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Paper Citation Record · LEDGER

A Tuning-Free Primal-Dual Splitting Algorithm for Large-Scale Semidefinite Programming

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2402.00311.

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

pith.paper-citation-record.v1
2402.00311 v1

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 2026-08-09T06:31:02.800959+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-07-10T01:24:12.412433Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-07-10T01:26:43.264407Z

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 beffa359-7fa4-4de4-8ac8-a6d9d202d45e · inbound

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks cites this paper.

Solving Max-Cut to Global Optimality via Feasibility-Preserving Graph Neural Networks A Tuning-Free Primal-Dual Splitting Algorithm for Large-Scale Semidefinite Programming

Reference 81

Resolution
verified exact
arxiv_id, observed 2026-05-11T05:00:55.686337Z

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.

source=pdf_text observed=2026-05-11T00:55:32.471978Z digest=sha256:1aff5fef7105fa4dbbfadcad947e5c1e6c09f8758e9fedced98001dab8c1798c

Observation bc32b8eb-9815-417b-b541-57409a0bced4 · inbound

Local Linear Convergence of the Primal-Dual Hybrid Gradient Method for Semidefinite Programming cites this paper.

Local Linear Convergence of the Primal-Dual Hybrid Gradient Method for Semidefinite Programming A Tuning-Free Primal-Dual Splitting Algorithm for Large-Scale Semidefinite Programming

Reference 60

Resolution
verified exact
local_arxiv, observed 2026-07-10T01:26:43.265616Z

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.

source=pdf_text observed=2026-07-10T01:24:12.412433Z digest=sha256:bf08f49e9f653b5928991b823fb47dea44d303673950a509b3a4f503ebaac4e4