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Paper Citation Record · LEDGER

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer

As of 18 August 2026, this Paper Citation Record lists 35 of 35 outbound references and 1 inbound Pith citation observation for arXiv:2504.12589.

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

pith.paper-citation-record.v1
2504.12589 v1

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measured 35 of 35 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T12:34:00.158389Z

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T22:28:12.204856Z

measured 0 of 1 external citation measurements

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

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Reference resolution

35 of 35 outbound references displayed

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Outbound references

Observation bf70d860-ed25-4812-87b2-3ed3d1183016 · outbound

This paper cites (27) The sample size requirement is given by Equation (11): τ 1√r− 1− 1√r ≤ξ.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer (27) The sample size requirement is given by Equation (11): τ 1√r− 1− 1√r ≤ξ

Reference 2

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Observation 3bb4f7c7-5569-427d-a7e3-9a8fec855943 · outbound

This paper cites Benchmarking Cognitive Biases in Large Language Models as Evaluators.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Benchmarking Cognitive Biases in Large Language Models as Evaluators

Reference 7

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Observation cbc37a07-fcfd-4ccb-ae53-c688b16479f7 · outbound

This paper cites NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer NV-Embed: Improved Techniques for Training LLMs as Generalist Embedding Models

Reference 8

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Observation d8edb0c2-a5d2-495b-aba3-5d3cff7be325 · outbound

This paper cites RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer RLAIF vs. RLHF: Scaling Reinforcement Learning from Human Feedback with AI Feedback

Reference 9

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Observation 06bd8d45-88a3-4da4-97ea-c4696965aa54 · outbound

This paper cites Let's Verify Step by Step.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Let's Verify Step by Step

Reference 10

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Observation b76ae8d5-a902-4731-9870-720adb6532bf · outbound

This paper cites TruthfulQA: Measuring How Models Mimic Human Falsehoods.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer TruthfulQA: Measuring How Models Mimic Human Falsehoods

Reference 11

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Observation 5847f86b-2aaf-4a85-b8a3-1ae1574b39a8 · outbound

This paper cites doi: 10.18653/v1/2023.emnlp-main.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer doi: 10.18653/v1/2023.emnlp-main

Reference 13

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Observation f9ffea09-1bae-4596-9cdc-82b05858ff58 · outbound

This paper cites FActScore: Fine-grained atomic evaluation of factual precision in long form text generation.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer FActScore: Fine-grained atomic evaluation of factual precision in long form text generation

Reference 15

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Observation d3d22ed5-e705-4ec9-ba03-8a735c34cccb · outbound

This paper cites doi: 10.18653/v1/2023.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer doi: 10.18653/v1/2023

Reference 16

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Observation 9201301e-cdb0-4279-bffe-614215646e9b · outbound

This paper cites Language Models with Conformal Factuality Guarantees.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Language Models with Conformal Factuality Guarantees

Reference 17

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Observation 78246a18-2786-45dd-9476-49eb94c52a75 · outbound

This paper cites Evaluating the Performance of Large Language Models via Debates.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Evaluating the Performance of Large Language Models via Debates

Reference 18

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Observation 7a4ff0eb-ab4d-46c7-981c-5916480da2c1 · outbound

This paper cites GPT-4 Technical Report.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer GPT-4 Technical Report

Reference 19

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Observation 8f7d093e-198d-4ee2-8644-3c39a199c128 · outbound

This paper cites LLM Evaluators Recognize and Favor Their Own Generations.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer LLM Evaluators Recognize and Favor Their Own Generations

Reference 20

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Observation 31398427-a194-46fc-9c48-0a2b2dd6c92b · outbound

This paper cites OffsetBias: Leveraging Debiased Data for Tuning Evaluators.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer OffsetBias: Leveraging Debiased Data for Tuning Evaluators

Reference 21

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Observation 85b054a0-2ca4-44e8-b242-f0e01b558c28 · outbound

This paper cites Schoenegger, P., Tuminauskaite, I., Park, P.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Schoenegger, P., Tuminauskaite, I., Park, P

Reference 22

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Observation 53b4fffa-f319-43f8-afa0-e561adddbccb · outbound

This paper cites Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Wisdom of the Silicon Crowd: LLM Ensemble Prediction Capabilities Rival Human Crowd Accuracy

Reference 23

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Observation 7a085280-c85d-401f-9952-870169be5145 · outbound

This paper cites Large Language Models are not Fair Evaluators.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Large Language Models are not Fair Evaluators

Reference 26

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Observation 2283103e-e3a2-4c63-a7f5-953e8a858284 · outbound

This paper cites Self-Taught Evaluators.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Self-Taught Evaluators

Reference 27

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Observation 9da31557-7804-4ab7-b421-64b3335b8797 · outbound

This paper cites Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 28

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Observation 1f7f3b40-ec5c-4715-a0fe-3eb8a0980c30 · outbound

This paper cites Mitigating LLM Hallucinations via Conformal Abstention.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Mitigating LLM Hallucinations via Conformal Abstention

Reference 29

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Observation a075c498-a3cf-41dc-a4a9-caa259132990 · outbound

This paper cites R-Judge: Benchmarking Safety Risk Awareness for LLM Agents.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer R-Judge: Benchmarking Safety Risk Awareness for LLM Agents

Reference 30

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Observation 86695c75-741b-4859-bafb-cd4effaa6fb8 · outbound

This paper cites The Lessons of Developing Process Reward Models in Mathematical Reasoning.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer The Lessons of Developing Process Reward Models in Mathematical Reasoning

Reference 31

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Observation 20dbed31-fcad-48d2-b902-ca0470c3d8d3 · outbound

This paper cites ICE-Score: Instructing Large Language Models to Evaluate Code.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer ICE-Score: Instructing Large Language Models to Evaluate Code

Reference 32

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Observation fb9ed3d8-2591-435a-87b7-dcfea60548db · outbound

This paper cites an unresolved cited work.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Unresolved cited work

Reference 34

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Observation f74fc53d-f39d-441f-8f12-78416841d579 · outbound

This paper cites Throughout all the experiments, the sampling temperature of all LLMs is set to.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Throughout all the experiments, the sampling temperature of all LLMs is set to

Reference 35

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Observation 875b74ba-a9cf-4f04-b85f-403f733c36e2 · outbound

This paper cites HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer HalluDial: A Large-Scale Benchmark for Automatic Dialogue-Level Hallucination Evaluation

Reference 153

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Observation 52fc39ef-4a47-4bdd-aa86-17a467626918 · outbound

This paper cites D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer D., Dhariwal, P., Neelakantan, A., Shyam, P., Sastry, G., Askell, A., et al

Reference 1996

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Observation 33163599-9675-4b96-bdcc-fcdc81db52f1 · outbound

This paper cites Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Beyond the Imitation Game: Quantifying and extrapolating the capabilities of language models

Reference 2008

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Observation e86a87c7-768a-40d6-9a55-d790fa32dd44 · outbound

This paper cites The Llama 3 Herd of Models.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer The Llama 3 Herd of Models

Reference 2014

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Observation 309a2d6b-5da1-46a0-b356-8214f5ce8161 · outbound

This paper cites InternLM2 Technical Report.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer InternLM2 Technical Report

Reference 2020

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Observation 817a8913-855b-45f5-8bc3-945a044be0bf · outbound

This paper cites G-eval: NLG evaluation using gpt-4 with better human alignment.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer G-eval: NLG evaluation using gpt-4 with better human alignment

Reference 2021

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Observation 64f17eec-0726-43e2-ba53-51d018b0c395 · outbound

This paper cites JudgeBench: A Benchmark for Evaluating LLM-based Judges.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer JudgeBench: A Benchmark for Evaluating LLM-based Judges

Reference 2022

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Observation bdc249c8-6a88-4e39-8fc1-5a439992fbf0 · outbound

This paper cites Conformal Risk Control.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Conformal Risk Control

Reference 2023

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Observation 463f6fea-99d0-49e3-a546-a1ab89c49fc3 · outbound

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

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer Length-Controlled AlpacaEval: A Simple Way to Debias Automatic Evaluators

Reference 2024

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Observation cc5ef465-76d9-4980-86fa-9925ba4ad169 · outbound

This paper cites The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs.

Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer The Alternative Annotator Test for LLM-as-a-Judge: How to Statistically Justify Replacing Human Annotators with LLMs

Reference 2025

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Pith citing papers

Observation b74be109-94ba-41ca-beb8-3b124780c348 · inbound

Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL cites this paper.

Knowing When to Stop: Predicting Execution-Consistency Convergence in Text-to-SQL Efficient MAP Estimation of LLM Judgment Performance with Prior Transfer

Reference 50

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