Paper Citation Record · LEDGER

A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 7 inbound Pith citation observations for arXiv:2401.12490.

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

pith.paper-citation-record.v1
2401.12490 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 2026-08-08T06:32:00.761636+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T23:41:20.345193Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T19:55:04.987155Z

Reference resolution

0 of 0 outbound references displayed

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External citation measurements

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Outbound references

No outbound reference observations are available for this paper version.

Pith citing papers

Observation cdd35851-5265-43ca-994e-c9ba9719d452 · inbound

A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles cites this paper.

A Bundle-based Augmented Lagrangian Framework: Algorithm, Convergence, and Primal-dual Principles A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-07T23:41:20.345193Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 80347378-0f4e-4244-8a30-8db24f811aef · inbound

Rounding the Lov\'asz Theta Function with a Value Function Approximation cites this paper.

Rounding the Lov\'asz Theta Function with a Value Function Approximation A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 11

Resolution: verified exact; arxiv_id, observed 2026-05-22T19:55:04.990566Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0150c3b9-17bf-4db1-b56f-47c09e689dde · 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 augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-07T15:21:20.596777Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 14569833-639d-4764-928e-ea2a14eafbff · inbound

Maximal entropy in the moment body cites this paper.

Maximal entropy in the moment body A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-06T20:39:37.053103Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d9c2468d-c3bb-46ec-8ef3-80f34f382ecc · 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 A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-06T16:27:57.043350Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 60737c80-ac8e-4f1f-86a2-95b456d3ef1e · inbound

Solving Imperfect-Recall Games via Sum-of-Squares Optimization cites this paper.

Solving Imperfect-Recall Games via Sum-of-Squares Optimization A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-02T21:08:34.812347Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e74905c7-146b-4266-b5ce-f23fc97556e6 · inbound

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

A preconditioned augmented Lagrangian method for solving semidefinite programming problems A low-rank augmented Lagrangian method for large-scale semidefinite programming based on a hybrid convex-nonconvex approach

Reference 24

Resolution: verified exact; arxiv_id, observed 2026-05-20T14:53:23.333831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.