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Paper Citation Record · LEDGER

MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

As of 16 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2406.06565.

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

pith.paper-citation-record.v1
2406.06565 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T20:51:34.192526Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-28T23:02:46.504962Z

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 5bb5e92d-9583-499e-abeb-39b9c576a79d · inbound

Challenges in Trustworthy Human Evaluation of Chatbots cites this paper.

Challenges in Trustworthy Human Evaluation of Chatbots MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-11T21:35:10.148411Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-11T21:35:10.148411Z digest=sha256:caaecd683817935c25a6da4f998b9f08617a58655144c5bbea8a692f0f74a0ba

Observation b1fd342f-1825-465d-aacd-248e310052f3 · inbound

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation cites this paper.

C$^2$LEVA: Toward Comprehensive and Contamination-Free Language Model Evaluation MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-11T21:10:35.157549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-11T21:10:35.157549Z digest=sha256:f2dd22cff1c0392e2194243b41f3b9d0453c2c2799dd482637782cb33abe8657

Observation 082c3b24-4b68-4219-8160-83facebafea4 · inbound

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference cites this paper.

Re-evaluating Automatic LLM System Ranking for Alignment with Human Preference MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 5

Resolution
unresolved
no resolver link, observed 2026-08-10T22:51:45.820775Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T22:51:45.820775Z digest=sha256:9e7fbbbb1d5bb713a93eebc19c4493d3cac252d2f30d08c4fd1552692b9cacb3

Observation be3cb942-fb86-4ae2-9b9c-c642367a9f62 · inbound

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change cites this paper.

Enhancing LLMs for Governance with Human Oversight: Evaluating and Aligning LLMs on Expert Classification of Climate Misinformation for Detecting False or Misleading Claims about Climate Change MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-10T15:39:33.154626Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T15:39:33.154626Z digest=sha256:df4cefd045d946e8e56ae87bde17d60309729a79308f422d1a6a342422a5a77d

Observation ff803e47-8d9f-4f93-840e-4dd68681c9d5 · inbound

Tuning LLM Judge Design Decisions for 1/1000 of the Cost cites this paper.

Tuning LLM Judge Design Decisions for 1/1000 of the Cost MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-10T15:02:43.268780Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T15:02:43.268780Z digest=sha256:0d70fe028498fe04c6bfbcf27ae4d0a3e16dc5a2fa4cd6719b4c2a3493bed692

Observation 6358db70-4ec3-4681-aa24-5c684c816f7e · inbound

How to Select Datapoints for Efficient Human Evaluation of NLG Models? cites this paper.

How to Select Datapoints for Efficient Human Evaluation of NLG Models? MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-10T00:15:07.772181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-10T00:15:07.772181Z digest=sha256:17be58c6501c7b805857fd9863fa21adc25e2057b72c10bc012b1870c9685dcb

Observation 9c174b93-ad88-4921-ba29-320fe7494e34 · inbound

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training cites this paper.

WILDCHAT-50M: A Deep Dive Into the Role of Synthetic Data in Post-Training MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 17

Resolution
malformed identifier
no resolver link, observed 2026-08-09T23:17:09.188169Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T23:17:09.188169Z digest=sha256:f680b7f32bbf2e03dfae5578556f87d4b27359fcbaa127eb3a47803eb293224e

Observation 7120ae5c-e864-4839-b264-e5eee69331c8 · inbound

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective cites this paper.

LLM Alignment as Retriever Optimization: An Information Retrieval Perspective MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 2025

Resolution
unresolved
no resolver link, observed 2026-08-09T04:08:51.755786Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T04:08:51.755786Z digest=sha256:44eeb74c90e9a640414e7b04e35b66d099440c5019b4e36524dc8fb27acce47f

Observation 31acb379-afae-4f1f-953f-aa1742758e0c · inbound

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research cites this paper.

When AI Co-Scientists Fail: SPOT-a Benchmark for Automated Verification of Scientific Research MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 41

Resolution
unresolved
no resolver link, observed 2026-08-15T20:51:34.192526Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:51:34.192526Z digest=sha256:9f726582f9d71b0b4b9df59f15b8c28352e026b8f07bc8a0aef186c1b6c5e931

Observation 5c168072-8d54-4881-b6d9-30118242fd5f · inbound

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models cites this paper.

Decentralized Arena: Towards Democratic and Scalable Automatic Evaluation of Language Models MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-15T20:32:25.231127Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-15T20:32:25.231127Z digest=sha256:c9b89096c76478d6ffc41c12cbfc0d16cd565e583330193e727d862bb6ef5441

Observation 77a84dd6-360f-48fe-af96-b2995dd82fd5 · inbound

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis cites this paper.

Establishing Trustworthy LLM Evaluation via Shortcut Neuron Analysis MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 32

Resolution
unresolved
no resolver link, observed 2026-08-07T10:54:26.336265Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T10:54:26.336265Z digest=sha256:f5679ed1b36df5078c7e8ab21cf8af8a7925ada584b66c33bad1e326b91fb7f6

Observation 2d8b17e7-3c82-493d-9fb2-3ca2bb6048a2 · inbound

Mellum2 Technical Report cites this paper.

Mellum2 Technical Report MixEval: Deriving Wisdom of the Crowd from LLM Benchmark Mixtures

Reference 51

Resolution
verified exact
arxiv_id, observed 2026-06-28T23:02:46.506621Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-06-28T22:58:35.397914Z digest=sha256:b858b078f3a9a3c1b05bf4c78de1c16ac69509ef86d684e1b9ea39ca21e86c22