Paper Citation Record · LEDGER

Test-time augmentation improves efficiency in conformal prediction

As of 14 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:2505.22764.

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

pith.paper-citation-record.v1
2505.22764 v1

Coverage vector

measured 51 of 51 reference resolution

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measured 51 of 51 standing notices

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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External citation measurements

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Outbound references

Observation 0200eb3f-679c-4267-a8a3-1ea61fef2edb · outbound

This paper cites Uncertainty Sets for Image Classifiers using Conformal Prediction.

Test-time augmentation improves efficiency in conformal prediction Uncertainty Sets for Image Classifiers using Conformal Prediction

Reference 1

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Observation 88a80e89-f24c-4580-8922-5357e9cc1326 · outbound

This paper cites Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks.

Test-time augmentation improves efficiency in conformal prediction Test-time Data Augmentation for Estimation of Heteroscedastic Aleatoric Uncertainty in Deep Neural Networks

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:09.443365Z

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Observation 249a8cda-61c8-4b84-8639-37c5431915fd · outbound

This paper cites On the Utility of Prediction Sets in Human-AI Teams.

Test-time augmentation improves efficiency in conformal prediction On the Utility of Prediction Sets in Human-AI Teams

Reference 3

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Observation 25e99a0d-f25e-472d-b4b5-d526578dcc61 · outbound

This paper cites Optimized conformal classification using gradient descent approximation.

Test-time augmentation improves efficiency in conformal prediction Optimized conformal classification using gradient descent approximation

Reference 4

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Source-reported events for the cited work

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Observation bc216465-213b-4221-a533-bda130ebe6ef · outbound

This paper cites Aggregated Conformal Prediction.

Test-time augmentation improves efficiency in conformal prediction Aggregated Conformal Prediction

Reference 5

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Observation 52b2572e-ea1c-4d38-8503-24acf483b9d4 · outbound

This paper cites Cyclic test time augmentation with entropy weight method.

Test-time augmentation improves efficiency in conformal prediction Cyclic test time augmentation with entropy weight method

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:08.970569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b27b858c-7d7c-40e4-a8a5-6d95748240f4 · outbound

This paper cites Simple post-training robust- ness using test time augmentations and random forest.

Test-time augmentation improves efficiency in conformal prediction Simple post-training robust- ness using test time augmentations and random forest

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:08.783525Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b0e1ca6d-0eb6-4a82-b8ca-b28b879f1271 · outbound

This paper cites ICU Survival Prediction Incorporating Test- Time Augmentation to Improve the Accuracy of Ensemble- Based Models.

Test-time augmentation improves efficiency in conformal prediction ICU Survival Prediction Incorporating Test- Time Augmentation to Improve the Accuracy of Ensemble- Based Models

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:08.596213Z

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Observation 1cc59317-d323-466c-85ff-ce4ea6e3edc4 · outbound

This paper cites Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks.

Test-time augmentation improves efficiency in conformal prediction Approaching Test Time Augmentation in the Context of Uncertainty Calibration for Deep Neural Networks

Reference 9

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Source-reported events for the cited work

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Observation 802a2935-6811-4840-869f-1c7c43bcb491 · outbound

This paper cites Conformal Prediction Sets Improve Human Decision Making.

Test-time augmentation improves efficiency in conformal prediction Conformal Prediction Sets Improve Human Decision Making

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:08:02.412790Z

Source-reported events for the cited work

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Observation 22e50100-0f66-4a04-bdde-e193105ed8c4 · outbound

This paper cites AutoAugment: Learning Augmentation Policies from Data.

Test-time augmentation improves efficiency in conformal prediction AutoAugment: Learning Augmentation Policies from Data

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-07T13:07:57.352661Z

Source-reported events for the cited work

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Observation 9db12ff5-572d-4d94-a9d3-6ea3d6e91f24 · outbound

This paper cites ImageNet: A large-scale hierarchical im- age database.

Test-time augmentation improves efficiency in conformal prediction ImageNet: A large-scale hierarchical im- age database

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-07T13:07:57.451738Z

Source-reported events for the cited work

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Observation 0e8e5fa8-0c7b-49fa-8803-5afa67cb3454 · outbound

This paper cites Class-Conditional Conformal Prediction with Many Classes.

Test-time augmentation improves efficiency in conformal prediction Class-Conditional Conformal Prediction with Many Classes

Reference 13

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Observation e1c1f5f2-d0c9-4acb-b6d5-6bf4af4f54b3 · outbound

This paper cites Training Uncertainty-Aware Classifiers with Conformalized Deep Learning.

Test-time augmentation improves efficiency in conformal prediction Training Uncertainty-Aware Classifiers with Conformalized Deep Learning

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:08.373917Z

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Observation 34317b64-0db9-4d6a-bf1b-5935cfbd0047 · outbound

This paper cites Dynamic Test-Time Augmentation via Differentiable Functions.

Test-time augmentation improves efficiency in conformal prediction Dynamic Test-Time Augmentation via Differentiable Functions

Reference 15

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Observation 1ecea691-92a1-410d-b7c2-2156288c9c9e · outbound

This paper cites Gammerman, V.

Test-time augmentation improves efficiency in conformal prediction Gammerman, V

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:08.087418Z

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Observation d32380bc-e26a-4bd5-89d0-95d00fe20df1 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Test-time augmentation improves efficiency in conformal prediction Deep Residual Learning for Image Recognition

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:07.786346Z

Source-reported events for the cited work

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Observation 2f51bac0-8a52-4214-8d89-e855be48e141 · outbound

This paper cites Brinker, and Florian Buettner.

Test-time augmentation improves efficiency in conformal prediction Brinker, and Florian Buettner

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:07.563554Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 5d9b5c59-1e1f-4274-bd55-8aca97aa8dc6 · outbound

This paper cites Benchmarking Neural Network Robustness to Common Corruptions and Perturbations.

Test-time augmentation improves efficiency in conformal prediction Benchmarking Neural Network Robustness to Common Corruptions and Perturbations

Reference 19

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Observation 5960fefb-918f-483f-884b-7d1ff846687d · outbound

This paper cites Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting.IEEE Transactions on Neural Networks and Learning Systems , pages 1–12, 2022.

Test-time augmentation improves efficiency in conformal prediction Ensemble Conformalized Quantile Regression for Probabilistic Time Series Forecasting.IEEE Transactions on Neural Networks and Learning Systems , pages 1–12, 2022

Reference 20

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Observation 6e09d5f0-8e57-47c6-83c0-50248c3b5d2e · outbound

This paper cites Learning Loss for Test-Time Augmentation.

Test-time augmentation improves efficiency in conformal prediction Learning Loss for Test-Time Augmentation

Reference 21

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Observation 53733587-77e7-4e82-b073-f42e2dd24b47 · outbound

This paper cites Wilds: A benchmark of in-the- wild distribution shifts.

Test-time augmentation improves efficiency in conformal prediction Wilds: A benchmark of in-the- wild distribution shifts

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:06.760550Z

Source-reported events for the cited work

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Observation 5fb30cdf-e8f1-424e-addf-2a39455617a5 · outbound

This paper cites Im- ageNet Classification with Deep Convolutional Neural Net- works.

Test-time augmentation improves efficiency in conformal prediction Im- ageNet Classification with Deep Convolutional Neural Net- works

Reference 23

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Source-reported events for the cited work

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Observation c9559c0e-0e43-4219-b47a-695fb08d59b3 · outbound

This paper cites Exchangeability, Conformal Prediction, and Rank Tests.

Test-time augmentation improves efficiency in conformal prediction Exchangeability, Conformal Prediction, and Rank Tests

Reference 24

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Observation ad92cb19-04b4-4b80-b884-dfac18b34246 · outbound

This paper cites On the Calibration of Aggregated Conformal Predictors.

Test-time augmentation improves efficiency in conformal prediction On the Calibration of Aggregated Conformal Predictors

Reference 25

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Observation 23b6a0d9-c7c3-4325-8587-b5bd6f900292 · outbound

This paper cites Linusson, U.

Test-time augmentation improves efficiency in conformal prediction Linusson, U

Reference 26

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Observation 9e32af24-ed92-452e-9f9e-39093f89bd0d · outbound

This paper cites Improved Text Classification via Test-Time Augmentation.

Test-time augmentation improves efficiency in conformal prediction Improved Text Classification via Test-Time Augmentation

Reference 27

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Observation e8a97794-464d-4d6b-880b-18ba2975b4ad · outbound

This paper cites Greedy Policy Search: A Simple Baseline for Learnable Test-Time Aug- mentation.

Test-time augmentation improves efficiency in conformal prediction Greedy Policy Search: A Simple Baseline for Learnable Test-Time Aug- mentation

Reference 28

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Observation f1872ced-99e0-4c25-b702-c39a94461c73 · outbound

This paper cites Adaptive Test-Time Augmentation for Low-Power CPU.

Test-time augmentation improves efficiency in conformal prediction Adaptive Test-Time Augmentation for Low-Power CPU

Reference 29

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Observation 395d7b3a-3dfa-480e-ad3b-d22ac8c923e0 · outbound

This paper cites iNaturalist competition, 2021.

Test-time augmentation improves efficiency in conformal prediction iNaturalist competition, 2021

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:05.397167Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 34b8083e-a3f8-4578-b7da-c402533f1dc8 · outbound

This paper cites PyTorch: An Imperative Style, High-Performance Deep Learning Library.

Test-time augmentation improves efficiency in conformal prediction PyTorch: An Imperative Style, High-Performance Deep Learning Library

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:05.035624Z

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Observation 5bffa825-21f3-4087-9b7c-82de8ec90c81 · outbound

This paper cites Perez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, and Pablo Arbelaez.

Test-time augmentation improves efficiency in conformal prediction Perez, Motasem Alfarra, Guillaume Jeanneret, Laura Rueda, Ali Thabet, Bernard Ghanem, and Pablo Arbelaez

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:04.804847Z

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Observation 278b61b9-57eb-493a-b4ab-2622139e919b · outbound

This paper cites JAWS: Auditing Predictive Uncertainty Under Covariate Shift.

Test-time augmentation improves efficiency in conformal prediction JAWS: Auditing Predictive Uncertainty Under Covariate Shift

Reference 33

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:08:01.583668Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation a8b703f6-04a8-4ed5-97c6-8bb33718ed8d · outbound

This paper cites Classification with Valid and Adaptive Coverage.

Test-time augmentation improves efficiency in conformal prediction Classification with Valid and Adaptive Coverage

Reference 34

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Source-reported events for the cited work

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Observation 4399d5ba-1528-40bb-b783-62b2b7129c61 · outbound

This paper cites Transduction with Confi- dence and Credibility.

Test-time augmentation improves efficiency in conformal prediction Transduction with Confi- dence and Credibility

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:04.569853Z

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No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 81962986-0548-4ea2-8e81-e8d76fcae336 · outbound

This paper cites A Tutorial on Conformal Prediction.

Test-time augmentation improves efficiency in conformal prediction A Tutorial on Conformal Prediction

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:04.392617Z

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Observation 01a8778f-d039-48ee-ae1d-b6323d4bb81d · outbound

This paper cites Better Aggregation in Test-Time Augmen- tation.

Test-time augmentation improves efficiency in conformal prediction Better Aggregation in Test-Time Augmen- tation

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:04.206506Z

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Observation 6d401db8-0886-4888-a22b-bd18c1c9832b · outbound

This paper cites Learning Optimal Conformal Classifiers.

Test-time augmentation improves efficiency in conformal prediction Learning Optimal Conformal Classifiers

Reference 38

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Source-reported events for the cited work

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Observation c6a17289-f67a-44f1-ae4c-0f5d169f1f8e · outbound

This paper cites Intriguing properties of neural networks.

Test-time augmentation improves efficiency in conformal prediction Intriguing properties of neural networks

Reference 39

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Source-reported events for the cited work

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Observation 6cc39e57-9740-4e2d-ab65-1890649aded1 · outbound

This paper cites Conformal Prediction Under Covari- ate Shift.

Test-time augmentation improves efficiency in conformal prediction Conformal Prediction Under Covari- ate Shift

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.999555Z

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Observation df56415f-8a5d-414f-adf5-c90780f00570 · outbound

This paper cites Benchmarking Rep- resentation Learning for Natural World Image Collections,.

Test-time augmentation improves efficiency in conformal prediction Benchmarking Rep- resentation Learning for Natural World Image Collections,

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.844303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c4c3da7c-05dd-445d-a306-ba4934d58404 · outbound

This paper cites Algorithmic Learning in a Random World.

Test-time augmentation improves efficiency in conformal prediction Algorithmic Learning in a Random World

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.633130Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation ed801347-6781-4852-bae8-64db2251b10a · outbound

This paper cites Cross-conformal predictors.

Test-time augmentation improves efficiency in conformal prediction Cross-conformal predictors

Reference 43

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:08:01.188247Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation b3b22aa8-0954-4947-9dcb-bda5d1bcc3a0 · outbound

This paper cites Cross-conformal predictors.

Test-time augmentation improves efficiency in conformal prediction Cross-conformal predictors

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.448705Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation e81ca6c5-6886-455b-9247-c4aa3e0b03c2 · outbound

This paper cites The caltech-ucsd birds-200-2011 dataset.

Test-time augmentation improves efficiency in conformal prediction The caltech-ucsd birds-200-2011 dataset

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.303928Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 56d060d1-5d90-4672-a03b-64e6efdfc31e · outbound

This paper cites Bonferroni correction.

Test-time augmentation improves efficiency in conformal prediction Bonferroni correction

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:03.155278Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 0998a30a-7036-4a9f-a10b-58a36c87931e · outbound

This paper cites Evaluating the utility of conformal pre- diction sets for ai-advised image labeling.

Test-time augmentation improves efficiency in conformal prediction Evaluating the utility of conformal pre- diction sets for ai-advised image labeling

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:02.915199Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation dac674db-ae6a-4a87-a1fb-a880cdbd7d31 · outbound

This paper cites MEMO: Test Time Robustness via Adaptation and Augmentation,.

Test-time augmentation improves efficiency in conformal prediction MEMO: Test Time Robustness via Adaptation and Augmentation,

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T13:08:02.714242Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation c641611e-8e57-4405-8432-e517a1803808 · outbound

This paper cites an unresolved cited work.

Test-time augmentation improves efficiency in conformal prediction Unresolved cited work

Reference 51

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Observation aa2284e5-5b37-4a00-a17b-73a2652a8aa2 · outbound

This paper cites Benchmarking Representation Learning for Natural World Image Collections.

Test-time augmentation improves efficiency in conformal prediction Benchmarking Representation Learning for Natural World Image Collections

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-07T13:08:01.342781Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 33741e76-3e0d-43c6-8885-27ba17d72306 · outbound

This paper cites MEMO: Test Time Robustness via Adaptation and Augmentation.

Test-time augmentation improves efficiency in conformal prediction MEMO: Test Time Robustness via Adaptation and Augmentation

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-07T13:08:00.618690Z

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Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.