Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-03T19:02:28.890312Z
Paper Citation Record · LEDGER
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting
As of 12 August 2026, this Paper Citation Record lists 12 of 12 outbound references and 1 inbound Pith citation observation for arXiv:2512.02866.
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 2026-08-12T06:34:41.77262+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-06-27T23:11:05.443406Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Reference resolution
12 of 12 outbound references displayed
- verified exact0
- verified fuzzy0
- unresolved12
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Outbound references
Observation ac14b4cc-0dba-4e3f-9731-9972fe86d83d · outbound
This paper cites In particular, the top eigen- pair (λ max(B(w)), vmax(w)) isC 1 on Ω, which impliesθ(w) = 1−λ max(B(w)) is also C1.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting In particular, the top eigen- pair (λ max(B(w)), vmax(w)) isC 1 on Ω, which impliesθ(w) = 1−λ max(B(w)) is also C1
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.476611Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation bcc325e8-0510-483b-953a-272abdf42963 · outbound
This paper cites D1 0 D3 D2 #.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting D1 0 D3 D2 #
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.260049Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 5064d6ac-569c-4aea-b639-57800c19813a · outbound
This paper cites Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:27.783190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation e6e7d2e4-f789-4a0f-9afb-09bbc27cd34b · outbound
This paper cites V ⊤ k W ⊤ k # h V k W k i , and also noticeU ⊤ ¯U k = h I0 i , and ¯U ⊤ k U ⊥ =.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting V ⊤ k W ⊤ k # h V k W k i , and also noticeU ⊤ ¯U k = h I0 i , and ¯U ⊤ k U ⊥ =
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.105970Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6e6f8239-1f52-4793-a479-b2a52e18cfc3 · outbound
This paper cites Gk1 Gk2 H k1 H k2 # =.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Gk1 Gk2 H k1 H k2 # =
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.679255Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 7b66be45-b9b9-4665-95a6-a0ca729ad001 · outbound
This paper cites Lemma 14.LetX∈R m×n be a random matrix whose entriesX ij are independent mean- zero sub-gaussian random variables.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Lemma 14.LetX∈R m×n be a random matrix whose entriesX ij are independent mean- zero sub-gaussian random variables
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.890312Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 31bc0119-4ddc-4156-b507-500796ba333b · outbound
This paper cites A spectral method for multi-view subspace learning using the product of projections.
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 43c6e754-da5f-4c6f-914b-bbc591a90e1e · outbound
This paper cites Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Federated PCA and Estimation for Spiked Covariance Matrices: Optimal Rates and Efficient Algorithm
Reference 2013
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:27.699052Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 290595b3-1f1a-4e5c-9c30-64a3a6098c1e · outbound
This paper cites HeteroJIVE: Joint Subspace Estimation for Heterogeneous Multi-View Data.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting HeteroJIVE: Joint Subspace Estimation for Heterogeneous Multi-View Data
Reference 2015
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.082169Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26e6df62-8a21-405b-a739-fa21d82f2e21 · outbound
This paper cites Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Stacked SVD or SVD stacked? A Random Matrix Theory perspective on data integration
Reference 2021
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:27.653620Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b987e8a0-bda1-46ea-a439-646f2a0b19dc · outbound
This paper cites Limit results for distributed estimation of invariant sub- spaces in multiple networks inference and pca.arXiv preprint arXiv:2206.04306,.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Limit results for distributed estimation of invariant sub- spaces in multiple networks inference and pca.arXiv preprint arXiv:2206.04306,
Reference 2022
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:28.057244Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 83082cdc-f666-43c5-b074-a7904a7239fe · outbound
This paper cites Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices.
Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices
Reference 2024
- Resolution
- unresolved
- no resolver link, observed 2026-08-03T19:02:27.962581Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Pith citing papers
Observation b3e1a42a-5c1a-4a4d-ac10-97133e687e6a · inbound
Statistically and Computationally Optimal Estimation and Inference of Common Subspaces cites this paper.
Statistically and Computationally Optimal Estimation and Inference of Common Subspaces Spectral Joint Subspace Estimation for Heterogeneous Multi-View Data: Geometry and Reweighting
Reference 105
- Resolution
- verified exact
- arxiv_id, observed 2026-08-03T02:10:59.504313Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.