Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T05:14:34.060679Z
Paper Citation Record · LEDGER
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation
As of 8 August 2026, this Paper Citation Record lists 25 of 25 outbound references and 0 inbound Pith citation observations for arXiv:2506.08535.
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 2026-08-08T06:32:00.761636+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
25 of 25 outbound references displayed
- verified exact2
- verified fuzzy22
- unresolved1
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation a4e90303-9d19-43bd-8d73-824bdd835fc4 · outbound
This paper cites A maximally split and adaptive relaxed al- ternating direction method of multipliers for regularized extreme learning machines,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A maximally split and adaptive relaxed al- ternating direction method of multipliers for regularized extreme learning machines,
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.589242Z
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 99ea13fe-3b13-4c06-9e2a-920bfdaf137b · outbound
This paper cites Sparse pattern selection strategies for robust frobenius-norm minimization preconditioners in electromagnetism,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Sparse pattern selection strategies for robust frobenius-norm minimization preconditioners in electromagnetism,
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.573779Z
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 b25d1bca-b994-4c5a-a817-a08ad7e9186c · outbound
This paper cites Generalized matrix spectral factorization with symmetry and construction of quasi-tight framelets over algebraic number fields,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Generalized matrix spectral factorization with symmetry and construction of quasi-tight framelets over algebraic number fields,
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.557857Z
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 f8429e6c-91a3-45a1-a2bf-3319704f65a4 · outbound
This paper cites A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A penalized matrix decomposition, with applications to sparse principal components and canonical correlation analysis,
Reference 4
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.543172Z
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 db164bd6-d6b8-4528-a1a1-900331483c33 · outbound
This paper cites an unresolved cited work.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Unresolved cited work
Reference 5
- Resolution
- unresolved
- raw_fallback, observed 2026-08-07T05:14:34.527220Z
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 5ff6d4fb-7d16-4cd8-8c81-5565c688fdfd · outbound
This paper cites Nonconvex factorization and manifold formulations are almost equivalent in low-rank matrix optimization,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Nonconvex factorization and manifold formulations are almost equivalent in low-rank matrix optimization,
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.510905Z
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 61d08d47-257a-4e84-a039-ab74111a5c11 · outbound
This paper cites A Validation Approach to Over-parameterized Matrix and Image Recovery.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A Validation Approach to Over-parameterized Matrix and Image Recovery
Reference 7
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:14:34.127990Z
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 823296e4-d88c-47bb-9150-51caf8d4c3a8 · outbound
This paper cites Why are big data matrices approximately low rank?.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Why are big data matrices approximately low rank?
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.495975Z
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 635c667d-1675-43c1-b3d7-203e484f9736 · outbound
This paper cites Rank-revealing qr factorizations and the singular value decomposition,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Rank-revealing qr factorizations and the singular value decomposition,
Reference 9
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.480473Z
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 65ddf9d7-f0d7-414c-bee6-f972850e38e6 · outbound
This paper cites Guaranteed minimum-rank solutions of linear matrix equa- tions via nuclear norm minimization,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Guaranteed minimum-rank solutions of linear matrix equa- tions via nuclear norm minimization,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.465611Z
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 79bfb666-2134-4daf-8b12-6e88d92a5126 · outbound
This paper cites A deterministic cur matrix decomposition algorithm for improved large-scale data analysis,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A deterministic cur matrix decomposition algorithm for improved large-scale data analysis,
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.449066Z
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 982acb22-c308-439d-a750-4efc31b84209 · outbound
This paper cites Sparse non-negative matrix factorizations via alternating non-negativity- constrained least squares for microarray data analysis,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Sparse non-negative matrix factorizations via alternating non-negativity- constrained least squares for microarray data analysis,
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.433302Z
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 af197f7f-6857-4e74-8d0c-ac26f608e851 · outbound
This paper cites Cur matrix decompositions for improved data analysis,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Cur matrix decompositions for improved data analysis,
Reference 13
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.417228Z
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 0c4c28f1-1ce1-434c-b31a-c4f3c98b3658 · outbound
This paper cites A regularized matrix factorization approach to induce structured sparse–low–rank solutions in the eeg inverse problem,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A regularized matrix factorization approach to induce structured sparse–low–rank solutions in the eeg inverse problem,
Reference 14
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.400768Z
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 38a4dd3a-f809-484c-a74a-ff199ed01b0a · outbound
This paper cites Matrix factorization techniques in machine learning, signal processing, and statistics,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Matrix factorization techniques in machine learning, signal processing, and statistics,
Reference 15
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.384992Z
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 be996716-2598-4d8b-a904-4bd85d32c691 · outbound
This paper cites Sparse principal component analysis,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Sparse principal component analysis,
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.368007Z
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 0e6238d4-eeb5-4225-9097-66851beab867 · outbound
This paper cites General tensor decomposition, moment matrices and applications,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation General tensor decomposition, moment matrices and applications,
Reference 17
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.352857Z
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 db8f9ad8-1d81-49ad-96d9-3e2272f9bf27 · outbound
This paper cites Low-rank matrix recovery via iteratively reweighted least squares min- imization,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Low-rank matrix recovery via iteratively reweighted least squares min- imization,
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.336782Z
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 4c007f05-5b75-4ae2-aae1-f010f3e741bc · outbound
This paper cites A framework of regularized low-rank matrix models for regression and classification,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation A framework of regularized low-rank matrix models for regression and classification,
Reference 19
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.222421Z
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 5bdf7af7-cf25-48a7-b0a3-53d34cb958cb · outbound
This paper cites Accelerating nuclear-norm regularized low-rank matrix op- timization through burer–monteiro decomposition,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Accelerating nuclear-norm regularized low-rank matrix op- timization through burer–monteiro decomposition,
Reference 20
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.206403Z
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 960129cd-1860-4854-84d3-347ed1742677 · outbound
This paper cites Deep matrix factorization with noise-adaptive regularization,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Deep matrix factorization with noise-adaptive regularization,
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.190792Z
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 85abc66f-8cbc-497b-a9f1-128bde7cc7c9 · outbound
This paper cites Variational bayesian matrix factorization with spectral priors,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Variational bayesian matrix factorization with spectral priors,
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.174896Z
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 fa1e0ae9-679c-4cf1-b048-59e5bb1d24d2 · outbound
This paper cites Neural parameterized low-rank models for structured matrix approx- imation,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Neural parameterized low-rank models for structured matrix approx- imation,
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.159445Z
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 ed991e79-281b-4dd8-8ebf-d291d2fbbbf8 · outbound
This paper cites Bayesian nonparametric low-rank matrix estimation with hierar- chical priors,.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Bayesian nonparametric low-rank matrix estimation with hierar- chical priors,
Reference 24
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-07T05:14:34.143883Z
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 45b4d7e9-3674-4d78-bea6-25bc3ed6e04b · outbound
This paper cites Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models.
Structured Variational $D$-Decomposition for Accurate and Stable Low-Rank Approximation Efficient Algorithms for Regularized Nonnegative Scale-invariant Low-rank Approximation Models
Reference 25
- Resolution
- verified exact
- local_arxiv, observed 2026-08-07T05:14:34.104980Z
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.
Pith citing papers
No inbound Pith citation observations are available.