Paper Citation Record · LEDGER

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting

As of 18 August 2026, this Paper Citation Record lists 27 of 27 outbound references and 1 inbound Pith citation observation for arXiv:2507.15614.

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

pith.paper-citation-record.v1
2507.15614 v1

Coverage vector

measured 27 of 27 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T15:32:01.313021Z

measured 28 of 28 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-06-28T02:49:47.947848Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-02T11:46:56.248231Z

Reference resolution

27 of 27 outbound references displayed

verified exact1
verified fuzzy20
unresolved6
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation bcaa0080-bd02-4bf1-95b1-73df6cee90cf · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations,

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:59.671402Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7367e652-b6bf-4d10-a0a3-9462296a495c · outbound

This paper cites Fourier neural operator for parametric partial differential equations,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Fourier neural operator for parametric partial differential equations,

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:04.305836Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 85bdbd3a-029b-49db-b563-9dae0998d8e8 · outbound

This paper cites Fourier Neural Operator with Learned Deformations for PDEs on General Geometries.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Fourier Neural Operator with Learned Deformations for PDEs on General Geometries

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-06T15:31:59.723616Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bdd54c60-b57c-475d-90ce-25c27f18ce49 · outbound

This paper cites On the spectral bias of neural networks,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting On the spectral bias of neural networks,

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:04.154207Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 08abce2e-ffc4-4690-be81-d324342d7008 · outbound

This paper cites Deep residual learning for image recognition,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Deep residual learning for image recognition,

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:04.024047Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a3c33c0b-0734-4846-9eb3-911c412a8d47 · outbound

This paper cites Physics-Informed Neural Network Surrogate Models for River Stage Prediction.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Physics-Informed Neural Network Surrogate Models for River Stage Prediction

Reference 6

Resolution: verified exact; local_arxiv, observed 2026-08-06T15:32:01.488382Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bb4322b2-f201-4fb6-b54a-a57a45c886c6 · outbound

This paper cites Chanson, Hydraulics of Open Channel Flow.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Chanson, Hydraulics of Open Channel Flow

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.891919Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation e23ee37e-586f-4c5f-a23b-4b0d614c454c · outbound

This paper cites HEC-RAS river analysis system, hydraulic reference manual,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting HEC-RAS river analysis system, hydraulic reference manual,

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.743142Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation ab483f13-bd88-4504-8e54-8a83356bad5e · outbound

This paper cites A survey of projection-based model reduction methods for parametric dynamical systems,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting A survey of projection-based model reduction methods for parametric dynamical systems,

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.573152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 1180ffaa-719f-4e80-bca2-b706fb3e6dbb · outbound

This paper cites Data-driven surrogate modeling in com- putational fluid dynamics: A review,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Data-driven surrogate modeling in com- putational fluid dynamics: A review,

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.429871Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation a1bf689a-9bb8-4985-95af-6df2d753326a · outbound

This paper cites Challenges of using surrogate models for environmental simulations: A case study in hydrology,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Challenges of using surrogate models for environmental simulations: A case study in hydrology,

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.303626Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 64475766-a625-4ee5-a9b6-80e2a3b07ed3 · outbound

This paper cites Hydraulic splines: A hybrid approach to modeling river channel geometries,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Hydraulic splines: A hybrid approach to modeling river channel geometries,

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:03.115841Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 55b17ef4-3fa6-430e-830c-9efe3e73e6a5 · outbound

This paper cites PointNet: Deep learning on point sets for 3D classification and segmentation,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting PointNet: Deep learning on point sets for 3D classification and segmentation,

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.948395Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6935bc4a-3148-47c8-95e4-045af0b9339a · outbound

This paper cites Abdelguerfi, 3D Synthetic Environment Reconstruction.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Abdelguerfi, 3D Synthetic Environment Reconstruction

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.844018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 31df06fe-f995-4452-ad23-0f892f9b4960 · outbound

This paper cites The geospatial information distribution system (GIDS),.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting The geospatial information distribution system (GIDS),

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.708320Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation fac010e2-ced3-4240-b806-e42b616e7e9d · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:00.481179Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation bfaad541-bfe5-42f3-b0ac-a957d10fcc5a · outbound

This paper cites Learning phrase representations using RNN Encoder–Decoder for statistical machine translation,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Learning phrase representations using RNN Encoder–Decoder for statistical machine translation,

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.567668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 6fb2f39b-f42a-433c-aedb-3a067d1122f7 · outbound

This paper cites Message passing neural PDE solvers,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Message passing neural PDE solvers,

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.506120Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation bfeb6dd1-aa9c-4153-bd1a-fbc3d6b6319d · outbound

This paper cites FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting FourCastNet: A Global Data-driven High-resolution Weather Model using Adaptive Fourier Neural Operators

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:00.830106Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06182138-fd09-46a5-8d29-6018086fef32 · outbound

This paper cites an unresolved cited work.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Unresolved cited work

Reference 20

Resolution: unresolved; raw_fallback, observed 2026-08-06T15:32:02.357939Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation f45ddb46-2d34-4014-be27-caa79b93bc71 · outbound

This paper cites Scheduled sampling for sequence prediction with recurrent neural networks,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Scheduled sampling for sequence prediction with recurrent neural networks,

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.227729Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 90942721-1728-4fdb-956c-0bac2ce4054a · outbound

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

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Toward improved predictions in ungauged basins: Exploiting the power of machine learning,

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:02.143544Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8d37613f-5cfc-4f39-af60-221cc44916ef · outbound

This paper cites FloodFNO: Fourier neural operators for real-time inundation mapping,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting FloodFNO: Fourier neural operators for real-time inundation mapping,

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:01.986139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 8831670f-7436-457a-862b-d55f2b535d0f · outbound

This paper cites Physics- informed neural network surrogate models for river stage prediction,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Physics- informed neural network surrogate models for river stage prediction,

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:01.873746Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 987e15bf-3335-466a-a898-2cdc44592d94 · outbound

This paper cites Geographical data interchange using XML-enabled technology within the GIDB system,.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Geographical data interchange using XML-enabled technology within the GIDB system,

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:01.741373Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 75e7e2a2-e4cc-4c4d-aaf5-b487b6387ff1 · outbound

This paper cites Abdelguerfi (ed.), 3D Synthetic Environment Reconstruction.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Abdelguerfi (ed.), 3D Synthetic Environment Reconstruction

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T15:32:01.590824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

Observation 4568c883-f065-4dfe-b8a4-7abbfe5dca7d · outbound

This paper cites Message Passing Neural PDE Solvers.

Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting Message Passing Neural PDE Solvers

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-06T15:32:00.745859Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

Observation 534cb564-2d5e-49c1-8182-d6ae24ac1b24 · inbound

Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction cites this paper.

Learned Response-Field Inertia Operator for HEC-RAS 2D Water-Surface Elevation Prediction Accelerating HEC-RAS: A Recurrent Neural Operator for Rapid River Forecasting

Reference 40

Resolution: verified exact; arxiv_id, observed 2026-07-02T11:46:56.249853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.