Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-02T07:36:04.939606Z
Paper Citation Record · LEDGER
As of 18 August 2026, this Paper Citation Record lists 43 of 43 outbound references and 0 inbound Pith citation observations for arXiv:2607.20535.
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 2026-08-02T07:36:04.939606Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+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
43 of 43 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 41135d34-d1cf-45b9-ae4d-5a91537fb327 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Tolle, Stewart Tansley, and Tony Hey
Reference 1
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Observation 0620920f-f349-408b-b974-16dc5fba1167 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Academic press, 2019
Reference 2
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Observation 44362218-51e7-45af-a479-2ebbc259b2aa · outbound
A Graph Neural Network approach to zero-shot Digital Twins Bronstein, Joan Bruna, Taco Cohen, and Petar Veliˇckovi´c
Reference 3
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Observation 62231788-5006-4ba7-9e4b-1dd20e938aed · outbound
A Graph Neural Network approach to zero-shot Digital Twins Battaglia, Jessica B
Reference 4
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Unavailable: canonical work link unavailable.
Observation 292e4a77-c901-4dda-ab38-e342350322a5 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Graph neural networks informed locally by thermodynamics.Engineering Applications of Artificial Intelligence, 144:110108, 2025
Reference 5
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Observation e55dd485-916a-4047-8eeb-06c04b60f29b · outbound
A Graph Neural Network approach to zero-shot Digital Twins Dynamics and thermodynamics of complex fluids
Reference 6
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Observation b9ddddb7-4d74-44e1-bcee-054d563cb9d1 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Learning to simulate complex physics with graph networks
Reference 7
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Observation 48d18645-911c-40f6-b531-234b5bfab013 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Battaglia
Reference 8
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Observation 6b93cf2e-5e2d-41f7-96cb-befed0027548 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Unresolved cited work
Reference 9
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Observation 6c521f0b-220f-46de-a5b9-9e779c881be2 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Integrating scientific knowledge with machine learning for engineering and environmental systems, 2022
Reference 10
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Unavailable: canonical work link unavailable.
Observation a080dfc7-cf36-43df-afdc-ae2a795353fe · outbound
A Graph Neural Network approach to zero-shot Digital Twins Physics- informed machine learning.Nature Reviews Physics, 3(6):422–440, 2021
Reference 11
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Observation 7b37813f-8ad3-4d94-a047-38d66ebfca08 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Raissi, P
Reference 12
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Observation 5e8b889e-dcfa-4423-be45-877a86e94188 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Hamiltonian neural networks.Advances in neural information processing systems, 32, 2019
Reference 13
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Observation 6e57bbc5-d7c0-4e50-8ba6-ebe5de37267a · outbound
A Graph Neural Network approach to zero-shot Digital Twins Discovering symbolic models from deep learning with inductive biases.Advances in neural information processing systems, 33:17429–17442, 2020
Reference 14
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Observation ab3a6d03-bc51-44cf-8817-75bfb00cdc3d · outbound
A Graph Neural Network approach to zero-shot Digital Twins Morrison
Reference 15
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Observation 8fba5e0c-30a7-4b3a-9934-8d91b27d067e · outbound
A Graph Neural Network approach to zero-shot Digital Twins Structure-preserving neural networks.Journal of Computational Physics, 426:109950, 2021
Reference 16
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Observation 2a4ccdec-b6f8-4b34-9509-8f95f3d02ea0 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Thermodynamics-informed graph neural networks
Reference 17
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Unavailable: canonical work link unavailable.
Observation 9e2a84f5-8e33-40df-9773-52b47dab254c · outbound
A Graph Neural Network approach to zero-shot Digital Twins Scaling description of generalization with number of parameters in deep learning.Journal of Statistical Mechanics: Theory and Experiment, 2020(2):023401, feb 2020
Reference 18
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Observation 190a1d6e-0370-49ac-b329-1a91bbf5eb50 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.Computational Mechanics, 72(3):553– 561, 2023
Reference 19
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Observation 90797611-9757-4ac9-9476-28a7e586d33f · outbound
A Graph Neural Network approach to zero-shot Digital Twins The graph neural network model.IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, 20:61–80, 01 2009
Reference 20
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Observation af4ca588-197f-4713-a773-7ad67d56d132 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Schoenholz, Patrick F
Reference 21
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Observation 3ccd2cd2-a5a6-49d1-b22b-c478a9a164f5 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Iparraguirre, Iciar Alfaro, David Gonzalez, Francisco Chinesta, and Elias Cueto
Reference 22
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Observation 56e102a8-0f8a-4689-ab72-add44c2050b7 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Unresolved cited work
Reference 23
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Observation b53e5281-4808-452b-86d9-02988f476e80 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Toward predictive digital twins via component-based reduced-order models and interpretable machine learning
Reference 24
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Unavailable: canonical work link unavailable.
Observation a55c6b52-81bf-422c-b4a6-23a59735fb23 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Digital twins that learn and correct themselves.International Journal for Numerical Methods in Engineering, 123(13):3034–3044, 2022
Reference 25
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Observation b41c77a6-9430-44b2-9c50-9b3e5180c300 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Virtual, digital and hybrid twins: A new paradigm in data-based engineering and engineered data: F
Reference 26
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Observation aaa15d8f-97d8-4c63-9984-11b5cd2db8cc · outbound
A Graph Neural Network approach to zero-shot Digital Twins Cognitive digital twin: An approach to improve the maintenance management.CIRP Journal of Manufacturing Science and Technology, 38:613–630, 2022
Reference 27
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Observation ff883895-9f06-4e3c-a484-6acdfbb1cb47 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Zero-shot learning - the good, the bad and the ugly
Reference 28
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Unavailable: canonical work link unavailable.
Observation b7c4d775-16e7-4bc8-839b-ca20d7096e6a · outbound
A Graph Neural Network approach to zero-shot Digital Twins Digital twin (dt)-cyclegan: Enabling zero-shot sim-to-real transfer of visual grasping models.IEEE Robotics and Automation Letters, 8(5):2421–2428, 2023
Reference 29
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Unavailable: canonical work link unavailable.
Observation ea553859-d797-444a-a52f-bcf5b8b607ea · outbound
A Graph Neural Network approach to zero-shot Digital Twins Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data
Reference 30
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Unavailable: canonical work link unavailable.
Observation b363cab6-104b-4d80-8f28-2bc98781880a · outbound
A Graph Neural Network approach to zero-shot Digital Twins Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review.IEEE/CAA Journal of Automatica Sinica, 10(6):1361–1387, 2023
Reference 31
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Observation 04dabcf5-f50a-4e34-92bf-1be7b27e1218 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Digital twins that learn and correct themselves.International Journal for Numerical Methods in Engineering, 123(13):3034–3044, 2020
Reference 32
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Unavailable: canonical work link unavailable.
Observation 5c0128e5-ec33-4993-9415-5f16e20dcdcf · outbound
A Graph Neural Network approach to zero-shot Digital Twins A taxonomy of mixed reality visual displays.IEICE TRANSACTIONS on Information and Systems, 77(12):1321–1329, 1994
Reference 33
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Observation 3d7442c5-e22b-4c38-9783-010985ad493c · outbound
A Graph Neural Network approach to zero-shot Digital Twins A review on industrial augmented reality systems for the industry 4.0 shipyard.Ieee Access, 6:13358–13375, 2018
Reference 34
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Observation 0bbca0ca-d7b7-42af-9e65-8814c8198bb3 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Morph-dslam: Model order reduction for physics-based deformable slam.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):7764–7777, 2021
Reference 35
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Observation 3f183d2e-7ce9-4996-a7c0-c6e66dd80881 · outbound
A Graph Neural Network approach to zero-shot Digital Twins U-net: Convolutional networks for biomedical image seg- mentation
Reference 36
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Observation 045551d5-c712-45f9-9ef1-8b857002b863 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Good features to track
Reference 37
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Observation c5ad5c2a-d705-4682-b195-aa5e4ccfa586 · outbound
A Graph Neural Network approach to zero-shot Digital Twins An iterative image registration technique with an application to stereo vision
Reference 38
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Observation c7760af1-c596-4555-9e82-8ea7ef212f1d · outbound
A Graph Neural Network approach to zero-shot Digital Twins Fast poisson disk sampling in arbitrary dimensions
Reference 39
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Observation ce96e464-aa15-4d0a-9fae-6ad28a58be31 · outbound
A Graph Neural Network approach to zero-shot Digital Twins A thermodynamics-informed active learning approach to perception and reasoning about fluids.Computational Mechanics, 72(3):577–591, 2023
Reference 40
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Observation d144425b-4c00-4a7d-8430-1f1552c607c4 · outbound
A Graph Neural Network approach to zero-shot Digital Twins The initialization of numerical models by a dynamic-initialization technique
Reference 41
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Observation 97755e89-85cd-44dd-82a8-5993b9b51963 · outbound
A Graph Neural Network approach to zero-shot Digital Twins SIAM, 2016
Reference 42
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Observation ab2c7659-208e-4c00-9ed6-6ef9dbc1e203 · outbound
A Graph Neural Network approach to zero-shot Digital Twins Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023
Reference 43
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No inbound Pith citation observations are available.