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Paper Citation Record · LEDGER

U-net architectures for fast prediction of incompressible laminar flows

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.

pith.paper-citation-record.v1
1910.13532 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 2026-08-19T06:32:44.657259+00:00

measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:24:33.425197Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, 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

36
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cbfad137-a6bb-47e0-aa45-75d6b5d88d43 · inbound

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks cites this paper.

MeshMask: Physics-Based Simulations with Masked Graph Neural Networks U-net architectures for fast prediction of incompressible laminar flows

Reference 2019

Resolution
unresolved
no resolver link, observed 2026-08-10T20:24:33.425197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-10T20:24:33.425197Z digest=sha256:d0d1226ad884294549c8ac6c9442e9e82de8a025c4267ec144bf8b08d43b7f42

Observation 299ed472-087d-4f9c-8dc6-79bd37805d3a · inbound

Mesh Based Simulations with Spatial and Temporal awareness cites this paper.

Mesh Based Simulations with Spatial and Temporal awareness U-net architectures for fast prediction of incompressible laminar flows

Reference 45

Resolution
verified exact
arxiv_id, observed 2026-05-09T22:13:58.464530Z

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.

source=arxiv_source observed=2026-05-09T15:00:51.468683Z digest=sha256:2c21d7815f4a60d962aa31ca7068acbb1e3af3195581809c993e0e9914f20490

Observation 27d6bf5e-9989-4597-a739-d2f6d48b62db · inbound

Physics-Informed Coarsening for Multigrid Graph Neural Surrogates cites this paper.

Physics-Informed Coarsening for Multigrid Graph Neural Surrogates U-net architectures for fast prediction of incompressible laminar flows

Reference 3

Resolution
metadata mismatch
arxiv_id, observed 2026-06-29T00:02:50.439690Z

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.

source=pdf_text observed=2026-06-28T23:16:04.007349Z digest=sha256:1e75f6c0351c2b253f6ea9075b9285e43e955791b3aadfdfb5205cdd404c197e

Observation 874e9b03-eec7-499e-8b70-78699bdaf043 · inbound

CoFINN: Conservation Flux Informed Neural Networks for Physics Problems Governed by Conservation Laws cites this paper.

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

Resolution
unresolved
no resolver link, observed 2026-07-11T19:51:56.544026Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-11T19:51:56.544026Z digest=sha256:eec21cabaa8496b026a004f1a428171edd7eea445194f71c839beeb496303d16