Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
As of 7 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2210.14044.
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 2026-08-07T06:34:17.273281+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-07-12T15:18:09.444513Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-07-02T01:16:24.882464Z
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 417e06cc-98ee-4456-8da8-305bb36703e8 · inbound
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures cites this paper.
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
Reference 25
- Resolution
- verified exact
- arxiv_id, observed 2026-07-02T01:16:24.884007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.
Observation ccae6318-4263-4610-883e-9fae0d4aadcf · inbound
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures cites this paper.
Data-Driven Forecasting of three-Component Seismograms Using Transformer Architectures SeismicNet: Physics-informed neural networks for seismic wave modeling in semi-infinite domain
Reference 25
- Resolution
- unresolved
- no resolver link, observed 2026-07-12T15:18:09.444513Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.