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Paper Citation Record · LEDGER

Learning Physically Interpretable Atmospheric Models from Data with WSINDy

As of 14 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 2 inbound Pith citation observations for arXiv:2501.00738.

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

pith.paper-citation-record.v1
2501.00738 v2

Coverage vector

measured 34 of 34 reference resolution

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measured 36 of 36 standing notices

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measured 2 of 2 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: pith, observed 2026-08-06T20:21:15.205534Z

Reference resolution

34 of 34 outbound references displayed

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External citation measurements

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Outbound references

Observation bfc36f35-1d57-4a36-bfeb-2455ae5f748d · outbound

This paper cites write newline.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy write newline

Reference 1

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This paper cites , Rochanotes , Ross, A.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Rochanotes , Ross, A

Reference 2

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This paper cites \ Th \'e paut, J N.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Th \'e paut, J N

Reference 3

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This paper cites , Messenger, D A.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Messenger, D A

Reference 4

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This paper cites , Messenger, D A.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Messenger, D A

Reference 5

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This paper cites , Proctor, J L.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Proctor, J L

Reference 6

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This paper cites , Vasil, G M.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Vasil, G M

Reference 7

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This paper cites , Fj \"o rtoft, R.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Fj \"o rtoft, R

Reference 8

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This paper cites APACrefauthors \ 2023.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy APACrefauthors \ 2023

Reference 9

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This paper cites APACrefauthors \ 2021 10.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy APACrefauthors \ 2021 10

Reference 10

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This paper cites , Scott, R K.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Scott, R K

Reference 11

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This paper cites , Golden, M R.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Golden, M R

Reference 12

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This paper cites , Maddix, D C.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Maddix, D C

Reference 13

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This paper cites , Yuval, J.

Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Yuval, J

Reference 14

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Smith, L M

Reference 15

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Nardini, J T

Reference 16

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Sanchez-Gonzalez , A

Reference 17

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Herrmann, B

Reference 18

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Perlman, E

Reference 19

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Cahen, G M

Reference 20

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy APACrefauthors \ 1963 03

Reference 21

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy APACrefauthors \ 1984 09

Reference 22

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Meneveau, C

Reference 23

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Bortz, D M

Reference 24

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Bortz, D M

Reference 25

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Dwyer, G

Reference 26

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy The Weak Form Is Stronger Than You Think

Reference 27

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Tran, A

Reference 28

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Hoyer, S

Reference 29

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Kageorge, L M

Reference 30

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Brunton, S L

Reference 31

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy , Messenger, D A

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy APACrefauthors \ 2003

Reference 33

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Learning Physically Interpretable Atmospheric Models from Data with WSINDy \ Bolton, T

Reference 34

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Pith citing papers

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Learning Structured Population Models from Data with WSINDy cites this paper.

Learning Structured Population Models from Data with WSINDy Learning Physically Interpretable Atmospheric Models from Data with WSINDy

Reference 26

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Weak Form Scientific Machine Learning: Test Function Construction for System Identification cites this paper.

Weak Form Scientific Machine Learning: Test Function Construction for System Identification Learning Physically Interpretable Atmospheric Models from Data with WSINDy

Reference 29

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