Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-07T15:19:03.863484Z
Paper Citation Record · LEDGER
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting
As of 21 August 2026, this Paper Citation Record lists 24 of 24 outbound references and 0 inbound Pith citation observations for arXiv:2608.06082.
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 2026-08-20T06:33:59.587034+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
24 of 24 outbound references displayed
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- verified fuzzy22
- unresolved1
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- malformed identifier0
- metadata mismatch0
External citation measurements
No source-named external measurement is stored.
Outbound references
Observation ee75be40-a642-4b83-8f28-5eb9362befac · outbound
This paper cites It is the primary pathway for water returning to the atmosphere, influencing freshwater availability, agricultural productivity and ecological balance.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting It is the primary pathway for water returning to the atmosphere, influencing freshwater availability, agricultural productivity and ecological balance
Reference 1
- Resolution
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- raw_fallback, observed 2026-08-07T15:19:07.003368Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 4288a6ea-ff61-4f28-b92f-55653d6da8f0 · outbound
This paper cites An overview of pertinent literature that relates to our study is given below.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting An overview of pertinent literature that relates to our study is given below
Reference 2
- Resolution
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- raw_fallback, observed 2026-08-07T15:19:06.897242Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation dd8b1f93-fd3a-46b1-9655-471b426b7765 · outbound
This paper cites This diverse area is situated between longitudes of 87° E and 98° E, and latitudes of 21° N to 30° N.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting This diverse area is situated between longitudes of 87° E and 98° E, and latitudes of 21° N to 30° N
Reference 3
- Resolution
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- raw_fallback, observed 2026-08-07T15:19:06.782643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d2188f59-1e93-416c-8768-36bd75a64dee · outbound
This paper cites Evaluated performance metrics of the model has been shown in Table 3.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Evaluated performance metrics of the model has been shown in Table 3
Reference 4
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- raw_fallback, observed 2026-08-07T15:19:06.692545Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 62b76ffb-b026-4ef6-9fc5-26f3fa92f718 · outbound
This paper cites Here, we employed the transformer-based attention mechanism to leverage the efficiency of a CNN -based encoder-decoder model.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Here, we employed the transformer-based attention mechanism to leverage the efficiency of a CNN -based encoder-decoder model
Reference 5
- Resolution
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- raw_fallback, observed 2026-08-07T15:19:06.592519Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 9165a483-339c-4b54-a9fe-10b67f8d3519 · outbound
This paper cites Deep learning in environmental remote sensing: Achievements and challenges.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Deep learning in environmental remote sensing: Achievements and challenges
Reference 6
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- raw_fallback, observed 2026-08-07T15:19:06.487384Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 24d1b221-6b6c-4fea-889a-ce1fedf1d9b0 · outbound
This paper cites To be Artificial Intelligence for sustainability or not to be sustainable Artificial Intelligence.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting To be Artificial Intelligence for sustainability or not to be sustainable Artificial Intelligence
Reference 7
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- raw_fallback, observed 2026-08-07T15:19:06.391807Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation d8ed1082-7fc1-4910-90ad-1ea7eb9750ae · outbound
This paper cites SmaAt-UNet: Precipitation nowcasting using a small attention -UNet architecture.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting SmaAt-UNet: Precipitation nowcasting using a small attention -UNet architecture
Reference 8
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- raw_fallback, observed 2026-08-07T15:19:06.271162Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 783e6733-7a7f-44c1-803e-4c69778eaf3b · outbound
This paper cites Evaluating pySTEPS optical flow algorithms for convection nowcasting over the Maritime Continent using satellite data.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Evaluating pySTEPS optical flow algorithms for convection nowcasting over the Maritime Continent using satellite data
Reference 9
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- raw_fallback, observed 2026-08-07T15:19:06.095710Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 903ced0a-f01e-4a6b-b644-2b88bff958d3 · outbound
This paper cites trajPredRNN+: A new approach for precipitation nowcasting with weather radar echo images based on deep learning.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting trajPredRNN+: A new approach for precipitation nowcasting with weather radar echo images based on deep learning
Reference 10
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- raw_fallback, observed 2026-08-07T15:19:05.955643Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 34268935-3a7f-4828-a0de-2065efe885a4 · outbound
This paper cites MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications
Reference 11
- Resolution
- unresolved
- no resolver link, observed 2026-08-07T15:19:02.783689Z
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 95834f33-e1fa-4be0-9e80-4b52a883f6b7 · outbound
This paper cites Densely connected convolutional networks.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Densely connected convolutional networks
Reference 12
- Resolution
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- raw_fallback, observed 2026-08-07T15:19:05.804303Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 8f94f499-872f-4304-9885-32f1f5ce3504 · outbound
This paper cites DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting DeePS at: A deep learning model for prediction of satellite images for nowcasting purposes
Reference 13
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- raw_fallback, observed 2026-08-07T15:19:05.696603Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 3864a570-13ee-412f-88b2-31b6325188b4 · outbound
This paper cites Precipitation Prediction Using an Ensemble of Lightweight Learners.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Precipitation Prediction Using an Ensemble of Lightweight Learners
Reference 14
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- local_arxiv, observed 2026-08-07T15:19:04.004271Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 37e83169-8016-4723-b695-7cbabe6cb0e2 · outbound
This paper cites EfficientRainNet: Leveraging EfficientNetV2 for memory -efficient rainfall nowcasting.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting EfficientRainNet: Leveraging EfficientNetV2 for memory -efficient rainfall nowcasting
Reference 15
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- verified fuzzy
- raw_fallback, observed 2026-08-07T15:19:05.550856Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation def0b0a6-5260-4540-aa6f-2047e39b3819 · outbound
This paper cites Lightweight residual U -Net model for hourly precipitation nowcasting.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Lightweight residual U -Net model for hourly precipitation nowcasting
Reference 16
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- raw_fallback, observed 2026-08-07T15:19:05.419206Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 5336e16e-baeb-4d18-9fe5-53230e00b420 · outbound
This paper cites Onset of summer monsoon in Northeast India is preceded by enhanced transpiration.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Onset of summer monsoon in Northeast India is preceded by enhanced transpiration
Reference 17
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- raw_fallback, observed 2026-08-07T15:19:05.307576Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 898bacec-e0c2-4b10-9f5e-5e1743af4211 · outbound
This paper cites Climate change impacts on socio -hydrological spaces of the Brahmaputra floodplain in Assam, Northeast India: A review.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Climate change impacts on socio -hydrological spaces of the Brahmaputra floodplain in Assam, Northeast India: A review
Reference 18
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- raw_fallback, observed 2026-08-07T15:19:05.193165Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 1c1029da-0b56-4901-a0c5-67b149ec7578 · outbound
This paper cites Optimal rainfall threshold for monsoon rice production in India varies across space and time.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Optimal rainfall threshold for monsoon rice production in India varies across space and time
Reference 19
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- raw_fallback, observed 2026-08-07T15:19:05.010309Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation 6aa1ecd6-c590-422b-aa9f-13b68cc06571 · outbound
This paper cites Persistent loss of biologically -rich tropical forests in the Indian Eastern Himalaya.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Persistent loss of biologically -rich tropical forests in the Indian Eastern Himalaya
Reference 20
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- raw_fallback, observed 2026-08-07T15:19:04.891358Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation bba0777c-3d31-44bd-a42f-1c537f7350d4 · outbound
This paper cites NASA global precipitation measurement (GPM) integrated multi -satellite retrievals for GPM (IMERG).
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting NASA global precipitation measurement (GPM) integrated multi -satellite retrievals for GPM (IMERG)
Reference 21
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- raw_fallback, observed 2026-08-07T15:19:04.751167Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e10f5fbe-c417-4eff-8632-0b6e1c22a7c1 · outbound
This paper cites Attention is all you need.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Attention is all you need
Reference 22
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- raw_fallback, observed 2026-08-07T15:19:04.592070Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation e878bd9f-e58a-44ab-b1b4-d32921e032b7 · outbound
This paper cites Precipitation nowcasting using transformer -based generative models and transfer learning for improved disaster preparedness.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Precipitation nowcasting using transformer -based generative models and transfer learning for improved disaster preparedness
Reference 23
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- raw_fallback, observed 2026-08-07T15:19:04.431950Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Observation c543b376-8285-4c78-b8dc-98df0eb9347c · outbound
This paper cites Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling.
Dense-Cast: A lightweight ensemble of deep learning architectures for precipitation nowcasting Decomposition of the mean squared error and NSE performance criteria: Implications for improving hydrological modelling
Reference 24
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- raw_fallback, observed 2026-08-07T15:19:04.184636Z
Source-reported events for the cited work
No event found in the named queried sources as of 2026-08-20T06:33:59.587034+00:00.
Pith citing papers
No inbound Pith citation observations are available.