Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-04T17:56:57.500651Z
Paper Citation Record · LEDGER
As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 0 inbound Pith citation observations for arXiv:2608.01945.
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 2026-08-04T17:56:57.500651Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
48 of 48 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation d295e28b-ad76-4606-b9f1-ccdf4e5d43fc · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Assessment of Thermoplastic Composite Joining by Resis- tance, Induction, and Ultrasonic Welding - NASA Technical Reports Server (NTRS),
Reference 1
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Observation cd0b7bc6-0941-4e41-97c0-a1297f621cb5 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Current status of carbon fibre and carbon fibre composites recycling,
Reference 2
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Observation 2006ecf3-70e1-418f-8b9c-c422b9a3de40 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity A Study On development of Induction Welding of Thermoplastic Composites,
Reference 3
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Observation d918c6fa-8daa-4b99-a9e4-477c839c00c1 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Assembling of Carbon Fi- bre/PEEK Composites: Comparison of Ultrasonic, Induction, and Transmission Laser Welding,
Reference 4
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Observation e61e70d9-02c5-4c98-8790-bde8e93a686c · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Fusion Bonding/Welding of Thermoplastic Com- posites,
Reference 5
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Reference 6
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Observation fa7b1e04-aec3-4287-932e-d49cf22a11e8 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Simulating the in- duction heating of cross-ply C/PEKK laminates – sensitivity and effect of material vari- ability,
Reference 7
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Observation 399f6bc6-dc35-42ac-92d7-9ab21b781629 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Characterisation of Or- thotropic Electrical Conductivity of Unidirectional C/PAEK Thermoplastic Composites,
Reference 8
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Observation 3084ddb3-68bb-41ac-aac7-adb642c8dfc3 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Stochastic Model and Generator for Random Fields with Symmetry Properties: Application to the Mesoscopic Modeling of Elastic Random Media,
Reference 9
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Observation 1dab577d-5461-42e7-8e3d-3279b4dcb513 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Stochastic modelling of symmetric positive definite material tensors,
Reference 10
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Observation 63c9cd74-80b2-45ed-b6fd-64e71df73ce8 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Modeling variability of the electrical conduc- tivity tensor for the induction welding of composites,
Reference 11
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Observation 91da44da-a629-4626-ad01-daf830fcb10f · outbound
Reference 12
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Observation b18d955c-8bc0-4161-9475-86a238afc3ca · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Surrogate models for uncertainty quantification: An overview,
Reference 13
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Observation 1f0cebaf-c0f1-4f5f-96e2-bc1b2c8cc123 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity A review of uncertainty quantifi- cation in deep learning: Techniques, applications and challenges,
Reference 14
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Observation 140f61f8-6ee8-456d-9819-cf6b1296db2c · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Deep UQ: Learning deep neural network surrogate models for high dimensional uncertainty quantification,
Reference 15
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Observation 3ffa17ce-7354-46d0-8588-18f90f9b13a6 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity A Riemannian Framework for Tensor Computing,
Reference 16
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Observation f3c91d23-ff24-45b4-9ec2-2396a728af99 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity A Riemannian Network for SPD Matrix Learning,
Reference 17
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Observation 0304a2be-669a-4690-bd2b-2bf4bc557bbd · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Riemannian batch normal- ization for SPD neural networks,
Reference 18
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Observation 80b8154a-7366-42e3-bec0-b447c73cc858 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Constitutive manifold neural networks,
Reference 19
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Observation 959fe96d-69a4-406e-af91-7a0752b8e9d9 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Neural Ordinary Differential Equations,
Reference 20
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Observation 33dfbac7-89ae-4057-89ac-97dec43c645e · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity DeepResidualLearningforImageRecognition,
Reference 21
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Observation 41a0b650-1403-4cd1-9c16-a8cbec0d8432 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity A review of joining techniques for thermoplastic composite materials,
Reference 22
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity In-Situ Monitoring and Control of Induction Welding in Thermoplastic Composites Using High Definition Fiber Optic Sensors,
Reference 23
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Observation 7ecbf48f-8ea9-420a-bb70-e0ff2f9c1c5e · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Heating mechanisms in induction welding of thermoplastic composites,
Reference 24
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Unresolved cited work
Reference 25
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Zangwill,Modern Electrodynamics
Reference 26
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Unresolved cited work
Reference 27
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Unresolved cited work
Reference 28
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Observation fe371087-f1b6-4202-b9c0-6f491da8a927 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Bathe,Finite Element Procedures
Reference 29
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Observation 0eba7048-60e6-4c2e-b54d-974b291d9991 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity COMSOL Multiphsyics®v. 6.2
Reference 30
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Observation f1cacab7-a104-41e9-bff6-2820dc718e25 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity On the use of the magnetic vector potential in the finite-element analysis of three-dimensional eddy currents,
Reference 31
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Observation a3aff227-075a-48dd-8819-86fe9704dacc · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity GMRES: A Generalized Minimal Residual Algorithm for Solving Nonsymmetric Linear Systems,
Reference 32
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Observation 3ccdb45e-90d4-4fab-8cd1-e0532ab8540c · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Block-implicit multigrid solution of Navier-Stokes equations in primitive variables,
Reference 33
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Observation a0d659a4-ea4d-4af3-b623-f2dd7a1d5122 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Hairer and G
Reference 34
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Observation 16fae674-0821-47cb-aedf-974850c232e8 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Scientific Computation, Dordrecht: Springer Netherlands, 2010
Reference 35
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Observation 57dabbd7-56c9-4de8-9123-96a044db59d0 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Solving unsymmetric sparse systems of linear equations with PAR- DISO,
Reference 36
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Observation 909e903f-3c57-4453-9ed4-c0b82372598b · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Continuous-in-Depth Neural Networks
Reference 37
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Observation 656c9aa7-79d0-4d0f-a3a7-2dc4d2938fed · outbound
Reference 38
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Observation d070ee3a-3989-4e2a-a824-42c4e17964e0 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Unresolved cited work
Reference 39
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Observation a3fc1086-c7b5-450b-9013-892a9c9ef4b3 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Geometries and Interpolations for Symmetric Positive Definite Matrices,
Reference 40
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Multiphysics simulations: Challenges and opportunities,
Reference 41
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Observation d370de51-b8a3-4315-8fe7-203a676a9635 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Characterising microstructural organisation in unidirectional composites,
Reference 42
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A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Optuna: A Next-generation Hyperparam- eter Optimization Framework,
Reference 43
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Observation 618ca732-20a8-4a51-91a7-21f6e414d4a1 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Sigmoid-weighted linear units for neural network function approximation in reinforcement learning,
Reference 44
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Observation 09cf2ad4-8630-45f7-88f2-08ae7048fddb · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Auto-Encoding Variational Bayes,
Reference 45
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Observation aea49c8e-bd02-4cee-b9da-c6d09eb5d371 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Stiff Neural Ordinary Differential Equations
Reference 46
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Observation 233f48f0-2bc7-4d2e-ac1b-f75ad142d6e3 · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Learning Stable Deep Dynamics Models,
Reference 47
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Observation ec623a7b-c517-4530-a002-2002466901eb · outbound
A manifold-aware Neural ODE surrogate model for stochastic induction heating with anisotropic electrical conductivity Enlighten Project
Reference 48
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No inbound Pith citation observations are available.