Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
As of 19 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 4 inbound Pith citation observations for arXiv:1910.13532.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-19T06:32:44.657259+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:33.425197Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
0 of 0 outbound references displayed
External citation measurements
36
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
No outbound reference observations are available for this paper version.
Observation cbfad137-a6bb-47e0-aa45-75d6b5d88d43 · inbound
MeshMask: Physics-Based Simulations with Masked Graph Neural Networks U-net architectures for fast prediction of incompressible laminar flows
Reference 2019
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 299ed472-087d-4f9c-8dc6-79bd37805d3a · inbound
Mesh Based Simulations with Spatial and Temporal awareness U-net architectures for fast prediction of incompressible laminar flows
Reference 45
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 27d6bf5e-9989-4597-a739-d2f6d48b62db · inbound
Physics-Informed Coarsening for Multigrid Graph Neural Surrogates U-net architectures for fast prediction of incompressible laminar flows
Reference 3
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.
Observation 874e9b03-eec7-499e-8b70-78699bdaf043 · inbound
CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws U-net architectures for fast prediction of incompressible laminar flows
Reference 13
Source-reported events for the cited work
Unavailable: canonical work link unavailable.