Paper Citation Record · LEDGER

MNE: overparametrized neural evolution with applications to diffusion processes and sampling

As of 9 August 2026, this Paper Citation Record lists 49 of 49 outbound references and 2 inbound Pith citation observations for arXiv:2502.03645.

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

pith.paper-citation-record.v1
2502.03645 v1

Coverage vector

measured 49 of 49 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-09T04:20:37.884999Z

measured 51 of 51 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-07T10:54:50.137596Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-07T10:19:47.186538Z

Reference resolution

49 of 49 outbound references displayed

verified exact0
verified fuzzy38
unresolved11
parse uncertain0
malformed identifier0
metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 35f73ddb-9d6d-45db-b984-9804c585350c · outbound

This paper cites Albergo and Eric Vanden-Eijnden.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Albergo and Eric Vanden-Eijnden

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.803856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ae7a6fc-5b06-40f4-8212-1191e3b8ced1 · outbound

This paper cites Diﬀerential-geometrical methods in statistics , volume 28.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Diﬀerential-geometrical methods in statistics , volume 28

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.786178Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e7d1aef-bd64-4157-8202-86addc614579 · outbound

This paper cites Natural gradient works eﬃciently in le arning.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Natural gradient works eﬃciently in le arning

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.767962Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 65071ab0-2a6c-4cd4-b60e-b8eb5673a140 · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 4

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.751273Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 606266c0-cf99-4519-93db-b82d0c73fc2e · outbound

This paper cites Quantum Monte Carlo Approaches for Correlated Systems.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Quantum Monte Carlo Approaches for Correlated Systems

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.733797Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 291391a2-2246-4839-8723-e2c2cc6bc92a · outbound

This paper cites Randomized spa rse neural galerkin schemes for solv- ing evolution equations with deep networks.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Randomized spa rse neural galerkin schemes for solv- ing evolution equations with deep networks

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.716360Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 25ce639e-34ff-4cbb-982e-22a1d8e5fa78 · outbound

This paper cites A Conceptual Introduction to Hamiltonian Monte Carlo.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling A Conceptual Introduction to Hamiltonian Monte Carlo

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:37.637415Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 7229f661-6744-4726-b155-4ed6024d1000 · outbound

This paper cites Probability ﬂow solution of the Fokker-Planck equation.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Probability ﬂow solution of the Fokker-Planck equation

Reference 8

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.697799Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0f0deb04-91d0-4aab-a071-4aee9c8afd75 · outbound

This paper cites Boﬃ and Eric Vanden-Eijnden.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Boﬃ and Eric Vanden-Eijnden

Reference 9

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.670114Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1bc560e9-c38c-45f8-93ad-70556a82194b · outbound

This paper cites JAX: composable transformations of Python+NumPy pr ograms, 2018.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling JAX: composable transformations of Python+NumPy pr ograms, 2018

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.652264Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation fcc1fe38-ab2d-4eab-8321-8ab5c2ecef7c · outbound

This paper cites Neural Galerkin schemes with active learning for high-dimensional evolution equations.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Neural Galerkin schemes with active learning for high-dimensional evolution equations

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.635853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dd2f4688-1e9a-4bfa-855f-98b7ba6ec7a0 · outbound

This paper cites Empowering deep neural quantum states through eﬃcient opti- mization.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Empowering deep neural quantum states through eﬃcient opti- mization

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.618446Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 449b56c4-8322-4024-b21e-9fa912d8a0f1 · outbound

This paper cites TENG: Time- evolving natural gradient for solving PDEs with deep neural nets toward machine precision.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling TENG: Time- evolving natural gradient for solving PDEs with deep neural nets toward machine precision

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.599833Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 62eeb2b3-b8ef-4e89-b73e-7416515b8bbb · outbound

This paper cites Sliced iterative normalizin g ﬂows.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Sliced iterative normalizin g ﬂows

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.582505Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 4d9cb2b2-39d4-43c4-81e6-7c58c551d33d · outbound

This paper cites Translation and rotation equ ivariant normalizing ﬂow (trenf) for optimal cosmological analysis.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Translation and rotation equ ivariant normalizing ﬂow (trenf) for optimal cosmological analysis

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.566405Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f1b8f71-5704-4840-94c7-15c83f071b31 · outbound

This paper cites Multiscale ﬂow for robust and optimal cosmological analysis.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Multiscale ﬂow for robust and optimal cosmological analysis

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.546850Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation d71e7c58-5027-48a1-93e6-b2b98a999228 · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 17

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.530451Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1d229604-4669-4a78-8541-b28db6fcbf46 · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 18

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.514428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 15bf14f5-903c-4a11-b2b0-d6de2ddfbef7 · outbound

This paper cites Regularized dynamical parametric approximation, 2024.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Regularized dynamical parametric approximation, 2024

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.497145Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a0881d18-3cb0-42a4-95e6-8c78db1635c4 · outbound

This paper cites Langevin diﬀusion varia tional inference.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Langevin diﬀusion varia tional inference

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.479673Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 8f566fd8-8efa-485f-9b23-4b14c902c2ed · outbound

This paper cites A kaczm arz-inspired approach to accel- erate the optimization of neural network wavefunctions.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling A kaczm arz-inspired approach to accel- erate the optimization of neural network wavefunctions

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.462377Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 611e5089-5665-40b2-ba73-5405c3a3661f · outbound

This paper cites Quantum Monte Carlo Methods.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Quantum Monte Carlo Methods

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.445905Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0606e06c-5ecc-442c-a070-3ede40cba946 · outbound

This paper cites Denoising di ﬀusion probabilistic models.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Denoising di ﬀusion probabilistic models

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.427987Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation b0ea5e69-5806-4515-b484-4b2449823c0d · outbound

This paper cites Cascaded Diffusion Models for High Fidelity Image Generation.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Cascaded Diffusion Models for High Fidelity Image Generation

Reference 24

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:37.744475Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 5b885699-701e-46b6-83fd-bab7255f9e19 · outbound

This paper cites Classiﬁer-free diﬀusion guidance.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Classiﬁer-free diﬀusion guidance

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.409383Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 66892ae9-1ec8-4724-b6a0-d2d261c1ea12 · outbound

This paper cites Video Diffusion Models.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Video Diffusion Models

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:37.756381Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d195f6b5-f928-440f-af43-d7f9a6752f2d · outbound

This paper cites Neu ral tangent kernel: Convergence and generalization in neural networks.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Neu ral tangent kernel: Convergence and generalization in neural networks

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.390977Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 463d50ba-25ed-4b25-9d4e-bf694c7ea926 · outbound

This paper cites Ac- celerating astronomical and cosmological inference with p reconditioned monte carlo.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Ac- celerating astronomical and cosmological inference with p reconditioned monte carlo

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.373990Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 58d9658d-1958-4661-93a5-6a666d89546b · outbound

This paper cites pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling pocoMC: A Python package for accelerated Bayesian inference in astronomy and cosmology

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-09T04:20:37.774260Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 16ac9d0b-1d23-49d8-a125-768a2a4a076f · outbound

This paper cites On Neural Diﬀerential Equations.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling On Neural Diﬀerential Equations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.357819Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation a65572c2-c10f-41c2-829c-9716d7328a0b · outbound

This paper cites Michael Kielstra and Michael Lindsey.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Michael Kielstra and Michael Lindsey

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.339180Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 1dc856e2-df49-4576-8047-be5eee031501 · outbound

This paper cites Adam: A method for stochas tic optimization.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Adam: A method for stochas tic optimization

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.319642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 20f3d1ce-f965-4b53-b358-60bf56fd8ae9 · outbound

This paper cites Approximate inference for fully bayesian gaussian process regression.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Approximate inference for fully bayesian gaussian process regression

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.302904Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation aeebfac2-23d4-43e3-8984-7c5c4644e0c8 · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 34

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.284428Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 16eac4ac-6e7d-4320-9aa6-d11d2a1320a4 · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 35

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.267894Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 852f874a-07d3-4904-84f3-d505450df52a · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 36

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.250622Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c2709f2c-fa64-47c9-9afb-60eef26c1378 · outbound

This paper cites Mahoney, N.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Mahoney, N

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.232642Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation da7894ad-0748-4fff-aaac-c9905bbe9952 · outbound

This paper cites Eﬃcient n atural gradient descent meth- ods for large-scale pde-based optimization problems.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Eﬃcient n atural gradient descent meth- ods for large-scale pde-based optimization problems

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.215960Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation dc63810b-3ee0-49ae-915a-a547c6f8a4f3 · outbound

This paper cites Raissi, P.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Raissi, P

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.198785Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 3e7f7121-f2bc-417f-b47d-93c80956f60a · outbound

This paper cites an unresolved cited work.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Unresolved cited work

Reference 40

Resolution: unresolved; raw_fallback, observed 2026-08-09T04:20:38.182914Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation ca4a5d42-5f27-4a0a-bc3a-ad07df6a2028 · outbound

This paper cites The Fokker-Planck Equation: Methods of Solution and Applica tions, volume 18 of Springer Series in Synergetics.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling The Fokker-Planck Equation: Methods of Solution and Applica tions, volume 18 of Springer Series in Synergetics

Reference 41

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.166994Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 23c9a4be-bbc2-4b5b-86ec-2e0a4719cdb1 · outbound

This paper cites Deep unsuper- vised learning using nonequilibrium thermodynamics.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Deep unsuper- vised learning using nonequilibrium thermodynamics

Reference 42

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.150243Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 771aa5fe-c559-4045-a996-a548c1186bf3 · outbound

This paper cites Score-based generative modeling through stocha stic diﬀerential equations.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Score-based generative modeling through stocha stic diﬀerential equations

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.131321Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation c65eaa5e-acbe-4261-9b7e-0e35e11614e6 · outbound

This paper cites Liouville ﬂow importance sampler.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Liouville ﬂow importance sampler

Reference 44

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.109306Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 7ae6204c-2f06-448a-b9ba-4f061ae58835 · outbound

This paper cites Tsitouras.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Tsitouras

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.087822Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 57873ca8-494f-45da-a9e1-b2c04820cbda · outbound

This paper cites Denoising diﬀusion samplers.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Denoising diﬀusion samplers

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.069755Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 63268364-2dce-424b-a40f-9bfb7384a88d · outbound

This paper cites Coupling parameter and particle dynamics for adaptive sampling in neural galerkin schemes.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Coupling parameter and particle dynamics for adaptive sampling in neural galerkin schemes

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.051312Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 0bec8a10-c582-4375-a0fb-d7a81ef656fb · outbound

This paper cites Stochastic normali zing ﬂows.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Stochastic normali zing ﬂows

Reference 48

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.027303Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Observation 569a5a3c-c709-4b7f-b193-2a458bdf16ff · outbound

This paper cites Sequential-in-time training of nonlinear parametrizations for solving time-d ependent partial diﬀerential equations, 2024.

MNE: overparametrized neural evolution with applications to diffusion processes and sampling Sequential-in-time training of nonlinear parametrizations for solving time-d ependent partial diﬀerential equations, 2024

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T04:20:38.006237Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

Pith citing papers

Observation 9cd5efba-7882-4e0c-b8df-32ff56fc9a0e · inbound

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach cites this paper.

Solving Inverse Problems via Diffusion-Based Priors: An Approximation-Free Ensemble Sampling Approach MNE: overparametrized neural evolution with applications to diffusion processes and sampling

Reference 137

Resolution: unresolved; no resolver link, observed 2026-08-07T10:54:50.137596Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation dddd8d9c-7b8b-446b-89f7-87a95f62016c · inbound

Simulating Fokker-Planck equations via mean field control of score-based normalizing flows cites this paper.

Simulating Fokker-Planck equations via mean field control of score-based normalizing flows MNE: overparametrized neural evolution with applications to diffusion processes and sampling

Reference 10

Resolution: verified exact; local_arxiv, observed 2026-08-07T10:19:47.224564Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.