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Paper Citation Record · LEDGER

Scale-Adaptive Generative Flows for Multiscale Scientific Data

As of 10 August 2026, this Paper Citation Record lists 60 of 60 outbound references and 7 inbound Pith citation observations for arXiv:2509.02971.

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

pith.paper-citation-record.v1
2509.02971 v2

Coverage vector

measured 60 of 60 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-05T11:20:15.972566Z

measured 67 of 67 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00

measured 7 of 7 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:17.881426Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

60 of 60 outbound references displayed

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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation b3f06e48-e0b1-447a-bb02-5e017f622922 · outbound

This paper cites Ballard, Joshua Bambrick, Sebastian W.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Ballard, Joshua Bambrick, Sebastian W

Reference 1

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation d3e522bf-75f4-48ff-8c27-c0825dee59ad · outbound

This paper cites Building normalizing flows with stochastic interpolants.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Building normalizing flows with stochastic interpolants

Reference 2

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 468505f5-7a8a-4da5-b96b-49319078dd70 · outbound

This paper cites Stochastic Interpolants: A Unifying Framework for Flows and Diffusions.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 3

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no resolver link, observed 2026-08-05T11:20:15.765737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 223ae430-d006-445f-bc91-8b1ec0aa67f6 · outbound

This paper cites Condi- tional score-based diffusion models for bayesian inference in infinite dimensions.Advances in Neural Information Processing Systems, 36, 2024.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Condi- tional score-based diffusion models for bayesian inference in infinite dimensions.Advances in Neural Information Processing Systems, 36, 2024

Reference 4

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 01f19264-03fc-4c88-a439-980b27cd16bc · outbound

This paper cites Gaussian Measures.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Gaussian Measures

Reference 5

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 03dcac5e-5258-4167-807d-0149c8845e6d · outbound

This paper cites $\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States.

Scale-Adaptive Generative Flows for Multiscale Scientific Data $\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States

Reference 6

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verified exact
local_arxiv, observed 2026-08-05T11:20:16.738281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fc234f59-0151-426c-9e58-2c499bd1bcdd · outbound

This paper cites Sampling is as easy as learning the score: Theory for diffusion models with minimal data assumptions.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Sampling is as easy as learning the score: Theory for diffusion models with minimal data assumptions

Reference 7

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cd9a3212-5dd2-44e9-a22c-20be2eccd7b2 · outbound

This paper cites New affine invariant ensemble samplers and their dimensional scaling.

Scale-Adaptive Generative Flows for Multiscale Scientific Data New affine invariant ensemble samplers and their dimensional scaling

Reference 8

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 444cb531-9269-4823-b6d1-d234e8d518f7 · outbound

This paper cites Probabilistic forecasting with stochastic interpolants and F¨ ollmer processes.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Probabilistic forecasting with stochastic interpolants and F¨ ollmer processes

Reference 9

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c58355a8-8258-45c6-884f-07ba3e965852 · outbound

This paper cites Lipschitz-Guided Design of Interpolation Schedules in Generative Models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Lipschitz-Guided Design of Interpolation Schedules in Generative Models

Reference 10

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Source-reported events for the cited work

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Observation aba241bc-dc1d-4251-a55a-df1c945cbc4c · outbound

This paper cites Renormalization group flow as optimal transport.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalization group flow as optimal transport

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 93dcbe4e-aa37-4d68-9d79-83ed5b32b13e · outbound

This paper cites Renormalizing Diffusion Models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalizing Diffusion Models

Reference 12

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Source-reported events for the cited work

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Observation 57560299-b241-45bd-a2b9-694fc58fae34 · outbound

This paper cites Diffusion models beat GANs on image synthesis.Advances in Neural Information Processing Systems , 34:8780–8794, 2021.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Diffusion models beat GANs on image synthesis.Advances in Neural Information Processing Systems , 34:8780–8794, 2021

Reference 13

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c571fe3e-fddf-4748-83a6-325195cc7e9f · outbound

This paper cites Generative diffusion models in infinite dimensions: A survey.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative diffusion models in infinite dimensions: A survey

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 221bd711-cec9-4c61-b643-131a655d352b · outbound

This paper cites Gaussian Interpolation Flows.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Gaussian Interpolation Flows

Reference 15

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Source-reported events for the cited work

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Observation d94d1a12-609b-4e2d-893b-870c6af55df3 · outbound

This paper cites Wavelet score-based generative modeling.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet score-based generative modeling

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.813641Z digest=sha256:351c8eb9988141755c5dc4e816837bbb5a4ba8f4aa6dd611355db811cddc63b3

Observation 860e12ab-1a47-4c06-b46f-05ad2c038140 · outbound

This paper cites Studies in the history of probability and statistics XLIX on the Mat´ ern correlation family.Biometrika, 93(4):989–995, 2006.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Studies in the history of probability and statistics XLIX on the Mat´ ern correlation family.Biometrika, 93(4):989–995, 2006

Reference 17

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 2455fabb-8bca-46ce-b828-0e88a28fc67b · outbound

This paper cites Mimicking the one-dimensional marginal distributions of processes having an Itˆ o differential.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Mimicking the one-dimensional marginal distributions of processes having an Itˆ o differential

Reference 18

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fe0ee63f-24dd-4a5c-8ddb-77851debbfd9 · outbound

This paper cites Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Multilevel Diffusion: Infinite Dimensional Score-Based Diffusion Models for Image Generation

Reference 19

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Source-reported events for the cited work

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Observation 91fb8b40-5cad-4a4a-8663-7dd9c1d416d8 · outbound

This paper cites An Introduction to Stochastic PDEs.

Scale-Adaptive Generative Flows for Multiscale Scientific Data An Introduction to Stochastic PDEs

Reference 20

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source=pdf_text observed=2026-08-05T11:20:15.826087Z digest=sha256:4445ccced4bcb50a22d99eddfd5a84b43b0fa9ebdd6cac13573a15b944de17d6

Observation 88a09e7e-ba00-48c1-a76f-b7e16e423a08 · outbound

This paper cites Ergodicity of the 2D Navier-Stokes equations with de- generate stochastic forcing.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Ergodicity of the 2D Navier-Stokes equations with de- generate stochastic forcing

Reference 21

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation fe2945bf-d78c-4672-8f7e-0d3cd2dc2c8a · outbound

This paper cites Denoising diffusion probabilistic models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Denoising diffusion probabilistic models

Reference 22

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 670dd028-3b61-4822-a2bc-e3128d0fadca · outbound

This paper cites Cascaded diffusion models for high fidelity image generation.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Cascaded diffusion models for high fidelity image generation

Reference 23

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Source-reported events for the cited work

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Observation a7239644-c0e5-422b-ab19-defffc9b3789 · outbound

This paper cites Video diffusion models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Video diffusion models

Reference 24

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Source-reported events for the cited work

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Observation fccf069d-382d-4794-a7c3-ae3569866b19 · outbound

This paper cites Blurring diffusion models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Blurring diffusion models

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation c27f294f-a150-49e3-a482-edb233d9c922 · outbound

This paper cites Subspace diffusion gener- ative models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Subspace diffusion gener- ative models

Reference 26

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no resolver link, observed 2026-08-05T11:20:15.845671Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 342e8a78-c4eb-4f66-bc3e-fc8855792302 · outbound

This paper cites Gotta Go Fast When Generating Data with Score-Based Models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Gotta Go Fast When Generating Data with Score-Based Models

Reference 27

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 1a8b1f1c-fa3a-460a-9c0f-ebddb26f8db9 · outbound

This paper cites Elucidating the design space of diffusion- based generative models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Elucidating the design space of diffusion- based generative models

Reference 28

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 574da96f-b329-4b04-a7e3-52dbc7812f3a · outbound

This paper cites Diffusion generative models in infinite dimen- sions.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Diffusion generative models in infinite dimen- sions

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 8a93963c-65d4-461d-ab15-a66e6aed4061 · outbound

This paper cites Functional Flow Matching.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Functional Flow Matching

Reference 30

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:20:15.859805Z digest=sha256:d0d2246cc0e66cf0eb774c2e9660610c64ed1fe85bf62344251642c064dbb3a3

Observation 0c2f5f53-1eb1-4176-8a74-184a61986165 · outbound

This paper cites Learning skillful medium-range global weather forecasting.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Learning skillful medium-range global weather forecasting

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation e78d9994-d66d-4ee1-b7c0-5c864893a9a6 · outbound

This paper cites Hierarchic flows to estimate and sample high-dimensional probabilities.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Hierarchic flows to estimate and sample high-dimensional probabilities

Reference 32

Resolution
verified exact
arxiv_id, observed 2026-08-05T11:20:16.448335Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.867955Z digest=sha256:5d41b467231a679adbcc44568891489ede59f1ec5fe047314cb479f625c48d7b

Observation 0a00c45c-5b59-46c4-b6aa-2ec7504dfaae · outbound

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

Scale-Adaptive Generative Flows for Multiscale Scientific Data Fourier Neural Operator for Parametric Partial Differential Equations

Reference 33

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:20:15.872237Z digest=sha256:aa1cb479b42e0a5431be8d603f66c4dd18245dd84079393f35f664734c21fb77

Observation e9b185c8-f2e8-451a-a556-74d53e669ff6 · outbound

This paper cites Score-based Diffusion Models in Function Space.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Score-based Diffusion Models in Function Space

Reference 34

Resolution
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no resolver link, observed 2026-08-05T11:20:15.876384Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T11:20:15.876384Z digest=sha256:e836807757b8a12bedeff97830d8618a808fed8f3c79cd0bd5d8bb0cbd3099a2

Observation c9b56fa2-7b8b-428d-940e-9a150826d321 · outbound

This paper cites An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach.

Scale-Adaptive Generative Flows for Multiscale Scientific Data An explicit link between Gaussian fields and Gaussian Markov random fields: The stochastic partial differential equation approach

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T11:20:16.921505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.880985Z digest=sha256:6aa9f3e988b8808eff47820a66c7f12437e8a3a04b492b9cc1e9388a8bb5707e

Observation 291a19ff-e69b-4698-8ef5-36401667c36d · outbound

This paper cites Flow match- ing for generative modeling.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Flow match- ing for generative modeling

Reference 36

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Observation d046ee0e-e99d-4630-b81a-bd4b8ea03d0a · outbound

This paper cites Flow straight and fast: Learning to generate and transfer data with rectified flow.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 37

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Observation 79ef0377-66ab-4e1e-ba9f-278a10eb7da9 · outbound

This paper cites Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators

Reference 38

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.892547Z digest=sha256:45859f1d577aa22f4297306cf7f7c7620a234190b3d0e10c5f9b89aa2d5dc3a1

Observation f7438716-a556-429c-b924-8474f0d62de7 · outbound

This paper cites Wavelet Conditional Renormalization Group.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet Conditional Renormalization Group

Reference 39

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Observation 087da2a4-a7b5-4adc-846e-5b496d7133f7 · outbound

This paper cites Improved denoising diffusion probabilistic models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Improved denoising diffusion probabilistic models

Reference 40

Resolution
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source=pdf_text observed=2026-08-05T11:20:15.899311Z digest=sha256:e8cfd9011e0848214a69dbbc2c0ac6500618aae728f394addd8da67a1f33c214

Observation 6f1999c2-78e3-480d-a964-4f218fce628b · outbound

This paper cites Spectral Diffusion Processes.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Spectral Diffusion Processes

Reference 41

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Observation fca2acdb-e9c8-4def-9e0f-27a16a13f20a · outbound

This paper cites Wavelet diffusion models are fast and scalable image gener- ators.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet diffusion models are fast and scalable image gener- ators

Reference 42

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.907201Z digest=sha256:4b447a9ee607019566c0b927388a0815d2fda0927d2e7e8d37a5f2ef01d59cee

Observation 44163cd4-9ff8-40b4-9a00-4635a17d325b · outbound

This paper cites Infinite-Dimensional Diffusion Models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Infinite-Dimensional Diffusion Models

Reference 43

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Observation b827f8e5-eee8-4be0-a822-2efff5a027cc · outbound

This paper cites Generative modelling with inverse heat dissi- pation.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative modelling with inverse heat dissi- pation

Reference 44

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.914274Z digest=sha256:0db541e606b59e2f9d59bc3bb5cffe47b60bddf8dfce71a2948d46d94133c536

Observation cca6b012-a3de-4137-b7d8-d337e5d68675 · outbound

This paper cites Image super-resolution via iterative refinement.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Image super-resolution via iterative refinement

Reference 45

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.917295Z digest=sha256:50f93f653ba9b9cca679f7b9eb0f45acde535ad9f12be68968d1b5eeb6c39d35

Observation 1b487298-3bef-493b-8c9c-02314d751f2e · outbound

This paper cites Noise Estimation for Generative Diffusion Models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Noise Estimation for Generative Diffusion Models

Reference 46

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source=pdf_text observed=2026-08-05T11:20:15.920329Z digest=sha256:c97b484332c3881da1f1bef324e7ce0e9bcf993219ab88180bbc7aeab1eb74be

Observation b71fbdd5-0a23-4096-9a2b-d631810e92ad · outbound

This paper cites Blundell, Pietro Lio, Max Welling, Michael Bronstein, and Bruno Correia.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Blundell, Pietro Lio, Max Welling, Michael Bronstein, and Bruno Correia

Reference 47

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.924107Z digest=sha256:d3c30cd176090b25789c09759bf224a0a75e4f81ab89cf71203a3c17a79f701f

Observation 2826fa8f-175d-46cc-a2f2-aac3f2e820dc · outbound

This paper cites Bespoke solvers for generative flow models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Bespoke solvers for generative flow models

Reference 48

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.928164Z digest=sha256:7004344a7e6257ff752b72a07921ed81c404b3eb9b52aace1903dcea23b5c7cf

Observation 9a801b08-ff0e-4946-bb65-db484982b899 · outbound

This paper cites Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model

Reference 49

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.932249Z digest=sha256:77a7ecc3347a570490a732647f25cf3564fdb0847e41a40ce9dbc7bd283c0234

Observation 49c291d7-8c7b-4e9e-8899-6a24c836baf9 · outbound

This paper cites Deep unsu- pervised learning using nonequilibrium thermodynamics.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Deep unsu- pervised learning using nonequilibrium thermodynamics

Reference 50

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.936151Z digest=sha256:1d4dec2896cf4402f71b247c1e32d8cf79f1bca1e8ca6aef0d8cbcb38df7856b

Observation 17a4e993-ac24-453e-a177-2010e28a2f88 · outbound

This paper cites Generative modeling by estimating gradients of the data distribu- tion.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative modeling by estimating gradients of the data distribu- tion

Reference 51

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.939639Z digest=sha256:4ed1e963d4ece4d773fbf6ef568ccd0b2dd9341b29388efbcf48cdd47824d48a

Observation 6a0d7c52-8263-4bde-adcf-166895170c71 · outbound

This paper cites Improved techniques for training score-based generative models.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Improved techniques for training score-based generative models

Reference 52

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.942846Z digest=sha256:055cc36ed96da6803e553805b9f2d2e11fe77cb3cff115ded2efce3fe9eed95d

Observation a3009ac4-21ca-48ff-a39a-4521486fcd19 · outbound

This paper cites Score-Based Generative Modeling through Stochastic Differential Equations.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Score-Based Generative Modeling through Stochastic Differential Equations

Reference 53

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source=pdf_text observed=2026-08-05T11:20:15.946134Z digest=sha256:dffb5adb69f51b29dd57e662b520a937ef2d1debcc63b5becaa05244730307a7

Observation d83c2acd-1040-4f5c-b0ea-c02077ae8066 · outbound

This paper cites Interpolation of Spatial Data: Some Theory for Kriging.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Interpolation of Spatial Data: Some Theory for Kriging

Reference 54

Resolution
verified fuzzy
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.950313Z digest=sha256:de7e4f3b0d9fa4c016c40d71f60e1cc038c8a440276f1298b5742967ce6b2a9e

Observation f037d154-aa19-4943-8f9f-1f4075b5e18e · outbound

This paper cites Inverse problems: A Bayesian perspective.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Inverse problems: A Bayesian perspective

Reference 55

Resolution
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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.954475Z digest=sha256:876b3cf916a4c9ebb2f8465d4bfefef0379e64e675cadb1e391a138e66e08d55

Observation 65fa7ad9-742c-4d40-b3d5-ad49c8fc4ee4 · outbound

This paper cites FunDiff: Diffusion models over function spaces for physics-informed generative modeling.

Scale-Adaptive Generative Flows for Multiscale Scientific Data FunDiff: Diffusion models over function spaces for physics-informed generative modeling

Reference 56

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Observation 8debae80-e5c7-46ca-8209-9b552caec537 · outbound

This paper cites On stationary processes in the plane.

Scale-Adaptive Generative Flows for Multiscale Scientific Data On stationary processes in the plane

Reference 57

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source=pdf_text observed=2026-08-05T11:20:15.961379Z digest=sha256:716d97ba1cc470c8748781d6b3f17eb9d9a102d5936eea7f3c38a86ade3ece04

Observation 7c24b6e8-3181-495c-80cb-09a79da77561 · outbound

This paper cites Diffusion models: A comprehensive survey of methods and appli- cations.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Diffusion models: A comprehensive survey of methods and appli- cations

Reference 58

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.964907Z digest=sha256:2dfc7ea73d46347120bcea768fdbbc389c129541af8448aad664dd77a6454e91

Observation 56dd2d97-6fd3-4058-ac63-8dc710a5f26c · outbound

This paper cites Wavelet flow: Fast training of high resolution normalizing flows.

Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet flow: Fast training of high resolution normalizing flows

Reference 59

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source=pdf_text observed=2026-08-05T11:20:15.968661Z digest=sha256:85178240649d7dc24e847bd25dc2ea03747c7002acc558775f5b98bf849616cd

Observation d0b10b61-8f32-45af-9135-dbe8613060c2 · outbound

This paper cites A generative model for inorganic materials design.

Scale-Adaptive Generative Flows for Multiscale Scientific Data A generative model for inorganic materials design

Reference 60

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-08-05T11:20:15.972566Z digest=sha256:4ba616ac8ebafcd0cbfa5bb183ccde61c6d6bfc227181fb515605454c8d19044

Pith citing papers

Observation e61a48f6-6392-4f87-a23c-0fc13bbd58b7 · inbound

Telegrapher's Generative Model via Kac Flows cites this paper.

Telegrapher's Generative Model via Kac Flows Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 10

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Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-06T22:55:17.881426Z digest=sha256:64a642ede1f82714cfb0738e078fd3c4e44f6a587a0ec7f9c887adff1984366a

Observation 70e11ec5-8e7b-4aa4-b49d-1e240be5c3cc · inbound

Variational Optimality of F\"ollmer Processes in Generative Diffusions cites this paper.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 8

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arxiv_id, observed 2026-06-05T02:16:19.300385Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation 77943111-e767-41ce-bd92-d86ad5164619 · inbound

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference cites this paper.

Relative Entropy Estimation in Function Space: Theory and Applications to Trajectory Inference Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 6

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arxiv_id, observed 2026-06-05T02:16:19.300385Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

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Observation cfad21b5-f718-48d8-b73f-03bc865134b9 · inbound

The finite expression method for turbulent dynamics with high-order moment recovery cites this paper.

The finite expression method for turbulent dynamics with high-order moment recovery Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 33

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arxiv_id, observed 2026-06-05T02:16:19.300385Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=arxiv_source observed=2026-05-12T05:37:49.651353Z digest=sha256:a863be09329c6127ec5adf91108ec2360016169a344d3e05ec837c8e7c654cf8

Observation 4607ea8d-02c2-45cc-a1a2-7cb98a7367fe · inbound

The critical slowing down in diffusion models cites this paper.

The critical slowing down in diffusion models Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 32

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arxiv_id, observed 2026-06-05T02:16:19.300385Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-14T20:30:55.216049Z digest=sha256:758cef807e828ba7d4684d0d00cbf723ec62c18ea324bb1cf1ae9cbc95e502ba

Observation 3edcf140-c80e-428a-8c98-7439ac611714 · inbound

The critical slowing down in diffusion models cites this paper.

The critical slowing down in diffusion models Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 39

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arxiv_id, observed 2026-06-05T02:16:19.300385Z

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No event found in the named queried sources as of 2026-08-10T06:31:04.303077+00:00.

source=pdf_text observed=2026-05-21T07:51:31.502330Z digest=sha256:9d420ba519a3ab3020e26b16489b6aa6e57a7f15b5e64a4bf35b35981e5288dd

Observation ce871fb8-7156-4b8e-94c2-5af0374c1887 · inbound

Discretization and Statistical Consistency of Functional Flow Matching cites this paper.

Discretization and Statistical Consistency of Functional Flow Matching Scale-Adaptive Generative Flows for Multiscale Scientific Data

Reference 7

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Unavailable: canonical work link unavailable.

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