Paper Citation Record · LEDGER

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States

As of 16 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 0 inbound Pith citation observations for arXiv:1908.05841.

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

pith.paper-citation-record.v1
1908.05841 v1

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

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measured 51 of 51 standing notices

One-hop event checks from named stored sources.

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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

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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 80b0043c-7ba2-4489-9c0b-b84d9f3f59dd · outbound

This paper cites an unresolved cited work.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 1

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Observation 3376ba82-fdb0-4307-89f7-3eb4c643940b · outbound

This paper cites A., Swain, P.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States A., Swain, P

Reference 2

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Observation c97c6410-0d89-4900-8999-2cd6e6244c50 · outbound

This paper cites Geophys Res Lett 36:L09803.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Geophys Res Lett 36:L09803

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:08:46.125471Z

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Observation 179f0b60-4f25-4e1a-baf9-be7f82612d01 · outbound

This paper cites Geophys Res Lett 42(9):3414-3420.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Geophys Res Lett 42(9):3414-3420

Reference 4

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Observation e1a2fcf6-f19a-4984-a31b-f1d0e6cdc397 · outbound

This paper cites & Benediktsson, J.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States & Benediktsson, J

Reference 5

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Observation 1b031c8f-a697-47a8-ad91-9bbfed2cdb17 · outbound

This paper cites J Geophys Res 117:D22307.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States J Geophys Res 117:D22307

Reference 6

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Observation c532986a-fc64-4c30-9eb7-07ece6eea94d · outbound

This paper cites P., et al.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States P., et al

Reference 7

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Observation 31210fb1-6061-4f4e-a82b-085da599b3ee · outbound

This paper cites N., Yoshida, Y ., Olsen, J.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States N., Yoshida, Y ., Olsen, J

Reference 8

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Observation a72823c5-4597-4056-9e37-72bbad88ce74 · outbound

This paper cites (2009) Multimodel estimates of intercontinental sourcereceptor relationships for ozone pollution.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States (2009) Multimodel estimates of intercontinental sourcereceptor relationships for ozone pollution

Reference 9

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Observation 3948d6f4-0b8f-4699-84af-52b9846c1e39 · outbound

This paper cites M., Naik, V ., and Leibensperger, E.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States M., Naik, V ., and Leibensperger, E

Reference 10

Resolution: verified exact; raw_fallback, observed 2026-08-14T13:08:44.695366Z

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Observation 7680b642-4c42-4405-8c52-aebff9deac70 · outbound

This paper cites Atmos Environ 34(2):171–176.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Atmos Environ 34(2):171–176

Reference 11

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Observation f078eb90-7ffb-4fef-86c2-6a3c8efe7361 · outbound

This paper cites an unresolved cited work.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 12

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Observation a3def0db-9122-42aa-8721-3872a0ae7527 · outbound

This paper cites & Camps-Valls, G.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States & Camps-Valls, G

Reference 13

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Observation 6bfc1c10-1052-43df-b379-2b3695ce035b · outbound

This paper cites (2016) Deep Learning.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States (2016) Deep Learning

Reference 14

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Observation 3b52b9de-f834-4cae-9799-a30744d39ef5 · outbound

This paper cites Digital selection and analogue ampliﬁcation coexist in a cortex-inspired silicon circuit.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Digital selection and analogue ampliﬁcation coexist in a cortex-inspired silicon circuit

Reference 15

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Observation 79bd85b2-8e55-49fc-8df9-438d703de755 · outbound

This paper cites Long short-term memory.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Long short-term memory

Reference 16

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Observation 655d1280-cdd8-41e3-8872-d238feec05f3 · outbound

This paper cites Bengio, P.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Bengio, P

Reference 17

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Observation 71118bb8-ca12-495a-98ca-888430118b36 · outbound

This paper cites M., Smith, S.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States M., Smith, S

Reference 18

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Observation 0347d4fe-4b44-45fe-b52d-c6405c85931d · outbound

This paper cites Steinberger, R.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Steinberger, R

Reference 19

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Observation df017ca7-6ed5-44f5-ad07-3f9447885c87 · outbound

This paper cites Brian, W.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Brian, W

Reference 20

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Observation b3a4d20b-bd23-4ba6-acee-1d788863472e · outbound

This paper cites M., Murray, L.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States M., Murray, L

Reference 21

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Observation 122aa27e-dd7d-423b-85ec-e7fe58250a23 · outbound

This paper cites Proc Natl Acad Sci USA 111(40):14360-14365.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Proc Natl Acad Sci USA 111(40):14360-14365

Reference 22

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Observation c46355df-51db-4739-923e-88d009565b22 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Adam: A Method for Stochastic Optimization

Reference 23

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Observation 403107fa-ffc7-4e2f-bb0c-5d1e7f54e2fe · outbound

This paper cites Boser, J.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Boser, J

Reference 24

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Observation bda2f3a7-da52-402e-8a81-dd697fde665f · outbound

This paper cites C., Sengupta, S.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States C., Sengupta, S

Reference 25

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 26

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Observation d04bfc8e-3186-40c2-b6c7-a07c4b744350 · outbound

This paper cites and Wang, Y.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States and Wang, Y

Reference 27

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Observation 06c89221-6180-4c7e-90f2-3db66e4c5cc6 · outbound

This paper cites W., Cooper, O.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States W., Cooper, O

Reference 28

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Observation fe2b2eb8-2fe2-4883-8eae-182581814605 · outbound

This paper cites an unresolved cited work.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 29

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Observation 8295a2a7-6548-4be0-b894-fa7e274971e0 · outbound

This paper cites W., Payton, R., Fiore, A.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States W., Payton, R., Fiore, A

Reference 30

Resolution: verified exact; doi, observed 2026-08-14T13:08:44.178191Z

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Observation a483bbb5-2db9-40b5-ba26-bb7384777370 · outbound

This paper cites Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Application of Deep Convolutional Neural Networks for Detecting Extreme Weather in Climate Datasets

Reference 31

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 32

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 33

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Observation 03d37edb-7ec3-4e16-8d64-8cffae92c1eb · outbound

This paper cites W., Yumimoto, K., Walker, T., and Sudo, K.: Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis, Atmos.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States W., Yumimoto, K., Walker, T., and Sudo, K.: Evaluation of a multi-model, multi-constituent assimilation framework for tropospheric chemical reanalysis, Atmos

Reference 34

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Observation 79d5f755-3140-4423-bf2c-85962f44ebaf · outbound

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 35

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Observation 7beefe5c-a718-4f99-bbc2-a99ba8a5e06f · outbound

This paper cites J., et al.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States J., et al

Reference 36

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This paper cites Reichstein, et al., Deep learning and process understanding for data-driven Earth system science, Nature 566, pages195–204 (2019).

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Reichstein, et al., Deep learning and process understanding for data-driven Earth system science, Nature 566, pages195–204 (2019)

Reference 37

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This paper cites R., Fiore, A.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States R., Fiore, A

Reference 38

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Observation afc00172-f158-405b-b851-432c32ff7ddc · outbound

This paper cites U-Net: Convolutional Networks for Biomedical Image Segmentation.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States U-Net: Convolutional Networks for Biomedical Image Segmentation

Reference 39

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This paper cites Learning representations by back- propagating errors.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Learning representations by back- propagating errors

Reference 40

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 41

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Observation b093f0f8-25d0-43bb-b6b4-f867028cc665 · outbound

This paper cites Shen, and Loretta J.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Shen, and Loretta J

Reference 42

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

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This paper cites F., Jacob, D.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States F., Jacob, D

Reference 44

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Observation 8e5189e7-c1d1-42dc-855e-2ae3a63c7509 · outbound

This paper cites Science 309(5731):115-118.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Science 309(5731):115-118

Reference 45

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Observation b791946b-4831-4165-9c27-70d480b8ff56 · outbound

This paper cites J Clim 20(5):891-907.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States J Clim 20(5):891-907

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:08:44.817970Z

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Observation f81d0439-6f8a-4983-9fcb-66c076c4e200 · outbound

This paper cites R., et al.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States R., et al

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-14T13:08:44.747619Z

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Observation 05511f58-0fb4-4f1e-b136-f09e7e0b8016 · outbound

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 48

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Observation c6922591-8f08-4794-86e8-974f673eabb4 · outbound

This paper cites Visualizing and Understanding Convolutional Networks.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Visualizing and Understanding Convolutional Networks

Reference 49

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Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Unresolved cited work

Reference 50

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Observation 84af5042-2039-420b-b42a-72a3571a2641 · outbound

This paper cites Learning Deep Features for Discriminative Localization.

Recurrent U-net: Deep learning to predict daily summertime ozone in the United States Learning Deep Features for Discriminative Localization

Reference 51

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Pith citing papers

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