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Paper Citation Record · LEDGER

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport

As of 9 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2507.04999.

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

pith.paper-citation-record.v1
2507.04999 v1

Coverage vector

measured 24 of 24 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T19:39:37.072627Z

measured 24 of 24 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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

24 of 24 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 8a9ce602-35e7-4ff7-b3a0-1cab63f8f34f · outbound

This paper cites Advances in Neural Information Processing Systems 35, 39090–39102 (2022).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Advances in Neural Information Processing Systems 35, 39090–39102 (2022)

Reference 1

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Observation 5e928323-384b-4bb5-ab58-7c503bbdd0f5 · outbound

This paper cites International journal of retina and vitreous 1, 1–15 (2015).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport International journal of retina and vitreous 1, 1–15 (2015)

Reference 2

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Observation 7807d166-814c-485b-a51a-1af5fc088628 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition

Reference 3

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Observation 7b26a5a3-b0e2-4297-955d-f9b23b91b3e2 · outbound

This paper cites Investigative ophthalmology & visual science57(9), OCT1–OCT13 (2016).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Investigative ophthalmology & visual science57(9), OCT1–OCT13 (2016)

Reference 4

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Observation 0e476ffa-d960-4f14-8875-0f37aa084841 · outbound

This paper cites an unresolved cited work.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Unresolved cited work

Reference 5

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Observation 3f56f43d-1477-411b-8629-504c7f61da71 · outbound

This paper cites IEEE Journal of Biomedical and Health Informatics25(7), 2686–2697 (2020).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport IEEE Journal of Biomedical and Health Informatics25(7), 2686–2697 (2020)

Reference 6

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Observation a8162ed1-f7af-44ca-b0c9-07d1eee9e327 · outbound

This paper cites In: Proceedings of the AAAI Conference on Artificial Intelli- gence.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: Proceedings of the AAAI Conference on Artificial Intelli- gence

Reference 7

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Source-reported events for the cited work

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Observation b9297dda-a21c-4635-9c45-ef8006574951 · outbound

This paper cites FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling

Reference 8

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Observation 762126ea-010d-47aa-bed5-dbcdbef366ce · outbound

This paper cites In: International conference on machine learning.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: International conference on machine learning

Reference 9

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Observation 801c9022-6835-4de6-9650-8c75f074dd8b · outbound

This paper cites Foundations and Trends® in Machine Learning11(5-6), 355–607 (2019).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Foundations and Trends® in Machine Learning11(5-6), 355–607 (2019)

Reference 10

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Observation f0bea550-389b-4984-9752-afb162b05da4 · outbound

This paper cites Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Cross-modality Matching and Prediction of Perturbation Responses with Labeled Gromov-Wasserstein Optimal Transport

Reference 11

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Observation 934e7e09-0d2b-41b5-9e3d-cee5575f9f82 · outbound

This paper cites Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Examining Modality Incongruity in Multimodal Federated Learning for Medical Vision and Language-based Disease Detection

Reference 12

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Observation 39f98692-8011-4579-b8bd-29b68b00ad30 · outbound

This paper cites Pacific Journal of Mathematics21(2), 343–348 (1967).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Pacific Journal of Mathematics21(2), 343–348 (1967)

Reference 13

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Observation b67375a5-25b3-4ac5-ac31-06660b6fd3c9 · outbound

This paper cites Informa- tion Fusion110, 102454 (2024).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Informa- tion Fusion110, 102454 (2024)

Reference 14

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Source-reported events for the cited work

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Observation cb4f8a92-ddda-4154-8be8-06cd6533d8cd · outbound

This paper cites Advances in Neural Information Processing Systems (2017).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Advances in Neural Information Processing Systems (2017)

Reference 15

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Observation 3470bc67-bc9e-4daf-b54c-b35223d77a35 · outbound

This paper cites Advances in Neural Information Pro- cessing Systems 36 (2024).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Advances in Neural Information Pro- cessing Systems 36 (2024)

Reference 16

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Observation 4df26fe0-9dbe-4fed-99be-a5a250fd9b8e · outbound

This paper cites In: 2021 IEEE/CVF InternationalConferenceonComputerVision(ICCV).pp.1793–1802.IEEE(2021).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: 2021 IEEE/CVF InternationalConferenceonComputerVision(ICCV).pp.1793–1802.IEEE(2021)

Reference 17

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Observation ead81c08-b4c7-4d47-8f50-9da60e0543b8 · outbound

This paper cites In: Proceedings of the European conference on computer vision (ECCV).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: Proceedings of the European conference on computer vision (ECCV)

Reference 18

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Observation e9d3db96-b7ec-43e8-b3f0-0eb97927d106 · outbound

This paper cites Medical Image Analysis 90, 102938 (2023).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Medical Image Analysis 90, 102938 (2023)

Reference 19

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Observation 4c009f8c-006e-4051-8247-3f60a2ce7d5e · outbound

This paper cites Deep Multimodal Learning with Missing Modality: A Survey.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Deep Multimodal Learning with Missing Modality: A Survey

Reference 20

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Observation aabc12bb-31af-4769-822f-d98069fa9f0e · outbound

This paper cites In: Proceedings of the IEEE/CVF International Conference on Computer Vision.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: Proceedings of the IEEE/CVF International Conference on Computer Vision

Reference 21

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Observation d4c8d87f-cbf9-4462-b6d9-6a07dc8e5fee · outbound

This paper cites In: Medical Imaging With Deep Learning.

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport In: Medical Imaging With Deep Learning

Reference 22

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Source-reported events for the cited work

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Observation dae3e006-d5d8-4666-84fb-d38a6a5d452f · outbound

This paper cites Computer Methods and Pro- grams in Biomedicine229, 107307 (2023).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Computer Methods and Pro- grams in Biomedicine229, 107307 (2023)

Reference 23

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Observation df4b46d9-d966-42bd-8ee8-12ee8fff8091 · outbound

This paper cites Medical Image Analysis 96, 103214 (2024).

Robust Incomplete-Modality Alignment for Ophthalmic Disease Grading and Diagnosis via Labeled Optimal Transport Medical Image Analysis 96, 103214 (2024)

Reference 24

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Pith citing papers

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