Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:34:17.097508Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T14:34:17.097508Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+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
55 of 55 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation 258c831e-42b2-4558-b289-bea369c16189 · outbound
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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Reference 2
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Observation 095a3046-b6bc-448f-93b7-7627c17561be · outbound
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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Observation 440b1c73-f7cc-40ae-b420-889b6b964320 · outbound
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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Observation 93c11d3d-d39d-4a5c-9510-cfe5e298d81b · outbound
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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Reference 6
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Observation 8e136459-3981-4655-b753-24aa89cf68e9 · outbound
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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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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Observation 4d5f6735-dbcb-4e6b-b631-4e13631edce3 · outbound
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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Reference 15
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Reference 16
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Observation 47820a07-2f1b-4dba-aac5-d2493f3cd474 · outbound
Reference 17
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Observation 3e824b91-e587-4f18-86c1-e915c9aec739 · outbound
Reference 18
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Observation e83df12b-f858-4de0-9766-099af0ffad69 · outbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work
Reference 19
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Observation 7f3beefe-9198-4e66-8cd5-71cb16de1a59 · outbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work
Reference 20
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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
Reference 22
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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 23
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Observation 6dcc3019-e58f-4b15-bbef-c52c83487538 · outbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work
Reference 24
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Observation de8efe72-be39-4c20-9c68-c9fdb1e9dde0 · outbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work
Reference 25
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Reference 26
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Observation ba045c44-a170-455d-a86d-5ef4a2d91f8c · outbound
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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Reference 28
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Observation ad78166b-7a01-4385-b1d0-a1501959464d · outbound
A hybrid global local computational framework for ship hull structural analysis using homogenized model and graph neural network Unresolved cited work
Reference 29
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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 30
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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 31
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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
Reference 33
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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 35
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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 36
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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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Observation 13a11612-a503-4b59-8684-73a8609f733c · outbound
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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Reference 39
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Reference 40
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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 41
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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 43
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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 44
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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 45
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Reference 46
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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 47
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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 48
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Reference 49
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Observation e9a6f519-12a4-4042-aa8a-9f8e51e574d9 · outbound
Reference 50
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Observation 896a4237-0e98-4b18-93d5-ba11af1e8282 · outbound
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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Reference 52
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Observation 71734bcf-6e46-4c5f-96d6-79ef865657dc · outbound
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
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
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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No inbound Pith citation observations are available.