Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-14T12:47:30.929785Z
Paper Citation Record · LEDGER
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem
As of 16 August 2026, this Paper Citation Record lists 18 of 18 outbound references and 0 inbound Pith citation observations for arXiv:1908.06497.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
18 of 18 outbound references displayed
- verified exact1
- verified fuzzy15
- unresolved2
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 2806387e-0c7e-423f-8389-34390d1ef486 · outbound
This paper cites A constrained procrus tes problem.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem A constrained procrus tes problem
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.399526Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 622aa32d-d9b6-46eb-bec3-c6554d4f9f72 · outbound
This paper cites Efficient Algorithms for Positive Semi-Definite Total Least Squares Problems, Minimum Rank Problem and Correlation Matrix Computation.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Efficient Algorithms for Positive Semi-Definite Total Least Squares Problems, Minimum Rank Problem and Correlation Matrix Computation
Reference 2
- Resolution
- verified exact
- local_arxiv, observed 2026-08-14T12:47:30.994168Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 97e0015d-3126-4fd1-8f86-f18205788b7a · outbound
This paper cites Two-point step size g radi- ent methods.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Two-point step size g radi- ent methods
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.354137Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation e73607ce-8155-4895-b21d-920e33f5ed6a · outbound
This paper cites Nonlinear programming.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Nonlinear programming
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:47:30.838066Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation aea0b7e2-be4d-46c2-be0b-7847f4c20ea3 · outbound
This paper cites Optimal matrices describing linear systems.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Optimal matrices describing linear systems
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.313956Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2853603e-4c36-4083-bcf1-648c0e4e7578 · outbound
This paper cites Projected barzilai-borwein me th- ods for large-scale box-constrained quadratic programming.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Projected barzilai-borwein me th- ods for large-scale box-constrained quadratic programming
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.281723Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 66979a11-56f7-4b52-b39d-92415e1a8a10 · outbound
This paper cites Non- monotone algorithm for minimization on arbitrary domains with appli- cations to large-scale orthogonal procrustes problem.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Non- monotone algorithm for minimization on arbitrary domains with appli- cations to large-scale orthogonal procrustes problem
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.247727Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 71105c8f-6dcd-40c9-bc0b-7b6f2cdfb35d · outbound
This paper cites A semi-analytical approach for the positive semidefinite procrustes problem.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem A semi-analytical approach for the positive semidefinite procrustes problem
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.222279Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation f5ff1597-337a-496a-9aee-293658ae50a7 · outbound
This paper cites Computing a nearest symmetric positive semidefi - nite matrix.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Computing a nearest symmetric positive semidefi - nite matrix
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.201586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 56c9a17c-be7f-4d02-a2b8-9d2915bbad89 · outbound
This paper cites Least-squares solution of ax b= d over symmetric positive semidefinite matrices x.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Least-squares solution of ax b= d over symmetric positive semidefinite matrices x
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.180753Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 13cb8516-ad30-4223-8afb-b11ae60d6fa9 · outbound
This paper cites Introductory lectures on convex programm ing volume i: Basic course.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Introductory lectures on convex programm ing volume i: Basic course
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.159258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 22e9a87c-6538-4df4-a24e-b9604c84f7a6 · outbound
This paper cites Numerical optimization.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Numerical optimization
Reference 12
- Resolution
- unresolved
- no resolver link, observed 2026-08-14T12:47:30.890360Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 87929a2a-b84e-4c72-9df9-cf5a5c5b1f80 · outbound
This paper cites The barzilai and borwein gradient method for t he large scale unconstrained minimization problem.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem The barzilai and borwein gradient method for t he large scale unconstrained minimization problem
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.125287Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation d912eacc-5cc6-43bf-90a9-381d8d974b24 · outbound
This paper cites Approximation by a hermitian positive semidefinite toeplitz matrix.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Approximation by a hermitian positive semidefinite toeplitz matrix
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.104069Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 119894b5-90d4-4799-8c93-d0d3566bd400 · outbound
This paper cites An inexact primal–dual path following algorithm for convex quadratic sdp.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem An inexact primal–dual path following algorithm for convex quadratic sdp
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.083198Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 01bff190-387c-4fed-a576-9012ab8b8176 · outbound
This paper cites Sdpt3a matlab software package for semidefinite programming, version 1.3.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Sdpt3a matlab software package for semidefinite programming, version 1.3
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.062139Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 7ad2027d-dca9-4906-8573-b7ea0821f42b · outbound
This paper cites Least-squares solution of f= pg over positiv e semidefinite symmetric p.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem Least-squares solution of f= pg over positiv e semidefinite symmetric p
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.040600Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Observation 2b2be216-0e28-4f71-81ce-26627d13f003 · outbound
This paper cites A nonmonotone line search technique and its application to unconstrained optimization.
A Spectral Gradient Projection Method for the Positive Semi-definite Procrustes Problem A nonmonotone line search technique and its application to unconstrained optimization
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-14T12:47:31.018233Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-16T06:30:59.297886+00:00.
Pith citing papers
No inbound Pith citation observations are available.