Paper Citation Record · LEDGER

Machine Learning for Fluid Mechanics

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:1905.11075.

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

pith.paper-citation-record.v1
1905.11075 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 13 of 13 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:49:40.243310Z

measured 1 of 1 external citation measurements

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

Source: doi_reference, observed 2026-07-09T12:36:13.696486Z

Reference resolution

0 of 0 outbound references displayed

verified exact0
verified fuzzy0
unresolved0
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malformed identifier0
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External citation measurements

2470
doi_reference, observed 2026-07-09T12:36:13.696486Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation 52584425-b6e9-4017-abef-14d0ae08d9b3 · inbound

Machine learning for modelling unstructured grid data in computational physics: a review cites this paper.

Machine learning for modelling unstructured grid data in computational physics: a review Machine Learning for Fluid Mechanics

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-07T21:49:40.243310Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1996591b-3786-4972-9364-cb2a395951f2 · inbound

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems cites this paper.

PVD-ONet: A Multi-scale Neural Operator Method for Singularly Perturbed Boundary Layer Problems Machine Learning for Fluid Mechanics

Reference 29

Resolution: verified exact; doi, observed 2026-05-19T03:12:00.446390Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4b8ea918-5488-4cc9-97f9-95635c569b42 · inbound

FlowForge: A Staged Local Rollout Engine for Flow-Field Prediction cites this paper.

FlowForge: A Staged Local Rollout Engine for Flow-Field Prediction Machine Learning for Fluid Mechanics

Reference 1

Resolution: verified exact; doi, observed 2026-05-10T03:24:14.693679Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7897b3e2-e12a-40a2-bb87-d39ac7f7956e · inbound

AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities cites this paper.

AI-Powered Surrogate Modelling for Multiscale Combustion: A Critical Review and Opportunities Machine Learning for Fluid Mechanics

Reference 36

Resolution: verified exact; doi, observed 2026-05-09T02:59:51.213183Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d1b4cd5c-019b-4504-85d4-6b930ddbcc20 · inbound

Discovery of Sparse Invariant Subgrid-Scale Closures via Dissipation-Controlled Training for Large Eddy Simulation on Anisotropic Grids cites this paper.

Discovery of Sparse Invariant Subgrid-Scale Closures via Dissipation-Controlled Training for Large Eddy Simulation on Anisotropic Grids Machine Learning for Fluid Mechanics

Reference 2

Resolution: verified exact; doi, observed 2026-05-09T02:39:51.392736Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 801867bc-617d-4439-b61b-5cdb1f9b5547 · inbound

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence cites this paper.

Large-eddy simulation nets (LESnets) based on physics-informed neural operator for wall-bounded turbulence Machine Learning for Fluid Mechanics

Reference 16

Resolution: verified exact; doi, observed 2026-05-09T04:00:13.072556Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 67742505-9c1a-420e-b56d-15b6b4f00bab · inbound

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems cites this paper.

Scale-Aware Adversarial Analysis: A Diagnostic for Generative AI in Multiscale Complex Systems Machine Learning for Fluid Mechanics

Reference 91

Resolution: metadata mismatch; doi, observed 2026-05-09T19:56:16.488013Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ae79db1c-24c6-4bad-a2c4-081a1ad60a8f · inbound

The impact of observation density on Bayesian inversion of latent dynamics in shock-dominated flows cites this paper.

The impact of observation density on Bayesian inversion of latent dynamics in shock-dominated flows Machine Learning for Fluid Mechanics

Reference 32

Resolution: verified exact; doi, observed 2026-05-20T11:43:14.850686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 018f3777-0d24-4795-9dd5-d84b27e5a4ed · inbound

Semigroup Consistency as a Diagnostic for Learned Physics Simulators cites this paper.

Semigroup Consistency as a Diagnostic for Learned Physics Simulators Machine Learning for Fluid Mechanics

Reference 2

Resolution: verified exact; doi, observed 2026-06-29T22:23:59.633357Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2d2a9482-190d-4859-9932-73028500b025 · inbound

Striding Across Reynolds Numbers: Representation Geometry in Neural PDE Generalisation cites this paper.

Striding Across Reynolds Numbers: Representation Geometry in Neural PDE Generalisation Machine Learning for Fluid Mechanics

Reference 5

Resolution: verified exact; doi, observed 2026-06-29T08:53:15.319819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 628909a9-f39d-4cd4-afe4-9db9f161f096 · inbound

Data-Driven Equation Discovery for Nonlinear Liquid Film Flows cites this paper.

Data-Driven Equation Discovery for Nonlinear Liquid Film Flows Machine Learning for Fluid Mechanics

Reference 108

Resolution: metadata mismatch; doi, observed 2026-06-27T06:00:36.575252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 2b0d449e-f4c4-451d-b2ac-2921ebaa2647 · inbound

JAX-FVM: A differentiable, entropy-stable finite volume solver on unstructured meshes for compressible flows cites this paper.

JAX-FVM: A differentiable, entropy-stable finite volume solver on unstructured meshes for compressible flows Machine Learning for Fluid Mechanics

Reference 4

Resolution: metadata mismatch; doi, observed 2026-07-09T12:36:13.699456Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 86a5a3cd-8440-43d6-b20c-2f710f531a93 · inbound

A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium cites this paper.

A physics-assisted deep neural network-based closure framework for velocity gradient dynamics in compressible flows with vibrational non-equilibrium Machine Learning for Fluid Mechanics

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T08:23:28.505957Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.