Paper Citation Record · LEDGER

Generative AI for fast and accurate statistical computation of fluids

As of 11 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 10 inbound Pith citation observations for arXiv:2409.18359.

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

pith.paper-citation-record.v1
2409.18359 v2

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Typed states for the displayed outbound observations.

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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 2026-08-10T19:32:41.842355Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T02:06:27.737834Z

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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 fd9447e1-4904-450c-baa8-5928daddffee · inbound

Regional climate risk assessment from climate models using probabilistic machine learning cites this paper.

Regional climate risk assessment from climate models using probabilistic machine learning Generative AI for fast and accurate statistical computation of fluids

Reference 97

Resolution: verified exact; arxiv_id, observed 2026-05-23T07:27:42.627465Z

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.

Observation a6b48db0-e5ac-4833-8f3f-b6c513bc98a1 · inbound

On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs cites this paper.

On understanding and overcoming spectral biases of deep neural network learning methods for solving PDEs Generative AI for fast and accurate statistical computation of fluids

Reference 130

Resolution: unresolved; no resolver link, observed 2026-08-10T19:32:41.842355Z

Source-reported events for the cited work

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Observation 007485de-2e30-4063-9ac1-83877de09611 · inbound

Neuro-Symbolic AI for Analytical Solutions of Differential Equations cites this paper.

Neuro-Symbolic AI for Analytical Solutions of Differential Equations Generative AI for fast and accurate statistical computation of fluids

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-05-23T03:35:21.208948Z

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.

Observation a9c304a8-30c0-4887-8187-a991a1757c22 · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach Generative AI for fast and accurate statistical computation of fluids

Reference 204

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:50.371643Z

Source-reported events for the cited work

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Observation bb874153-65b5-49ab-b2f3-d5097d445493 · inbound

Modeling turbulent and self-gravitating fluids with Fourier neural operators cites this paper.

Modeling turbulent and self-gravitating fluids with Fourier neural operators Generative AI for fast and accurate statistical computation of fluids

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-06T10:46:04.944814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6cabe03-f816-4e6b-a9ca-9798a8745fae · inbound

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows cites this paper.

Pretrained Video Models as Differentiable Physics Simulators for Urban Wind Flows Generative AI for fast and accurate statistical computation of fluids

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-15T07:05:11.568116Z

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.

Observation 45028dbb-24d3-40fc-91cc-2f862a1ff9cd · inbound

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes cites this paper.

FluidFlow: a flow-matching generative model for fluid dynamics surrogates on unstructured meshes Generative AI for fast and accurate statistical computation of fluids

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-14T21:22:59.265783Z

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.

Observation dd3322ac-ac10-4e18-bacc-dd8a909626c5 · inbound

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting cites this paper.

Autoregressive One-Step Generative Modeling for Dynamical System Forecasting Generative AI for fast and accurate statistical computation of fluids

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-02T14:48:36.222253Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e2a361-14ee-4293-83d1-87af4bd9c7d7 · inbound

Convergent Stochastic Training of Attention and Understanding LoRA cites this paper.

Convergent Stochastic Training of Attention and Understanding LoRA Generative AI for fast and accurate statistical computation of fluids

Reference 18

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T03:05:55.065038Z

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.

Observation 8236de4c-fcbf-4f26-ba37-885a1775b3cf · inbound

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations cites this paper.

Correcting Neural Operator Spectral Bias via Diffusion Posterior Sampling with Sparse Observations Generative AI for fast and accurate statistical computation of fluids

Reference 9

Resolution: verified exact; arxiv_id, observed 2026-07-02T02:06:27.740030Z

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.