Paper Citation Record · LEDGER

Balanced Soft mixture-of-expert model for Glaucoma Detection

As of 9 August 2026, this Paper Citation Record lists 38 of 38 outbound references and 0 inbound Pith citation observations for arXiv:2607.25324.

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

pith.paper-citation-record.v1
2607.25324 v1

Coverage vector

measured 38 of 38 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-01T02:47:59.302470Z

measured 38 of 38 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

38 of 38 outbound references displayed

verified exact8
verified fuzzy0
unresolved29
parse uncertain0
malformed identifier1
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation b8bbefbe-d351-4200-98ce-c51693cd7b54 · outbound

This paper cites https://glaucoma.

Balanced Soft mixture-of-expert model for Glaucoma Detection https://glaucoma

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.209375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8c69f04f-3880-408e-86ed-46f107d8edb3 · outbound

This paper cites https://www.mayoclinic.org/ diseases-conditions/glaucoma/symptoms-causes/syc-20372839.

Balanced Soft mixture-of-expert model for Glaucoma Detection https://www.mayoclinic.org/ diseases-conditions/glaucoma/symptoms-causes/syc-20372839

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.212606Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f2921753-3a26-4970-a7ed-4d8ea9515eda · outbound

This paper cites Survey of Ophthalmology53(Suppl 1), 17–36 (2008) https://doi.org/10.1016/j.survophthal.2007.11.008.

Balanced Soft mixture-of-expert model for Glaucoma Detection Survey of Ophthalmology53(Suppl 1), 17–36 (2008) https://doi.org/10.1016/j.survophthal.2007.11.008

Reference 3

Resolution: verified exact; doi, observed 2026-08-01T02:51:44.522256Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation c75a7b4d-7833-4aab-ae26-ae485631d1c0 · outbound

This paper cites Ophthalmology126(12), 1627–1639 (2019) https: //doi.org/10.1016/j.ophtha.2019.07.024.

Balanced Soft mixture-of-expert model for Glaucoma Detection Ophthalmology126(12), 1627–1639 (2019) https: //doi.org/10.1016/j.ophtha.2019.07.024

Reference 4

Resolution: verified exact; doi, observed 2026-08-01T02:51:44.321446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 3d719bd6-9882-4fe4-8d47-86a074f0e80d · outbound

This paper cites Scientific Reports8(1), 16685 (2018) https://doi.org/10.1038/s41598-018-35044-9.

Balanced Soft mixture-of-expert model for Glaucoma Detection Scientific Reports8(1), 16685 (2018) https://doi.org/10.1038/s41598-018-35044-9

Reference 5

Resolution: verified exact; doi, observed 2026-08-01T02:51:44.183102Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 0ec92499-d0ca-4141-9c05-cb8d5bdc3b77 · outbound

This paper cites PLOS ONE13(12), 0207982 (2018) https://doi.org/10.1371/journal.pone.0207982.

Balanced Soft mixture-of-expert model for Glaucoma Detection PLOS ONE13(12), 0207982 (2018) https://doi.org/10.1371/journal.pone.0207982

Reference 6

Resolution: verified exact; doi, observed 2026-08-01T02:51:44.036537Z

Source-reported events for the cited work

correction dated 2019-01-25. Source: crossref record 10.1371/journal.pone.0211579->10.1371/journal.pone.0207982:correction, observed 2026-07-11T02:58:58.17247+00:00. This notice travels one citation hop only.

Observation ac48281f-bd5e-48a6-8088-d668977d0c3d · outbound

This paper cites IEEE Transactions on Medical Imaging39(2), 413–424 (2020) https://doi.org/ 10.1109/TMI.2019.2927226.

Balanced Soft mixture-of-expert model for Glaucoma Detection IEEE Transactions on Medical Imaging39(2), 413–424 (2020) https://doi.org/ 10.1109/TMI.2019.2927226

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.226914Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7acdf021-1c80-427a-a6a5-3d0e0d60bfb5 · outbound

This paper cites American Journal of Ophthalmology (2025).

Balanced Soft mixture-of-expert model for Glaucoma Detection American Journal of Ophthalmology (2025)

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.229677Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ae1207a0-e2ae-4aae-9b97-ef051425f8a2 · outbound

This paper cites In: Proc.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proc

Reference 9

Resolution: malformed identifier; no resolver link, observed 2026-08-01T02:47:59.231948Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dc867c82-f245-49b0-982a-01e54a931ca6 · outbound

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

Balanced Soft mixture-of-expert model for Glaucoma Detection FairVision: Equitable Deep Learning for Eye Disease Screening via Fair Identity Scaling

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.234373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f94e2e1a-d7ba-448f-ae72-f06a7fcb75c9 · outbound

This paper cites FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification.

Balanced Soft mixture-of-expert model for Glaucoma Detection FairDomain: Achieving Fairness in Cross-Domain Medical Image Segmentation and Classification

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.237283Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9e935ef9-1a06-4150-a73a-f473b5f6b0a5 · outbound

This paper cites IEEE Transactions on Medical Imaging 43(7), 2623–2633 (2024) https://doi.org/10.1109/TMI.2024.3377552.

Balanced Soft mixture-of-expert model for Glaucoma Detection IEEE Transactions on Medical Imaging 43(7), 2623–2633 (2024) https://doi.org/10.1109/TMI.2024.3377552

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.240209Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fb6dcfa6-2f58-4586-8c17-ebe0620187c9 · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017).

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR) (2017)

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.242564Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3befc763-1220-4ef7-be0d-da818a5bc6e3 · outbound

This paper cites In: Proceedings of the 36th International Conference on Machine Learning (ICML), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the 36th International Conference on Machine Learning (ICML), pp

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.244978Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0e3216e7-349e-41ad-838f-29c4903a9a9c · outbound

This paper cites In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.247554Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f70a68f-1eb9-432e-9e65-f9d7139d09f7 · outbound

This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.

Balanced Soft mixture-of-expert model for Glaucoma Detection An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.250082Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bc8f5dfb-0382-465e-9120-15b5a4ee2148 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) https://doi.org/10.1109/TPAMI.2024.3468315.

Balanced Soft mixture-of-expert model for Glaucoma Detection IEEE Transactions on Pattern Analysis and Machine Intelligence (2024) https://doi.org/10.1109/TPAMI.2024.3468315

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.252708Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10b8d3a8-c446-4555-b67b-5c6557134fbb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.255053Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 77882d22-620e-4ddb-be76-fa23e1fcbdff · outbound

This paper cites In: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS) (2024).

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the Thirty-Eighth Annual Conference on Neural Information Processing Systems (NeurIPS) (2024)

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.257373Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2e156b7c-6625-4a7b-adfc-cc7907e80794 · outbound

This paper cites In: Proceedings of the Multi-Modal Learning and Applications Workshop (MULA), CVPR (2023).

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the Multi-Modal Learning and Applications Workshop (MULA), CVPR (2023)

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.259701Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 92e89c08-af03-44a6-9ee2-58e625bdf74a · outbound

This paper cites Translational Vision Science & Technology9(2), 12 (2020) https://doi.org/10.1167/tvst.9.2.12.

Balanced Soft mixture-of-expert model for Glaucoma Detection Translational Vision Science & Technology9(2), 12 (2020) https://doi.org/10.1167/tvst.9.2.12

Reference 21

Resolution: verified exact; doi, observed 2026-08-01T02:51:43.888099Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 688d67bc-927c-43a7-92c2-992f53ad6def · outbound

This paper cites Ophthalmology127(3), 346–356 (2020) https://doi.org/10.1016/j.ophtha.2019.09.036.

Balanced Soft mixture-of-expert model for Glaucoma Detection Ophthalmology127(3), 346–356 (2020) https://doi.org/10.1016/j.ophtha.2019.09.036

Reference 22

Resolution: verified exact; doi, observed 2026-08-01T02:51:43.682454Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 4ea32521-9ae6-4998-9c72-dde3d5f964ed · outbound

This paper cites Frontiers in Neuroscience16, 939472 (2022) https://doi.org/10.3389/fnins.2022.939472.

Balanced Soft mixture-of-expert model for Glaucoma Detection Frontiers in Neuroscience16, 939472 (2022) https://doi.org/10.3389/fnins.2022.939472

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.266690Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 153ea956-7ff0-4c1d-813f-fa80a7fab6b9 · outbound

This paper cites ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading.

Balanced Soft mixture-of-expert model for Glaucoma Detection ELF: An End-to-end Local and Global Multimodal Fusion Framework for Glaucoma Grading

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.268965Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5e310b5b-2b16-474b-86a6-585f53ad692f · outbound

This paper cites COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading.

Balanced Soft mixture-of-expert model for Glaucoma Detection COROLLA: An Efficient Multi-Modality Fusion Framework with Supervised Contrastive Learning for Glaucoma Grading

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.271480Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5413fa35-dd22-43d6-a0ed-4561fba6335f · outbound

This paper cites Scientific Reports13, 2254 (2023) https://doi.org/10.1038/s41598-022-27045-6.

Balanced Soft mixture-of-expert model for Glaucoma Detection Scientific Reports13, 2254 (2023) https://doi.org/10.1038/s41598-022-27045-6

Reference 26

Resolution: verified exact; doi, observed 2026-08-01T02:51:43.534463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation 59f711d2-e998-4475-b586-ffeb556e3a0b · outbound

This paper cites In: Advances in Neural Information Processing Systems.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Advances in Neural Information Processing Systems

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.276447Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 224dfbd5-674c-48ff-aff8-9479e031e128 · outbound

This paper cites Computation13(4), 88 (2025) https://doi.org/10.3390/computation13040088.

Balanced Soft mixture-of-expert model for Glaucoma Detection Computation13(4), 88 (2025) https://doi.org/10.3390/computation13040088

Reference 28

Resolution: verified exact; doi, observed 2026-08-01T02:51:43.422406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

Observation d9a2ca5c-4ae6-4ffe-88f7-2a64d5df2344 · outbound

This paper cites In: Medical Imaging with Deep Learning (MIDL), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Medical Imaging with Deep Learning (MIDL), pp

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.281302Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6334c159-dc1a-4df7-a9ad-9223260dd03b · outbound

This paper cites Nature622, 156– 163 (2023) https://doi.org/10.1038/s41586-023-06555-x.

Balanced Soft mixture-of-expert model for Glaucoma Detection Nature622, 156– 163 (2023) https://doi.org/10.1038/s41586-023-06555-x

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.283500Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5d993356-2450-46d8-b033-687ab18e4cf3 · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.285871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bb66197c-9320-4c3f-b3b3-90fe1739e58d · outbound

This paper cites Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer.

Balanced Soft mixture-of-expert model for Glaucoma Detection Outrageously Large Neural Networks: The Sparsely-Gated Mixture-of-Experts Layer

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.288305Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab24cf02-cc7c-4fa3-aee7-308156a8839c · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10814 (2023) https://doi.org/10.1109/TPAMI.2022.3201094.

Balanced Soft mixture-of-expert model for Glaucoma Detection IEEE Transactions on Pattern Analysis and Machine Intelligence45(9), 10795–10814 (2023) https://doi.org/10.1109/TPAMI.2022.3201094

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.290853Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a27fafc2-59ad-4a5c-9246-13362dd34211 · outbound

This paper cites IEEE Transactions on Pattern Analysis and Machine Intel- ligence41(2), 423–443 (2019) https://doi.org/10.1109/TPAMI.2018.2798607.

Balanced Soft mixture-of-expert model for Glaucoma Detection IEEE Transactions on Pattern Analysis and Machine Intel- ligence41(2), 423–443 (2019) https://doi.org/10.1109/TPAMI.2018.2798607

Reference 34

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.293158Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b604cc05-841b-485e-838a-ca3b0ff709bb · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.295375Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f67983c0-b614-4fdb-8f4f-80f7cdadedec · outbound

This paper cites In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE/CVF Con- ference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.297799Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4afba354-dfbf-4ec4-80d2-18ffb4f51917 · outbound

This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.

Balanced Soft mixture-of-expert model for Glaucoma Detection MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.300051Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03c587a0-e1fa-4d4f-aed2-f25a3528f17d · outbound

This paper cites In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp.

Balanced Soft mixture-of-expert model for Glaucoma Detection In: Proceedings of the IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR), pp

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-01T02:47:59.302470Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.