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Paper Citation Record · LEDGER

Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

As of 8 August 2026, this Paper Citation Record lists 0 of 0 outbound references and 11 inbound Pith citation observations for arXiv:2407.15049.

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

pith.paper-citation-record.v1
2407.15049 v3

Coverage vector

measured 0 of 0 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links

measured 11 of 11 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 11 of 11 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T21:22:14.184426Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-22T07:41:14.800183Z

Reference resolution

0 of 0 outbound references displayed

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  • verified fuzzy0
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  • malformed identifier0
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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 f811efa1-c070-4e38-aa33-8aa2c38749bb · inbound

Scalable First-order Method for Certifying Optimal k-Sparse GLMs cites this paper.

Scalable First-order Method for Certifying Optimal k-Sparse GLMs Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 2024

Resolution
unresolved
no resolver link, observed 2026-08-07T21:22:14.184426Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T21:22:14.184426Z digest=sha256:a943bac136550a5870aaa8b77273028f750eb2595b3ebb099af6d0539c95d72b

Observation 0c0ee4e9-dde7-4587-899e-03584ab4876d · 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 Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 35

Resolution
unresolved
no resolver link, observed 2026-08-07T15:21:17.327500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T15:21:17.327500Z digest=sha256:4b5be3bcde11fde2b393b82b46ed5b64fe73b5979a7e4e30ac6e19a3128ea2e0

Observation 456b9082-aad5-4de7-9512-45501dbbcffc · 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 Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-07T11:33:15.012887Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T11:33:15.012887Z digest=sha256:9a8d87e5c69279d5f09d6a6f6692eac617faf65115b93b063a61983af28b0669

Observation e47abcb8-b693-4c2b-9ef6-5e355357693a · 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 Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 22

Resolution
unresolved
no resolver link, observed 2026-08-07T06:11:01.339301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T06:11:01.339301Z digest=sha256:a8bff5631c8632715b8cab9a42fcfd4c1e67d894d5d39af162d8cf0da3d59197

Observation 6d0b24b6-5426-4258-9cd0-5bc5dc5edc5c · inbound

On the Practical Implementation of a Sequential Quadratic Programming Algorithm for Nonconvex Sum-of-squares Problems cites this paper.

On the Practical Implementation of a Sequential Quadratic Programming Algorithm for Nonconvex Sum-of-squares Problems Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 12

Resolution
verified exact
arxiv_id, observed 2026-05-16T08:12:35.407833Z

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.

source=pdf_text observed=2026-05-16T08:12:27.427842Z digest=sha256:82ff6e2710d968605c5b52d48fb8d5325d3fcab11d9e4c21df165e0af0c97840

Observation cc69c770-5f39-4f59-8443-62ec9fa50af3 · inbound

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

Solving Imperfect-Recall Games via Sum-of-Squares Optimization Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 29

Resolution
unresolved
no resolver link, observed 2026-08-02T21:08:32.497021Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-02T21:08:32.497021Z digest=sha256:363d18ebcc00bbe0aee258855e5a26666617eccb8f73f235f298fc7247d7cf08

Observation dbfa680c-7de1-480d-9c01-46bc798b1c2a · 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 Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 15

Resolution
verified exact
arxiv_id, observed 2026-05-20T09:48:11.657321Z

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.

source=pdf_text observed=2026-05-20T09:44:32.144900Z digest=sha256:0ad74df5d90530ba3cafa07f96244ef6dbfa33074adbd938bfa6bcd141385b75

Observation 4fe43ecd-55ad-4c9c-92d6-53c1442a24bd · inbound

From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$-Sparse GLMs cites this paper.

From Sequential Nodes to GPU Batches: Parallel Branch and Bound for Optimal $k$-Sparse GLMs Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 30

Resolution
verified exact
arxiv_id, observed 2026-05-22T07:41:14.803983Z

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.

source=pdf_text observed=2026-05-22T07:39:49.501156Z digest=sha256:ffdc8a3e08d42ce54390ef4390ef88868d9e798f56381ebc281acb36c8bd530c

Observation bb602ff0-de61-4e2a-9520-aefe23c0ca96 · inbound

Fast SDP certification of neural networks : towards large multi-class datasets cites this paper.

Fast SDP certification of neural networks : towards large multi-class datasets Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 15

Resolution
unresolved
no resolver link, observed 2026-07-12T03:57:46.650349Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-07-12T03:57:46.650349Z digest=sha256:adc778fcc10cfe34bcae7a11c5ab7cc501817bc7314f89acd9a32ace664958a0

Observation 7d8d1cc8-b9e0-4c8d-9627-b445d1119515 · 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 Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 18

Resolution
unresolved
no resolver link, observed 2026-08-01T16:39:59.839181Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-01T16:39:59.839181Z digest=sha256:9d01b5e329b00da03fba7b0dd3011a06d9740c23d3cd830fbd8ca55168e75dfd

Observation d164b320-7e46-4e17-8d8f-f50ab235dcc0 · inbound

Input-to-state Stable Approximate Nonlinear Model Predictive Control with Realtime Feasibility cites this paper.

Input-to-state Stable Approximate Nonlinear Model Predictive Control with Realtime Feasibility Accelerating Low-Rank Factorization-Based Semidefinite Programming Algorithms on GPU

Reference 198

Resolution
unresolved
no resolver link, observed 2026-07-31T10:25:01.537996Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-07-31T10:25:01.537996Z digest=sha256:db62c560c0bf9608e364750a5cd3bb644ad970b076fd2f46a7cfa97dc4587928