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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 2026-08-16T06:30:59.297886+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:e748bd7b7d983400d36b3b9b25c98c3682cdfe876acba369216e3918fd66c7ce

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=sha256:931f4e736e308f2dd240fe33e19e21c2139a648b3cf3d0775a20af54223d0767

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=sha256:435d8ebeeb13d8fb772bc89571d5294cf2ade3ab553c757b2e50b8bd1f7d5d39

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:e3491227933db2476b580ee0e0b50007276834c83264552bf5ce9f579b835210

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=sha256:7a555c379a1d6a6a07959e5e8fa4fd2064a94301ae1b71da78849a403e269228

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=sha256:9871ca6756603e056aa0db2ab2e9472c3874692702822ee0ea52996b560107b3

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=sha256:0fcfa3a4addd7a389a39caf7d5720948c437f3a2a22c501cf4ec5863bc8749fc

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=sha256:0c09d1ab9504d54c013e33b40688c6c01270acc79a8d1744fa2adf4b53bdef8c

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:ca293cf00025dc713b4e43ef2a1c5256d979eaaddd8091b35786e689507de5e8

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:c19d359423a7b316467662aa33ec45040cd04c620bd84c3f997f994440ec910f

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=sha256:49265e5f147d41439a13a9aac5f700cb71342cc9a4fc25b2f7815450756ef099

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 2026-08-16T06:30:59.297886+00:00.

source=pdf_text observed=2026-06-28T22:58:35.397914Z digest=sha256:8a0a61f3f3deb6af684cce1b444e81f4c3c264c4828563da518c56774cc6aa88