Paper Citation Record · LEDGER

Human uncertainty makes classification more robust

As of 16 August 2026, this Paper Citation Record lists 54 of 54 outbound references and 1 inbound Pith citation observation for arXiv:1908.07086.

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

pith.paper-citation-record.v1
1908.07086 v1

Coverage vector

measured 54 of 54 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:31:29.206120Z

measured 55 of 55 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T23:35:27.150286Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-06T23:35:29.196730Z

Reference resolution

54 of 54 outbound references displayed

verified exact0
verified fuzzy39
unresolved15
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 30a717d6-2774-4bda-b258-8842fab23bdd · outbound

This paper cites The moral machine experiment.

Human uncertainty makes classification more robust The moral machine experiment

Reference 1

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Observation 6809d0ab-2272-4d83-9e0d-fb6ec67748a6 · outbound

This paper cites Wild patterns: Ten years af- ter the rise of adversarial machine learning.

Human uncertainty makes classification more robust Wild patterns: Ten years af- ter the rise of adversarial machine learning

Reference 2

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Observation 59abe110-2ded-4cb4-ae30-8370bb28aa21 · outbound

This paper cites an unresolved cited work.

Human uncertainty makes classification more robust Unresolved cited work

Reference 3

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Observation 49e88384-2c02-446d-a146-bf787937b7b2 · outbound

This paper cites Visual recognition with humans in the loop.

Human uncertainty makes classification more robust Visual recognition with humans in the loop

Reference 4

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Observation 8f5b4c2d-e625-4405-ba9e-f421336b6131 · outbound

This paper cites Amazon’s mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1):3–5, 2011.

Human uncertainty makes classification more robust Amazon’s mechanical turk: A new source of inexpensive, yet high-quality, data? Perspectives on Psychological Science, 6(1):3–5, 2011

Reference 5

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This paper cites an unresolved cited work.

Human uncertainty makes classification more robust Unresolved cited work

Reference 6

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Observation 85c29581-be58-4d47-b881-2a651c452ff7 · outbound

This paper cites Crowley, Antreas Antoniou, and Amos J.

Human uncertainty makes classification more robust Crowley, Antreas Antoniou, and Amos J

Reference 7

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Observation c57b8ddb-87de-42e6-8415-6890c1a7f78a · outbound

This paper cites Large-scale object classiﬁcation using la- bel relation graphs.

Human uncertainty makes classification more robust Large-scale object classiﬁcation using la- bel relation graphs

Reference 8

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This paper cites Fergus, H.

Human uncertainty makes classification more robust Fergus, H

Reference 9

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Observation 8fc656d3-ddf4-4259-a3aa-93602ad1567a · outbound

This paper cites CINIC-10 is not ImageNet or CIFAR-10.

Human uncertainty makes classification more robust CINIC-10 is not ImageNet or CIFAR-10

Reference 10

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Observation 610e0066-84a6-434a-a86b-799bf9c4ea41 · outbound

This paper cites Frome, G.S.

Human uncertainty makes classification more robust Frome, G.S

Reference 11

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Observation 462243de-6ee5-4f84-becf-e020f99546fa · outbound

This paper cites Shake-Shake regularization.

Human uncertainty makes classification more robust Shake-Shake regularization

Reference 12

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Observation 91294502-137c-4f2b-8972-ebac0042d3c0 · outbound

This paper cites Robust loss functions under label noise for deep neural networks.

Human uncertainty makes classification more robust Robust loss functions under label noise for deep neural networks

Reference 13

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Observation 1372fa6a-751f-4d97-be23-e3ebb163f3d9 · outbound

This paper cites Explaining and Harnessing Adversarial Examples.

Human uncertainty makes classification more robust Explaining and Harnessing Adversarial Examples

Reference 14

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This paper cites Grifﬁn and P.

Human uncertainty makes classification more robust Grifﬁn and P

Reference 15

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Observation 85d0b568-fcac-4be0-9b44-2f726c4d417b · outbound

This paper cites Deep pyra- midal residual networks.

Human uncertainty makes classification more robust Deep pyra- midal residual networks

Reference 16

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Observation 4b044e90-b304-425e-91d5-0f3cb38f3a8e · outbound

This paper cites Deep residual learning for image recognition.

Human uncertainty makes classification more robust Deep residual learning for image recognition

Reference 17

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Observation 49a80edc-4df9-41a8-b16c-f3d0583020e9 · outbound

This paper cites Identity mappings in deep residual networks.

Human uncertainty makes classification more robust Identity mappings in deep residual networks

Reference 18

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Observation d9320008-ac1d-4b34-9923-52460a043dc8 · outbound

This paper cites Deep Learning Scaling is Predictable, Empirically.

Human uncertainty makes classification more robust Deep Learning Scaling is Predictable, Empirically

Reference 19

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Observation 72726978-ed85-4674-add1-99bbed89b045 · outbound

This paper cites Distilling the Knowledge in a Neural Network.

Human uncertainty makes classification more robust Distilling the Knowledge in a Neural Network

Reference 20

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Observation adb449c3-e8c0-47e0-8971-75dfccbb8e43 · outbound

This paper cites Densely connected convolutional net- works.

Human uncertainty makes classification more robust Densely connected convolutional net- works

Reference 21

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Observation f3cbfa24-8123-427b-8e97-7fb5300b95c2 · outbound

This paper cites GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism.

Human uncertainty makes classification more robust GPipe: Efficient Training of Giant Neural Networks using Pipeline Parallelism

Reference 22

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This paper cites Hwang, F.

Human uncertainty makes classification more robust Hwang, F

Reference 23

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This paper cites Jia, J.T.

Human uncertainty makes classification more robust Jia, J.T

Reference 24

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Observation b8615137-c55d-4e5d-984a-23ff98f69eb0 · outbound

This paper cites Kingma and Jimmy Ba.

Human uncertainty makes classification more robust Kingma and Jimmy Ba

Reference 25

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This paper cites Crowdsourcing in Computer Vision.

Human uncertainty makes classification more robust Crowdsourcing in Computer Vision

Reference 26

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Observation dadfc66a-2286-4d4a-a7de-f042a83ad5ef · outbound

This paper cites Shamma, Michael S.

Human uncertainty makes classification more robust Shamma, Michael S

Reference 27

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This paper cites Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A.

Human uncertainty makes classification more robust Krishna, Kenji Hata, Stephanie Chen, Joshua Kravitz, David A

Reference 28

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

Human uncertainty makes classification more robust Learning multiple layers of features from tiny images

Reference 29

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This paper cites Ad- versarial examples in the physical world.

Human uncertainty makes classification more robust Ad- versarial examples in the physical world

Reference 30

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This paper cites Adver- sarial machine learning at scale.

Human uncertainty makes classification more robust Adver- sarial machine learning at scale

Reference 31

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This paper cites Women, ﬁre, and dangerous things.

Human uncertainty makes classification more robust Women, ﬁre, and dangerous things

Reference 32

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This paper cites an unresolved cited work.

Human uncertainty makes classification more robust Unresolved cited work

Reference 33

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This paper cites Microsoft coco: Common objects in context.

Human uncertainty makes classification more robust Microsoft coco: Common objects in context

Reference 34

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This paper cites Marszalek and C.

Human uncertainty makes classification more robust Marszalek and C

Reference 35

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Observation 5fc9148c-c6a5-4de5-b524-7d83ee6ad4fd · outbound

This paper cites Combining crowd and expert labels using decision theoretic active learning.

Human uncertainty makes classification more robust Combining crowd and expert labels using decision theoretic active learning

Reference 36

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Observation 751926bf-2b74-473d-9aff-3cd64a63e6fc · outbound

This paper cites Learning classiﬁcation models with soft-label information.

Human uncertainty makes classification more robust Learning classiﬁcation models with soft-label information

Reference 37

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This paper cites Distillation as a defense to adver- sarial perturbations against deep neural networks.

Human uncertainty makes classification more robust Distillation as a defense to adver- sarial perturbations against deep neural networks

Reference 38

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This paper cites Automatic differentiation in PyTorch.

Human uncertainty makes classification more robust Automatic differentiation in PyTorch

Reference 39

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This paper cites Do CIFAR-10 Classifiers Generalize to CIFAR-10?.

Human uncertainty makes classification more robust Do CIFAR-10 Classifiers Generalize to CIFAR-10?

Reference 40

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This paper cites Deep Learning is Robust to Massive Label Noise.

Human uncertainty makes classification more robust Deep Learning is Robust to Massive Label Noise

Reference 41

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This paper cites Imagenet large scale visual recognition challenge.

Human uncertainty makes classification more robust Imagenet large scale visual recognition challenge

Reference 42

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This paper cites Very deep con- volutional networks for large-scale image recognition.

Human uncertainty makes classification more robust Very deep con- volutional networks for large-scale image recognition

Reference 43

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Observation 022f237b-ff98-4a57-b085-4638198c2ca7 · outbound

This paper cites Rethinking the inception ar- chitecture for computer vision.

Human uncertainty makes classification more robust Rethinking the inception ar- chitecture for computer vision

Reference 44

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Observation d913813e-ff11-4bdc-8fa5-ed59f9e40418 · outbound

This paper cites In- triguing properties of neural networks.

Human uncertainty makes classification more robust In- triguing properties of neural networks

Reference 45

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Observation 750ea827-2fed-4bc3-b05f-3e1584add933 · outbound

This paper cites Unbiased look at dataset bias.

Human uncertainty makes classification more robust Unbiased look at dataset bias

Reference 46

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This paper cites 80 million tiny images: A large data set for nonparametric object and scene recognition.

Human uncertainty makes classification more robust 80 million tiny images: A large data set for nonparametric object and scene recognition

Reference 47

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Observation 06d48e48-e425-439b-a8fb-64433515f28a · outbound

This paper cites Sharing visual features for multiclass and multiview object detection.

Human uncertainty makes classification more robust Sharing visual features for multiclass and multiview object detection

Reference 48

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Observation 249abe6d-0ceb-4e76-add6-2e9fc26cbb4e · outbound

This paper cites Toward robustness against label noise in train- ing deep discriminative neural networks.

Human uncertainty makes classification more robust Toward robustness against label noise in train- ing deep discriminative neural networks

Reference 49

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Observation 322efd19-d89f-4b8d-8382-29edaff157b1 · outbound

This paper cites Aggregated residual transformations for deep neural networks.

Human uncertainty makes classification more robust Aggregated residual transformations for deep neural networks

Reference 50

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This paper cites Wide residual net- works.

Human uncertainty makes classification more robust Wide residual net- works

Reference 51

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Observation 5f6d8689-3bb8-4e0b-9325-67a9ec9587b4 · outbound

This paper cites mixup: Beyond empirical risk minimiza- tion.

Human uncertainty makes classification more robust mixup: Beyond empirical risk minimiza- tion

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T12:31:29.420438Z

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Observation 58cf0c26-f300-438b-9b97-c1ec2652e4bb · outbound

This paper cites Places: A 10 million image database for scene recognition.

Human uncertainty makes classification more robust Places: A 10 million image database for scene recognition

Reference 53

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Observation 327ab989-538f-4440-9490-45f82d723112 · outbound

This paper cites Zweig and D.

Human uncertainty makes classification more robust Zweig and D

Reference 54

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Pith citing papers

Observation 13570b3e-2860-4343-976e-f69c8d601dea · inbound

Detecting LLM-Generated Short Answers and Effects on Learner Performance cites this paper.

Detecting LLM-Generated Short Answers and Effects on Learner Performance Human uncertainty makes classification more robust

Reference 26

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