Paper Citation Record · LEDGER

Do Large Language Model Benchmarks Test Reliability?

As of 9 August 2026, this Paper Citation Record lists 14 of 14 outbound references and 25 inbound Pith citation observations for arXiv:2502.03461.

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

pith.paper-citation-record.v1
2502.03461 v1

Coverage vector

measured 14 of 14 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:45:34.619467Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 25 of 25 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:44:35.170514Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

14 of 14 outbound references displayed

verified exact1
verified fuzzy4
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 1b9bfd96-d5b6-4cfa-84e2-87a3cc39c5ff · outbound

This paper cites Vqa: Visual question answering.

Do Large Language Model Benchmarks Test Reliability? Vqa: Visual question answering

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:45:34.908324Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation db02c29d-d7fc-483a-a2a6-86b7ab1bb954 · outbound

This paper cites Training Verifiers to Solve Math Word Problems.

Do Large Language Model Benchmarks Test Reliability? Training Verifiers to Solve Math Word Problems

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.574702Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 82bdb3d6-3b3f-4600-ab45-79296c2a0103 · outbound

This paper cites DeepSeek-V3 Technical Report.

Do Large Language Model Benchmarks Test Reliability? DeepSeek-V3 Technical Report

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.586462Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 411b121d-201d-435c-8964-c23dd0ce06a8 · outbound

This paper cites Reasoning with language model is planning with world model.

Do Large Language Model Benchmarks Test Reliability? Reasoning with language model is planning with world model

Reference 7

Resolution: verified exact; raw_fallback, observed 2026-08-09T04:45:34.819895Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 498f2953-7801-4d3f-9dec-74e579fcd234 · outbound

This paper cites Parsing algebraic word problems into equations.

Do Large Language Model Benchmarks Test Reliability? Parsing algebraic word problems into equations

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:45:34.897607Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 05fdc43a-0a68-41be-aaad-864ab2683443 · outbound

This paper cites Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks.

Do Large Language Model Benchmarks Test Reliability? Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.602333Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dcd4c2f5-c4f7-4621-8547-9e8978bb0e2c · outbound

This paper cites ] The 15th Nepal China’s Tibet Economic and Trade Fair was held on 17-22 November 2015 in Bhrikutimandap, Kathmandu Nepal.

Do Large Language Model Benchmarks Test Reliability? ] The 15th Nepal China’s Tibet Economic and Trade Fair was held on 17-22 November 2015 in Bhrikutimandap, Kathmandu Nepal

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:45:34.877030Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 1d55c155-c7b5-47a6-957c-ed5e752ebc3e · outbound

This paper cites A Chevy for $1? Car dealer chatbots show perils of AI for customer service.

Do Large Language Model Benchmarks Test Reliability? A Chevy for $1? Car dealer chatbots show perils of AI for customer service

Reference 2012

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:45:34.887133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 763ed826-7b74-4da8-82b9-b6bbac143dc2 · outbound

This paper cites GPQA: A Graduate-Level Google-Proof Q&A Benchmark.

Do Large Language Model Benchmarks Test Reliability? GPQA: A Graduate-Level Google-Proof Q&A Benchmark

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.610345Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 68821419-7ae1-4062-a5f3-d200ee6cddf1 · outbound

This paper cites TabFact: A Large-scale Dataset for Table-based Fact Verification.

Do Large Language Model Benchmarks Test Reliability? TabFact: A Large-scale Dataset for Table-based Fact Verification

Reference 2017

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.578445Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 346a8a38-706f-490b-9a30-289f03360723 · outbound

This paper cites The Llama 3 Herd of Models.

Do Large Language Model Benchmarks Test Reliability? The Llama 3 Herd of Models

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.582280Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 85b513ad-882e-4c7b-b755-fb7b32d523f8 · outbound

This paper cites GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding.

Do Large Language Model Benchmarks Test Reliability? GLUE: A Multi-Task Benchmark and Analysis Platform for Natural Language Understanding

Reference 2020

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.615477Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5f633ecc-145a-4fa1-99df-696893cb17e7 · outbound

This paper cites What Will it Take to Fix Benchmarking in Natural Language Understanding?.

Do Large Language Model Benchmarks Test Reliability? What Will it Take to Fix Benchmarking in Natural Language Understanding?

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.570985Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a42cf9e-0c95-4bfb-9fe4-597c8e5b6b27 · outbound

This paper cites Are NLP Models really able to Solve Simple Math Word Problems?.

Do Large Language Model Benchmarks Test Reliability? Are NLP Models really able to Solve Simple Math Word Problems?

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-09T04:45:34.606271Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation c946dab6-15b8-4f3d-8712-c8ef1f28d4f8 · 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 Do Large Language Model Benchmarks Test Reliability?

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-07T14:44:35.170514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e91f3fcc-2d10-4a13-b825-ef4dc75f380b · inbound

Benchmarking Misuse Mitigation Against Covert Adversaries cites this paper.

Benchmarking Misuse Mitigation Against Covert Adversaries Do Large Language Model Benchmarks Test Reliability?

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T10:32:14.736497Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d35071e2-6a71-4045-afaa-bd7f04821575 · inbound

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models cites this paper.

Domain Specific Benchmarks for Evaluating Multimodal Large Language Models Do Large Language Model Benchmarks Test Reliability?

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-07T00:39:41.721221Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a71ed187-186d-4b4f-9697-0ac273e92bb4 · inbound

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models cites this paper.

Min-p, Max Exaggeration: A Critical Analysis of Min-p Sampling in Language Models Do Large Language Model Benchmarks Test Reliability?

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-07T00:31:56.526077Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63b7f608-d52f-4b6d-b041-f429a29b044e · inbound

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation cites this paper.

From KMMLU-Redux to KMMLU-Pro: A Professional Korean Benchmark Suite for LLM Evaluation Do Large Language Model Benchmarks Test Reliability?

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-06T18:16:47.173923Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 47cb0821-33b3-4e5b-8e37-95ce3a928b1a · inbound

Kimi K2: Open Agentic Intelligence cites this paper.

Kimi K2: Open Agentic Intelligence Do Large Language Model Benchmarks Test Reliability?

Reference 78

Resolution: verified exact; arxiv_id, observed 2026-05-10T17:49:28.068240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation ce22e119-46ce-4751-80fc-ad0fb8f48fd7 · 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 Do Large Language Model Benchmarks Test Reliability?

Reference 42

Resolution: verified exact; arxiv_id, observed 2026-05-19T03:22:01.328205Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation f6fa3ca2-49ee-4a85-9eb3-6a48992e787d · inbound

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems cites this paper.

Proof2Hybrid: Automatic Mathematical Benchmark Synthesis for Proof-Centric Problems Do Large Language Model Benchmarks Test Reliability?

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-06T05:11:55.853126Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4a505671-19a1-4e9c-bf77-740d23839d0f · inbound

Fluid Language Model Benchmarking cites this paper.

Fluid Language Model Benchmarking Do Large Language Model Benchmarks Test Reliability?

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-04T17:10:43.451638Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7a218eed-e892-43b4-8b68-880850af79c2 · inbound

Position: AI Evaluations Should be Grounded on a Theory of Capability cites this paper.

Position: AI Evaluations Should be Grounded on a Theory of Capability Do Large Language Model Benchmarks Test Reliability?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-21T22:00:41.470153Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e1db10e7-1e87-4e1d-9f63-3a1b455b282b · inbound

Simple Policy Gradients for Reasoning with Diffusion Language Models cites this paper.

Simple Policy Gradients for Reasoning with Diffusion Language Models Do Large Language Model Benchmarks Test Reliability?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T11:38:53.608588Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c5e5c7af-49ef-426f-ba8a-3cc8773d3d7e · inbound

Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks cites this paper.

Adaptive Testing for LLM Evaluation: A Psychometric Alternative to Static Benchmarks Do Large Language Model Benchmarks Test Reliability?

Reference 2010

Resolution: unresolved; no resolver link, observed 2026-08-04T08:10:10.254371Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fdb3e2d9-139a-4afd-91a6-040638a7f6c1 · inbound

Model soups need only one ingredient cites this paper.

Model soups need only one ingredient Do Large Language Model Benchmarks Test Reliability?

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-03T02:51:56.829649Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ea4d81c5-9b06-4941-89d2-36dc1cf1db8f · inbound

Weight Decay Improves Language Model Plasticity cites this paper.

Weight Decay Improves Language Model Plasticity Do Large Language Model Benchmarks Test Reliability?

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-03T00:15:37.341267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7b9344d9-c88c-44ae-ba95-4d3497aa72bd · inbound

Position: Evaluation of ECG Representations Must Be Fixed cites this paper.

Position: Evaluation of ECG Representations Must Be Fixed Do Large Language Model Benchmarks Test Reliability?

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-02T22:14:47.827344Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 152365d0-7c94-4818-81b7-45f60b924bed · inbound

LLM Reasoning Is Latent, Not the Chain of Thought cites this paper.

LLM Reasoning Is Latent, Not the Chain of Thought Do Large Language Model Benchmarks Test Reliability?

Reference 51

Resolution: verified exact; arxiv_id, observed 2026-05-10T08:53:04.559520Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 54fe561a-54e9-4d96-96ff-04e5900b9a83 · inbound

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity cites this paper.

Rethinking Math Reasoning Evaluation: A Robust LLM-as-a-Judge Framework Beyond Symbolic Rigidity Do Large Language Model Benchmarks Test Reliability?

Reference 26

Resolution: verified exact; arxiv_id, observed 2026-05-11T19:31:09.302907Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 24f5328d-8cc5-4a49-9c81-d91b044b41d4 · inbound

Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation cites this paper.

Beyond the Mean: Within-Model Reliable Change Detection for LLM Evaluation Do Large Language Model Benchmarks Test Reliability?

Reference 3

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T10:06:27.313724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation e23209f5-b865-4f58-a4c2-071e5dceec73 · inbound

Measuring AI Reasoning: A Guide for Researchers cites this paper.

Measuring AI Reasoning: A Guide for Researchers Do Large Language Model Benchmarks Test Reliability?

Reference 151

Resolution: verified exact; arxiv_id, observed 2026-05-08T18:54:00.977963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 7f005ee2-3673-4666-9e11-b68055fe34a7 · inbound

Auditing LLM Benchmarks with Item Response Theory cites this paper.

Auditing LLM Benchmarks with Item Response Theory Do Large Language Model Benchmarks Test Reliability?

Reference 3

Resolution: malformed identifier; arxiv_id, observed 2026-06-29T07:33:13.327707Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 67bd4a2f-6efd-449e-87e1-4b08eed3105c · inbound

Flaws in the LLM Automation Narrative cites this paper.

Flaws in the LLM Automation Narrative Do Large Language Model Benchmarks Test Reliability?

Reference 22

Resolution: verified exact; arxiv_id, observed 2026-07-03T08:17:45.302392Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 55c2c5de-d07c-4225-835d-3ef66f2d1930 · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Do Large Language Model Benchmarks Test Reliability?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-13T03:06:27.991558Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45c50bf4-4920-4331-9b6e-eff107ac780d · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Do Large Language Model Benchmarks Test Reliability?

Reference 86

Resolution: unresolved; no resolver link, observed 2026-07-14T15:13:39.458378Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 45372cbc-a301-48cf-bc0d-2700a7a04f6f · inbound

A Sovereign, Open-Source Foundation Model for German and English cites this paper.

A Sovereign, Open-Source Foundation Model for German and English Do Large Language Model Benchmarks Test Reliability?

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-02T07:46:08.660600Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6ae6023b-7bb3-4441-9584-56729f48151e · inbound

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility cites this paper.

Answer-then-Edit: Reasoning Skeleton Editing for Anti-Distillation with Preserved Utility Do Large Language Model Benchmarks Test Reliability?

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-02T14:19:38.247606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.