Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links
Paper Citation Record · LEDGER
A spectral method for multi-view subspace learning using the product of projections
As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2410.19125.
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 2026-08-12T15:41:29.487665Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-06T12:15:29.257215Z
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 4d6d039e-0223-4c3d-90ff-147fba087a8d · inbound
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices cites this paper.
Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices A spectral method for multi-view subspace learning using the product of projections
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T12:43:35.366529Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c096f2bf-54d9-452f-ab0e-537c58778333 · inbound
Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices cites this paper.
Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices A spectral method for multi-view subspace learning using the product of projections
Reference 23
- Resolution
- unresolved
- no resolver link, observed 2026-08-10T20:12:54.007851Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 72be7d73-4dc6-437f-bfad-b873a63f187a · inbound
Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration cites this paper.
Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration A spectral method for multi-view subspace learning using the product of projections
Reference 44
- Resolution
- verified exact
- local_arxiv, observed 2026-08-06T12:15:29.266015Z
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.
Observation 31bc0119-4ddc-4156-b507-500796ba333b · inbound
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting cites this paper.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting A spectral method for multi-view subspace learning using the product of projections
Reference 1976
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:27.889454Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 40e01388-bca1-48ee-b98f-99a8562bacab · inbound
FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data cites this paper.
FiGuRO: Intrinsic Dimension Estimation for Multi-Modal Data A spectral method for multi-view subspace learning using the product of projections
Reference 134
- Resolution
- unresolved
- no resolver link, observed 2026-08-12T15:41:29.487665Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.