Pith. sign in

Paper Citation Record · LEDGER

Robust Prediction of Frictional Contact Network in Near-Jamming Suspensions Employing Deep Graph Neural Networks

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2502.18743.

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

pith.paper-citation-record.v1
2502.18743 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 3 of 3 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T13:07:05.301955Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T20:00:08.431478Z

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 780435ed-c070-4727-8e90-a6c0a186272c · inbound

Frictional Contact Network in Dense Suspension Flow cites this paper.

Frictional Contact Network in Dense Suspension Flow Robust Prediction of Frictional Contact Network in Near-Jamming Suspensions Employing Deep Graph Neural Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-07T13:07:05.301955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T13:07:05.301955Z digest=sha256:c1042cbe67c073c18b16a97164d465e20a51984a2f6113b1f22595c2bd302c75

Observation 0d006b33-ed03-4e8e-89f6-c8064535ac5b · inbound

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions cites this paper.

Quick starch guide: A perspective on shear thickening in dense non-Brownian suspensions Robust Prediction of Frictional Contact Network in Near-Jamming Suspensions Employing Deep Graph Neural Networks

Reference 148

Resolution
unresolved
no resolver link, observed 2026-08-07T01:07:31.466468Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T01:07:31.466468Z digest=sha256:a69c834e881f37d5bbd42e4aa83b3f186245680afc9ea5fca2d701701001edad

Observation 86fdcff7-eb53-4d9d-b0ac-f21245c87e97 · inbound

VesNet: Neural network accelerated solver for simulating Stokesian vesicle suspensions cites this paper.

VesNet: Neural network accelerated solver for simulating Stokesian vesicle suspensions Robust Prediction of Frictional Contact Network in Near-Jamming Suspensions Employing Deep Graph Neural Networks

Reference 220

Resolution
verified exact
arxiv_id, observed 2026-07-04T20:00:08.433143Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-06-25T20:52:14.575101Z digest=sha256:3986fd3a3ab426274812907084dd69d2097e938eb18f283c09cac0e3d5e1cbcd