Paper Citation Record · LEDGER

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning

As of 20 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:2608.07161.

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

pith.paper-citation-record.v1
2608.07161 v1

Coverage vector

measured 18 of 18 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-15T14:31:29.819453Z

measured 18 of 18 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

18 of 18 outbound references displayed

verified exact1
verified fuzzy9
unresolved8
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 3e73cc7e-c617-4d15-8e02-0a6ed5521ded · outbound

This paper cites Learning distributions of complex fluid simulations with diffusion graph networks.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Learning distributions of complex fluid simulations with diffusion graph networks

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.754860Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cda44642-98a6-4550-9f5d-074dc692cb09 · outbound

This paper cites Thuerey, K.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Thuerey, K

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.098298Z

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 0393fc84-9610-4708-83ea-41c14ce51f66 · outbound

This paper cites Machine learning for fluid mechanics.Annual review of fluid mechanics, 52:477–508, 2020.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Machine learning for fluid mechanics.Annual review of fluid mechanics, 52:477–508, 2020

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.085044Z

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 596450e9-4626-41be-8d41-c0a75f69c739 · outbound

This paper cites Solver-in-the- loop: Learning from differentiable physics to interact with iterative pde-solvers.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Solver-in-the- loop: Learning from differentiable physics to interact with iterative pde-solvers

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.074389Z

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 2367ac2d-485b-4646-8bf6-5d72db959306 · outbound

This paper cites Learned Coarse Models for Efficient Turbulence Simulation.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Learned Coarse Models for Efficient Turbulence Simulation

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.770969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd10a57-6df0-4852-84e9-310899ba2a49 · outbound

This paper cites Relational inductive biases, deep learning, and graph networks.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Relational inductive biases, deep learning, and graph networks

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.775416Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 97136ef4-c639-4afd-bf42-ad8ca8e57f19 · outbound

This paper cites Battaglia.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Battaglia

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.063623Z

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 6b64e811-9499-4238-b59f-0126b7ba2214 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Fourier Neural Operator for Parametric Partial Differential Equations

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.784232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 215c8663-a351-43b6-a19a-a3aadc85f63a · outbound

This paper cites Learning to simulate complex physics with graph networks.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Learning to simulate complex physics with graph networks

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.051171Z

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 71cf4514-dad2-44e3-9a92-0c5b08fb950f · outbound

This paper cites Weiss, Niru Maheswaranathan, and Surya Ganguli.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Weiss, Niru Maheswaranathan, and Surya Ganguli

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.038023Z

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 fae91fa0-dbf9-42fa-bd43-2eae1d5dd496 · outbound

This paper cites Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Denoising diffusion probabilistic models.Advances in neural information processing systems, 33:6840–6851, 2020

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.795232Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 129c6bb8-1500-4f97-91b3-3e2cca46bcc4 · outbound

This paper cites Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Kingma, Abhishek Kumar, Stefano Ermon, and Ben Poole

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:30.017373Z

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 5e9235d6-7423-4169-8d52-75bfb664e18c · outbound

This paper cites Equivariant diffusion for molecule generation in 3D.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Equivariant diffusion for molecule generation in 3D

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.801549Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 051e19ce-7737-442e-b429-57f442150b42 · outbound

This paper cites Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Diffusion Probabilistic Modeling of Protein Backbones in 3D for the motif-scaffolding problem

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:29.991389Z

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 2145a58e-2d0f-4c69-9e4d-a1f918e644ce · outbound

This paper cites Pi-fusion: Physics-informed diffusion model for learning fluid dynamics.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Pi-fusion: Physics-informed diffusion model for learning fluid dynamics

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.808362Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cb9585f0-e744-43ef-a033-49f26c61479d · outbound

This paper cites Worrall, and Max Welling.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning Worrall, and Max Welling

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T14:31:29.979535Z

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 6b917bfc-fbab-4f24-a1c6-3ffe8dbcfa13 · outbound

This paper cites DiffusionPDE: Generative PDE-Solving Under Partial Observation.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning DiffusionPDE: Generative PDE-Solving Under Partial Observation

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-15T14:31:29.815406Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f946f5f7-fd7d-47df-adf8-a8febd174e4c · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Fluid-DiT: Graph-Free Diffusion Transformers for Fluid Flow Simulations Learning High- resolution image synthesis with latent diffusion models

Reference 18

Resolution: verified exact; raw_fallback, observed 2026-08-15T14:31:29.913683Z

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.

Pith citing papers

No inbound Pith citation observations are available.