Paper Citation Record · LEDGER

Generative Latent Neural PDE Solver using Flow Matching

As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 12 inbound Pith citation observations for arXiv:2503.22600.

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

pith.paper-citation-record.v1
2503.22600 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 12 of 12 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00

measured 12 of 12 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T20:31:30.428139Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T13:04:52.524089Z

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 27603b7e-28bd-4ed1-a5bc-58a2eb4aac10 · inbound

DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation cites this paper.

DiffTopo: Solver in the Loop for Inverse Topography via Condition Diffusion Generation Generative Latent Neural PDE Solver using Flow Matching

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-05T20:31:30.428139Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a22feddb-fc6c-4168-ba76-9f986a1cd166 · inbound

Flow marching for a generative PDE foundation model cites this paper.

Flow marching for a generative PDE foundation model Generative Latent Neural PDE Solver using Flow Matching

Reference 36

Resolution: verified exact; arxiv_id, observed 2026-05-18T13:51:25.540446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ceab544a-4ef2-446b-b2a8-8c0b8e541948 · inbound

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting cites this paper.

Performance-Carbon Trade-Offs across Architectural Biases in Shear Flow Forecasting Generative Latent Neural PDE Solver using Flow Matching

Reference 25

Resolution: verified exact; arxiv_id, observed 2026-05-22T13:04:52.527371Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1d72af2e-c4ca-4e05-8d3e-8bd38a5d8368 · inbound

Particle-Guided Diffusion Models for Partial Differential Equations cites this paper.

Particle-Guided Diffusion Models for Partial Differential Equations Generative Latent Neural PDE Solver using Flow Matching

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T06:13:16.817315Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0875adf1-125b-416d-ae37-3e97292af105 · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing Generative Latent Neural PDE Solver using Flow Matching

Reference 23

Resolution: verified exact; arxiv_id, observed 2026-05-13T22:23:21.472040Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 93d1e415-7a3e-406e-8807-b5d96f5327ae · inbound

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing cites this paper.

Flow Learners for PDEs: Toward a Physics-to-Physics Paradigm for Scientific Computing Generative Latent Neural PDE Solver using Flow Matching

Reference 24

Resolution: unresolved; no resolver link, observed 2026-07-13T14:19:58.645410Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 75165807-04af-4595-b24c-0645267bd67f · inbound

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics cites this paper.

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics Generative Latent Neural PDE Solver using Flow Matching

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-11T23:26:16.462878Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation cc14ac86-b6cd-4465-9694-ca129650a2f7 · inbound

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics cites this paper.

PerFlow: Physics-Embedded Rectified Flow for Efficient Reconstruction and Uncertainty Quantification of Spatiotemporal Dynamics Generative Latent Neural PDE Solver using Flow Matching

Reference 14

Resolution: verified exact; arxiv_id, observed 2026-05-19T16:52:39.799948Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 559957a5-a9ec-4e18-afd2-9b430164a5dc · inbound

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency cites this paper.

Recovering Physical Dynamics from Discrete Observations via Intrinsic Differential Consistency Generative Latent Neural PDE Solver using Flow Matching

Reference 22

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T03:56:21.661507Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 2db517f5-52e9-4c27-9aab-6e559293717a · inbound

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations cites this paper.

Di-BiLPS: Denoising induced Bidirectional Latent-PDE-Solver under Sparse Observations Generative Latent Neural PDE Solver using Flow Matching

Reference 9

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T19:07:51.038206Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a0ee7057-bae9-44ab-8735-9af553c41200 · inbound

Wavelet Flow Matching for Multi-Scale Physics Emulation cites this paper.

Wavelet Flow Matching for Multi-Scale Physics Emulation Generative Latent Neural PDE Solver using Flow Matching

Reference 27

Resolution: verified exact; arxiv_id, observed 2026-05-20T19:33:41.899631Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 16d7049d-4f6e-429f-874e-8e85d117ed0d · inbound

Generating synthetic evolution of turbulent flames with an experimental data-based spatiotemporal diffusion model cites this paper.

Generating synthetic evolution of turbulent flames with an experimental data-based spatiotemporal diffusion model Generative Latent Neural PDE Solver using Flow Matching

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-02T06:02:05.342275Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.