Paper Citation Record · LEDGER

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting

As of 20 August 2026, this Paper Citation Record lists 32 of 32 outbound references and 0 inbound Pith citation observations for arXiv:2508.19389.

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

pith.paper-citation-record.v1
2508.19389 v1

Coverage vector

measured 32 of 32 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T15:53:00.203590Z

measured 32 of 32 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-20T06:33:59.587034+00:00

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

32 of 32 outbound references displayed

verified exact4
verified fuzzy19
unresolved9
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 1c04ccb6-b7dd-472c-89ba-8462c253c927 · outbound

This paper cites Road traffic forecasting: Recent advances and new challenges.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Road traffic forecasting: Recent advances and new challenges

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.618588Z

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 b9fc781c-5f6d-48d8-8b47-1ff8290155c6 · outbound

This paper cites A comparative study on traffic modeling techniques for predicting and simulating traffic behavior.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting A comparative study on traffic modeling techniques for predicting and simulating traffic behavior

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.608701Z

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 735ba95e-0718-461c-8fc8-d10c3aeb7160 · outbound

This paper cites Smith and Michael J.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Smith and Michael J

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.598891Z

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 e5e1ad4e-b590-4688-a19d-3c350101b779 · outbound

This paper cites Road traffic congestion in the developing world.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Road traffic congestion in the developing world

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.588819Z

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 d8ae1b10-6694-4976-8386-2e9c77e8b8d8 · outbound

This paper cites Shafik and Hesham A.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Shafik and Hesham A

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.578246Z

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 38c9c0fe-6717-4f68-a397-313cd1b03be7 · outbound

This paper cites On kinematic waves ii.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting On kinematic waves ii

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.567721Z

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 a9bfcf65-ef4a-4436-b062-1e37b505e9f2 · outbound

This paper cites second order.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting second order

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.556963Z

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 26c721d2-6294-4445-812b-6b078bd063ad · outbound

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

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Spatio-Temporal Graph Convolutional Networks: A Deep Learning Framework for Traffic Forecasting

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.124943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fc0ecff5-8db8-41f7-be0b-199a0f36132f · outbound

This paper cites Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Spatial temporal incidence dynamic graph neural networks for traffic flow forecasting

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.546682Z

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 55c12268-9aa3-4d65-b794-f977d745a99b · outbound

This paper cites Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Spatial-temporal graph attention networks: A deep learning approach for traffic forecasting

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.536714Z

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 77cce044-6ef5-4b36-bea9-9a1fe1857c80 · outbound

This paper cites Stgat: Spatial-temporal graph attention networks for traffic flow forecasting.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Stgat: Spatial-temporal graph attention networks for traffic flow forecasting

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.525894Z

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 8d9295bd-c927-4fe9-9b47-f80a10e683e7 · outbound

This paper cites Attention based spatiotemporal graph attention networks for traffic flow forecasting.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Attention based spatiotemporal graph attention networks for traffic flow forecasting

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.515419Z

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 611873ef-8ac3-4bd4-a844-4ae0d8d36cc3 · outbound

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

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.141776Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4e01fe9b-4cfc-48ce-a4d1-724b1ea390c4 · outbound

This paper cites Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Physics-informed deep learning for traffic state estimation: A hybrid paradigm informed by second-order traffic models

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.498248Z

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 cc5ba737-89ec-48ec-80da-24f093367bd4 · outbound

This paper cites Physics-informed neural networks (pinns)-based traffic state estimation: An application to traffic network.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Physics-informed neural networks (pinns)-based traffic state estimation: An application to traffic network

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.487199Z

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 585a662c-6d19-4349-b060-9196261fc816 · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.151329Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03a540a8-8ba4-44cf-aa82-ba008c92a1ba · outbound

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

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Fourier Neural Operator for Parametric Partial Differential Equations

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.154826Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8a534dcd-39e2-4daf-9637-58723bc31db8 · outbound

This paper cites ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting ON-Traffic: An Operator Learning Framework for Online Traffic Flow Estimation and Uncertainty Quantification from Lagrangian Sensors

Reference 18

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:00.374700Z

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 83c96760-4ed3-454f-b852-f5d38443dc44 · outbound

This paper cites Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Fourier neural operator for learning solutions to macroscopic traffic flow models: Application to the forward and inverse problems

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.476568Z

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 d27a73d3-42de-4bb2-bf86-42297f35c9c2 · outbound

This paper cites Variable-Input Deep Operator Networks.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Variable-Input Deep Operator Networks

Reference 20

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:00.361168Z

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 a1c54b74-4712-4504-8586-221159bb94c5 · outbound

This paper cites Finite basis physics-informed neural networks (fbpinns): a scalable domain decomposition approach for solving differential equations.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Finite basis physics-informed neural networks (fbpinns): a scalable domain decomposition approach for solving differential equations

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.465814Z

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 8bcb7ba7-8997-450e-ac83-51c8f3afc8c7 · outbound

This paper cites An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting An advanced physics-informed neural operator for comprehensive design optimization of highly-nonlinear systems: An aerospace composites processing case study

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.455726Z

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 0f6068cd-ff9a-4d3e-96b7-da12b4eb8c85 · outbound

This paper cites Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Integrating Neural Operators with Diffusion Models Improves Spectral Representation in Turbulence Modeling

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.174651Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 03f9c405-1dd7-4f4b-9008-7aac24952776 · outbound

This paper cites Integrating fourier neural operators with diffusion models to improve spectral representation of synthetic earthquake ground motion response.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Integrating fourier neural operators with diffusion models to improve spectral representation of synthetic earthquake ground motion response

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.178056Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2ce849e5-0417-46c4-9cdc-11900dc654d1 · outbound

This paper cites Physics field super-resolution reconstruction via enhanced diffusion model and fourier neural operator.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Physics field super-resolution reconstruction via enhanced diffusion model and fourier neural operator

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.445395Z

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 a5573e64-9144-4e7a-aac9-247a06faa454 · outbound

This paper cites Pde-refiner: Achieving accurate long rollouts with neural pde solvers.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Pde-refiner: Achieving accurate long rollouts with neural pde solvers

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.184208Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 39547171-e877-41de-ba70-7f16e93f9b67 · outbound

This paper cites Aroma: Preserving spatial structure for latent pde modeling with local neural fields.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Aroma: Preserving spatial structure for latent pde modeling with local neural fields

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.428793Z

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 ec831649-d697-48e9-bf8c-d2b95256b817 · outbound

This paper cites Gnot: A general neural operator transformer for operator learning.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Gnot: A general neural operator transformer for operator learning

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-05T15:53:00.418208Z

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 f4c66dd6-d217-44af-ae3e-4e882b86d6ba · outbound

This paper cites GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting GITO: Graph-Informed Transformer Operator for Learning Complex Partial Differential Equations

Reference 29

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:00.264879Z

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 10c2d905-78b4-45b5-8962-1e75e5d042f3 · outbound

This paper cites Denoising Diffusion Implicit Models.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Denoising Diffusion Implicit Models

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.197168Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4da6eb6b-3ac6-4d3c-a04b-4aba58393b27 · outbound

This paper cites A Godunov type scheme for a class of LWR traffic flow models with non-local flux.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting A Godunov type scheme for a class of LWR traffic flow models with non-local flux

Reference 31

Resolution: verified exact; local_arxiv, observed 2026-08-05T15:53:00.239833Z

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 6579ab85-ba57-4e2a-8849-959d5d86fc8c · outbound

This paper cites Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity.

DETNO: A Diffusion-Enhanced Transformer Neural Operator for Long-Term Traffic Forecasting Switch transformers: Scaling to trillion parameter models with simple and efficient sparsity

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-05T15:53:00.203590Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.