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Paper Citation Record · LEDGER

A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2503.17386.

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

pith.paper-citation-record.v1
2503.17386 v2

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 2026-08-06T06:34:29.942622+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-11T11:50:26.030339Z

measured 1 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T02:28:24.338817Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

9
pith, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation e8d598fc-a970-4b52-9ac5-e4093ab7802e · 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 A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

Reference 91

Resolution
metadata mismatch
arxiv_id, observed 2026-06-19T17:11:51.522118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-11T00:58:52.602708Z digest=sha256:47c052a2ee6b28eaf030e1235b1a32202a35a5061a4a47be77df9bbe09bb5d91

Observation 03d6ff38-ac30-489b-808f-120d741abe77 · 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 A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-06-19T17:11:51.522118Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=arxiv_source observed=2026-05-20T22:46:27.666052Z digest=sha256:810b1cddf6c12a19ee0460528f1d78404eeab5caf963b085910a54160bdf9085

Observation 062ea2a8-d566-4feb-9e55-3734c3350bb1 · inbound

High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention cites this paper.

High-Fidelity Industrial Crash Dynamics Prediction via Geometry-Aware Operator Learning with Memory-Efficient Low-Rank Attention A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

Reference 29

Resolution
verified exact
local_arxiv, observed 2026-06-29T18:13:48.928869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-06-29T18:06:55.696400Z digest=sha256:d4b7eb36e27a01c8949cddb571e1250bd9b6313e932fecac0a2ce1f1af8569d0

Observation 24041955-f37d-4782-8d60-66eec24ba13e · inbound

Surrogate Assisted Pedestrian Protection Design via a Foundation Model Orchestrated Workflow cites this paper.

Surrogate Assisted Pedestrian Protection Design via a Foundation Model Orchestrated Workflow A graph neural network surrogate model for mesh-based crashworthiness prediction of vehicle panel components

Reference 9

Resolution
metadata mismatch
local_arxiv, observed 2026-06-27T01:30:20.555248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-06T06:34:29.942622+00:00.

source=pdf_text observed=2026-07-11T11:50:26.030339Z digest=sha256:a91386d5bfef8d8217aac0505bd3624abd3420b4aa714cc3b09e69a5b3d3ea49