Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2405.08537.
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 2026-08-13T06:32:02.005865+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-11T17:55:57.526012Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T20:40:59.986994Z
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 a9a54b32-73b9-4ba4-8231-786a00a0831d · inbound
Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation cites this paper.
Climate Aware Deep Neural Networks (CADNN) for Wind Power Simulation GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T17:55:57.526012Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4677de0c-5630-481e-92a2-d727cc4073c4 · inbound
Adaptive Collocation Point Strategies For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method cites this paper.
Adaptive Collocation Point Strategies For Physics Informed Neural Networks via the QR Discrete Empirical Interpolation Method GS-PINN: Greedy Sampling for Parameter Estimation in Partial Differential Equations
Reference 23
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T20:40:59.993994Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.