Pith. sign in

Paper Citation Record · LEDGER

A Low-Rank ADMM Splitting Approach for Semidefinite Programming

As of 9 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2403.09133.

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

pith.paper-citation-record.v1
2403.09133 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 7 of 7 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 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:17.196326Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T23:35:13.315998Z

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 e120def6-ff7f-4811-ac02-02052fa1d824 · inbound

Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity cites this paper.

Local Linear Convergence of the Alternating Direction Method of Multipliers for Semidefinite Programming under Strict Complementarity A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 24

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:35:13.319274Z

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=2026-05-22T23:35:06.548892Z digest=sha256:4e6dda9b4b76089e94d5568dfa14d37e71a926ce836cccf574d38d52d2d7c9a5

Observation f45777ed-d573-4cd7-b0bb-b82fc6cdc064 · inbound

New Understandings and Computation on Augmented Lagrangian Methods for Low-Rank Semidefinite Programming cites this paper.

New Understandings and Computation on Augmented Lagrangian Methods for Low-Rank Semidefinite Programming A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 34

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:17.196326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:17.196326Z digest=sha256:a6506841c925e0e29dda61bda534b3f5dc98c00b9f227a4d65f6506c55641e63

Observation 1b6a7161-737d-4e1f-9e69-341d43525933 · inbound

An Overview of GPU-based First-Order Methods for Linear Programming and Extensions cites this paper.

An Overview of GPU-based First-Order Methods for Linear Programming and Extensions A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 67

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:14.955912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:14.955912Z digest=sha256:27560e4120fc54ad91826eb93283de837b6e700ce5036952cc82dc0812134b8e

Observation 00b9c02b-d1aa-448d-8f96-6bddb9b8707a · inbound

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation cites this paper.

PDHCG: A Scalable First-Order Method for Large-Scale Competitive Market Equilibrium Computation A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 21

Resolution
unresolved
no resolver link, observed 2026-08-07T06:11:01.238897Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:11:01.238897Z digest=sha256:7d6671fa7f8f10c6f049fe490ae36c4f62361acc181308dcd52c64b03deadef6

Observation 52ce215d-b202-4c13-8486-1c3c99cf4424 · inbound

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems cites this paper.

D-PDLP: Scaling PDLP to Distributed Multi-GPU Systems A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 7

Resolution
verified exact
arxiv_id, observed 2026-05-16T15:18:01.931441Z

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=2026-05-16T15:17:02.183838Z digest=sha256:cea1b893a601fb6aebce388ec52364100babeca753f57f936a77ed4a4acca394

Observation 6f97e64c-9778-4733-bee8-e455fb1350ea · inbound

On the convergence of doubly stochastic Primal-Dual Hybrid Gradient Method cites this paper.

On the convergence of doubly stochastic Primal-Dual Hybrid Gradient Method A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 14

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:48:11.635256Z

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=2026-05-20T09:44:32.144900Z digest=sha256:0a7f07659b8cf87bd1beb4088c2787449ffd394cb45e1e5ee0245fcd511780d6

Observation c129dc95-3862-4826-91fa-be28d5e98d33 · inbound

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs cites this paper.

A Curvature-Aware Rank-Adaptive Distributed Augmented-Lagrangian Solver for Large-Scale SDPs A Low-Rank ADMM Splitting Approach for Semidefinite Programming

Reference 17

Resolution
unresolved
no resolver link, observed 2026-08-01T16:39:59.807684Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:39:59.807684Z digest=sha256:760d2966e9f055c7901646e415080768a48cb7389f51c35cf4fa64a7d5c78095