Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-11T23:29:18.174444Z
Paper Citation Record · LEDGER
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting
As of 23 August 2026, this Paper Citation Record lists 47 of 47 outbound references and 0 inbound Pith citation observations for arXiv:2412.02503.
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 2026-08-23T06:30:58.430688+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links
A source-named dated measurement, never combined with another source.
Source: cited_works
Reference resolution
47 of 47 outbound references displayed
- verified exact1
- verified fuzzy37
- unresolved9
- parse uncertain0
- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation 21a4bd39-cd0b-4bcc-a7dd-dbcffd6dcaaf · outbound
This paper cites Expert gate: Lifelong learning with a network of experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Expert gate: Lifelong learning with a network of experts
Reference 1
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:19.027365Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 2b69bcab-83fa-4462-a677-ba250f5ca8f0 · outbound
This paper cites The quiet rev- olution of numerical weather prediction.Nature, 525(7567): 47–55, 2015.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting The quiet rev- olution of numerical weather prediction.Nature, 525(7567): 47–55, 2015
Reference 2
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:19.012789Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d7a842c5-01af-4528-96ad-94b72cc7bce3 · outbound
This paper cites Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970): 533–538, 2023.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Accurate medium-range global weather forecasting with 3d neural networks.Nature, 619(7970): 533–538, 2023
Reference 3
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.998121Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 466e51fc-2367-4b01-839e-0dca20fedf89 · outbound
This paper cites A Foundation Model for the Earth System.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting A Foundation Model for the Earth System
Reference 4
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:17.976075Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation fc9b1ef6-7f8c-4cb1-817f-de184a54113d · outbound
This paper cites Spherical fourier neural operators: learning stable dynamics on the sphere.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Spherical fourier neural operators: learning stable dynamics on the sphere
Reference 5
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.984671Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation d7c55e0b-434f-4e6f-974d-28ab16567335 · outbound
This paper cites Self-prompting perceptual edge learning for dense prediction.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):4528–4541, 2023.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Self-prompting perceptual edge learning for dense prediction.IEEE Transactions on Circuits and Systems for Video Technology, 34(6):4528–4541, 2023
Reference 6
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.970925Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 456de339-6788-4e54-9724-cd923f4d4171 · outbound
This paper cites Pixel matching network for cross-domain few- shot segmentation.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Pixel matching network for cross-domain few- shot segmentation
Reference 7
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.954645Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8f306534-99f0-42c8-9781-1b133a4b1d76 · outbound
This paper cites Multi-content interaction net- work for few-shot segmentation.ACM Transactions on Mul- timedia Computing, Communications and Applications, 20 (6):1–20, 2024.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Multi-content interaction net- work for few-shot segmentation.ACM Transactions on Mul- timedia Computing, Communications and Applications, 20 (6):1–20, 2024
Reference 8
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.939128Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 148c3307-c7b7-410b-9609-39500975375b · outbound
This paper cites Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead.arXiv:2304.02948,.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Fengwu: Pushing the skillful global medium-range weather forecast beyond 10 days lead.arXiv:2304.02948,
Reference 9
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.000413Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 9162e660-a74e-483b-acd7-c13d5350e6ba · outbound
This paper cites Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast.npj Climate and Atmospheric Science, 6(1):190,.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Fuxi: A cascade ma- chine learning forecasting system for 15-day global weather forecast.npj Climate and Atmospheric Science, 6(1):190,
Reference 10
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.924720Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 564bf270-147a-4507-b39b-6606d7c2ff49 · outbound
This paper cites Lifelong language pretraining with distribution-specialized experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Lifelong language pretraining with distribution-specialized experts
Reference 11
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.909859Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation efe204de-871c-4b5e-a711-f3947e17b5c5 · outbound
This paper cites Flashattention: Fast and memory-efficient exact attention with io-awareness.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Flashattention: Fast and memory-efficient exact attention with io-awareness
Reference 12
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.894570Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 9d9ce19a-6636-4e1b-8726-72f0143f52de · outbound
This paper cites An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale
Reference 13
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.017667Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation ad769341-bf9a-4487-8014-38623c1ae843 · outbound
This paper cites EWMoE: An effective model for global weather forecasting with mixture-of-experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting EWMoE: An effective model for global weather forecasting with mixture-of-experts
Reference 14
- Resolution
- verified exact
- local_arxiv, observed 2026-08-11T23:29:18.347169Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation fc667398-da80-4bc6-ba1d-fd5324b3f141 · outbound
This paper cites Oneforecast: A universal framework for global and regional weather forecasting.arXiv:2502.00338, 2025.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Oneforecast: A universal framework for global and regional weather forecasting.arXiv:2502.00338, 2025
Reference 15
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.026575Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation df752cec-8c2b-440d-9786-3df3c70fe8b6 · outbound
This paper cites Resurrecting old classes with new data for exemplar- free continual learning.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Resurrecting old classes with new data for exemplar- free continual learning
Reference 16
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.880331Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 560f1a47-6255-4d80-8a49-c548f9795b79 · outbound
This paper cites Deep residual learning for image recognition.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Deep residual learning for image recognition
Reference 17
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.036946Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c7f67c89-4207-4c81-9f3f-deadb3bce466 · outbound
This paper cites The era5 global reanalysis.Quarterly Journal of the Royal Mete- orological Society, 146(730):1999–2049, 2020.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting The era5 global reanalysis.Quarterly Journal of the Royal Mete- orological Society, 146(730):1999–2049, 2020
Reference 18
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.856175Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 7f241a64-b804-409a-96d3-c2c0384cb641 · outbound
This paper cites Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Adaptive mixtures of local experts.Neu- ral computation, 3(1):79–87, 1991
Reference 19
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.046701Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 8013a62d-8dd8-47fe-a58b-937b9c82b361 · outbound
This paper cites Forecasting Global Weather with Graph Neural Networks.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Forecasting Global Weather with Graph Neural Networks
Reference 20
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.050981Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation c62bcddb-9b79-4219-8b53-cd65c851202a · outbound
This paper cites Eclipse: Efficient continual learning in panoptic segmenta- tion with visual prompt tuning.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Eclipse: Efficient continual learning in panoptic segmenta- tion with visual prompt tuning
Reference 21
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.832088Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 13f920bd-d2b6-4b12-b01e-45f48c1186d3 · outbound
This paper cites Four- castnet: Accelerating global high-resolution weather fore- casting using adaptive fourier neural operators.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Four- castnet: Accelerating global high-resolution weather fore- casting using adaptive fourier neural operators
Reference 22
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.817538Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4420fc79-85f1-4b24-acac-2cd9a38e3fa8 · outbound
This paper cites Learning skillful medium-range global weather forecasting.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Learning skillful medium-range global weather forecasting
Reference 23
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.803154Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5b99c475-a459-45c9-902b-0cc9f9ff02f9 · outbound
This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Fourier Neural Operator for Parametric Partial Differential Equations
Reference 24
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.070264Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation dedccc39-25a5-4da3-8fcc-2e6c7bf88fe1 · outbound
This paper cites Swin transformer: Hierarchical vision transformer using shifted windows.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Swin transformer: Hierarchical vision transformer using shifted windows
Reference 25
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.787393Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 70f05f3c-6582-4d20-a255-7e718df06b74 · outbound
This paper cites The ecmwf ensemble prediction sys- tem: Methodology and validation.Quarterly journal of the royal meteorological society, 122(529):73–119, 1996.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting The ecmwf ensemble prediction sys- tem: Methodology and validation.Quarterly journal of the royal meteorological society, 122(529):73–119, 1996
Reference 26
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.772716Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 8b129796-fff4-4a74-b143-9806f3177f72 · outbound
This paper cites Gupta, and Aditya Grover.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Gupta, and Aditya Grover
Reference 27
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.757790Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3306efb9-1f6c-4700-8760-cc07135a4b19 · outbound
This paper cites Scaling transformer neu- ral networks for skillful and reliable medium-range weather forecasting.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Scaling transformer neu- ral networks for skillful and reliable medium-range weather forecasting
Reference 28
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.743970Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 77b895ce-0635-4c3d-b090-8f0f6b8dc45f · outbound
This paper cites Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Adaptive VIO: Deep Visual-Inertial Odometry with Online Continual Learning
Reference 29
- Resolution
- unresolved
- no resolver link, observed 2026-08-11T23:29:18.094269Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 65ba238e-cbe8-419c-b0ad-d3dfa88a84a4 · outbound
This paper cites Switch diffusion trans- former: Synergizing denoising tasks with sparse mixture-of- experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Switch diffusion trans- former: Synergizing denoising tasks with sparse mixture-of- experts
Reference 30
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.729251Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation e55ee5e0-5013-4488-9302-82ee3393e161 · outbound
This paper cites Probabilistic weather forecasting with machine learn- ing.Nature, 637(8044):84–90, 2025.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Probabilistic weather forecasting with machine learn- ing.Nature, 637(8044):84–90, 2025
Reference 31
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.713170Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b6765926-b61c-43b9-92c3-d81be1d22c2c · outbound
This paper cites The thorpex interactive grand global ensem- ble (tigge).
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting The thorpex interactive grand global ensem- ble (tigge)
Reference 32
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.699427Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 317fee79-d76c-4d15-aad4-10010e13d753 · outbound
This paper cites Implementation of the semi-lagrangian method in a high- resolution version of the ecmwf forecast model.Monthly Weather Review, 123(2):489–514, 1995.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Implementation of the semi-lagrangian method in a high- resolution version of the ecmwf forecast model.Monthly Weather Review, 123(2):489–514, 1995
Reference 33
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.685535Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation b97518fd-4818-4845-b8f3-14b481ec9dec · outbound
This paper cites Learning equi-angular represen- tations for online continual learning.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Learning equi-angular represen- tations for online continual learning
Reference 34
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.670941Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 34050c51-f2af-494a-b299-d4eed0f45af4 · outbound
This paper cites Semantically-shifted incremental adapter-tuning is a continual vitransformer.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Semantically-shifted incremental adapter-tuning is a continual vitransformer
Reference 35
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.656445Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a81860c0-33b8-4c98-b5a3-08921c7431a0 · outbound
This paper cites ClimODE: Climate forecasting with physics-informed neu- ral ODEs.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting ClimODE: Climate forecasting with physics-informed neu- ral ODEs
Reference 36
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.642444Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 96639b8a-f02c-4e7e-804c-16b955b44c5a · outbound
This paper cites Omni-smola: Boosting generalist multimodal models with soft mixture of low-rank experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Omni-smola: Boosting generalist multimodal models with soft mixture of low-rank experts
Reference 37
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.629041Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation aa17e121-8009-4cf7-b3ad-cef042198662 · outbound
This paper cites Koopmanlab: machine learning for solving complex physics equations.APL Machine Learning, 1(3), 2023.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Koopmanlab: machine learning for solving complex physics equations.APL Machine Learning, 1(3), 2023
Reference 38
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.614817Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 4c11922d-f8ea-4f9a-84ef-3a352c8f984a · outbound
This paper cites Generalizing weather forecast to fine-grained temporal scales via physics-ai hybrid modeling.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Generalizing weather forecast to fine-grained temporal scales via physics-ai hybrid modeling
Reference 39
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.600544Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 5fd48227-e865-4e89-bde0-39a07106cd69 · outbound
This paper cites Orchestrate latent expertise: Advancing online contin- ual learning with multi-level supervision and reverse self- distillation.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Orchestrate latent expertise: Advancing online contin- ual learning with multi-level supervision and reverse self- distillation
Reference 40
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.585843Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 736a611b-eae6-4a51-a994-fa483ca80c25 · outbound
This paper cites Multi-task dense prediction via mixture of low-rank experts.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Multi-task dense prediction via mixture of low-rank experts
Reference 41
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.571847Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 11be7dab-5cb3-48fb-89bd-9ae0ed4aa043 · outbound
This paper cites Online task-free continual gener- ative and discriminative learning via dynamic cluster mem- ory.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Online task-free continual gener- ative and discriminative learning via dynamic cluster mem- ory
Reference 42
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.556980Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 1e5d14d3-2fe8-4cd3-967a-9e5490c99849 · outbound
This paper cites Probabilistic weather forecasting with de- terministic guidance-based diffusion model.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Probabilistic weather forecasting with de- terministic guidance-based diffusion model
Reference 43
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.541566Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation a753bd8e-c226-46e6-995b-226268924902 · outbound
This paper cites Diffcast: A uni- fied framework via residual diffusion for precipitation now- casting.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Diffcast: A uni- fied framework via residual diffusion for precipitation now- casting
Reference 44
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.526842Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 3598dc85-70ae-49a4-8b72-ad8c689d1e51 · outbound
This paper cites Boosting continual learning of vision-language models via mixture-of-experts adapters.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Boosting continual learning of vision-language models via mixture-of-experts adapters
Reference 45
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.512718Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 0074014f-d4fc-4772-9e40-7b30d6804762 · outbound
This paper cites Skilful nowcasting of extreme precipitation with nowcastnet.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Skilful nowcasting of extreme precipitation with nowcastnet
Reference 46
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.498786Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Observation 613b2936-8836-4ccf-9447-5070cd407f27 · outbound
This paper cites Rcl: Reliable continual learning for uni- fied failure detection.
VA-MoE: Variables-Adaptive Mixture of Experts for Incremental Weather Forecasting Rcl: Reliable continual learning for uni- fied failure detection
Reference 47
- Resolution
- verified fuzzy
- raw_fallback, observed 2026-08-11T23:29:18.483637Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-23T06:30:58.430688+00:00.
Pith citing papers
No inbound Pith citation observations are available.