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Paper Citation Record · LEDGER

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification

As of 22 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2606.29440.

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

pith.paper-citation-record.v1
2606.29440 v1

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measured 36 of 36 reference resolution

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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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External citation measurements

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Outbound references

Observation 19a4449e-f806-4549-81b3-20b999c4dc78 · outbound

This paper cites H., Peri´ c, M.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification H., Peri´ c, M

Reference 1

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Observation 8c5c60bf-29d8-4dff-9594-302f34233825 · outbound

This paper cites C., Taylor, R.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification C., Taylor, R

Reference 2

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This paper cites M.The Finite Element Method in Electromagnetics(John Wiley & Sons, 2015).

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification M.The Finite Element Method in Electromagnetics(John Wiley & Sons, 2015)

Reference 3

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Observation 9763ed10-31b3-4740-abb8-28f4a25afd86 · outbound

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & White, H

Reference 4

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Observation d6170053-e8e9-4fb5-85e0-491d67ca4b37 · outbound

This paper cites & Chen, H.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Chen, H

Reference 5

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This paper cites & Chen, H.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Chen, H

Reference 6

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This paper cites & Karniadakis, G.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Karniadakis, G

Reference 7

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Observation 66b9ea87-01ff-4de2-a846-448f23d3ee10 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Fourier Neural Operator for Parametric Partial Differential Equations

Reference 8

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Observation 205ba1d2-d65e-439c-800a-5619b7e9ac0b · outbound

This paper cites Neural Operator: Graph Kernel Network for Partial Differential Equations.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Neural Operator: Graph Kernel Network for Partial Differential Equations

Reference 9

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This paper cites & Anandkumar, A.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Anandkumar, A

Reference 10

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This paper cites & Perdikaris, P.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Perdikaris, P

Reference 11

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This paper cites & Anandkumar, A.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Anandkumar, A

Reference 12

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

Reference 13

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Pao, Y.-H

Reference 17

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

Reference 18

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Sobajic, D

Reference 19

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Yang, Z

Reference 20

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

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This paper cites & Sun, J.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Sun, J

Reference 22

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This paper cites & Wang, F.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Wang, F

Reference 23

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This paper cites & Wang, F.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Wang, F

Reference 24

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This paper cites & Wang, F.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Wang, F

Reference 25

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This paper cites & Wang, F.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Wang, F

Reference 26

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This paper cites an unresolved cited work.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

Reference 27

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This paper cites A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification A Gentle Introduction to Conformal Prediction and Distribution-Free Uncertainty Quantification

Reference 28

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This paper cites & Gammerman, A.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Gammerman, A

Reference 29

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This paper cites & Shafer, G.Algorithmic Learning in a Random World(Springer, Boston, 2005).

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Shafer, G.Algorithmic Learning in a Random World(Springer, Boston, 2005)

Reference 30

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Observation 5156a105-7e19-4ca8-8ba2-95e0ca9f0a90 · outbound

This paper cites S.Adaptive Filter Theory(Pearson Education India, 2008).

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification S.Adaptive Filter Theory(Pearson Education India, 2008)

Reference 31

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This paper cites H.Fundamentals of Adaptive Filtering(John Wiley & Sons, Hoboken, 2003).

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification H.Fundamentals of Adaptive Filtering(John Wiley & Sons, Hoboken, 2003)

Reference 32

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This paper cites & Karniadakis, G.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Karniadakis, G

Reference 33

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This paper cites & Maggioni, M.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Maggioni, M

Reference 34

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification & Karniadakis, G

Reference 35

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Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

Reference 36

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Observation c6fbdae1-2b9e-405b-ab3f-7d1821bb1a8a · outbound

This paper cites an unresolved cited work.

Randomized neural operator for parametric PDEs with fast training and conformal uncertainty quantification Unresolved cited work

Reference 37

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-30T08:05:48.085997Z digest=sha256:93c4c35b45529a21ec66b972f5ede782ede2f61b7221fab0198628fdba039762

Pith citing papers

No inbound Pith citation observations are available.