Paper Citation Record · LEDGER

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

As of 22 August 2026, this Paper Citation Record lists 100 of 100 outbound references and 9 inbound Pith citation observations for arXiv:2504.18506.

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

pith.paper-citation-record.v1
2504.18506 v3

Coverage vector

measured 100 of 100 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-16T10:22:36.981825Z

measured 109 of 109 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-22T06:32:14.747728+00:00

measured 9 of 9 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T13:07:09.505195Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-05-25T05:20:24.309411Z

Reference resolution

100 of 100 outbound references displayed

verified exact8
verified fuzzy33
unresolved59
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 7d4df530-66f0-409d-8920-7e274ac938b7 · outbound

This paper cites write newline.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional write newline

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.631459Z

Source-reported events for the cited work

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Observation b35144e2-5b5e-4943-9610-2ff45d7ec5ec · outbound

This paper cites Dominant folding pathways of a ww domain.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Dominant folding pathways of a ww domain

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.636351Z

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Unavailable: canonical work link unavailable.

Observation 1b36a0f0-2701-4958-8d5b-0d606c497fb2 · outbound

This paper cites J., Bambrick, J., et al.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional J., Bambrick, J., et al

Reference 3

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.639964Z

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Observation 9b4fe030-ddae-4929-9178-155edbc09872 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 4

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.130313Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation cfc81f40-596e-4b62-b2b3-2a792d577bf7 · outbound

This paper cites Wasserstein gan.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Wasserstein gan

Reference 5

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.647637Z

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Observation 7953b71a-3c46-408e-92b2-79c1f1b937b4 · outbound

This paper cites Two for one: Diffusion models and force fields for coarse-grained molecular dynamics.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Two for one: Diffusion models and force fields for coarse-grained molecular dynamics

Reference 6

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.651174Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c295b510-1c4e-48ba-90f9-c1195045e989 · outbound

This paper cites K., and Hauberg, S.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional K., and Hauberg, S

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.654664Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8378a7f3-8d83-4c7f-853c-acc2801cf564 · outbound

This paper cites Dominant reaction pathways in high-dimensional systems.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Dominant reaction pathways in high-dimensional systems

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.658414Z

Source-reported events for the cited work

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Observation e0b8883a-fb9a-468f-aa63-72446db842ba · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.661653Z

Source-reported events for the cited work

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Observation 9169aadf-9c87-4a3d-b303-668a5c1e5852 · outbound

This paper cites A., Dean, J.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional A., Dean, J

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.665085Z

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Observation c20b8fc2-9ec5-486f-b6e5-e111d494980e · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 11

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.668355Z

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Observation db3d3f49-84d9-4ade-9781-cf07a0becdb0 · outbound

This paper cites G., Chandler, D., Dellago, C., and Geissler, P.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., Chandler, D., Dellago, C., and Geissler, P

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.672032Z

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Observation 4a563f14-7631-4ee6-96d3-2307fe76003f · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 13

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.675329Z

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Observation bc6e855b-f55e-48f0-88a2-ca8fabf8977f · outbound

This paper cites and Ferguson, A.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Ferguson, A

Reference 14

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.678552Z

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Observation 065e49b0-388a-4897-a983-99cb4fbf143f · outbound

This paper cites Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Particle Guidance: non-I.I.D. Diverse Sampling with Diffusion Models

Reference 15

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.682013Z

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Observation f84fd6db-8c1b-49ea-89b9-e28e97175440 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 16

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.685639Z

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Unavailable: canonical work link unavailable.

Observation 6fcb5163-0678-4af5-a844-482a606d4889 · outbound

This paper cites and Pohorille, A.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Pohorille, A

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.688858Z

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Unavailable: canonical work link unavailable.

Observation 0624a987-b3b0-4cb2-ab70-79f982e675e7 · outbound

This paper cites C., Garrahan, J.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional C., Garrahan, J

Reference 18

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.692516Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c021030c-6046-4a4d-8753-f051193ffb29 · outbound

This paper cites G., Csajka, F.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., Csajka, F

Reference 19

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.695802Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9fd258dc-de14-4eea-baba-31c533962998 · outbound

This paper cites G., and Geissler, P.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., and Geissler, P

Reference 20

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.700167Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5584e64a-49c9-4235-9084-c5dd24a5d281 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 21

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.703492Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f201bb5f-c5d9-4b09-9b48-c79ea9821f0c · outbound

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

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Doob's Lagrangian: A Sample-Efficient Variational Approach to Transition Path Sampling

Reference 22

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.706784Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b9cdaadd-6faf-4217-af3d-19fd8b04e0ec · outbound

This paper cites Dominant pathways in protein folding.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Dominant pathways in protein folding

Reference 23

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.710604Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6d118e41-2322-4656-a69e-c748264a1224 · outbound

This paper cites L., and Dellago, C.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional L., and Dellago, C

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.713968Z

Source-reported events for the cited work

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Observation 33df7268-1a58-4ce0-bb6e-e60da6443da0 · outbound

This paper cites and Smit, B.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Smit, B

Reference 25

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.717517Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4ae2d1ba-e0ec-4d88-b113-f735d36b41f6 · outbound

This paper cites Onsager–Machlup action-based path sampling and its combination with replica exchange for diffusive and multiple pathways.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Onsager–Machlup action-based path sampling and its combination with replica exchange for diffusive and multiple pathways

Reference 26

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.105535Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a4b52600-90b6-45a2-b89d-2771d70fcf91 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 27

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.724116Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3a96f4fb-fc60-4f76-b26e-0ff5ec773f62 · outbound

This paper cites Generative adversarial nets.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Generative adversarial nets

Reference 28

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.727949Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 42104d99-6fcf-483e-baf3-ff46c558f9bf · outbound

This paper cites R., Batton, C.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional R., Batton, C

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.769252Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 060d2b5e-723b-47d4-9741-d55e7683b8ba · outbound

This paper cites Gaussian Error Linear Units (GELUs).

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Gaussian Error Linear Units (GELUs)

Reference 30

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.735029Z

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Observation 851b55d2-a69b-482d-b06c-22933dd5db51 · outbound

This paper cites P., and Jónsson, H.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional P., and Jónsson, H

Reference 31

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.738865Z

Source-reported events for the cited work

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Observation 33e5a30c-47fc-4fdf-9e55-2e9a91901f2b · outbound

This paper cites Denoising diffusion probabilistic models.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Denoising diffusion probabilistic models

Reference 32

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.742302Z

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Observation 1280c4fb-2959-46c4-9d9b-79f28563396b · outbound

This paper cites Stochastic optimal control for collective variable free sampling of molecular transition paths.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Stochastic optimal control for collective variable free sampling of molecular transition paths

Reference 33

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.745798Z

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Observation 3ae493b9-e68c-47bb-b8e7-5a8e2dd16eb3 · outbound

This paper cites A dual diffusion model enables 3d molecule generation and lead optimization based on target pockets.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional A dual diffusion model enables 3d molecule generation and lead optimization based on target pockets

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.746087Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 23b51e45-3f1e-46f2-8af9-0a153e403e81 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.752729Z

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Observation 36aa55bc-913e-4b6b-8a4a-ab6e4de5c38b · outbound

This paper cites G., Frossard, P., Welling, M., Bronstein, M., and Correia, B.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., Frossard, P., Welling, M., Bronstein, M., and Correia, B

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.728799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6053674f-ffd0-4c0f-a7bc-64bb75869016 · outbound

This paper cites Alphafold meets flow matching for generating protein ensembles, 2024 a.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Alphafold meets flow matching for generating protein ensembles, 2024 a

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.718744Z

Source-reported events for the cited work

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Observation 8cd22afa-c431-4b96-9659-29c0589be34a · outbound

This paper cites Generative Modeling of Molecular Dynamics Trajectories.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Generative Modeling of Molecular Dynamics Trajectories

Reference 38

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.763845Z

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Observation cd675352-9f78-49c3-a9e1-7abab409a782 · outbound

This paper cites Highly accurate protein structure prediction with alphafold.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Highly accurate protein structure prediction with alphafold

Reference 39

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Observation ed703fe0-9d50-4e9b-8c50-8dae9c6fc41d · outbound

This paper cites Transition path sampling of rare events by shooting from the top.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Transition path sampling of rare events by shooting from the top

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.701450Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 925a3fe3-2b21-4caf-9e5e-e89fe9063c73 · outbound

This paper cites Automatic processing of rotation diffraction data from crystals of initially unknown symmetry and cell constants.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Automatic processing of rotation diffraction data from crystals of initially unknown symmetry and cell constants

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.690166Z

Source-reported events for the cited work

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Observation cf6c4484-c4ed-4ddb-b3ec-feb63ce4185e · outbound

This paper cites and Adhikari, R.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Adhikari, R

Reference 42

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.081983Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 6e11431d-a9e8-4ce6-a4fd-374483f5bdfb · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 43

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.783167Z

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Observation 11ed69f4-48f8-42f7-ba01-62d1db76f079 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 44

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.672722Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 773ee070-f6b4-4b63-a753-4593d6e6836d · outbound

This paper cites Transferable Boltzmann Generators.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Transferable Boltzmann Generators

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.790171Z

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Observation 4e6d16a5-f5a1-4541-8f63-dd95ae22faae · outbound

This paper cites M., Bouzida, D., Swendsen, R.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional M., Bouzida, D., Swendsen, R

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.662597Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e1d7aff5-5e58-4b52-8c22-2924510bc0dc · outbound

This paper cites and Gervasio, F.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Gervasio, F

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.651516Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f167452d-d653-4be6-8128-27616c1d0386 · outbound

This paper cites and Parrinello, M.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Parrinello, M

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.639981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 77a6da92-10b7-4962-87b8-b92665a7ccce · outbound

This paper cites and Parrinello, M.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Parrinello, M

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.629443Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bf784ebd-4f71-4a6c-b2ff-450ebd180ef8 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 50

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.070908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 3bfead93-5a8e-4569-8beb-d5ae7a8177fa · outbound

This paper cites Distribution-interpolation trade off in generative models.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Distribution-interpolation trade off in generative models

Reference 51

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.619078Z

Source-reported events for the cited work

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Observation a655cf3a-9869-49fb-8cfa-fd741a596251 · outbound

This paper cites Y., Garc \' a Satorras, V., Abdin, O., Veeling, B.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Y., Garc \' a Satorras, V., Abdin, O., Veeling, B

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.608820Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation bfedb021-3425-4fb7-8cd9-b891ccd10f50 · outbound

This paper cites N., Zhu, Y., Limmer, D.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional N., Zhu, Y., Limmer, D

Reference 53

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.597718Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation dc4cc62e-e04f-4e51-98cf-ffdcabf23776 · outbound

This paper cites O., and Shaw, D.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional O., and Shaw, D

Reference 54

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.823720Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 55b6b2ec-ee5d-4e2d-8221-7c8c14d3e091 · outbound

This paper cites Flow Matching for Generative Modeling.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Flow Matching for Generative Modeling

Reference 55

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.826864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 22fdf584-9200-407f-a96e-cdacbe3066c9 · outbound

This paper cites Flow Matching Guide and Code.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Flow Matching Guide and Code

Reference 56

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.830587Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 113098a2-64ba-48a3-98dc-ae6f0daf4324 · outbound

This paper cites and Onsager, L.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Onsager, L

Reference 57

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.059550Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e9300078-2ec3-4074-8e74-db92b2dbfd54 · outbound

This paper cites A., Martinez, C., Kasavajhala, K., Wickstrom, L., Hauser, K.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional A., Martinez, C., Kasavajhala, K., Wickstrom, L., Hauser, K

Reference 58

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.837759Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0b301fb0-28f8-4fe4-b830-0e173cb9cf4b · outbound

This paper cites Non-Equilibrium Thermodynamics in Multiphase Flows.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Non-Equilibrium Thermodynamics in Multiphase Flows

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.580774Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 8e1340cf-43ab-4630-8b74-4f7b3b3274a4 · outbound

This paper cites On Linear Interpolation in the Latent Space of Deep Generative Models.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional On Linear Interpolation in the Latent Space of Deep Generative Models

Reference 60

Resolution: verified exact; local_arxiv, observed 2026-08-16T10:22:37.163858Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d82f6f59-f495-423b-b567-ddf1553df37c · outbound

This paper cites G., Shea, J.-E., and Peters, B.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., Shea, J.-E., and Peters, B

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.569677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 7a95a842-f318-4e84-ab25-34aaee2e73f4 · outbound

This paper cites and Brown, L.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Brown, L

Reference 62

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.559415Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d72b7dfd-bc72-4c35-ac1b-a53ec7ca94ff · outbound

This paper cites Projected and hidden markov models for calculating kinetics and metastable states of complex molecules.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Projected and hidden markov models for calculating kinetics and metastable states of complex molecules

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.548495Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 781a6548-662d-457f-b211-de280e3b7490 · outbound

This paper cites Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Boltzmann generators: Sampling equilibrium states of many-body systems with deep learning

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.858264Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 2125ce39-73e5-4db8-913c-ce71b64e51ee · outbound

This paper cites and Machlup, S.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Machlup, S

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.861669Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3ecfdc89-68d2-4fb4-ba85-8a206d9e7dbc · outbound

This paper cites and Covino, R.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Covino, R

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.531200Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 1b2d6944-31b4-44d8-b6c3-094bc034ec3e · outbound

This paper cites Movie Gen: A Cast of Media Foundation Models.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Movie Gen: A Cast of Media Foundation Models

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.868857Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 12186eda-4fde-4a21-bb3b-51afd7d74859 · outbound

This paper cites D., Sch \"u tte, C., and No \'e , F.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional D., Sch \"u tte, C., and No \'e , F

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.521633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 5b830650-c6cc-40b0-8879-184e5f5d0f94 · outbound

This paper cites Representation learning via manifold flattening and reconstruction.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Representation learning via manifold flattening and reconstruction

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.511478Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4a95e9df-ebe0-4bc9-a603-a81673ff20a7 · outbound

This paper cites L., Lin, C., Wang, G., and Torr, P.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional L., Lin, C., Wang, G., and Torr, P

Reference 70

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.501033Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 94609e71-a917-44de-b626-acfc50ad1ca9 · outbound

This paper cites and Krishnapriyan, A.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Krishnapriyan, A

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.490201Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4bf0a5cb-2c49-47fd-8363-9a197c9af0ba · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 72

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.479763Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4db69a17-6798-41a2-82b3-a155b8180bbc · outbound

This paper cites G., Rojo, A., and Bloch, A.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional G., Rojo, A., and Bloch, A

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.469224Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c4b649b5-c1d7-4c0e-941e-0613f2e8d6a0 · outbound

This paper cites C., Mair, J.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional C., Mair, J

Reference 74

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.459063Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 87fa0d34-7c17-4854-b7b2-008416668529 · outbound

This paper cites M., Mitchell, A.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional M., Mitchell, A

Reference 75

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.448027Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f490da1f-7698-4647-b448-480405ee4a22 · outbound

This paper cites L., Lio, P., et al.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional L., Lio, P., et al

Reference 76

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.436772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4576869-21a8-4b22-9c57-7e3e782df019 · outbound

This paper cites Implicit transfer operator learning: Multiple time-resolution models for molecular dynamics.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Implicit transfer operator learning: Multiple time-resolution models for molecular dynamics

Reference 77

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.426446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a5b5e2a2-449b-40c0-bcfa-ef7b26ef438c · outbound

This paper cites Y., and Ahn, S.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Y., and Ahn, S

Reference 78

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.416152Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 9dd30778-eb52-4f46-b0e2-5ce01647ed19 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 79

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.405608Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a7169288-1acc-4d84-ab5b-31e7b9c57fef · outbound

This paper cites C., Grajciar, L., and G \'o mez-Bombarelli, R.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional C., Grajciar, L., and G \'o mez-Bombarelli, R

Reference 80

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.394633Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation ddd791ec-1547-461f-9900-41dba78ff11a · outbound

This paper cites and Setny, P.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Setny, P

Reference 81

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.034986Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 889588fb-b3da-4fe5-99ff-61ed4fcf4ff3 · outbound

This paper cites and Ermon, S.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Ermon, S

Reference 82

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.919864Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5c96f865-c420-4682-9c8d-7925bdf1f8a4 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 83

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.377845Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c88959d4-1cdf-4577-b329-c1a523c5fc7a · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 84

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.926613Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e5a63c01-33d8-4308-b2a5-eac45c233944 · outbound

This paper cites Multitask machine learning of collective variables for enhanced sampling of rare events, 2022.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Multitask machine learning of collective variables for enhanced sampling of rare events, 2022

Reference 85

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.367601Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 349c8b26-1f0b-47ef-9131-e450f6233841 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 86

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.356485Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation e97c0d19-5136-451c-a56a-448822ce592f · outbound

This paper cites and Parrinello, M.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Parrinello, M

Reference 87

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.346264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 034481c4-0188-462c-b0b8-bad3a0234ab5 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 88

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.335981Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation fe924712-3292-4ddb-a825-eaf660019e8b · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 89

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.325058Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 4d8af0db-314d-4179-b524-9880224343d3 · outbound

This paper cites and Parrinello, M.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Parrinello, M

Reference 90

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.314748Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a733c84e-9bc7-4735-beb6-bff6dc5c0fdd · outbound

This paper cites and Heymann, M.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional and Heymann, M

Reference 91

Resolution: verified fuzzy; raw_fallback, observed 2026-08-16T10:22:37.303698Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation a665fda5-268d-48d5-add6-bb1dbe4f560a · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 92

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.293237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 49119c68-6204-46fa-865c-4a43e72e5b40 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 93

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.283393Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation f4c65b3c-9006-440d-abc0-1971cc8a62f6 · outbound

This paper cites Atlas: protein flexibility description from atomistic molecular dynamics simulations.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Atlas: protein flexibility description from atomistic molecular dynamics simulations

Reference 94

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.960969Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6992101c-ea0f-4172-8d48-5e00c5ef7efd · outbound

This paper cites A connection between score matching and denoising autoencoders.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional A connection between score matching and denoising autoencoders

Reference 95

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.964219Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 9c582d2d-baf9-4af5-bff3-2d21e28fbeb3 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 96

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.260675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation eba7b8ab-b756-4014-9f94-189ad65b6093 · outbound

This paper cites an unresolved cited work.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Unresolved cited work

Reference 97

Resolution: unresolved; raw_fallback, observed 2026-08-16T10:22:37.249839Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 86a11f03-65b8-4426-9f71-1d683b8ed4d2 · outbound

This paper cites MatterGen: a generative model for inorganic materials design.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional MatterGen: a generative model for inorganic materials design

Reference 98

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.974656Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 4f275833-91b6-4c48-854a-b3a25118a43d · outbound

This paper cites Predicting equilibrium distributions for molecular systems with deep learning.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Predicting equilibrium distributions for molecular systems with deep learning

Reference 99

Resolution: unresolved; no resolver link, observed 2026-08-16T10:22:36.978147Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 3b80a3b4-0dfb-4b01-8ae1-acf024551237 · outbound

This paper cites Constructing collective variables using invariant learned representations.

Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional Constructing collective variables using invariant learned representations

Reference 100

Resolution: verified exact; doi, observed 2026-08-16T10:22:37.016368Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Pith citing papers

Observation 1b9295c3-0ca0-42bb-bc66-3eeb1c3d8dbc · inbound

Flow Matching Policy Gradients cites this paper.

Flow Matching Policy Gradients Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 10

Resolution: unresolved; no resolver link, observed 2026-08-06T13:07:09.505195Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a914c1b2-dd12-42ce-a62b-0b262d3fb390 · inbound

A Priori Sampling of Transition States with Guided Diffusion cites this paper.

A Priori Sampling of Transition States with Guided Diffusion Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 48

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T23:58:19.031193Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 61265fa7-b4d1-4ee1-934d-6cbfb778a83f · inbound

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models cites this paper.

Energy-oriented Diffusion Bridge for Image Restoration with Foundational Diffusion Models Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 8

Resolution: metadata mismatch; arxiv_id, observed 2026-05-11T10:01:00.956141Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation d7dc553f-d7b1-48b3-995e-32b66b3e6810 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-12T08:06:27.270219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 0e1a8aea-1684-4b60-9c63-896cdd6c0b68 · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T20:52:59.225758Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation aefe2cae-e1d5-4c1b-a678-681be6ee588d · inbound

A Call to Lagrangian Action: Learning Population Mechanics from Temporal Snapshots cites this paper.

Reference 7

Resolution: metadata mismatch; arxiv_id, observed 2026-05-20T22:23:48.172348Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 79166ed1-193a-4059-9303-176f00815859 · inbound

Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle cites this paper.

Information as Maximum-Caliber Deviation: A bridge between Integrated Information Theory and the Free Energy Principle Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 201

Resolution: metadata mismatch; arxiv_id, observed 2026-05-14T21:18:00.224140Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation c5355b5d-3199-4775-b14e-2fb7881dea38 · inbound

Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields cites this paper.

Drift-React: One-step Generation of Reaction Pathways via SE(3) Drifting Fields Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 33

Resolution: verified exact; arxiv_id, observed 2026-05-25T05:20:24.312700Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.

Observation 67d96f6b-3fab-4bdf-8c2b-1a4b07e6dd99 · inbound

Onsager-Machlup Posterior Transport for Deep Gaussian Processes cites this paper.

Onsager-Machlup Posterior Transport for Deep Gaussian Processes Action-Minimization Meets Generative Modeling: Efficient Transition Path Sampling with the Onsager-Machlup Functional

Reference 28

Resolution: metadata mismatch; arxiv_id, observed 2026-05-25T04:50:21.090831Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-22T06:32:14.747728+00:00.