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Paper Citation Record · LEDGER

Geometry-Informed Neural Operator for Large-Scale 3D PDEs

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 17 inbound Pith citation observations for arXiv:2309.00583.

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

pith.paper-citation-record.v1
2309.00583 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 17 of 17 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 17 of 17 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:18:11.277928Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

31
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation f5c00959-7148-45d5-bdf6-ca9e719cf03d · inbound

Transolver: A Fast Transformer Solver for PDEs on General Geometries cites this paper.

Transolver: A Fast Transformer Solver for PDEs on General Geometries Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 5

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verified exact
arxiv_id, observed 2026-05-15T21:40:24.240718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-15T21:40:24.181687Z digest=sha256:5d69ad8104dc3019fd2afb0c29b4476e9176ca845fed3f1cd4e79a327c43e694

Observation 4d941a35-94e8-48f8-baa3-1d6532d18494 · inbound

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries cites this paper.

Transolver++: An Accurate Neural Solver for PDEs on Million-Scale Geometries Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 2021

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no resolver link, observed 2026-08-09T12:18:11.277928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-09T12:18:11.277928Z digest=sha256:44e7d38117acf9dbe69adc41109b8a17cf497b987d1ade86fc681cfaf73d8e68

Observation a8189013-424f-4111-acbf-8c77e76aa8a9 · inbound

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction cites this paper.

Factorized Implicit Global Convolution for Automotive Computational Fluid Dynamics Prediction Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 14

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unresolved
no resolver link, observed 2026-08-08T22:55:42.075730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T22:55:42.075730Z digest=sha256:d6b4f7fc69cb7a7741e54f945070dcf5374c87790be0761c512b6ba97aac2fe5

Observation 416c141d-4087-450e-90ff-254d5582d8ca · inbound

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling cites this paper.

A Two-Phase Deep Learning Framework for Adaptive Time-Stepping in High-Speed Flow Modeling Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 23

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metadata mismatch
arxiv_id, observed 2026-05-19T10:22:14.682548Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-19T10:17:34.190090Z digest=sha256:90f520de449aa63ddb0340cc59248489cbcc1ff20697d2a6d1a600a8ed783ca1

Observation 32137368-25da-4c8e-86c0-14ced7cd021a · inbound

Physics-Informed Neural Operators for Cardiac Electrophysiology cites this paper.

Physics-Informed Neural Operators for Cardiac Electrophysiology Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 10

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metadata mismatch
arxiv_id, observed 2026-05-17T23:40:31.148629Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-17T23:39:49.964788Z digest=sha256:e9ced7870e803e6d28da78eb4ab7ff88c54840680b7502dfdd5e93db789c0a8f

Observation d4b0718e-66e1-40f0-be53-2568788c7b82 · inbound

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training cites this paper.

GeoPT: Scaling Physics Simulation via Lifted Geometric Pre-Training Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 9

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verified exact
arxiv_id, observed 2026-05-21T12:20:06.941550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-21T12:17:15.852508Z digest=sha256:467076138787792c5ae22dee987b15d2d0c298915d44fd6eb52331b8e1bebc47

Observation fb4e691b-8c11-4f2f-b2f8-1f854560f4ec · inbound

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency cites this paper.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-05-12T03:56:19.318957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-05-12T03:55:32.973708Z digest=sha256:ef177e85f8b393211d3582ea7f544ebae2c68bf68ff19b9aa4e8586b0c773dd3

Observation e9f6b09a-9838-41b6-a4f6-9cf7fe59edbc · inbound

HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations cites this paper.

HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 29

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verified exact
arxiv_id, observed 2026-05-12T07:16:30.503803Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-12T03:30:13.422376Z digest=sha256:5b9415dc86a1919f9ede2e80e8a4203a28176045a76b9444e6fea4ccc5adc052

Observation f9faecf3-4c2a-4259-a34e-3796e58d1979 · inbound

HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations cites this paper.

HS-FNO: History-Space Fourier Neural Operator for Non-Markovian Partial Differential Equations Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 33

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metadata mismatch
arxiv_id, observed 2026-05-13T07:12:28.211465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-13T07:09:24.112069Z digest=sha256:b4e470055ba2c0012ac8e97b07499fff30830f86ba44250d6ba94bc2b7e6ea4e

Observation 8ce8e845-1ef5-45f6-bcad-088452e45094 · inbound

WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations cites this paper.

WLNO: Wavelet-Laplace Neural Operator for Solving Partial Differential Equations Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 38

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verified exact
arxiv_id, observed 2026-06-30T15:04:46.415089Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-30T14:57:17.751127Z digest=sha256:f501687e46591fd0941253f7dcd6312e5d9304264f11a9d9fa9b6458f9b092ef

Observation 7608611e-0c65-46ee-85f6-80303cecf354 · inbound

Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction cites this paper.

Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 27

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metadata mismatch
arxiv_id, observed 2026-07-02T11:46:56.241875Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-28T02:49:47.947848Z digest=sha256:51e998fd6dbe49c347b9c87be963c56eb9f2289287bf37b77eb517e9d257344a

Observation 746d355b-32d0-4cac-a921-46ff481368f8 · inbound

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction cites this paper.

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 31

Resolution
verified exact
arxiv_id, observed 2026-07-02T16:27:09.143486Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-27T22:42:44.127510Z digest=sha256:f0a4b9fbf6d25634553b70602db5f7e8e85af9eff26ce92ad76d91d5c236d0f6

Observation 70cf3e85-439d-4dd5-a50d-447c22318723 · inbound

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow cites this paper.

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 21

Resolution
verified exact
arxiv_id, observed 2026-07-04T18:50:04.830200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-06-25T22:26:06.511781Z digest=sha256:d329f56ca3b72ac7a9bfe92ec50900e74edbc302e2f3dfe2fc0a9afd1ac2ff70

Observation 79f502da-4e26-4741-a71b-a7d3d31021fe · inbound

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow cites this paper.

Solver Exactness, Learned Flexibility: Equivariant Boundary-Correction Operators for Stokes Flow Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 21

Resolution
unresolved
no resolver link, observed 2026-07-12T12:24:12.887915Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-12T12:24:12.887915Z digest=sha256:23bf53dcf56f874e61c617585a388efb2d33bfe346a74f3e8c202d5216c6eebc

Observation 26915a62-16b9-489b-bdab-ba975f90fa77 · inbound

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields cites this paper.

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 9

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unresolved
no resolver link, observed 2026-08-01T10:13:39.528869Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:13:39.528869Z digest=sha256:51ea5815b5bf600586ee4a73351f8dd5caf66db740982046be540c075c798c1c

Observation c9e69991-a2a4-4636-a8cd-6ce0098def07 · inbound

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study cites this paper.

No Free Lunch in Flow Surrogates under Time-Varying Boundary Conditions: A Two-Regime Study Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 69

Resolution
unresolved
no resolver link, observed 2026-07-30T16:23:26.920415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-30T16:23:26.920415Z digest=sha256:78b8096242236aba9865a0dc453451bf260c32dcd4781edbf300ca8c2c14a183

Observation 074128f7-4365-4ecd-a2d9-ac70eb4cb51b · inbound

Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation cites this paper.

Physics-Informed Neural Operator for Warm-Starting Background-Decomposed and Preconditioned PSFD: Enabling Scalable 3-D EUV Mask Simulation Geometry-Informed Neural Operator for Large-Scale 3D PDEs

Reference 32

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unresolved
no resolver link, observed 2026-08-01T02:50:07.932283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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