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Paper Citation Record · LEDGER

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction

As of 8 August 2026, this Paper Citation Record lists 53 of 53 outbound references and 0 inbound Pith citation observations for arXiv:2509.02481.

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

pith.paper-citation-record.v1
2509.02481 v1

Coverage vector

measured 53 of 53 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:40:52.505990Z

measured 53 of 53 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

53 of 53 outbound references displayed

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  • verified fuzzy1
  • unresolved43
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2524813c-0c86-4e2f-8a5e-f1b24f55283e · outbound

This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 1

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Observation 6a9ff72b-b326-444f-8f9c-9d69179748ec · outbound

This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 2

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Observation ae902f81-cdda-4979-a255-a1ff433002c3 · outbound

This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 3

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This paper cites Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Empirical Evaluation of Gated Recurrent Neural Networks on Sequence Modeling

Reference 4

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Observation 51b69221-9ae7-463c-b6a3-d14ad77b31c1 · outbound

This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 5

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This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 6

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This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 7

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 8

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 9

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 10

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 11

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 12

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Observation 7868ee31-ca3a-40fc-bcd6-4c39e424749d · outbound

This paper cites Semi-Supervised Classification with Graph Convolutional Networks.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Semi-Supervised Classification with Graph Convolutional Networks

Reference 13

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 14

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Observation 7ad5b1fa-4859-4bf2-b410-d644de593c48 · outbound

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 15

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Observation f297a70a-1d62-40e7-9091-6cf5f4695c83 · outbound

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 16

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Observation 3e47443d-a340-4206-ab88-4b596f46896f · outbound

This paper cites Decoupled Weight Decay Regularization.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Decoupled Weight Decay Regularization

Reference 17

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction GraphiT: Encoding Graph Structure in Transformers

Reference 18

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 19

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Reference 20

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This paper cites Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Sequential Aggregation and Rematerialization: Distributed Full-batch Training of Graph Neural Networks on Large Graphs

Reference 21

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Reference 22

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Gated Graph Convolutional Recurrent Neural Networks

Reference 23

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Reference 24

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Observation 2eb48ae4-7bf2-4964-ad43-4dd0a47c0a03 · outbound

This paper cites Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Short-term Hourly Streamflow Prediction with Graph Convolutional GRU Networks

Reference 25

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This paper cites Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Probabilistic modeling of lake surface water temperature using a Bayesian spatio-temporal graph convolutional neural network

Reference 26

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Reference 27

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Reference 29

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Reference 30

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Reference 31

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Graph Attention Networks

Reference 32

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Reference 33

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 34

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Reference 35

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Reference 36

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Source-reported events for the cited work

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 37

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 38

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 39

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 40

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This paper cites High-resolution rainfall-runoff modeling using graph neural network.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction High-resolution rainfall-runoff modeling using graph neural network

Reference 41

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Reference 42

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Reference 43

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Reference 44

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 45

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This paper cites Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 46

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Source-reported events for the cited work

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Reference 47

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Observation d59cf509-daaf-461a-9930-abc622cef645 · outbound

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 48

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Source-reported events for the cited work

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

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 49

Resolution
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Source-reported events for the cited work

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Observation 04976f6c-ac32-4d7b-a5ba-ead56a18bd58 · outbound

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HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 50

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Source-reported events for the cited work

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

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Observation 7170b5c5-3aaa-469d-8b8b-34988adba53b · outbound

This paper cites Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Comprehensive Evaluation of GNN Training Systems: A Data Management Perspective

Reference 51

Resolution
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Source-reported events for the cited work

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

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Observation aac900ec-cb04-4d45-ae60-7fe684fa3c64 · outbound

This paper cites an unresolved cited work.

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction Unresolved cited work

Reference 53

Resolution
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Source-reported events for the cited work

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

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Observation 00cfe8c2-ecf3-47bc-a7bf-a1f260fd69e0 · outbound

This paper cites In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM).

HydroGAT: Distributed Heterogeneous Graph Attention Transformer for Spatiotemporal Flood Prediction In Proceedings of the 2021 SIAM International Conference on Data Mining (SDM)

Reference 2021

Resolution
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Source-reported events for the cited work

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

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Pith citing papers

No inbound Pith citation observations are available.