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Paper Citation Record · LEDGER

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network

As of 17 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2512.20020.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2512.20020 v1

Coverage vector

measured 55 of 55 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-03T14:34:17.097508Z

measured 55 of 55 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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Outbound references

Observation 258c831e-42b2-4558-b289-bea369c16189 · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 1

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Observation 2ce893bf-12b3-49f9-b373-ceb6620dd594 · outbound

This paper cites Jelovica, Y.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Jelovica, Y

Reference 2

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 3

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This paper cites Sánchez-Palencia, Non-homogeneous media and vibration theory, Lecture Note in Physics, Springer-Verlag 320 (1980) 57–65.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Sánchez-Palencia, Non-homogeneous media and vibration theory, Lecture Note in Physics, Springer-Verlag 320 (1980) 57–65

Reference 4

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 5

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Observation dac25b32-7d87-4c4d-8acf-49e00ce78191 · outbound

This paper cites Yukio, S.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Yukio, S

Reference 6

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 7

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Observation 70f63121-7672-488a-8145-c79dcf83d29c · outbound

This paper cites IACS, Common structural rules for bulk carriers and oil tankers, International Association of Classification Societies (2014).

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network IACS, Common structural rules for bulk carriers and oil tankers, International Association of Classification Societies (2014)

Reference 8

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 9

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 10

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 11

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 12

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 13

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 14

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Putranto, M

Reference 15

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Putranto, M

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This paper cites Kõrgesaar, T.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Kõrgesaar, T

Reference 17

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Putranto, M

Reference 18

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Samanta, P

Reference 21

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Hornik, M

Reference 26

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Papadrakakis, N

Reference 27

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Bisagni, L

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Mokhtari, Y

Reference 32

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Gilmer, S

Reference 34

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Learning Mesh-Based Simulation with Graph Networks

Reference 37

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network A Finite Element-Inspired Hypergraph Neural Network: Application to Fluid Dynamics Simulations

Reference 38

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Zheng, L

Reference 39

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A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Chou, W.-T

Reference 40

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 41

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Observation 479e8c59-bbd7-4a07-940d-93e22e30a702 · outbound

This paper cites Jiang, Y.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Jiang, Y

Reference 42

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Observation cba0ed85-48fc-4d0f-9f94-825bbba6c507 · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 43

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 44

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 45

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Observation 5be0609b-2173-4174-9840-ff6bc876bb6d · outbound

This paper cites Zhang, M.-X.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Zhang, M.-X

Reference 46

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Observation 0a5a65ee-8688-44f5-957a-3c91fccf887d · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 47

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This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 48

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Observation c7ff2c96-94eb-4b5d-ac8b-2eb5e2474821 · outbound

This paper cites Zhang, M.-x.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Zhang, M.-x

Reference 49

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This paper cites Raissi, P.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Raissi, P

Reference 50

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Observation 896a4237-0e98-4b18-93d5-ba11af1e8282 · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 51

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Observation 9a48b1c3-d7df-4466-9d72-4da5536feba2 · outbound

This paper cites Parisi, S.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Parisi, S

Reference 52

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Observation 71734bcf-6e46-4c5f-96d6-79ef865657dc · outbound

This paper cites Metsala, Geometrically nonlinear bending response of steel sandwich box girder using equivalent single layer theory, Master’s thesis, Aalto University, School of Engineering (2016).

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Metsala, Geometrically nonlinear bending response of steel sandwich box girder using equivalent single layer theory, Master’s thesis, Aalto University, School of Engineering (2016)

Reference 53

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Observation 264120f4-1459-40b2-a6c2-5a1d82c2176d · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 54

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Observation 56f4ffd0-cac4-4cb6-920c-5959e77c2e8f · outbound

This paper cites an unresolved cited work.

A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work

Reference 55

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Pith citing papers

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