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Paper Citation Record · LEDGER

Variational Optimality of F\"ollmer Processes in Generative Diffusions

As of 10 August 2026, this Paper Citation Record lists 48 of 48 outbound references and 1 inbound Pith citation observation for arXiv:2602.10989.

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

pith.paper-citation-record.v1
2602.10989 v3

Coverage vector

measured 48 of 48 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-05-21T13:29:26.226630Z

measured 49 of 49 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 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-05-20T00:41:30.640984Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-05-20T00:42:54.623737Z

Reference resolution

48 of 48 outbound references displayed

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External citation measurements

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Outbound references

Observation 8f9c6258-ff09-41cc-bd89-cacee26b8f99 · outbound

This paper cites Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209):1–80.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Stochastic interpolants: A unifying framework for flows and diffusions.Journal of Machine Learning Research, 26(209):1–80

Reference 1

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Observation 8a110a00-e1de-44d5-96a5-7b7ef3722d72 · outbound

This paper cites Building normalizing flows with stochastic interpolants.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Building normalizing flows with stochastic interpolants

Reference 2

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Observation bc639f24-56f8-4cd7-9de1-1bcd5eb5bf4a · outbound

This paper cites Reverse-time diffusion equation models.Stochastic Processes and their Appli- cations, 12(3):313–326.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Reverse-time diffusion equation models.Stochastic Processes and their Appli- cations, 12(3):313–326

Reference 3

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Observation 47e615e8-eb59-4479-885b-c6199c5be438 · outbound

This paper cites Time reversal of diffusion processes under a finite entropy condition.Annales de l’Institut Henri Poincaré (B) Probabilités et Statistiques, 59(4):1844–1881.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Time reversal of diffusion processes under a finite entropy condition.Annales de l’Institut Henri Poincaré (B) Probabilités et Statistiques, 59(4):1844–1881

Reference 4

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Source-reported events for the cited work

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Observation 54cc856b-2c8a-414c-8479-03d1136b25f3 · outbound

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

Variational Optimality of F\"ollmer Processes in Generative Diffusions Sampling is as easy as learning the score: theory for diffusion models with minimal data assumptions

Reference 5

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Observation 3328af7f-8aa0-4d3e-a7ee-49465fef74e4 · outbound

This paper cites FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation.

Variational Optimality of F\"ollmer Processes in Generative Diffusions FlowDAS: A Stochastic Interpolant-based Framework for Data Assimilation

Reference 6

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Observation 53bb73fd-d57f-4722-a6e0-d2c8e320c244 · outbound

This paper cites Probabilistic forecasting with stochastic interpolants and Föllmer processes.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Probabilistic forecasting with stochastic interpolants and Föllmer processes

Reference 7

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

This paper cites Scale-Adaptive Generative Flows for Multiscale Scientific Data.

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

Reference 8

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Observation f0b54f27-5c8c-4140-889d-7fbfbaa6da16 · outbound

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

Variational Optimality of F\"ollmer Processes in Generative Diffusions Lipschitz-Guided Design of Interpolation Schedules in Generative Models

Reference 9

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Observation aae5b9af-382a-4b6e-a09f-5c234f8a74c2 · outbound

This paper cites Stochastic control liaisons: Richard sinkhorn meets gaspard monge on a schrodinger bridge.Siam Review, 63(2):249–313.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Stochastic control liaisons: Richard sinkhorn meets gaspard monge on a schrodinger bridge.Siam Review, 63(2):249–313

Reference 10

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Observation 851894cb-7110-4778-8244-9c0eab92823f · outbound

This paper cites Joint cosmological parameter inference and initial condition recon- struction with stochastic interpolants.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Joint cosmological parameter inference and initial condition recon- struction with stochastic interpolants

Reference 11

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Observation bb9195cc-2f5c-495c-8e13-0539f05f2a67 · outbound

This paper cites Diffusion schrödinger bridge with applications to score-based generative modeling.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Diffusion schrödinger bridge with applications to score-based generative modeling

Reference 12

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Observation 7792d017-a497-4f90-ba05-a34e551cfee6 · outbound

This paper cites Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Adjoint Matching: Fine-tuning Flow and Diffusion Generative Models with Memoryless Stochastic Optimal Control

Reference 13

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Observation bb01dc33-a74a-4b8a-986c-6ee43992323d · outbound

This paper cites Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Tweedie’s formula and selection bias.Journal of the American Statistical Association, 106(496):1602–1614

Reference 14

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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 f8dcbc8c-6edd-4699-a7c3-62bf3dd28591 · outbound

This paper cites Regularization under diffusion and anticoncentration of the information content.Duke Mathematical Journal, 167(5):969–993.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Regularization under diffusion and anticoncentration of the information content.Duke Mathematical Journal, 167(5):969–993

Reference 15

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Observation e94179aa-d3e0-4d3d-b236-b05415bcc936 · outbound

This paper cites Stability of the logarithmic sobolev inequality via the föllmer process.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Stability of the logarithmic sobolev inequality via the föllmer process

Reference 16

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Observation 59b5e598-83dd-490e-bd2e-bad555e7a3b9 · outbound

This paper cites Time reversal on wiener space.Stochastic Processes—Mathematics and Physics, pages 119–129.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Time reversal on wiener space.Stochastic Processes—Mathematics and Physics, pages 119–129

Reference 17

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Observation 505006f2-4706-433d-a701-241281b59241 · outbound

This paper cites Gaussian Interpolation Flows.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Gaussian Interpolation Flows

Reference 18

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Observation 237f3c02-0597-4989-9b54-8f60a93c6172 · outbound

This paper cites Mimicking the one-dimensional marginal distributions of processes having an itô differential.Probability theory and related fields, 71(4):501–516.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Mimicking the one-dimensional marginal distributions of processes having an itô differential.Probability theory and related fields, 71(4):501–516

Reference 19

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Observation 7295f768-cdee-4181-879c-5be49ef87166 · outbound

This paper cites Time reversal of diffusions.The Annals of Probability, pages 1188–1205.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Time reversal of diffusions.The Annals of Probability, pages 1188–1205

Reference 20

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Observation 7687d9b7-f5c4-42d0-91ae-afe34ad5c0d4 · outbound

This paper cites Denoising diffusion probabilistic models.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Denoising diffusion probabilistic models

Reference 21

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Observation 1d600bd3-3db8-4e46-b629-c9d053d22b90 · outbound

This paper cites Baryonbridge: Stochastic interpolant model for fast hydrodynamical simulations.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Baryonbridge: Stochastic interpolant model for fast hydrodynamical simulations

Reference 22

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Observation 4007e801-e75c-4acf-bdf2-a9badf297bd9 · outbound

This paper cites Schr{\"o}dinger-F{\"o}llmer Sampler: Sampling without Ergodicity.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Schr{\"o}dinger-F{\"o}llmer Sampler: Sampling without Ergodicity

Reference 23

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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 fa2d8d2f-14c9-4dd0-8182-e940061360f3 · outbound

This paper cites Convergence Analysis of Schr{\"o}dinger-F{\"o}llmer Sampler without Convexity.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Convergence Analysis of Schr{\"o}dinger-F{\"o}llmer Sampler without Convexity

Reference 24

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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 949db196-566f-4e76-880f-3141a88eaf4b · outbound

This paper cites springer.

Variational Optimality of F\"ollmer Processes in Generative Diffusions springer

Reference 25

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Observation fc958feb-7dca-4989-84c0-86b4359f53e2 · outbound

This paper cites Variational diffusion models.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Variational diffusion models

Reference 26

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Observation 5ad75dce-c12c-4491-8e2c-abbb762b39cb · outbound

This paper cites Demysti- fying data-driven probabilistic medium-range weather forecasting.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Demysti- fying data-driven probabilistic medium-range weather forecasting

Reference 27

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Observation fc103583-72ea-4c46-98cf-57bffb63d755 · outbound

This paper cites Representation formula for the entropy and functional inequalities.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Representation formula for the entropy and functional inequalities

Reference 28

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Observation eb97736b-f7e0-4709-8732-a142d0e7b285 · outbound

This paper cites A survey of the schrödinger problem and some of its connections with optimal transport.Discrete and Continuous Dynamical Systems-Series A, 34(4):1533–1574.

Variational Optimality of F\"ollmer Processes in Generative Diffusions A survey of the schrödinger problem and some of its connections with optimal transport.Discrete and Continuous Dynamical Systems-Series A, 34(4):1533–1574

Reference 29

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Observation d918fed6-5033-4690-a688-0407e282c694 · outbound

This paper cites Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Elucidating the Design Choice of Probability Paths in Flow Matching for Forecasting

Reference 30

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Observation 60e603d9-5b06-4e53-aa24-2e5d074a8868 · outbound

This paper cites Flow matching for generative modeling.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Flow matching for generative modeling

Reference 31

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Observation 9e14ad93-c17d-478f-bd36-23490112776f · outbound

This paper cites I$^2$SB: Image-to-Image Schr\"odinger Bridge.

Variational Optimality of F\"ollmer Processes in Generative Diffusions I$^2$SB: Image-to-Image Schr\"odinger Bridge

Reference 32

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Observation 22f0f975-d864-4e51-a845-2dcb0cba9a4b · outbound

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

Variational Optimality of F\"ollmer Processes in Generative Diffusions Flow straight and fast: Learning to generate and transfer data with rectified flow

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raw_fallback, observed 2026-05-21T13:30:12.807266Z

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:c7b84ace4f2f25f2ae72fad7de0d8a44e57817981016daac03afc3b980552355

Observation 27aaa505-d25a-496d-b632-9b933ad92d90 · outbound

This paper cites Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Physics-aware generative models for turbulent fluid flows through energy-consistent stochastic interpolants

Reference 34

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arxiv_id, observed 2026-05-21T13:30:11.834897Z

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Observation cd33b22c-b8bf-41ff-9220-e15f33f7f7b6 · outbound

This paper cites Non-Denoising Forward-Time Diffusions.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Non-Denoising Forward-Time Diffusions

Reference 35

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:d8e8907f15d9f2db3bd7e6e22e216a42e0dc594a81d5a60469fe7a34a149f257

Observation 0d159591-d63e-4c9a-9042-4de8252e30a5 · outbound

This paper cites Plug-in estimation of schrödinger bridges.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Plug-in estimation of schrödinger bridges

Reference 36

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:cd8aec879ef0cd0e862f8207bddf69d4a8a8093c37d772391160d45544f2f37c

Observation ed026172-ca5f-451b-8693-2eaea677a8e7 · outbound

This paper cites A generative modeling approach to reconstructing 21 cm tomographic data.Machine Learning: Science and Technology, 6(1):015039.

Variational Optimality of F\"ollmer Processes in Generative Diffusions A generative modeling approach to reconstructing 21 cm tomographic data.Machine Learning: Science and Technology, 6(1):015039

Reference 37

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:cea499961a8fe5fc11e81510cc36d8f83abb2e343ecf2e9855f7f721f1fd1179

Observation d6b73f54-6c91-44d8-8eb2-980c10685254 · outbound

This paper cites Generative Super-Resolution of Turbulent Flows via Stochastic Interpolants.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Generative Super-Resolution of Turbulent Flows via Stochastic Interpolants

Reference 38

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Observation 85438655-cced-41ad-97b0-6965860267d6 · outbound

This paper cites Sur la théorie relativiste de l’électron et l’interprétation de la mécanique quantique.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Sur la théorie relativiste de l’électron et l’interprétation de la mécanique quantique

Reference 39

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:c930b2c70e4a4b5bb8e6138c5755396a9b6b886b7df57b20dffb659695184ca9

Observation db7c4e88-dba2-470c-a3df-5e6e26d4936a · outbound

This paper cites Diffusion schrödinger bridge matching.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Diffusion schrödinger bridge matching

Reference 40

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:522f1e1cdaa86472291f6ae551bfb3fa5be952b9caebeb388ebb1ae2d67cb86b

Observation a5b12d2e-9a73-4c53-882d-32fd3e879838 · outbound

This paper cites Deep unsupervised learning using nonequilibrium thermodynamics.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Deep unsupervised learning using nonequilibrium thermodynamics

Reference 41

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Source-reported events for the cited work

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:bc39328f5ce2fc612ab153069748327b2b12b15f4a7902422fdcb1ec0e7d5574

Observation c100b333-a1ed-48f9-995f-976c0bf18bf1 · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Generative modeling by estimating gradients of the data distribution

Reference 42

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raw_fallback, observed 2026-05-21T13:30:12.797300Z

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:c9ef917d08111f362b444207632c0073a9f99d74e81082c8b5c2586487aaf5eb

Observation f1e5dbad-ba99-432d-b3a9-9f94a7ab7268 · outbound

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

Variational Optimality of F\"ollmer Processes in Generative Diffusions Score-Based Generative Modeling through Stochastic Differential Equations

Reference 43

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local_arxiv, observed 2026-05-21T13:30:11.838843Z

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:b60493366e75560d7f3aa78436c60874dea1b77cbe93dd20c10cc533f7eddd99

Observation f51d5f0b-a5b7-40d0-b8b3-2ee0f817cc0f · outbound

This paper cites Theoretical guarantees for sampling and inference in generative models with latent diffusions.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Theoretical guarantees for sampling and inference in generative models with latent diffusions

Reference 44

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:e48d462380049423c457d556012ae869922544969247641bd6000e82e769e6f5

Observation 5811a754-3c2c-4d7f-bb0d-da7c272b56b1 · outbound

This paper cites Bayesian learning via neural schrödinger–föllmer flows.Statistics and Computing, 33(1):3.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Bayesian learning via neural schrödinger–föllmer flows.Statistics and Computing, 33(1):3

Reference 45

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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:8c3e7770a0c9a63f1f241c985da741e82329d76ed0f085bb5b09dd487fe60add

Observation 1740b58a-94fe-4b29-8f47-3e45859ff60b · outbound

This paper cites Deep generative learning via schrödinger bridge.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Deep generative learning via schrödinger bridge

Reference 46

Resolution
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source=pdf_text observed=2026-05-21T13:29:26.226630Z digest=sha256:e50acca1dfd7381fe3645c9a3f31c1cf078d896d7cdd7a0a402702f78396e7bf

Observation e7f6b5a3-9be7-4db6-a7fd-7e399e22ee7c · outbound

This paper cites Probabilistic super-resolution for urban micrometeorology via a schr\" odinger bridge.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Probabilistic super-resolution for urban micrometeorology via a schr\" odinger bridge

Reference 47

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arxiv_id, observed 2026-05-21T13:30:11.808924Z

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Observation bb03e587-bcba-4089-befd-0ae5e90977c7 · outbound

This paper cites Path integral sampler: A stochastic control approach for sampling.

Variational Optimality of F\"ollmer Processes in Generative Diffusions Path integral sampler: A stochastic control approach for sampling

Reference 48

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raw_fallback, observed 2026-05-21T13:30:12.794637Z

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Pith citing papers

Observation 4789f574-10fa-42aa-8d32-e5378e690c71 · inbound

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model cites this paper.

A note on connections between the F\"ollmer process and the denoising diffusion probabilistic model Variational Optimality of F\"ollmer Processes in Generative Diffusions

Reference 6

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local_arxiv, observed 2026-05-20T00:42:54.630529Z

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