Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:20:15.972566Z
Paper Citation Record · LEDGER
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.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-05T11:20:15.972566Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-10T06:31:04.303077+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:55:17.881426Z
A source-named dated measurement, never combined with another source.
Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z
60 of 60 outbound references displayed
External citation measurements
0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z
Observation b3f06e48-e0b1-447a-bb02-5e017f622922 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Ballard, Joshua Bambrick, Sebastian W
Reference 1
Source-reported events for the cited work
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Observation d3e522bf-75f4-48ff-8c27-c0825dee59ad · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Building normalizing flows with stochastic interpolants
Reference 2
Source-reported events for the cited work
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Observation 468505f5-7a8a-4da5-b96b-49319078dd70 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Stochastic Interpolants: A Unifying Framework for Flows and Diffusions
Reference 3
Source-reported events for the cited work
Unavailable: canonical work link unavailable.
Observation 223ae430-d006-445f-bc91-8b1ec0aa67f6 · outbound
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
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.
Observation 01f19264-03fc-4c88-a439-980b27cd16bc · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Gaussian Measures
Reference 5
Source-reported events for the cited work
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Observation 03dcac5e-5258-4167-807d-0149c8845e6d · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data $\infty$-Diff: Infinite Resolution Diffusion with Subsampled Mollified States
Reference 6
Source-reported events for the cited work
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Observation fc234f59-0151-426c-9e58-2c499bd1bcdd · outbound
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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Observation cd9a3212-5dd2-44e9-a22c-20be2eccd7b2 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data New affine invariant ensemble samplers and their dimensional scaling
Reference 8
Source-reported events for the cited work
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Observation 444cb531-9269-4823-b6d1-d234e8d518f7 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Probabilistic forecasting with stochastic interpolants and F¨ ollmer processes
Reference 9
Source-reported events for the cited work
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Observation c58355a8-8258-45c6-884f-07ba3e965852 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Lipschitz-Guided Design of Interpolation Schedules in Generative Models
Reference 10
Source-reported events for the cited work
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Observation aba241bc-dc1d-4251-a55a-df1c945cbc4c · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalization group flow as optimal transport
Reference 11
Source-reported events for the cited work
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Observation 93dcbe4e-aa37-4d68-9d79-83ed5b32b13e · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalizing Diffusion Models
Reference 12
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Observation 57560299-b241-45bd-a2b9-694fc58fae34 · outbound
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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Observation c571fe3e-fddf-4748-83a6-325195cc7e9f · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative diffusion models in infinite dimensions: A survey
Reference 14
Source-reported events for the cited work
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Observation 221bd711-cec9-4c61-b643-131a655d352b · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Gaussian Interpolation Flows
Reference 15
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Observation d94d1a12-609b-4e2d-893b-870c6af55df3 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet score-based generative modeling
Reference 16
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Observation 860e12ab-1a47-4c06-b46f-05ad2c038140 · outbound
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
Source-reported events for the cited work
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Observation 2455fabb-8bca-46ce-b828-0e88a28fc67b · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Mimicking the one-dimensional marginal distributions of processes having an Itˆ o differential
Reference 18
Source-reported events for the cited work
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Observation fe0ee63f-24dd-4a5c-8ddb-77851debbfd9 · outbound
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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Observation 91fb8b40-5cad-4a4a-8663-7dd9c1d416d8 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data An Introduction to Stochastic PDEs
Reference 20
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Observation 88a09e7e-ba00-48c1-a76f-b7e16e423a08 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Ergodicity of the 2D Navier-Stokes equations with de- generate stochastic forcing
Reference 21
Source-reported events for the cited work
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Observation fe2945bf-d78c-4672-8f7e-0d3cd2dc2c8a · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Denoising diffusion probabilistic models
Reference 22
Source-reported events for the cited work
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Observation 670dd028-3b61-4822-a2bc-e3128d0fadca · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Cascaded diffusion models for high fidelity image generation
Reference 23
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Observation a7239644-c0e5-422b-ab19-defffc9b3789 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Video diffusion models
Reference 24
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Observation fccf069d-382d-4794-a7c3-ae3569866b19 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Blurring diffusion models
Reference 25
Source-reported events for the cited work
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Observation c27f294f-a150-49e3-a482-edb233d9c922 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Subspace diffusion gener- ative models
Reference 26
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Observation 342e8a78-c4eb-4f66-bc3e-fc8855792302 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Gotta Go Fast When Generating Data with Score-Based Models
Reference 27
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Observation 1a8b1f1c-fa3a-460a-9c0f-ebddb26f8db9 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Elucidating the design space of diffusion- based generative models
Reference 28
Source-reported events for the cited work
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Observation 574da96f-b329-4b04-a7e3-52dbc7812f3a · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Diffusion generative models in infinite dimen- sions
Reference 29
Source-reported events for the cited work
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Observation 8a93963c-65d4-461d-ab15-a66e6aed4061 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Functional Flow Matching
Reference 30
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Observation 0c2f5f53-1eb1-4176-8a74-184a61986165 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Learning skillful medium-range global weather forecasting
Reference 31
Source-reported events for the cited work
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Observation e78d9994-d66d-4ee1-b7c0-5c864893a9a6 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Hierarchic flows to estimate and sample high-dimensional probabilities
Reference 32
Source-reported events for the cited work
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Observation 0a00c45c-5b59-46c4-b6aa-2ec7504dfaae · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Fourier Neural Operator for Parametric Partial Differential Equations
Reference 33
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Observation e9b185c8-f2e8-451a-a556-74d53e669ff6 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Score-based Diffusion Models in Function Space
Reference 34
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Observation c9b56fa2-7b8b-428d-940e-9a150826d321 · outbound
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
Source-reported events for the cited work
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Observation 291a19ff-e69b-4698-8ef5-36401667c36d · outbound
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
Scale-Adaptive Generative Flows for Multiscale Scientific Data Flow straight and fast: Learning to generate and transfer data with rectified flow
Reference 37
Source-reported events for the cited work
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Observation 79ef0377-66ab-4e1e-ba9f-278a10eb7da9 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Learning nonlinear operators via DeepONet based on the universal approximation theorem of operators
Reference 38
Source-reported events for the cited work
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Observation f7438716-a556-429c-b924-8474f0d62de7 · outbound
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
Scale-Adaptive Generative Flows for Multiscale Scientific Data Improved denoising diffusion probabilistic models
Reference 40
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Observation 6f1999c2-78e3-480d-a964-4f218fce628b · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Spectral Diffusion Processes
Reference 41
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Observation fca2acdb-e9c8-4def-9e0f-27a16a13f20a · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet diffusion models are fast and scalable image gener- ators
Reference 42
Source-reported events for the cited work
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Observation 44163cd4-9ff8-40b4-9a00-4635a17d325b · outbound
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
Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative modelling with inverse heat dissi- pation
Reference 44
Source-reported events for the cited work
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Observation cca6b012-a3de-4137-b7d8-d337e5d68675 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Image super-resolution via iterative refinement
Reference 45
Source-reported events for the cited work
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Observation 1b487298-3bef-493b-8c9c-02314d751f2e · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Noise Estimation for Generative Diffusion Models
Reference 46
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Observation b71fbdd5-0a23-4096-9a2b-d631810e92ad · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Blundell, Pietro Lio, Max Welling, Michael Bronstein, and Bruno Correia
Reference 47
Source-reported events for the cited work
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Observation 2826fa8f-175d-46cc-a2f2-aac3f2e820dc · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Bespoke solvers for generative flow models
Reference 48
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Observation 9a801b08-ff0e-4946-bb65-db484982b899 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Renormalization Group flow, Optimal Transport and Diffusion-based Generative Model
Reference 49
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Observation 49c291d7-8c7b-4e9e-8899-6a24c836baf9 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Deep unsu- pervised learning using nonequilibrium thermodynamics
Reference 50
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Observation 17a4e993-ac24-453e-a177-2010e28a2f88 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Generative modeling by estimating gradients of the data distribu- tion
Reference 51
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Observation 6a0d7c52-8263-4bde-adcf-166895170c71 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Improved techniques for training score-based generative models
Reference 52
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Observation a3009ac4-21ca-48ff-a39a-4521486fcd19 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Score-Based Generative Modeling through Stochastic Differential Equations
Reference 53
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Observation d83c2acd-1040-4f5c-b0ea-c02077ae8066 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Interpolation of Spatial Data: Some Theory for Kriging
Reference 54
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Observation f037d154-aa19-4943-8f9f-1f4075b5e18e · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Inverse problems: A Bayesian perspective
Reference 55
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Observation 65fa7ad9-742c-4d40-b3d5-ad49c8fc4ee4 · outbound
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
Scale-Adaptive Generative Flows for Multiscale Scientific Data On stationary processes in the plane
Reference 57
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Observation 7c24b6e8-3181-495c-80cb-09a79da77561 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Diffusion models: A comprehensive survey of methods and appli- cations
Reference 58
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Observation 56dd2d97-6fd3-4058-ac63-8dc710a5f26c · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data Wavelet flow: Fast training of high resolution normalizing flows
Reference 59
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Observation d0b10b61-8f32-45af-9135-dbe8613060c2 · outbound
Scale-Adaptive Generative Flows for Multiscale Scientific Data A generative model for inorganic materials design
Reference 60
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Observation e61a48f6-6392-4f87-a23c-0fc13bbd58b7 · inbound
Telegrapher's Generative Model via Kac Flows Scale-Adaptive Generative Flows for Multiscale Scientific Data
Reference 10
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Observation 70e11ec5-8e7b-4aa4-b49d-1e240be5c3cc · inbound
Variational Optimality of F\"ollmer Processes in Generative Diffusions Scale-Adaptive Generative Flows for Multiscale Scientific Data
Reference 8
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Observation 77943111-e767-41ce-bd92-d86ad5164619 · inbound
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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Observation cfad21b5-f718-48d8-b73f-03bc865134b9 · inbound
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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Observation 4607ea8d-02c2-45cc-a1a2-7cb98a7367fe · inbound
The critical slowing down in diffusion models Scale-Adaptive Generative Flows for Multiscale Scientific Data
Reference 32
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Observation 3edcf140-c80e-428a-8c98-7439ac611714 · inbound
The critical slowing down in diffusion models Scale-Adaptive Generative Flows for Multiscale Scientific Data
Reference 39
Source-reported events for the cited work
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Observation ce871fb8-7156-4b8e-94c2-5af0374c1887 · inbound
Discretization and Statistical Consistency of Functional Flow Matching Scale-Adaptive Generative Flows for Multiscale Scientific Data
Reference 7
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