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Paper Citation Record · LEDGER

Accelerating Eulerian Fluid Simulation With Convolutional Networks

As of 12 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:1607.03597.

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

pith.paper-citation-record.v1
1607.03597 v7

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-11T11:33:48.286138Z

measured 0 of 1 external citation measurements

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 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.

source=pdf_text observed=2026-08-11T11:33:48.286138Z digest=sha256:8fff72efc8ed677fdb64fa8f6bd480b5f0107cb05e9dd63b116b0255bf324e66

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.

source=pdf_text observed=2026-08-10T20:24:33.559039Z digest=sha256:320ef0cc5066d8356ed60c65cd3b6dfa7815c98c8f6d02e813670d9189ab5009

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.

source=pdf_text observed=2026-08-07T05:14:44.321907Z digest=sha256:40454a2115af79f330453fd44d6abfcddadbbb08ded420bd9f3ac4f1ded0d638

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.

source=pdf_text observed=2026-08-06T20:57:38.685163Z digest=sha256:702aa7f4246e441928c725b3c743c00daf4db9a08b3c6b61ab56c8d1411849ba

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.

source=arxiv_source observed=2026-05-09T15:00:51.468683Z digest=sha256:63ab37b846fb69cfcb03580fd88d086737fddc4297ab22f7c68db1437098e4b5