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Paper Citation Record · LEDGER

Spatiotemporal deep learning models for detection of rapid intensification in cyclones

As of 8 August 2026, this Paper Citation Record lists 100 of 112 outbound references and 0 inbound Pith citation observations for arXiv:2506.08397.

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

pith.paper-citation-record.v1
2506.08397 v1

Coverage vector

measured 100 of 112 reference resolution

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Pith citing papers itemized under the disclosed page cap.

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Reference resolution

100 of 112 outbound references displayed

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Outbound references

Observation 1ef6c3a0-b4c9-4c14-8a1c-c7025048def4 · outbound

This paper cites Peduzzi, B.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Peduzzi, B

Reference 1

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Observation 9640a94c-968c-438e-905b-8f9c5d8bb1b5 · outbound

This paper cites Miyamoto, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Miyamoto, T

Reference 2

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Reference 3

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 5

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 6

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This paper cites Kaplan, C.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kaplan, C

Reference 7

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This paper cites Molinari, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Molinari, D

Reference 8

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This paper cites Kaplan, M.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kaplan, M

Reference 9

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 12

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 13

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

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This paper cites Hochreiter, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Hochreiter, J

Reference 16

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

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Observation 011000ab-073a-4f1d-9169-a95aa4955143 · outbound

This paper cites Varalakshmi, N.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Varalakshmi, N

Reference 18

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Observation 8c00b0c2-966c-4f7f-bbbb-a3513c0c8c41 · outbound

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Wimmers, C

Reference 19

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This paper cites Maskey, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Maskey, R

Reference 20

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This paper cites Rajesh, V.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Rajesh, V

Reference 21

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This paper cites Wei, Study on wind simulations using deep learning techniques during typhoons: a case study of northern taiwan, Atmosphere 10 (2019) 684.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Wei, Study on wind simulations using deep learning techniques during typhoons: a case study of northern taiwan, Atmosphere 10 (2019) 684

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This paper cites Chandra, K.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, K

Reference 25

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, R

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Zhang, R

Reference 27

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, Y

Reference 28

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This paper cites Chandra, Dynamic cyclone wind-intensity prediction using co- evolutionary multi-task learning, in: D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, Dynamic cyclone wind-intensity prediction using co- evolutionary multi-task learning, in: D

Reference 29

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Kapoor, A

Reference 30

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Yang, C.-Y

Reference 34

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Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, K

Reference 35

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This paper cites Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Towards prediction of rapid intensification in tropical cyclones with recurrent neural networks

Reference 36

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This paper cites Torgo, R.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Torgo, R

Reference 38

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This paper cites Goodfellow, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Goodfellow, J

Reference 39

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raw_fallback, observed 2026-08-07T05:18:52.439099Z

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.

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Observation 72dd0593-dd65-4936-8d72-2c8f51d8e3fb · outbound

This paper cites Galar, A.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Galar, A

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:52.197983Z

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.

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Observation 8e014cc2-25ee-4e24-b9f8-57bac19ca828 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:51.960674Z

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.

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Observation 3cd678b8-c90f-442c-87ba-b4c85314d776 · outbound

This paper cites Gosain, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Gosain, S

Reference 43

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation f86de586-f82f-46c3-a578-829b46c767ed · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 44

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:51.410087Z

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.

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Observation edc65456-b103-46e2-ac08-b5f5e3ec9383 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 45

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:51.148029Z

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.

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Observation f1da185e-959a-44d8-861a-e931fa51b592 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 46

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:50.902903Z

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.

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Observation dd018ac7-2f50-45a7-89c7-512c6027ad37 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 47

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:50.608722Z

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.

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Observation 9532b971-31ab-418c-a9c7-89890f7d746d · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 48

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:50.230839Z

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.

source=pdf_text observed=2026-08-07T05:18:25.778877Z digest=sha256:e5c29a1fdf0dd5f7e3a0fe6953e305c892dfcf1bcfbeeee60ec7cfeee0dd4b20

Observation a314b1e4-e524-4d3f-90e3-b792858b875e · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 49

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:49.889855Z

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.

source=pdf_text observed=2026-08-07T05:18:25.896615Z digest=sha256:09638cc1172e78cc9ada203340e3e38c484347ba46b66b2d89dc3224b4afbe64

Observation d3144c52-a24e-49ab-a1d3-15788904dc83 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 50

Resolution
malformed identifier
raw_fallback, observed 2026-08-07T05:18:34.966036Z

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.

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Observation 37da335f-d4f4-4a4a-8712-55884c52e2aa · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 51

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:49.582881Z

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.

source=pdf_text observed=2026-08-07T05:18:26.229480Z digest=sha256:25ea87244241d1f1c8d39162e3b17f9797134b1cb80b501d554553578c870ab4

Observation 272a88e3-82d5-4124-9ddf-fc029f431482 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 52

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:49.196718Z

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.

source=pdf_text observed=2026-08-07T05:18:26.364976Z digest=sha256:d39b4e2b7ac457f8d67140ee30c15582e7a27e8574dc1dc9479e61466f473d14

Observation f5475e19-3a14-407f-9f0c-e964911f2a4f · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 53

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:48.809691Z

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.

source=pdf_text observed=2026-08-07T05:18:26.491785Z digest=sha256:c3baf8f472ed282e4fa2282d368e93f3d88528cc26157e030d81cc4350bbe24c

Observation 9782cc36-ba0d-4b2f-a4de-71798ab368f5 · outbound

This paper cites Fern ´andez, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Fern ´andez, S

Reference 54

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:48.477397Z

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.

source=pdf_text observed=2026-08-07T05:18:26.603111Z digest=sha256:ed92b6beac046a8e3aecf85866a8c6cb9c6203b37fc64ed395942eb6ba76997b

Observation 9e9cc606-5d5f-4c41-8699-617990ea0d70 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:48.136060Z

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.

source=pdf_text observed=2026-08-07T05:18:26.788253Z digest=sha256:6246e84584fd3d0778b87b009bc3fde6b7cb65cf9d48ab3631bc252fcbbaced9

Observation 9ef2cacb-735a-468a-981d-aded3899c7f7 · outbound

This paper cites Ali-Gombe, E.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Ali-Gombe, E

Reference 56

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:47.826599Z

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.

source=pdf_text observed=2026-08-07T05:18:26.920300Z digest=sha256:48c62bbb4b3412bf99db7f4e152e665351f61f23eaa637af63c9ed14b056219e

Observation 4c1e9803-44ca-4871-b59f-7c81b5b2b942 · outbound

This paper cites BAGAN: Data Augmentation with Balancing GAN.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones BAGAN: Data Augmentation with Balancing GAN

Reference 57

Resolution
unresolved
no resolver link, observed 2026-08-07T05:18:27.053389Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:27.053389Z digest=sha256:952a0a2cc37e17ac072356a36aa16ee6516c3fa5e29ea9e832a143f0b41aee59

Observation b11f0112-4d1e-4d12-8850-285aeffaeca0 · outbound

This paper cites SMOTified-GAN for class imbalanced pattern classification problems.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones SMOTified-GAN for class imbalanced pattern classification problems

Reference 58

Resolution
verified exact
local_arxiv, observed 2026-08-07T05:18:34.634128Z

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.

source=pdf_text observed=2026-08-07T05:18:27.162435Z digest=sha256:e8a16a8d27f8db8510480ad4538d173401b90558d557d240a968e05055551a49

Observation aedc4061-7dff-4173-bc72-985670481938 · outbound

This paper cites Creswell, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Creswell, T

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:47.383215Z

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.

source=pdf_text observed=2026-08-07T05:18:27.301072Z digest=sha256:98ddeebb8a074734ba6fe7f3fe123c934c56b9a28e25c39af2fb458c893c7f07

Observation 7b05f364-f74d-4fe2-ac1e-495911686a0e · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 60

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:46.986073Z

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.

source=pdf_text observed=2026-08-07T05:18:27.455000Z digest=sha256:a15eba28e8bf7daced11b3810aaf4b3a91331ca71fbf3c7912294eb0a93a7281

Observation 0e964ece-f206-40d4-bbb3-87ecf7d22615 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 61

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:46.637905Z

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.

source=pdf_text observed=2026-08-07T05:18:27.541909Z digest=sha256:d933b05912369957f094eefc9084496eab3d0b7e7b53dbe10e6706630b13c636

Observation 683210af-d485-456d-accc-692a88881387 · outbound

This paper cites Scott, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Scott, J

Reference 62

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:46.486224Z

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.

source=pdf_text observed=2026-08-07T05:18:27.643182Z digest=sha256:39356fb2615ec6953bace1703e60a0a0894032c5cf11a65457a2407cf063f1d1

Observation 66b7d110-e0d1-4464-9d25-c7b8a4333a72 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 63

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:46.196380Z

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.

source=pdf_text observed=2026-08-07T05:18:27.777679Z digest=sha256:85d630675b548088598690acf8b2b97d81203206fe2522999cdd177a9cc86d88

Observation c14f2da0-cdc0-4ada-b1b9-f0e94b8ccd54 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 64

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:45.883156Z

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.

source=pdf_text observed=2026-08-07T05:18:27.871788Z digest=sha256:78f51011b35e529502a8e4334b2c71c55c6c2c33a794b932c11af3b162671ca2

Observation d5fabd05-6755-4e45-b994-7e9327769c6b · outbound

This paper cites Murakami, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Murakami, T

Reference 65

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:45.616600Z

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.

source=pdf_text observed=2026-08-07T05:18:27.929456Z digest=sha256:88a223169c4284e9929d42695d7fa00066d8bb5d9d84600e1a2e88ace3cc2feb

Observation ca4d21ce-4bf4-4bbf-b2fa-074f3ffed721 · outbound

This paper cites Tauvale, K.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Tauvale, K

Reference 66

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:45.433432Z

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.

source=pdf_text observed=2026-08-07T05:18:28.028491Z digest=sha256:54b0bc10ee829575396098dc46d1526a86aca099cdd267869a96b32dad1f6a34

Observation 53e0083c-f0fc-44a2-b5b5-5bcd293a17ed · outbound

This paper cites Magee, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Magee, D

Reference 67

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:45.194776Z

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.

source=pdf_text observed=2026-08-07T05:18:28.085680Z digest=sha256:58e2cc8bb8b94f4825e78194696754384f42e068b628ca2fcb3ba13651e8277e

Observation 89759ff6-deb8-48de-b36d-a99f2d55a479 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 68

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:44.934503Z

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.

source=pdf_text observed=2026-08-07T05:18:28.159612Z digest=sha256:e670cbb02d70ff3ffbc367ab4850b65e39138acc0726f0d37c3dc39666297db2

Observation 6e2d9687-3129-4804-9b48-20f64f50a470 · outbound

This paper cites McInnes, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones McInnes, J

Reference 69

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:44.581501Z

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.

source=pdf_text observed=2026-08-07T05:18:28.336554Z digest=sha256:2b145ec02347a7314c95cb0d9d8665f7ac28f417c8b1ee3f5a611964efcb6716

Observation 9b8a133e-94a7-4365-9c29-bd8ca576d0ce · outbound

This paper cites KOSTASCHUK, J.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones KOSTASCHUK, J

Reference 70

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:44.379751Z

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.

source=pdf_text observed=2026-08-07T05:18:28.455892Z digest=sha256:89704ae418e7cca5fa2f36460f34251c13258ab5bfabf6f69051e0bc475c7998

Observation 30319894-0101-403b-8e10-eb462a9d1fee · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 71

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:44.046149Z

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.

source=pdf_text observed=2026-08-07T05:18:28.542798Z digest=sha256:164120ea0d9ac3672d6b473aeca511f76b54e86e12c8db8f353ef6ef5c893b79

Observation 8fd87dd4-b696-45af-8551-648a3d03d323 · outbound

This paper cites Madsen, F.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Madsen, F

Reference 72

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:43.721008Z

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.

source=pdf_text observed=2026-08-07T05:18:28.680246Z digest=sha256:dd68c1391289b3f88464d51a339d94cbd0973f79d9b329c62d4b5a7887ca4d8c

Observation ec865c2e-c2bb-4dce-969e-45221f9f95f3 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 73

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:43.402031Z

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.

source=pdf_text observed=2026-08-07T05:18:28.761655Z digest=sha256:981dab728c245e48e1805ef97a199b8773746a775f1fe8ba0ec88f62ba112e90

Observation bc769f67-9b3c-4d5a-bab0-23d89d557fac · outbound

This paper cites Alexander, A magnitude scale for cascading disasters, International journal of disaster risk reduction 30 (2018) 180–185.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Alexander, A magnitude scale for cascading disasters, International journal of disaster risk reduction 30 (2018) 180–185

Reference 74

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:43.208794Z

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.

source=pdf_text observed=2026-08-07T05:18:28.863766Z digest=sha256:586a29e33fa32e93b062b29e2a3d99871313b8b46611aa7ab61eef3bd9c527c8

Observation 32f799a1-acdc-47a6-a304-cf17304761ac · outbound

This paper cites Munshi, A general linear model for trends in tropical cyclone activity, Available at SSRN 2630932 (2015).

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Munshi, A general linear model for trends in tropical cyclone activity, Available at SSRN 2630932 (2015)

Reference 75

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T05:18:42.906153Z

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.

source=pdf_text observed=2026-08-07T05:18:28.941750Z digest=sha256:3ca985a4ee64c36d9b0cf936cf3235a7d845f17bd1729aeb8f735dfcf27eeade

Observation 458d71e5-7475-4810-93f8-91203a2a6743 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 76

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:42.769095Z

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.

source=pdf_text observed=2026-08-07T05:18:29.042399Z digest=sha256:03214aca967e4029176505d12d682203407c902e7469fee19ffc4e5d3ecd4225

Observation 11b12259-b4f0-433a-b866-c2fa3c50ea14 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 77

Resolution
unresolved
raw_fallback, observed 2026-08-07T05:18:42.426049Z

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.

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Observation 271af2c5-2de1-45dd-adac-33b58759ce49 · outbound

This paper cites LeCun, Y.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones LeCun, Y

Reference 78

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 59ea927e-3d85-482c-b6f8-36fbaf335223 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 79

Resolution
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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.

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Observation fe030d8d-99fb-4d4a-874c-4f0d45e7cfb4 · outbound

This paper cites Scher, Toward data-driven weather and climate forecasting: Approxi- mating a simple general circulation model with deep learning, Geophys- ical Research Letters 45 (2018) 12–616.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Scher, Toward data-driven weather and climate forecasting: Approxi- mating a simple general circulation model with deep learning, Geophys- ical Research Letters 45 (2018) 12–616

Reference 80

Resolution
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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.

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Observation 4f9346ca-57f6-4962-b167-c667374f429d · outbound

This paper cites Ardabili, A.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Ardabili, A

Reference 81

Resolution
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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.

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Observation d40058c7-a328-4c8a-9727-1645284813f1 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 82

Resolution
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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.

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Observation d25a7ef5-0545-47bb-b3f7-07208ecdfad3 · outbound

This paper cites Roscher, B.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Roscher, B

Reference 83

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 5ae24db9-fd47-48f0-8198-faf01b171f41 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 84

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dc94ddbd-9e04-4741-b8ee-421d13cfd938 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 85

Resolution
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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.

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Observation 61b88b24-3eca-45fc-8cbd-51c9ee4b0a79 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 86

Resolution
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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.

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Observation 4536bd54-9e3c-401d-bbba-bfc8611c89af · outbound

This paper cites Bengio, P.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Bengio, P

Reference 87

Resolution
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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.

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Observation 47279989-433e-40f6-b4a9-d36c7e01951d · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 88

Resolution
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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.

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Observation 9d185f73-cfcf-4b57-b833-a4861cabfed5 · outbound

This paper cites Learning Longer Memory in Recurrent Neural Networks.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Learning Longer Memory in Recurrent Neural Networks

Reference 89

Resolution
verified exact
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Source-reported events for the cited work

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

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Observation 1f7b281e-0a37-411b-a370-324d207dd9ab · outbound

This paper cites Van Houdt, C.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Van Houdt, C

Reference 90

Resolution
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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.

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Observation fba090e8-442b-45ad-a840-8f2b9eb1bbe9 · outbound

This paper cites Machine Learning for Spatiotemporal Sequence Forecasting: A Survey.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Machine Learning for Spatiotemporal Sequence Forecasting: A Survey

Reference 91

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation dcd10711-dee1-4750-9bfc-8010f1f702a5 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 92

Resolution
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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.

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Observation a89b053e-7de4-4461-827a-85933b418412 · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 93

Resolution
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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.

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Observation 56508381-804f-441d-861c-ffec0d202b5f · outbound

This paper cites an unresolved cited work.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Unresolved cited work

Reference 94

Resolution
unresolved
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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.

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Observation 160fdc37-a24a-4813-966b-587c2d0ac34e · outbound

This paper cites Agrawal, D.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Agrawal, D

Reference 95

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 4a7d23e9-640e-4d43-a26e-d9304e9d0cce · outbound

This paper cites Chandra, S.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Chandra, S

Reference 96

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 3d7ef4c9-ca0c-4aac-85ce-a7df5f3c37cf · outbound

This paper cites Shorten, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Shorten, T

Reference 97

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 1272288d-84c7-427d-ba9f-6f4ca5201f4c · outbound

This paper cites Shorten, T.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Shorten, T

Reference 98

Resolution
verified fuzzy
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Source-reported events for the cited work

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

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Observation 7ce23236-dd3d-4cf4-a6db-e0d28d98a2db · outbound

This paper cites Time Series Data Augmentation for Deep Learning: A Survey.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Time Series Data Augmentation for Deep Learning: A Survey

Reference 99

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-07T05:18:31.849965Z digest=sha256:8afc023b0edc810c1264c245e8cd23130639aa1c2c4bf0c81ada736f2997b3c1

Observation c8ba64c9-05a0-4e0b-818b-3f1c97433a99 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Spatiotemporal deep learning models for detection of rapid intensification in cyclones Adam: A Method for Stochastic Optimization

Reference 100

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Pith citing papers

No inbound Pith citation observations are available.