Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks
As of 23 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2309.02589.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-03T00:42:03.494169Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-01T16:55:50.617150Z
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 4ef99e6c-7e18-4182-b223-1818e002f566 · inbound
Minimal surfaces, Knots, and Neural Networks cites this paper.
Minimal surfaces, Knots, and Neural Networks Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks
Reference 45
- Resolution
- verified exact
- arxiv_id, observed 2026-07-01T16:55:50.618879Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5cacd16c-d6aa-4d4f-94ac-d000a55d969f · inbound
Neural Representation of Minimal Surfaces cites this paper.
Neural Representation of Minimal Surfaces Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks
Reference 21
- Resolution
- unresolved
- no resolver link, observed 2026-07-30T22:08:56.470482Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7f48bec9-e941-4c8a-829b-390eafce3cf4 · inbound
A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem cites this paper.
A user's guide to PINNs in geometric analysis: lessons from the asymptotic Plateau problem Approximating High-Dimensional Minimal Surfaces with Physics-Informed Neural Networks
Reference 22
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T00:42:03.494169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.