Paper Citation Record · LEDGER

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso

As of 8 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 0 inbound Pith citation observations for arXiv:2604.03953.

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

pith.paper-citation-record.v1
2604.03953 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-07-13T11:47:10.748191Z

measured 49 of 49 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 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

49 of 49 outbound references displayed

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External citation measurements

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Outbound references

Observation c6502cc8-c6c9-41e0-80e9-940eb255d9c1 · outbound

This paper cites Al Haris, M.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Al Haris, M

Reference 1

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Observation b196a235-64a8-4a76-8058-7c49d90bcc6b · outbound

This paper cites Inferring sparse gaussian graph- ical models with latent structure.Electronic Journal of Statistics, 3:205–238, 2009.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Inferring sparse gaussian graph- ical models with latent structure.Electronic Journal of Statistics, 3:205–238, 2009

Reference 2

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Observation 43477164-0fae-4946-89f0-baf4cc1fa97e · outbound

This paper cites Distributed optimization and statistical learning via the alternating direction method of multipliers.Foun- dations and Trends in Machine Learning, 3(1):1–122, 2011.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Distributed optimization and statistical learning via the alternating direction method of multipliers.Foun- dations and Trends in Machine Learning, 3(1):1–122, 2011

Reference 3

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Observation ce83e730-d066-41bb-af8d-e2eb20e8c691 · outbound

This paper cites Astroformer: More Data Might not be all you need for Classification.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Astroformer: More Data Might not be all you need for Classification

Reference 4

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Observation 5f89aa9d-465c-4214-8ec7-95e697508980 · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Observation 24129932-bc82-4d24-a202-2d8970c0df25 · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 6

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Observation 47a1cadb-a83a-460d-bfa3-13808323980d · outbound

This paper cites an unresolved cited work.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 7

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Observation 3c00fc00-3b81-4491-acd5-32d2b4718f78 · outbound

This paper cites an unresolved cited work.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 8

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Observation 6b5c8e77-d489-4135-bcbc-43fd28ce42b9 · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 9

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Observation e2fea6e2-29df-4dc3-a37c-cb8213007ab3 · outbound

This paper cites Extended bayesian information criteria for gaussian graphical models.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Extended bayesian information criteria for gaussian graphical models

Reference 10

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Observation 1617847d-8639-4785-83c7-ac08d9608a1b · outbound

This paper cites Sparse inverse covariance estimation with the graphical lasso.Biostatistics, 9(3):432–441, 2008.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Sparse inverse covariance estimation with the graphical lasso.Biostatistics, 9(3):432–441, 2008

Reference 11

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Observation b980c244-e691-44fb-b080-0370716e9768 · outbound

This paper cites an unresolved cited work.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 12

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Observation e5160365-14b7-40d2-b7ad-81fd887679b8 · outbound

This paper cites Caltech-256 object category dataset.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Caltech-256 object category dataset

Reference 13

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Observation 06bab38a-26bb-414e-b04e-8ba878646c2c · outbound

This paper cites Learning a common substructure of multiple graphical gaussian models.Neural Networks, 38:23–38, 2013.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Learning a common substructure of multiple graphical gaussian models.Neural Networks, 38:23–38, 2013

Reference 14

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Observation 2935f9b3-ea1c-4eaf-a268-4664971b8657 · outbound

This paper cites Hyun and H.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Hyun and H

Reference 15

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Observation 960a2138-4e0f-4266-b969-f1a037734a6d · outbound

This paper cites Jahanaray, M.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Jahanaray, M

Reference 16

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Observation 42df8338-17cc-4ade-a51d-9777e7e4dc4d · outbound

This paper cites Oneformer: One transformer to rule universal image segmentation.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Oneformer: One transformer to rule universal image segmentation

Reference 17

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Observation c1d73cfd-f4a2-4ddc-b153-ad82b688f148 · outbound

This paper cites Smedsrud, Michael A.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Smedsrud, Michael A

Reference 18

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Observation 021563c1-1060-4137-bcfb-773cbd1d7d37 · outbound

This paper cites Jia et al.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Jia et al

Reference 19

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Observation 1a7918fa-a52d-40b4-a25d-15cef1f49e05 · outbound

This paper cites Learning multiple layers of features from tiny images.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Learning multiple layers of features from tiny images

Reference 20

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Observation c93eb097-68be-4786-8075-08d9d3c32ae2 · outbound

This paper cites Lawrence Zitnick.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Lawrence Zitnick

Reference 22

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Observation 5628d32e-4f17-4a3b-88e7-0870913918fc · outbound

This paper cites Lingjærde, B.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Lingjærde, B

Reference 24

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Observation 0c269802-3b7d-453e-9e0c-04b962b4a34e · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 25

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Observation bab28396-200c-4dc2-b949-3e925d0a6977 · outbound

This paper cites The nonparanormal: Semiparametric estima- tion of high dimensional undirected graphs.Journal of Machine Learning Research (JMLR), 10:2295–2328, 2009.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso The nonparanormal: Semiparametric estima- tion of high dimensional undirected graphs.Journal of Machine Learning Research (JMLR), 10:2295–2328, 2009

Reference 26

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

Reference 27

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Observation e38c8e84-3916-4dd7-bb45-919ddf79fc11 · outbound

This paper cites Learning with Mixture of Prototypes for Out-of-Distribution Detection.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Learning with Mixture of Prototypes for Out-of-Distribution Detection

Reference 28

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Observation 8c97d973-346a-4f7f-aaee-afa53df420e0 · outbound

This paper cites Shufflenet V2: Practical guide- lines for efficient CNN architecture design.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Shufflenet V2: Practical guide- lines for efficient CNN architecture design

Reference 29

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Observation db9c168b-c4bb-414d-8f1f-4e029211f58c · outbound

This paper cites Learning transferable visual models from natural language supervision.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Learning transferable visual models from natural language supervision

Reference 30

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Ren et al

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Rong et al

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Shang et al

Reference 33

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Observation 9ceb0548-71e7-4f08-95dc-79f3d4ad4741 · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Scene labeling using sparse precision matrix

Reference 35

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Srivastava and G

Reference 36

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Observation 83eb41a0-6715-4b56-9d36-31da66e4f875 · outbound

This paper cites PaliGemma 2: A Family of Versatile VLMs for Transfer.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso PaliGemma 2: A Family of Versatile VLMs for Transfer

Reference 37

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso SigLIP 2: Multilingual Vision-Language Encoders with Improved Semantic Understanding, Localization, and Dense Features

Reference 39

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso The caltech-UCSD birds-200-2011 dataset

Reference 40

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Internimage: Exploring large- scale vision foundation models with deformable convolutions

Reference 41

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Observation 22da2e38-53c0-4a91-b7de-c60d5722af7f · outbound

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Groupvit: Semantic segmentation emerges from text supervision

Reference 44

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Xu et al

Reference 45

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Zeng et al

Reference 46

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Sigmoid loss for lan- guage image pre-training

Reference 47

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Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Unresolved cited work

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Observation ccb0a2b8-92b2-43ec-b6ef-b4a5df594075 · outbound

This paper cites Semantic understanding of scenes through the ADE20K dataset.International Journal of Computer Vision (IJCV), 127(3):302–321, 2019.

Multimodal Structure Learning: Disentangling Shared and Specific Topology via Cross-Modal Graphical Lasso Semantic understanding of scenes through the ADE20K dataset.International Journal of Computer Vision (IJCV), 127(3):302–321, 2019

Reference 49

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