Paper Citation Record · LEDGER

AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2407.20801.

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

pith.paper-citation-record.v1
2407.20801 v1

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 4 of 4 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T17:31:59.292878Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-12T02:21:16.610595Z

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 e76e0f47-f564-4478-ae54-f1cb61af27a9 · inbound

A Benchmarking Framework for AI models in Automotive Aerodynamics cites this paper.

A Benchmarking Framework for AI models in Automotive Aerodynamics AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T17:31:59.292878Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d0ab8cc7-2dc9-41e5-bdfd-6530bf847e29 · inbound

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries cites this paper.

Transolver-3: Scaling Up Transformer Solvers to Industrial-Scale Geometries AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T04:33:18.423845Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d6f14bce-09ca-446a-a00a-53030440087c · inbound

M$^3$: Reframing Training Measures for Discretized Physical Simulations cites this paper.

M$^3$: Reframing Training Measures for Discretized Physical Simulations AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 5

Resolution: verified exact; arxiv_id, observed 2026-05-12T02:21:16.612500Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

Observation 704e6317-f723-471d-9e1d-9799393a65bb · inbound

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust cites this paper.

NeuroForge: A Self-Correcting, Geometry-Native Neural CFD Engine with Calibrated Physics-Residual Trust AhmedML: High-Fidelity Computational Fluid Dynamics Dataset for Incompressible, Low-Speed Bluff Body Aerodynamics

Reference 1

Resolution: unresolved; no resolver link, observed 2026-07-14T12:34:40.550770Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.