Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Flood Prediction Using Classical and Quantum Machine Learning Models
As of 14 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2407.01001.
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 2026-08-12T11:30:37.867747Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-05-11T07:06:16.457014Z
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 0fd369a0-932d-454f-8b3e-4bfdbda60513 · inbound
Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region cites this paper.
Predicting Water Quality using Quantum Machine Learning: The Case of the Umgeni Catchment (U20A) Study Region Flood Prediction Using Classical and Quantum Machine Learning Models
Reference 30
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T11:30:37.867747Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a1365fe3-90ce-4084-95e6-bf02278d0726 · inbound
Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification cites this paper.
Variational Quantum Physics-Informed Neural Networks for Hydrological PDE-Constrained Learning with Inherent Uncertainty Quantification Flood Prediction Using Classical and Quantum Machine Learning Models
Reference 18
- Resolution
- verified exact
- arxiv_id, observed 2026-05-11T07:06:16.464938Z
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.