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Paper Citation Record · LEDGER

Exploring chordal sparsity in semidefinite programming with sparse plus low-rank data matrices

As of 10 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 2 inbound Pith citation observations for arXiv:2410.23849.

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

pith.paper-citation-record.v1
2410.23849 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 2026-08-10T06:31:04.303077+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T21:55:26.183046Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-20T14:53:23.335233Z

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 05291756-5d8e-4bd1-847f-f7c32c066e8d · inbound

Convex relaxation approaches for high-dimensional optimal transport cites this paper.

Convex relaxation approaches for high-dimensional optimal transport Exploring chordal sparsity in semidefinite programming with sparse plus low-rank data matrices

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-03T21:55:26.183046Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-03T21:55:26.183046Z digest=sha256:56c674551b8a9cab67841fba5d8e2b9282a08aa0810087a58af28085da65ae3f

Observation 092a6f81-a88d-4f67-b645-a393f645103a · inbound

A preconditioned augmented Lagrangian method for solving semidefinite programming problems cites this paper.

A preconditioned augmented Lagrangian method for solving semidefinite programming problems Exploring chordal sparsity in semidefinite programming with sparse plus low-rank data matrices

Reference 39

Resolution
verified exact
arxiv_id, observed 2026-05-20T14:53:23.336625Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-20T14:49:01.872179Z digest=sha256:d6de3c7c4623a58448762a5113148f225e8894c1abbe4f06fcde3a0da5c0cc60