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Paper Citation Record · LEDGER

Weak Adversarial Networks for High-dimensional Partial Differential Equations

As of 15 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:1907.08272.

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

pith.paper-citation-record.v1
1907.08272 v3

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 2026-08-15T06:32:42.880941+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:36:52.862725Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T00:24:43.420442Z

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 c7154eeb-3736-4a5e-b4eb-bc69fcc4c45b · inbound

Universal Differential Equations for Scientific Machine Learning cites this paper.

Universal Differential Equations for Scientific Machine Learning Weak Adversarial Networks for High-dimensional Partial Differential Equations

Reference 76

Resolution
verified exact
arxiv_id, observed 2026-05-18T00:24:43.422913Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-15T06:32:42.880941+00:00.

source=pdf_text observed=2026-05-18T00:24:43.260892Z digest=sha256:1b2b681b79cfe10ea50e5a6e5038e545f4849c0d39137e186d2faab79af9f35d

Observation 5894fe3a-cdac-4cdb-a2a5-41bb69ca7f16 · inbound

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators cites this paper.

Stochastic Taylor Derivative Estimator: Efficient amortization for arbitrary differential operators Weak Adversarial Networks for High-dimensional Partial Differential Equations

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-12T11:36:52.862725Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T11:36:52.862725Z digest=sha256:34dba8ca249a1e79c81fa6a7bcd01e5e9c2e3d0375a643c1e73b78d9f73b8a69