Paper Citation Record · LEDGER

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance

As of 3 August 2026, this Paper Citation Record lists 10 of 10 outbound references and 0 inbound Pith citation observations for arXiv:2601.11440.

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

pith.paper-citation-record.v1
2601.11440 v3

Coverage vector

measured 10 of 10 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-03T10:03:45.500408Z

measured 10 of 10 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-03T06:30:56.289259+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

10 of 10 outbound references displayed

verified exact0
verified fuzzy0
unresolved10
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 562e0ea5-1c3f-451f-89fd-14686e1269bf · outbound

This paper cites MoTIF: A Mode-Structured Tensor Framework for Multi-Parametric Approximation, Super-Resolution and Forecasting of Unsteady Systems.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance MoTIF: A Mode-Structured Tensor Framework for Multi-Parametric Approximation, Super-Resolution and Forecasting of Unsteady Systems

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:44.610737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f4899c5c-be69-4dbd-8d29-d7a622a6e6c0 · outbound

This paper cites Huanxiang Gao, Gang Hu, Dongqin Zhang, Wenjun Jiang, KT Tse, KCS Kwok, and Ahsan Kareem.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Huanxiang Gao, Gang Hu, Dongqin Zhang, Wenjun Jiang, KT Tse, KCS Kwok, and Ahsan Kareem

Reference 4

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:44.827943Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 850606fb-1a29-41cc-b81c-7a36257a66a6 · outbound

This paper cites Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Ensemble Kalman Filter for Data Assimilation coupled with low-resolution computations techniques applied in Fluid Dynamics

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:44.909217Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 06de3502-061b-48cb-b82c-6092dab62f40 · outbound

This paper cites Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Learning Turbulent Flows with Generative Models: Super-resolution, Forecasting, and Sparse Flow Reconstruction

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:45.002912Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a77602cc-a2c4-496a-b4bf-16cd14a83409 · outbound

This paper cites Original.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Original

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:45.380088Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a41ed0f1-6424-44cf-9e4c-ddf6ec94f18d · outbound

This paper cites [2022], simplified to two mesh levels: the original mesh (index o) and the reduced mesh (index r).

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance [2022], simplified to two mesh levels: the original mesh (index o) and the reduced mesh (index r)

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:45.500408Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation ab6fb772-ba06-483e-aab6-1432627a1ba1 · outbound

This paper cites Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Diff-SPORT: Diffusion-based Sensor Placement Optimization and Reconstruction of Turbulent flows in urban environments

Reference 2021

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:45.161353Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 44e76b51-7da1-414f-8f99-615a364ba1a5 · outbound

This paper cites MultiScale MeshGraphNets.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance MultiScale MeshGraphNets

Reference 2022

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:44.736497Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2a05b876-aaa8-4082-b98d-3ec7181bf21b · outbound

This paper cites William J Schroeder, Jonathan A Zarge, and William E Lorensen.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance William J Schroeder, Jonathan A Zarge, and William E Lorensen

Reference 2024

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:45.094630Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a6a09c42-f4d1-4b95-8c3f-3b9575c48b8d · outbound

This paper cites Guillermo Barragán, Ashton Hetherington, Arindam Sengupta, Rodrigo Abadía-Heredia, Jesús Garicano-Mena, and Soledad Le Clainche.

GenDA: Generative Data Assimilation on Complex Urban Areas via Classifier-Free Diffusion Guidance Guillermo Barragán, Ashton Hetherington, Arindam Sengupta, Rodrigo Abadía-Heredia, Jesús Garicano-Mena, and Soledad Le Clainche

Reference 2025

Resolution: unresolved; no resolver link, observed 2026-08-03T10:03:44.528311Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

No inbound Pith citation observations are available.