Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
Low-cost singular value decomposition with optimal sensor placement
As of 17 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 3 inbound Pith citation observations for arXiv:2311.09791.
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 2026-08-16T10:33:07.363010Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-10T05:30:23.456663Z
Reference resolution
0 of 0 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved0
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
5
pith, observed 2026-08-10T05:30:23.456663Z
Outbound references
No outbound reference observations are available for this paper version.
Pith citing papers
Observation fd1d8e81-26a1-44e2-84d0-36d2a894b3ee · inbound
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements cites this paper.
LC-SVD-DLinear: A low-cost physics-based hybrid machine learning model for data forecasting using sparse measurements Low-cost singular value decomposition with optimal sensor placement
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:12:25.460150Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83936736-eb96-4c99-bdc1-3fe895860fef · inbound
HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics cites this paper.
HOSVD-SR: A Physics-Based Deep Learning Framework for Super-Resolution in Fluid Dynamics Low-cost singular value decomposition with optimal sensor placement
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-16T10:33:07.363010Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d557dc02-d66d-4849-bee1-1b24a456d325 · inbound
Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics cites this paper.
Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics Low-cost singular value decomposition with optimal sensor placement
Reference 21
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T21:18:41.747351Z
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.