Paper Citation Record · LEDGER

DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2004.08826.

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

pith.paper-citation-record.v1
2004.08826 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 6 of 6 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:18:26.522267Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T16:13:36.039486Z

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 ea2e3c28-fa1d-4ad0-be25-2b04d0f3b307 · inbound

Convolutional Long Short-Term Memory Neural Networks Based Numerical Simulation of Flow Field cites this paper.

Convolutional Long Short-Term Memory Neural Networks Based Numerical Simulation of Flow Field DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-07T15:18:26.522267Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8fba79c3-74ac-46aa-a53e-100a6b901e22 · inbound

Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities cites this paper.

Multi-Stage Graph Neural Networks for Data-Driven Prediction of Natural Convection in Enclosed Cavities DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T04:38:43.598749Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 02b2bc90-5ebe-4afe-b1df-c85d8347ef59 · inbound

Adaptation of AI-accelerated CFD Simulations to the IPU platform cites this paper.

Adaptation of AI-accelerated CFD Simulations to the IPU platform DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-11T15:41:08.102758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 6b0ed785-8c5c-4974-ba21-46653fb165be · inbound

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning cites this paper.

Full-field prediction for engineering-scale three-dimensional aircraft with multigrid-hierarchical learning DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-06-29T16:13:36.040804Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

Observation 20021e7f-46ba-4024-9fe5-49a191bc4fcf · inbound

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust cites this paper.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 14

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ec98bfe7-4743-423a-a21f-9122718ddb07 · inbound

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations cites this paper.

Continual-Learning Physics-Informed Neural Networks for Parameterized Partial Differential Equations DeepCFD: Efficient Steady-State Laminar Flow Approximation with Deep Convolutional Neural Networks

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T16:56:19.332616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.