Pith. sign in

Paper Citation Record · LEDGER

Learning phase field mean curvature flows with neural networks

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2112.07343.

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

pith.paper-citation-record.v1
2112.07343 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T22:40:09.336720Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-05T22:40:13.430971Z

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 82371950-8284-461e-b292-f9206c3ba5e2 · inbound

Variational volume reconstruction with the Deep Ritz Method cites this paper.

Variational volume reconstruction with the Deep Ritz Method Learning phase field mean curvature flows with neural networks

Reference 5

Resolution
verified exact
local_arxiv, observed 2026-08-05T22:40:13.435799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-05T22:40:09.336720Z digest=sha256:0274a296af76a7d3b21d13f5d15ea20bb1018a0b5dbaac16e0e2c9df76c6e57d

Observation d8f0a251-618d-4373-a013-73dc81171422 · inbound

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization cites this paper.

Learning Gradient Flow: Using Equation Discovery to Accelerate Engineering Optimization Learning phase field mean curvature flows with neural networks

Reference 11

Resolution
unresolved
no resolver link, observed 2026-08-02T23:34:42.406524Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T23:34:42.406524Z digest=sha256:6c2e10accfd786889ba6e3ea67b5edd1876899df3d0d17a943677bd1f0a69e02