Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey | Paper Citation Record

Observation 20217e63-abe1-413d-a1a7-cfc08c995dbb · outbound

This paper cites , " * write output.state after.block = add.period write newline.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey , " * write output.state after.block = add.period write newline

Reference 1

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Observation 5a486123-e0c5-4717-8771-734f93b56539 · outbound

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Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey write newline

Reference 2

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Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey - [1] #1 = = ^ ^ ^ .\!\!^ d .\!\!^ h .\!\!^ m .\!\!^ s .\!\!^ @mss

Reference 3

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This paper cites an unresolved cited work.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 4

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Observation be7eb174-edeb-4841-ad52-57dff074e15d · outbound

This paper cites M., Lim , P.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey M., Lim , P

Reference 5

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Observation 60d55b91-0e88-4bb4-bc00-ff9d525ef478 · outbound

This paper cites C., Vincenzi, M., Scolnic, D., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey C., Vincenzi, M., Scolnic, D., et al

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:19.541222Z

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This paper cites 2025, SNCosmo, v2.12.1, Zenodo, 10.5281/zenodo.15019859.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2025, SNCosmo, v2.12.1, Zenodo, 10.5281/zenodo.15019859

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:19.691175Z

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Observation d8ce6ae0-1903-4b2c-a8bb-e4cb5572d31a · outbound

This paper cites G., Casertano, S., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey G., Casertano, S., et al

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:19.835553Z

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Observation 77d2315a-8303-43f9-a70a-caa5b6496a38 · outbound

This paper cites 2022, The Astrophysical Journal, 938, 110, 10.3847/1538-4357/ac8e04.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2022, The Astrophysical Journal, 938, 110, 10.3847/1538-4357/ac8e04

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:19.985705Z

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Observation 571cf108-f0b3-4391-9916-b7697dd4ca51 · outbound

This paper cites M., Vincenzi, M., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey M., Vincenzi, M., et al

Reference 10

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Observation 0f2defec-edec-4990-a189-5823933a2452 · outbound

This paper cites 2022, , 511, 1830, 10.1093/mnras/stac151.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2022, , 511, 1830, 10.1093/mnras/stac151

Reference 11

Resolution: verified exact; doi, observed 2026-08-04T00:14:09.661949Z

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Observation 74088af8-3c21-4493-ad29-7202180bc5ae · outbound

This paper cites Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Evaluating Cosmological Biases using Photometric Redshifts for Type Ia Supernova Cosmology with the Dark Energy Survey Supernova Program

Reference 12

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Observation 98cc3ef5-d2d3-4c68-b7b8-09321f5a132f · outbound

This paper cites an unresolved cited work.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:20.714866Z

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This paper cites 2025, arXiv e-prints, arXiv:2507.04618, 10.48550/arXiv.2507.04618.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2025, arXiv e-prints, arXiv:2507.04618, 10.48550/arXiv.2507.04618

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:20.891818Z

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Observation 0a4af42a-addd-4a3e-a8c9-aa9b3a2e0add · outbound

This paper cites The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey The Dark Energy Survey: Cosmology Results With ~1500 New High-redshift Type Ia Supernovae Using The Full 5-year Dataset

Reference 15

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Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 16

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Observation 596c3ce7-b709-47aa-aec7-2818b1a13e43 · outbound

This paper cites an unresolved cited work.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 17

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Observation 4abaf48d-0847-4ea4-a1ea-ba5b233976e1 · outbound

This paper cites W., Lang , D., & Goodman , J.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey W., Lang , D., & Goodman , J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:21.604088Z

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Observation 97497e2d-1130-4c81-8580-bd1ead880296 · outbound

This paper cites ABC-SN: Attention Based Classifier for Supernova Spectra.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey ABC-SN: Attention Based Classifier for Supernova Spectra

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:21.769425Z

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Observation 5d68beac-3690-4016-9717-31b5ff4faf76 · outbound

This paper cites 2025, Optimizing Supernova Classification with Interpretable Machine Learning Models.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2025, Optimizing Supernova Classification with Interpretable Machine Learning Models

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:21.915598Z

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Observation 2c444c0f-76cf-487b-8c2c-e2b3d10ee65b · outbound

This paper cites 2010, , 709, 1420, 10.1088/0004-637X/709/2/1420.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2010, , 709, 1420, 10.1088/0004-637X/709/2/1420

Reference 21

Resolution: verified exact; doi, observed 2026-08-04T00:14:09.460105Z

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Observation 3804b269-ff0f-4548-b2e8-22d9dcd91902 · outbound

This paper cites 2019, , 883, 203, 10.3847/1538-4357/ab391e.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2019, , 883, 203, 10.3847/1538-4357/ab391e

Reference 22

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Observation 732995b5-a7ad-4c82-bd61-11b7bb88e115 · outbound

This paper cites Future Cosmology: New Physics and Opportunity from the China Space Station Telescope (CSST).

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Future Cosmology: New Physics and Opportunity from the China Space Station Telescope (CSST)

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:22.384144Z

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Observation 362aa534-e748-48dc-be16-3483653737b5 · outbound

This paper cites 2012, The Astrophysical Journal, 752, 79, 10.1088/0004-637x/752/2/79.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2012, The Astrophysical Journal, 752, 79, 10.1088/0004-637x/752/2/79

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:22.604816Z

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This paper cites an unresolved cited work.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:22.783631Z

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Observation 28ebf25c-65ff-4231-baad-3a0e46f4a5cc · outbound

This paper cites M., Tyson , J.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey M., Tyson , J

Reference 26

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Observation 9fd05fb4-793e-4af9-8d5a-37d3021e6fb6 · outbound

This paper cites O., Scolnic , D.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey O., Scolnic , D

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.163520Z

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Observation 9a064a9b-6df8-411f-95ba-b708e4595d7a · outbound

This paper cites D., Jones , D.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey D., Jones , D

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.216891Z

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Observation ece28d4b-36d0-4ca6-bff8-d77caf29ced1 · outbound

This paper cites 2017, , 836, 56, 10.3847/1538-4357/836/1/56.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2017, , 836, 56, 10.3847/1538-4357/836/1/56

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.304808Z

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Observation a20fc4ff-f278-4287-965b-9180661ec6ad · outbound

This paper cites 2023, The Astrophysical Journal Letters, 952, L8, 10.3847/2041-8213/ace34d.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2023, The Astrophysical Journal Letters, 952, L8, 10.3847/2041-8213/ace34d

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.461902Z

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This paper cites A., & Sen, A.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey A., & Sen, A

Reference 31

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Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Unresolved cited work

Reference 32

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Observation b636c60f-c92c-4a76-b560-989832cae44e · outbound

This paper cites Machine Learning in Stellar Astronomy: Progress up to 2024.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey Machine Learning in Stellar Astronomy: Progress up to 2024

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:23.930989Z

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This paper cites 2023, Science China Physics, Mechanics, and Astronomy, 66, 229511, 10.1007/s11433-022-2018-0.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2023, Science China Physics, Mechanics, and Astronomy, 66, 229511, 10.1007/s11433-022-2018-0

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Resolution: verified exact; doi, observed 2026-08-04T00:14:09.277195Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation e24f9f8d-923e-4475-99d6-58ed70d68e76 · outbound

This paper cites 2024, Science China Physics, Mechanics & Astronomy, 67, 10.1007/s11433-024-2456-x.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2024, Science China Physics, Mechanics & Astronomy, 67, 10.1007/s11433-024-2456-x

Reference 35

Resolution: verified exact; doi, observed 2026-08-04T00:14:09.137572Z

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d771bfc-b27b-4acd-a319-2074433961df · outbound

This paper cites P., Kessler , R., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey P., Kessler , R., et al

Reference 36

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:24.375179Z

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Observation d7f8c44e-c73c-4e40-8c55-3d5ccd4c52be · outbound

This paper cites A., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey A., et al

Reference 37

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:24.486077Z

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Observation 095a95e2-3f1c-4cc3-ba87-5b3162c76ef7 · outbound

This paper cites 2020, , 491, 4277, 10.1093/mnras/stz3312.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2020, , 491, 4277, 10.1093/mnras/stz3312

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:24.681841Z

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Observation bb57fe6e-334b-43ea-a273-7a88d1a954c3 · outbound

This paper cites 2022, , 514, 5159, 10.1093/mnras/stac1691.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2022, , 514, 5159, 10.1093/mnras/stac1691

Reference 39

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:24.826425Z

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Observation 30b294ba-f31e-4752-9139-388ea2177f72 · outbound

This paper cites The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey The Dark Energy Survey 5-year photometrically classified type Ia supernovae without host-galaxy redshifts

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:24.999091Z

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Observation 3e17aea9-081e-400c-a182-dc20de0f8d8f · outbound

This paper cites 1999, The Astrophysical Journal, 517, 565–586, 10.1086/307221.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 1999, The Astrophysical Journal, 517, 565–586, 10.1086/307221

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:25.174676Z

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Observation 9aa1ac91-6ff9-48a4-84b8-5edd24f0f63b · outbound

This paper cites 2021, The Astronomical Journal, 162, 67, 10.3847/1538-3881/ac0824.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2021, The Astronomical Journal, 162, 67, 10.3847/1538-3881/ac0824

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:25.303124Z

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Observation 2fec732b-9f70-4a8e-89de-48bcbdf7c212 · outbound

This paper cites G., Casertano, S., Yuan, W., Macri, L.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey G., Casertano, S., Yuan, W., Macri, L

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:25.546082Z

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Observation 17fd8660-3f9c-407d-8b3f-63441cc5c000 · outbound

This paper cites G., Filippenko , A.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey G., Filippenko , A

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:25.706678Z

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Observation 3a702367-c16a-44bb-917d-4d4ade0a1619 · outbound

This paper cites G., Yuan , W., Macri , L.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey G., Yuan , W., Macri , L

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:25.833917Z

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Observation 9f457ded-06b9-4dd8-96a8-09d375bed020 · outbound

This paper cites A., Riess , A.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey A., Riess , A

Reference 47

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.014678Z

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Observation c27ef268-1270-4783-ba4d-cd3b6202ce53 · outbound

This paper cites A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey A Reference Survey for Supernova Cosmology with the Nancy Grace Roman Space Telescope

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.190329Z

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Observation a076edfb-cff9-436f-8d51-d80c59abbe38 · outbound

This paper cites E., Hinton, G.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey E., Hinton, G

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.317758Z

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Observation 870cedcb-edec-4a91-afa7-a40831fbc0f9 · outbound

This paper cites E., Barclay , T., Barnes , A., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey E., Barclay , T., Barnes , A., et al

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.411988Z

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Observation e5ea5377-ccca-4212-9958-2bdfe8afe6ea · outbound

This paper cites 2022, , 938, 113, 10.3847/1538-4357/ac8b7a.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2022, , 938, 113, 10.3847/1538-4357/ac8b7a

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.528404Z

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Observation 04816d0f-8b48-4a87-a53f-853aad982278 · outbound

This paper cites A., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey A., et al

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.628519Z

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Observation fb139967-929e-4023-8774-cc7fe31747be · outbound

This paper cites E., et al.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey E., et al

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.780351Z

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Observation 21429edc-62b7-4a5f-9241-10d40da40abb · outbound

This paper cites 2022, Monthly Notices of the Royal Astronomical Society, 518, 1106–1127, 10.1093/mnras/stac1404.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2022, Monthly Notices of the Royal Astronomical Society, 518, 1106–1127, 10.1093/mnras/stac1404

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:26.944301Z

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Observation 90a2200b-f21f-4e54-9789-a311ef12942f · outbound

This paper cites The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey The Dark Energy Survey Supernova Program: Cosmological Analysis and Systematic Uncertainties

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:27.072147Z

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Observation 4409115f-36f6-435f-8d30-f64af50960ce · outbound

This paper cites 2024, Monthly Notices of the Royal Astronomical Society, 530, 4288, 10.1093/mnras/stae1119.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2024, Monthly Notices of the Royal Astronomical Society, 530, 4288, 10.1093/mnras/stae1119

Reference 56

Resolution: verified exact; doi, observed 2026-08-04T00:14:08.849322Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d8fc6774-3659-44ec-89b1-8e550b2d662e · outbound

This paper cites 2011, SCIENTIA SINICA Physica, Mechanica & Astronomica, 41, 1441.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2011, SCIENTIA SINICA Physica, Mechanica & Astronomica, 41, 1441

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-04T00:11:27.360602Z

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Observation b60d3811-cace-47ad-bcb4-95d8f686e904 · outbound

This paper cites 2021, Chinese Science Bulletin, 66, 1290, https://doi.org/10.1360/TB-2021-0016.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey 2021, Chinese Science Bulletin, 66, 1290, https://doi.org/10.1360/TB-2021-0016

Reference 58

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Observation 707270bb-b539-4014-853e-712aed9b5510 · outbound

This paper cites ?O' ]k!65fkMs z )5Vz'γ&4rnaAǧ˥溛y zM4\.

Supernova Classification using the Recurrent Neural Network in the CSST Ultra-Deep Field Survey ?O' ]k!65fkMs z )5Vz'γ&4rnaAǧ˥溛y zM4\

Reference 59

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