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Paper Citation Record · LEDGER

Multi-Dictionary Learning for Low Rank Sparse Coding

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 1 inbound Pith citation observation for arXiv:2509.10033.

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

pith.paper-citation-record.v1
2509.10033 v2

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T18:28:43.141680Z

measured 50 of 50 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T05:20:58.563241Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T05:20:58.652684Z

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation 93f72653-479a-46e8-868a-df21bc4477db · outbound

This paper cites an unresolved cited work.

Multi-Dictionary Learning for Low Rank Sparse Coding Unresolved cited work

Reference 1

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Observation 85219bf6-4376-4e6a-ba6e-514e51abf29e · outbound

This paper cites Sparse coding with anomaly detection.

Multi-Dictionary Learning for Low Rank Sparse Coding Sparse coding with anomaly detection

Reference 2

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Observation 09040c49-b84d-4a21-9edb-3d588503a681 · outbound

This paper cites K-svd: An algorithm for designing overcomplete dictionaries for sparse representation.

Multi-Dictionary Learning for Low Rank Sparse Coding K-svd: An algorithm for designing overcomplete dictionaries for sparse representation

Reference 3

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Observation ab0cb0f4-b7c4-44ea-8e3d-677ff318bb32 · outbound

This paper cites Robust kronecker component analysis.

Multi-Dictionary Learning for Low Rank Sparse Coding Robust kronecker component analysis

Reference 4

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Observation 7215a30a-d996-49d1-ba9d-93dec517364b · outbound

This paper cites A fast iterative shrinkage-thresholding algorithm for linear inverse problems.

Multi-Dictionary Learning for Low Rank Sparse Coding A fast iterative shrinkage-thresholding algorithm for linear inverse problems

Reference 5

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Observation 6a56ebd8-0965-4f0c-86f0-5f09020dd217 · outbound

This paper cites Traffic flow on a freeway network.

Multi-Dictionary Learning for Low Rank Sparse Coding Traffic flow on a freeway network

Reference 6

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This paper cites Distributed op- timization and statistical learning via the alternating direction method of multipliers.

Multi-Dictionary Learning for Low Rank Sparse Coding Distributed op- timization and statistical learning via the alternating direction method of multipliers

Reference 7

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Observation 4730623b-3f74-4189-812d-63a2809d93bc · outbound

This paper cites On the mathematical foundations of learning.

Multi-Dictionary Learning for Low Rank Sparse Coding On the mathematical foundations of learning

Reference 8

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Observation 57905d4d-6b73-4c74-8c69-66ae45ae1c2b · outbound

This paper cites Sparsity analysis using a mixed approach with greedy and ls algorithms on channel estimation.

Multi-Dictionary Learning for Low Rank Sparse Coding Sparsity analysis using a mixed approach with greedy and ls algorithms on channel estimation

Reference 9

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Observation 926e4792-d889-4de5-a356-54ad766d6898 · outbound

This paper cites Learning graphs from data: A signal representation perspective.

Multi-Dictionary Learning for Low Rank Sparse Coding Learning graphs from data: A signal representation perspective

Reference 10

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Observation f832750c-a682-4d35-8f4f-f6a1dcdb54ef · outbound

This paper cites Reality mining: sensing complex social systems.

Multi-Dictionary Learning for Low Rank Sparse Coding Reality mining: sensing complex social systems

Reference 11

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Observation 94572f20-3299-4327-a737-8640dd8cb60f · outbound

This paper cites Image denoising via sparse and redundant representations over learned dictionaries.

Multi-Dictionary Learning for Low Rank Sparse Coding Image denoising via sparse and redundant representations over learned dictionaries

Reference 12

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Observation c9fb82ed-2412-465c-8c42-aa18369fa2e1 · outbound

This paper cites Method of optimal directions for frame design.

Multi-Dictionary Learning for Low Rank Sparse Coding Method of optimal directions for frame design

Reference 13

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Observation 0955e34a-4398-4bd9-80ba-ae2ed2e64a9a · outbound

This paper cites Sparse Coding with Multi-Layer Decoders using Variance Regularization.

Multi-Dictionary Learning for Low Rank Sparse Coding Sparse Coding with Multi-Layer Decoders using Variance Regularization

Reference 14

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Observation 7a275251-bda6-40d7-b85a-4ce6a09dadbe · outbound

This paper cites 2d sparse signal recovery via 2d orthogonal match- ing pursuit.

Multi-Dictionary Learning for Low Rank Sparse Coding 2d sparse signal recovery via 2d orthogonal match- ing pursuit

Reference 15

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Observation 1bf78bd4-7df4-431a-ad8e-5dbe3229f49d · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Sparse decomposition of two dimensional signals

Reference 16

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Observation e9ee2b94-b4ca-42a1-bce9-7ef89f1db856 · outbound

This paper cites A low-rank tensor dictionary learning method for hyper- spectral image denoising.

Multi-Dictionary Learning for Low Rank Sparse Coding A low-rank tensor dictionary learning method for hyper- spectral image denoising

Reference 17

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Observation fe636752-4e79-476d-a4b9-9e9b49d8d190 · outbound

This paper cites Sample complexity of dictionary learning and other matrix factorizations.

Multi-Dictionary Learning for Low Rank Sparse Coding Sample complexity of dictionary learning and other matrix factorizations

Reference 18

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Observation fb4e77df-9828-487a-a79e-84513fbd3a67 · outbound

This paper cites Separable dictionary learning.

Multi-Dictionary Learning for Low Rank Sparse Coding Separable dictionary learning

Reference 19

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Observation ac84debd-84bc-4bee-b99e-60e638a3dbaa · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Bayesian compressive sensing

Reference 20

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Observation a2c5a5a2-c68e-4d64-a3de-88b36577e0e4 · outbound

This paper cites Dictionary learning with low- rank coding coefficients for tensor completion.

Multi-Dictionary Learning for Low Rank Sparse Coding Dictionary learning with low- rank coding coefficients for tensor completion

Reference 21

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Observation 1263ba33-4cb6-41b3-8b2c-1346f757c283 · outbound

This paper cites Sparse signal recovery via tree search matching pursuit.

Multi-Dictionary Learning for Low Rank Sparse Coding Sparse signal recovery via tree search matching pursuit

Reference 22

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Observation c026091d-8168-4ebd-8ac2-e93fd9480e75 · outbound

This paper cites The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices.

Multi-Dictionary Learning for Low Rank Sparse Coding The Augmented Lagrange Multiplier Method for Exact Recovery of Corrupted Low-Rank Matrices

Reference 23

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Observation 5ad39f9c-4c07-4391-84cc-17945dbf44ba · outbound

This paper cites Gist: Graph inference for structured time series.

Multi-Dictionary Learning for Low Rank Sparse Coding Gist: Graph inference for structured time series

Reference 24

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This paper cites A review of sparse recovery algorithms.

Multi-Dictionary Learning for Low Rank Sparse Coding A review of sparse recovery algorithms

Reference 25

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Multi-Dictionary Learning for Low Rank Sparse Coding Multi-dictionary tensor decomposition

Reference 26

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Observation 07724a0b-57b8-44a5-9e1f-ee5c29c90845 · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Temporal graph signal decomposition

Reference 27

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Observation eaad38cb-33b1-4393-b913-d5d1ab93961f · outbound

This paper cites Or- thogonal matching pursuit: Recursive function approximation with applications to wavelet de- composition.

Multi-Dictionary Learning for Low Rank Sparse Coding Or- thogonal matching pursuit: Recursive function approximation with applications to wavelet de- composition

Reference 28

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Observation 27e65d64-0c1b-4721-b01c-0945739f0c91 · outbound

This paper cites Jointly using low-rank and sparsity priors for sparse inverse synthetic aperture radar imaging.

Multi-Dictionary Learning for Low Rank Sparse Coding Jointly using low-rank and sparsity priors for sparse inverse synthetic aperture radar imaging

Reference 29

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Observation 2749c959-eda2-42bd-8a23-4c557c512d44 · outbound

This paper cites Dynamic texture recognition via orthogonal tensor dictio- nary learning.

Multi-Dictionary Learning for Low Rank Sparse Coding Dynamic texture recognition via orthogonal tensor dictio- nary learning

Reference 30

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Observation 6381091b-cd4e-40a9-a816-f7d38dad0774 · outbound

This paper cites Recommendation on live-streaming plat- forms: Dynamic availability and repeat consumption.

Multi-Dictionary Learning for Low Rank Sparse Coding Recommendation on live-streaming plat- forms: Dynamic availability and repeat consumption

Reference 31

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This paper cites Dictionaries for sparse representation modeling.

Multi-Dictionary Learning for Low Rank Sparse Coding Dictionaries for sparse representation modeling

Reference 32

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Observation a3699d18-4718-42e2-9989-a80098c2fbfc · outbound

This paper cites Sandryhaila and J.

Multi-Dictionary Learning for Low Rank Sparse Coding Sandryhaila and J

Reference 33

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Observation cdba6105-9a1b-4c0a-93f2-fcd4f6ec5717 · outbound

This paper cites New dictio- nary learning methods for two-dimensional signals.

Multi-Dictionary Learning for Low Rank Sparse Coding New dictio- nary learning methods for two-dimensional signals

Reference 34

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Multi-Dictionary Learning for Low Rank Sparse Coding Understanding Machine Learning: From Theory to Algorithms

Reference 35

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Observation 6183d035-ef14-4681-bc4e-85fbb17de7c5 · outbound

This paper cites The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains.

Multi-Dictionary Learning for Low Rank Sparse Coding The emerging field of signal processing on graphs: Extending high-dimensional data analysis to networks and other irregular domains

Reference 36

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Observation da499dff-63d3-4335-98b0-30ff27cadf66 · outbound

This paper cites Crowdsourced air traffic data from the opensky network 2019–2020.

Multi-Dictionary Learning for Low Rank Sparse Coding Crowdsourced air traffic data from the opensky network 2019–2020

Reference 37

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Observation 9f750930-2bb3-45ac-a400-aed3b8462dae · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Adversarial robustness of supervised sparse coding

Reference 38

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Observation 5aef72a9-74e9-4ae5-ba0e-9be1fe7f9920 · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Unresolved cited work

Reference 39

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Observation 403b75f1-2f2d-4d6e-8507-42fde507c71c · outbound

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Multi-Dictionary Learning for Low Rank Sparse Coding Tenneti and P

Reference 40

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This paper cites Time-Varying Graph Mode Decomposition.

Multi-Dictionary Learning for Low Rank Sparse Coding Time-Varying Graph Mode Decomposition

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This paper cites Bruckstein.

Multi-Dictionary Learning for Low Rank Sparse Coding Bruckstein

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This paper cites Generalized orthogonal matching pursuit.

Multi-Dictionary Learning for Low Rank Sparse Coding Generalized orthogonal matching pursuit

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This paper cites Robust face recogni- tion via sparse representation.

Multi-Dictionary Learning for Low Rank Sparse Coding Robust face recogni- tion via sparse representation

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Multi-Dictionary Learning for Low Rank Sparse Coding Joint-2d-sl0 algorithm for joint sparse matrix reconstruction

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Multi-Dictionary Learning for Low Rank Sparse Coding Improved separable dic- tionary learning

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Multi-Dictionary Learning for Low Rank Sparse Coding Analytic separable dictionary learning based on oblique manifold

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Multi-Dictionary Learning for Low Rank Sparse Coding A survey of sparse repre- sentation: algorithms and applications

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Multi-Dictionary Learning for Low Rank Sparse Coding Unresolved cited work

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Pith citing papers

Observation 723e719c-4152-44dc-ba8a-d3a9cfd6daa7 · inbound

York's Cavity Formalism and Quantum Modified Thermodynamics of (2+1)D Black Holes cites this paper.

York's Cavity Formalism and Quantum Modified Thermodynamics of (2+1)D Black Holes Multi-Dictionary Learning for Low Rank Sparse Coding

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