Paper Citation Record · LEDGER

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

As of 10 August 2026, this Paper Citation Record lists 65 of 65 outbound references and 3 inbound Pith citation observations for arXiv:2502.02472.

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

pith.paper-citation-record.v1
2502.02472 v3

Coverage vector

measured 65 of 65 reference resolution

Typed states for the displayed outbound observations.

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measured 68 of 68 standing notices

One-hop event checks from named stored sources.

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measured 3 of 3 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-08T18:31:49.526944Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-01T09:35:40.430585Z

Reference resolution

65 of 65 outbound references displayed

verified exact1
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External citation measurements

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Outbound references

Observation 83fa19af-ba81-4241-b59a-b34b6a02503b · outbound

This paper cites write newline.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations write newline

Reference 1

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Observation d32b8f81-cff1-4038-9395-4e27d70791de · outbound

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

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Stochastic Interpolants: A Unifying Framework for Flows and Diffusions

Reference 2

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Observation 4d8e7835-a3e5-4130-8249-871d5407661c · outbound

This paper cites Gaussian process approximations of stochastic differential equations.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Gaussian process approximations of stochastic differential equations

Reference 3

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Observation 882175a7-50b0-48d4-aebe-18d423c41e48 · outbound

This paper cites Variational inference for diffusion processes.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Variational inference for diffusion processes

Reference 4

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Observation 23950448-948b-4b27-8757-0621ee4ef297 · outbound

This paper cites Neural Diffusion Models.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Neural Diffusion Models

Reference 5

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Observation 0a613d84-1742-470d-a125-f82cd81f2b22 · outbound

This paper cites Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Neural Flow Diffusion Models: Learnable Forward Process for Improved Diffusion Modelling

Reference 6

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This paper cites O., and Fearnhead, P.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations O., and Fearnhead, P

Reference 7

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Observation 7428aca2-0814-4386-861f-efa84e876c95 · outbound

This paper cites S., Januschowski, T., and G \"u nnemann, S.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations S., Januschowski, T., and G \"u nnemann, S

Reference 8

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

Reference 9

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This paper cites J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations J., Leary, C., Maclaurin, D., Necula, G., Paszke, A., Vander P las, J., Wanderman- M ilne, S., and Zhang, Q

Reference 10

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Observation 82b732c1-0787-4b59-b43c-74a146cce5ab · outbound

This paper cites T., Rubanova, Y., Bettencourt, J., and Duvenaud, D.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations T., Rubanova, Y., Bettencourt, J., and Duvenaud, D

Reference 11

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Observation e3c32ef6-25de-4ea4-a6b9-ae05cb9a4c0e · outbound

This paper cites Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Learning Phrase Representations using RNN Encoder-Decoder for Statistical Machine Translation

Reference 12

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Observation 0b5646ac-cd0a-4efa-a962-266dda09b19c · outbound

This paper cites An introduction to sequential M onte C arlo , volume 4.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations An introduction to sequential M onte C arlo , volume 4

Reference 13

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This paper cites and Nair, P.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Nair, P

Reference 14

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Observation 165bd189-1be5-41d8-b20f-3358bba3718e · outbound

This paper cites Variational inference for SDE s driven by fractional noise.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Variational inference for SDE s driven by fractional noise

Reference 15

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Observation 95356658-b479-472d-bcaa-349c2b134fa2 · outbound

This paper cites Density estimation using real NVP.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Density estimation using real NVP

Reference 16

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Observation 535b09e1-2541-4b9a-bd0a-02be4bd2c130 · outbound

This paper cites Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 17

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Observation 4bc58eff-7374-4987-8208-2f868e1239c5 · outbound

This paper cites and van Gerven, M.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and van Gerven, M

Reference 18

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Observation ddd063a3-cc0f-4967-9374-5ea5f5c3291a · outbound

This paper cites How to train your neural ode: the world of jacobian and kinetic regularization.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations How to train your neural ode: the world of jacobian and kinetic regularization

Reference 19

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Observation b7e5fed4-74b7-47d6-a996-efff269f842e · outbound

This paper cites E., and Carin, L.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations E., and Carin, L

Reference 20

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This paper cites and Glasserman, P.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Glasserman, P

Reference 21

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Observation 8fa176a8-ef62-4c46-bcc9-b65a7a4db60d · outbound

This paper cites and Munos, R.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Munos, R

Reference 22

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

Reference 23

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Observation 92c7a16c-41df-4fc6-b351-06f61955e004 · outbound

This paper cites Adaptive path-integral autoencoders: Representation learning and planning for dynamical systems.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Adaptive path-integral autoencoders: Representation learning and planning for dynamical systems

Reference 24

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This paper cites o m, H., Intosalmi, J., and L \.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations o m, H., Intosalmi, J., and L \

Reference 25

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Observation 50610fcf-0b75-44d8-8c6d-1bb105ba6200 · outbound

This paper cites Denoising diffusion probabilistic models.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Denoising diffusion probabilistic models

Reference 26

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This paper cites Stochastic Normalizing Flows.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Stochastic Normalizing Flows

Reference 27

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This paper cites J., and Duvenaud, D.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations J., and Duvenaud, D

Reference 28

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This paper cites hey, that's not an ode.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations hey, that's not an ode

Reference 29

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This paper cites C., and Lyons, T.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations C., and Lyons, T

Reference 30

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Observation 662c68bd-ace2-4de9-b8ad-da87b0625786 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Adam: A Method for Stochastic Optimization

Reference 31

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations J., Allen, M

Reference 33

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

Reference 34

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Observation fd893d9a-e9ca-4c5d-b512-6ef4c5005b14 · outbound

This paper cites L., Chen, R.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations L., Chen, R

Reference 35

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

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

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Flow straight and fast: Learning to generate and transfer data with rectified flow

Reference 37

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This paper cites Continuous-discrete smoothing of diffusions.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Continuous-discrete smoothing of diffusions

Reference 38

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Observation ae5ec9bd-9b31-41a1-90d8-f8c294c165c3 · outbound

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations R., Mineiro, P., and Williams, R

Reference 39

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Observation 87b2fbb4-c364-4279-96d8-d67b3b3a6d49 · outbound

This paper cites A., Lindsten, F., Sch \"o n, T.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations A., Lindsten, F., Sch \"o n, T

Reference 40

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Unresolved cited work

Reference 41

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Observation f476951c-f57c-4f7c-b46b-052b98cb97b6 · outbound

This paper cites Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Stable Neural Stochastic Differential Equations in Analyzing Irregular Time Series Data

Reference 42

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Stochastic differential equations

Reference 43

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This paper cites J., Mohamed, S., and Lakshminarayanan, B.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations J., Mohamed, S., and Lakshminarayanan, B

Reference 44

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This paper cites Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Amortized Control of Continuous State Space Feynman-Kac Model for Irregular Time Series

Reference 45

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Automatic differentiation in pytorch

Reference 46

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Favaro, S

Reference 47

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SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Causal models for dynamical systems

Reference 48

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Observation 6c8c1833-32d7-425f-92f8-ed1ac544eb44 · outbound

This paper cites T., and Duvenaud, D.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations T., and Duvenaud, D

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.340930Z

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Observation a95e7ada-6bf3-410c-a9d1-ee2e857da358 · outbound

This paper cites Differential equations, dynamical systems, and linear algebra.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Differential equations, dynamical systems, and linear algebra

Reference 50

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.325894Z

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Observation 3459fff5-7eba-464b-a84a-714b4ece2c0f · outbound

This paper cites S., and Prangle, D.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations S., and Prangle, D

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.312139Z

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Observation 798664b1-e62a-448b-94ff-5b12e77c37d4 · outbound

This paper cites S., Gokaslan, A., Sa, C.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations S., Gokaslan, A., Sa, C

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.298279Z

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Observation ceceb698-f2f3-42be-9a18-acc709ef6e63 · outbound

This paper cites and Solin, A.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Solin, A

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.285122Z

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Observation b93bcbb7-7646-4919-8cd4-895c8f03bf6e · outbound

This paper cites Where to diffuse, how to diffuse, and how to get back: Automated learning for multivariate diffusions.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Where to diffuse, how to diffuse, and how to get back: Automated learning for multivariate diffusions

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.271427Z

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Observation c8269141-566d-4ad8-8174-a161927d70d9 · outbound

This paper cites Maximum likelihood training of score-based diffusion models.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Maximum likelihood training of score-based diffusion models

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-09T12:06:48.608653Z

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Observation 0554ee3f-b5c5-4b57-a9fb-87196c077e8d · outbound

This paper cites P., Kumar, A., Ermon, S., and Poole, B.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations P., Kumar, A., Ermon, S., and Poole, B

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-09T12:06:48.612501Z

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Observation 8dfb7928-c9c8-4a76-8919-e09dc8daa0b6 · outbound

This paper cites Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Neural Stochastic Differential Equations: Deep Latent Gaussian Models in the Diffusion Limit

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-09T12:06:48.616611Z

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Observation 68304d13-c582-40ea-80ac-c6e8a91cc7c3 · outbound

This paper cites Comparing stochastic lotka--volterra predator-prey models.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Comparing stochastic lotka--volterra predator-prey models

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.240300Z

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Observation 1a320389-afca-47a4-98fc-413352c15c21 · outbound

This paper cites and Schauer, M.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Schauer, M

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-09T12:06:48.624929Z

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Observation b7088b5c-c007-41dd-aaee-696521654292 · outbound

This paper cites Variational G aussian process diffusion processes.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Variational G aussian process diffusion processes

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.226406Z

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Observation f2789b25-6ab7-49b5-9def-09242fef2a48 · outbound

This paper cites M., Fleet, D.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations M., Fleet, D

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.211108Z

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Observation 611b611e-824f-4d6e-b1b3-250463ae6d65 · outbound

This paper cites A., Blei, D., and Cunningham, J.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations A., Blei, D., and Cunningham, J

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.197194Z

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Observation d526d831-4940-494a-8d91-61cb5217ce8d · outbound

This paper cites and Kushner, H.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations and Kushner, H

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.183766Z

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Observation 2e5d1c26-3c9b-4174-99b8-24287c85d650 · outbound

This paper cites Ode2vae: Deep generative second order odes with B ayesian neural networks.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations Ode2vae: Deep generative second order odes with B ayesian neural networks

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.169987Z

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Observation 30e3a4db-0c45-4bda-b24f-1e092003e252 · outbound

This paper cites L., and Tong, A.

SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations L., and Tong, A

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T12:06:49.155023Z

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Pith citing papers

Observation b19da799-821b-45d1-8832-03ba84d66563 · inbound

Is Flow Matching Just Trajectory Replay for Sequential Data? cites this paper.

Is Flow Matching Just Trajectory Replay for Sequential Data? SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

Reference 8

Resolution: verified exact; arxiv_id, observed 2026-05-16T06:22:27.371666Z

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

Observation bedd7e0b-c35d-4eda-ad16-0bbdc492965e · inbound

Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective cites this paper.

Introduction to Stochastic Differential Equations for Generative Machine Learning: A Variational Perspective SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

Reference 3

Resolution: verified exact; arxiv_id, observed 2026-07-01T09:35:40.433504Z

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 3b793227-6e3e-4e9f-8271-e6f5512611dc · inbound

An adaptive split-combine Gaussian mixture filter for nonlinear and multimodal state estimation cites this paper.

An adaptive split-combine Gaussian mixture filter for nonlinear and multimodal state estimation SDE Matching: Scalable and Simulation-Free Training of Latent Stochastic Differential Equations

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-08T18:31:49.526944Z

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