Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T13:18:49.247835Z
Paper Citation Record · LEDGER
As of 13 August 2026, this Paper Citation Record lists 34 of 34 outbound references and 1 inbound Pith citation observation for arXiv:2605.24651.
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 2026-08-02T13:18:49.247835Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-31T23:24:58.594046Z
A source-named dated measurement, never combined with another source.
Source: cited_works
34 of 34 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 9351c137-c915-4265-b943-4b5a3c2d0fd7 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Nonlinear solid mechanics: a continuum approach for engineering science,
Reference 1
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Observation 9b833cb3-a8f1-4f9b-83ed-9c91222afd19 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Topics in finite elasticity: hyperelasticity of rubber, elastomers, and biological tissues— with examples,
Reference 2
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Observation c703f3ca-ed34-4acc-8a20-bc0e53e77dbc · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Unresolved cited work
Reference 3
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Observation bb230800-4c69-47f0-8e45-24797688233b · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains An introduction to the finite element method,
Reference 4
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Observation f6998d4d-618c-4ebd-b84b-689096d62c06 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Finite element implementation of incompressible, transversely isotropic hyperelasticity,
Reference 5
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Observation e6e743d1-4984-4a44-ab17-e6259cc75303 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Unresolved cited work
Reference 6
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Observation 4f9baadb-c9b8-41c4-9c63-2844d190a87d · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators
Reference 7
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Observation 5bcf264c-1f6f-4544-8bc2-c00b761b1940 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Learning nonlinear operators via deeponet based on the universal approximation theorem of operators,
Reference 8
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Observation 60b3c61c-4222-4d39-aff8-39334cbef90c · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Fourier Neural Operator for Parametric Partial Differential Equations
Reference 9
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Observation 49e518ca-f11c-4196-9eaa-1e7436355242 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Synergistic learning with multi-task deeponet for efficient pde problem solving,
Reference 10
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Observation b6a89e32-769e-4b50-9173-044e5eb21d66 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Physics-informed neural operator for learning partial differential equations,
Reference 11
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Observation b1204a88-8212-49e8-994c-bb0cd89015cf · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Learning the solution operator of parametric partial dif- ferential equations with physics-informed deeponets,
Reference 12
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Observation 0bb7b2b8-3d45-496a-8d97-bc148d853a1d · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Physics-informed machine learning in biomedical science and engineering,
Reference 13
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Observation 59ac5a04-2b19-45ad-9966-98e3db98efd7 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Variational physics-informed neural operator (vino) for solving partial differential equations,
Reference 14
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Observation a3841fb6-cec8-462f-9a5e-5d40bb3228a6 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Finite Element Operator Network for Solving Elliptic-type parametric PDEs
Reference 15
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Unavailable: canonical work link unavailable.
Observation 700be577-0341-4a69-8688-7458d9ae7123 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains NOWS: Neural Operator Warm Starts for Accelerating Iterative Solvers
Reference 16
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Observation 71a8129e-00dd-4f83-8f37-72b05fdbf805 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Pretrain finite element method: A pretraining and warm-start framework for pdes via physics-informed neural operators,
Reference 17
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Observation 8013ad7e-ad95-4a94-9b48-c98dc0c474a5 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Level set methods: an overview and some recent results,
Reference 18
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Observation 05b6b6c2-599e-4593-a1f9-9c81e76572ae · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Level set methods and dynamic implicit surfaces,
Reference 19
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Observation 3edfaacb-a0c8-4e27-ba96-b4b1a1170159 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains ϕ-fem: a finite element method on domains defined by level-sets,
Reference 20
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Observation 29dccf87-c355-416d-a690-79afe30bcb2e · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains φ-fem, a finite element method on domains defined by level-sets: the neumann boundary case,
Reference 21
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Observation ab97a24e-07b0-4205-a191-d71820473283 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains φ-fem-fno: a new approach to train a neural operator as a fast pde solver for variable geometries,
Reference 22
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Observation b0b46911-2e0c-480f-9e28-7c3530dfd5c6 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Cut finite element methods,
Reference 23
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Observation ccf671a3-4ddb-441c-ac57-132ecca3362f · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Bonet and R
Reference 24
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Observation 04428912-d9a5-4d85-8b58-e14cdab7f35c · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Unresolved cited work
Reference 25
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Observation c9dbedc1-1406-493d-a628-e3d66ebe1fad · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Nitsol: A newton iterative solver for nonlinear systems,
Reference 26
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Observation 4881b6c8-33be-4c0a-98de-e894c8fb444c · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Function minimization by conjugate gradients,
Reference 27
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Observation 38d259ab-c8c0-45df-bbf3-34bc43d9f280 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains A survey of nonlinear conjugate gradient methods,
Reference 28
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Observation 3c4e1f35-b86b-442f-8d0b-08b88224ebd6 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Gmres: A generalized minimal residual algorithm for solving non- symmetric linear systems,
Reference 29
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Observation 55f111c6-6874-46e6-9e01-5a766242e9d0 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Gmres with deflated restarting,
Reference 30
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Observation 449c4789-33f5-41b6-a0bf-15c3e3c90c50 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Petsc users manual,
Reference 31
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Observation 43164431-04dd-4ea4-896b-ac9a950ccb8b · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains SOAP: Improving and Stabilizing Shampoo using Adam
Reference 32
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Observation 28329bea-4c8d-4759-911d-2d62010ea47d · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Gaussian processes in machine learning,
Reference 33
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Observation 7afb3727-262a-43a9-bc04-06900368b020 · outbound
WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains Unresolved cited work
Reference 34
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Observation 30cc3e7f-0429-4373-93f6-e097ab1d0070 · inbound
Data-free neural PDE solvers based on Graph Neural Networks and weak forms WINO: A Weak-Form Physics Informed Neural Operator for Hyperelasticity on Variable Domains
Reference 40
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