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Paper Citation Record · LEDGER

A Low-Rank ADMM Splitting Approach for Semidefinite Programming

As of 13 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 2026-08-13T06:32:02.005865+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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-22T23:35:06.548892Z digest=sha256:6197fb53fc2edb13d6cbd986b93d7c35de5ef03d0dd9bb7ad73f0a096cdde4c3

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:cc00a23635551020acc806515e852bd7611c4e82a525e40b1cafb254ce68ec16

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=sha256:3a5be3f84878041730084c57cdda4e986bfcd61a5d8a1b6c5757196db1ca9aa8

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=sha256:9b03b85a5bff9dd749c3daa102e7bc1b364e024de5799fafb5adfe65e9514ba6

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-16T15:17:02.183838Z digest=sha256:dd4976bead4397c99edbd713745512edc2d6d7337c0fbe819315553cd2ef7e94

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 2026-08-13T06:32:02.005865+00:00.

source=pdf_text observed=2026-05-20T09:44:32.144900Z digest=sha256:df50277b59f8bf0dd80e0a01132024d6388230d2a91886857edad088fb4066f2

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:f2e1a80fedd13400a7767731bea5853a02ae4ff6cbf320bae0a86de3ff0f8dcc