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Paper Citation Record · LEDGER

GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2211.10228.

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

pith.paper-citation-record.v1
2211.10228 v1

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 2026-08-07T14:29:34.049690Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T00:27:29.479417Z

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 a48eae47-c949-4699-a783-5c9f8be08d5b · inbound

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time cites this paper.

Hybrid Neural-MPM for Interactive Fluid Simulations in Real-Time GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Reference 19

Resolution
unresolved
no resolver link, observed 2026-08-07T14:29:34.049690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T14:29:34.049690Z digest=sha256:f1677d7908fff910b4f9f092746990d014c9a096a6811d59dc7614114608474d

Observation 44bbf024-0dac-4837-adb7-550c5e2a1b29 · inbound

Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments cites this paper.

Physics-Informed Graph Neural Network Surrogates for Turbulent Nanoparticle Dispersion in Dental Clinical Environments GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Reference 75

Resolution
verified exact
arxiv_id, observed 2026-05-20T06:43:05.830337Z

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=2026-05-20T06:41:00.221910Z digest=sha256:11184cc9ad7eea1ae8da246c69d8bcd4dd907f323ecbde1acd7255a541fcebb2

Observation 7c825800-2b5e-4ee5-a90f-2eddf8534a29 · inbound

OnlyDense: Reduced-Order Modeling for Lagrangian simulation cites this paper.

OnlyDense: Reduced-Order Modeling for Lagrangian simulation GNS: A generalizable Graph Neural Network-based simulator for particulate and fluid modeling

Reference 13

Resolution
verified exact
arxiv_id, observed 2026-07-03T00:27:29.481017Z

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=pdf_text observed=2026-06-27T17:14:16.160664Z digest=sha256:b38c385ad086eba1ba629e378041192478919d00297060f9fec0b89a41117395