Paper Citation Record · LEDGER

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

As of 6 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 2 inbound Pith citation observations for arXiv:2512.23213.

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

pith.paper-citation-record.v1
2512.23213 v3

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-16T19:57:03.999154Z

measured 62 of 62 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-29T00:05:31.780655Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-06-29T00:12:50.170528Z

Reference resolution

60 of 60 outbound references displayed

verified exact31
verified fuzzy21
unresolved2
parse uncertain0
malformed identifier0
metadata mismatch6

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 55f87f30-114e-44fc-9a70-f0693f5dde68 · outbound

This paper cites write newline.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process write newline

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.542219Z

Source-reported events for the cited work

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Observation 1ba0712f-48ed-4533-b3de-3890f8afb36d · outbound

This paper cites GPT-4 Technical Report.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process GPT-4 Technical Report

Reference 2

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:58:22.793264Z

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Observation e679e594-83fb-45be-bcd5-3f36a2caafd3 · outbound

This paper cites an unresolved cited work.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Unresolved cited work

Reference 3

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Observation f312f3fe-0aca-4a9a-86ab-9b0882f57ccf · outbound

This paper cites Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Adaptation with Self-Evaluation to Improve Selective Prediction in LLMs

Reference 4

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:58:22.790072Z

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Observation 4e51aa58-0d1f-4845-a47a-8b37440cca4c · outbound

This paper cites An automatic and cost-efficient peer-review framework for language generation evaluation.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process An automatic and cost-efficient peer-review framework for language generation evaluation

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.783975Z

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Observation 2e17bd6c-4686-4883-acb4-4a0cc4e71911 · outbound

This paper cites Evaluating Large Language Models Trained on Code.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Evaluating Large Language Models Trained on Code

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.670667Z

Source-reported events for the cited work

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Observation cf20bed3-26db-467b-bd96-f3c06a0a6de4 · outbound

This paper cites Adversarial learning from crowds.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Adversarial learning from crowds

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.503775Z

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Observation 7be0574a-f48d-448b-befd-80dfcf698294 · outbound

This paper cites Structured probabilistic end-to-end learning from crowds.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Structured probabilistic end-to-end learning from crowds

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:03:23.623798Z

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Observation fe00d935-a89a-4111-8545-e782cfdeecf4 · outbound

This paper cites Neural-hidden-crf: A robust weakly-supervised sequence labeler.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Neural-hidden-crf: A robust weakly-supervised sequence labeler

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.511592Z

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Observation 6026d2f4-0d2b-44b7-877c-2be0cc6bab06 · outbound

This paper cites Harnessing Multiple Large Language Models: A Survey on LLM Ensemble.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Harnessing Multiple Large Language Models: A Survey on LLM Ensemble

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.764827Z

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Observation 7285815a-7cfc-49d1-8dba-63238100db8b · outbound

This paper cites E., et al.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process E., et al

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.506272Z

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Observation fcaf17fc-5d76-4cff-9683-91ae2556ed16 · outbound

This paper cites PRE: A Peer Review Based Large Language Model Evaluator.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process PRE: A Peer Review Based Large Language Model Evaluator

Reference 12

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.774949Z

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Observation 83c10816-cc1f-40f9-b4ef-337d5c9f9655 · outbound

This paper cites W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process W., Hou, L., Longpre, S., Zoph, B., Tay, Y., Fedus, W., Li, Y., Wang, X., Dehghani, M., Brahma, S., et al

Reference 13

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Observation 548d295f-3c3d-4a82-8639-c6da529a96d1 · outbound

This paper cites an unresolved cited work.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Unresolved cited work

Reference 14

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Observation 287c74e5-7450-4305-bced-e362b1dcc415 · outbound

This paper cites Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Aligning Model Evaluations with Human Preferences: Mitigating Token Count Bias in Language Model Assessments

Reference 15

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.778007Z

Source-reported events for the cited work

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Observation 4c3853e6-de2c-4daa-9e8f-bef746d4fe2c · outbound

This paper cites Maximum likelihood from incomplete data via the em algorithm.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Maximum likelihood from incomplete data via the em algorithm

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:03:23.621156Z

Source-reported events for the cited work

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Observation 67c704b9-ccaf-4ab2-9730-69ec09908fc0 · outbound

This paper cites A survey on ensemble learning.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process A survey on ensemble learning

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.518249Z

Source-reported events for the cited work

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Observation c1ef1cf4-96be-47de-ad2a-bba50997bb9a · outbound

This paper cites X., Taori, R., Zhang, T., Gulrajani, I., Ba, J., Guestrin, C., Liang, P.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process X., Taori, R., Zhang, T., Gulrajani, I., Ba, J., Guestrin, C., Liang, P

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.515068Z

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Observation 606e6660-3212-4f75-bc41-99a7f4d12071 · outbound

This paper cites An introduction to latent variable models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process An introduction to latent variable models

Reference 19

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Observation 9d2598b1-2d0c-4087-80b3-eb351084f506 · outbound

This paper cites GPTScore: Evaluate as You Desire.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process GPTScore: Evaluate as You Desire

Reference 20

Resolution: verified exact; arxiv_id, observed 2026-05-17T17:11:54.379140Z

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Observation 3a89d433-5782-4ac5-acb7-3618d5d720bb · outbound

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Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Deep learning

Reference 21

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Observation b5ea98ae-841e-408c-9fc0-da4585180075 · outbound

This paper cites A Survey on LLM-as-a-Judge.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process A Survey on LLM-as-a-Judge

Reference 22

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Observation 59898454-34ea-4df1-ac40-9183f50218a3 · outbound

This paper cites Smoothie: Label free language model routing.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Smoothie: Label free language model routing

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.561310Z

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Observation 459e3f86-be96-4fdf-a295-e402dad61d8c · outbound

This paper cites Measuring Mathematical Problem Solving With the MATH Dataset.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Measuring Mathematical Problem Solving With the MATH Dataset

Reference 24

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Observation 54063440-a498-4b80-a97a-4c1d3acd80ca · outbound

This paper cites Language model preference evaluation with multiple weak evaluators.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Language model preference evaluation with multiple weak evaluators

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.780983Z

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Observation 7e0b36de-b544-4ed8-9f4d-a51681672a1b · outbound

This paper cites Ensemble learning for heterogeneous large language models with deep parallel collaboration.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Ensemble learning for heterogeneous large language models with deep parallel collaboration

Reference 26

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Observation 5529df80-0829-4460-bc9d-24cbda953884 · outbound

This paper cites LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process LLM-Blender: Ensembling Large Language Models with Pairwise Ranking and Generative Fusion

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.743646Z

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Observation 7b22e705-3058-4af8-9e7b-38f53e63a992 · outbound

This paper cites TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process TriviaQA: A Large Scale Distantly Supervised Challenge Dataset for Reading Comprehension

Reference 28

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Observation d43b8ff0-58d4-4439-988b-4f5774d5b637 · outbound

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

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Prometheus 2: An Open Source Language Model Specialized in Evaluating Other Language Models

Reference 29

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Observation 85b71a9c-0c22-455b-b72e-5f1f10478d90 · outbound

This paper cites Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Little Giants: Exploring the Potential of Small LLMs as Evaluation Metrics in Summarization in the Eval4NLP 2023 Shared Task

Reference 30

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.726394Z

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Observation 604caec7-42f9-47fa-9e96-8e1266405966 · outbound

This paper cites From generation to judg- ment: Opportunities and challenges of llm-as-a-judge.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process From generation to judg- ment: Opportunities and challenges of llm-as-a-judge

Reference 31

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Observation d17ddcf3-9d6f-4481-b86a-9b1e06925d67 · outbound

This paper cites LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process LLMs-as-Judges: A Comprehensive Survey on LLM-based Evaluation Methods

Reference 32

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Observation f6d20cde-7c1f-4e28-90a7-f03fc4a9e0e8 · outbound

This paper cites More Agents Is All You Need.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process More Agents Is All You Need

Reference 33

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Observation 168e4c3c-b897-400c-bf24-c3ca69b788c9 · outbound

This paper cites DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process DeepSeek-V2: A Strong, Economical, and Efficient Mixture-of-Experts Language Model

Reference 34

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Observation 0e89f12e-e1da-4938-995a-5c759c8e5f21 · outbound

This paper cites Cool-Fusion: Fuse Large Language Models without Training.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Cool-Fusion: Fuse Large Language Models without Training

Reference 35

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Observation 45645ed7-e53e-4f05-a461-cdc540d49cdc · outbound

This paper cites Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Blending Is All You Need: Cheaper, Better Alternative to Trillion-Parameters LLM

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.699710Z

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Observation 09e1e27d-d6b9-46a9-94e4-d2d1b5705446 · outbound

This paper cites Urg: A unified ranking and generation method for ensembling language models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Urg: A unified ranking and generation method for ensembling language models

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.554892Z

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Observation 2772a185-390b-4434-ba2c-9db63c96ba37 · outbound

This paper cites RouteLLM: Learning to Route LLMs with Preference Data.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process RouteLLM: Learning to Route LLMs with Preference Data

Reference 38

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.682905Z

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Observation c0b38780-71d8-4aab-958d-29599baf0023 · outbound

This paper cites A Multi-LLM Debiasing Framework.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process A Multi-LLM Debiasing Framework

Reference 39

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.708723Z

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Observation a30c07b4-60c7-4ddf-bf77-59ca8f5e8d95 · outbound

This paper cites Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Ensembling Large Language Models with Process Reward-Guided Tree Search for Better Complex Reasoning

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.734835Z

Source-reported events for the cited work

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Observation b1ac5cf7-af69-42a9-9bc6-3c9c1e730a8f · outbound

This paper cites Large Language Model Routing with Benchmark Datasets.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Large Language Model Routing with Benchmark Datasets

Reference 41

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.758141Z

Source-reported events for the cited work

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Observation 7cf5c060-c938-4dc1-a8aa-4cf6d7c7d82c · outbound

This paper cites Getting more out of mixture of language model reasoning experts.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Getting more out of mixture of language model reasoning experts

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.552140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5c201e8c-667c-4e71-bc76-ef31ad20ad3e · outbound

This paper cites Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Harnessing the Power of Multiple Minds: Lessons Learned from LLM Routing

Reference 43

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.654514Z

Source-reported events for the cited work

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Observation 81d3f557-0f66-4553-a33a-5c199cf3726e · outbound

This paper cites Gemini: A Family of Highly Capable Multimodal Models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Gemini: A Family of Highly Capable Multimodal Models

Reference 44

Resolution: metadata mismatch; local_arxiv, observed 2026-05-16T19:58:22.717647Z

Source-reported events for the cited work

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Observation d7272572-8b78-4577-b097-f6d69785a3cf · outbound

This paper cites Llm-topla: Efficient llm ensemble by maximising diversity.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Llm-topla: Efficient llm ensemble by maximising diversity

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.548975Z

Source-reported events for the cited work

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Observation c942e07e-75bd-4c01-9bf3-d4bc21431884 · outbound

This paper cites Llama 2: Open Foundation and Fine-Tuned Chat Models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Llama 2: Open Foundation and Fine-Tuned Chat Models

Reference 46

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.739122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 20fe7a45-b6c6-4b2f-92e9-a1c674980534 · outbound

This paper cites Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Replacing Judges with Juries: Evaluating LLM Generations with a Panel of Diverse Models

Reference 47

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.747282Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 5755aa23-64ce-41c9-bd4a-74d829f25bf9 · outbound

This paper cites Koala: An Index for Quantifying Overlaps with Pre-training Corpora.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Koala: An Index for Quantifying Overlaps with Pre-training Corpora

Reference 48

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.761678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation b6881a9e-d489-486b-a526-a7ddfbc891ec · outbound

This paper cites Large Language Models are not Fair Evaluators.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Large Language Models are not Fair Evaluators

Reference 49

Resolution: verified exact; arxiv_id, observed 2026-05-17T12:10:42.624770Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 62dcc8aa-f649-4537-ba7d-a582191aa3e6 · outbound

This paper cites J., and Choi, E.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process J., and Choi, E

Reference 50

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.695340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 18214f72-66ed-49b4-8c62-da18d9e622bd · outbound

This paper cites Self-Consistency Improves Chain of Thought Reasoning in Language Models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Self-Consistency Improves Chain of Thought Reasoning in Language Models

Reference 51

Resolution: verified exact; local_arxiv, observed 2026-05-16T19:58:22.754673Z

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Observation 388d9b6e-b63c-45f9-90f4-387e4da831d4 · outbound

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

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Meta-Rewarding Language Models: Self-Improving Alignment with LLM-as-a-Meta-Judge

Reference 52

Resolution: metadata mismatch; arxiv_id, observed 2026-05-16T19:58:22.687864Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 14fa69d5-1c59-4bde-965b-0ff64564be3d · outbound

This paper cites Bridging the gap between different vocabularies for llm ensemble.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Bridging the gap between different vocabularies for llm ensemble

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.545851Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 21509a30-18a5-4b4e-b38e-c577ca7d6648 · outbound

This paper cites Hit the sweet spot! span-level ensemble for large language models.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Hit the sweet spot! span-level ensemble for large language models

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:03:23.617144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation ed024f32-12ae-4d87-aa21-0cf0c8fbd8ba · outbound

This paper cites Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Breaking the Ceiling of the LLM Community by Treating Token Generation as a Classification for Ensembling

Reference 55

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.713390Z

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No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation f9e5e6b7-5abd-48cc-b993-8c43459aa85a · outbound

This paper cites WRENCH: A Comprehensive Benchmark for Weak Supervision.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process WRENCH: A Comprehensive Benchmark for Weak Supervision

Reference 56

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.786991Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 229c22b3-5779-47c8-ae9c-cc972a5893cf · outbound

This paper cites Wider and Deeper LLM Networks are Fairer LLM Evaluators.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Wider and Deeper LLM Networks are Fairer LLM Evaluators

Reference 57

Resolution: verified exact; arxiv_id, observed 2026-05-16T19:58:22.730880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 61c09b83-5ba2-4c72-9f50-17fe12a14d2d · outbound

This paper cites Judging llm-as-a-judge with mt-bench and chatbot arena.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Judging llm-as-a-judge with mt-bench and chatbot arena

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:03:23.614587Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 77b3aeec-5c9b-4203-83b3-d751d4d064dd · outbound

This paper cites Truth inference in crowdsourcing: Is the problem solved? Proceedings of the VLDB Endowment, 10 0 (5): 0 541--552.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Truth inference in crowdsourcing: Is the problem solved? Proceedings of the VLDB Endowment, 10 0 (5): 0 541--552

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.524467Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation 73b9649b-b3ae-464b-969b-ffdc0a8a2834 · outbound

This paper cites Lima: Less is more for alignment.

Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process Lima: Less is more for alignment

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-05-16T20:01:14.521685Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Pith citing papers

Observation 209c492a-0f9e-475c-958b-93dd37620545 · inbound

Policy Improvement Reinforcement Learning cites this paper.

Policy Improvement Reinforcement Learning Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

Reference 7

Resolution: verified exact; local_arxiv, observed 2026-05-13T22:48:22.803116Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

Observation c0395aa3-96be-483e-8353-ae36d6fd7d10 · inbound

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems cites this paper.

Evolve as a Team: Collaborative Self-Evolution for LLM-based Multi-Agent Systems Scoring, Reasoning, and Selecting the Best! Ensembling Large Language Models via a Peer-Review Process

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-06-29T00:12:50.171775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.