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

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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

Resolution: verified exact; doi, observed 2026-08-07T11:53:16.453589Z

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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 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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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

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:14.465897Z

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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

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:14.476067Z

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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 —

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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

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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

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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.,

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

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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

Reference 17

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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

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

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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

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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

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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

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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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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

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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

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

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

This paper cites B., & Crotts, A.

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

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:15.011838Z

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Observation 13063e7f-cd50-43eb-808f-b72b7fdec496 · outbound

This paper cites Anomaly Detection for Multivariate Time Series of Exotic Supernovae.

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

Reference 53

Resolution: metadata mismatch; local_arxiv, observed 2026-08-07T11:53:15.213841Z

Source-reported events for the cited work

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

This paper cites A., Nicholl, M., & Berger, E.

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

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:17.038869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:15.041967Z

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Observation 28e76925-d312-4e38-bccb-9839a29677a4 · outbound

This paper cites 2023, Science China Physics, Mechanics, and Astronomy, 66, 109512, doi: 10.1007/s11433-023-2197-5.

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

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-07T11:53:15.057652Z

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Observation 2b917461-2b63-49c4-9d35-2006c567b07e · outbound

This paper cites 2021, Wiley Interdisciplinary Reviews: Data Mining and Knowledge Discovery, 11, e1425.

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

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-07T11:53:16.937892Z

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No event found in the named queried sources as of 2026-08-07T06:34:17.273281+00:00.

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