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Paper Citation Record · LEDGER

Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2302.10803.

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

pith.paper-citation-record.v1
2302.10803 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 10 of 10 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:55:14.216935Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:29:54.919032Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c4529a0d-fe5c-4bba-b795-aeb200704ebc · inbound

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks cites this paper.

Thickness-aware E(3)-Equivariant 3D Mesh Neural Networks Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 8

Resolution
unresolved
no resolver link, observed 2026-08-07T13:55:14.216935Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:55:14.216935Z digest=sha256:d0a535474a1567a5b6db450274330c9aa353ce23545ae1cc71bff705f09a3b7e

Observation 95edfe14-a420-4ece-a4a4-a7ca4e6e36f5 · inbound

SlotPi: Physics-informed Object-centric Reasoning Models cites this paper.

SlotPi: Physics-informed Object-centric Reasoning Models Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-07T04:25:21.046730Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T04:25:21.046730Z digest=sha256:e6690002ce161e818ef73ec2557cb0fff24e2f7d36f2e99f2b37ee9c7532d4bc

Observation 08e77182-826e-4212-a115-5ec82d7e7a2a · inbound

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations cites this paper.

M4GN: Mesh-based Multi-segment Hierarchical Graph Network for Dynamic Simulations Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 1993

Resolution
unresolved
no resolver link, observed 2026-08-04T17:48:34.950332Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T17:48:34.950332Z digest=sha256:50b82c1550bf3cb78279e499790a9a949e680c429a84c86608c91d14464927c5

Observation b18b5ca1-f824-4efb-8df0-7c80d657cbe5 · inbound

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs cites this paper.

Structure-Preserving Learning Improves Geometry Generalization in Neural PDEs Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 9

Resolution
unresolved
no resolver link, observed 2026-08-03T05:22:11.610984Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T05:22:11.610984Z digest=sha256:88e1374214b8ab5018e60a385193f67a1900b31fde4bfb423e94a7aa43e8efc0

Observation 69f05ee8-256d-41a9-bdfb-2c5414a78a95 · inbound

LASER: Learning Active Sensing for Continuum Field Reconstruction cites this paper.

LASER: Learning Active Sensing for Continuum Field Reconstruction Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 84

Resolution
verified exact
arxiv_id, observed 2026-05-11T12:31:02.497399Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-10T03:35:23.240677Z digest=sha256:e3c3fae3326b12121bccb51c07d17b9be39403589269364b36bd0e72df95ff95

Observation 86ea8e98-9803-48ac-84ed-f4fa7d6e42c1 · inbound

PhySPRING: Structure-Preserving Reduction of Physics-Informed Twins via GNN cites this paper.

PhySPRING: Structure-Preserving Reduction of Physics-Informed Twins via GNN Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 47

Resolution
verified exact
arxiv_id, observed 2026-05-11T03:20:55.096001Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=pdf_text observed=2026-05-11T03:20:31.317356Z digest=sha256:af4dfea715f931189317dfd295567a6998a21dae03615ed1e1391162043f6e3f

Observation 082677ec-aef9-40b0-82b3-0d3fb1161140 · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-12T07:21:26.179614Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-12T03:27:14.464987Z digest=sha256:8c5ef8fa903f5197d26cde7553a94743b78f6d7b88e4bf0996c7e74cc74be8e8

Observation d134944a-3008-4217-9834-cfc7a51b0dae · inbound

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting cites this paper.

PnP-Corrector: A Universal Correction Framework for Coupled Spatiotemporal Forecasting Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 134

Resolution
verified exact
arxiv_id, observed 2026-05-14T21:22:59.161065Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-05-14T21:21:32.256476Z digest=sha256:df2a150e6664d7be948c479587f58bf9af5b931918c01d05ddab35400cd61dee

Observation a99d944a-ddb3-43ba-9651-f6627248c4e9 · inbound

Revisiting Neural Processes via Fourier Transform and Volterra Series cites this paper.

Revisiting Neural Processes via Fourier Transform and Volterra Series Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 87

Resolution
verified exact
arxiv_id, observed 2026-06-28T17:12:24.420767Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

source=arxiv_source observed=2026-06-28T17:11:05.372933Z digest=sha256:2c16702eaba55f5255f035cd0257037ddce57b40f78dfad87510a7147435f062

Observation d06f1a37-2c70-4bce-af10-8b631e1754c9 · inbound

Generating Special Triangulations with Transformers cites this paper.

Generating Special Triangulations with Transformers Eagle: Large-Scale Learning of Turbulent Fluid Dynamics with Mesh Transformers

Reference 43

Resolution
verified exact
arxiv_id, observed 2026-07-04T14:29:54.921007Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

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