Paper Citation Record · LEDGER

Decentralized Differentially Private Power Method

As of 8 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 0 inbound Pith citation observations for arXiv:2507.22849.

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

pith.paper-citation-record.v1
2507.22849 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T11:24:16.853928Z

measured 30 of 30 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

30 of 30 outbound references displayed

verified exact2
verified fuzzy23
unresolved5
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation d877dc45-611b-4fe0-9027-b20bf27fb0a0 · outbound

This paper cites The decentralized estimation of the sample covariance,.

Decentralized Differentially Private Power Method The decentralized estimation of the sample covariance,

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.866569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b8cc00f2-182f-4f3b-bba9-877b6cb57132 · outbound

This paper cites Incremental aggregated rieman- nian gradient method for distributed pca,.

Decentralized Differentially Private Power Method Incremental aggregated rieman- nian gradient method for distributed pca,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.753488Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 652c5cc4-13eb-4010-8aaf-5078e22d6456 · outbound

This paper cites Practical lossless federated singular vector decomposition over billion- scale data,.

Decentralized Differentially Private Power Method Practical lossless federated singular vector decomposition over billion- scale data,

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.651210Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 91a5aca0-68d1-4ddf-bb23-ac1579088eac · outbound

This paper cites Scalable and privacy-preserving federated principal component analysis,.

Decentralized Differentially Private Power Method Scalable and privacy-preserving federated principal component analysis,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.467609Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 6b48ea54-84c7-40d5-be12-abb85411be9c · outbound

This paper cites Fed- erated principal component analysis,.

Decentralized Differentially Private Power Method Fed- erated principal component analysis,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.312326Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 905f88a2-c844-419e-a057-2689df0c99b3 · outbound

This paper cites Principal component analysis for dimension reduction in massive distributed data sets,.

Decentralized Differentially Private Power Method Principal component analysis for dimension reduction in massive distributed data sets,

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.185302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4dade7ba-112b-48c7-a5f5-8782da41b1ba · outbound

This paper cites Im- proved distributed principal component analysis,.

Decentralized Differentially Private Power Method Im- proved distributed principal component analysis,

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:19.021768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a8580e52-ce22-4b0a-9142-f35f17a2cb6a · outbound

This paper cites Membership inference attack against principal component analysis,.

Decentralized Differentially Private Power Method Membership inference attack against principal component analysis,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.940423Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5fc10457-46c1-46e8-bc3c-bcc81f00de5a · outbound

This paper cites Differentially private principal component analysis over horizontally partitioned data,.

Decentralized Differentially Private Power Method Differentially private principal component analysis over horizontally partitioned data,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.855316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 301bfcb4-6332-40ee-93a9-9f58c18df809 · outbound

This paper cites Privacy-preserving source separation for distributed data using indepen- dent component analysis,.

Decentralized Differentially Private Power Method Privacy-preserving source separation for distributed data using indepen- dent component analysis,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.741678Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 5a91908e-676e-4817-87aa-1f41ac42b07c · outbound

This paper cites Minimax-optimal privacy- preserving sparse pca in distributed systems,.

Decentralized Differentially Private Power Method Minimax-optimal privacy- preserving sparse pca in distributed systems,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.624237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation deff53f1-f0a3-4159-870f-21f3f92517d2 · outbound

This paper cites Principal component analysis in the local dif- ferential privacy model,.

Decentralized Differentially Private Power Method Principal component analysis in the local dif- ferential privacy model,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.515992Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66ac2385-29e6-48f9-b9fe-cbb2a3a25aee · outbound

This paper cites Differentially private and decentralized randomized power method.

Decentralized Differentially Private Power Method Differentially private and decentralized randomized power method

Reference 13

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:24:17.237599Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4473a860-2a4b-4090-83f7-5325511687fe · outbound

This paper cites An improved gap-dependency analysis of the noisy power method,.

Decentralized Differentially Private Power Method An improved gap-dependency analysis of the noisy power method,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.418409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e91e05d0-917d-43e7-b92b-c45188956f64 · outbound

This paper cites FedPower: Privacy-Preserving Distributed Eigenspace Estimation.

Decentralized Differentially Private Power Method FedPower: Privacy-Preserving Distributed Eigenspace Estimation

Reference 15

Resolution: verified exact; local_arxiv, observed 2026-08-06T11:24:17.084669Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 505f767f-95d7-46d0-adc0-1f7ae3ed353f · outbound

This paper cites Relaxations of differential privacy and risk/utility evalua- tions of synthetic data and fidelity measures,.

Decentralized Differentially Private Power Method Relaxations of differential privacy and risk/utility evalua- tions of synthetic data and fidelity measures,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.326899Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation cba51a23-725a-48e8-832d-4f895a931eb3 · outbound

This paper cites The algorithmic foundations of differential privacy,.

Decentralized Differentially Private Power Method The algorithmic foundations of differential privacy,

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:15.922713Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ce32ba5c-19e7-4e43-9d28-65e568d1b804 · outbound

This paper cites Privacy: Theory meets practice on the map,.

Decentralized Differentially Private Power Method Privacy: Theory meets practice on the map,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.219171Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fff57fe9-2e20-4124-8025-2e3aa7fe0639 · outbound

This paper cites Our data, ourselves: Privacy via distributed noise generation,.

Decentralized Differentially Private Power Method Our data, ourselves: Privacy via distributed noise generation,

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:16.082299Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6b7b2a8c-ad0f-459a-8edd-f06cb7ff1358 · outbound

This paper cites The noisy power method: A meta algorithm with applications,.

Decentralized Differentially Private Power Method The noisy power method: A meta algorithm with applications,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:18.104644Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 22f0a909-f85b-4764-82a5-b43f6cc732fa · outbound

This paper cites Differentially private clustering in high-dimensional euclidean spaces,.

Decentralized Differentially Private Power Method Differentially private clustering in high-dimensional euclidean spaces,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.974887Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 24316477-1533-4c73-bfb4-468994469808 · outbound

This paper cites Concentrated differential privacy: Simpli- fications, extensions, and lower bounds,.

Decentralized Differentially Private Power Method Concentrated differential privacy: Simpli- fications, extensions, and lower bounds,

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:16.297323Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a46f98ef-484e-4dbc-b2f4-f869e59ee7f9 · outbound

This paper cites Vershynin,High-Dimensional Probability: An Introduction with Ap- plications in Data Science, ser.

Decentralized Differentially Private Power Method Vershynin,High-Dimensional Probability: An Introduction with Ap- plications in Data Science, ser

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.846585Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 36abf0bc-cb34-46b8-a34b-2682fbc1900f · outbound

This paper cites Matrix computations third ed,.

Decentralized Differentially Private Power Method Matrix computations third ed,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.759768Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 56106aec-9c2c-4ad7-a986-07b137907f01 · outbound

This paper cites On r ´enyi divergence measures for continuous alphabet sources,.

Decentralized Differentially Private Power Method On r ´enyi divergence measures for continuous alphabet sources,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.658157Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d056e29e-38bd-4315-bbd6-26c182558c8c · outbound

This paper cites The rotation of eigenvectors by a perturbation. iii,.

Decentralized Differentially Private Power Method The rotation of eigenvectors by a perturbation. iii,

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.564855Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 19d69672-fbdb-40e6-86b0-b22924a6de98 · outbound

This paper cites Adaptive estimation of a quadratic functional by model selection,.

Decentralized Differentially Private Power Method Adaptive estimation of a quadratic functional by model selection,

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.463154Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aec05c51-7206-412f-af71-f7fe83c64d58 · outbound

This paper cites Least angle regression,.

Decentralized Differentially Private Power Method Least angle regression,

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T11:24:17.334880Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 02e922a5-ffd7-4492-9bd5-47ec083fdff0 · outbound

This paper cites Breast Cancer Wisconsin (Diagnostic),.

Decentralized Differentially Private Power Method Breast Cancer Wisconsin (Diagnostic),

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:16.782207Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c1b1edef-2add-49ed-aa5e-f03b7d1b2c93 · outbound

This paper cites Aeberhard and M.

Decentralized Differentially Private Power Method Aeberhard and M

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-06T11:24:16.853928Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.