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Paper Citation Record · LEDGER

Learning rigid dynamics with face interaction graph networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:2212.03574.

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

pith.paper-citation-record.v1
2212.03574 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 2026-08-10T06:31:04.303077+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T18:44:49.091650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T13:29:51.722831Z

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 aba9b429-6df1-46f4-b115-1e50d85b4085 · inbound

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming cites this paper.

Recurrent U-Net-Based Graph Neural Network (RUGNN) for Accurate Deformation Predictions in Sheet Material Forming Learning rigid dynamics with face interaction graph networks

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-06T18:44:49.091650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T18:44:49.091650Z digest=sha256:253d483713e47da4b8cb7b5b308833294da2b210526202c2dd61950ba51d43b5

Observation 25b12d42-6aeb-43db-9e6d-51dbcbb05aa2 · inbound

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection cites this paper.

Graph Neural Network Surrogates for Contacting Deformable Bodies with Necessary and Sufficient Contact Detection Learning rigid dynamics with face interaction graph networks

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-06T16:31:00.376897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:31:00.376897Z digest=sha256:cab2ac322816cdce1b0e5bf282033431b0badd1fcd0969cc7036db1111929fd8

Observation 0d5d41bc-714a-4fe2-be8c-6168ffbb4534 · inbound

RigidFormer: Learning Rigid Dynamics using Transformers cites this paper.

RigidFormer: Learning Rigid Dynamics using Transformers Learning rigid dynamics with face interaction graph networks

Reference 1

Resolution
verified exact
arxiv_id, observed 2026-05-12T02:21:16.892748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-12T02:18:19.764706Z digest=sha256:d34f0de9546102e110233a89d4c4b8c8b006d869e941e40e9cd4c7372fbee9be

Observation fe31332e-9ae4-47f0-a13d-a1040e58d497 · inbound

PhysiFormer: Learning to Simulate Mechanics in World Space cites this paper.

PhysiFormer: Learning to Simulate Mechanics in World Space Learning rigid dynamics with face interaction graph networks

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-07-04T13:29:51.724666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-06-26T05:10:46.614793Z digest=sha256:7cf444ff19f6aa67d061033fb0dce7f19683011b5973f13cbe3c0e6bac390f4b