Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Accelerating Eulerian Fluid Simulation With Convolutional Networks
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:1607.03597.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-12T18:29:23.333768Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T16:46:19.185895Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
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 033d8fda-3edb-415c-b491-82e623d3a2b7 · inbound
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting cites this paper.
Generative Spatio-temporal GraphNet for Transonic Wing Pressure Distribution Forecasting Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T18:29:23.333768Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 19fc77c5-ea05-45fe-ac0a-82c846d77f0f · inbound
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations cites this paper.
A Multi-Fidelity Graph U-Net Model for Accelerated Physics Simulations Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T11:33:48.286138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 02dd185b-ffe2-451a-bc2c-6e7cef4ab57b · inbound
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks cites this paper.
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 28
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:24:33.559039Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 85bc476c-2034-433d-a1f8-e7a2111aa899 · inbound
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis cites this paper.
NeurIPS 2024 ML4CFD Competition: Results and Retrospective Analysis Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T05:14:44.321907Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1abfb0d1-6c89-41b0-b77d-4b041727d3d2 · inbound
Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application cites this paper.
Spectral Learning of Magnetized Plasma Dynamics: A Neural Operator Application Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-06T20:57:38.685163Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 188db29b-cbe9-479d-9fc7-85b4ce3a27fa · inbound
Mesh Based Simulations with Spatial and Temporal awareness cites this paper.
Mesh Based Simulations with Spatial and Temporal awareness Accelerating Eulerian Fluid Simulation With Convolutional Networks
Reference 35
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T16:46:19.303307Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.