Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 1 inbound Pith citation observation for arXiv:2110.05445.
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 2026-08-17T06:30:58.91139+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-10T22:19:39.920487Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T22:19:40.040396Z
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 52d5954b-4e83-4900-8c97-b7639501693e · inbound
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks cites this paper.
Modeling COVID-19 spread in the USA using metapopulation SIR models coupled with graph convolutional neural networks Data-driven approaches for predicting spread of infectious diseases through DINNs: Disease Informed Neural Networks
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-10T22:19:40.050916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.