Paper Citation Record · LEDGER

From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 6 inbound Pith citation observations for arXiv:2306.01776.

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

pith.paper-citation-record.v1
2306.01776 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 2026-08-08T06:32:00.761636+00:00

measured 6 of 6 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T12:36:58.869399Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T06:01:26.591481Z

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

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation d5160259-d2e6-4e35-bbae-cff39f1549a7 · inbound

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction cites this paper.

Autoregressive regularized score-based diffusion models for multi-scenarios fluid flow prediction From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-07T12:36:58.869399Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e17805e2-92c2-41eb-8e04-b0431680e315 · inbound

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit cites this paper.

Pixel-Resolved Long-Context Learning for Turbulence at Exascale: Resolving Small-scale Eddies Toward the Viscous Limit From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-06T15:09:21.922467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f51c25c0-378a-4480-92b6-6f1372d73881 · inbound

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade cites this paper.

Reconstructing Multi-Scale Physical Fields from Extremely Sparse Measurements with an Autoencoder-Diffusion Cascade From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-03T19:13:44.780085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 480350d6-7873-42a3-a9b6-91335de1fe32 · inbound

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence cites this paper.

Integrating Fourier Neural Operator with Diffusion Model for Autoregressive Predictions of Three-dimensional Turbulence From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-03T16:37:37.654784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 13d9bc9f-8d6d-4c67-80a6-773e5311681c · inbound

DiffATS: Diffusion in Aligned Tensor Space cites this paper.

DiffATS: Diffusion in Aligned Tensor Space From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-12T06:01:26.593778Z

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 c4da0594-160b-4667-9ae1-10ad1d71b83e · inbound

A hybrid proper orthogonal decomposition and diffusion framework for reduced-order forecasting of turbulent flow dynamics cites this paper.

A hybrid proper orthogonal decomposition and diffusion framework for reduced-order forecasting of turbulent flow dynamics From Zero to Turbulence: Generative Modeling for 3D Flow Simulation

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T17:57:55.367546Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.