Paper Citation Record · LEDGER

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure

As of 18 August 2026, this Paper Citation Record lists 100 of 117 outbound references and 4 inbound Pith citation observations for arXiv:2507.16088.

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

pith.paper-citation-record.v1
2507.16088 v2

Coverage vector

measured 100 of 117 reference resolution

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measured 4 of 4 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Outbound references

Observation 38619729-26b4-4d6a-97b0-88d21d1b2064 · outbound

This paper cites b 5y( :k?9@󜜂.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure b 5y( :k?9@󜜂

Reference 1

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This paper cites 2022, , 259, 35, 10.3847/1538-4365/ac4414.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2022, , 259, 35, 10.3847/1538-4365/ac4414

Reference 2

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Observation 993c95a8-a5b5-44ec-b85d-b06c16a50889 · outbound

This paper cites Optuna: A Next-generation Hyperparameter Optimization Framework.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Optuna: A Next-generation Hyperparameter Optimization Framework

Reference 3

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This paper cites 2022, New Astronomy, 96, 101846, https://doi.org/10.1016/j.newast.2022.101846.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2022, New Astronomy, 96, 101846, https://doi.org/10.1016/j.newast.2022.101846

Reference 4

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Observation e3efbd9f-4b2f-4c3c-8e27-96ccf3601e08 · outbound

This paper cites an unresolved cited work.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 5

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Observation 743034bc-7b35-4fbe-800f-4cc0240747ea · outbound

This paper cites 2023, Living Reviews in Relativity, 26, 10.1007/s41114-022-00041-y.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2023, Living Reviews in Relativity, 26, 10.1007/s41114-022-00041-y

Reference 6

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Observation bdbb87d1-5577-4da1-826d-e26edd89a421 · outbound

This paper cites W., Kool, E.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., Kool, E

Reference 7

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Observation fe81051e-5afc-4a83-83b1-c34f83fe891b · outbound

This paper cites C., Kulkarni , S.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure C., Kulkarni , S

Reference 8

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Observation 2d470a20-bde1-4528-8aad-4b973d7a1da3 · outbound

This paper cites D., Walters, R., et al.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure D., Walters, R., et al

Reference 9

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Observation b37e33cb-177d-4059-a111-b418acbe6b5b · outbound

This paper cites S., Richards, J.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure S., Richards, J

Reference 10

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Observation 3dedb15b-321c-4305-b5a2-cee5ffb04dd0 · outbound

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

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2019, AJ, 158, 257, 10.3847/1538-3881/ab5182

Reference 11

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Observation 8ca955ad-66ea-4f0b-9223-327aff2866cc · outbound

This paper cites W., Poznanski, D., et al.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., Poznanski, D., et al

Reference 12

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Observation edd8594d-9f30-436d-aba1-8d469f252ef5 · outbound

This paper cites 2024, , 689, A289, 10.1051/0004-6361/202449475.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2024, , 689, A289, 10.1051/0004-6361/202449475

Reference 13

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This paper cites 2021, , 162, 231, 10.3847/1538-3881/ac0ef1.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2021, , 162, 231, 10.3847/1538-3881/ac0ef1

Reference 14

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Observation ec90e92a-9632-4a99-b6e8-caabfdea02aa · outbound

This paper cites an unresolved cited work.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 15

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Observation 284decaf-23bb-4d1a-b3a5-47f427bac2ad · outbound

This paper cites 2024, A&C, 48, 100850, 10.1016/j.ascom.2024.100850.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2024, A&C, 48, 100850, 10.1016/j.ascom.2024.100850

Reference 16

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Observation 13e5e030-f342-45f0-90c4-e413a15645e3 · outbound

This paper cites an unresolved cited work.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 17

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Observation aa5f7ba6-ef39-4253-b15b-3d83e0dbde88 · outbound

This paper cites W., Bloom , J.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., Bloom , J

Reference 18

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Observation 155d1972-eee8-46a6-b8b0-608086bf81f3 · outbound

This paper cites Class-Balanced Loss Based on Effective Number of Samples.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Class-Balanced Loss Based on Effective Number of Samples

Reference 19

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Observation 44e01f0b-d583-49ea-b983-338a7f9a763a · outbound

This paper cites M., Riddle , R., et al.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure M., Riddle , R., et al

Reference 20

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Observation ce54448e-6b8c-45d0-b8fd-75b3dcd1fc02 · outbound

This paper cites 2009, in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248--255, 10.1109/CVPR.2009.5206848.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2009, in 2009 IEEE Conference on Computer Vision and Pattern Recognition, 248--255, 10.1109/CVPR.2009.5206848

Reference 21

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Observation 2866fdcc-c12f-484a-b02a-5e367a32e036 · outbound

This paper cites G., Aguilar , J., et al.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure G., Aguilar , J., et al

Reference 22

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This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding

Reference 23

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Observation d5be2444-69e6-48e0-b063-4d328b35781f · outbound

This paper cites W., & Dambre, J.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., & Dambre, J

Reference 24

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Observation 0ee1fab1-ea05-4b17-a772-3ad0675f0306 · outbound

This paper cites J., Djorgovski , S.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure J., Djorgovski , S

Reference 25

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Observation ff81d30b-dd8f-49ca-8ae5-50cb3649d4e5 · outbound

This paper cites A., Mahabal, A., Masci, F.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A., Mahabal, A., Masci, F

Reference 26

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Observation 31f16405-0a24-43f1-ac15-0806f4fb11ef · outbound

This paper cites Phenomenological classification of the Zwicky Transient Facility astronomical event alerts.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Phenomenological classification of the Zwicky Transient Facility astronomical event alerts

Reference 27

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This paper cites Learning Factored Representations in a Deep Mixture of Experts.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Learning Factored Representations in a Deep Mixture of Experts

Reference 28

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Observation 64f89c6c-8397-42eb-9cdb-5a22265c766a · outbound

This paper cites Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Switch Transformers: Scaling to Trillion Parameter Models with Simple and Efficient Sparsity

Reference 29

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Observation f2e01689-3c4a-4cb9-b4af-59f23e4a6419 · outbound

This paper cites 2025, in prep., AppleCiDEr III: Photometry.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2025, in prep., AppleCiDEr III: Photometry

Reference 30

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2021, , 161, 242, 10.3847/1538-3881/abe9bc

Reference 31

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This paper cites A., Sharma , Y., et al.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A., Sharma , Y., et al

Reference 32

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Observation 4990aebc-f146-45ed-a43f-a03bc54695e6 · outbound

This paper cites J., Coughlin, M.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure J., Coughlin, M

Reference 33

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This paper cites 2004, ApJ, 611, 1005, 10.1086/422091.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2004, ApJ, 611, 1005, 10.1086/422091

Reference 34

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Observation 09d571b9-e493-4def-b03a-635c5ecc79ed · outbound

This paper cites Statistical Analysis of Early Spectra in Type II and IIb Supernovae.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Statistical Analysis of Early Spectra in Type II and IIb Supernovae

Reference 35

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This paper cites J., Kulkarni , S.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure J., Kulkarni , S

Reference 36

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This paper cites 2024, RAS Techniques and Instruments, 4, 10.1093/rasti/rzae054.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2024, RAS Techniques and Instruments, 4, 10.1093/rasti/rzae054

Reference 37

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2023, , 942, 9, 10.3847/1538-4357/aca283

Reference 38

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Deep Residual Learning for Image Recognition

Reference 39

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This paper cites Gaussian Error Linear Units (GELUs).

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Gaussian Error Linear Units (GELUs)

Reference 40

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure I., Ponder, K

Reference 41

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 42

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A., et al

Reference 43

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 44

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This paper cites 2014, Statistics, Data Mining and Machine Learning in Astronomy (Princeton University Press).

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2014, Statistics, Data Mining and Machine Learning in Astronomy (Princeton University Press)

Reference 45

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This paper cites M., Tyson , J.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure M., Tyson , J

Reference 46

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 47

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This paper cites an unresolved cited work.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Unresolved cited work

Reference 48

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Observation ec8dcba1-601b-4992-927c-d30dfbf33f2c · outbound

This paper cites V., Feroz, F., & Hobson, M.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure V., Feroz, F., & Hobson, M

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:46.912921Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure M., Cannella, C., Bagdasaryan, A., et al

Reference 50

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.072600Z

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Observation 557ef9fa-9d41-4432-9a86-7fcb46a1b62b · outbound

This paper cites Supernova Photometric Classification Challenge.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Supernova Photometric Classification Challenge

Reference 51

Resolution: metadata mismatch; local_arxiv, observed 2026-08-06T15:23:56.910815Z

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Observation e542bede-17e1-4c9f-83c7-55c6d3001a45 · outbound

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

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2019, , 131, 094501, 10.1088/1538-3873/ab26f1

Reference 52

Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.244419Z

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This paper cites Supervised Multimodal Bitransformers for Classifying Images and Text.

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Supervised Multimodal Bitransformers for Classifying Images and Text

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Observation 7341ac5d-2b40-45e8-aba7-1b72b4717256 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure L., Rigault , M., Neill , J

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.453959Z

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Observation 54d1e341-4319-4662-86a8-5cb84e371681 · outbound

This paper cites Science with the Ultraviolet Explorer (UVEX).

Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Science with the Ultraviolet Explorer (UVEX)

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.559838Z

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Observation 5f5c8d33-7cae-4dfc-b8f4-acca04e41334 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure 2018, MNRAS, 473, 3895, 10.1093/mnras/stx1665

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.674360Z

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Observation 730c8e8c-fe0f-484f-8caa-5a73fe3c2313 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure M., Kulkarni, S

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.774753Z

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Observation d02e914f-e877-44cf-8be2-7d8d18087db0 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure GShard: Scaling Giant Models with Conditional Computation and Automatic Sharding

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:47.868603Z

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Observation 2379ec10-f682-4820-899e-83ece19f5232 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., & Bovy, J

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.012975Z

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Observation 418fba47-5d6d-472c-b1a9-38da0c39e940 · outbound

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Observation 2c488006-6da8-4211-ac33-343461458fbf · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A ConvNet for the 2020s

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.172128Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure D., Peiris, H

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.254563Z

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Observation 97aea8a3-2938-4120-a4d7-3eef47d49cbd · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure SGDR: Stochastic Gradient Descent with Warm Restarts

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.418072Z

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Observation 98dd99a7-20a4-47ea-ae6d-558554d8c7a7 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Decoupled Weight Decay Regularization

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Observation c58a42a6-81bf-45d2-a771-62c73e485ae5 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.688746Z

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Observation 6d7d2397-3bc7-4caf-944c-a676b90b2216 · outbound

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Observation 19ed925d-2c8f-4337-ae26-6269b860d863 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:48.935029Z

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Observation c37bfe16-fcce-4c88-8080-50820f73a029 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.030247Z

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Observation fcb827e5-1d28-445f-bc26-7bbb2c20363f · outbound

This paper cites 2025, Leveraging Pre-Trained Visual Transformers for Multi-Band Photometric Light Curve Classification.

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.135202Z

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Observation 37f02818-b2c9-4ca9-80f6-922beca37248 · outbound

This paper cites 2020, Journal of Astronomical Telescopes, Instruments, and Systems, 6, 046001, 10.1117/1.JATIS.6.4.046001.

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.281986Z

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This paper cites 2025, A Comprehensive Survey of Mixture-of-Experts: Algorithms, Theory, and Applications.

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.352794Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.430796Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.568783Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.863132Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:49.982168Z

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Observation 43ce4f87-5d13-4a0d-a842-7c6a4cdf018d · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A., & Förster, F

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:50.121666Z

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Observation ad28c0b6-5c6a-41a8-b1d8-3197bd04fd27 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:50.227376Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure FATS: Feature Analysis for Time Series

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:50.310154Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:50.439034Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:50.813708Z

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Resolution: verified exact; doi, observed 2026-08-06T15:23:56.577964Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure Learning Transferable Visual Models From Natural Language Supervision

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:51.091624Z

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Observation 69fee264-761b-4468-8d68-660f917d2ab9 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure E., & Alcock, C

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Resolution: verified exact; doi, observed 2026-08-06T15:23:56.359932Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:51.402857Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure V., Singh , A., et al

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:51.540069Z

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., Starr, D

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:51.853848Z

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:51.954732Z

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Observation e37e6b7f-5427-4fe2-beec-ce9155485e35 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure A., Sollerman, J., et al

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:52.075088Z

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Observation 4aa6aa40-fc4c-4825-b9ba-06608087327c · outbound

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

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:52.163992Z

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Observation 9838f253-9606-46d4-82c4-5dd6229f1882 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:52.287962Z

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Observation 5d481a52-4323-49eb-87ba-03d0d0c83516 · outbound

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Applying multimodal learning to Classify transient Detections Early (AppleCiDEr) I: Data set, methods, and infrastructure W., Christensen, N., & Muthukrishna, D

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Observation 4be6c37a-2826-4a23-a390-19be4d835bba · outbound

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Observation d8183c17-59ed-4da4-a941-4a590e47ae48 · outbound

This paper cites 2021, AJ, 161, 141, 10.3847/1538-3881/abd5c1.

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Observation 86376e37-767f-455d-9f91-f3bfbdd02f18 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:52.783161Z

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Observation 3c4ed500-4675-45e2-ab21-05907b10cf44 · outbound

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Resolution: unresolved; no resolver link, observed 2026-08-06T15:23:52.924254Z

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Observation d1114908-07e6-4ca1-91bf-716dfa34fe08 · inbound

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Resolution: verified exact; arxiv_id, observed 2026-05-11T18:21:08.866254Z

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Observation 925ba800-855c-491e-882c-dd29cc69a133 · inbound

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Resolution: verified exact; arxiv_id, observed 2026-07-02T17:07:11.886440Z

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Observation f8139883-f14b-4e78-9bd7-8f1763281968 · inbound

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Source-reported events for the cited work

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