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Paper Citation Record · LEDGER

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees

As of 18 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2608.02036.

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

pith.paper-citation-record.v1
2608.02036 v1

Coverage vector

measured 55 of 55 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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55 of 55 outbound references displayed

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Outbound references

Observation e37865ea-2890-4f55-9448-d5b436e13115 · outbound

This paper cites Ouyang, Y.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Ouyang, Y

Reference 1

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This paper cites an unresolved cited work.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 2

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This paper cites an unresolved cited work.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 3

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This paper cites Amsallem and C.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Amsallem and C

Reference 4

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This paper cites an unresolved cited work.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 5

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This paper cites Dondl, J.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Dondl, J

Reference 6

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 7

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This paper cites A Non-Overlapping Schwarz Hybrid Finite Element-Neural Operator Framework for Solid Mechanics on Irregular Domains.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees A Non-Overlapping Schwarz Hybrid Finite Element-Neural Operator Framework for Solid Mechanics on Irregular Domains

Reference 8

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 9

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This paper cites Song and G.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Song and G

Reference 10

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 11

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 12

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This paper cites Finite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEs.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Finite Element Neural Network Interpolation. Part I: Interpretable and Adaptive Discretization for Solving PDEs

Reference 13

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This paper cites CompNO: A Novel Foundation Model approach for solving Partial Differential Equations.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees CompNO: A Novel Foundation Model approach for solving Partial Differential Equations

Reference 14

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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This paper cites Kovachki, Z.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Kovachki, Z

Reference 17

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Observation 57c494cf-575d-494a-857c-4356e1816922 · outbound

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Lanthaler, S

Reference 18

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Pfaff, M

Reference 21

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Raissi, P

Reference 22

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Samaniego, C

Reference 24

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Kharazmi, Z

Reference 25

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This paper cites Learningtheso- lution operator of parametric partial differential equa- tions with physics-informed DeepONets.Science Ad- vances, 7(40):eabi8605, 2021.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Learningtheso- lution operator of parametric partial differential equa- tions with physics-informed DeepONets.Science Ad- vances, 7(40):eabi8605, 2021

Reference 26

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Goswami, M

Reference 27

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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This paper cites Time-marching neural operator–FE coupling: AI- accelerated physics modeling.Computer Methods in Applied Mechanics and Engineering, 446:118319, 2025.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Time-marching neural operator–FE coupling: AI- accelerated physics modeling.Computer Methods in Applied Mechanics and Engineering, 446:118319, 2025

Reference 29

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Capuano and J

Reference 30

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Koeppe, F

Reference 31

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Oishi and G

Reference 32

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Parish, P

Reference 34

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Benner, S

Reference 35

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Lee and K

Reference 37

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation c8d37201-4f56-4c4a-b8ca-2add2184e173 · outbound

This paper cites Ghaboussi, J.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Ghaboussi, J

Reference 39

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation 8ece7576-6c73-4b2e-88d9-1721eeacdd7b · outbound

This paper cites Kirchdoerfer and M.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Kirchdoerfer and M

Reference 41

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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This paper cites Moseley, A.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Moseley, A

Reference 43

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation 2555577b-2564-478e-a1ce-0644ae3e3583 · outbound

This paper cites Heinlein, A.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Heinlein, A

Reference 45

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation 1164fad6-6c42-45ad-98a3-f82830189760 · outbound

This paper cites As’ad, P.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees As’ad, P

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Observation 6a9e3260-9a34-46d9-b855-0e6a3145e471 · outbound

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation 4c8f9df1-66a4-4366-a341-8461aa3a7870 · outbound

This paper cites Ouyang, S.-W.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Ouyang, S.-W

Reference 50

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Observation 160336f0-9905-403b-808b-aac04df0d453 · outbound

This paper cites Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Neural-Schwarz Tiling for Geometry-Universal PDE Solving at Scale

Reference 51

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Observation 4763459a-2feb-4104-9927-8a3fddb9fe42 · outbound

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

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Observation 55720198-7e66-4a43-8304-ad2a4fc2d1b0 · outbound

This paper cites Pundir, F.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Pundir, F

Reference 53

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Observation 5ad25548-0c8d-4687-9ae0-73a692de14d4 · outbound

This paper cites Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs.

Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs

Reference 54

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Observation df725256-fb54-48ed-8d7c-1fec45b9fed4 · outbound

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Convex Neural Energy Elements: Monolithic Finite-Element Assembly of Geometry-Parameterized Neural Operators with Stability and Error Guarantees Unresolved cited work

Reference 2026

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