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Paper Citation Record · LEDGER

Generative Latent Space Dynamics of Electron Density

As of 19 August 2026, this Paper Citation Record lists 62 of 62 outbound references and 0 inbound Pith citation observations for arXiv:2509.00169.

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

pith.paper-citation-record.v1
2509.00169 v1

Coverage vector

measured 62 of 62 reference resolution

Typed states for the displayed outbound observations.

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measured 62 of 62 standing notices

One-hop event checks from named stored sources.

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measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

62 of 62 outbound references displayed

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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 2c9051fd-d3ce-41a3-9db9-8f65c67c4262 · outbound

This paper cites Accuracy of charge densities in electronic structure calculations.

Generative Latent Space Dynamics of Electron Density Accuracy of charge densities in electronic structure calculations

Reference 1

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Observation 7bf7f4b8-d231-4403-b04a-6de9585bf1a3 · outbound

This paper cites Convergence acceleration of iterative sequences.

Generative Latent Space Dynamics of Electron Density Convergence acceleration of iterative sequences

Reference 2

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Observation 7a2d8e7c-dd76-45df-b8b7-36af5b41079c · outbound

This paper cites A class of methods for solving nonlinear simultaneous equations.

Generative Latent Space Dynamics of Electron Density A class of methods for solving nonlinear simultaneous equations

Reference 3

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Observation f0073742-ccb0-4e4f-a768-46ed2229e842 · outbound

This paper cites Accelerating self-consistent field iterations in kohn-sham density functional theory using a low-rank approximation of the dielectric matrix.

Generative Latent Space Dynamics of Electron Density Accelerating self-consistent field iterations in kohn-sham density functional theory using a low-rank approximation of the dielectric matrix

Reference 4

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Observation cd251d88-ba42-437a-8038-48245de1e147 · outbound

This paper cites A recipe for charge density prediction.

Generative Latent Space Dynamics of Electron Density A recipe for charge density prediction

Reference 5

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Observation 47f9285e-4364-43cd-b9fd-27d89599361e · outbound

This paper cites Higher-order equivariant neural networks for charge density prediction in materials.

Generative Latent Space Dynamics of Electron Density Higher-order equivariant neural networks for charge density prediction in materials

Reference 6

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Observation eda97d85-a120-41a4-b75b-853d739c729f · outbound

This paper cites Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids.

Generative Latent Space Dynamics of Electron Density Equivariant graph neural networks for fast electron density estimation of molecules, liquids, and solids

Reference 7

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Observation 591477a3-2111-4b23-8a15-c8b6e27de0c2 · outbound

This paper cites DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction.

Generative Latent Space Dynamics of Electron Density DeepDFT: Neural Message Passing Network for Accurate Charge Density Prediction

Reference 8

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Source-reported events for the cited work

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Observation 4c08a690-d5c3-44dd-9a27-373288a5c2bd · outbound

This paper cites Machine learning electron density prediction using weighted smooth overlap of atomic positions.

Generative Latent Space Dynamics of Electron Density Machine learning electron density prediction using weighted smooth overlap of atomic positions

Reference 9

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2594299d-e21a-4694-a1f0-1ac55f543484 · outbound

This paper cites Image super-resolution inspired electron density prediction.

Generative Latent Space Dynamics of Electron Density Image super-resolution inspired electron density prediction

Reference 10

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Source-reported events for the cited work

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Observation 25f9b147-96a5-415e-b271-4f184028d432 · outbound

This paper cites High- resolution image synthesis with latent diffusion models.

Generative Latent Space Dynamics of Electron Density High- resolution image synthesis with latent diffusion models

Reference 11

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Observation 9a9ab148-667e-41c1-8475-c8df446b3454 · outbound

This paper cites Gpaw: An open python package for electronic structure calculations.

Generative Latent Space Dynamics of Electron Density Gpaw: An open python package for electronic structure calculations

Reference 12

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Source-reported events for the cited work

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Observation 50eb98e2-7109-41c1-9ef6-e578566d036f · outbound

This paper cites The atomic simulation environment—a python library for working with atoms.

Generative Latent Space Dynamics of Electron Density The atomic simulation environment—a python library for working with atoms

Reference 13

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Source-reported events for the cited work

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Observation f624ecd0-549a-4a6e-ae4d-90c60f98e8fc · outbound

This paper cites Projector augmented-wave method.

Generative Latent Space Dynamics of Electron Density Projector augmented-wave method

Reference 14

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Observation 73013e73-92df-413b-854b-a7e582e8acae · outbound

This paper cites Real-space grid implementation of the projector augmented wave method.

Generative Latent Space Dynamics of Electron Density Real-space grid implementation of the projector augmented wave method

Reference 15

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Source-reported events for the cited work

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Observation 4c0aa2be-1aaf-4e71-9d8a-f1afab1c2e3b · outbound

This paper cites Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position.

Generative Latent Space Dynamics of Electron Density Neocognitron: A self-organizing neural network model for a mechanism of pattern recognition unaffected by shift in position

Reference 16

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Observation 4c579be5-aab2-4630-a8c5-d4f8cde9810c · outbound

This paper cites Gradient-based learning applied to document recognition.

Generative Latent Space Dynamics of Electron Density Gradient-based learning applied to document recognition

Reference 17

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Source-reported events for the cited work

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Observation 5318b940-9fd2-437e-9e60-dff5b89000fb · outbound

This paper cites Imagenet classification with deep convolutional neural networks.

Generative Latent Space Dynamics of Electron Density Imagenet classification with deep convolutional neural networks

Reference 18

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Source-reported events for the cited work

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Observation 181ce248-2192-4b52-81cd-255d2503f2e5 · outbound

This paper cites Deep Residual Learning for Image Recognition.

Generative Latent Space Dynamics of Electron Density Deep Residual Learning for Image Recognition

Reference 19

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Source-reported events for the cited work

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Observation 4804ef03-652f-4cb6-bb3c-194348ca4571 · outbound

This paper cites Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs).

Generative Latent Space Dynamics of Electron Density Fast and Accurate Deep Network Learning by Exponential Linear Units (ELUs)

Reference 20

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Observation 682a5c3f-008f-4b4c-8dbb-71240fc84b2e · outbound

This paper cites Denoising diffusion probabilistic models.

Generative Latent Space Dynamics of Electron Density Denoising diffusion probabilistic models

Reference 21

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Source-reported events for the cited work

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Observation 628fd616-c0d2-4dac-843a-651fae66a7ee · outbound

This paper cites Generative modeling by estimating gradients of the data distribution.

Generative Latent Space Dynamics of Electron Density Generative modeling by estimating gradients of the data distribution

Reference 22

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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Observation 75036b3f-a37c-4923-88f3-3e2947bc8c1c · outbound

This paper cites Generalized jensen-shannon divergence loss for learning with noisy labels.

Generative Latent Space Dynamics of Electron Density Generalized jensen-shannon divergence loss for learning with noisy labels

Reference 23

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Observation ff987006-04ea-43c1-af32-30879a6ff2c0 · outbound

This paper cites Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code.

Generative Latent Space Dynamics of Electron Density Efficient space–time reduced order model for linear dynamical systems in python using less than 120 lines of code

Reference 24

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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 16f43668-e3f1-47c7-9ffc-376353adc09c · outbound

This paper cites Component-wise reduced order model lattice-type structure design.

Generative Latent Space Dynamics of Electron Density Component-wise reduced order model lattice-type structure design

Reference 25

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Observation e686b4a0-4148-457d-9cfb-2e6076587eda · outbound

This paper cites Gradient-based constrained optimization using a database of linear reduced-order models.

Generative Latent Space Dynamics of Electron Density Gradient-based constrained optimization using a database of linear reduced-order models

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation f6d13e75-3ac4-4663-8985-4f643db8ecd0 · outbound

This paper cites Space–time least-squares petrov–galerkin projection for nonlinear model reduction.

Generative Latent Space Dynamics of Electron Density Space–time least-squares petrov–galerkin projection for nonlinear model reduction

Reference 27

Resolution
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No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5a799b84-6f49-4829-89d6-9a5e6faf7358 · outbound

This paper cites Reduced order models for lagrangian hydrodynamics.

Generative Latent Space Dynamics of Electron Density Reduced order models for lagrangian hydrodynamics

Reference 28

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 9c0af5b6-e88c-4a5a-a489-f23b5d858cfd · outbound

This paper cites Space–time reduced order model for large-scale linear dynamical systems with application to boltzmann transport problems.

Generative Latent Space Dynamics of Electron Density Space–time reduced order model for large-scale linear dynamical systems with application to boltzmann transport problems

Reference 29

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 5667111d-15fd-44c2-b3e5-85758e0794b6 · outbound

This paper cites Sns: A solution-based nonlinear subspace method for time-dependent model order reduction.

Generative Latent Space Dynamics of Electron Density Sns: A solution-based nonlinear subspace method for time-dependent model order reduction

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 6fb4ac0e-9846-420e-95e7-7fe0754f9d6d · outbound

This paper cites S-opt: A points selection algorithm for hyper-reduction in reduced order models.

Generative Latent Space Dynamics of Electron Density S-opt: A points selection algorithm for hyper-reduction in reduced order models

Reference 31

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 0492de19-5375-4767-bfae-0dfbd3befe0c · outbound

This paper cites Local la- grangian reduced-order modeling for the rayleigh-taylor instability by solution manifold decom- position.

Generative Latent Space Dynamics of Electron Density Local la- grangian reduced-order modeling for the rayleigh-taylor instability by solution manifold decom- position

Reference 32

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 912ccc7d-8fd1-42ce-9d56-5e5c1b0792a6 · outbound

This paper cites Multidimensional scaling.

Generative Latent Space Dynamics of Electron Density Multidimensional scaling

Reference 33

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 2484375b-5ce4-425e-9ba0-699f75303905 · outbound

This paper cites A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder.

Generative Latent Space Dynamics of Electron Density A fast and accurate physics-informed neural network reduced order model with shallow masked autoencoder

Reference 34

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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Observation 71cfea65-bbd9-4f1a-979e-b82ffb6c2c4a · outbound

This paper cites A fast and accurate do- main decomposition nonlinear manifold reduced order model.

Generative Latent Space Dynamics of Electron Density A fast and accurate do- main decomposition nonlinear manifold reduced order model

Reference 35

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.369770Z digest=sha256:4059df7e998891fe2ce16ceb82b1aee6dbbd1dfff7856f47fcbb516609adda09

Observation ce69f6ba-bdbc-4378-bcbf-8db3f30ab5fd · outbound

This paper cites Lasdi: Parametric latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Lasdi: Parametric latent space dynamics identification

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:15.056073Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.479955Z digest=sha256:dfb7cf6531c747f2706d9b3e6aca8bafe50f1a29ed949358929077a7b576e20f

Observation a460c4b1-b464-4b18-84b6-bc5d72a22684 · outbound

This paper cites glasdi: Parametric physics-informed greedy latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density glasdi: Parametric physics-informed greedy latent space dynamics identification

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:14.911037Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.550351Z digest=sha256:3e3cc8f789e69f92ce04adab1d30048250c0881d800ebd6eb4fdfa83a6572e2d

Observation a0c98e7b-2f0a-49fb-ad53-71c7b9a0b706 · outbound

This paper cites Gplasdi: Gaus- sian process-based interpretable latent space dynamics identification through deep autoencoder.

Generative Latent Space Dynamics of Electron Density Gplasdi: Gaus- sian process-based interpretable latent space dynamics identification through deep autoencoder

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:14.720133Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.657856Z digest=sha256:87e31fcc2f5592fd4fb4350675171d03b6a01825a830618149eca95b7a5d5955

Observation ceb458e0-55ba-4ac3-9ae6-4e04d6efff6e · outbound

This paper cites Weak-form latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Weak-form latent space dynamics identification

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:14.530854Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.774114Z digest=sha256:ade4085bd4963c46a606874eb06b8e8a2aeaed8069b1dd5591bc920af94fbd1a

Observation e2cfccec-9640-4362-94bb-78d98b1afc6c · outbound

This paper cites tlasdi: Thermodynamics-informed latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density tlasdi: Thermodynamics-informed latent space dynamics identification

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:14.339879Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.847215Z digest=sha256:65bbd35cfff978078aa49ff12a2bde21b2834ebeeed69d5479abb2ace6fff50b

Observation af796b8d-6c7c-4b54-b15c-3f0d9fa347c9 · outbound

This paper cites Physics-informed active learning with simultaneous weak-form latent space dynamics identification.

Generative Latent Space Dynamics of Electron Density Physics-informed active learning with simultaneous weak-form latent space dynamics identification

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:14.137480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:09.927429Z digest=sha256:8bb5116c17332654ce66b54edb29cddab56e01bf05bc4dbc37c1e2fe19bb479a

Observation bd926112-15d8-414b-9e26-f0d4bba84a9a · outbound

This paper cites an unresolved cited work.

Generative Latent Space Dynamics of Electron Density Unresolved cited work

Reference 42

Resolution
unresolved
raw_fallback, observed 2026-08-05T14:00:13.983410Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:10.043895Z digest=sha256:f2c816820ce7dc148648412aec14acc5795049ff4c670ac168836af08acfdf82

Observation 3dc85c57-2743-45d1-8de8-6cf0ccc6ac03 · outbound

This paper cites A global geometric framework for nonlinear dimensionality reduction.

Generative Latent Space Dynamics of Electron Density A global geometric framework for nonlinear dimensionality reduction

Reference 43

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.141766Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.141766Z digest=sha256:5cfcbd0737cbce877ea42d6f5e957480183ea53ea2b33234c3ad7bc4599b6434

Observation c9719214-29ff-4450-9cba-b887a638c341 · outbound

This paper cites Manifold learning: What, how, and why.

Generative Latent Space Dynamics of Electron Density Manifold learning: What, how, and why

Reference 44

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:13.832815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:10.259894Z digest=sha256:53029f52947cbde6b11f0cf5747d71c348f873e3fda88fc92b2c8fd1896f1585

Observation 3d49aa45-3d6f-43ba-8ea0-dfdef94dd9a6 · outbound

This paper cites Fourier Neural Operator for Parametric Partial Differential Equations.

Generative Latent Space Dynamics of Electron Density Fourier Neural Operator for Parametric Partial Differential Equations

Reference 45

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.381883Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.381883Z digest=sha256:2fa9d09e4477c8b2ebbc22db9bac37c1ef1e40681b79b7523d1702cecfe363ef

Observation 2574111f-2b36-469d-80cd-1f2213aa1c97 · outbound

This paper cites Factorized Fourier Neural Operators.

Generative Latent Space Dynamics of Electron Density Factorized Fourier Neural Operators

Reference 46

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.478711Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.478711Z digest=sha256:20b2a2784caee97a6750ff9d9659cc633059f9cc95ebb61425d0997b27c20f61

Observation a029701e-e58e-4510-99d4-5e44baab06ae · outbound

This paper cites DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators.

Generative Latent Space Dynamics of Electron Density DeepONet: Learning nonlinear operators for identifying differential equations based on the universal approximation theorem of operators

Reference 47

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.555383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.555383Z digest=sha256:93c0f2e632d27c91980595f7b8789f1704287b93c593d8b1aa462304198acc9e

Observation 0af15249-29d2-4d04-b2a2-3058963c53d5 · outbound

This paper cites DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction.

Generative Latent Space Dynamics of Electron Density DISCO: learning to DISCover an evolution Operator for multi-physics-agnostic prediction

Reference 48

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.612033Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.612033Z digest=sha256:827b92625d3c0d2e97fcb7e14d2855dcd228b73d871d4f14a853086533eee57c

Observation d2bc1676-ec42-446d-a70d-5fa9885c3ebf · outbound

This paper cites Hamiltonian systems and transformation in hilbert space.

Generative Latent Space Dynamics of Electron Density Hamiltonian systems and transformation in hilbert space

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:13.665082Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:10.723409Z digest=sha256:f4dc498520985e1dc081d5f5b80c126cf5c7742f450337a82d9cec0fdfdc5203

Observation a7f85885-f0bc-4ab2-b13b-a0ed01c68f32 · outbound

This paper cites Score dynamics: Scaling molecular dynamics with picoseconds time steps via conditional diffusion model.

Generative Latent Space Dynamics of Electron Density Score dynamics: Scaling molecular dynamics with picoseconds time steps via conditional diffusion model

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:13.504003Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:10.799665Z digest=sha256:fc56426270be84dc05ec3e9ebe928026462794101cf8e706f8b5cdf87a9c46cc

Observation 86d2c484-1598-4752-9441-8ce36c2b2123 · outbound

This paper cites Lost in latent space: An empirical study of latent diffusion models for physics emulation.

Generative Latent Space Dynamics of Electron Density Lost in latent space: An empirical study of latent diffusion models for physics emulation

Reference 51

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.884698Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.884698Z digest=sha256:b7f6b863a9b3828bdc3969394eb2c21c6ef66094f928a7ff2085dc77abe77be0

Observation 9617568b-93c2-4587-be83-1f423d209acf · outbound

This paper cites Neural ordinary differential equations.

Generative Latent Space Dynamics of Electron Density Neural ordinary differential equations

Reference 52

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:10.992284Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:10.992284Z digest=sha256:8a991d93700352887d07cf363bf7b40e790e42ae18175dc177adec56f1dde9a6

Observation 3100adce-ae28-4db3-9c6f-4b8f1aab3c06 · outbound

This paper cites Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations.

Generative Latent Space Dynamics of Electron Density Physics-informed neural networks: A deep learning framework for solving forward and inverse problems involving nonlinear partial differential equations

Reference 53

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:11.058150Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:11.058150Z digest=sha256:c8f8e846d66fe0931da1e03d13573bb99f8ff7fa00976cde3ff28457f77d6566

Observation d9b755fa-e4b5-42da-b06c-7080c1b6cded · outbound

This paper cites Scientific machine learning through physics–informed neural networks: Where we are and what’s next.

Generative Latent Space Dynamics of Electron Density Scientific machine learning through physics–informed neural networks: Where we are and what’s next

Reference 54

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:11.109370Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:11.109370Z digest=sha256:7db5c443295bf92c516bd93894b7b2adcc7540b63f1a04763768483eea7a9909

Observation a5209de9-3abe-41ad-88d6-6a4c65cbdcef · outbound

This paper cites Fourcastnet: Accel- erating global high-resolution weather forecasting using adaptive fourier neural operators.

Generative Latent Space Dynamics of Electron Density Fourcastnet: Accel- erating global high-resolution weather forecasting using adaptive fourier neural operators

Reference 55

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:11.213946Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:11.213946Z digest=sha256:ebbc8edf9c9165d7713f4301d9983991cb5b2e2eacde0f1f56420ccaeecc19e3

Observation db758d35-eebe-4372-8114-35ce9c0926a3 · outbound

This paper cites A foundation model for atomistic materials chemistry.

Generative Latent Space Dynamics of Electron Density A foundation model for atomistic materials chemistry

Reference 56

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:11.317474Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:11.317474Z digest=sha256:9f7439003b7cc77a3f65751fa02add7146ed2c9921977e140bf6b1b6813fb243

Observation d238147c-b09e-46da-af26-4173f85e3525 · outbound

This paper cites Density-functional theory for time-dependent systems.

Generative Latent Space Dynamics of Electron Density Density-functional theory for time-dependent systems

Reference 57

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:13.084281Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:11.393189Z digest=sha256:b163b73841d5f3ec1c8863e9ae18db35e4c8cfe81fb3016bb44a3e55ae2b7219

Observation 120f71a6-d552-4a5d-8993-8caf90aaf726 · outbound

This paper cites The equation of motion coupled-cluster method.

Generative Latent Space Dynamics of Electron Density The equation of motion coupled-cluster method

Reference 58

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:12.931766Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:11.493629Z digest=sha256:cf5a0d93c6089684adbaa574b4b5de2571e8e97c67b7d0c6ef76b25d199ad118

Observation 1c0bdf54-7422-488e-8e91-33181d64dc9d · outbound

This paper cites Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations.

Generative Latent Space Dynamics of Electron Density Orbital-free density functional theory: An attractive electronic structure method for large-scale first-principles simulations

Reference 59

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:12.745076Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:11.581618Z digest=sha256:3e1e0fc45091203f630da9a8c4a7c5c811e036a0ae23aa5d8ab591d5c2909a14

Observation 69970ba1-ba5f-46b3-89fd-b1afa452bab9 · outbound

This paper cites An introduction to orbital-free density functional theory.

Generative Latent Space Dynamics of Electron Density An introduction to orbital-free density functional theory

Reference 60

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:12.562824Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:11.655922Z digest=sha256:f5b47b7b6c86a5397e17fef8571bc76116c70d8cb9bcf931df262a7f0506e01c

Observation 1d168719-0fc0-4689-b3f2-59f0774b93e8 · outbound

This paper cites Time-dependent orbital-free density functional theory: Background and pauli kernel approximations.

Generative Latent Space Dynamics of Electron Density Time-dependent orbital-free density functional theory: Background and pauli kernel approximations

Reference 61

Resolution
verified fuzzy
raw_fallback, observed 2026-08-05T14:00:12.383181Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

source=pdf_text observed=2026-08-05T14:00:11.732751Z digest=sha256:3acd81e51e3ffa1c7587f24ee0b674e23db29bcd3c3f6e0c2f87ccdf0d6bb8cb

Observation ae96ad7c-d16f-430c-89d4-5020dfd1a348 · outbound

This paper cites Defining Foundation Models for Computational Science: A Call for Clarity and Rigor.

Generative Latent Space Dynamics of Electron Density Defining Foundation Models for Computational Science: A Call for Clarity and Rigor

Reference 62

Resolution
unresolved
no resolver link, observed 2026-08-05T14:00:11.843976Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=pdf_text observed=2026-08-05T14:00:11.843976Z digest=sha256:8b4c2d335e5b678d4b0735bf20b0d6c112d0b5b87d57700529acb1f48c9b5b23

Pith citing papers

No inbound Pith citation observations are available.