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Paper Citation Record · LEDGER

Distributed Sketching Methods for Privacy Preserving Regression

As of 8 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 2026-08-08T06:32:00.761636+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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-05-24T06:46:35.727718Z digest=sha256:b0e644002033882cdac8dfa72cc0d63e092d3804039c508a497ffe99fe7ecd7e

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=sha256:7ce3a60193b46fbca537b3f76d72e485d93baf58c6007145cf06704af346d274

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 2026-08-08T06:32:00.761636+00:00.

source=arxiv_source observed=2026-05-20T07:25:22.937413Z digest=sha256:843f3c2bda4a0bbe52516142e41d4365046d9fc976269178fbe53f0a28a2f7e1

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=sha256:0f34b80a83c5fb6b3d3fb325e315ad440b28f05a1738531efbd75e8e2fda22e3

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 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-06-29T20:34:06.947754Z digest=sha256:bd13612cc141b35d9457bb4a3d68ccba3c6a84849ea76a25df0b318134085670