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Paper Citation Record · LEDGER

Tables Guide Vision: Learning to See the Heart through Tabular Data

As of 5 August 2026, this Paper Citation Record lists 51 of 51 outbound references and 1 inbound Pith citation observation for arXiv:2503.14998.

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

pith.paper-citation-record.v1
2503.14998 v3

Coverage vector

measured 51 of 51 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-22T23:08:34.301889Z

measured 52 of 52 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-05T06:32:48.257954+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-03T14:45:18.756176Z

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

51 of 51 outbound references displayed

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  • verified fuzzy37
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cfbac37a-dba6-4c3c-b807-a91966739e76 · outbound

This paper cites an unresolved cited work.

Tables Guide Vision: Learning to See the Heart through Tabular Data Unresolved cited work

Reference 1

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Source-reported events for the cited work

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Observation f6cb7f1f-055d-4b90-aefe-e6437ffcac20 · outbound

This paper cites Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.Journal of cardiovascular magnetic resonance, 20(1):65.

Tables Guide Vision: Learning to See the Heart through Tabular Data Automated cardiovascular magnetic resonance image analysis with fully convolutional networks.Journal of cardiovascular magnetic resonance, 20(1):65

Reference 2

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Observation 6985d1d2-09d8-4a71-927f-0ca6dc51c16c · outbound

This paper cites A survey on deep multimodal learning for com- puter vision: advances, trends, applications, and datasets.

Tables Guide Vision: Learning to See the Heart through Tabular Data A survey on deep multimodal learning for com- puter vision: advances, trends, applications, and datasets

Reference 3

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Source-reported events for the cited work

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Observation 7ad1cb0b-9948-4266-adfc-bc25777cba96 · outbound

This paper cites Fff: Fixing flawed foundations in contrastive pre-training re- sults in very strong vision-language models.

Tables Guide Vision: Learning to See the Heart through Tabular Data Fff: Fixing flawed foundations in contrastive pre-training re- sults in very strong vision-language models

Reference 4

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Source-reported events for the cited work

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Observation 1a0c7cc7-8f18-4cbc-be1d-86f0a0de1a66 · outbound

This paper cites MONAI: An open-source framework for deep learning in healthcare.

Tables Guide Vision: Learning to See the Heart through Tabular Data MONAI: An open-source framework for deep learning in healthcare

Reference 5

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Source-reported events for the cited work

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Observation c73c3f1d-43a2-43f9-8654-c3c4d81c254e · outbound

This paper cites A simple framework for contrastive learning of visual representations.

Tables Guide Vision: Learning to See the Heart through Tabular Data A simple framework for contrastive learning of visual representations

Reference 6

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 152636ee-c3d3-4b5f-a06b-4d279981069b · outbound

This paper cites Incremental False Negative Detection for Contrastive Learning.

Tables Guide Vision: Learning to See the Heart through Tabular Data Incremental False Negative Detection for Contrastive Learning

Reference 7

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Source-reported events for the cited work

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Observation e91c9696-1b43-4a9f-b156-29ad31f1dc34 · outbound

This paper cites Exploring simple siamese rep- resentation learning.

Tables Guide Vision: Learning to See the Heart through Tabular Data Exploring simple siamese rep- resentation learning

Reference 8

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Source-reported events for the cited work

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Observation cd38fb0c-78ff-4296-9175-c44e9de5227e · outbound

This paper cites O’Regan, and Chen Qin.

Tables Guide Vision: Learning to See the Heart through Tabular Data O’Regan, and Chen Qin

Reference 9

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Source-reported events for the cited work

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Observation 7ab8b994-44e8-4d99-bb72-43c7d44dbcb2 · outbound

This paper cites O’Regan, and Chen Qin.

Tables Guide Vision: Learning to See the Heart through Tabular Data O’Regan, and Chen Qin

Reference 10

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Source-reported events for the cited work

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Observation 70f5ab3d-abe0-4ba2-b2c2-76b08a37df0f · outbound

This paper cites Time and the patient–physician relationship.Journal of gen- eral internal medicine, 14(Suppl 1):S34.

Tables Guide Vision: Learning to See the Heart through Tabular Data Time and the patient–physician relationship.Journal of gen- eral internal medicine, 14(Suppl 1):S34

Reference 11

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Source-reported events for the cited work

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Observation 4386c648-1e68-4511-9aa2-005a057f0326 · outbound

This paper cites General cardiovascular risk profile for use in primary care: the framingham heart study.Circu- lation, 117(6):743–753.

Tables Guide Vision: Learning to See the Heart through Tabular Data General cardiovascular risk profile for use in primary care: the framingham heart study.Circu- lation, 117(6):743–753

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e445551a-0456-45f6-be83-117aa95d8478 · outbound

This paper cites Learning visual representations via language-guided sam- pling.

Tables Guide Vision: Learning to See the Heart through Tabular Data Learning visual representations via language-guided sam- pling

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 07e917f8-9772-4812-ae05-2018d1f6e6d9 · outbound

This paper cites Scaling Language-Free Visual Representation Learning.

Tables Guide Vision: Learning to See the Heart through Tabular Data Scaling Language-Free Visual Representation Learning

Reference 14

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cb4560d1-44a4-44bf-9f32-bc4052052f28 · outbound

This paper cites Softclip: Softer cross-modal alignment makes clip stronger.

Tables Guide Vision: Learning to See the Heart through Tabular Data Softclip: Softer cross-modal alignment makes clip stronger

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation aa9a4f97-5d78-4b31-b799-8cbad2d3ac6d · outbound

This paper cites Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284.

Tables Guide Vision: Learning to See the Heart through Tabular Data Bootstrap your own latent-a new approach to self-supervised learning.Advances in neural information processing systems, 33:21271–21284

Reference 16

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation cc5cd350-2675-4555-8736-3a218358beff · outbound

This paper cites Dimensional- ity reduction by learning an invariant mapping.

Tables Guide Vision: Learning to See the Heart through Tabular Data Dimensional- ity reduction by learning an invariant mapping

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a963e354-6704-4f3e-a548-b64eed7a8b0c · outbound

This paper cites Best of both worlds: Multimodal contrastive learning with tabular and imaging data.

Tables Guide Vision: Learning to See the Heart through Tabular Data Best of both worlds: Multimodal contrastive learning with tabular and imaging data

Reference 18

Resolution
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Observation 272f0e78-a0c5-456d-900d-8c7b6ba7929c · outbound

This paper cites Can spatiotemporal 3d cnns retrace the history of 2d cnns and im- agenet? InProceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 6546–6555.

Tables Guide Vision: Learning to See the Heart through Tabular Data Can spatiotemporal 3d cnns retrace the history of 2d cnns and im- agenet? InProceedings of the IEEE conference on Computer Vision and Pattern Recognition, pages 6546–6555

Reference 19

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation a69c60bc-5b34-480b-9b09-0ad1bb6aa9f3 · outbound

This paper cites Deep residual learning for image recognition.

Tables Guide Vision: Learning to See the Heart through Tabular Data Deep residual learning for image recognition

Reference 20

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation df03c30d-e1da-4f2b-9119-b3452047e7fc · outbound

This paper cites Metadata-enhanced contrastive learning from retinal optical coherence tomography images.Medical Im- age Analysis, 97:103296.

Tables Guide Vision: Learning to See the Heart through Tabular Data Metadata-enhanced contrastive learning from retinal optical coherence tomography images.Medical Im- age Analysis, 97:103296

Reference 21

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6a1235a5-8eec-4a8c-a195-45453a168061 · outbound

This paper cites A comprehensive survey on contrastive learning.Neu- rocomputing, page 128645.

Tables Guide Vision: Learning to See the Heart through Tabular Data A comprehensive survey on contrastive learning.Neu- rocomputing, page 128645

Reference 22

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 59c1a6ac-52cc-4a28-b455-2d7a9dda42fd · outbound

This paper cites Dvm-car: A large-scale automotive dataset for visual marketing research and applications.

Tables Guide Vision: Learning to See the Heart through Tabular Data Dvm-car: A large-scale automotive dataset for visual marketing research and applications

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation c25eeb8e-c7a0-4c30-9b5f-ee68759b10ed · outbound

This paper cites Boosting contrastive self- supervised learning with false negative cancellation.

Tables Guide Vision: Learning to See the Heart through Tabular Data Boosting contrastive self- supervised learning with false negative cancellation

Reference 24

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 12a898bc-5830-4ef1-82fc-60a3956764e1 · outbound

This paper cites Audio-visual contrastive learning with temporal self- supervision.

Tables Guide Vision: Learning to See the Heart through Tabular Data Audio-visual contrastive learning with temporal self- supervision

Reference 25

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation a94d46cf-9230-45dc-881c-f5c23f53b961 · outbound

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Tables Guide Vision: Learning to See the Heart through Tabular Data Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 6214ded5-34a5-43f0-8325-57f7426fe0d4 · outbound

This paper cites Active Contrastive Learning of Audio-Visual Video Representations.

Tables Guide Vision: Learning to See the Heart through Tabular Data Active Contrastive Learning of Audio-Visual Video Representations

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 91103e2c-60e0-48cc-ac98-de9818564193 · outbound

This paper cites Representation Learning with Contrastive Predictive Coding.

Tables Guide Vision: Learning to See the Heart through Tabular Data Representation Learning with Contrastive Predictive Coding

Reference 28

Resolution
verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 4beba13e-ff58-4f96-a3d5-f865b017c67f · outbound

This paper cites Foundation model for cancer imaging biomarkers.Nature machine intelligence, 6(3):354–367.

Tables Guide Vision: Learning to See the Heart through Tabular Data Foundation model for cancer imaging biomarkers.Nature machine intelligence, 6(3):354–367

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 41f178dc-22f4-42eb-9d78-90cfb782a118 · outbound

This paper cites Exploring scalable medical image encoders beyond text supervision.Nature Machine Intelligence, pages 1–12.

Tables Guide Vision: Learning to See the Heart through Tabular Data Exploring scalable medical image encoders beyond text supervision.Nature Machine Intelligence, pages 1–12

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation e8c1273c-6f71-4b52-b1bc-9d602a7bf79e · outbound

This paper cites Learning transferable visual models from natural language supervi- sion.

Tables Guide Vision: Learning to See the Heart through Tabular Data Learning transferable visual models from natural language supervi- sion

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation acdd2814-9dbd-46b3-be74-6af4fa6bd928 · outbound

This paper cites Pierre, Mathias Peirlinck, and Ellen Kuhl.

Tables Guide Vision: Learning to See the Heart through Tabular Data Pierre, Mathias Peirlinck, and Ellen Kuhl

Reference 32

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 3de5b889-585d-4222-a9e1-985425cdb7d4 · outbound

This paper cites Uk biobank: an open access resource for identifying the causes of a wide range of com- plex diseases of middle and old age.PLoS medicine, 12(3): e1001779.

Tables Guide Vision: Learning to See the Heart through Tabular Data Uk biobank: an open access resource for identifying the causes of a wide range of com- plex diseases of middle and old age.PLoS medicine, 12(3): e1001779

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 5e1a1808-1832-4c4c-8217-855d52defce6 · outbound

This paper cites Lightly.https://github.

Tables Guide Vision: Learning to See the Heart through Tabular Data Lightly.https://github

Reference 34

Resolution
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Observation f5c87a75-6b0b-4ea2-aedd-047bdf85427a · outbound

This paper cites Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics.

Tables Guide Vision: Learning to See the Heart through Tabular Data Contig: Self-supervised multimodal contrastive learning for medical imaging with genetics

Reference 35

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Observation 9f6ef496-1106-4baa-938d-c7bb3b4f89f2 · outbound

This paper cites Why Tabular Foundation Models Should Be a Research Priority.

Tables Guide Vision: Learning to See the Heart through Tabular Data Why Tabular Foundation Models Should Be a Research Priority

Reference 36

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Observation d340e6ad-03a5-4e62-aff3-5a416f56b226 · outbound

This paper cites MedCLIP: Contrastive Learning from Unpaired Medical Images and Text.

Tables Guide Vision: Learning to See the Heart through Tabular Data MedCLIP: Contrastive Learning from Unpaired Medical Images and Text

Reference 37

Resolution
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Observation 959622b6-419c-459b-a2af-7c998b57e1ea · outbound

This paper cites Relax- ing binary constraints in contrastive vision-language medi- cal representation learning.

Tables Guide Vision: Learning to See the Heart through Tabular Data Relax- ing binary constraints in contrastive vision-language medi- cal representation learning

Reference 38

Resolution
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Observation ea6fff6e-571d-4367-b23e-9bc403806eb8 · outbound

This paper cites Cardiovascular diseases (cvds).

Tables Guide Vision: Learning to See the Heart through Tabular Data Cardiovascular diseases (cvds)

Reference 39

Resolution
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Observation 9b0e8c16-b01e-431f-b267-30e8109fc849 · outbound

This paper cites an unresolved cited work.

Tables Guide Vision: Learning to See the Heart through Tabular Data Unresolved cited work

Reference 40

Resolution
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Observation 6bd50b72-2545-4845-a687-8ef0a8f15af9 · outbound

This paper cites Barlow twins: Self-supervised learning via redundancy reduction.

Tables Guide Vision: Learning to See the Heart through Tabular Data Barlow twins: Self-supervised learning via redundancy reduction

Reference 41

Resolution
verified fuzzy
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Observation a05d78e0-6a52-4330-9abf-a77e54ab2c96 · outbound

This paper cites Contrastive learning of medical visual representations from paired images and text.

Tables Guide Vision: Learning to See the Heart through Tabular Data Contrastive learning of medical visual representations from paired images and text

Reference 42

Resolution
verified fuzzy
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Observation 60ec8ded-561b-4382-b4ff-ef4bada71980 · outbound

This paper cites MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging.

Tables Guide Vision: Learning to See the Heart through Tabular Data MGI: Multimodal Contrastive pre-training of Genomic and Medical Imaging

Reference 43

Resolution
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Observation f9ee4512-e285-4ed9-b11a-f76134b28fec · outbound

This paper cites Self-supervised multimodal learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence.

Tables Guide Vision: Learning to See the Heart through Tabular Data Self-supervised multimodal learning: A survey.IEEE Transactions on Pattern Analysis and Machine Intelligence

Reference 44

Resolution
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Observation c8174ea7-0cc8-4d91-93e6-6c1ee39b1061 · outbound

This paper cites Tabular Attributes Table 5 presents a comprehensive list of tabular attributes from the UK Biobank that were used for tabular similarity calculation during pretraining.

Tables Guide Vision: Learning to See the Heart through Tabular Data Tabular Attributes Table 5 presents a comprehensive list of tabular attributes from the UK Biobank that were used for tabular similarity calculation during pretraining

Reference 45

Resolution
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Observation cd9e7943-8c92-4693-a132-27b08209798e · outbound

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Tables Guide Vision: Learning to See the Heart through Tabular Data Unresolved cited work

Reference 46

Resolution
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Observation 929f6b97-dfe4-43c4-ab33-1cc14f5d2801 · outbound

This paper cites Performance under Low-Data Regimes (Com- plete) Fig.

Tables Guide Vision: Learning to See the Heart through Tabular Data Performance under Low-Data Regimes (Com- plete) Fig

Reference 47

Resolution
verified fuzzy
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Source-reported events for the cited work

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Observation 2b419a2a-6c23-422a-9c02-82f8a0868f74 · outbound

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Tables Guide Vision: Learning to See the Heart through Tabular Data Unresolved cited work

Reference 48

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Observation c0f07a9c-288a-4fd8-9fd3-64f26682c4d6 · outbound

This paper cites The experiment is performed us- ing the image encoder pretrained with TGV and the results are reported in Table 7.

Tables Guide Vision: Learning to See the Heart through Tabular Data The experiment is performed us- ing the image encoder pretrained with TGV and the results are reported in Table 7

Reference 49

Resolution
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Observation cf98249a-e7d0-4188-bfa9-98c6918359ec · outbound

This paper cites CAD prediction shows the highest standard de- viation, which is reflective of the small number of CAD positive cases in the UK Biobank.

Tables Guide Vision: Learning to See the Heart through Tabular Data CAD prediction shows the highest standard de- viation, which is reflective of the small number of CAD positive cases in the UK Biobank

Reference 50

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Observation 67e9f357-5dce-47da-be58-2feeefba8ac5 · outbound

This paper cites Dataset To assess whether TGV can generalize to other domains and datasets, we use the Data Visual Marketing (DVM) car dataset [23].

Tables Guide Vision: Learning to See the Heart through Tabular Data Dataset To assess whether TGV can generalize to other domains and datasets, we use the Data Visual Marketing (DVM) car dataset [23]

Reference 51

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-05T06:32:48.257954+00:00.

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Pith citing papers

Observation 97dc18f6-626b-4085-8c2b-d254a6777704 · inbound

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values cites this paper.

No Data? No Problem: Robust Vision-Tabular Learning with Missing Values Tables Guide Vision: Learning to See the Heart through Tabular Data

Reference 15

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