Pith. sign in

Paper Citation Record · LEDGER

Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 13 inbound Pith citation observations for arXiv:2309.01745.

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

pith.paper-citation-record.v1
2309.01745 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 2026-08-09T06:31:02.800959+00:00

measured 13 of 13 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:55:03.640441Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T12:13:26.476560Z

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 4cb8ade4-47a5-4fb1-b62f-bf3235ab619b · inbound

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems cites this paper.

FLEX: A Backbone for Diffusion-Based Modeling of Spatio-temporal Physical Systems Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 24

Resolution
unresolved
no resolver link, observed 2026-08-07T14:55:03.640441Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:55:03.640441Z digest=sha256:1d7c1f06c3e78d5194adb7adbac25bad2aad1a0ce1e7c2c86f27124daa54d131

Observation 902d67d1-65d6-4893-9128-201092a2fc10 · inbound

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation cites this paper.

STFlow: Data-Coupled Flow Matching for Geometric Trajectory Simulation Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-07T14:33:51.403931Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T14:33:51.403931Z digest=sha256:69abd5add8bdf477c276e6e2282bd99758b7107af84e002719d9c079a1649caf

Observation 7b0447cc-053e-44b1-bb70-059d20854da3 · inbound

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation cites this paper.

FD-Bench: A Modular and Fair Benchmark for Data-driven Fluid Simulation Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 46

Resolution
verified exact
arxiv_id, observed 2026-05-22T13:01:33.964084Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-22T13:00:03.946769Z digest=sha256:f557acc23d693243e28110e782c2f1333baa86912cb11bad58d169c525bd66fb

Observation d8601fe5-881e-4cf2-bef1-7a8e9bd552ad · 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 Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-07T12:36:59.481243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T12:36:59.481243Z digest=sha256:ae80006ff6e6010867dd60d7b99a42abf2bf3758c05b2f99bc7d40d49a2f3b9e

Observation f827f106-2f5b-4bf0-a81b-8fc63db6654f · inbound

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations cites this paper.

PDE-Transformer: Efficient and Versatile Transformers for Physics Simulations Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 40

Resolution
unresolved
no resolver link, observed 2026-08-07T12:35:37.669192Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-07T12:35:37.669192Z digest=sha256:5cf9132f196eaafcb4e0265434957e47da362cb0a07b5db908e3791bd014e357

Observation a8cbb08a-c7a9-430a-b562-96c4a81236ec · inbound

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates cites this paper.

Evaluation of Neural Surrogates for Physical Modelling Synthesis of Nonlinear Elastic Plates Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-06T16:49:26.465911Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T16:49:26.465911Z digest=sha256:2ddab4acd51fac9585e57280cda241257dfef7121a1aa0ad586673efa7f21dde

Observation 81feb02a-ca81-4427-9cfd-59286e85ceb8 · inbound

Inferring processes within dynamic forest models using hybrid modeling cites this paper.

Inferring processes within dynamic forest models using hybrid modeling Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-06T05:50:01.812085Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T05:50:01.812085Z digest=sha256:f622b25a51c380a23296e78d021d99b15d40508e4bda7f1f4664c55210a20d90

Observation 0cac0d0e-c849-484c-81f7-1a2b99ad5d27 · inbound

Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system cites this paper.

Point-wise Diffusion Models for Physical Systems with Shape Variations: Application to Spatio-temporal and Large-scale system Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 20

Resolution
unresolved
no resolver link, observed 2026-08-06T05:45:56.368113Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-06T05:45:56.368113Z digest=sha256:ba30b0011f0d3d63ed90f84be9d61271b61de621745e4343f697127298dba2ad

Observation c4ecc788-9690-478c-921e-e8913a737c19 · 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 Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 49

Resolution
unresolved
no resolver link, observed 2026-08-03T16:37:38.033403Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T16:37:38.033403Z digest=sha256:07340b9713b3cd36eef3e3977ee45b8c765ddf2b054625eaf7be35d81d8f92b6

Observation 1d377f55-797f-4536-b7fb-f2c24354369e · inbound

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions cites this paper.

One Scale at a Time: Scale-Autoregressive Modeling for Fluid Flow Distributions Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 10

Resolution
metadata mismatch
arxiv_id, observed 2026-05-11T09:16:03.640806Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-10T16:07:37.663509Z digest=sha256:96aef0d4397eeccfcfb3b842f1aba6c67922b93dae96e8e142a5f7d61fbc6ae5

Observation 38c6d005-b00b-42cd-8c54-b9f7bbcb5abe · inbound

Problem-Specific Basis Quantum State Readout via Proper Orthogonal Decomposition cites this paper.

Problem-Specific Basis Quantum State Readout via Proper Orthogonal Decomposition Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 69

Resolution
verified exact
arxiv_id, observed 2026-06-29T12:13:26.477954Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-06-29T12:11:49.534153Z digest=sha256:4fcdb5d1843d636dea16ee2dcbfdb7b3af299ed5b8d5ff588b8715006e1a02da

Observation b3923772-1b2d-409b-ae3d-5156284c83d8 · inbound

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors cites this paper.

Round-Trip Consistency: Bidirectional Diffusion Models Can Predict Their Own Rollout Errors Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 36

Resolution
unresolved
no resolver link, observed 2026-08-04T00:52:50.701543Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-04T00:52:50.701543Z digest=sha256:a90bd6c783c58c5e3f9411a337716be8ea5403e4754a7b1f85fc2918836bcfa9

Observation 5f0b2c30-c2f1-4bef-a2ea-04b9eb8a2795 · inbound

Benchmarking Multi-fidelity Neural Operators on Complex PDE Problems with Non-trivial Fidelity Differences cites this paper.

Benchmarking Multi-fidelity Neural Operators on Complex PDE Problems with Non-trivial Fidelity Differences Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-06T18:32:38.557667Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:32:38.557667Z digest=sha256:61de04205493c6db4364b7704731e42c39d070425441c2644f218bf5d3eaf544