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Paper Citation Record · LEDGER

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification

As of 16 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:1908.07878.

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

pith.paper-citation-record.v1
1908.07878 v1

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T12:02:39.609788Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

45 of 45 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 9182aa48-163a-419e-ba39-0d4df3959460 · outbound

This paper cites Label consistent K-SVD: Learning a discriminative diction ary for recognition ,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Label consistent K-SVD: Learning a discriminative diction ary for recognition ,

Reference 1

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Observation 4effda1f-19ca-4b20-bf86-053b68b166cd · outbound

This paper cites Sparse Codes Auto -Extractor for Classification: A Joint Embedding and Dictionary Learning Frame work for Representation,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Sparse Codes Auto -Extractor for Classification: A Joint Embedding and Dictionary Learning Frame work for Representation,

Reference 2

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Observation 94cb55df-180b-44bc-b2e2-945a3cb5b47a · outbound

This paper cites K -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification K -SVD: An Algorithm for Designing Overcomplete Dictionaries for Sparse Representation,

Reference 3

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Observation 2b3311e1-1ee9-4414-a28b-9ae16186eb9b · outbound

This paper cites Robust Face Recognition via Sparse Representation,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Robust Face Recognition via Sparse Representation,

Reference 4

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Source-reported events for the cited work

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Observation a6abdca1-e6f2-4818-b007-76fc01a88d2b · outbound

This paper cites A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification A Locality-Constrained and Label Embedding Dictionary Learning Algorithm for Image Classification,

Reference 5

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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.

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Observation aca56e28-2999-4202-87d7-80a3b1275d81 · outbound

This paper cites Discriminative K -SVD for Dictionary Learning in Face Recognition,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Discriminative K -SVD for Dictionary Learning in Face Recognition,

Reference 6

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Source-reported events for the cited work

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Observation de10b83d-ae31-4662-9147-52de7930a412 · outbound

This paper cites Sparse Representation based Fisher Discrimination Dictionary Learn ing for Image Classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Sparse Representation based Fisher Discrimination Dictionary Learn ing for Image Classification,

Reference 7

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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.

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Observation e059093e-68c6-4a8c-8c3f-bc8c6e22114e · outbound

This paper cites Classification and Clustering via dictionary learning with structured incoherence and shared features,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Classification and Clustering via dictionary learning with structured incoherence and shared features,

Reference 8

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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.

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Observation 107b708a-9db4-4cad-8929-7444b0e51eec · outbound

This paper cites Projective dictionary pair learning for pattern classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Projective dictionary pair learning for pattern classification,

Reference 9

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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.

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Observation 421f42bb-8d92-4d4c-bf4e-80fb24e21046 · outbound

This paper cites Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation based Robust Classification ,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Structured Latent Label Consistent Dictionary Learning for Salient Machine Faults Representation based Robust Classification ,

Reference 10

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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.

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Observation 58730257-5c13-47da-bc06-16045f5bb273 · outbound

This paper cites Jointly learning structured analysis discriminative dictionary and analysis multiclass classifier.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Jointly learning structured analysis discriminative dictionary and analysis multiclass classifier

Reference 11

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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.

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Observation 8aa676fb-0c99-4ec0-b7b7-72ee5a2ed560 · outbound

This paper cites Joint label consistent dictionary learning and adaptive label prediction for semi-supervised machine fault classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Joint label consistent dictionary learning and adaptive label prediction for semi-supervised machine fault classification,

Reference 12

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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.

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Observation dcd6cb8d-b790-44cd-892b-80f19ea4f932 · outbound

This paper cites Sparse Dictionary -Based Representation and Recognition of Action Attributes,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Sparse Dictionary -Based Representation and Recognition of Action Attributes,

Reference 13

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Source-reported events for the cited work

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Observation 771ce23e-6316-4e70-bf1d-0aa66ee0948b · outbound

This paper cites Image denoising via sparse and redu ndant representations over learned dictionaries,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Image denoising via sparse and redu ndant representations over learned dictionaries,

Reference 14

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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.

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Observation a5fe011a-33e0-4eed-ac06-046e44f21af0 · outbound

This paper cites Dictionaries for sparse representation modeling,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Dictionaries for sparse representation modeling,

Reference 15

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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.

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Observation 94823a4f-0fc2-4df9-a7c4-06c9be4667ab · outbound

This paper cites Fast low -rank shared dictionary learning for image classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Fast low -rank shared dictionary learning for image classification,

Reference 16

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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.

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Observation 7927675b-6626-40fe-b3bb-2a98aa947d50 · outbound

This paper cites Discriminative Sparse Flexible Manifold Embedding with Novel Graph for Robust Visual Representation and Label Propagation,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Discriminative Sparse Flexible Manifold Embedding with Novel Graph for Robust Visual Representation and Label Propagation,

Reference 17

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Source-reported events for the cited work

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Observation fee7bd6b-d93a-4ac6-9097-f4039116f978 · outbound

This paper cites Robust Spar se Linear Discriminant Analysis,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Robust Spar se Linear Discriminant Analysis,

Reference 18

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Observation 9c454b0b-134b-47f4-9f9f-2310d10547a5 · outbound

This paper cites Submodular Dictionary Learning for Sparse Coding,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Submodular Dictionary Learning for Sparse Coding,

Reference 19

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This paper cites Block-relaxation algorithms in statistics,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Block-relaxation algorithms in statistics,

Reference 20

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Observation b9ac0292-315a-4d4b-a203-bc5efd969368 · outbound

This paper cites Minimization of a non -separable objective function su bject to disjoint constraints,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Minimization of a non -separable objective function su bject to disjoint constraints,

Reference 21

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This paper cites Biconvex sets and optimization with biconvex functions: a survey and extensions,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Biconvex sets and optimization with biconvex functions: a survey and extensions,

Reference 22

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Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Document clustering using locality preserving indexing,

Reference 23

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This paper cites Laplacian score for feature selection,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Laplacian score for feature selection,

Reference 24

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Observation 2edfe83f-14ba-482f-beec-e9acef0fbc97 · outbound

This paper cites Parameterisation of a stochastic model for human face identification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Parameterisation of a stochastic model for human face identification,

Reference 25

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Observation c935090e-a96a-4b9b-b585-80e96adb2e47 · outbound

This paper cites From Few to Many: Illumination cone Models for Face Recognication under Variable Lighting and Pose,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification From Few to Many: Illumination cone Models for Face Recognication under Variable Lighting and Pose,

Reference 26

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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.

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This paper cites Characterizing virtual eigensign atures for general purpose face recognition,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Characterizing virtual eigensign atures for general purpose face recognition,

Reference 27

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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.

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This paper cites The AR face database,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification The AR face database,

Reference 28

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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.

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This paper cites The CMU pose, illumination, and expression (PIE) database,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification The CMU pose, illumination, and expression (PIE) database,

Reference 29

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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.

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This paper cites Analyzing appearance and contour based methods f or object categorization,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Analyzing appearance and contour based methods f or object categorization,

Reference 30

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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.

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Observation bfcd4314-2886-4c97-b70f-5099f3926f67 · outbound

This paper cites Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Beyond Bags of Features: Spatial Pyramid Matching for Recognizing Natural Scene Categories,

Reference 31

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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.

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Observation f6518970-ca3d-401e-a7d3-90e9566df923 · outbound

This paper cites A dictionary learning approach for classification separating the particularity and the commonality,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification A dictionary learning approach for classification separating the particularity and the commonality,

Reference 32

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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.

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Observation 17f36374-5462-4044-bcbd-f72ff66a0c7b · outbound

This paper cites Introduction to Statistical Pattern Recognition ,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Introduction to Statistical Pattern Recognition ,

Reference 33

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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.

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Observation f39a7eb3-3fe5-4155-bfed-7b652cb4d720 · outbound

This paper cites Uncertainty principles and ideal atomic decomposition.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Uncertainty principles and ideal atomic decomposition

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.829318Z

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.

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Observation a9d53098-99f8-41ab-a8ba-afb9507670ba · outbound

This paper cites Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Reconstructible Nonlinear Dimensionality Reduction via Joint Dictionary Learning,

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.818387Z

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.

source=pdf_text observed=2026-08-14T12:02:39.574038Z digest=sha256:8a8ff03adf245527c56395dc4a3e0f2d1e0e8bb6a47e9c07760bbf896df8c259

Observation fe7b68f4-bb58-43c7-bdc9-176bb063cf0d · outbound

This paper cites Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Robust Locality-Constrained Label Consistent KSVD by Joint Sparse Embedding,

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.807979Z

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.

source=pdf_text observed=2026-08-14T12:02:39.577646Z digest=sha256:b11253178570aa4baf7fff3ba5666e5f0a7ba3f75e1e36d702435259f6074990

Observation 8132e950-89e0-42a6-9d52-0e502f43e63e · outbound

This paper cites Comp onent-based Face Recognition with 3D Morphable Models,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Comp onent-based Face Recognition with 3D Morphable Models,

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.797988Z

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.

source=pdf_text observed=2026-08-14T12:02:39.581207Z digest=sha256:b9468944d442d831b4e06b5c22d8711324b86bd0c5e9817e9e4ddbfe0255664e

Observation 76f61670-f0de-4109-a69b-b6e432e3cd5d · outbound

This paper cites Discriminative Robust Deep Dictionary Learning for Hyperspectra l Image Classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Discriminative Robust Deep Dictionary Learning for Hyperspectra l Image Classification,

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.786535Z

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.

source=pdf_text observed=2026-08-14T12:02:39.584465Z digest=sha256:3cd707d5556d23201c00c953c6b068f014e34a5c654c664cdb797d3804eb2b42

Observation 013365dc-e559-41fc-8a71-9b225c545aac · outbound

This paper cites Contextual Online Dictionary Learning for Hyperspectral Image Classification,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Contextual Online Dictionary Learning for Hyperspectral Image Classification,

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.775141Z

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.

source=pdf_text observed=2026-08-14T12:02:39.587721Z digest=sha256:ea6f593291c1d9318c9221b4555dbe4b671a675cf918cd09c9219edaf5728243

Observation 43d80300-b538-4b21-a77c-30c56597f997 · outbound

This paper cites Imagenet classification with deep convolutional neural networks,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Imagenet classification with deep convolutional neural networks,

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.763056Z

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.

source=pdf_text observed=2026-08-14T12:02:39.590966Z digest=sha256:df3527cab805c1263a7b7ee1be9b6211dddc3489a3de27d3d18dbceb5450635b

Observation 17fc4c4c-b324-4a81-9243-e6c7a9c2e75d · outbound

This paper cites Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Robust Projective Low-Rank and Sparse Representation by Robust Dictionary Learning,

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.752025Z

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.

source=pdf_text observed=2026-08-14T12:02:39.594520Z digest=sha256:fe84d6f56c61c20a338c58dc5d2a68a7214d0a05b829f43b1b5b1175f3436587

Observation d6d008ff-9e2b-47a3-b2ea-6d5e0259e4ba · outbound

This paper cites Self -Expressive Dictionary Learning for Dynamic 3D Reconstruction,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Self -Expressive Dictionary Learning for Dynamic 3D Reconstruction,

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.741523Z

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.

source=pdf_text observed=2026-08-14T12:02:39.598329Z digest=sha256:35d645a80342b0f1c7a8a6012d45440e6293ffc3cde05373eb15f24c5628ea5b

Observation 08db3f07-e713-4b60-8c25-f61c44d9be7a · outbound

This paper cites Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Joint Subspace Recovery and Enhanced Locality Driven Robust Flexible Discriminative Dictionary Learning,

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.729541Z

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.

source=pdf_text observed=2026-08-14T12:02:39.602116Z digest=sha256:6fe57689ace6bd6f0dabb7a6c223350bbdfe2aa5b3bff07be2f06adfbbdfe830

Observation ba749099-4779-45a2-bfb5-f799491bb48c · outbound

This paper cites Scalable Block- Diagonal Locality -Constrained Projective Dictionary Learning,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Scalable Block- Diagonal Locality -Constrained Projective Dictionary Learning,

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T12:02:39.716071Z

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.

source=pdf_text observed=2026-08-14T12:02:39.605731Z digest=sha256:5d21b604ce1eb79ae3ea5d7cdc0e81d2065af26b235fd392033f4b7f87fcad29

Observation 64df585d-3fd0-44a6-8346-b9d889faf430 · outbound

This paper cites Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition,.

Learning Structured Twin-Incoherent Twin-Projective Latent Dictionary Pairs for Classification Discriminative Fisher Embedding Dictionary Learning Algorithm for Object Recognition,

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T12:02:39.609788Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-14T12:02:39.609788Z digest=sha256:33c506debffa827c3724084a3f040e70a37f94ad65a7bc33400a5912070e6121

Pith citing papers

No inbound Pith citation observations are available.