multi-Task Language Understanding Benchmark When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Reference 3

Resolution
verified exact
arxiv_id, observed 2026-05-11T15:51:06.285386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-11T15:51:04.674346Z digest=sha256:c506536797da40fb0edb505a0c484cde545af8f780c394c2b09c8626fab1505a

Observation 67b6341e-63f4-46a0-8f7d-e48e562108f8 · inbound

Instrument Effects in Language-Model Honesty Evaluation: An Auditable Single-System Demonstration cites this paper.

Instrument Effects in Language-Model Honesty Evaluation: An Auditable Single-System Demonstration When Benchmarks are Targets: Revealing the Sensitivity of Large Language Model Leaderboards

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-02T02:14:08.103425Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T02:14:08.103425Z digest=sha256:9e78655e04f9b09fcba04675e44449ba6460dd4cd5cfa33241d5d374588f63be