Paper Citation Record · LEDGER

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges

As of 20 August 2026, this Paper Citation Record lists 52 of 52 outbound references and 0 inbound Pith citation observations for arXiv:2607.16239.

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

pith.paper-citation-record.v1
2607.16239 v1

Coverage vector

measured 52 of 52 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T10:02:42.228482Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

52 of 52 outbound references displayed

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External citation measurements

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Outbound references

Observation cc0b5e90-ca7b-4f89-abdb-5a5af7d5d4e0 · outbound

This paper cites and Tanno, Ryutaro and Schwaighofer, Anton and Tezcan, Kerem C.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges and Tanno, Ryutaro and Schwaighofer, Anton and Tezcan, Kerem C

Reference 1

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Observation 88db8488-36db-4107-9139-1e0ef6d2ec70 · outbound

This paper cites CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges CROWDLAB: Supervised learning to infer consensus labels and quality scores for data with multiple annotators

Reference 2

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Observation a826fa97-6006-4213-9e99-bf46f3874c23 · outbound

This paper cites Active Label Correction for Semantic Segmentation with Foundation Models.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Active Label Correction for Semantic Segmentation with Foundation Models

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Observation 146248a4-36f8-49dc-85f0-ed55d9f7b979 · outbound

This paper cites Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Re-labeling ImageNet: from Single to Multi-Labels, from Global to Localized Labels

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

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Pervasive Label Errors in Test Sets Destabilize Machine Learning Benchmarks

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Observation eb514b99-9dfb-41ae-ac39-b5140524b364 · outbound

This paper cites Confident Learning: Estimating Uncertainty in Dataset Labels.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Confident Learning: Estimating Uncertainty in Dataset Labels

Reference 6

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Observation 86b43fe6-9d1e-44be-aa2c-844a416ae05d · outbound

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges International Journal of Human-Computer Studies , volume=

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Observation 68f15005-44a2-4874-804f-f6a3c4668752 · outbound

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Unresolved cited work

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges 2016 , pages =

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Applied Statistics , author =

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Observation 0d06bfe2-70b1-4e8a-8367-61f2a05bfdb3 · outbound

This paper cites Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 11

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Observation 4b2a61fe-472f-44f8-84cd-293b4924161f · outbound

This paper cites Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models.

BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 12

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Unresolved cited work

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges 2002 , publisher=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges arXiv preprint arXiv:2507.01372 , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges arXiv preprint arXiv:2511.08991 , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Deep Think with Confidence

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Assessing Writing , volume=

Reference 18

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Transactions of the Association for Computational Linguistics , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Proceedings of the IEEE/CVF international conference on computer vision , pages=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges The Annals of Applied Statistics , volume=

Reference 21

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges The Econometrics Journal , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Science , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges and Duchi, John C

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Proceedings of the National Academy of Sciences , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges 1992 , publisher=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Biometrika , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges The Annals of Statistics , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Journal of the Royal Statistical Society: Series B , volume=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges and Zhang, Hao and Gonzalez, Joseph E

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Large Language Models are not Fair Evaluators

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges A Survey on

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Proceedings of the 41st International Conference on Machine Learning , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Proceedings of the 2024 Conference on Empirical Methods in Natural Language Processing , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges International Conference on Learning Representations , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Enhancing

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges International Conference on Learning Representations , year=

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges Generative Judge for Evaluating Alignment

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges An Empirical Study of

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BACON: Budgeted Human Calibration for Modeling and Evaluation with Multiple AI Judges The Computational Geometry Algorithms Library , subtitle =

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Pith citing papers

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