Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T22:12:03.035832Z
Paper Citation Record · LEDGER
Leveraging GNN to Enhance MEF Method in Predicting ENSO
As of 18 August 2026, this Paper Citation Record lists 98 of 98 outbound references and 1 inbound Pith citation observation for arXiv:2508.07410.
A citation records a reference. It does not transfer a finding from one paper to another.
Coverage vector
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-18T06:34:40.430872+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-04T23:56:04.129797Z
A source-named dated measurement, never combined with another source.
Source: pith, observed 2026-08-04T23:56:04.169415Z
Reference resolution
98 of 98 outbound references displayed
- verified exact30
- verified fuzzy20
- unresolved43
- parse uncertain0
- malformed identifier5
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation af318a91-a18a-4906-8a71-26ed225303b5 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 1
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.599479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad3a52e1-d989-4f39-810d-e13e27e37d3a · outbound
This paper cites 2010, Impact of ENSO on European Climate ECMWF Seminar on Predictability in the European and Atlantic regions, ECMWF conference, Shinfield Park, Reading.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 2010, Impact of ENSO on European Climate ECMWF Seminar on Predictability in the European and Atlantic regions, ECMWF conference, Shinfield Park, Reading
Reference 2
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.604183Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d7fd31a0-1c46-4ea9-8c59-42c8905ec928 · outbound
This paper cites et al., 2019, Changing climate both increases and decreases European river floods.
Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2019, Changing climate both increases and decreases European river floods
Reference 3
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.608737Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 656b0bd9-9506-4c68-80ee-368a85350e6b · outbound
This paper cites J., Zebiak, S.
Leveraging GNN to Enhance MEF Method in Predicting ENSO J., Zebiak, S
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.613074Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 99dfedf2-afde-40f9-a5cf-ba80e05ad6a8 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 5
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.617381Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 127e1505-6c4c-48d2-9d7c-19b68d1fec34 · outbound
This paper cites & Zhang, R.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Zhang, R
Reference 6
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.621918Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 26d568a2-fbea-4795-94d0-4133894fd943 · outbound
This paper cites H., Kug, J.
Leveraging GNN to Enhance MEF Method in Predicting ENSO H., Kug, J
Reference 7
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.626672Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 684697d6-e3dc-4f5f-af35-4ea2b9438163 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 8
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.631304Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fa99f336-79b3-4df9-9c4f-91f8c8ba0507 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.635396Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 48bd79d8-7a44-4736-b544-59f2941db0be · outbound
This paper cites https://doi.org/10.1029/2023GL108013.
Leveraging GNN to Enhance MEF Method in Predicting ENSO https://doi.org/10.1029/2023GL108013
Reference 10
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.666184Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 349a7202-1735-4d6d-b86f-2197b35b1a78 · outbound
This paper cites & Xu, YP.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Xu, YP
Reference 11
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-05T22:12:03.653044Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation baa4d5ce-620f-4361-bda3-da9579c7121c · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 12
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.640740Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0f58ad34-87d6-407d-9b8e-26ed5f482ac2 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 13
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.626942Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 15089dab-8b6f-4478-a5ff-c5a3360b3f15 · outbound
This paper cites A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model.
Leveraging GNN to Enhance MEF Method in Predicting ENSO A Non-stationary and Probabilistic Approach for Drought Characterization Using Trivariate and Pairwise Copula Construction (PCC) Model
Reference 14
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.658839Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 24fa59a4-bebd-4f80-b161-e4aeef4ee137 · outbound
This paper cites et al., 2010, Influence of the state of the Indian Ocean Dipole on the following year’s El Niño.
Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2010, Influence of the state of the Indian Ocean Dipole on the following year’s El Niño
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.663509Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 1569b3ec-c938-4c16-82cf-6f59d3a64402 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 16
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.667643Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6dca58dc-1d69-40d4-bfe2-322d9717e578 · outbound
This paper cites J., Wallace, J.
Leveraging GNN to Enhance MEF Method in Predicting ENSO J., Wallace, J
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.672138Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 6eb644d4-7e60-45a4-85b9-fb5c871cc7a1 · outbound
This paper cites et al., 2007, Pacific meridional mode and El Niño—Southern Oscillation.
Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2007, Pacific meridional mode and El Niño—Southern Oscillation
Reference 18
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.611528Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4e681d70-79b5-4b16-a323-b67cb41c4708 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.681497Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fcd722f8-dfa7-4902-ae68-30ee3bc1eff9 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.685911Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4b03c84a-3151-4dc4-8f38-c386764f094e · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 21
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.597447Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb4f9ed8-49f3-4c99-8e9a-775eaedcf9e3 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 22
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.584007Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 591e0a27-6716-46b8-9e6a-7124aaffb9fd · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 23
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.569630Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cae62119-f928-4994-8f5e-c2997abb9e43 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 24
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.555461Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6c9037a1-bab9-4c35-960e-f264092cf752 · outbound
This paper cites Long Lead ENSO Forecast Using an Adaptive Graph Convolutional Recurrent Neural Network.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Long Lead ENSO Forecast Using an Adaptive Graph Convolutional Recurrent Neural Network
Reference 25
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.540852Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 5200a088-389b-4572-813d-9f3607f25943 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 26
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.712214Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation af6f8f07-96fc-436a-bb77-67318b73d2c8 · outbound
This paper cites & Luo, J.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Luo, J
Reference 27
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.716363Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4cc5402c-a0a0-4dba-bcbe-54b2ff4c649b · outbound
This paper cites Transfer learning for streamflow forecasting using unguaged MOPEX basins data set.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Transfer learning for streamflow forecasting using unguaged MOPEX basins data set
Reference 28
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.525633Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f49d9646-89f3-4434-80d6-d1fb5d79f5d3 · outbound
This paper cites Kim, ES., On, KW., Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data, Science Bulletin, 66, 13, 1358-1366, (2021).
Leveraging GNN to Enhance MEF Method in Predicting ENSO Kim, ES., On, KW., Unified deep learning model for El Niño/Southern Oscillation forecasts by incorporating seasonality in climate data, Science Bulletin, 66, 13, 1358-1366, (2021)
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.725014Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 86a24850-c71e-48fd-b138-9755f80d7701 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 30
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.511078Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c8f51fbc-69f4-421b-b0cf-d92fee91b6bd · outbound
This paper cites A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses.
Leveraging GNN to Enhance MEF Method in Predicting ENSO A Hybrid Neural Network Model for ENSO Prediction in Combination with Principal Oscillation Pattern Analyses
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.438110Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 532fa31f-9dc9-462b-ab08-e21dbfa5ecd4 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 32
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.424218Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation fb6a8e65-93ea-45cb-9839-278ddd2feefe · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 33
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.495338Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b4e076b0-d8f1-4ba6-89be-a60bb5ad9e12 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 34
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.480916Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 71832783-c912-4508-8f44-4a12a8378773 · outbound
This paper cites ENSO prediction,.
Leveraging GNN to Enhance MEF Method in Predicting ENSO ENSO prediction,
Reference 35
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.465949Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9e606802-7be4-4ed5-b2be-dd2c2be69870 · outbound
This paper cites Y., et al., (2021).
Leveraging GNN to Enhance MEF Method in Predicting ENSO Y., et al., (2021)
Reference 36
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.451534Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b1df8a94-a064-4fbc-9bc4-a63ef94401dc · outbound
This paper cites Natural climate variability and future climate policy.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Natural climate variability and future climate policy
Reference 37
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.436604Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0ae64b6c-4ef2-4517-acd3-a439a062fe76 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 38
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.763282Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation b302e863-5873-4112-b956-dd2dc0ef9dba · outbound
This paper cites & McPhaden, M.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & McPhaden, M
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.410038Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2a652573-d25b-4f14-82e4-9f16b7985d60 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 40
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.313348Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7d727248-0cce-48ed-a320-3fbc0b372fd1 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 41
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.395121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2d8502c5-46e6-43e9-a46d-3c18eb142591 · outbound
This paper cites & Sivic, J., 2014, Learning and transferring mid-level image representations using convolutional neural networks.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Sivic, J., 2014, Learning and transferring mid-level image representations using convolutional neural networks
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.381312Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 49e78ee1-b779-4ba9-a060-9b2a2864008f · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 43
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.367283Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ef7ee76-6756-4658-b210-ee3235d93a7d · outbound
This paper cites 2022, RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 2022, RL based hyper-parameters optimization algorithm (ROA) for convolutional neural network
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.353605Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dc9f0f2f-e02c-4a7e-81b1-0c1e7253a96b · outbound
This paper cites 2010, Understanding the difficulty of training deep feedforward neural networks.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 2010, Understanding the difficulty of training deep feedforward neural networks
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.339536Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 6b1f6347-6b6e-4397-8773-759389c22464 · outbound
This paper cites 5998- 6008.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 5998- 6008
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.325258Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bdece045-2e5c-434f-9092-1c46fb5c5423 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 47
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.311382Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c09f2a65-7d6a-4afc-9ba1-0282299da83e · outbound
This paper cites 1572-1583.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 1572-1583
Reference 48
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.297909Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3fcb18e1-01db-4d59-b988-8d18b1eeb503 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 49
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.812202Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 4669531b-fffc-46c0-931e-0ecc00d2e381 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 50
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.284305Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 2398c6be-705e-4753-9981-fa5b3efdb600 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 51
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.270586Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation dc743930-075f-4e1c-94fc-047a6866e4a1 · outbound
This paper cites Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Informer: Beyond Efficient Transformer for Long Sequence Time-Series Forecasting
Reference 52
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.257449Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 8350c41f-502e-47d4-a1de-a8192d8f2254 · outbound
This paper cites Generative Adversarial Networks.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Networks
Reference 53
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.828910Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8ad28712-6fac-426b-93b9-871c76af657d · outbound
This paper cites Improved Techniques for Training GANs.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Improved Techniques for Training GANs
Reference 54
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.834003Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation efc658ca-8f21-474e-8b6f-96385e7e0ad7 · outbound
This paper cites Computer Vision and Pattern Recognition.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Computer Vision and Pattern Recognition
Reference 55
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.242412Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation e917e4b4-2e1b-4f89-b46e-0e72bad11d53 · outbound
This paper cites Generative Adversarial Imitation Learning.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Imitation Learning
Reference 56
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.842446Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc4abefe-fd6a-476d-9896-5bd40dc42e84 · outbound
This paper cites Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Generative Adversarial Networks recover features in astrophysical images of galaxies beyond the deconvolution limit
Reference 57
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.227873Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 7567ab20-8eeb-4ac5-971f-5a07237a8e54 · outbound
This paper cites CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks.
Leveraging GNN to Enhance MEF Method in Predicting ENSO CosmoGAN: creating high-fidelity weak lensing convergence maps using Generative Adversarial Networks
Reference 58
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.851413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8943e1bd-9779-4ff9-810e-2662739680e9 · outbound
This paper cites Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Learning Particle Physics by Example: Location-Aware Generative Adversarial Networks for Physics Synthesis
Reference 59
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.856489Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f648d064-0082-4df8-a8ee-c546f15e1bb0 · outbound
This paper cites Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Precise simulation of electromagnetic calorimeter showers using a Wasserstein Generative Adversarial Network
Reference 60
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.861190Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation d71277ab-33f0-4fc8-97f8-271f47f7cd72 · outbound
This paper cites IEEE 14th International Conference on e-Science, pp.
Leveraging GNN to Enhance MEF Method in Predicting ENSO IEEE 14th International Conference on e-Science, pp
Reference 61
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.212188Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation b33086df-bc6e-4fd8-9401-bb3be94047ac · outbound
This paper cites Semantic Segmentation using Adversarial Networks.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Semantic Segmentation using Adversarial Networks
Reference 62
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.870181Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation f1fc19b2-f4e8-4e7f-b4a1-3977982a85b0 · outbound
This paper cites 2016, Generative Models, OpenAI.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 2016, Generative Models, OpenAI
Reference 63
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.198064Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation abac30d5-9614-4184-9d31-d79704911b15 · outbound
This paper cites Learning in Implicit Generative Models.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Learning in Implicit Generative Models
Reference 64
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.879318Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 88a336c4-577d-49d1-950a-5fa70dcf2ab3 · outbound
This paper cites BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding.
Leveraging GNN to Enhance MEF Method in Predicting ENSO BERT: Pre-training of Deep Bidirectional Transformers for Language Understanding
Reference 65
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.883600Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8013b3e0-8aa2-49c2-b0c5-e5dfe314b2eb · outbound
This paper cites Incorporating uncertainty in the design of water distribution systems.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Incorporating uncertainty in the design of water distribution systems
Reference 66
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.183274Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c7c14736-6d64-44d2-96a5-14bdcd931c21 · outbound
This paper cites E., Gneiting, T., & Kitsui, K.
Leveraging GNN to Enhance MEF Method in Predicting ENSO E., Gneiting, T., & Kitsui, K
Reference 67
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.169228Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c1156fbc-765f-4235-86d3-21f1faf16bbd · outbound
This paper cites TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems.
Leveraging GNN to Enhance MEF Method in Predicting ENSO TensorFlow: Large-Scale Machine Learning on Heterogeneous Distributed Systems
Reference 68
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:02.897886Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 2ed6098f-c20c-4d49-a35a-6d78ce6a34f0 · outbound
This paper cites et al., 2019, Quantum supremacy using a programmable superconducting processor.
Leveraging GNN to Enhance MEF Method in Predicting ENSO et al., 2019, Quantum supremacy using a programmable superconducting processor
Reference 69
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.155962Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d36d9be6-46a3-45e4-81e6-513bc028ab0a · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 70
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-05T22:12:03.274968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cf2c1529-c067-4377-9b39-510539ff82d5 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 71
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.259260Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f994a80b-c495-47f0-8d1b-855e902664de · outbound
This paper cites Calibration and Uncertainty Analysis for Isovel Contours-based Stage-discharge Rating Curve by Sequential Uncertainty Fitting (SUFI -2) Method.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Calibration and Uncertainty Analysis for Isovel Contours-based Stage-discharge Rating Curve by Sequential Uncertainty Fitting (SUFI -2) Method
Reference 72
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.246180Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c22e54a5-e343-45b4-8c54-10eefa817a0e · outbound
This paper cites Uncertainty in the analysis of urban water supply and distribution systems.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Uncertainty in the analysis of urban water supply and distribution systems
Reference 73
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.141424Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 83b0e4a9-1d0c-4322-a11d-acad0a21ddb1 · outbound
This paper cites Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Uncertainty Analysis of River Water Quality Based on Stochastic Optimization of Waste Load Allocation Using the Generalized Likelihood Uncertainty Estimation Method
Reference 74
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.232053Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation bbd287b3-afe6-4644-9790-0d92158a0f8b · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 75
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.217797Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation cef815da-69fc-48ca-8346-a8e36e4177b1 · outbound
This paper cites 2016 Jun;22(6):839-51.
Leveraging GNN to Enhance MEF Method in Predicting ENSO 2016 Jun;22(6):839-51
Reference 76
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.204125Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation d72243d5-6f87-40ae-91bb-1a569573c879 · outbound
This paper cites Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content using Bootstrap Statistics.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Seasonal Uncertainty Estimation of Surface Nuclear Magnetic Resonance Water Content using Bootstrap Statistics
Reference 78
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-05T22:12:03.180638Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 56bfdc1b-577c-4760-9481-bfa16ef3754e · outbound
This paper cites & Chu, H.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Chu, H
Reference 79
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.165885Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 1ddb58ed-8c69-4eb7-8c0e-01cea3c89974 · outbound
This paper cites & Jiang, Y.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Jiang, Y
Reference 80
- Resolution
- malformed identifier
- no resolver link, observed 2026-08-05T22:12:02.949435Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation a3c24cc8-7596-40e2-a32c-3b5124a326cb · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 81
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.153192Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 61bd7148-a882-4731-afa8-ff5b56aa23ba · outbound
This paper cites Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Hybrid Iterative and Tree-Based Machine Learning Algorithms for Lake Water Level Forecasting
Reference 82
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.140462Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 08f594a5-57a4-4c88-9cfe-d8794a676cf6 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 83
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.126940Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 58ebd7f8-cde9-4615-a6a3-bf2ec3558d98 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 84
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.125256Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4b153a62-7de4-47df-ad9c-1ef037124c46 · outbound
This paper cites & Memon, F.A.
Leveraging GNN to Enhance MEF Method in Predicting ENSO & Memon, F.A
Reference 85
- Resolution
- malformed identifier
- doi_truncated, observed 2026-08-05T22:12:03.111552Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 23644714-5611-4283-889d-9f9afcd8145d · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 86
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.112319Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation c4ec0e0a-d9d4-4c83-9d0a-5c84ee908b7c · outbound
This paper cites Renwick, and A.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Renwick, and A
Reference 87
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.097805Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation a9e4d598-a978-45bc-93b8-f366f6a054b4 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 88
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.083763Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 535b1323-6490-4772-830f-8d645a2dd490 · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 89
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.068680Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 4532d17a-8cec-4aa8-ba26-ad37fc17cecd · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 90
- Resolution
- unresolved
- raw_fallback, observed 2026-08-05T22:12:04.055263Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f1e3c1d4-9ed8-4f98-829e-3365b0b595a7 · outbound
This paper cites al., 2024, Climate-invariant machine learning, Science Advances, 10, 6.
Leveraging GNN to Enhance MEF Method in Predicting ENSO al., 2024, Climate-invariant machine learning, Science Advances, 10, 6
Reference 92
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.041473Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation f2f49823-7ea8-450a-8e15-10c53d380f1d · outbound
This paper cites an unresolved cited work.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Unresolved cited work
Reference 93
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:03.005479Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9ee1525c-b8c3-4549-9418-365f5db2542a · outbound
This paper cites Multimodal Deep Learning for Two-Year ENSO Forecast.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Multimodal Deep Learning for Two-Year ENSO Forecast
Reference 94
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.087202Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9901bae7-4717-4300-bbb8-39c8ece08de4 · outbound
This paper cites Toward long-range ENSO prediction with an explainable deep learning model.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Toward long-range ENSO prediction with an explainable deep learning model
Reference 95
- Resolution
- verified exact
- doi, observed 2026-08-05T22:12:03.072383Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3c8cf4f6-8662-48e4-93fa-a5f6a815fb11 · outbound
This paper cites Novel Deep Learning Method for Forecasting ENSO.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Novel Deep Learning Method for Forecasting ENSO
Reference 96
- Resolution
- verified exact
- raw_fallback, observed 2026-08-05T22:12:03.870421Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 3e5ce67b-e66c-48e7-a9ca-ff295b6881ba · outbound
This paper cites Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Forecasting El Niño Six Months in Advance Utilizing Augmented Convolutional Neural Network
Reference 97
- Resolution
- unresolved
- no resolver link, observed 2026-08-05T22:12:03.022082Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 60cdafe2-dba1-4707-8aed-61515fb1cd91 · outbound
This paper cites An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method.
Leveraging GNN to Enhance MEF Method in Predicting ENSO An error indicator for two-dimensional elasticity problems in the discrete least squares meshless method
Reference 98
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.026841Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 9c71c5a5-c212-4a84-a9dc-716c80daa9a3 · outbound
This paper cites Efficiency Test of the Discrete Least Squares Meshless Method in Solving Heat Conduction Problems Using Error Estimation.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Efficiency Test of the Discrete Least Squares Meshless Method in Solving Heat Conduction Problems Using Error Estimation
Reference 99
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-05T22:12:04.011158Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Observation 0db05c58-cbe5-4c6d-8634-f14ef3801c21 · outbound
This paper cites Entropic learning enables skilful forecasts of ENSO phase at up to two years lead time.
Leveraging GNN to Enhance MEF Method in Predicting ENSO Entropic learning enables skilful forecasts of ENSO phase at up to two years lead time
Reference 100
- Resolution
- verified exact
- local_arxiv, observed 2026-08-05T22:12:03.684968Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.
Pith citing papers
Observation 7d2ef3bf-f9bc-4526-8a89-01109034cc1e · inbound
Distillation of CNN Ensemble Results for Enhanced Long-Term Prediction of the ENSO Phenomenon cites this paper.
Distillation of CNN Ensemble Results for Enhanced Long-Term Prediction of the ENSO Phenomenon Leveraging GNN to Enhance MEF Method in Predicting ENSO
Reference 32
- Resolution
- verified exact
- local_arxiv, observed 2026-08-04T23:56:04.174161Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.