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Paper Citation Record · LEDGER

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder

As of 19 August 2026, this Paper Citation Record lists 57 of 57 outbound references and 0 inbound Pith citation observations for arXiv:2506.01216.

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pith.paper-citation-record.v1
2506.01216 v1

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Outbound references

Observation 7f461e60-7e6f-4a82-9c42-86ddc295b5a1 · outbound

This paper cites 2024, PASP, 136, 124504, doi: 10.1088/1538-3873/ad9a7d.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2024, PASP, 136, 124504, doi: 10.1088/1538-3873/ad9a7d

Reference 1

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Observation 093da79a-72ec-4227-87c6-c4f4bc558019 · outbound

This paper cites 2019, MNRAS, 482, 5078, doi: 10.1093/mnras/sty2836.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, MNRAS, 482, 5078, doi: 10.1093/mnras/sty2836

Reference 2

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Unresolved cited work

Reference 3

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This paper cites The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder The Tiny Time-series Transformer: Low-latency High-throughput Classification of Astronomical Transients using Deep Model Compression

Reference 4

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Observation 35d9f78a-69e3-47a2-894b-bd01920ec84a · outbound

This paper cites W., & O’Neil, M.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder W., & O’Neil, M

Reference 5

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Observation e409b613-f627-4248-9c8d-1ac8ab54baee · outbound

This paper cites Machine Learning in Astronomy: a practical overview.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Machine Learning in Astronomy: a practical overview

Reference 6

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Observation 8a61f56f-9295-49ca-93c2-3a07e48b4446 · outbound

This paper cites 2020, MNRAS, 493, 2981, doi: 10.1093/mnras/staa350.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2020, MNRAS, 493, 2981, doi: 10.1093/mnras/staa350

Reference 7

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Observation be3e46bc-e5de-46ac-9c72-7b75efcbfed4 · outbound

This paper cites C., Kulkarni, S.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder C., Kulkarni, S

Reference 8

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Observation da378100-9e5b-45f3-9ebd-2584c4e53b03 · outbound

This paper cites A., Abe, F., Dodd, R.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder A., Abe, F., Dodd, R

Reference 9

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Observation d70b754b-b044-401d-a08a-86d9a1ce0625 · outbound

This paper cites 2019, AJ, 158, 257, doi: 10.3847/1538-3881/ab5182 —.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, AJ, 158, 257, doi: 10.3847/1538-3881/ab5182 —

Reference 10

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Observation 23590e1b-0423-40a8-9078-c42f0146ea08 · outbound

This paper cites F., & Maund, J.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder F., & Maund, J

Reference 11

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Observation 5b4b1608-1d06-415f-b27e-2c13a0fa40ee · outbound

This paper cites 2025, arXiv e-prints, arXiv:2501.15018, doi: 10.48550/arXiv.2501.15018.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2025, arXiv e-prints, arXiv:2501.15018, doi: 10.48550/arXiv.2501.15018

Reference 12

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Observation 3c8f57b0-f6c0-44dd-9b1d-b6a43ec4a383 · outbound

This paper cites Astronomical Classification of Light Curves with an Ensemble of Gated Recurrent Units.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Astronomical Classification of Light Curves with an Ensemble of Gated Recurrent Units

Reference 13

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Observation 9221406a-9dad-4bc5-891a-1b769401f5c0 · outbound

This paper cites On the Properties of Neural Machine Translation: Encoder-Decoder Approaches.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder On the Properties of Neural Machine Translation: Encoder-Decoder Approaches

Reference 14

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Observation d753e76d-f133-4625-8214-a58444dcaf7e · outbound

This paper cites 2015, Keras, https://keras.io Dark Energy Survey Collaboration, Abbott, T.,.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2015, Keras, https://keras.io Dark Energy Survey Collaboration, Abbott, T.,

Reference 15

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Observation 3c573edb-1ee7-4434-a604-74c6b56e1915 · outbound

This paper cites B., et al.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder B., et al

Reference 16

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This paper cites 2023, A&A, 670, A54, doi: 10.1051/0004-6361/202243928.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2023, A&A, 670, A54, doi: 10.1051/0004-6361/202243928

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Observation 5acf3220-0d83-4126-a010-007e0d4c2274 · outbound

This paper cites J., Djorgovski, S.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder J., Djorgovski, S

Reference 18

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This paper cites 2017, A&A, 603, A60, doi: 10.1051/0004-6361/201630240.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2017, A&A, 603, A60, doi: 10.1051/0004-6361/201630240

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Observation f98b76df-a4d3-4b3f-8f3b-7ffaf0bf9509 · outbound

This paper cites I., & Aleo, P.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder I., & Aleo, P

Reference 20

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Observation 7aff88ab-1b02-4bfb-9c2f-531f1d808635 · outbound

This paper cites 1997, Neural computation, 9, 1735.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 1997, Neural computation, 9, 1735

Reference 21

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This paper cites 2020, MNRAS, 493, 6050, doi: 10.1093/mnras/staa642.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2020, MNRAS, 493, 6050, doi: 10.1093/mnras/staa642

Reference 22

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This paper cites 2022a, ApJ, 936, 157, doi: 10.3847/1538-4357/ac7394.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022a, ApJ, 936, 157, doi: 10.3847/1538-4357/ac7394

Reference 23

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022b, Universe, 9, 7, doi: 10.3390/universe9010007 Ivezi´ c,ˇZ., Kahn, S

Reference 24

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Unresolved cited work

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This paper cites 2012, in AAS/Division for Planetary Sciences Meeting.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2012, in AAS/Division for Planetary Sciences Meeting

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2010, in Society of Photo-Optical Instrumentation Engineers (SPIE) Conference

Reference 27

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 7733, Ground-based and Airborne Telescopes III, ed

Reference 28

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Observation ccca5805-6166-49c0-8d96-419e4915f54f · outbound

This paper cites P., Cinabro, D., et al.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder P., Cinabro, D., et al

Reference 29

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This paper cites 2019, PASP, 131, 094501, doi: 10.1088/1538-3873/ab26f1.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, PASP, 131, 094501, doi: 10.1088/1538-3873/ab26f1

Reference 30

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This paper cites 2023, Research in Astronomy and Astrophysics, 23, 035013, doi: 10.1088/1674-4527/acb877 30.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2023, Research in Astronomy and Astrophysics, 23, 035013, doi: 10.1088/1674-4527/acb877 30

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This paper cites 2022, MNRAS, 513, 2422, doi: 10.1093/mnras/stac946.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022, MNRAS, 513, 2422, doi: 10.1093/mnras/stac946

Reference 32

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2023, ApJ, 947, 59, doi: 10.3847/1538-4357/acc73b

Reference 33

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This paper cites Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Radio Galaxy Morphology Generation Using DNN Autoencoder and Gaussian Mixture Models

Reference 34

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022, Libraries & Recommended Citations for using PLAsTiCC Models, v4, Zenodo, doi: 10.5281/zenodo.6672739 M¨ oller, A., & de Boissi` ere, T

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This paper cites 2022, MNRAS, 517, 393, doi: 10.1093/mnras/stac2582.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022, MNRAS, 517, 393, doi: 10.1093/mnras/stac2582

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, PASP, 131, 118002, doi: 10.1088/1538-3873/ab1609

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2018, in American Astronomical Society Meeting Abstracts, Vol

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Observation e96665ec-d3c5-4520-a8c1-b88d00e68a93 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder S., P´ erez, F., & van der Walt, S

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This paper cites 2019, A&A, 627, A21, doi: 10.1051/0004-6361/201834473.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, A&A, 627, A21, doi: 10.1051/0004-6361/201834473

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Observation 3769b572-01a6-4d0d-92cb-dbeee14c7477 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Scikit-learn: Machine Learning in Python

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Unresolved cited work

Reference 42

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2018, MNRAS, 481, 894, doi: 10.1093/mnras/sty2309

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This paper cites 2022, AJ, 163, 57, doi: 10.3847/1538-3881/ac39a1.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2022, AJ, 163, 57, doi: 10.3847/1538-3881/ac39a1

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2019, AJ, 157, 16, doi: 10.3847/1538-3881/aaf101

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Observation fea9da40-cb27-40be-bade-e8ffed7e1f51 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder A., Trotta, R., & van Dyk, D

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Observation ebb1b4f9-efc2-425e-82d0-84547bb1a92e · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder W., Homrighausen, D., Freeman, P

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder G., Filippenko, A

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Observation e84ff71e-6fc7-48bb-bfd6-36fc9696c5f5 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder L., Aleo, P

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2008, AJ, 135, 348, doi: 10.1088/0004-6256/135/1/348 S´ anchez-S´ aez, P., Reyes, I., Valenzuela, C., et al

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Observation 8185fb30-cda7-4dcb-92bc-34b7c5ae7cf2 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2024, ApJ, 976, 155, doi: 10.3847/1538-4357/ad86bc 31

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Observation c4fc6a90-be18-4b8b-873e-c775b5dfc999 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder B., & Crotts, A

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder Anomaly Detection for Multivariate Time Series of Exotic Supernovae

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Observation c6ebb315-8f1b-42e7-852b-d58482814168 · outbound

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder A., Nicholl, M., & Berger, E

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Observation 77c1d9eb-4d3a-4c2e-a971-a5554699524e · outbound

This paper cites A., Hosseinzadeh, G., Berger, E., et al.

Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder A., Hosseinzadeh, G., Berger, E., et al

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2023, Science China Physics, Mechanics, and Astronomy, 66, 109512, doi: 10.1007/s11433-023-2197-5

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Real-time Light Curve Classification Framework for the Wide Field Survey Telescope Using Modified Semi-supervised Variational Auto-Encoder 2021, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11, e1425

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Pith citing papers

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