Paper Citation Record · LEDGER

Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2402.09880.

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

pith.paper-citation-record.v1
2402.09880 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:45:46.197830Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:10:41.039569Z

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 a670cd0f-1687-4bc1-96ff-f2dccbbd6bbf · inbound

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

Benchmark Data Contamination of Large Language Models: A Survey Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 103

Resolution: verified exact; arxiv_id, observed 2026-05-22T23:10:41.042123Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2f38d407-5bf1-4fe6-ad94-b89fce08349a · inbound

Humanity's Last Exam cites this paper.

Humanity's Last Exam Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 35

Resolution: verified exact; arxiv_id, observed 2026-05-10T18:40:50.396135Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d00f127b-f3c5-4b99-b092-d7e1cc5deca9 · inbound

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

Evaluating the Sensitivity of LLMs to Prior Context Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-07T12:45:46.197830Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ac7fea2d-36bc-4c4a-96dd-4c3d6f2e3949 · inbound

A Conceptual Framework for AI Capability Evaluations cites this paper.

A Conceptual Framework for AI Capability Evaluations Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-06T23:25:49.091271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2f1c3676-d795-4007-a5ca-e4cf5528221d · inbound

Benchmarking the Pedagogical Knowledge of Large Language Models cites this paper.

Benchmarking the Pedagogical Knowledge of Large Language Models Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-06T23:20:18.697366Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 730348d7-1f43-4ae1-8aea-8f0731132ca0 · inbound

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead cites this paper.

Software Engineering for Large Language Models: Research Status, Challenges and the Road Ahead Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 243

Resolution: unresolved; no resolver link, observed 2026-08-06T21:36:42.082274Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c272ff5-c8e7-4443-82c4-911beb380184 · inbound

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

Establishing Best Practices for Building Rigorous Agentic Benchmarks Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T20:24:23.835725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6e79f6e4-785c-4eab-9a33-5d27681e7eac · inbound

Deprecating Benchmarks: Criteria and Framework cites this paper.

Deprecating Benchmarks: Criteria and Framework Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T19:07:40.466197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8326260e-4bf2-4873-b1c8-2522a225cb5b · inbound

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 14

Resolution: metadata mismatch; arxiv_id, observed 2026-05-18T01:20:34.404981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e2b61dff-efae-45ec-847d-e10efba11dfd · inbound

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning cites this paper.

DecompSR: A dataset for decomposed analyses of compositional multihop spatial reasoning Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:51.487379Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0c9c93e9-8fc0-4bda-a6c1-b5b050d53f65 · inbound

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation cites this paper.

Simplicity Paradox: Debunking myths about prompting and datasets for LLM evaluation Inadequacies of Large Language Model Benchmarks in the Era of Generative Artificial Intelligence

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-02T14:42:44.631644Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.