Paper Citation Record · LEDGER

Spatio-temporal Causal Learning for Streamflow Forecasting

As of 14 August 2026, this Paper Citation Record lists 39 of 39 outbound references and 0 inbound Pith citation observations for arXiv:2411.17937.

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pith.paper-citation-record.v1
2411.17937 v1

Coverage vector

measured 39 of 39 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-12T11:45:54.959328Z

measured 39 of 39 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

A source-named dated measurement, never combined with another source.

Source: cited_works

Reference resolution

39 of 39 outbound references displayed

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External citation measurements

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Outbound references

Observation ab96ad2b-da08-44e9-900f-642856fc7851 · outbound

This paper cites Streamflow forecasting: overview of ad- vances in data-driven techniques,.

Spatio-temporal Causal Learning for Streamflow Forecasting Streamflow forecasting: overview of ad- vances in data-driven techniques,

Reference 1

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Observation b282267f-7109-491e-b21c-bbde1ef747bb · outbound

This paper cites Spatio-temporal graph convolutional net- works: a deep learning framework for traffic forecasting,.

Spatio-temporal Causal Learning for Streamflow Forecasting Spatio-temporal graph convolutional net- works: a deep learning framework for traffic forecasting,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:55.483534Z

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Observation 2371a511-5f71-43f0-953b-6c8827cca897 · outbound

This paper cites What role does hydrological science play in the age of machine learning?.

Spatio-temporal Causal Learning for Streamflow Forecasting What role does hydrological science play in the age of machine learning?

Reference 3

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Observation e3739f16-9d08-4163-8cb1-1865e93e0d66 · outbound

This paper cites A simple hydrologically based model of land surface water and energy fluxes for general circulation models,.

Spatio-temporal Causal Learning for Streamflow Forecasting A simple hydrologically based model of land surface water and energy fluxes for general circulation models,

Reference 4

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Observation 6d080cfa-fdda-4e62-9659-33843eefb825 · outbound

This paper cites A physically based description of floodplain inundation dynamics in a global river routing model,.

Spatio-temporal Causal Learning for Streamflow Forecasting A physically based description of floodplain inundation dynamics in a global river routing model,

Reference 5

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Observation 2c04de2a-e171-4b57-b509-2bcb73b932da · outbound

This paper cites Design principles for engineering wetlands to improve resilience of coupled built and natural water infrastructure,.

Spatio-temporal Causal Learning for Streamflow Forecasting Design principles for engineering wetlands to improve resilience of coupled built and natural water infrastructure,

Reference 6

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Observation 69465683-0efa-43e5-899f-f5dd29e206fc · outbound

This paper cites Modeling daily floods in the lancang-mekong river basin using an improved hydrological-hydrodynamic model,.

Spatio-temporal Causal Learning for Streamflow Forecasting Modeling daily floods in the lancang-mekong river basin using an improved hydrological-hydrodynamic model,

Reference 7

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Observation d6732404-fe16-4826-802c-a09564b58d83 · outbound

This paper cites Convolutional lstm network: A machine learning approach for precipitation nowcasting,.

Spatio-temporal Causal Learning for Streamflow Forecasting Convolutional lstm network: A machine learning approach for precipitation nowcasting,

Reference 8

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Observation 5606979f-09fb-4cc8-a7ba-126fab04c116 · outbound

This paper cites Rainfall–runoff modelling using long short-term memory (lstm) net- works,.

Spatio-temporal Causal Learning for Streamflow Forecasting Rainfall–runoff modelling using long short-term memory (lstm) net- works,

Reference 9

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Observation 4f7510e4-c97b-4bac-bc7d-6a4f44ebffc4 · outbound

This paper cites Toward improved predictions in ungauged basins: Exploiting the power of machine learning,.

Spatio-temporal Causal Learning for Streamflow Forecasting Toward improved predictions in ungauged basins: Exploiting the power of machine learning,

Reference 10

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Observation 507ab277-9acf-462f-8109-db7ad044080a · outbound

This paper cites Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing pre- cipitation products in large scale basins,.

Spatio-temporal Causal Learning for Streamflow Forecasting Spatiotemporal deep learning rainfall-runoff forecasting combined with remote sensing pre- cipitation products in large scale basins,

Reference 11

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Observation 8a6d5134-736e-43a3-ab7e-5d9c56a5429a · outbound

This paper cites Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network,.

Spatio-temporal Causal Learning for Streamflow Forecasting Fully distributed rainfall-runoff modeling using spatial-temporal graph neural network,

Reference 12

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Observation 9332cc4a-008a-4a89-a86f-40edba7ae305 · outbound

This paper cites Neural General Circulation Models for Weather and Climate.

Spatio-temporal Causal Learning for Streamflow Forecasting Neural General Circulation Models for Weather and Climate

Reference 13

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Observation 7edb9479-fb98-4b11-8c9a-5dfa56b85b73 · outbound

This paper cites A bayesian neural network for an accurate representation and transformation of runoff dynamics: A case study of the brazos river basin in texas,.

Spatio-temporal Causal Learning for Streamflow Forecasting A bayesian neural network for an accurate representation and transformation of runoff dynamics: A case study of the brazos river basin in texas,

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:55.337430Z

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Observation 6a45415e-d3dc-47ab-9317-11e7931bef13 · outbound

This paper cites Accurate prediction of streamflow using long short-term memory network: a case study in the brazos river basin in texas,.

Spatio-temporal Causal Learning for Streamflow Forecasting Accurate prediction of streamflow using long short-term memory network: a case study in the brazos river basin in texas,

Reference 15

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Observation a648cbf9-944d-42e0-9f2a-589eef28483f · outbound

This paper cites Applying graph neural networks to improve the data resolution of stream water quality monitoring networks,.

Spatio-temporal Causal Learning for Streamflow Forecasting Applying graph neural networks to improve the data resolution of stream water quality monitoring networks,

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:55.310002Z

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Observation ca0cab99-d2d1-4f62-a21e-541c2fb2d55f · outbound

This paper cites A deep learning approach to distributed rainfall-runoff modeling with spatiotemporal interpretation.

Spatio-temporal Causal Learning for Streamflow Forecasting A deep learning approach to distributed rainfall-runoff modeling with spatiotemporal interpretation

Reference 17

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Observation 6f3bfeff-5f7d-4378-bf4b-48f5d7f1fef4 · outbound

This paper cites Artificial intelligence tech- niques in hydrology and water resources management,.

Spatio-temporal Causal Learning for Streamflow Forecasting Artificial intelligence tech- niques in hydrology and water resources management,

Reference 18

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Observation a7724a18-c84d-4f1c-93f3-0e680b435007 · outbound

This paper cites A transdisciplinary review of deep learning research and its relevance for water resources scientists,.

Spatio-temporal Causal Learning for Streamflow Forecasting A transdisciplinary review of deep learning research and its relevance for water resources scientists,

Reference 19

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Observation 4facb015-fd43-43d7-9e2b-77a95d705775 · outbound

This paper cites Spatio-temporal neural structural causal models for bike flow prediction,.

Spatio-temporal Causal Learning for Streamflow Forecasting Spatio-temporal neural structural causal models for bike flow prediction,

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-12T11:45:55.254003Z

Source-reported events for the cited work

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Observation 30393a9e-7f4d-4e6f-afe2-6f6739757b9a · outbound

This paper cites Deciphering spatio-temporal graph forecasting: A causal lens and treatment,.

Spatio-temporal Causal Learning for Streamflow Forecasting Deciphering spatio-temporal graph forecasting: A causal lens and treatment,

Reference 21

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Source-reported events for the cited work

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Observation 96254cce-fabf-4009-a16e-3d1cee787039 · outbound

This paper cites Causal discovery for feature selection in phys- ical process-based hydrological systems,.

Spatio-temporal Causal Learning for Streamflow Forecasting Causal discovery for feature selection in phys- ical process-based hydrological systems,

Reference 22

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Observation 6afeedbb-0af1-49c3-94c3-cc6ce74cc9b8 · outbound

This paper cites Stcd: A spatio- temporal causal discovery framework for hydrological systems,.

Spatio-temporal Causal Learning for Streamflow Forecasting Stcd: A spatio- temporal causal discovery framework for hydrological systems,

Reference 23

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Observation 4cbd719f-0a95-4da6-a17e-117ac86d6cb4 · outbound

This paper cites Causal discovery with attention- based convolutional neural networks,.

Spatio-temporal Causal Learning for Streamflow Forecasting Causal discovery with attention- based convolutional neural networks,

Reference 24

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Observation 94e91bfa-c587-48b0-8810-aa2dc24aa8cb · outbound

This paper cites Streams: Towards spatio-temporal causal discovery with reinforcement learning for streamflow rate prediction,.

Spatio-temporal Causal Learning for Streamflow Forecasting Streams: Towards spatio-temporal causal discovery with reinforcement learning for streamflow rate prediction,

Reference 25

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Observation 07df323f-9284-4060-810d-d9cd946c37bf · outbound

This paper cites Toward causal inference for spatio-temporal data: Conflict and forest loss in colombia,.

Spatio-temporal Causal Learning for Streamflow Forecasting Toward causal inference for spatio-temporal data: Conflict and forest loss in colombia,

Reference 26

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Observation e62637e5-983b-46d5-8c53-9e33bf438336 · outbound

This paper cites Space: The spatial confounding environment,.

Spatio-temporal Causal Learning for Streamflow Forecasting Space: The spatial confounding environment,

Reference 27

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Observation 17841c2e-0bff-4cb9-a9b1-e13d5a21bf82 · outbound

This paper cites Auto-encoding variational bayes,.

Spatio-temporal Causal Learning for Streamflow Forecasting Auto-encoding variational bayes,

Reference 28

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Observation 37e838fe-555a-4b36-9726-def609227ff3 · outbound

This paper cites Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks,.

Spatio-temporal Causal Learning for Streamflow Forecasting Cluster-gcn: An efficient algorithm for training deep and large graph convolutional networks,

Reference 29

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This paper cites A long-term hydrologically based dataset of land surface fluxes and states for the conterminous united states: Update and extensions,.

Spatio-temporal Causal Learning for Streamflow Forecasting A long-term hydrologically based dataset of land surface fluxes and states for the conterminous united states: Update and extensions,

Reference 30

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Observation c44af373-09e5-4533-b923-8229795b72b8 · outbound

This paper cites Similarity of Neural Network Models: A Survey of Functional and Representational Measures.

Spatio-temporal Causal Learning for Streamflow Forecasting Similarity of Neural Network Models: A Survey of Functional and Representational Measures

Reference 31

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Observation 80f8b121-43f4-4446-b7fb-7e867361d858 · outbound

This paper cites Hybrid machine learning framework for hydrological assessment,.

Spatio-temporal Causal Learning for Streamflow Forecasting Hybrid machine learning framework for hydrological assessment,

Reference 32

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Observation 1053fefb-84df-481e-9210-b06722cc1030 · outbound

This paper cites River flow forecasting through conceptual models part i—a discussion of principles,.

Spatio-temporal Causal Learning for Streamflow Forecasting River flow forecasting through conceptual models part i—a discussion of principles,

Reference 33

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This paper cites On typical range, sensitivity, and normaliza- tion of mean squared error and nash-sutcliffe efficiency type metrics,.

Spatio-temporal Causal Learning for Streamflow Forecasting On typical range, sensitivity, and normaliza- tion of mean squared error and nash-sutcliffe efficiency type metrics,

Reference 34

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Observation 38bf3dca-f51b-4fe4-be59-2709b1bf00be · outbound

This paper cites Do nash values have value? discus- sion and alternate proposals,.

Spatio-temporal Causal Learning for Streamflow Forecasting Do nash values have value? discus- sion and alternate proposals,

Reference 35

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Observation b24a85b2-8b55-47b5-9be1-05dc33999242 · outbound

This paper cites Gradient-based learning applied to document recognition,.

Spatio-temporal Causal Learning for Streamflow Forecasting Gradient-based learning applied to document recognition,

Reference 36

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Observation 54c26c2a-4630-4321-a78f-685f0e269c9f · outbound

This paper cites Con- necting the dots: Multivariate time series forecasting with graph neural networks,.

Spatio-temporal Causal Learning for Streamflow Forecasting Con- necting the dots: Multivariate time series forecasting with graph neural networks,

Reference 37

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Spatio-temporal Causal Learning for Streamflow Forecasting Auto-Encoding Variational Bayes

Reference 2022

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Observation b127dc37-d5af-4377-8b3e-0f1d71770b09 · outbound

This paper cites Available: https://doi-org.ezproxy1.lib.asu.edu/10.1609/ aaai.v37i4.25542.

Spatio-temporal Causal Learning for Streamflow Forecasting Available: https://doi-org.ezproxy1.lib.asu.edu/10.1609/ aaai.v37i4.25542

Reference 2023

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