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Paper Citation Record · LEDGER

Variational Inference for Evidential Deep Learning

As of 6 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2605.26477.

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

pith.paper-citation-record.v1
2605.26477 v3

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measured 36 of 36 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-02T13:13:40.653300Z

measured 36 of 36 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-06T06:34:29.942622+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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Reference resolution

36 of 36 outbound references displayed

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Outbound references

Observation f18f9fb6-cb52-41fa-94eb-51cacb1f0c51 · outbound

This paper cites Deep learning.

Variational Inference for Evidential Deep Learning Deep learning

Reference 1

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Observation 72119317-103e-4542-a05e-e5dd62a2e760 · outbound

This paper cites Deep residual learning for image recognition.

Variational Inference for Evidential Deep Learning Deep residual learning for image recognition

Reference 2

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Observation d3298e1d-48e0-43d7-8918-1f7b82cb04db · outbound

This paper cites Weinberger.

Variational Inference for Evidential Deep Learning Weinberger

Reference 3

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Observation aaf0bca8-022b-4e8e-82a1-f51f59585448 · outbound

This paper cites Deep neural networks are easily fooled: High confidence predictions for unrecognizable images.

Variational Inference for Evidential Deep Learning Deep neural networks are easily fooled: High confidence predictions for unrecognizable images

Reference 4

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Observation 4fe9527a-118f-40d8-8214-3622a0f5f31e · outbound

This paper cites A baseline for detecting misclassified and out-of-distribution examples in neural networks.

Variational Inference for Evidential Deep Learning A baseline for detecting misclassified and out-of-distribution examples in neural networks

Reference 5

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Observation e08a577e-1ae4-4e15-b83d-42be9679f100 · outbound

This paper cites Generalized Out-of-Distribution Detection: A Survey.

Variational Inference for Evidential Deep Learning Generalized Out-of-Distribution Detection: A Survey

Reference 6

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This paper cites A simple unified framework for detecting out-of-distribution samples and adversarial attacks.

Variational Inference for Evidential Deep Learning A simple unified framework for detecting out-of-distribution samples and adversarial attacks

Reference 7

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Observation 628b1f80-42b2-44f6-b212-740efa3011bd · outbound

This paper cites Owens, and Yixuan Li.

Variational Inference for Evidential Deep Learning Owens, and Yixuan Li

Reference 8

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Observation 7094f03d-1cdf-44c5-8409-df440e9c5ff5 · outbound

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Variational Inference for Evidential Deep Learning Unresolved cited work

Reference 9

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Observation 942d71fb-6e6e-4f47-beb1-5068a40876fa · outbound

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Variational Inference for Evidential Deep Learning Unresolved cited work

Reference 10

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Observation 7df1f70e-afb4-49a4-9bfa-c700cc0f204b · outbound

This paper cites Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection.

Variational Inference for Evidential Deep Learning Towards safe autonomous driving: Capture uncertainty in the deep neural network for lidar 3d vehicle detection

Reference 11

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Observation 9837b808-7f55-4a92-87f9-1f26267155e7 · outbound

This paper cites de Albuquerque.

Variational Inference for Evidential Deep Learning de Albuquerque

Reference 12

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Observation 60706d58-90ce-491c-a31d-93e7a0638aa5 · outbound

This paper cites A guide to deep learning in healthcare.

Variational Inference for Evidential Deep Learning A guide to deep learning in healthcare

Reference 13

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Observation 8778b2e1-595e-4ec6-afa1-42a3b00a8a9a · outbound

This paper cites Weight uncertainty in neural network.

Variational Inference for Evidential Deep Learning Weight uncertainty in neural network

Reference 14

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Observation 4fbc1747-7d6d-4dfb-bfd5-bfc95bc8e1c0 · outbound

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

Variational Inference for Evidential Deep Learning Dropout as a bayesian approximation: Representing model uncertainty in deep learning

Reference 15

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This paper cites Kaplan, and Melih Kandemir.

Variational Inference for Evidential Deep Learning Kaplan, and Melih Kandemir

Reference 16

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Observation 5102bd6b-bb70-4b4e-bf8e-e46851efa03d · outbound

This paper cites Artificial Intelligence: Foundations, Theory, and Algorithms.

Variational Inference for Evidential Deep Learning Artificial Intelligence: Foundations, Theory, and Algorithms

Reference 17

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Observation 376e1e93-071d-4c9e-a97c-8a7a8abad31a · outbound

This paper cites Dempster.

Variational Inference for Evidential Deep Learning Dempster

Reference 18

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Observation 0863d241-0ab1-4313-b71e-e46e480fb375 · outbound

This paper cites Variational Inference: A Review for Statisticians.

Variational Inference for Evidential Deep Learning Variational Inference: A Review for Statisticians

Reference 19

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Observation 4d03db68-959a-48b1-bb56-e496c8d39b81 · outbound

This paper cites Kingma and Max Welling.

Variational Inference for Evidential Deep Learning Kingma and Max Welling

Reference 20

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Observation 36c718ca-f0b7-40a3-b39f-a15e3683d5df · outbound

This paper cites Uncertainty estimation by fisher information-based evidential deep learning.

Variational Inference for Evidential Deep Learning Uncertainty estimation by fisher information-based evidential deep learning

Reference 21

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Observation 3d41bf12-ee5a-46ba-8c5c-3fc37df150c3 · outbound

This paper cites Revisiting essential and nonessential settings of evidential deep learning.IEEE Trans.

Variational Inference for Evidential Deep Learning Revisiting essential and nonessential settings of evidential deep learning.IEEE Trans

Reference 22

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Observation 582605c1-c20e-415f-87ef-cae0930110c6 · outbound

This paper cites Uncertainty estimation by flexible evidential deep learning.CoRR, abs/2510.18322, 2025.

Variational Inference for Evidential Deep Learning Uncertainty estimation by flexible evidential deep learning.CoRR, abs/2510.18322, 2025

Reference 23

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This paper cites Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.Neural Comput.

Variational Inference for Evidential Deep Learning Region-based evidential deep learning to quantify uncertainty and improve robustness of brain tumor segmentation.Neural Comput

Reference 24

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This paper cites Namboodiri.

Variational Inference for Evidential Deep Learning Namboodiri

Reference 25

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Observation 2efdd565-10d7-458c-a934-672e9c8b5aa0 · outbound

This paper cites Evidential deep learning for sensor fusion.

Variational Inference for Evidential Deep Learning Evidential deep learning for sensor fusion

Reference 26

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Observation f1b6bf6f-fb7f-4509-b36a-f57a51a6c277 · outbound

This paper cites Uncertainty-aware evidential fusion for multi-modal object detection in autonomous driving.Drones, 10(2), 2026.

Variational Inference for Evidential Deep Learning Uncertainty-aware evidential fusion for multi-modal object detection in autonomous driving.Drones, 10(2), 2026

Reference 27

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This paper cites Evidential deep learning for guided molecular property prediction and discovery.ACS Central Science, 2021.

Variational Inference for Evidential Deep Learning Evidential deep learning for guided molecular property prediction and discovery.ACS Central Science, 2021

Reference 28

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Variational Inference for Evidential Deep Learning Cambridge University Press, 2014

Reference 29

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Observation cef9d5b5-d1a4-4bf0-b118-cff6d5d2b753 · outbound

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Variational Inference for Evidential Deep Learning Bartlett and Shahar Mendelson

Reference 30

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This paper cites Natural posterior network: Deep bayesian predictive uncertainty for exponential family distributions.

Variational Inference for Evidential Deep Learning Natural posterior network: Deep bayesian predictive uncertainty for exponential family distributions

Reference 31

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Variational Inference for Evidential Deep Learning Sim- ple and scalable predictive uncertainty estimation using deep ensembles

Reference 32

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Variational Inference for Evidential Deep Learning Learning multiple layers of features from tiny images

Reference 33

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Observation 3920d22a-fb51-4378-93b3-dee567709f10 · outbound

This paper cites Predicting the state of a house using google street view - an analysis of deep binary classification models for the assessment of the quality of flemish houses.

Variational Inference for Evidential Deep Learning Predicting the state of a house using google street view - an analysis of deep binary classification models for the assessment of the quality of flemish houses

Reference 34

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Variational Inference for Evidential Deep Learning Automated flower classification over a large number of classes

Reference 35

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This paper cites MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification.

Variational Inference for Evidential Deep Learning MedMNIST v2 -- A large-scale lightweight benchmark for 2D and 3D biomedical image classification

Reference 36

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Pith citing papers

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