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Paper Citation Record · LEDGER

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

As of 10 August 2026, this Paper Citation Record lists 61 of 61 outbound references and 7 inbound Pith citation observations for arXiv:2508.06981.

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

pith.paper-citation-record.v1
2508.06981 v1

Coverage vector

measured 61 of 61 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:33:52.685885Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-04T17:58:16.738129Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T08:07:45.403730Z

Reference resolution

61 of 61 outbound references displayed

  • verified exact2
  • verified fuzzy47
  • unresolved11
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9ec4dcc5-624c-470e-a6b1-5491ba620ed6 · outbound

This paper cites Data- driven whitney forms for structure-preserving control volume analysis.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Data- driven whitney forms for structure-preserving control volume analysis

Reference 1

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 01bb14de-72d0-479b-b714-083961eebd13 · outbound

This paper cites Zico Kolter.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Zico Kolter

Reference 2

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 925ec403-c012-46ed-a24f-c79bce7b17cb · outbound

This paper cites Mfem: A modular finite element methods library.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Mfem: A modular finite element methods library

Reference 3

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b5437b5f-deab-4584-bca6-7cabe49afdd6 · outbound

This paper cites A multiscale mortar mixed finite element method.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms A multiscale mortar mixed finite element method

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 339b8869-f559-4115-95ef-620cdf6cefe6 · outbound

This paper cites Minimization of functions having lipschitz continuous first partial derivatives.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Minimization of functions having lipschitz continuous first partial derivatives

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cad27be1-b190-4798-a219-d0def8ceb9d2 · outbound

This paper cites Finite element exterior calculus.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finite element exterior calculus

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 91d84c03-0950-4849-bdce-1112eaecf1cc · outbound

This paper cites Compatible spatial discretizations, volume 142.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Compatible spatial discretizations, volume 142

Reference 7

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 52664c0d-7d4f-4d4f-8779-69312747858a · outbound

This paper cites Finite element exterior calculus, homo- logical techniques, and applications.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finite element exterior calculus, homo- logical techniques, and applications

Reference 8

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 57a76cec-80b4-4f35-99bd-b42f2cfe7974 · outbound

This paper cites an unresolved cited work.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 4e6d9bf2-bf8c-4b2e-8ea9-a1e2aee3dff7 · outbound

This paper cites E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials

Reference 10

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a82a859b-2d2f-439e-9f73-edc1db5574f7 · outbound

This paper cites Roux, Pascal Vincent, Olivier Delalleau, and Patrice Marcotte.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Roux, Pascal Vincent, Olivier Delalleau, and Patrice Marcotte

Reference 11

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 186bf0fd-b4a2-4139-bfde-c68883d56b4f · outbound

This paper cites Parallel lagrange–newton–krylov–schur methods for pde- constrained optimization.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Parallel lagrange–newton–krylov–schur methods for pde- constrained optimization

Reference 12

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e73c6a5c-9890-41f0-bf2b-44db0ed71270 · outbound

This paper cites Solving pdes with intrepid.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Solving pdes with intrepid

Reference 13

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d4c92b01-6e6a-4d62-9cc2-9730283152fb · outbound

This paper cites Principles of mimetic discretizations of differential opera- tors.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Principles of mimetic discretizations of differential opera- tors

Reference 14

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 7f156d5a-99d1-4cf3-b5e0-f8265330a847 · outbound

This paper cites Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brand- stetter, Patrick Garvan, Maik Riechert, Jonathan A.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Bruinsma, Ana Lucic, Megan Stanley, Anna Allen, Johannes Brand- stetter, Patrick Garvan, Maik Riechert, Jonathan A

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 659ed2f7-ba66-472e-aaee-34e167171dcb · outbound

This paper cites Streamline upwind/petrov-galerkin formulations for convection dominated flows with particular emphasis on the incompressible navier-stokes equa- tions.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Streamline upwind/petrov-galerkin formulations for convection dominated flows with particular emphasis on the incompressible navier-stokes equa- tions

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 17a01274-ce13-4f05-83ac-5ec4bbfd268e · outbound

This paper cites Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Equivariant geometric learning for digital rock physics: estimating formation factor and effective permeability tensors from Morse graph

Reference 17

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:33:53.621667Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation b10c6c02-274e-417c-870a-7adda6c8cf32 · outbound

This paper cites Recommendations for future efforts in rans modeling and simu- lation.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Recommendations for future efforts in rans modeling and simu- lation

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8c9a0eba-0ad9-4f2a-8a28-4be6325ea885 · outbound

This paper cites Lowe, and Ruoying He.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Lowe, and Ruoying He

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5ba8a40a-d498-4de0-b739-0af71c58d1c8 · outbound

This paper cites Learning Gradients of Convex Functions with Monotone Gradient Networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Learning Gradients of Convex Functions with Monotone Gradient Networks

Reference 20

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:33:53.353679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 5fff6372-992f-4199-86aa-2b08bd95455d · outbound

This paper cites Neural ordinary differential equations.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Neural ordinary differential equations

Reference 21

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 367076d5-e06c-4385-9a07-a47480890c4a · outbound

This paper cites Symplectic Recurrent Neural Networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Symplectic Recurrent Neural Networks

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation d7ca2750-efba-4e9a-9590-a8d5aa29a7c5 · outbound

This paper cites Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Projection-based reduced order models for parameterized nonlinear time-dependent problems arising in cardiac mechanics

Reference 23

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:02.987982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 3942108f-765e-4f5d-b5c9-891cbe5e1f3c · outbound

This paper cites Tvb runge-kutta local projection discontinuous galerkin finite element method for conservation laws.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Tvb runge-kutta local projection discontinuous galerkin finite element method for conservation laws

Reference 24

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verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation f889856d-0324-4dec-8038-f4397f5c8c31 · outbound

This paper cites Group equivariant convolutional networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Group equivariant convolutional networks

Reference 25

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8cf254c3-f6d3-4516-ac74-d070a25f807c · outbound

This paper cites Lagrangian Neural Networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Lagrangian Neural Networks

Reference 26

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation e3201c7a-ad11-47ee-80b9-8e8a2e55bf5d · outbound

This paper cites Bert: Pre-training of deep bidirectional transformers for language understanding.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Bert: Pre-training of deep bidirectional transformers for language understanding

Reference 27

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation a4048a3a-ecde-4872-a40e-cffb41f9b470 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 28

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unresolved
no resolver link, observed 2026-08-05T22:33:48.518181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 0db96564-40f2-46aa-a599-96da9c186851 · outbound

This paper cites Turbulence modeling in the age of data.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Turbulence modeling in the age of data

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:02.018416Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 0ba58223-b0a2-4fd3-ac4e-941868c663d9 · outbound

This paper cites Statistical theory and modeling for turbulent flows.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Statistical theory and modeling for turbulent flows

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 55948707-b03a-4d51-8f6e-8c3ffe82298c · outbound

This paper cites Finegan, Eric Darcy, Matthew Keyser, Bernhard Tjaden, Thomas M.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finegan, Eric Darcy, Matthew Keyser, Bernhard Tjaden, Thomas M

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:01.418593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 93adfc90-a364-4a6d-aae4-4f8fa22e5166 · outbound

This paper cites Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen

Reference 32

Resolution
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local_arxiv, observed 2026-08-05T22:33:53.046777Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c10bd87e-6ca6-4f52-9d8f-3ad3e563da5f · outbound

This paper cites Deep Learning.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Deep Learning

Reference 33

Resolution
unresolved
no resolver link, observed 2026-08-05T22:33:49.286197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:33:49.286197Z digest=sha256:793c11cb41bfd7727161ae62e492005d3d0eb9b4daa33c412ef741f704ce1339

Observation 569ea6ec-b8fd-4ad1-a88a-2eaae38d04fb · outbound

This paper cites Physics-informed deep neural operator networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Physics-informed deep neural operator networks

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:01.033982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 77a5c7a5-29cc-41ef-8b2b-92334dc65201 · outbound

This paper cites Hamiltonian neural networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Hamiltonian neural networks

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:00.792338Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:49.597299Z digest=sha256:07b93258236bf38e158de5a2106d22b412b2a3afdf1f909ec9471ea425a4b33d

Observation eb838199-2899-4831-9921-f94b5294310e · outbound

This paper cites Efficiently Parameterized Neural Metriplectic Systems.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Efficiently Parameterized Neural Metriplectic Systems

Reference 36

Resolution
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no resolver link, observed 2026-08-05T22:33:49.771814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:33:49.771814Z digest=sha256:2015a6e64a206599c3e1c25b399461bc8156a3a2971aee37716a1a501858a1dd

Observation 4b2e1e5b-2a84-49e9-b284-471fb385a45d · outbound

This paper cites Reversible and irreversible bracket-based dynamics for deep graph neural networks.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Reversible and irreversible bracket-based dynamics for deep graph neural networks

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:34:00.513401Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:49.905120Z digest=sha256:2eaa571057a4aba3e165ff54f7aeb16d0b9e6fc9a3135cbd95a0c25636989f99

Observation d75150c0-15e8-467b-a491-91553d085ed0 · outbound

This paper cites Shampoo: Preconditioned stochastic tensor optimization.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Shampoo: Preconditioned stochastic tensor optimization

Reference 38

Resolution
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raw_fallback, observed 2026-08-05T22:34:00.222340Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.057237Z digest=sha256:411e627860a3e4a35df130dbb0a75e94d3d7c8712b9acbbd0f6bc5c82a61d1e5

Observation 91e2c411-3907-406c-8a1f-c5b84ddfbcfa · outbound

This paper cites Time dependent problems and difference methods, volume 24.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Time dependent problems and difference methods, volume 24

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:59.969310Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.221671Z digest=sha256:01f1b3ce11d2eb6d60501290380bb9ef1b425ef23771d849b9399a3b857f7b25

Observation 9e1afab4-26f5-40ce-b5fd-744549f7d357 · outbound

This paper cites scikit-fem: A python package for finite element assembly.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms scikit-fem: A python package for finite element assembly

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:59.730990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.311737Z digest=sha256:bffb27fec07c8dfda55059befea6e299f3f92c60a8329f691b1d0f6997306d2c

Observation e27df431-0255-450c-b3d7-3dbed221595a · outbound

This paper cites Local analysis of discontinuous galerkin methods applied to singularly perturbed problems.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Local analysis of discontinuous galerkin methods applied to singularly perturbed problems

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:59.390166Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.437671Z digest=sha256:c9567d4611833b7c32f97f98ff13ec97a0ee2b187e1fb3109792406dd6a70ce0

Observation 43cbf9d5-545a-4dfa-9e00-013dfc8ae3b0 · outbound

This paper cites Optimization with PDE constraints, volume 23.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Optimization with PDE constraints, volume 23

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:59.137240Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.560318Z digest=sha256:ecb12f5e6b5b02adaf4d537f4e6ef2d5c94a1516b06271fa084aeab8989c9faa

Observation 2d6f4a16-000f-483a-a22f-4dc35d90df51 · outbound

This paper cites Matrix analysis.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Matrix analysis

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T22:33:50.685504Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:33:50.685504Z digest=sha256:42b86f4db34e149a3cbb966d73e7e3bf8489903fa0240497599af8c58688cc83

Observation b915509f-670d-471e-a91f-9022ba99ef72 · outbound

This paper cites Discontinuous hp-finite element methods for advection–diffusion–reaction problems.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Discontinuous hp-finite element methods for advection–diffusion–reaction problems

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:58.848663Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.807765Z digest=sha256:26f2d45fa57ce79024c1552a8b4b67d6a26c9d9ddc727087c558cfd335d4cc13

Observation f4f6ff38-1a62-47d4-84ec-7803c4565bbe · outbound

This paper cites Topology-preserving deep image segmentation.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Topology-preserving deep image segmentation

Reference 45

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:58.511126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:50.903723Z digest=sha256:d297804c71f3c0b573f313766ce51e21f3a98d7eb1ae3dd5b36efa312f8448b9

Observation 8ec9201c-c9fb-4638-a8f6-bcc9de620364 · outbound

This paper cites Incropera, David P.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Incropera, David P

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:58.157248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.016937Z digest=sha256:5d721df7d9c885feb1f2698fe127e7b9f15ef4c6f4646cbacb495771df51aed0

Observation ee88b84a-a7f4-4ea1-9217-591dc5e2a9b2 · outbound

This paper cites A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T22:33:51.155916Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T22:33:51.155916Z digest=sha256:f3260768cb6fbbdac96a8fb4d2eb51cce64eb05a7025fc875d7c6b7e891b69cd

Observation 9ff48eba-3e28-4f20-9e49-9a30be3c047e · outbound

This paper cites Knezevic, and Karen E.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Knezevic, and Karen E

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:57.835533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.259275Z digest=sha256:eb2c4b645a61549f5f08a69b669d6deb26da273fe3ebe25cb779ba47fa80af6a

Observation 54ca7a39-2668-41bb-8ab1-6b3fc8c8f99b · outbound

This paper cites Kapteyn, Jacob V.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Kapteyn, Jacob V

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:57.588668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.330421Z digest=sha256:a4bfe7b728bd24970cbf2c4bc2712881a212a74e826e9ec6b026ddd23a6c5183

Observation f8c8967f-daa4-4dda-9fff-1917590442a0 · outbound

This paper cites Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Deep neural operator-driven real-time inference to enable digital twin solutions for nuclear energy systems

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:57.220521Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.434246Z digest=sha256:4e2b29a142f341d5cef17fecdbf0a5cfb2bee78c331020b13aaf1de2e5cf7f97

Observation 0aa21be0-3e61-48cc-9433-9168fe4eb351 · outbound

This paper cites Neural operator: learning maps between function spaces.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Neural operator: learning maps between function spaces

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:56.843022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.540209Z digest=sha256:52852d76e46ea17d30d60955e4d0855f37127c69553231c2eb68e62b28e95381

Observation 8e367114-c001-44ce-a6f8-51c70468da3e · outbound

This paper cites Flux-corrected transport: principles, algo- rithms, and applications.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Flux-corrected transport: principles, algo- rithms, and applications

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:56.456091Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.642297Z digest=sha256:521245b54e62dad02e280763e7d82cd72205d25f4780a304922ee0e536d44feb

Observation eeecbf50-5abd-45ea-be68-2ecbf5d8f4b8 · outbound

This paper cites Gradient-based learning applied to document recognition.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Gradient-based learning applied to document recognition

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:56.118279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.711775Z digest=sha256:910b7b4a8e4b464672b1a7ebc575f870eb60cfaf6bf21e43d4716f8cee0e28bd

Observation e84f7e8b-d132-4c48-8470-2c2d6c72ae72 · outbound

This paper cites Fourier neural operator for parametric partial differential equations.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Fourier neural operator for parametric partial differential equations

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:55.806027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.755733Z digest=sha256:3332449fd1c86b68e75cebd1fdd8bb194abae4d8d14fa6d8220baf9b657c4590

Observation 31d5b13f-88be-4431-a5e0-9a275f036255 · outbound

This paper cites Jones, and Jeremy Templeton.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Jones, and Jeremy Templeton

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:55.414600Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.841679Z digest=sha256:214bcecc87e98815d641be6653092b5170fc7710b71140c38a7d17da57b0e914

Observation 71095beb-3dc8-45b8-9c91-0e173c2586fd · outbound

This paper cites Rajanna, Edward W.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Rajanna, Edward W

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:55.121286Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:51.948914Z digest=sha256:b61df6a115a90038c25caf1e99d6ccf67fbbe9a7a261215c62b028f21435d05c

Observation adaa3424-bfc0-483a-a8dd-d7396c7b2f6d · outbound

This paper cites Livescu and J.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Livescu and J

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:54.835499Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:52.073476Z digest=sha256:52ee12c90da03821efd4dbb81a455eb69ba80eaae8f117d9fff7b7fb3774f666

Observation a6b21840-dff6-48c2-b980-82b5ed0cb5b1 · outbound

This paper cites Learning non- linear operators via deeponet based on the universal approximation theorem of operators.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Learning non- linear operators via deeponet based on the universal approximation theorem of operators

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:54.640439Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:52.235680Z digest=sha256:4c10e90eacf823033d410411702fe13ff4439b565eb8daa63575363625b0780a

Observation c760e210-0d71-4acb-ace3-f20cd028355a · outbound

This paper cites Kurzawski, and John C.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Kurzawski, and John C

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T22:33:54.392261Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:52.360886Z digest=sha256:11c75af87ac9bd5c3ab3ef44020cd0a92906e92c15088a60eb52eb8984df07bc

Observation 017edac7-ae34-46c2-a1e8-1191d5e725ee · outbound

This paper cites an unresolved cited work.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:33:54.159458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:52.555584Z digest=sha256:07e81e4661d13c7d34cfd09a6bd2b8932f991ec5d16c3604a861291dad9b88be

Observation 64bca772-5554-4c82-95de-bd76ccda6dc1 · outbound

This paper cites an unresolved cited work.

Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-05T22:33:53.890062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T22:33:52.685885Z digest=sha256:924062be4d677f0a2c2288d68ee10c7a2a67d26b7a6b704ebfcb1664764527dc

Pith citing papers

Observation 4a6b4a3b-87bd-482e-a1fd-602ba41b843d · inbound

Physics-informed sensor coverage through structure preserving machine learning cites this paper.

Physics-informed sensor coverage through structure preserving machine learning Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T17:58:16.738129Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:58:16.738129Z digest=sha256:e0ab574df521657ad84bab998677fcb967fd94ccb76b9bbd1c652c8b089328bb

Observation 46804d2c-8c1c-4748-8994-a3a36d150063 · inbound

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

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 2020

Resolution
unresolved
no resolver link, observed 2026-08-03T05:22:11.878250Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:22:11.878250Z digest=sha256:ba53723468438d48eccf42a25838796875d1d28240e401d77f54888f8501e2f7

Observation 266a17ab-dfdc-428c-aa61-7047a5addd79 · inbound

A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting cites this paper.

A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 39

Resolution
metadata mismatch
arxiv_id, observed 2026-05-10T00:14:46.551391Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-10T00:12:58.131638Z digest=sha256:b65b5940d7fd31052ba92212f73a01bd4570f2767c3b2e45d7e0e8de5c9ca963

Observation 55904fb5-48f1-46af-8cda-db3a2f5bc7de · inbound

A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds cites this paper.

A meshfree exterior calculus for generalizable and data-efficient learning of physics from point clouds Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:11:15.864389Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:09:01.875110Z digest=sha256:55012224b06f938c4c1f39205cafefa86e781348f293e325b786314da8f91dac

Observation 26d7edd4-2cc9-4cb0-89b3-6246f52769d1 · inbound

Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs cites this paper.

Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 64

Resolution
verified exact
arxiv_id, observed 2026-07-01T20:46:13.285535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T18:07:00.768539Z digest=sha256:bbbfdd8f4726ba630234a92a1e3b90f33224c063edbcf74fba16a1b26f6da806

Observation cd21a404-ce7e-42dc-a99d-a87ffd7336d8 · inbound

Neural Navigation Functions for Zero-Shot Generalizable Motion Planning cites this paper.

Neural Navigation Functions for Zero-Shot Generalizable Motion Planning Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 42

Resolution
verified exact
arxiv_id, observed 2026-07-02T03:46:32.365588Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-28T09:44:54.897829Z digest=sha256:07af859b75a93f29f74b2ffe848cb510624077b8223d45db264c995475debd22

Observation 91f1f96a-a4ed-44e3-abb3-094094260e45 · inbound

Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification cites this paper.

Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification Structure-Preserving Digital Twins via Conditional Neural Whitney Forms

Reference 8

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T08:07:45.405133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-06-27T11:04:21.236127Z digest=sha256:6f546b3e30f0cd2e855fabada22844d5085303677870ccc11b73a7cda961b679