Statistical Multicriteria Evaluation of LLM-Generated Text | Paper Citation Record

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This paper cites GPT-4 Technical Report.

Statistical Multicriteria Evaluation of LLM-Generated Text GPT-4 Technical Report

Reference 1

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This paper cites A learning algorithm for boltzmann machines.

Statistical Multicriteria Evaluation of LLM-Generated Text A learning algorithm for boltzmann machines

Reference 2

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This paper cites Bayesian Optimization for Building Social-Influence-Free Consensus.

Statistical Multicriteria Evaluation of LLM-Generated Text Bayesian Optimization for Building Social-Influence-Free Consensus

Reference 3

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This paper cites Jointly measuring diversity and quality in text generation models.

Statistical Multicriteria Evaluation of LLM-Generated Text Jointly measuring diversity and quality in text generation models

Reference 4

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This paper cites Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges.

Statistical Multicriteria Evaluation of LLM-Generated Text Text Generation: A Systematic Literature Review of Tasks, Evaluation, and Challenges

Reference 5

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Statistical Multicriteria Evaluation of LLM-Generated Text Howcroft

Reference 6

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This paper cites Time for a change: a tutorial for comparing multiple classifiers through bayesian analysis.

Statistical Multicriteria Evaluation of LLM-Generated Text Time for a change: a tutorial for comparing multiple classifiers through bayesian analysis

Reference 7

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This paper cites Estimating the replication probability of significant classification benchmark experiments.

Statistical Multicriteria Evaluation of LLM-Generated Text Estimating the replication probability of significant classification benchmark experiments

Reference 8

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This paper cites Comparing machine learning algorithms by union-free generic depth.

Statistical Multicriteria Evaluation of LLM-Generated Text Comparing machine learning algorithms by union-free generic depth

Reference 9

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This paper cites How to Choose a Reinforcement-Learning Algorithm.

Statistical Multicriteria Evaluation of LLM-Generated Text How to Choose a Reinforcement-Learning Algorithm

Reference 10

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This paper cites Self-learning from pairwise credal labels.

Statistical Multicriteria Evaluation of LLM-Generated Text Self-learning from pairwise credal labels

Reference 11

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Statistical Multicriteria Evaluation of LLM-Generated Text Credal Bayesian Deep Learning

Reference 12

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This paper cites Evaluation of Text Generation: A Survey.

Statistical Multicriteria Evaluation of LLM-Generated Text Evaluation of Text Generation: A Survey

Reference 13

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This paper cites Evaluating language models as risk scores.

Statistical Multicriteria Evaluation of LLM-Generated Text Evaluating language models as risk scores

Reference 14

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Statistical Multicriteria Evaluation of LLM-Generated Text Dem s ar

Reference 15

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This paper cites Semi-supervised learning guided by the generalized bayes rule under soft revision.

Statistical Multicriteria Evaluation of LLM-Generated Text Semi-supervised learning guided by the generalized bayes rule under soft revision

Reference 16

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

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This paper cites Eugster, T.

Statistical Multicriteria Evaluation of LLM-Generated Text Eugster, T

Reference 18

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This paper cites Hierarchical neural story generation, 2018.

Statistical Multicriteria Evaluation of LLM-Generated Text Hierarchical neural story generation, 2018

Reference 19

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This paper cites Beam search strategies for neural machine translation.

Statistical Multicriteria Evaluation of LLM-Generated Text Beam search strategies for neural machine translation

Reference 20

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This paper cites Simcse: Simple contrastive learning of sentence embeddings, 2022.

Statistical Multicriteria Evaluation of LLM-Generated Text Simcse: Simple contrastive learning of sentence embeddings, 2022

Reference 21

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This paper cites Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation.

Statistical Multicriteria Evaluation of LLM-Generated Text Adaptive Contrastive Search: Uncertainty-Guided Decoding for Open-Ended Text Generation

Reference 22

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This paper cites Decoding decoded: Understanding hyperparameter effects in open-ended text generation.

Statistical Multicriteria Evaluation of LLM-Generated Text Decoding decoded: Understanding hyperparameter effects in open-ended text generation

Reference 23

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This paper cites Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework.

Statistical Multicriteria Evaluation of LLM-Generated Text Towards Better Open-Ended Text Generation: A Multicriteria Evaluation Framework

Reference 24

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This paper cites Garc \'i a and F.

Statistical Multicriteria Evaluation of LLM-Generated Text Garc \'i a and F

Reference 25

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This paper cites García, A.

Statistical Multicriteria Evaluation of LLM-Generated Text García, A

Reference 26

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This paper cites The Llama 3 Herd of Models.

Statistical Multicriteria Evaluation of LLM-Generated Text The Llama 3 Herd of Models

Reference 27

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This paper cites DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning.

Statistical Multicriteria Evaluation of LLM-Generated Text DeepSeek-R1: Incentivizing Reasoning Capability in LLMs via Reinforcement Learning

Reference 28

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Statistical Multicriteria Evaluation of LLM-Generated Text Unifying Human and Statistical Evaluation for Natural Language Generation

Reference 29

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This paper cites The Curious Case of Neural Text Degeneration.

Statistical Multicriteria Evaluation of LLM-Generated Text The Curious Case of Neural Text Degeneration

Reference 30

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Statistical Multicriteria Evaluation of LLM-Generated Text Hothorn, F

Reference 31

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This paper cites Open graph benchmark: Datasets for machine learning on graphs.

Statistical Multicriteria Evaluation of LLM-Generated Text Open graph benchmark: Datasets for machine learning on graphs

Reference 32

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

Reference 33

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Statistical Multicriteria Evaluation of LLM-Generated Text Jansen, G

Reference 34

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Statistical Multicriteria Evaluation of LLM-Generated Text Jansen, H

Reference 35

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This paper cites Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information.

Statistical Multicriteria Evaluation of LLM-Generated Text Contributions to the Decision Theoretic Foundations of Machine Learning and Robust Statistics under Weakly Structured Information

Reference 36

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Statistical Multicriteria Evaluation of LLM-Generated Text Statistical comparisons of classifiers by generalized stochastic dominance

Reference 37

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Statistical Multicriteria Evaluation of LLM-Generated Text Multi-target decision making under conditions of severe uncertainty

Reference 38

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This paper cites Robust statistical comparison of random variables with locally varying scale of measurement.

Statistical Multicriteria Evaluation of LLM-Generated Text Robust statistical comparison of random variables with locally varying scale of measurement

Reference 39

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Statistical Multicriteria Evaluation of LLM-Generated Text Statistical multicriteria benchmarking via the GSD -front

Reference 40

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Statistical Multicriteria Evaluation of LLM-Generated Text Jelinek, R

Reference 41

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This paper cites The prism alignment dataset: What participatory, representative and individualised human feedback reveals about the subjective and multicultural alignment of large language models.

Statistical Multicriteria Evaluation of LLM-Generated Text The prism alignment dataset: What participatory, representative and individualised human feedback reveals about the subjective and multicultural alignment of large language models

Reference 42

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Statistical Multicriteria Evaluation of LLM-Generated Text Efficient multi-criteria optimization on noisy machine learning problems

Reference 43

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This paper cites Towards quantifying the effect of datasets for benchmarking: A look at tabular machine learning.

Statistical Multicriteria Evaluation of LLM-Generated Text Towards quantifying the effect of datasets for benchmarking: A look at tabular machine learning

Reference 44

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Statistical Multicriteria Evaluation of LLM-Generated Text Accelerated experimental design using a human-ai teaming framework

Reference 45

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This paper cites Factuality enhanced language models for open-ended text generation.

Statistical Multicriteria Evaluation of LLM-Generated Text Factuality enhanced language models for open-ended text generation

Reference 46

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This paper cites A diversity-promoting objective function for neural conversation models.

Statistical Multicriteria Evaluation of LLM-Generated Text A diversity-promoting objective function for neural conversation models

Reference 47

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This paper cites Contrastive decoding: Open-ended text generation as optimization, 2023.

Statistical Multicriteria Evaluation of LLM-Generated Text Contrastive decoding: Open-ended text generation as optimization, 2023

Reference 48

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Statistical Multicriteria Evaluation of LLM-Generated Text Quantifying Variance in Evaluation Benchmarks

Reference 49

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This paper cites Pointer sentinel mixture models, 2016.

Statistical Multicriteria Evaluation of LLM-Generated Text Pointer sentinel mixture models, 2016

Reference 50

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Statistical Multicriteria Evaluation of LLM-Generated Text Mersmann, M

Reference 51

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Statistical Multicriteria Evaluation of LLM-Generated Text Meyer, F

Reference 52

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This paper cites Learning de-biased regression trees and forests from complex samples.

Statistical Multicriteria Evaluation of LLM-Generated Text Learning de-biased regression trees and forests from complex samples

Reference 53

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

Reference 54

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This paper cites Mauve: Measuring the gap between neural text and human text using divergence frontiers.

Statistical Multicriteria Evaluation of LLM-Generated Text Mauve: Measuring the gap between neural text and human text using divergence frontiers

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.905053Z

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This paper cites Direct preference optimization: Your language model is secretly a reward model.

Statistical Multicriteria Evaluation of LLM-Generated Text Direct preference optimization: Your language model is secretly a reward model

Reference 56

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This paper cites Partial rankings of optimizers.

Statistical Multicriteria Evaluation of LLM-Generated Text Partial rankings of optimizers

Reference 57

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This paper cites Levelwise data disambiguation by cautious superset classification.

Statistical Multicriteria Evaluation of LLM-Generated Text Levelwise data disambiguation by cautious superset classification

Reference 58

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Observation e07be0ab-dc50-4d13-9a55-4209ff7d99e0 · outbound

This paper cites Approximately bayes-optimal pseudo-label selection.

Statistical Multicriteria Evaluation of LLM-Generated Text Approximately bayes-optimal pseudo-label selection

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.846974Z

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This paper cites In all likelihoods: Robust selection of pseudo-labeled data.

Statistical Multicriteria Evaluation of LLM-Generated Text In all likelihoods: Robust selection of pseudo-labeled data

Reference 60

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This paper cites Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration.

Statistical Multicriteria Evaluation of LLM-Generated Text Explaining Bayesian Optimization by Shapley Values Facilitates Human-AI Collaboration

Reference 61

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This paper cites A Statistical Case Against Empirical Human-AI Alignment.

Statistical Multicriteria Evaluation of LLM-Generated Text A Statistical Case Against Empirical Human-AI Alignment

Reference 62

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This paper cites A meta-analysis of overfitting in machine learning.

Statistical Multicriteria Evaluation of LLM-Generated Text A meta-analysis of overfitting in machine learning

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.815993Z

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Statistical Multicriteria Evaluation of LLM-Generated Text Schneider, L

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.800614Z

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This paper cites A minimax learning approach to off-policy evaluation in confounded partially observable markov decision processes.

Statistical Multicriteria Evaluation of LLM-Generated Text A minimax learning approach to off-policy evaluation in confounded partially observable markov decision processes

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.781777Z

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Statistical Multicriteria Evaluation of LLM-Generated Text Shirali, R

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.764739Z

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Observation e0938fbb-fa31-4e29-95c0-98b183dd0140 · outbound

This paper cites An empirical study on contrastive search and contrastive decoding for open-ended text generation, 2022.

Statistical Multicriteria Evaluation of LLM-Generated Text An empirical study on contrastive search and contrastive decoding for open-ended text generation, 2022

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.746915Z

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This paper cites A contrastive framework for neural text generation, 2022.

Statistical Multicriteria Evaluation of LLM-Generated Text A contrastive framework for neural text generation, 2022

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.730152Z

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Observation 8d2b3088-51e4-4876-91a8-b01909cd9031 · outbound

This paper cites Evaluating the evaluation of diversity in natural language generation.

Statistical Multicriteria Evaluation of LLM-Generated Text Evaluating the evaluation of diversity in natural language generation

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.713796Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 3f3b1e7d-5e75-4367-bc58-f7eac5178bc6 · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Scientific machine learning benchmarks

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.696300Z

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Observation 25df4b8e-684c-49ce-ae01-76e76555ceab · outbound

This paper cites Openml: networked science in machine learning.

Statistical Multicriteria Evaluation of LLM-Generated Text Openml: networked science in machine learning

Reference 71

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

Reference 72

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This paper cites LiveBench: A Challenging, Contamination-Limited LLM Benchmark.

Statistical Multicriteria Evaluation of LLM-Generated Text LiveBench: A Challenging, Contamination-Limited LLM Benchmark

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:22.954002Z

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Observation 79b025d7-184c-4c3c-8d74-3b23bac0e1bd · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Principled Bayesian Optimisation in Collaboration with Human Experts

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:22.958957Z

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Statistical Multicriteria Evaluation of LLM-Generated Text Qwen2 Technical Report

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:22.964167Z

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Statistical Multicriteria Evaluation of LLM-Generated Text Benchmarking llms via uncertainty quantification

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.657388Z

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Observation 80df0dbc-876b-48e6-b825-c1c79dbccd9c · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Zhang and M

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.641910Z

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This paper cites Inherent trade-offs between diversity and stability in multi-task benchmarks.

Statistical Multicriteria Evaluation of LLM-Generated Text Inherent trade-offs between diversity and stability in multi-task benchmarks

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.626263Z

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No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation dcc7d216-632a-4d04-98b1-03c0e069dab1 · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Zhang, M

Reference 79

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T19:01:23.607704Z

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Observation bbbe07c5-3379-493f-b2b2-4478d742f342 · outbound

This paper cites OPT: Open Pre-trained Transformer Language Models.

Statistical Multicriteria Evaluation of LLM-Generated Text OPT: Open Pre-trained Transformer Language Models

Reference 80

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:22.987507Z

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Unavailable: canonical work link unavailable.

Observation ce165ab0-9b6b-4fd7-b5c3-b509f1e98262 · outbound

This paper cites Don't Make Your LLM an Evaluation Benchmark Cheater.

Statistical Multicriteria Evaluation of LLM-Generated Text Don't Make Your LLM an Evaluation Benchmark Cheater

Reference 81

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:22.992886Z

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Unavailable: canonical work link unavailable.

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This paper cites Time-Varying Gaussian Process Bandits with Unknown Prior.

Statistical Multicriteria Evaluation of LLM-Generated Text Time-Varying Gaussian Process Bandits with Unknown Prior

Reference 82

Resolution: verified exact; local_arxiv, observed 2026-08-15T19:01:23.127948Z

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Observation f055e5b2-a437-4db0-beb4-bd59ff17b15d · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text write newline

Reference 83

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:23.004618Z

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Unavailable: canonical work link unavailable.

Observation 937452c5-e766-4b61-a551-55a656f248d4 · outbound

This paper cites @esa (Ref.

Statistical Multicriteria Evaluation of LLM-Generated Text @esa (Ref

Reference 84

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Unavailable: canonical work link unavailable.

Observation 85b98448-6d2f-48b0-85f8-7259e64911d8 · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

Reference 85

Resolution: unresolved; no resolver link, observed 2026-08-15T19:01:23.017499Z

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Unavailable: canonical work link unavailable.

Observation 07c14cbb-1a00-47ed-a09a-6fc1bb80fc65 · outbound

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Statistical Multicriteria Evaluation of LLM-Generated Text Unresolved cited work

Reference 86

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