Paper Citation Record · LEDGER

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation?

As of 9 August 2026, this Paper Citation Record lists 13 of 13 outbound references and 0 inbound Pith citation observations for arXiv:2502.07993.

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

pith.paper-citation-record.v1
2502.07993 v2

Coverage vector

measured 13 of 13 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-08T11:20:55.813172Z

measured 13 of 13 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.

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

13 of 13 outbound references displayed

verified exact3
verified fuzzy3
unresolved7
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b2288d86-0b4f-428f-a660-efee3219b128 · outbound

This paper cites Sub-Sampled Newton Methods I: Globally Convergent Algorithms.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Sub-Sampled Newton Methods I: Globally Convergent Algorithms

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.797292Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 88ff90e6-84f4-4d78-be29-b4724d314716 · outbound

This paper cites Randomized matrix computations: Themes and variations.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Randomized matrix computations: Themes and variations

Reference 1998

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.787597Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2a6286e-3880-45cb-a2c0-8ebe708981e9 · outbound

This paper cites Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Robust Shift-and-Invert Preconditioning: Faster and More Sample Efficient Algorithms for Eigenvector Computation

Reference 2001

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.784147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ece4279a-d6b5-42d6-93dc-0009a1a2cbc9 · outbound

This paper cites An implementation of a randomized algorithm for principal component analysis.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? An implementation of a randomized algorithm for principal component analysis

Reference 2002

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:20:55.869850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6aea4689-fd7a-4564-b8b5-f109e4071af3 · outbound

This paper cites Improved approximation algorithms for large matrices via random pro- jections.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Improved approximation algorithms for large matrices via random pro- jections

Reference 2008

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:20:56.095677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation eb68fec5-c6de-44e5-ac5c-eb301d10a894 · outbound

This paper cites Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Randomized Numerical Linear Algebra : A Perspective on the Field With an Eye to Software

Reference 2011

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.790824Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8b8fc8af-3ec6-49a2-9b9e-016c8b80050f · outbound

This paper cites Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Randomized Iterative Solver as Iterative Refinement: A Simple Fix Towards Backward Stability

Reference 2015

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:20:55.844691Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 448408fc-37c8-4d57-9d3a-083f2e21b850 · outbound

This paper cites Sub-Sampled Newton Methods II: Local Convergence Rates.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Sub-Sampled Newton Methods II: Local Convergence Rates

Reference 2016

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.800829Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 27e78315-2408-46f9-8a5f-c8830b1486f7 · outbound

This paper cites First efficient convergence for streaming k-pca: a global, gap-free, and near-optimal rate.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? First efficient convergence for streaming k-pca: a global, gap-free, and near-optimal rate

Reference 2017

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:20:56.113533Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 6ed05901-d94c-4631-8f7f-20c0f9f0cc46 · outbound

This paper cites Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Randomized algorithms for low-rank matrix approximation: Design, analysis, and applications

Reference 2018

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.809995Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60bc6b74-989d-4937-85ba-35790012efe4 · outbound

This paper cites Iterative hessian sketch with momentum.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Iterative hessian sketch with momentum

Reference 2020

Resolution: verified fuzzy; raw_fallback, observed 2026-08-08T11:20:56.104300Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 48ed0348-0eb7-4224-885f-eb83ef0c4480 · outbound

This paper cites Sketch and Project: Randomized Iterative Methods for Linear Systems and Inverting Matrices.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Sketch and Project: Randomized Iterative Methods for Linear Systems and Inverting Matrices

Reference 2021

Resolution: verified exact; local_arxiv, observed 2026-08-08T11:20:56.076222Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 9e8f7d78-091c-440f-9c07-5f530749992b · outbound

This paper cites Fast and Simple PCA via Convex Optimization.

What is a Sketch-and-Precondition Derivation for Low-Rank Approximation? Inverse Power Error or Inverse Power Estimation? Fast and Simple PCA via Convex Optimization

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-08T11:20:55.777101Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.