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Paper Citation Record · LEDGER

Distributed Sketching Methods for Privacy Preserving Regression

As of 24 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2002.06538.

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

pith.paper-citation-record.v1
2002.06538 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 5 of 5 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-05T14:36:49.288155Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-06-29T22:44:02.315215Z

Reference resolution

0 of 0 outbound references displayed

  • verified exact0
  • verified fuzzy0
  • unresolved0
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation c948cd54-4b78-4904-a5b9-80c73ada5f6e · inbound

The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning cites this paper.

The Normal Distributions Indistinguishability Spectrum and its Application to Privacy-Preserving Machine Learning Distributed Sketching Methods for Privacy Preserving Regression

Reference 41

Resolution
verified exact
arxiv_id, observed 2026-05-24T06:49:02.227896Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-05-24T06:46:35.727718Z digest=sha256:b124289f622849c0cf56028f8835920da082a747ff310a65c0fc00085f296978

Observation 3dbc696d-11b4-4538-a57a-2cf88dbb0e40 · inbound

Faster Linear Algebra Algorithms with Structured Random Matrices cites this paper.

Faster Linear Algebra Algorithms with Structured Random Matrices Distributed Sketching Methods for Privacy Preserving Regression

Reference 15

Resolution
unresolved
no resolver link, observed 2026-08-05T14:36:49.288155Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:36:49.288155Z digest=sha256:da409a779e02d19bf1d694e110a72d3887994d3b9b4532f71f84c47e41d97242

Observation 7c095fec-ee9a-4a5d-9366-009dd5b3bf05 · inbound

Sharp analysis of sketched least squares and randomized low-rank approximation cites this paper.

Sharp analysis of sketched least squares and randomized low-rank approximation Distributed Sketching Methods for Privacy Preserving Regression

Reference 11

Resolution
metadata mismatch
arxiv_id, observed 2026-05-20T07:28:06.750257Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-05-20T07:25:22.937413Z digest=sha256:52caa8a6e8a6e2a1d9c8f47018d974d47f0e2696fe48100e2557ce25b3074046

Observation 2ce5c439-499b-4eb3-b134-e19fa8d8472c · inbound

Sharp analysis of sketched least squares and randomized low-rank approximation cites this paper.

Sharp analysis of sketched least squares and randomized low-rank approximation Distributed Sketching Methods for Privacy Preserving Regression

Reference 2007

Resolution
unresolved
no resolver link, observed 2026-08-04T05:20:04.339433Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-04T05:20:04.339433Z digest=sha256:5fb417bedc42a6e942d66e949f93462f86a38661e6da256a3674661974a34d74

Observation 2606edf1-958c-44a3-abfd-7735a918fc12 · inbound

A multilevel sketch-and-solve method for overdetermined least squares problems cites this paper.

A multilevel sketch-and-solve method for overdetermined least squares problems Distributed Sketching Methods for Privacy Preserving Regression

Reference 2

Resolution
verified exact
arxiv_id, observed 2026-06-29T22:44:02.316737Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=pdf_text observed=2026-06-29T20:34:06.947754Z digest=sha256:faa49138fe7ce856a6c39e8fc5d16b8d73286de721bd088f03196bd1cac5f760