Epistemic Uncertainty in Conformal Scores: A Unified Approach | Paper Citation Record

Observation b183793f-5228-4dc9-997a-6abee96e4c70 · outbound

This paper cites Tennessee’s student teacher achievement ratio (star) project.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Tennessee’s student teacher achievement ratio (star) project

Reference 1

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Observation 6cad7edc-23ed-4fd2-a5bf-ca4b5777e9bc · outbound

This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 2

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This paper cites Bernardo and A.F.M.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Bernardo and A.F.M

Reference 3

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Observation 454b5806-11b4-4792-a099-b8c528fce17b · outbound

This paper cites Mixture density networks.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Mixture density networks

Reference 4

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This paper cites Mondrian conformal regressors.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Mondrian conformal regressors

Reference 5

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This paper cites Lof: identifying density-based local outliers.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Lof: identifying density-based local outliers

Reference 6

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Observation 9e37e12d-c2b7-43dc-9067-91f7ebe8034f · outbound

This paper cites Distribution-free calibration of statistical confidence sets.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Distribution-free calibration of statistical confidence sets

Reference 7

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Observation 8569e44d-7144-47f2-860f-e77c14f867bb · outbound

This paper cites Regression trees for fast and adaptive prediction intervals.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Regression trees for fast and adaptive prediction intervals

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.614273Z

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Observation 28ece056-85fc-43f7-bfd1-4f1c8d8d6398 · outbound

This paper cites Distributional conformal prediction.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Distributional conformal prediction

Reference 9

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Observation 9743689b-0176-4a06-a9e7-feac33e5a2b6 · outbound

This paper cites BART : Bayesian additive regression trees.

Epistemic Uncertainty in Conformal Scores: A Unified Approach BART : Bayesian additive regression trees

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.594743Z

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Observation 192fba89-a73c-4f6b-939b-36a48b24a9a2 · outbound

This paper cites Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Uncertainty-Aware Online Extrinsic Calibration: A Conformal Prediction Approach

Reference 11

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Observation 24990164-70c5-4c1a-969b-b2b2c8430a8a · outbound

This paper cites Cerdeira, F.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Cerdeira, F

Reference 12

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Observation 5cf7b9ac-c8e3-4c30-b64c-dd03c274d26f · outbound

This paper cites Amnioml: amniotic fluid segmentation and volume prediction with uncertainty quantification.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Amnioml: amniotic fluid segmentation and volume prediction with uncertainty quantification

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.583025Z

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Observation cb452a51-8183-4ae9-85e5-b815bfeb98b3 · outbound

This paper cites Conditional density estimation tools in python and r with applications to photometric redshifts and likelihood-free cosmological inference.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conditional density estimation tools in python and r with applications to photometric redshifts and likelihood-free cosmological inference

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.570272Z

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Observation c0a25304-d330-4336-8224-5968c02a8f81 · outbound

This paper cites Distribution-free conformal joint prediction regions for neural marked temporal point processes.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Distribution-free conformal joint prediction regions for neural marked temporal point processes

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.558090Z

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Observation e2fefb89-78a1-4caa-9f62-94fc1756b058 · outbound

This paper cites A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A Unified Comparative Study with Generalized Conformity Scores for Multi-Output Conformal Regression

Reference 16

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Observation d2c45ffb-8b7c-44ca-88d4-1dc315b48bbd · outbound

This paper cites CatBoost: gradient boosting with categorical features support.

Epistemic Uncertainty in Conformal Scores: A Unified Approach CatBoost: gradient boosting with categorical features support

Reference 17

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Observation 78f354b2-e852-495f-9b99-9a0302b67f53 · outbound

This paper cites Uci machine learning repository, 2017.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Uci machine learning repository, 2017

Reference 18

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Observation 1c2b9310-8dd8-4407-a7d8-7d23501a4f9a · outbound

This paper cites Improving conditional coverage via orthogonal quantile regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Improving conditional coverage via orthogonal quantile regression

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.537008Z

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Observation a93b6bb8-63ba-41f1-aecd-89a2aa4804f8 · outbound

This paper cites Conformal bayesian computation.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conformal bayesian computation

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.523970Z

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Observation 4c885e03-6a7b-4934-8a1c-2d515d9d1e99 · outbound

This paper cites Conformal prediction: a unified review of theory and new challenges.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conformal prediction: a unified review of theory and new challenges

Reference 21

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Observation aa257e14-0592-4a65-aabc-5280161832b2 · outbound

This paper cites The limits of distribution-free conditional predictive inference.

Epistemic Uncertainty in Conformal Scores: A Unified Approach The limits of distribution-free conditional predictive inference

Reference 22

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Observation b9992656-0acd-4910-b393-ba0dc3dc5e40 · outbound

This paper cites A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A unified framework for constructing, tuning and assessing photometric redshift density estimates in a selection bias setting

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.497872Z

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Observation 666cbd6b-9d65-4863-9629-433f2e4a05fe · outbound

This paper cites PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification.

Epistemic Uncertainty in Conformal Scores: A Unified Approach PersonalizedUS: Interpretable Breast Cancer Risk Assessment with Local Coverage Uncertainty Quantification

Reference 24

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:13:15.895999Z

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Observation 85e2cd8a-6ca3-47d5-9a3b-7e712aaeb889 · outbound

This paper cites Dropout as a bayesian approximation: Representing model uncertainty in deep learning.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.485730Z

Source-reported events for the cited work

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Observation a70a4dd6-9168-4a11-b748-20601ac5844e · outbound

This paper cites Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Gpytorch: Blackbox matrix-matrix gaussian process inference with gpu acceleration

Reference 26

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Observation d5c4eda4-7029-4e48-bb04-9b1055157cce · outbound

This paper cites Strictly proper scoring rules, prediction, and estimation.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Strictly proper scoring rules, prediction, and estimation

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.374569Z

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Observation 7809bbcf-2003-4e23-bb85-93879189fb91 · outbound

This paper cites Localized conformal prediction: A generalized inference framework for conformal prediction.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Localized conformal prediction: A generalized inference framework for conformal prediction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.456898Z

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Observation 6e6a1e60-2faa-4b8d-b69a-009352114a83 · outbound

This paper cites Superconductivty Data.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Superconductivty Data

Reference 29

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Observation c5cff0b9-34d1-44aa-b1b8-f678193edc82 · outbound

This paper cites Deep residual learning for image recognition.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Deep residual learning for image recognition

Reference 30

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Observation 3f976276-cbcf-450f-ba7b-7dc3b652ffac · outbound

This paper cites A survey on uncertainty quantification methods for deep learning.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A survey on uncertainty quantification methods for deep learning

Reference 31

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Observation f7f512a0-29c1-44ca-8ae7-f6646f11bea9 · outbound

This paper cites Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Potential of integrated field spectroscopy and spatial analysis for enhanced assessment of soil contamination: A prospective review

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.436061Z

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Observation 616905ec-12f6-453e-81c8-11b7b6caa1f8 · outbound

This paper cites Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Aleatoric and epistemic uncertainty in machine learning: An introduction to concepts and methods

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.423815Z

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Observation 5e24a556-3657-4437-b5d1-ea9163e599e8 · outbound

This paper cites Batch normalization: accelerating deep network training by reducing internal covariate shift.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Batch normalization: accelerating deep network training by reducing internal covariate shift

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.410988Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9964e507-dcfb-4bb2-a63a-8d3d3fd6aeb3 · outbound

This paper cites Machine Learning Beyond Point Predictions: Uncertainty Quantification.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Machine Learning Beyond Point Predictions: Uncertainty Quantification

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.398500Z

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Observation dd1f74c4-1c85-45c9-a002-496201216f93 · outbound

This paper cites Converting high-dimensional regression to high-dimensional conditional density estimation.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Converting high-dimensional regression to high-dimensional conditional density estimation

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.385963Z

Source-reported events for the cited work

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Observation 6b41f7c8-026b-4e90-91b6-24bfbd0dcc93 · outbound

This paper cites Flexible distribution-free conditional predictive bands using density estimators.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Flexible distribution-free conditional predictive bands using density estimators

Reference 37

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Observation b407a90c-cb06-4e9c-9917-74b1da3d93c7 · outbound

This paper cites Cd-split and hpd-split: Efficient conformal regions in high dimensions.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Cd-split and hpd-split: Efficient conformal regions in high dimensions

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.367233Z

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Observation 00b14af1-e7ab-47aa-b123-57e27c5f8aee · outbound

This paper cites Conformal approach to gaussian process surrogate evaluation with coverage guarantees.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conformal approach to gaussian process surrogate evaluation with coverage guarantees

Reference 39

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Observation 02a3ae5f-3a45-43d9-b48d-05b7ff986470 · outbound

This paper cites House sales in king county, usa.

Epistemic Uncertainty in Conformal Scores: A Unified Approach House sales in king county, usa

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.355878Z

Source-reported events for the cited work

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Observation c091ecfb-385e-4a61-bbf0-a53e77201563 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Adam: A Method for Stochastic Optimization

Reference 41

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Observation 7c1811a4-bb00-4f58-a894-7f620156d66c · outbound

This paper cites Learning multiple layers of features from tiny images.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Learning multiple layers of features from tiny images

Reference 42

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Observation 2f428209-0c87-4679-85f2-22d36510d768 · outbound

This paper cites On weight initialization in deep neural networks.

Epistemic Uncertainty in Conformal Scores: A Unified Approach On weight initialization in deep neural networks

Reference 43

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Observation f8bb7181-6eb3-4c3d-a807-c6c13608431b · outbound

This paper cites Distribution-free prediction bands for non-parametric regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Distribution-free prediction bands for non-parametric regression

Reference 44

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Observation 4e51fb43-cd17-48f3-8fc3-d2cdb2e86d5a · outbound

This paper cites Distribution-free predictive inference for regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Distribution-free predictive inference for regression

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.329990Z

Source-reported events for the cited work

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Observation a7f0867f-dc4f-4f7a-a637-d64fe8b9d2f5 · outbound

This paper cites Awesome conformal prediction, 2024.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Awesome conformal prediction, 2024

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.318824Z

Source-reported events for the cited work

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Observation 12ff703f-13a9-4ee1-b3bd-0639e6915add · outbound

This paper cites Bike sharing demand - rmsle: 0.3194.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Bike sharing demand - rmsle: 0.3194

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.307083Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 9f6fb82c-5e0a-4161-ba48-1faac394bc49 · outbound

This paper cites A literature review of fault diagnosis based on ensemble learning.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A literature review of fault diagnosis based on ensemble learning

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.295418Z

Source-reported events for the cited work

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Observation 6ae95710-6353-4260-aa0f-458e432fa1c8 · outbound

This paper cites Optimisation of large wave farms using a multi-strategy evolutionary framework.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Optimisation of large wave farms using a multi-strategy evolutionary framework

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.282361Z

Source-reported events for the cited work

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Observation 1bf43b9b-0f98-4a86-aef8-0155e3834b31 · outbound

This paper cites Inductive confidence machines for regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Inductive confidence machines for regression

Reference 50

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Observation f53fed9c-1522-4872-b9eb-97886c44a43c · outbound

This paper cites Gaussian process interpolation with conformal prediction: methods and comparative analysis.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Gaussian process interpolation with conformal prediction: methods and comparative analysis

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.262759Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b1c4664b-a326-48cb-bcc9-1325a310b5e5 · outbound

This paper cites Conditionally valid probabilistic conformal prediction.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conditionally valid probabilistic conformal prediction

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.249996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4000ff57-db69-4131-ad4a-e9aa5d1914e9 · outbound

This paper cites Heteroscedastic bart via multiplicative regression trees.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Heteroscedastic bart via multiplicative regression trees

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.238509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3f54818c-c791-48b2-80b5-af11f9f333c2 · outbound

This paper cites Bayesian additive regression trees for probabilistic programming.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Bayesian additive regression trees for probabilistic programming

Reference 54

Resolution: verified exact; local_arxiv, observed 2026-08-08T14:13:15.655893Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8a7bba90-803c-46c0-84e1-ad2a527035f3 · outbound

This paper cites Physicochemical Properties of Protein Tertiary Structure.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Physicochemical Properties of Protein Tertiary Structure

Reference 55

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Source-reported events for the cited work

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Observation ee76d313-6043-419e-bc4a-07335a6359dd · outbound

This paper cites Conformalized quantile regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Conformalized quantile regression

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.226911Z

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This paper cites Classification with valid and adaptive coverage.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Classification with valid and adaptive coverage

Reference 57

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This paper cites Integrating uncertainty awareness into conformalized quantile regression.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Integrating uncertainty awareness into conformalized quantile regression

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.207160Z

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Observation b90de2f0-3008-46f7-8796-ee8a6f2c7c96 · outbound

This paper cites Natural gradients in practice: Non-conjugate variational inference in gaussian process models.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Natural gradients in practice: Non-conjugate variational inference in gaussian process models

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.195429Z

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Observation 6eab46e1-97ee-420b-855f-c06368b1130b · outbound

This paper cites Theory of statistics.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Theory of statistics

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.182758Z

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Epistemic Uncertainty in Conformal Scores: A Unified Approach Unresolved cited work

Reference 61

Resolution: unresolved; raw_fallback, observed 2026-08-08T14:13:16.170317Z

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This paper cites A tutorial on gaussian process regression: Modelling, exploring, and exploiting functions.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A tutorial on gaussian process regression: Modelling, exploring, and exploiting functions

Reference 62

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Observation 42b8d37c-9e18-49e9-b744-027ab9eb1c66 · outbound

This paper cites A comparison of some conformal quantile regression methods.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A comparison of some conformal quantile regression methods

Reference 63

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.517715Z

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This paper cites A tutorial on conformal prediction.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A tutorial on conformal prediction

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.521684Z

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This paper cites Dropout: a simple way to prevent neural networks from overfitting.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Dropout: a simple way to prevent neural networks from overfitting

Reference 65

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This paper cites Bayesian uncertainty estimation for batch normalized deep networks.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Bayesian uncertainty estimation for batch normalized deep networks

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.130497Z

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Observation 32319118-e9d9-4995-a660-71586c8f9a81 · outbound

This paper cites Combined Cycle Power Plant.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Combined Cycle Power Plant

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.532903Z

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Observation 3654ed02-dd61-40f9-a356-496b79f91a29 · outbound

This paper cites A review of predictive uncertainty estimation with machine learning.

Epistemic Uncertainty in Conformal Scores: A Unified Approach A review of predictive uncertainty estimation with machine learning

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.117667Z

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Observation 949fdf8d-e479-49d8-a560-70cc4ed3d176 · outbound

This paper cites Valle, R.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Valle, R

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.105585Z

Source-reported events for the cited work

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Observation f3970db0-2f43-48c7-ab09-9d168e1fd1aa · outbound

This paper cites Quantifying uncertainty in land-use land-cover classification using conformal statistics.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Quantifying uncertainty in land-use land-cover classification using conformal statistics

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.092858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 46e0c7b4-75a8-4152-a262-0c9d29cec9a6 · outbound

This paper cites Local uncertainty maps for land-use/land-cover classification without remote sensing and modeling work using a class-conditional conformal approach.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Local uncertainty maps for land-use/land-cover classification without remote sensing and modeling work using a class-conditional conformal approach

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.077677Z

Source-reported events for the cited work

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Observation 0df70a0b-fb65-4d54-8cb5-a766e67c66cd · outbound

This paper cites Visualizing data using t-sne.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Visualizing data using t-sne

Reference 72

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.552515Z

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Observation 06003c6b-167f-4376-8691-a005841421b5 · outbound

This paper cites Algorithmic learning in a random world, volume 29.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Algorithmic learning in a random world, volume 29

Reference 73

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.556948Z

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Observation 7415efe0-6a36-4fd4-ba96-0d97f8295df3 · outbound

This paper cites From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence.

Epistemic Uncertainty in Conformal Scores: A Unified Approach From Aleatoric to Epistemic: Exploring Uncertainty Quantification Techniques in Artificial Intelligence

Reference 74

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.561451Z

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Observation 6b1dbb34-8b80-4dc5-8221-dd137895ac86 · outbound

This paper cites Frasian inference.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Frasian inference

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T14:13:16.049886Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ff125b8b-6277-4b59-a926-dd6efc5a10fe · outbound

This paper cites Gaussian processes for machine learning, volume 2.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Gaussian processes for machine learning, volume 2

Reference 76

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.569188Z

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Observation 4f89d969-1ef7-4837-b3c2-7a09bb524953 · outbound

This paper cites Concrete Compressive Strength.

Epistemic Uncertainty in Conformal Scores: A Unified Approach Concrete Compressive Strength

Reference 77

Resolution: unresolved; no resolver link, observed 2026-08-08T14:13:15.572812Z

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