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Paper Citation Record · LEDGER

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$

As of 9 August 2026, this Paper Citation Record lists 66 of 66 outbound references and 0 inbound Pith citation observations for arXiv:2607.23914.

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

pith.paper-citation-record.v1
2607.23914 v2

Coverage vector

measured 66 of 66 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-31T23:51:54.640467Z

measured 66 of 66 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

66 of 66 outbound references displayed

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External citation measurements

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Outbound references

Observation b0b8af9e-aed3-465a-a426-3b0a949ef685 · outbound

This paper cites High-dimensional analysis of semidefinite relaxations for sparse principal components.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ High-dimensional analysis of semidefinite relaxations for sparse principal components

Reference 1

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Observation b674c03f-c34b-441f-97c8-9432d1a5a338 · outbound

This paper cites Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Phase transition of the largest eigenvalue for nonnull complex sample covariance matrices

Reference 2

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Observation a2eee7ec-be32-4ef0-9fcc-83847335aa14 · outbound

This paper cites Online stochastic gradient descent on non-convex losses from high-dimensional inference.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Online stochastic gradient descent on non-convex losses from high-dimensional inference

Reference 3

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Observation afa976dd-fdf6-421a-835a-0729fa28c965 · outbound

This paper cites High-dimensional limit theorems for sgd: Effective dynamics and critical scaling.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ High-dimensional limit theorems for sgd: Effective dynamics and critical scaling

Reference 4

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Observation dc8fc36d-09db-43e5-8cc9-c80063ed85bb · outbound

This paper cites The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The eigenvalues and eigenvectors of finite, low rank perturbations of large random matrices

Reference 5

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Observation 19e5fe4c-7e3e-4a46-93a9-8d37b1505f9a · outbound

This paper cites The singular values and vectors of low rank perturbations of large rectangular random matrices.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The singular values and vectors of low rank perturbations of large rectangular random matrices

Reference 6

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Observation 0187499e-55cf-4161-88cc-3875f7baa350 · outbound

This paper cites Probability and measure.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Probability and measure

Reference 7

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Observation 10551537-7166-41a3-b906-5e959990db1d · outbound

This paper cites Online principal components analysis.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Online principal components analysis

Reference 8

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Observation 04d0542a-86ab-4e68-bbed-9a9b68f4f004 · outbound

This paper cites Online principal component analysis in high dimension: Which algorithm to choose? International Statistical Review, 86 0 (1): 0 29--50, 2018.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Online principal component analysis in high dimension: Which algorithm to choose? International Statistical Review, 86 0 (1): 0 29--50, 2018

Reference 9

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Observation 2b2747ce-889f-43e5-881c-dd38f225b33f · outbound

This paper cites Information-theoretically optimal sparse pca.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Information-theoretically optimal sparse pca

Reference 10

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Observation 580c2290-a8c5-4452-af62-c44c60edfc2c · outbound

This paper cites Sparse pca via covariance thresholding.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Sparse pca via covariance thresholding

Reference 11

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Observation 92f9873b-4bba-4276-b33d-806e51aebacf · outbound

This paper cites Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Observed universality of phase transitions in high-dimensional geometry, with implications for modern data analysis and signal processing

Reference 12

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Observation a56a40bd-52d5-4f0b-a5ed-608935469798 · outbound

This paper cites Streaming pca: Matching matrix bernstein and near-optimal finite sample guarantees for oja’s algorithm.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Streaming pca: Matching matrix bernstein and near-optimal finite sample guarantees for oja’s algorithm

Reference 15

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source=arxiv_source observed=2026-07-31T23:51:48.680265Z digest=sha256:ef9dd068d28716cb925751daddaae44affe181171cb5208c258e1a434c45a659

Observation 50ff4e34-6843-4a40-8bd0-b646fda21913 · outbound

This paper cites On the distribution of the largest eigenvalue in principal components analysis.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ On the distribution of the largest eigenvalue in principal components analysis

Reference 16

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Observation e12396a2-cbb3-431a-ab87-8848ff47efed · outbound

This paper cites On consistency and sparsity for principal components analysis in high dimensions.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ On consistency and sparsity for principal components analysis in high dimensions

Reference 17

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Observation 61120724-ccbe-4e9d-9185-39c793d41048 · outbound

This paper cites Pca in high dimensions: An orientation.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Pca in high dimensions: An orientation

Reference 18

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Observation 00393bea-41b1-42ef-b08d-902bd4642186 · outbound

This paper cites Method of stochastic approximation in the determination of the largest eigenvalue of the mathematical expectation of random matrices.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Method of stochastic approximation in the determination of the largest eigenvalue of the mathematical expectation of random matrices

Reference 19

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source=arxiv_source observed=2026-07-31T23:51:49.190744Z digest=sha256:2f5b9fa661ed65fd3d2f7291d218f5b8f0924f3896d940dbca6ab42f53152718

Observation 510d0a00-6469-4cfe-8b82-b77c7ed72008 · outbound

This paper cites Streaming pca for markovian data.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Streaming pca for markovian data

Reference 20

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Observation 8b7c908d-7b00-4207-a1b7-b77240ac51df · outbound

This paper cites Diffusion approximations for online principal component estimation and global convergence.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Diffusion approximations for online principal component estimation and global convergence

Reference 22

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Observation 0975ad58-5c91-4725-9a62-641113b3efd8 · outbound

This paper cites Bootstrapping the error of oja's algorithm.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Bootstrapping the error of oja's algorithm

Reference 24

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Observation 2b339a44-7ff0-42c8-929d-0b3c8f3ca793 · outbound

This paper cites Multivariate analysis.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Multivariate analysis

Reference 25

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Observation b2f47255-f910-4a63-afef-44e18708a6ad · outbound

This paper cites Estimation of low-rank matrices via approximate message passing.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Estimation of low-rank matrices via approximate message passing

Reference 26

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Observation d33440f3-9f07-49e0-80c8-e25158f58e27 · outbound

This paper cites Online pca with optimal regret.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Online pca with optimal regret

Reference 27

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Observation e6a7a814-91f2-47da-be8d-cbda26345037 · outbound

This paper cites Simplified neuron model as a principal component analyzer.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Simplified neuron model as a principal component analyzer

Reference 28

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Observation b8660123-eadd-479a-bf8b-915fa59ff6e7 · outbound

This paper cites On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ On stochastic approximation of the eigenvectors and eigenvalues of the expectation of a random matrix

Reference 29

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Observation 0e425cd0-24af-4c10-978d-e53b4aa01fab · outbound

This paper cites Optimality and sub-optimality of pca i: Spiked random matrix models.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Optimality and sub-optimality of pca i: Spiked random matrix models

Reference 30

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Observation d7dede3e-2324-4f64-8568-6cd96514e842 · outbound

This paper cites An introduction to ordinary differential equations.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ An introduction to ordinary differential equations

Reference 32

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Observation ce0eff6a-2e72-4052-8044-44838f8d705f · outbound

This paper cites Online learning for sparse pca in high dimensions: Exact dynamics and phase transitions.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Online learning for sparse pca in high dimensions: Exact dynamics and phase transitions

Reference 33

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Observation fa47e0f0-9f51-4bc4-b353-828073d8006b · outbound

This paper cites Randomized online pca algorithms with regret bounds that are logarithmic in the dimension.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Randomized online pca algorithms with regret bounds that are logarithmic in the dimension

Reference 35

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Observation 2297bb00-de37-43ca-9373-7d6ce8ac8123 · outbound

This paper cites The Annals of statistics , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The Annals of statistics , volume=

Reference 36

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Observation 94279ba8-4a46-4081-9f0a-0fbaa04c3a9d · outbound

This paper cites The Annals of Probability , number =.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The Annals of Probability , number =

Reference 37

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Observation 7e52347e-0882-405c-9701-ac1947f18e11 · outbound

This paper cites Advances in Mathematics , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Advances in Mathematics , volume=

Reference 38

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Observation ac98b505-7ac9-4dc6-acc3-4ad2476917dc · outbound

This paper cites Proceedings of the IEEE , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Proceedings of the IEEE , volume=

Reference 39

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Observation 31b53344-d986-45b4-8214-292d6e72cfbd · outbound

This paper cites Journal of mathematical biology , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of mathematical biology , volume=

Reference 40

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Observation 5ab414f0-ed0e-49c2-9849-9e0bbf137a4b · outbound

This paper cites Journal of mathematical analysis and applications , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of mathematical analysis and applications , volume=

Reference 41

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Observation 4d2a13f2-7e13-4803-a97d-5474331f634e · outbound

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The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2014 , publisher=

Reference 42

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Observation 6e4e65e3-f260-415e-8a14-160fbf310175 · outbound

This paper cites Lecture notes, University of Chicago Department of Statistics , year=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Lecture notes, University of Chicago Department of Statistics , year=

Reference 43

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source=arxiv_source observed=2026-07-31T23:51:51.930980Z digest=sha256:149d899f656ace944546934f11c37b9080da91c4558bd3c357acc9d648a14637

Observation 1730ba1e-a226-4279-9f58-1370a558ceb9 · outbound

This paper cites 2004 , publisher=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2004 , publisher=

Reference 44

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source=arxiv_source observed=2026-07-31T23:51:52.060141Z digest=sha256:db86ef96c118efc15ec8122c6c60ad2618816603e5339ebd8b36919779194871

Observation 409285fa-957d-45ea-8f54-97cb8ad58e29 · outbound

This paper cites 2024 , publisher=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2024 , publisher=

Reference 45

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no resolver link, observed 2026-07-31T23:51:52.138058Z

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source=arxiv_source observed=2026-07-31T23:51:52.138058Z digest=sha256:6eeb78f3fce9585a3d3ee8f78c91654772a0a2a3f2855d3dac00e6912059be3b

Observation d244d305-f579-48e1-bfbc-34c4311c876e · outbound

This paper cites Journal of Machine Learning Research , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of Machine Learning Research , volume=

Reference 46

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no resolver link, observed 2026-07-31T23:51:52.251013Z

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source=arxiv_source observed=2026-07-31T23:51:52.251013Z digest=sha256:a7af9c909a1855148550ef3bdf71bc89ee93ba4adb15e087dac6d948fe01c13c

Observation d8eda171-ee66-48f8-aaa3-9ac08376c727 · outbound

This paper cites Journal of Multivariate Analysis , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of Multivariate Analysis , volume=

Reference 47

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no resolver link, observed 2026-07-31T23:51:52.358557Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T23:51:52.358557Z digest=sha256:f3cf2fd77c939fbceea64eda46def73e2e6d2c380c05a006761288cc9b61d3fc

Observation 72c3a1e8-5ac3-492c-97bf-fb6066a717ff · outbound

This paper cites The Annals of Statistics , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The Annals of Statistics , volume=

Reference 48

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no resolver link, observed 2026-07-31T23:51:52.446749Z

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source=arxiv_source observed=2026-07-31T23:51:52.446749Z digest=sha256:46caefc869bce332849dc55f268fefb40fc4ee5c20a9ba3647e4d7603398aa5f

Observation ce28dd9e-af50-4499-bf5f-2e1930fa1059 · outbound

This paper cites 2016 IEEE Information Theory Workshop (ITW) , pages=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2016 IEEE Information Theory Workshop (ITW) , pages=

Reference 49

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no resolver link, observed 2026-07-31T23:51:52.510189Z

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source=arxiv_source observed=2026-07-31T23:51:52.510189Z digest=sha256:0f5ff24dc0475d3472745c32692f67f4b069f65af3e5b8924fd2353a48340122

Observation 39e877fd-f636-4ef2-831d-f7962f7d827b · outbound

This paper cites Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Scaling Limit: Exact and Tractable Analysis of Online Learning Algorithms with Applications to Regularized Regression and PCA

Reference 50

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no resolver link, observed 2026-07-31T23:51:52.572579Z

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source=arxiv_source observed=2026-07-31T23:51:52.572579Z digest=sha256:d73769741db5b0254b352f86f538ffc443f969cbfe4ca6b1690e93ff9a9dfa0e

Observation 6ab8a435-b0af-4389-80d1-7faa3391e076 · outbound

This paper cites Journal of the American Statistical Association , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of the American Statistical Association , volume=

Reference 51

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no resolver link, observed 2026-07-31T23:51:52.681924Z

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source=arxiv_source observed=2026-07-31T23:51:52.681924Z digest=sha256:594b58fd4d8af4b7e37e004490194f99b3f4911739aadb0bf7eda244530b84c9

Observation 77f64757-1771-41d5-8f60-f85714771136 · outbound

This paper cites Journal of Machine Learning Research , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of Machine Learning Research , volume=

Reference 52

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no resolver link, observed 2026-07-31T23:51:52.798403Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T23:51:52.798403Z digest=sha256:9356f533919b1c1b66ed2b33a71215bac72390c85675d5581d3cb1719febfb0f

Observation 7e77047c-e6af-45a9-94c3-e4ffffbe1215 · outbound

This paper cites 2014 IEEE International Symposium on Information Theory , pages=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2014 IEEE International Symposium on Information Theory , pages=

Reference 53

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no resolver link, observed 2026-07-31T23:51:52.900754Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T23:51:52.900754Z digest=sha256:89a2bb419fe827ec4a81f609c9a3c32dceff2ba72280184fbacd3590347ba678

Observation a47483c0-0194-4f63-a97c-c554e01b5477 · outbound

This paper cites 2008 IEEE international symposium on information theory , pages=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2008 IEEE international symposium on information theory , pages=

Reference 54

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no resolver link, observed 2026-07-31T23:51:53.003257Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T23:51:53.003257Z digest=sha256:1671a411b5b8abd98c0a574b8f670544387eafbb8782b13f55af3975e4451599

Observation f110fdf0-9565-4442-b5cc-53950cb7e6c6 · outbound

This paper cites The Annals of Statistics , number =.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ The Annals of Statistics , number =

Reference 55

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no resolver link, observed 2026-07-31T23:51:53.094198Z

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source=arxiv_source observed=2026-07-31T23:51:53.094198Z digest=sha256:f361c657a7e7452b49cfa774258fc03cb05e52ef942812d7b4a62ede96bc5b94

Observation 6e64083f-9eed-4eeb-a518-94a9e972334e · outbound

This paper cites Proceedings of the National Academy of Sciences , volume =.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Proceedings of the National Academy of Sciences , volume =

Reference 56

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no resolver link, observed 2026-07-31T23:51:53.185751Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:53.185751Z digest=sha256:3de32c7fd7aa1d9c63697f6f4915fc945c37503e3238205ed94d79b7fb5bf8a1

Observation 01bb1bbf-ccf5-4bb9-9790-a50f427d9de0 · outbound

This paper cites Automatation and remote control , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Automatation and remote control , volume=

Reference 57

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no resolver link, observed 2026-07-31T23:51:53.307834Z

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source=arxiv_source observed=2026-07-31T23:51:53.307834Z digest=sha256:1e3bdb40d92756590e79ec673e3f1366a7907a0991b534f44f6d05f543cf4ab9

Observation 9a1e3fcc-e7c5-45c2-a740-55f725ee00f1 · outbound

This paper cites Journal of Machine Learning Research , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of Machine Learning Research , volume=

Reference 58

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no resolver link, observed 2026-07-31T23:51:53.437562Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:53.437562Z digest=sha256:745ca1b9954047b3650780d227b17ecf297ac169f8ce1f348381dadbc35f6b13

Observation c6fba39d-fbf9-429a-ae2e-3949bc68fe64 · outbound

This paper cites Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms , pages=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Proceedings of the twenty-sixth annual ACM-SIAM symposium on Discrete algorithms , pages=

Reference 59

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no resolver link, observed 2026-07-31T23:51:53.527840Z

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source=arxiv_source observed=2026-07-31T23:51:53.527840Z digest=sha256:11ad409d1fdc98e047b94a1f53d36f51d8ace82ecd121c468ebe129cc45a233b

Observation 3477c949-8f40-4d61-9efe-0e668d95d3c7 · outbound

This paper cites Conference on learning theory , pages=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Conference on learning theory , pages=

Reference 60

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no resolver link, observed 2026-07-31T23:51:53.605616Z

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source=arxiv_source observed=2026-07-31T23:51:53.605616Z digest=sha256:0502fc83d586992f534c427da2a8fcec9bd886a2f782bc8987c13bc1731c7c46

Observation f1dadb20-de2a-485e-af77-160e827826a1 · outbound

This paper cites Journal of Machine Learning Research , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Journal of Machine Learning Research , volume=

Reference 61

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no resolver link, observed 2026-07-31T23:51:53.717514Z

Source-reported events for the cited work

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source=arxiv_source observed=2026-07-31T23:51:53.717514Z digest=sha256:d6c6be643238fefbefa15258c875ec447dc656ce1618facd8cde6c353a80dc7d

Observation 0d45758d-e0a7-4f3f-997a-a567ef4d6efd · outbound

This paper cites AdaOja: Adaptive Learning Rates for Streaming PCA.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ AdaOja: Adaptive Learning Rates for Streaming PCA

Reference 62

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no resolver link, observed 2026-07-31T23:51:53.816149Z

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source=arxiv_source observed=2026-07-31T23:51:53.816149Z digest=sha256:7b5b787b083e2d399876e87addbfe6b30d1dbd9cba6d5a3b327477d22246afa6

Observation 6d8f525b-8b96-4f4a-8da3-70c6d7cea9c3 · outbound

This paper cites Advances in neural information processing systems , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Advances in neural information processing systems , volume=

Reference 63

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no resolver link, observed 2026-07-31T23:51:53.939129Z

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source=arxiv_source observed=2026-07-31T23:51:53.939129Z digest=sha256:a4bf814f00602bb732ddfe870e19f1cccb5fa7adbf0875cf35a0f92b9309d7c4

Observation c74c17cf-9f27-49e5-8c45-d5b94148d773 · outbound

This paper cites International Statistical Review , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ International Statistical Review , volume=

Reference 64

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source=arxiv_source observed=2026-07-31T23:51:54.020558Z digest=sha256:e8b705dc48f1ba15dc6cdcb9df43ce01a2ff89daa17a66ee6b9c165e4b80d000

Observation fbef1746-b2f0-4516-9e9f-3572de9480a3 · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Advances in Neural Information Processing Systems , volume=

Reference 65

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no resolver link, observed 2026-07-31T23:51:54.112190Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.112190Z digest=sha256:fb28e72e34ec3ed6987ab9a301718b22ce5aacb65cee16dad8cbbcd17de6354a

Observation e3a1e577-2449-4e1d-93f7-910e36bc089a · outbound

This paper cites Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Beyond Sin-Squared Error: Linear-Time Entrywise Uncertainty Quantification for Streaming PCA

Reference 66

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no resolver link, observed 2026-07-31T23:51:54.186087Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.186087Z digest=sha256:0996c416ea55728a05d4ae6b370ad49f87a499031475fc3b8dd1b6dac34b3f7c

Observation 6a0c733d-7a17-44d6-b959-e3e4fc51c667 · outbound

This paper cites arXiv preprint arXiv:2511.18273 , year=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ arXiv preprint arXiv:2511.18273 , year=

Reference 67

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no resolver link, observed 2026-07-31T23:51:54.250423Z

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source=arxiv_source observed=2026-07-31T23:51:54.250423Z digest=sha256:3ed36a90e76510574f5dfd16711a773390e1621e369b56ed83b79870fb4100d4

Observation a4c59784-d427-48ac-a53a-518d81d41509 · outbound

This paper cites Advances in neural information processing systems , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Advances in neural information processing systems , volume=

Reference 68

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no resolver link, observed 2026-07-31T23:51:54.321719Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.321719Z digest=sha256:4c9c390b56fed01c8dc012852abfb984a4cbe2d1c7b576243f349b78d60a9e42

Observation f3add713-6266-49cb-9df5-1b04bc43ead6 · outbound

This paper cites arXiv preprint arXiv:2512.13634 , year=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ arXiv preprint arXiv:2512.13634 , year=

Reference 69

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no resolver link, observed 2026-07-31T23:51:54.429539Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.429539Z digest=sha256:cace6f55b4839d9e15e98cbab594e52ee5a89a407aaecbd476051e3b6285b40d

Observation 5be2af58-d68f-4255-ac08-a34675d5c7ea · outbound

This paper cites Advances in Neural Information Processing Systems , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Advances in Neural Information Processing Systems , volume=

Reference 70

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no resolver link, observed 2026-07-31T23:51:54.502197Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.502197Z digest=sha256:bf1357589001cd9c7d75fe62c4b8d705a713705ccac40360f6b064750dffe96b

Observation ec5ebae0-b344-4a01-bd8a-5a61afb9a789 · outbound

This paper cites 2017 , publisher=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ 2017 , publisher=

Reference 71

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no resolver link, observed 2026-07-31T23:51:54.582970Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.582970Z digest=sha256:d43083c4bd76657d3c56773945a6445b5d1fb0e624592657612d16382156ae88

Observation f11b76a6-44cc-4520-a55f-a67a61d53726 · outbound

This paper cites Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=.

The Phase Transition in Online PCA Depends on $n/d\log(d)$, not $n/d$ Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences , volume=

Reference 72

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no resolver link, observed 2026-07-31T23:51:54.640467Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T23:51:54.640467Z digest=sha256:08b5db5f4cb2192100c15b539d1992fc1f8431f7934dc0568c7e1ef55d38ef36

Pith citing papers

No inbound Pith citation observations are available.