Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:33:52.685885Z
Paper Citation Record · LEDGER
As of 7 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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:33:52.685885Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T17:58:16.738129Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-03T08:07:45.403730Z
61 of 61 outbound references displayed
External citation measurements
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Observation 9ec4dcc5-624c-470e-a6b1-5491ba620ed6 · outbound
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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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Zico Kolter
Reference 2
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Mfem: A modular finite element methods library
Reference 3
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms A multiscale mortar mixed finite element method
Reference 4
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Minimization of functions having lipschitz continuous first partial derivatives
Reference 5
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finite element exterior calculus
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Compatible spatial discretizations, volume 142
Reference 7
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finite element exterior calculus, homo- logical techniques, and applications
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work
Reference 9
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms E (3)-equivariant graph neural networks for data-efficient and accurate interatomic potentials
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Observation a82a859b-2d2f-439e-9f73-edc1db5574f7 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Roux, Pascal Vincent, Olivier Delalleau, and Patrice Marcotte
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Observation 186bf0fd-b4a2-4139-bfde-c68883d56b4f · outbound
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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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Solving pdes with intrepid
Reference 13
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Observation d4c92b01-6e6a-4d62-9cc2-9730283152fb · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Principles of mimetic discretizations of differential opera- tors
Reference 14
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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
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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
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Observation 17a01274-ce13-4f05-83ac-5ec4bbfd268e · outbound
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
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Recommendations for future efforts in rans modeling and simu- lation
Reference 18
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Observation 8c9a0eba-0ad9-4f2a-8a28-4be6325ea885 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Lowe, and Ruoying He
Reference 19
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Learning Gradients of Convex Functions with Monotone Gradient Networks
Reference 20
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Neural ordinary differential equations
Reference 21
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Observation 367076d5-e06c-4385-9a07-a47480890c4a · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Symplectic Recurrent Neural Networks
Reference 22
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Observation d7ca2750-efba-4e9a-9590-a8d5aa29a7c5 · outbound
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
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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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Observation f889856d-0324-4dec-8038-f4397f5c8c31 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Group equivariant convolutional networks
Reference 25
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Observation 8cf254c3-f6d3-4516-ac74-d070a25f807c · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Lagrangian Neural Networks
Reference 26
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Observation e3201c7a-ad11-47ee-80b9-8e8a2e55bf5d · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Bert: Pre-training of deep bidirectional transformers for language understanding
Reference 27
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Observation a4048a3a-ecde-4872-a40e-cffb41f9b470 · outbound
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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Observation 0db96564-40f2-46aa-a599-96da9c186851 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Turbulence modeling in the age of data
Reference 29
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Observation 0ba58223-b0a2-4fd3-ac4e-941868c663d9 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Statistical theory and modeling for turbulent flows
Reference 30
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Observation 55948707-b03a-4d51-8f6e-8c3ffe82298c · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Finegan, Eric Darcy, Matthew Keyser, Bernhard Tjaden, Thomas M
Reference 31
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Observation 93adfc90-a364-4a6d-aae4-4f8fa22e5166 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Stress representations for tensor basis neural networks: alternative formulations to Finger-Rivlin-Ericksen
Reference 32
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Observation c10bd87e-6ca6-4f52-9d8f-3ad3e563da5f · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Deep Learning
Reference 33
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Observation 569ea6ec-b8fd-4ad1-a88a-2eaae38d04fb · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Physics-informed deep neural operator networks
Reference 34
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Observation 77a5c7a5-29cc-41ef-8b2b-92334dc65201 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Hamiltonian neural networks
Reference 35
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Efficiently Parameterized Neural Metriplectic Systems
Reference 36
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Observation 4b2e1e5b-2a84-49e9-b284-471fb385a45d · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Reversible and irreversible bracket-based dynamics for deep graph neural networks
Reference 37
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Observation d75150c0-15e8-467b-a491-91553d085ed0 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Shampoo: Preconditioned stochastic tensor optimization
Reference 38
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Observation 91e2c411-3907-406c-8a1f-c5b84ddfbcfa · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Time dependent problems and difference methods, volume 24
Reference 39
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Observation 9e1afab4-26f5-40ce-b5fd-744549f7d357 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms scikit-fem: A python package for finite element assembly
Reference 40
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Local analysis of discontinuous galerkin methods applied to singularly perturbed problems
Reference 41
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Optimization with PDE constraints, volume 23
Reference 42
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Matrix analysis
Reference 43
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Observation b915509f-670d-471e-a91f-9022ba99ef72 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Discontinuous hp-finite element methods for advection–diffusion–reaction problems
Reference 44
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Observation f4f6ff38-1a62-47d4-84ec-7803c4565bbe · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Topology-preserving deep image segmentation
Reference 45
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Observation 8ec9201c-c9fb-4638-a8f6-bcc9de620364 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Incropera, David P
Reference 46
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Observation ee88b84a-a7f4-4ea1-9217-591dc5e2a9b2 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms A Structure-Preserving Domain Decomposition Method for Data-Driven Modeling
Reference 47
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Observation 9ff48eba-3e28-4f20-9e49-9a30be3c047e · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Knezevic, and Karen E
Reference 48
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Observation 54ca7a39-2668-41bb-8ab1-6b3fc8c8f99b · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Kapteyn, Jacob V
Reference 49
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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
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Neural operator: learning maps between function spaces
Reference 51
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Flux-corrected transport: principles, algo- rithms, and applications
Reference 52
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Observation eeecbf50-5abd-45ea-be68-2ecbf5d8f4b8 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Gradient-based learning applied to document recognition
Reference 53
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Observation e84f7e8b-d132-4c48-8470-2c2d6c72ae72 · outbound
Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Fourier neural operator for parametric partial differential equations
Reference 54
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Jones, and Jeremy Templeton
Reference 55
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Rajanna, Edward W
Reference 56
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Livescu and J
Reference 57
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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
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Kurzawski, and John C
Reference 59
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work
Reference 60
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Structure-Preserving Digital Twins via Conditional Neural Whitney Forms Unresolved cited work
Reference 61
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Observation 4a6b4a3b-87bd-482e-a1fd-602ba41b843d · inbound
Physics-informed sensor coverage through structure preserving machine learning Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
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A Hybridizable Neural Time Integrator for Stable Autoregressive Forecasting Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Reference 39
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Cellular Sheaf Neural Operators for Structure-Preserving Surrogate Modeling of Constrained PDEs Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Reference 64
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Neural Navigation Functions for Zero-Shot Generalizable Motion Planning Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
Reference 42
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Observation 91f1f96a-a4ed-44e3-abb3-094094260e45 · inbound
Structure-Preserving Neural Surrogates with Tractable Uncertainty Quantification Structure-Preserving Digital Twins via Conditional Neural Whitney Forms
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