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Paper Citation Record · LEDGER

Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

As of 6 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2104.06010.

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

pith.paper-citation-record.v1
2104.06010 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 2026-08-05T06:32:48.257954+00:00

measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T05:34:26.003528Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-08T16:55:08.386312Z

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 ea095ac8-8833-4768-b46b-06b4a5152441 · inbound

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates cites this paper.

FluxNet: Learning Capacity-Constrained Local Transport Operators for Conservative and Bounded PDE Surrogates Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-03T05:34:26.003528Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-03T05:34:26.003528Z digest=sha256:68064d232b73fb217065bd16a072fb2e67a02656408497968a6a135be8308e41

Observation c7567f12-921d-4931-b8c2-bf19dcffaddb · inbound

Mass-Conserving Physics-Informed Neural Networks For The One-Dimensional Advection-Diffusion Equation cites this paper.

Mass-Conserving Physics-Informed Neural Networks For The One-Dimensional Advection-Diffusion Equation Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Reference 24

Resolution
metadata mismatch
local_arxiv, observed 2026-07-08T16:55:08.387542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

source=pdf_text observed=2026-07-08T16:51:40.082489Z digest=sha256:ffc6a4d7312912d55a3c92898624033a7b50ade8babb87d2669dd80b72887cd8

Observation 8b38814c-a9c1-4747-a890-cb9bd2bb08a2 · inbound

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields cites this paper.

Label-Free Finite-Volume-Residual Training of Attention Graph Neural Networks for Coupled Thermo-Fluid Fields Finite Volume Neural Network: Modeling Subsurface Contaminant Transport

Reference 30

Resolution
unresolved
no resolver link, observed 2026-08-01T10:13:40.853760Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T10:13:40.853760Z digest=sha256:518d62a79bb188a8b137d0865905c2f3c3bfd99de41d5a4f8d34b6cd7f7f2cc8