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Paper Citation Record · LEDGER

CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

As of 22 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2512.07847.

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

pith.paper-citation-record.v1
2512.07847 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-03T19:06:22.154981Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T19:08:49.312450Z

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 a4a09829-d70f-43c6-8f77-f3e21834f86c · inbound

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction cites this paper.

Toward Generalizable Graph Learning for 3D Engineering AI: Explainable Workflows for CAE Mode Shape Classification and CFD Field Prediction CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-05-10T18:01:54.399709Z digest=sha256:c1ca7429a5b3e53b6ca99ce11ce985082fba8bd3591a73f8565a7e67a328cc9f

Observation 3a6c5e5d-84e3-497a-8e2e-450f30e83b82 · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 78

Resolution
metadata mismatch
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-11T00:58:52.602708Z digest=sha256:3ff4323434877299d32df6fae2092576819dc4a903257bfd16060318ca0bcd47

Observation 965f4bbe-f5b9-433e-8c7a-0e3db7f75bb6 · inbound

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation cites this paper.

CarCrashNet: A Large-Scale Dataset and Hierarchical Neural Solver for Data-Driven Structural Crash Simulation CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 57

Resolution
verified exact
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-05-20T22:46:27.666052Z digest=sha256:7ea9e30b7f7d7adbc0e87ce137f1644c2a0bd56c6d142e0a0997aa3561e1782b

Observation b2ff3a84-1f39-4cc2-a9d6-db1690e66518 · inbound

FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue cites this paper.

FLOATBench: A Dataset and Benchmark for Floating Offshore Wind Turbine Tower Fatigue CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 4

Resolution
metadata mismatch
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T21:31:17.491891Z digest=sha256:31272324e12a1f54d78f06777ad57bc3d3db2c01ce6e82a5a918ab324169fc29

Observation 9fefc804-db2e-4e4a-946e-6665d78f2c4f · inbound

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning cites this paper.

Adapting Automotive Aerodynamics Surrogates to New Vehicle Families via Transfer Learning CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 20

Resolution
metadata mismatch
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-29T09:55:33.247813Z digest=sha256:55b33cf78c421b69c5758a482738273405e64a1a201825c59840c6cd89172e58

Observation 10499f39-2e66-46ef-86c7-a701bbef5192 · inbound

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction cites this paper.

A Geometry-Aware Triplane Field Network for Vehicle Aerodynamic Prediction CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-06-27T22:42:44.127510Z digest=sha256:babed9da79bdb65c6334b5420341e83d40ecfc41f5ea5b6840f70fd727215130

Observation 710f2804-0a26-45dd-a911-53d0136e0dfd · inbound

Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks cites this paper.

Robust and Explainable 3D Mode Shape Recognition Using Region-Aware Graph Neural Networks CarBench: A Comprehensive Benchmark for Neural Surrogates on High-Fidelity 3D Car Aerodynamics

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-08-21T01:16:43.209514Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

source=arxiv_source observed=2026-07-03T19:06:22.154981Z digest=sha256:175a5be3a0348d63b2451a3506c1e0679b60f7da84811b2c2efe7e827762c67d