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Paper Citation Record · LEDGER

A Graph Neural Network approach to zero-shot Digital Twins

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.

pith.paper-citation-record.v1
2607.20535 v1

Coverage vector

measured 43 of 43 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-02T07:36:04.939606Z

measured 43 of 43 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00

measured 0 of 0 inbound itemization

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measured 0 of 1 external citation measurements

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43 of 43 outbound references displayed

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Outbound references

Observation 41135d34-d1cf-45b9-ae4d-5a91537fb327 · outbound

This paper cites Tolle, Stewart Tansley, and Tony Hey.

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

This paper cites Academic press, 2019.

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

This paper cites Bronstein, Joan Bruna, Taco Cohen, and Petar Veliˇckovi´c.

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

This paper cites Battaglia, Jessica B.

A Graph Neural Network approach to zero-shot Digital Twins Battaglia, Jessica B

Reference 4

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Observation 292e4a77-c901-4dda-ab38-e342350322a5 · outbound

This paper cites Graph neural networks informed locally by thermodynamics.Engineering Applications of Artificial Intelligence, 144:110108, 2025.

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

This paper cites Dynamics and thermodynamics of complex fluids.

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

This paper cites Learning to simulate complex physics with graph networks.

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

This paper cites Battaglia.

A Graph Neural Network approach to zero-shot Digital Twins Battaglia

Reference 8

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Observation 6b93cf2e-5e2d-41f7-96cb-befed0027548 · outbound

This paper cites an unresolved cited work.

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

This paper cites Integrating scientific knowledge with machine learning for engineering and environmental systems, 2022.

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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Observation a080dfc7-cf36-43df-afdc-ae2a795353fe · outbound

This paper cites Physics- informed machine learning.Nature Reviews Physics, 3(6):422–440, 2021.

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

This paper cites Raissi, P.

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

This paper cites Hamiltonian neural networks.Advances in neural information processing systems, 32, 2019.

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

This paper cites Discovering symbolic models from deep learning with inductive biases.Advances in neural information processing systems, 33:17429–17442, 2020.

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

This paper cites Morrison.

A Graph Neural Network approach to zero-shot Digital Twins Morrison

Reference 15

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Observation 8fba5e0c-30a7-4b3a-9934-8d91b27d067e · outbound

This paper cites Structure-preserving neural networks.Journal of Computational Physics, 426:109950, 2021.

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

This paper cites Thermodynamics-informed graph neural networks.

A Graph Neural Network approach to zero-shot Digital Twins Thermodynamics-informed graph neural networks

Reference 17

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Observation 9e2a84f5-8e33-40df-9773-52b47dab254c · outbound

This paper cites Scaling description of generalization with number of parameters in deep learning.Journal of Statistical Mechanics: Theory and Experiment, 2020(2):023401, feb 2020.

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

This paper cites Port-metriplectic neural networks: thermodynamics-informed machine learning of complex physical systems.Computational Mechanics, 72(3):553– 561, 2023.

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

This paper cites The graph neural network model.IEEE transactions on neural networks / a publication of the IEEE Neural Networks Council, 20:61–80, 01 2009.

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

This paper cites Schoenholz, Patrick F.

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

This paper cites Iparraguirre, Iciar Alfaro, David Gonzalez, Francisco Chinesta, and Elias Cueto.

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

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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

This paper cites Toward predictive digital twins via component-based reduced-order models and interpretable machine learning.

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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Observation a55c6b52-81bf-422c-b4a6-23a59735fb23 · outbound

This paper cites Digital twins that learn and correct themselves.International Journal for Numerical Methods in Engineering, 123(13):3034–3044, 2022.

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

This paper cites Virtual, digital and hybrid twins: A new paradigm in data-based engineering and engineered data: F.

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

This paper cites Cognitive digital twin: An approach to improve the maintenance management.CIRP Journal of Manufacturing Science and Technology, 38:613–630, 2022.

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

This paper cites Zero-shot learning - the good, the bad and the ugly.

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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Observation b7c4d775-16e7-4bc8-839b-ca20d7096e6a · outbound

This paper cites 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.

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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Observation ea553859-d797-444a-a52f-bcf5b8b607ea · outbound

This paper cites Virtual, digital and hybrid twins: a new paradigm in data-based engineering and engineered data.

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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Observation b363cab6-104b-4d80-8f28-2bc98781880a · outbound

This paper cites Machine learning with data assimilation and uncertainty quantification for dynamical systems: a review.IEEE/CAA Journal of Automatica Sinica, 10(6):1361–1387, 2023.

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

This paper cites Digital twins that learn and correct themselves.International Journal for Numerical Methods in Engineering, 123(13):3034–3044, 2020.

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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Observation 5c0128e5-ec33-4993-9415-5f16e20dcdcf · outbound

This paper cites A taxonomy of mixed reality visual displays.IEICE TRANSACTIONS on Information and Systems, 77(12):1321–1329, 1994.

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

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Observation 3d7442c5-e22b-4c38-9783-010985ad493c · outbound

This paper cites A review on industrial augmented reality systems for the industry 4.0 shipyard.Ieee Access, 6:13358–13375, 2018.

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

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Observation 0bbca0ca-d7b7-42af-9e65-8814c8198bb3 · outbound

This paper cites Morph-dslam: Model order reduction for physics-based deformable slam.IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(11):7764–7777, 2021.

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

This paper cites U-net: Convolutional networks for biomedical image seg- mentation.

A Graph Neural Network approach to zero-shot Digital Twins U-net: Convolutional networks for biomedical image seg- mentation

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This paper cites Good features to track.

A Graph Neural Network approach to zero-shot Digital Twins Good features to track

Reference 37

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This paper cites An iterative image registration technique with an application to stereo vision.

A Graph Neural Network approach to zero-shot Digital Twins An iterative image registration technique with an application to stereo vision

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Observation c7760af1-c596-4555-9e82-8ea7ef212f1d · outbound

This paper cites Fast poisson disk sampling in arbitrary dimensions.

A Graph Neural Network approach to zero-shot Digital Twins Fast poisson disk sampling in arbitrary dimensions

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Observation ce96e464-aa15-4d0a-9fae-6ad28a58be31 · outbound

This paper cites A thermodynamics-informed active learning approach to perception and reasoning about fluids.Computational Mechanics, 72(3):577–591, 2023.

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

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Observation d144425b-4c00-4a7d-8430-1f1552c607c4 · outbound

This paper cites The initialization of numerical models by a dynamic-initialization technique.

A Graph Neural Network approach to zero-shot Digital Twins The initialization of numerical models by a dynamic-initialization technique

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Observation 97755e89-85cd-44dd-82a8-5993b9b51963 · outbound

This paper cites SIAM, 2016.

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

This paper cites Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023.

A Graph Neural Network approach to zero-shot Digital Twins Learning skillful medium-range global weather forecasting.Science, 382(6677):1416–1421, 2023

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