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Paper Citation Record · LEDGER

Solving Low-Rank Semidefinite Programs via Manifold Optimization

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 5 inbound Pith citation observations for arXiv:2303.01722.

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

pith.paper-citation-record.v1
2303.01722 v4

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 2026-08-07T06:34:17.273281+00:00

measured 5 of 5 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T15:21:23.112741Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-03T04:57:38.231141Z

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 9de4efd5-42da-4c65-8c19-bddc786771e8 · 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 Solving Low-Rank Semidefinite Programs via Manifold Optimization

Reference 56

Resolution
verified exact
arxiv_id, observed 2026-05-22T23:35:13.336775Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=pdf_text observed=2026-05-22T23:35:06.548892Z digest=sha256:44c0bf00be6d5879efcb2e5d3498554d98da2953d32cfb3b44f51ba032e14c6b

Observation 25b27bfd-0c64-49b5-867b-194c550447f1 · 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 Solving Low-Rank Semidefinite Programs via Manifold Optimization

Reference 90

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:23.112741Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:23.112741Z digest=sha256:1106cd9c174666c0b8ce36f0542953d1f4d2372a6110b3d91c774fa726440caa

Observation b6dc2039-018d-4351-a823-b04f0228ee7c · inbound

RiNNAL+: a Riemannian ALM Solver for SDP-RLT Relaxations of Mixed-Binary Quadratic Programs cites this paper.

RiNNAL+: a Riemannian ALM Solver for SDP-RLT Relaxations of Mixed-Binary Quadratic Programs Solving Low-Rank Semidefinite Programs via Manifold Optimization

Reference 61

Resolution
unresolved
no resolver link, observed 2026-08-06T16:27:57.094418Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T16:27:57.094418Z digest=sha256:d4c6d5fa21f21cbf12217391efe728a37e76dc975daeb3f44ec518fd91c798a3

Observation 21b4ce9a-2cab-4fd0-bf25-47412334e487 · inbound

Manifold Optimization-based Pilot Allocation for Cell-Free Massive MIMO ISAC Systems cites this paper.

Manifold Optimization-based Pilot Allocation for Cell-Free Massive MIMO ISAC Systems Solving Low-Rank Semidefinite Programs via Manifold Optimization

Reference 28

Resolution
unresolved
no resolver link, observed 2026-08-05T13:40:59.689153Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T13:40:59.689153Z digest=sha256:6ea51c1fd26cb831c2314eee30029c6d507bc9d5b9fa0c84f72d0cdee0069896

Observation 702d31fe-c669-412a-912a-453d1126f558 · inbound

LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies cites this paper.

LieIPM: Lie Group Interior Point Method for Direct Trajectory Optimization of Rigid Bodies Solving Low-Rank Semidefinite Programs via Manifold Optimization

Reference 49

Resolution
metadata mismatch
arxiv_id, observed 2026-07-03T04:57:38.232684Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

source=arxiv_source observed=2026-06-27T13:33:03.356383Z digest=sha256:01a2417cec82e3bee67552e60248d1b919378173a8562e2c1f768fa90fbbcdef