Paper Citation Record · LEDGER

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

As of 17 August 2026, this Paper Citation Record lists 29 of 29 outbound references and 9 inbound Pith citation observations for arXiv:2501.09336.

A citation records a reference. It does not transfer a finding from one paper to another.

pith.paper-citation-record.v1
2501.09336 v2

Coverage vector

measured 29 of 29 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T20:12:54.047307Z

measured 38 of 38 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-15T15:06:08.831733Z

measured 1 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

29 of 29 outbound references displayed

verified exact1
verified fuzzy22
unresolved6
parse uncertain0
malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 69bb508d-a054-4246-9e47-44dad14f9e3d · outbound

This paper cites Spectral methods for data science: A statistical perspective.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Spectral methods for data science: A statistical perspective

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.763517Z

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.

Observation 76df8573-203f-4bd7-97cb-9406e78a2fed · outbound

This paper cites Vincent Poor, and Yuxin Chen.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Vincent Poor, and Yuxin Chen

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.742577Z

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.

Observation dd348f25-6142-4644-b532-a0a2eadf278e · outbound

This paper cites Tony Cai, Zongming Ma, and Yihong Wu.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Tony Cai, Zongming Ma, and Yihong Wu

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.724907Z

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.

Observation 9927aca6-7df7-4e56-8345-33ba7db01583 · outbound

This paper cites Tony Cai and Anru Zhang.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Tony Cai and Anru Zhang

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.704843Z

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.

Observation 2d21b56a-75c8-429b-9892-a8c89d5b84ce · outbound

This paper cites Detection limits in the high-dimensional spiked rectangular model.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Detection limits in the high-dimensional spiked rectangular model

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.664218Z

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.

Observation fa2f5ba6-45cd-4df5-b943-22328aed1eb4 · outbound

This paper cites Angle-based joint and individual variation explained.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Angle-based joint and individual variation explained

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.647415Z

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.

Observation 92af1363-bb96-4146-b931-a2dae20fae17 · outbound

This paper cites Distributed estimation of principal eigenspaces.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Distributed estimation of principal eigenspaces

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.631984Z

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.

Observation f5569ee1-5563-4863-97ac-51eb7113ba82 · outbound

This paper cites Structural learning and integrative decomposition of multi-view data.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Structural learning and integrative decomposition of multi-view data

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.616594Z

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.

Observation 006a48ed-b17d-4fb5-9b4b-96a24ab2455c · outbound

This paper cites Covariate-driven factorization by thresholding for multiblock data.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Covariate-driven factorization by thresholding for multiblock data

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.602590Z

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.

Observation 627398e6-af42-4e72-8130-08ec57992dd9 · outbound

This paper cites On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices On a formula for the product-moment coefficient of any order of a normal frequency distribution in any number of variables

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.587732Z

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.

Observation b412c692-04dd-4c76-b41d-c1d71255547a · outbound

This paper cites Information and coding theory.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Information and coding theory

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.572266Z

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.

Observation 0faf55c2-9afa-47d2-b94b-0a976bb44ef8 · outbound

This paper cites The incidental parameter problem since 1948.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices The incidental parameter problem since 1948

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.559318Z

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.

Observation 05b1c3ed-fc20-447f-b9a3-03f5225dde65 · outbound

This paper cites Joint and individual variation explained ( JIVE ) for integrated analysis of multiple data types.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Joint and individual variation explained ( JIVE ) for integrated analysis of multiple data types

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.545961Z

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.

Observation 0331b1d8-983e-473f-907d-79e37bc48f1c · outbound

This paper cites an unresolved cited work.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Unresolved cited work

Reference 14

Resolution: unresolved; raw_fallback, observed 2026-08-10T20:12:54.530602Z

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.

Observation 7c6b740e-9811-49ab-9fb0-b225f9e78864 · outbound

This paper cites Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Optimal Estimation of Shared Singular Subspaces across Multiple Noisy Matrices

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:53.962964Z

Source-reported events for the cited work

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Observation 12978f7c-05c8-4009-a744-c4a62978f7c8 · outbound

This paper cites Consistent estimates based on partially consistent observations.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Consistent estimates based on partially consistent observations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.516911Z

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.

Observation 1c1c0119-b755-4822-8b13-499bb9acc233 · outbound

This paper cites Fourth-order properties of normally distributed random matrices.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Fourth-order properties of normally distributed random matrices

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.499440Z

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.

Observation 14ef5564-ac09-4d3d-8e59-9d660331110f · outbound

This paper cites Data integration via analysis of subspaces ( DIVAS ).

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Data integration via analysis of subspaces ( DIVAS )

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.484377Z

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.

Observation 92af24f6-01c6-45f1-87ab-0bbd8f9b83d6 · outbound

This paper cites RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices RaJIVE: Robust Angle Based JIVE for Integrating Noisy Multi-Source Data

Reference 19

Resolution: verified exact; local_arxiv, observed 2026-08-10T20:12:54.332795Z

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.

Observation 36f32722-2104-47f8-b461-7210a57fa057 · outbound

This paper cites Triple component matrix factorization: Untangling global, local, and noisy components.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Triple component matrix factorization: Untangling global, local, and noisy components

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.467058Z

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.

Observation a05ae711-37f7-4d09-ac57-414fc67f2b8e · outbound

This paper cites Personalized PCA : Decoupling shared and unique features.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Personalized PCA : Decoupling shared and unique features

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.452401Z

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.

Observation 7772ac74-ed13-4f29-960d-f0dd838e0b92 · outbound

This paper cites Heterogeneous Matrix Factorization: When Features Differ by Datasets.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Heterogeneous Matrix Factorization: When Features Differ by Datasets

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:54.000118Z

Source-reported events for the cited work

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Observation c096f2bf-54d9-452f-ab0e-537c58778333 · outbound

This paper cites A spectral method for multi-view subspace learning using the product of projections.

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 a8d263e4-bf50-4694-b039-fc94b6b15d66 · outbound

This paper cites High-dimensional probability: An introduction with applications in data science , volume 47.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices High-dimensional probability: An introduction with applications in data science , volume 47

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:54.014100Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b784c5c2-1c52-4ab9-ad1d-5e1200dfd1f0 · outbound

This paper cites Perturbation theory for pseudo-inverses.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Perturbation theory for pseudo-inverses

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.422332Z

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.

Observation 616d9059-7f8b-493e-b423-879ac994d32b · outbound

This paper cites Normal approximation and confidence region of singular subspaces.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Normal approximation and confidence region of singular subspaces

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.408125Z

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.

Observation f4202637-1d88-413e-a112-789cfc6dec2c · outbound

This paper cites Assouad, F ano, and L e C am.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Assouad, F ano, and L e C am

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.387439Z

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.

Observation fed184a7-89c2-49ca-b3eb-49c773850231 · outbound

This paper cites Group component analysis for multiblock data: Common and individual feature extraction.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Group component analysis for multiblock data: Common and individual feature extraction

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-10T20:12:54.369494Z

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.

Observation db7ca027-870a-4e48-b320-60648d1dbf7f · outbound

This paper cites Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA.

Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices Limit results for distributed estimation of invariant subspaces in multiple networks inference and PCA

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-10T20:12:54.047307Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 624e8f3b-cf4a-4ec7-a56d-99a62ec1d567 · 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 Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T12:15:29.045601Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9906e1a0-cfd9-4654-9f3d-f73215e3e662 · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 13

Resolution: verified exact; arxiv_id, observed 2026-05-18T18:31:44.051574Z

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.

Observation 5d925c0e-360d-41c1-b53c-035a941c9fcc · inbound

A functional tensor model for dynamic multilayer networks with common invariant subspaces and the RKHS estimation cites this paper.

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-05T05:35:15.177522Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83082cdc-f666-43c5-b074-a7904a7239fe · 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 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.

Observation e53b7a83-ad94-4dd0-a0bc-ec5634835231 · inbound

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces cites this paper.

Statistically and Computationally Optimal Estimation and Inference of Common Subspaces Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-06-27T23:11:22.730180Z

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.

Observation 4733182a-428d-45b6-a7b9-b2b377bad55d · inbound

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records cites this paper.

Enhancing Spectral Embedding through Robust and Flexible Knowledge Transfer in Electronic Health Records Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 59

Resolution: metadata mismatch; arxiv_id, observed 2026-07-03T12:58:08.642656Z

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.

Observation c395e63d-5d5c-4ec4-993b-70680c41ef94 · inbound

Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS cites this paper.

Unveiling Invariant and Transferable Latent Factors Across Heterogeneous Environments via ATLAS Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 71

Resolution: unresolved; no resolver link, observed 2026-08-01T15:46:35.747882Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3314d95c-ca82-455a-b453-1237ff329649 · inbound

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data cites this paper.

Transfer Learning in High-Dimensional Clustering: Minimax Thresholds and Applications in Single-Cell Data Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 62

Resolution: unresolved; no resolver link, observed 2026-07-31T03:15:47.986731Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e31deaa0-d0ef-4b68-9d21-0dcfe09b218f · inbound

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing cites this paper.

DAIF: A Data-Driven Intermediate Fusion Framework for Multimodal Supervised Learning via Approximate Message Passing Estimating shared subspace with AJIVE: the power and limitation of multiple data matrices

Reference 75

Resolution: unresolved; no resolver link, observed 2026-08-15T15:06:08.831733Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.