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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.

Source: paper_references, paper_reference_links, observed 2026-08-09T12:06:48.649034Z

measured 68 of 68 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-09T06:31:02.800959+00:00

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
  • verified fuzzy37
  • unresolved27
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

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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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.382805Z digest=sha256:4e8e46cc4cc12c974fa898f9b4d689fece846e620eb31c3fab6a3fca34be53fc

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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source=arxiv_source observed=2026-08-09T12:06:48.388890Z digest=sha256:75253e87e07a6a18841e0bb16fcc4f59d89f7d0aae1b7265e34cf0252660e3ba

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.398876Z digest=sha256:38d75fddb70b34a1cedad2ec4706eca2b7b016ad675ce269d16a54c10147e01d

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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Observation ff1d157b-9f83-4e7c-b86e-a108fc46b58f · outbound

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation dc5567e5-3473-449f-883e-17f3232f68e7 · outbound

This paper cites an unresolved cited work.

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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Observation caaa7480-85ea-4d04-98fd-aee07f2c92ad · outbound

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation a92ae739-d9c9-448b-a8ee-310881137c6f · outbound

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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Observation 5a14a7b9-e28e-492d-90d6-3b93e46bd1f4 · outbound

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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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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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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Observation a2fda310-941f-4c67-b300-a1043d39b0b1 · outbound

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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Observation 06617e25-20a5-4e37-b128-d37b728622f1 · outbound

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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Observation 26d2eb42-4094-4c9e-8444-b6d00ab887ae · outbound

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 0ebceabb-41fc-4f74-a5c8-e4c4b1fcd2d7 · outbound

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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Observation 22fdd687-dd7d-41e9-a8fd-dbe81d2da1fe · outbound

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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Observation 05990281-20e9-4251-8853-f064ae7333d5 · outbound

This paper cites an unresolved cited work.

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

Reference 32

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source=arxiv_source observed=2026-08-09T12:06:48.515600Z digest=sha256:88f1678bdca4b85bdc8ec989b8358efb2a39fb9d222df4532d6a89f9c9df904b

Observation 66f7620a-d45a-4408-a331-12eb873c381e · outbound

This paper cites J., Allen, M.

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

Reference 33

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

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Observation 28a84131-d639-4966-bcf1-32f1e40f82f5 · outbound

This paper cites an unresolved cited work.

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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Observation 4a1714cc-723b-4c98-9e33-6d850aa4e046 · outbound

This paper cites an unresolved cited work.

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

Reference 36

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.532455Z digest=sha256:c7d66d1a2bdce5a42a862bfbd07f1acf03b2173ec14d7ffa048083dc5d745056

Observation c354d265-0eaa-4d22-95cd-891e25c2f2e5 · outbound

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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no resolver link, observed 2026-08-09T12:06:48.536428Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.536428Z digest=sha256:3d74bdd0322d71dca834b2c650812ea4971fc0a2fade2b199f82b90d55334ecc

Observation 46c97334-7d4c-4045-a28f-edd745b14f7a · outbound

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

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:06:49.450561Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.540431Z digest=sha256:919089d9fbf89dd1486d8a0e803ecb9ce972490035cf6b332a2562c1e53f3f1d

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

This paper cites R., Mineiro, P., and Williams, R.

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

Reference 39

Resolution
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raw_fallback, observed 2026-08-09T12:06:49.437427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.544434Z digest=sha256:76cf57523da05008cc7780918b85caf5a16f38cb52d46e953dac69dd4594a37c

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

Resolution
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raw_fallback, observed 2026-08-09T12:06:49.424473Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.548327Z digest=sha256:f7f6dbbc944ceb381d60cd3525ee02308b59a10aabb2fb0021bacf3a5dae37c3

Observation 4e72ddea-8e6a-49ee-9b01-5a097b435eaa · outbound

This paper cites an unresolved cited work.

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

Reference 41

Resolution
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raw_fallback, observed 2026-08-09T12:06:49.410866Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.552370Z digest=sha256:e5aca020ef8b702e4b42bc1d04fb3c3bdb8bdedd56a27805982713d6e6be0ff2

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

Resolution
unresolved
no resolver link, observed 2026-08-09T12:06:48.556523Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.556523Z digest=sha256:02e9371bde5babf0f774cc3a5e05dbf0c67db80ed61bf04934cd93ebc3dc691b

Observation 8424e5be-e8fc-4b2c-8b4b-435b2e1ea39a · outbound

This paper cites Stochastic differential equations.

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

Reference 43

Resolution
verified fuzzy
raw_fallback, observed 2026-08-09T12:06:49.398264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.560738Z digest=sha256:8144a4bf337eebb4f0e81b300e5e1623fc1dfcadd77cc2349e289453211df30c

Observation bc9443c6-07ad-4ade-8920-868272cd5d6d · outbound

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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no resolver link, observed 2026-08-09T12:06:48.564962Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.564962Z digest=sha256:25990821217b093f9b357dd8c78513d01e52c6caf18e9082e6e3b6f6c35df2bb

Observation 065b3a5c-bdb8-47eb-8f7b-5ede09deb814 · outbound

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

Resolution
unresolved
no resolver link, observed 2026-08-09T12:06:48.569024Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.569024Z digest=sha256:36e23cb31657e010d54fff8638514a798266881ddda2233b4bcd0a8104a62bad

Observation 15188f4e-de40-4e8e-bf16-916b45ad8df8 · outbound

This paper cites Automatic differentiation in pytorch.

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

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-09T12:06:48.573127Z

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.573127Z digest=sha256:2c283138891cb0536ec705d9ed05fbedd2fc5484eda751aba89226327e1e92c2

Observation 39b90f12-38bb-4eaa-8992-710ccfc05ab5 · outbound

This paper cites and Favaro, S.

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

Reference 47

Resolution
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raw_fallback, observed 2026-08-09T12:06:49.368041Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.577014Z digest=sha256:5625ad53256bc267526904c25a738fe97598fc799bb716f49deb3bb191bb1e48

Observation a5651396-d62a-4ec8-a013-798eccd9066d · outbound

This paper cites Causal models for dynamical systems.

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

Reference 48

Resolution
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raw_fallback, observed 2026-08-09T12:06:49.354698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.581024Z digest=sha256:d800c97329ce3be8fdea2bb7ef089b60696722e596a89078f6ac0ab5682dbe3b

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
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raw_fallback, observed 2026-08-09T12:06:49.340930Z

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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.584848Z digest=sha256:e50088a0f068c2bd93356a5b20e1015495e7389dd500de643620b65f1447c8ce

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.588887Z digest=sha256:d7aa30c463ddbe2d2b675843b816cb520e939102b53c5a5cfe7f75a873572fb2

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

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raw_fallback, observed 2026-08-09T12:06:49.312139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.592726Z digest=sha256:d69ba5c4e70f9a6aa4462e666e9fcb635ec17bbf802b7c28378dada64655f0bb

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
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raw_fallback, observed 2026-08-09T12:06:49.298279Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.596768Z digest=sha256:fa2885fde815b649fb74317a52558d31ad983a9f5333ad94cbcb1824a01c8ed4

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
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raw_fallback, observed 2026-08-09T12:06:49.285122Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.600639Z digest=sha256:92f1f7a30bdc8f074d9d628e424789fe8548e4414e792c12bf7aaeb2d07c236f

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
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raw_fallback, observed 2026-08-09T12:06:49.271427Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.604673Z digest=sha256:997a9fbad73ea41be99d2b8b35eb71c59b505d8f2487762d20927e8b525545be

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.608653Z digest=sha256:bce247737b346aeb4268ccdb7844f792ea6adc5f5972640a2ea6e506dc275361

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

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.612501Z digest=sha256:4f5ea21cc8a83c6910ef0430bae15404873e27d6d6c7495ab8dd2f0ce3f78dc2

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.616611Z digest=sha256:499407713abbbc271a95d3cb22b4af5a1991b5593fa875e41af294663ba652ea

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.620988Z digest=sha256:8e1837f2cf4e63d8152f00d2e8874717762b6a50372680277d7681d24f8fa43c

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

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

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Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T12:06:48.624929Z digest=sha256:e29d1390c0570bea9749867ecad438485839be3770b7b45d9a328e4f040e4e29

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
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raw_fallback, observed 2026-08-09T12:06:49.226406Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.629197Z digest=sha256:f8494aa51d8e1112b0af6590e4085518f005fbe9857793d210619c16dc7a80c5

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
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raw_fallback, observed 2026-08-09T12:06:49.211108Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.633239Z digest=sha256:6cacd753dcb4882f963c66d409714b79d1698f94c3dda223203e4aacbcdaa88a

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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No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.637342Z digest=sha256:debe8955cd6e245472bec140cdd6a0c93adf075d08eb75aabeb2db2cb672b13e

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
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raw_fallback, observed 2026-08-09T12:06:49.183766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.641128Z digest=sha256:18ab38f65b015abd4e9bd56f38f37bd497f2c58483217b95884223d4881dc12c

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.645105Z digest=sha256:60a987bd8d1ba343ff665e73fdf1ab6806ee8fa01dd2986b650b97d69a2a2ab5

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
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raw_fallback, observed 2026-08-09T12:06:49.155023Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=arxiv_source observed=2026-08-09T12:06:48.649034Z digest=sha256:6a809ca75e1aa574bfe76783244bd44a4c1e334e01e8bb879cc7c697aaec9f59

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
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arxiv_id, observed 2026-05-16T06:22:27.371666Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-05-16T06:22:23.161815Z digest=sha256:d964322dfe3f4459c33080c81372ec6d88d51ab08ed8ba599be6148b437d0c79

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
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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 2026-08-09T06:31:02.800959+00:00.

source=pdf_text observed=2026-07-01T06:26:07.632742Z digest=sha256:f0f10794d05ae65b22b2d717d247a37e12bc0db0de2b52cca9610ab7efd75bb7

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:31:49.526944Z digest=sha256:3356cdbba5e1f9afed92b193f5a03838c0ab9b87ebae9c6a67195701b491d0d4