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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.

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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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source=arxiv_source observed=2026-08-09T12:06:48.388890Z digest=sha256:c0d14868e06fb88842b95c08b43a7ad9a9590dc32620a8132130de648b01b165

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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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.

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

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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=sha256:12c0ad8363c9c2b09a25944bc731912bddb5e180fb6a727924c01d43fcccb9ac

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

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

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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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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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source=arxiv_source observed=2026-08-09T12:06:48.536428Z digest=sha256:7f80201a9562f206d71f9c5ed133ab566531719586b2e409e074aeb7bdcd2855

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

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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=2026-08-09T12:06:48.540431Z digest=sha256:d92816d146fc12f88edb07da05721c6498814622dee49f74d8e22d0543b9eb45

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

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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=2026-08-09T12:06:48.544434Z digest=sha256:0f3890a14638ad9760ad286346f044fdc7ef1b390141eea98c045fb9fccce284

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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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=sha256:0bbcae8be88291cf4ffef7081d016368077424c8ad523a393d52ad607a0225c9

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

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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=2026-08-09T12:06:48.552370Z digest=sha256:5a099129730a8c2a9811abb4541d4b14646ef324ffe71ca926fb0185c298d00e

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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source=arxiv_source observed=2026-08-09T12:06:48.556523Z digest=sha256:9d8e4454b0edc6ea5cb3c5b43df8cc29fe76d89ef4bf4968bdcb82cdd0f7fd3a

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:c24ab4d0bac4ba982a507000e2c3fa666c35cb96f198b6acc8dacf9fc394100d

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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source=arxiv_source observed=2026-08-09T12:06:48.564962Z digest=sha256:9bb0c03cebf0e04a64e7f2681700863206673980cbf0e510970e065a0ea8482e

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

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source=arxiv_source observed=2026-08-09T12:06:48.569024Z digest=sha256:373f1660c42c94b666734ef06ece264876233947c5c12be06fb6b5157cc5fe8a

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

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source=arxiv_source observed=2026-08-09T12:06:48.573127Z digest=sha256:99bf42c2214546652726a80bcb98926fc5329a90a638c71fe312d7d4e95bfcbf

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

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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=2026-08-09T12:06:48.577014Z digest=sha256:713e5e1a81995fe3d3995d7d4b4742425978de5fe11e08fd5b1ed7c360dc1ead

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

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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=2026-08-09T12:06:48.581024Z digest=sha256:53c7033793946271c342e9ae82d9f83222975fb880e50cab87bcdd02b2a18260

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

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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=sha256:38c69b2bab6955810f62aec51a28d14301c2906263b3190937f9c41a96bed834

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

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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=sha256:2286eb6075f07c6af69eae3d9a58757a336eb6e5537429f8c0844748bf8ab78d

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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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:ba3c0e5d022221750fe8d974c267443fdfc3d1d53efd769f1a1e4f28ac4f8598

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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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:a5d5af288f8d9f324b0385059d15023cc25f306cd981192acb3e9abef903a38d

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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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:a27402cbee19a9dbd0759e2359eaba7d13f7805e4482acdb84df8fc90dad9898

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

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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=2026-08-09T12:06:48.604673Z digest=sha256:ae2451317ef409c2b3a1a86704d591dd6dcae99da98e00f706959f2327c4c95e

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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source=arxiv_source observed=2026-08-09T12:06:48.608653Z digest=sha256:23afced747c479951df8d046389c63d8c9916bfeb5f63c8c92ae843338222d2a

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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source=arxiv_source observed=2026-08-09T12:06:48.612501Z digest=sha256:f4de7237c093fcf6517e82668ecead151caa9e7f370e9116216095121f41eec6

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

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source=arxiv_source observed=2026-08-09T12:06:48.616611Z digest=sha256:909ac21487d7f028a54257ddbb1c3d516ed38794a5025b43b28af1bbb2a9bc94

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

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raw_fallback, observed 2026-08-09T12:06:49.240300Z

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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=2026-08-09T12:06:48.620988Z digest=sha256:347a8a53bc0603f6ead9f9cbba11cefb1973e25272241ae8e7a93461f8be462f

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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source=arxiv_source observed=2026-08-09T12:06:48.624929Z digest=sha256:1fda4d58e6365ff7d02c4c1f892b818a653581a685caceff7b899ff2b21e4150

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

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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=2026-08-09T12:06:48.629197Z digest=sha256:c2738eb6ca80b3ed312afc4e7a871be9525d1b4989f63bbc0fb593424455e987

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

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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=2026-08-09T12:06:48.633239Z digest=sha256:bbb443203c47ab3ce4f2f0e521c767b9c4eeeb12e3da2d3fc1f87f59446c5079

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

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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=sha256:4a54b615ba5f3b293c335310fb0364f771208b29086702da754ce534ac0f8a70

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

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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=2026-08-09T12:06:48.641128Z digest=sha256:9d83158a90a5cb96e5da278421987f3585ec557d6e277e80d7265e4f756e9879

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
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raw_fallback, observed 2026-08-09T12:06:49.169987Z

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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=2026-08-09T12:06:48.645105Z digest=sha256:d55cfce880aa6b9679cd7c775a3f3b749a472714947e1149d4883c9bfa9c9afa

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

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

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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=2026-08-09T12:06:48.649034Z digest=sha256:f3a86771b35b200951140c8ecfe85767303334114201fd898862821114e20127

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

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

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

source=pdf_text observed=2026-05-16T06:22:23.161815Z digest=sha256:e049dc4530d6cbe878e95f1f63be2f6d54cd7f24cfae0a7a348c8dbc16e40a30

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

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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=sha256:430c8a536a141c4ebd70b852fa9c389e80864153d14c4b51e324866526518e7b

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-08T18:31:49.526944Z digest=sha256:243799e9ccee3c1fdbda842a0957a6e43805930bf7e5812935886017c8f27199