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Paper Citation Record · LEDGER

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma

As of 24 August 2026, this Paper Citation Record lists 74 of 74 outbound references and 0 inbound Pith citation observations for arXiv:1908.09195.

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

pith.paper-citation-record.v1
1908.09195 v1

Coverage vector

measured 74 of 74 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-14T11:24:38.825810Z

measured 74 of 74 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-23T06:30:58.430688+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

74 of 74 outbound references displayed

  • verified exact1
  • verified fuzzy63
  • unresolved10
  • parse uncertain0
  • malformed identifier0
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation cc09a99b-85a7-4a50-b61b-3abf16a36ac8 · outbound

This paper cites Tensorflow: A system for large-scale machine learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tensorflow: A system for large-scale machine learning

Reference 1

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verified fuzzy
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Source-reported events for the cited work

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Observation f5cc4628-9ffd-4e5c-a2f9-3ee7aa5cfb50 · outbound

This paper cites Y., Diniz-Filho, A., Costa, V.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., Diniz-Filho, A., Costa, V

Reference 2

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Source-reported events for the cited work

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Observation e389df73-8471-44a2-a2f0-eaed1f87aa56 · outbound

This paper cites High-dimensional bayesian geostatistics.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma High-dimensional bayesian geostatistics

Reference 3

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Source-reported events for the cited work

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Observation 9d5ecc96-09e2-4a47-8e1c-cf6fbef7776a · outbound

This paper cites E., Thompson, P.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Thompson, P

Reference 4

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c8db1112-c089-4f4f-a84f-9dcd3db8fbe0 · outbound

This paper cites I., Mukherjee, S., Medeiros, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mukherjee, S., Medeiros, F

Reference 5

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verified exact
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 53876c64-8b9a-4b13-820b-0cb755c4a4b3 · outbound

This paper cites I., Mwanza, J.-C., Warren, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mwanza, J.-C., Warren, J

Reference 6

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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 2026-08-23T06:30:58.430688+00:00.

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Observation 6514b921-eb2c-4787-b97c-0637cc58b534 · outbound

This paper cites I., Mwanza, J.-C., Warren, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma I., Mwanza, J.-C., Warren, J

Reference 7

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.562329Z digest=sha256:7e046f935a4d5b82498876bbae5312317ac7c69a92906c6a1c4fbe7c9281de84

Observation ce7cd587-f96c-477f-81b4-2aeafb7d450e · outbound

This paper cites D., Morgan, W.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma D., Morgan, W

Reference 8

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation c9f23942-aab4-49c6-b1cd-2183fa107deb · outbound

This paper cites Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion).

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Bayesian spatiotemporal modeling using hierarchical spatial priors, with applications to functional magnetic resonance imaging (with discussion)

Reference 9

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 29edb59c-4993-4f07-bb66-8d3e9d315265 · outbound

This paper cites M., Kucukelbir, A., McAuliffe, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Kucukelbir, A., McAuliffe, J

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation e3c6725b-0881-478c-89d5-8c4a353c3ff1 · outbound

This paper cites R., Holan, S.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma R., Holan, S

Reference 11

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.578937Z digest=sha256:960c8a673335afa648cf085a867812db78d4199cf0aa5da2248161d5ac7e3165

Observation 62498a98-c729-4228-88e5-aa3cf79fddfd · outbound

This paper cites R., Eilers, P.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma R., Eilers, P

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.582992Z digest=sha256:2adf18b7e026826e7514c799e328a3e4c2a242c4f7043d63aed492547a107830

Observation d402b354-68b6-4351-9b5a-0024f23a876a · outbound

This paper cites P., Gelfand, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma P., Gelfand, A

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.586789Z digest=sha256:a9119dbc8e0a7264e1d918d70b10d189a8286028e2a8dd8523ef17eeea8977f4

Observation 602e248c-e97c-4eb0-9710-f7e160b8c91c · outbound

This paper cites Infogan: Interpretable representation learning by information maximizing generative adversarial nets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Infogan: Interpretable representation learning by information maximizing generative adversarial nets

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.591044Z digest=sha256:66058a3eee47253212e23b700768384910b1dd2ced4512284b5eaa4e519be4bd

Observation b9af8859-bc68-4e37-8e2e-c0670dce5506 · outbound

This paper cites an unresolved cited work.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Unresolved cited work

Reference 15

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.595089Z digest=sha256:9d6170e0990cbb5ceac636fee924df5071b22818d348f971ef0858b2958f5b29

Observation 84309546-4952-4b95-b375-a609d54d797e · outbound

This paper cites C., Bengio, Y., 2015.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Bengio, Y., 2015

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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.599095Z digest=sha256:8328e2afd38645729c8b49134aaf2db2e228d806cb50322b9137fca35beb6dd1

Observation 3812b29d-5559-4265-8f2e-838f6adb5068 · outbound

This paper cites Fixed rank kriging for very large spatial data sets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Fixed rank kriging for very large spatial data sets

Reference 17

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.603218Z digest=sha256:d643faf6b0a37f8adb996da3a69abe9eef3e04da8f0298de72cfb772cc6b1f5d

Observation f1acf82b-3870-4b04-a089-841725784749 · outbound

This paper cites O., Gelfand, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma O., Gelfand, A

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

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Observation 1bacf4cb-9c3d-4a69-a36d-58349b5f5721 · outbound

This paper cites P., Laird, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma P., Laird, N

Reference 19

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.522881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.610972Z digest=sha256:8d6325db30fa671e61bf7627db0bbe159649f4fa421add88eff0a2f93a71555c

Observation b038e30c-ae16-4911-b6ce-24bfe75e86ac · outbound

This paper cites Tutorial on Variational Autoencoders.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tutorial on Variational Autoencoders

Reference 20

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unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.614856Z digest=sha256:b3d9c9c03bacbb0d75bd8c82382f4d18c4163d1c7b0f9a5ff0d99629ce834ccc

Observation 6f4cffa6-8bcd-4536-8308-9536bf50a992 · outbound

This paper cites Adaptive subgradient methods for online learning and stochastic optimization.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Adaptive subgradient methods for online learning and stochastic optimization

Reference 21

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.619015Z digest=sha256:845e66c190021d2dcbb8132eafad32add89e2a92ec6db19feaead3508c5aab12

Observation 81087aed-5ace-4458-aeaf-8b43bad7229d · outbound

This paper cites W., Hitchings, R.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma W., Hitchings, R

Reference 22

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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 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.622824Z digest=sha256:ef54ef8281a354e28b7ed463a5d4d87f65bd79942041b9bab9f63f0cde4c293f

Observation 09cb0880-4dba-4b21-bfbc-77b05d587af6 · outbound

This paper cites Approximate likelihood for large irregularly spaced spatial data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Approximate likelihood for large irregularly spaced spatial data

Reference 23

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.626673Z digest=sha256:002e3357604baf8c2a858770757194afafbf3a1ce48378f664f04eb2895867f9

Observation ad1c2a77-56aa-45ea-a775-c3a618e9615b · outbound

This paper cites Generative adversarial nets.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Generative adversarial nets

Reference 24

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.476409Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.630541Z digest=sha256:e5888eb92b332fa66509ead4399501b06af463f61809e176d5520a6bcc0f6d27

Observation bf8de171-e2bb-44c6-b78a-40a45d0374ba · outbound

This paper cites M., Shapiro, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Shapiro, L

Reference 25

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.464510Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.634388Z digest=sha256:7ff3e319258ebbe222f9e74355a8abf103c6d414e7b7b111cedc87ff9fec4e56

Observation d5f8a944-0321-45a9-b1e7-41e25f3504f3 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Adam: A Method for Stochastic Optimization

Reference 26

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.638402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.638402Z digest=sha256:1cda7294d2e2f64d12d2ea0736cd8ff73919038ef5b0717a05395c5206cfbcb3

Observation e7b540df-5840-4c37-b591-fac7f160a121 · outbound

This paper cites Auto-Encoding Variational Bayes.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Auto-Encoding Variational Bayes

Reference 27

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.642464Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.642464Z digest=sha256:c92b670839ba9e4e8a18552227d4e307ae04ed1a9e88e5e1324a48aa2e7f6826

Observation e87d7a40-b4cc-49e7-b123-29c4fb58b8f8 · outbound

This paper cites E., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., 2012

Reference 28

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.452809Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.646896Z digest=sha256:993f0eb76681f205c9c70e0b3f85584893b7fefaad5c3caf9cc5cc82b266047a

Observation b09684a1-671a-492a-85d3-2a8cafc5f29e · outbound

This paper cites A., 1951.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., 1951

Reference 29

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.440812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.650759Z digest=sha256:a613a4e1da1710a6c9e94e8fccd03af5a97314142987fb4ebba66fe490d4d20a

Observation 14c0e614-4fc8-4ea0-8896-54d0409b1e8b · outbound

This paper cites M., Qi, J., 2000.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Qi, J., 2000

Reference 30

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.428573Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.654635Z digest=sha256:beda49fc7c36e779afde0c836924ac7dc80793f6cef098a37e9254f2a95ffca0

Observation bf3e6c26-8225-4e6d-ae3a-320b56b1f63b · outbound

This paper cites Deep learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Deep learning

Reference 31

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.416004Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.658520Z digest=sha256:2556ab433e47fa019073a027c31272175741637ac562690cc218286194d8e25f

Observation 20217aee-d2cf-448e-b823-b954643e5dd7 · outbound

This paper cites Y., 2009.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., 2009

Reference 32

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.404302Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.662291Z digest=sha256:6c623f1946357bc259b1079ffb1a4e970ce6a8916b895905e9502525a8d482b7

Observation 80ab3d2c-8eb8-42c3-ba81-25230ddb9f90 · outbound

This paper cites G., Lei, X., Breslow, N., 2000.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Lei, X., Breslow, N., 2000

Reference 33

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.392870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.665973Z digest=sha256:51aa554cf793c9483cee69122d9ce304c01f08e29337ef83d983596177bcbcef

Observation 0a8f13b8-b0d3-454f-aa37-99b0fe944894 · outbound

This paper cites Z., Maresh, E.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Z., Maresh, E

Reference 34

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.382060Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.669740Z digest=sha256:1ff7b8920b20d41ccf9c19cc98bc3c3c2fbb045fd1c70b8e19e0408f2910fb4b

Observation ee417406-d93e-4ecd-b83b-de87ee0da020 · outbound

This paper cites S., Hobbs, B.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., Hobbs, B

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.371477Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.673336Z digest=sha256:14fdc3bb0b5d067bc63eaa7e57946e1c1e2da292901e168bb42f569468c4712a

Observation 2dfe3274-c1b1-4d92-be74-98bfc1631240 · outbound

This paper cites G., Wang, Y., Zhu, H., Initiative, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Wang, Y., Zhu, H., Initiative, A

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.360411Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.677343Z digest=sha256:81ee7c221207e3f5cc9b691cbc9a6eb939bc07cd86458fd367fc187bbccc084c

Observation 7a65b9c2-630b-43d1-856b-dcf10a93cac7 · outbound

This paper cites L., Alfaro-Almagro, F., Bangerter, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma L., Alfaro-Almagro, F., Bangerter, N

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.348749Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.680948Z digest=sha256:c26a83c4e465b0273032c8861bf343d9001f637a6e1fb6ad77c6c527ece21081

Observation 548963f0-ce9d-46a9-81a8-4cd32fc1e232 · outbound

This paper cites S., Kong, L., Zhu, H., Initiative, A.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., Kong, L., Zhu, H., Initiative, A

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.337883Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.684553Z digest=sha256:d189f21e5b578c428efe0970964e0d65455e8d33afa2b22bdc1f0bc5dae5a6db

Observation a3414218-5b6d-41f1-a072-a31218799103 · outbound

This paper cites E., Ormerod, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Ormerod, J

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.325769Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.688321Z digest=sha256:fc7fb049f4a5715df24812acaca06499bfd154552908f8bf6167c30a996ffb6a

Observation e8f90a3a-2c56-4a13-a58f-b39794ada03e · outbound

This paper cites D., Trujillo-Barreto, N.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma D., Trujillo-Barreto, N

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.314996Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.691959Z digest=sha256:b8d3ec1dae3d9fb87a22ff169b89d5f766551e992d8c81e1ed08e0d605cfb1d2

Observation a698715f-7c69-467a-a87d-0928ed02ea66 · outbound

This paper cites G., Sokolov, V., et al., 2017.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma G., Sokolov, V., et al., 2017

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.302782Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.695657Z digest=sha256:8fef7767265e3856d0aaad50e1bb6f6fecf81c05fad5b0bbda668808042c5723

Observation f04294a8-a716-42ab-a8e1-06d88b539c91 · outbound

This paper cites Identification and correction of spurious spatial correlations in microarray data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Identification and correction of spurious spatial correlations in microarray data

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.291163Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.699281Z digest=sha256:a80450a0b5b2fbff0ff3aeb941faad908f1839e420b9dc11456058b36dfdd07e

Observation 479d88b1-9f9c-40b3-9a80-5d80cc00d6bc · outbound

This paper cites Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Unsupervised Representation Learning with Deep Convolutional Generative Adversarial Networks

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.702967Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.702967Z digest=sha256:4fdcf0e022114ddc7bb71f6ac7db5c02045fc19a17fd56bdd7deba692331884f

Observation 35be87b7-e7ad-4a92-9c00-4a1df44c69b0 · outbound

This paper cites Stochastic Backpropagation and Approximate Inference in Deep Generative Models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Stochastic Backpropagation and Approximate Inference in Deep Generative Models

Reference 44

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.707481Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.707481Z digest=sha256:53008a03736b77c5e73d28130d45f008d0bc114bdc5477dc94e8e6e242a9af80

Observation ba715505-ec27-4996-8980-0bdde8e3ebc6 · outbound

This paper cites Distribution Matching in Variational Inference.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Distribution Matching in Variational Inference

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.711723Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.711723Z digest=sha256:40452b366b16bf0e3edb5b9850e872971e3f84b70e873a591972349ee43742d7

Observation ec89a8f4-6bdd-46f2-a9b3-16404c43ad44 · outbound

This paper cites RStudio: Integrated Development Environment for R.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma RStudio: Integrated Development Environment for R

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.279642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.715753Z digest=sha256:a3dc1136007aef8b8af5cf4bd56fed61cb0d5f3b8d6b090fdae22d669f574258

Observation c3c01676-3161-4ce8-953a-3efddadd6ee1 · outbound

This paper cites E., Hinton, G.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Hinton, G

Reference 47

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.268189Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.719348Z digest=sha256:e9c5ccd2939941337d0a64d6c16334b9337319969498daf0ee5e633616e132e0

Observation 564148c6-544e-4de1-a57f-b11505e133f7 · outbound

This paper cites A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in greater london.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A spatio-temporal model for estimating the long-term effects of air pollution on respiratory hospital admissions in greater london

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.257670Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.723136Z digest=sha256:7524133909f89d45d46310a84e959a6362a9d395574e587893da98ebbb2c57ec

Observation 95fc8325-58b0-4872-80cd-9c0995cadcb2 · outbound

This paper cites Learning deep generative models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Learning deep generative models

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.246930Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.726972Z digest=sha256:fa2c00a0d959068d82e53a999b729caf9c8fbaab6d3eb3ca865beb39ec934780

Observation c9266da3-615a-4586-aeac-eb9e19284d98 · outbound

This paper cites A., Boden, C., Zhang, Z., Pascual, J., Lee, T.-W., Zangwill, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Boden, C., Zhang, Z., Pascual, J., Lee, T.-W., Zangwill, L

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.235881Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.730832Z digest=sha256:a58a8a44601139d412a79eac3593884aff573099c1591d1a307897aef7287d3a

Observation 180ca10e-8b21-4163-92a5-c6267384b22b · outbound

This paper cites A., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., 2012

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.225458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.734654Z digest=sha256:d2a553aa1a56e26cee9a89bdaaa57df872a46a40e97cea39d6ff8c07283f2a6b

Observation 68e33d3b-dbb8-4a39-b838-658b47909610 · outbound

This paper cites S., 1994.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma S., 1994

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.214963Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.739467Z digest=sha256:c2b82b3c65c3a9dd796d39d14e8f6a6a4916b7f2eefbcb2e79d189e766de7e1d

Observation a4d47b25-0151-4a83-9dd0-c5a320de11c8 · outbound

This paper cites Tapered covariance: Bayesian estimation and asymptotics.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Tapered covariance: Bayesian estimation and asymptotics

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.204751Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.742976Z digest=sha256:02c2629c85d99a6dd793743a630011b7636ccfbf2ca17e41a90ea510fc9294bd

Observation 63483c35-42d0-4906-8f94-e226f5488a40 · outbound

This paper cites M., Nichols, T.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Nichols, T

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.192783Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.746743Z digest=sha256:11f7a13a89d7e9b937b519caeade9d8d6802db6c1faf4744aeae1849d12f2462

Observation 7cf08dee-de05-4310-8665-808ccaa958a2 · outbound

This paper cites L., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma L., 2012

Reference 55

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.181686Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.750671Z digest=sha256:4902484b4d3befef57ecaafb72330d6f6196606fd3ec81fb714eba6031b4bd6e

Observation 123ffea5-21eb-43dc-ab3a-9ec9cac89dfa · outbound

This paper cites Y., Quigley, H.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Y., Quigley, H

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.170465Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.754512Z digest=sha256:1fa9fab19514c15508e990ef77b498f1c050ad21156b71dd192f941bc369c9b2

Observation 51effcf4-a6fb-4995-b1f2-4fcc5e322b67 · outbound

This paper cites E., Keeney, S., 2012.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma E., Keeney, S., 2012

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.159137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.758633Z digest=sha256:30350ddf8872a1e2ea8c8b5fa2f46ed6ad4ec60794d020b271b2de471df6af84

Observation 17e889ad-bd0b-49c0-8609-f5c500e8ce22 · outbound

This paper cites C., Smith, S.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Smith, S

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.148248Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.762700Z digest=sha256:0c8faf60edbea7c46803a1efe8c5b9e1e6ed5d646961a526ce21330419dac041

Observation 45c1474f-5c4c-43d0-b3b6-23bc178c67f0 · outbound

This paper cites V., 1988.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma V., 1988

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.137857Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.766963Z digest=sha256:0c4626ad6eb1b8f138e9cd4fb7b344dc2078a368e052e6900d447f3241ec56bf

Observation 736c558a-dcea-47ac-97c5-b05e32c5aa83 · outbound

This paper cites A bayesian approach for estimating dynamic functional network connectivity in fmri data.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A bayesian approach for estimating dynamic functional network connectivity in fmri data

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.126983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.771105Z digest=sha256:21a0fb9ace8ce0b4762966927a0982bea67f5f0183a3c7c7e31b5adab304c6e8

Observation 07c34e2a-c8aa-4bec-9ca6-fe579a5e9e3b · outbound

This paper cites N., Aung, T., Medeiros, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma N., Aung, T., Medeiros, F

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.116041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.774931Z digest=sha256:a7fdefd1b6e327357bad20dbdd92b8314f4c6b99c8d7b95cd71360e1f65ed366

Observation 1ea795b8-f563-4786-bad2-f447141ec6ba · outbound

This paper cites N., Leung, C.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma N., Leung, C

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.105017Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.778681Z digest=sha256:e34d4d33cc32e6716e67a220e68806d9fe19987ffd2ce81498df1b88b5377a16

Observation ebe726e6-aecd-44d0-a80b-91f1750b8408 · outbound

This paper cites C., Lee, C.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma C., Lee, C

Reference 63

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.093169Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.782595Z digest=sha256:94f094f3013be6497a8ecb5ee1103b87409ada3faa1d69ecc5f587e3a3b57521

Observation 5af44ebd-1ee0-45af-96e4-869d67cb78f3 · outbound

This paper cites K., Cressie, N., 1999.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma K., Cressie, N., 1999

Reference 64

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.081994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.786426Z digest=sha256:c8af1cc615dfb2bec7ea49a8912447955a4596cde54d5d8b99255096b01d1602

Observation 10bc24a2-5dc9-46d9-8940-5be2bf38a3df · outbound

This paper cites W., Jenkinson, M., Brady, J.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma W., Jenkinson, M., Brady, J

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.070719Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.790192Z digest=sha256:377a772d6748205092ec0f85a2ddf6966d23b827acca89c1cd0adbdfa563beaf

Observation e85e5b8b-1283-428c-b458-1c7bb6e96d9c · outbound

This paper cites Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Learning a probabilistic latent space of object shapes via 3d generative-adversarial modeling

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.057598Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.794152Z digest=sha256:6ef11e55da4bc3cf02e7d42f09223be036c51cc39b3708489a57afbaef6363d4

Observation e82c0203-50da-412b-a687-8f559e2fb29e · outbound

This paper cites J., Daga, F.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma J., Daga, F

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.043147Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.797921Z digest=sha256:411b9cf459160125283d6d89350b860dee90c56d7c3f6e0dc7aa085dfb639fe6

Observation 6db29974-85c0-4f91-8d18-514dc164836d · outbound

This paper cites Generative Adversarial Network in Medical Imaging: A Review.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Generative Adversarial Network in Medical Imaging: A Review

Reference 68

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.802007Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.802007Z digest=sha256:5c452e7e9c39b4ee95e6bb39f1f4016f1fe7a21b7c23dc784e098f979f632df5

Observation d8a1258e-ddfc-468f-8c4b-01259550da55 · outbound

This paper cites Detection of longitudinal visual field progression in glaucoma using machine learning.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Detection of longitudinal visual field progression in glaucoma using machine learning

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.029715Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.806284Z digest=sha256:f1c22a1ae98dd5c42ee68b4aba5a22efd23d887bb00827d2ae11288f773f2de9

Observation 28f52882-a552-483f-b7ec-e2f66d26ac73 · outbound

This paper cites A., Majewski, T., Czerniak, B.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Majewski, T., Czerniak, B

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.016010Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.810023Z digest=sha256:45091b2640cc43d976c3a23bde933e0267b4401314b117dd1d2350532969c514

Observation e9a82267-9152-40df-a9b1-aa73378faf13 · outbound

This paper cites M., Vannucci, M., et al., 2016 b.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma M., Vannucci, M., et al., 2016 b

Reference 71

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:39.003453Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.813900Z digest=sha256:a1df008505d1759a1a6d178b81d3600c6a797afb123480ea868ee9e99ff22dde

Observation 9829fd4d-cc65-4711-b886-84ad0d4a2da2 · outbound

This paper cites InfoVAE: Information Maximizing Variational Autoencoders.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma InfoVAE: Information Maximizing Variational Autoencoders

Reference 72

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.817815Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.817815Z digest=sha256:3b436253fc30861eb1813eeb2698e0b8cfc949f0d7225a196ecca2e43d37ebb8

Observation e4f02798-b422-468a-a74d-057fe8e3a262 · outbound

This paper cites Towards Deeper Understanding of Variational Autoencoding Models.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma Towards Deeper Understanding of Variational Autoencoding Models

Reference 73

Resolution
unresolved
no resolver link, observed 2026-08-14T11:24:38.821765Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-14T11:24:38.821765Z digest=sha256:32b6639afb60745923f01e493272e65df46fd8ce52c0bcad292f6ec2bc42f190

Observation e060356a-265d-45a6-8ebe-0cc53692d3ab · outbound

This paper cites A., Saunders, L.

Scalable Modeling of Spatiotemporal Data using the Variational Autoencoder: an Application in Glaucoma A., Saunders, L

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-14T11:24:38.990593Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.

source=arxiv_source observed=2026-08-14T11:24:38.825810Z digest=sha256:acfa54a671fa35dc40fe4cd7f6ee5b58a29d5571763858b64e6bcd406aea011c

Pith citing papers

No inbound Pith citation observations are available.