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Paper Citation Record · LEDGER

Randomized Nystr\"om Preconditioned Interior Point-Proximal Method of Multipliers

As of 13 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2404.14524.

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

pith.paper-citation-record.v1
2404.14524 v2

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 2 of 2 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-13T06:32:02.005865+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T13:44:09.472650Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-18T09:26:10.713427Z

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 3a629b7e-5f84-4e07-b48a-da51b5e534e0 · inbound

When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization? cites this paper.

When Does Primal Interior Point Method Beat Primal-dual in Linear Optimization? Randomized Nystr\"om Preconditioned Interior Point-Proximal Method of Multipliers

Reference 10

Resolution
unresolved
no resolver link, observed 2026-08-12T13:44:09.472650Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-12T13:44:09.472650Z digest=sha256:db1f936116542645e0eb33e9f9ba429af7b2c2fafbeeac828b328b2a32825227

Observation 6857f11d-1f6d-4b1a-95ae-9dfc78301f27 · inbound

Scalable Kernel Quantile Regression: A Preconditioned Augmented Lagrangian Method cites this paper.

Scalable Kernel Quantile Regression: A Preconditioned Augmented Lagrangian Method Randomized Nystr\"om Preconditioned Interior Point-Proximal Method of Multipliers

Reference 5

Resolution
verified exact
arxiv_id, observed 2026-05-18T09:26:10.715218Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-18T09:24:05.118467Z digest=sha256:028e6531c923d040a74404f6d8041a1a09076a06d87b69215518473336964d46