Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Benchmarking Autoregressive Conditional Diffusion Models for Turbulent Flow Simulation
As of 5 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2309.01745.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-04T06:34:03.388597+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T00:52:50.701543Z
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 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 2026-08-04T06:34:03.388597+00:00.
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.
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 2026-08-04T06:34:03.388597+00:00.
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 2026-08-04T06:34:03.388597+00:00.
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.