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Paper Citation Record · LEDGER

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics

As of 9 August 2026, this Paper Citation Record lists 30 of 30 outbound references and 2 inbound Pith citation observations for arXiv:2509.08191.

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

pith.paper-citation-record.v1
2509.08191 v1

Coverage vector

measured 30 of 30 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T21:12:28.608382Z

measured 32 of 32 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 2026-05-21T16:22:33.484569Z

measured 1 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Reference resolution

30 of 30 outbound references displayed

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  • verified fuzzy4
  • unresolved26
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  • malformed identifier0
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External citation measurements

0
arxiv_reference, observed 2026-08-05T02:28:24.338817Z

Outbound references

Observation 3c1fcb04-85fe-421f-87ac-022f3932e307 · outbound

This paper cites Mfem: A modular finite element methods library.Computers & Mathematics with Applications, 81:42–74, 2021.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Mfem: A modular finite element methods library.Computers & Mathematics with Applications, 81:42–74, 2021

Reference 1

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Observation 13b28a35-d7a6-4bc1-a951-48ce402a9fe9 · outbound

This paper cites mLaSDI: Multi-stage latent space dynamics identification.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics mLaSDI: Multi-stage latent space dynamics identification

Reference 2

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source=pdf_text observed=2026-08-04T21:12:28.492615Z digest=sha256:276b237bb77b62b0f187ed9f19a3993873bcf42620007bdab9c53950d45bb81b

Observation 001f9c0e-d84a-402a-8423-c6780ee217d3 · outbound

This paper cites High- performance finite elements with mfem.The International Journal of High Performance Computing Applications, 38(5):447–467, 2024.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics High- performance finite elements with mfem.The International Journal of High Performance Computing Applications, 38(5):447–467, 2024

Reference 3

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Source-reported events for the cited work

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

source=pdf_text observed=2026-08-04T21:12:28.497384Z digest=sha256:b8e3647c0cd12f4a6040beaae24ac2428c838e802f21eb890c7c5d306bcdd36f

Observation c0458b4d-fee6-4d7e-bdf0-863edc5ca90c · outbound

This paper cites The proper orthogonal decomposition in the analysis of turbulent flows.Annual review of fluid mechanics, 25(1):539–575, 1993.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics The proper orthogonal decomposition in the analysis of turbulent flows.Annual review of fluid mechanics, 25(1):539–575, 1993

Reference 4

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source=pdf_text observed=2026-08-04T21:12:28.501796Z digest=sha256:cc0c84fb3c6ccd903e229bdc7cb65aea48761caba7c0bf58c19dd7b8a353235a

Observation 173c645c-1bb1-4c24-95db-f9a1d2528a92 · outbound

This paper cites Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Data-Driven Autoencoder Numerical Solver with Uncertainty Quantification for Fast Physical Simulations

Reference 5

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source=pdf_text observed=2026-08-04T21:12:28.506544Z digest=sha256:695ee8c622c647c74cbc84e0124cec3f04e3aa49245d36cc2935223ce7031d66

Observation 32725224-9f70-49eb-abbd-f436114ca742 · outbound

This paper cites an unresolved cited work.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Unresolved cited work

Reference 6

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

source=pdf_text observed=2026-08-04T21:12:28.510853Z digest=sha256:3791c7290252a33308588723735d2b68245483322185192b7d66df26042ae075

Observation 83837936-b349-4ff3-b20c-b440fc40ec93 · outbound

This paper cites A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics A Comprehensive Review of Latent Space Dynamics Identification Algorithms for Intrusive and Non-Intrusive Reduced-Order-Modeling

Reference 7

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source=pdf_text observed=2026-08-04T21:12:28.515547Z digest=sha256:0f7deb7b9a6ae6243662c77edaf3d65e829dc3be0b4fe6cf8d7a62d30a03779b

Observation 3292f5e3-72e3-411a-a3bf-dd5f9a2a2427 · outbound

This paper cites Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Language models are few-shot learners.Advances in neural information processing systems, 33:1877–1901, 2020

Reference 8

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source=pdf_text observed=2026-08-04T21:12:28.520517Z digest=sha256:6017556ccc7b0266a3ca3adaed27f27e1b9679995a7c680efe197b64215bc59a

Observation f0ce8d4a-4212-4a5c-a111-e9a3cf434b4c · outbound

This paper cites Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Discovering governing equations from data by sparse identification of nonlinear dynamical systems.Proceedings of the national academy of sciences, 113(15):3932–3937, 2016

Reference 9

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source=pdf_text observed=2026-08-04T21:12:28.524649Z digest=sha256:5a4f2cc6aa0d277d47559f7a94ed6c30f394de383320384f76963e56fe538e94

Observation c899659c-fc0a-4183-9408-48ffc06b96c8 · outbound

This paper cites Numerical analysis, brooks, 1997.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Numerical analysis, brooks, 1997

Reference 10

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source=pdf_text observed=2026-08-04T21:12:28.528660Z digest=sha256:949c190e80b42a38190f48a55983d66130adc85e8b477ace1e73021bf3353841

Observation 31971bc8-a5a0-4d54-bd6f-27c54e7b540a · outbound

This paper cites Data-driven discovery of coordinates and governing equations.Proceedings of the National Academy of Sciences, 116(45):22445–22451, 2019.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Data-driven discovery of coordinates and governing equations.Proceedings of the National Academy of Sciences, 116(45):22445–22451, 2019

Reference 11

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source=pdf_text observed=2026-08-04T21:12:28.532745Z digest=sha256:3d51381f534cf820f0ae560fa136fb8392f21fcb6a88ba3e4ef33268f413020b

Observation 80e0c7b5-1973-4758-988a-972706c7a19a · outbound

This paper cites Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Latent Space Dynamics Identification for Interface Tracking with Application to Shock-Induced Pore Collapse

Reference 12

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source=pdf_text observed=2026-08-04T21:12:28.536680Z digest=sha256:cc83266762fd3c9cade30116f23d2bef5885c3021dddefdbb1e8d477d0cdb541

Observation c667a6ed-2904-40ba-a252-0e5a46377137 · outbound

This paper cites LaSDI: Parametric latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 399:115436, 2022.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics LaSDI: Parametric latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 399:115436, 2022

Reference 13

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

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Observation 0feb93e9-5832-4a37-ba6d-3096a3245417 · outbound

This paper cites an unresolved cited work.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Unresolved cited work

Reference 14

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

source=pdf_text observed=2026-08-04T21:12:28.544833Z digest=sha256:3adcfdbf103b7a7c66d3a8be1707a43eefd4b4a92f8567b4d55e86f56fac1b4b

Observation 839a6b7d-44cb-4eb1-a869-3cb5d24273be · outbound

This paper cites Deep residual learning for image recognition.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Deep residual learning for image recognition

Reference 15

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source=pdf_text observed=2026-08-04T21:12:28.548766Z digest=sha256:0d3072d975acd604f09576ea3ed65029c4f27cdee9de4a71389adbbc5fa603b6

Observation 386d0862-c28d-4ac2-96ac-c12d278007eb · outbound

This paper cites gLaSDI: Parametric physics-informed greedy latent space dynamics identification.Journal of Computational Physics, 489:112267, 2023.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics gLaSDI: Parametric physics-informed greedy latent space dynamics identification.Journal of Computational Physics, 489:112267, 2023

Reference 16

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source=pdf_text observed=2026-08-04T21:12:28.552786Z digest=sha256:bee200c376abeab168131ea2e7e7ac6641add261de32548f0d0b71ad01d5925f

Observation 0af102c3-cc4e-405d-9ef3-ea416d2f09ec · outbound

This paper cites Physics-informed active learning with simultaneous weak-form latent space dynamics identification.International Journal for Numerical Methods in Engineering, 126(1):e7634, 2025.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Physics-informed active learning with simultaneous weak-form latent space dynamics identification.International Journal for Numerical Methods in Engineering, 126(1):e7634, 2025

Reference 17

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source=pdf_text observed=2026-08-04T21:12:28.556937Z digest=sha256:221a4f1e40d5baa52315a33d84bbc5f962a2d0bf63dc771d6ff1e58203b9b96b

Observation c40a33cc-1dc0-4278-8cfa-e6fbbc218cc9 · outbound

This paper cites Openfoam: A c++ library for complex physics simulations.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Openfoam: A c++ library for complex physics simulations

Reference 18

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source=pdf_text observed=2026-08-04T21:12:28.560922Z digest=sha256:3e7f322f47311ad51b8a54e3f92631403cc8ab5d34fd1c02c382ed6717b04d5a

Observation 347f02a8-5647-4b22-86a6-3108cf5cc824 · outbound

This paper cites Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.Proceedings of the Royal Society A, 474 (2219):20180335, 2018.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Sparse identification of nonlinear dynamics for model predictive control in the low-data limit.Proceedings of the Royal Society A, 474 (2219):20180335, 2018

Reference 19

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Observation 82a50986-5e00-4a86-840d-ff4e25c22b60 · outbound

This paper cites Adam: A Method for Stochastic Optimization.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Adam: A Method for Stochastic Optimization

Reference 20

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source=pdf_text observed=2026-08-04T21:12:28.568561Z digest=sha256:daf761f5f16547745913d1ab65da584533089337244f3db92cb8b448424441cb

Observation c30693fa-c0c8-4781-86dd-163b5d3a990b · outbound

This paper cites Imagenet classification with deep convolutional neural networks.Communications of the ACM, 60(6):84–90, 2017.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Imagenet classification with deep convolutional neural networks.Communications of the ACM, 60(6):84–90, 2017

Reference 21

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source=pdf_text observed=2026-08-04T21:12:28.572951Z digest=sha256:19c274fd84b95bd488fc40f8db1245c208e3609934c891e5abccd3d5ef1e676e

Observation 8e2d84a0-f380-4325-a6e6-4d2c119ce85e · outbound

This paper cites tlasdi: Thermodynamics-informed latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 429:117144, 2024.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics tlasdi: Thermodynamics-informed latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 429:117144, 2024

Reference 22

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Observation 000ccf96-aace-4b12-a512-b0bdba36eb5b · outbound

This paper cites Universal Differential Equations for Scientific Machine Learning.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Universal Differential Equations for Scientific Machine Learning

Reference 23

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source=pdf_text observed=2026-08-04T21:12:28.580529Z digest=sha256:93989ff41ce44137f4bee9a74f27a5cc88a4c9f550112bdebf80c85d497861d1

Observation 3f57ee29-4a63-4db1-bb06-cd5a1f0a08e2 · outbound

This paper cites an unresolved cited work.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Unresolved cited work

Reference 24

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source=pdf_text observed=2026-08-04T21:12:28.584505Z digest=sha256:c4562c96b9f0915319f43f25ccc47bf740aab3d750554835d71141cb85c39832

Observation fa240721-41a0-4007-b6e2-bd9a6b79d0f6 · outbound

This paper cites Gaussian processes in machine learning.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Gaussian processes in machine learning

Reference 25

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source=pdf_text observed=2026-08-04T21:12:28.589259Z digest=sha256:8122ac3408f55f890a77a65e4bd28e360be728b2610654fe94d378bfe555171b

Observation 82db3550-ec9c-4034-8f9b-4173075ce439 · outbound

This paper cites Data-driven discovery of partial differential equations.Science advances, 3(4):e1602614, 2017.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Data-driven discovery of partial differential equations.Science advances, 3(4):e1602614, 2017

Reference 26

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source=pdf_text observed=2026-08-04T21:12:28.592865Z digest=sha256:f46e9753b8d60fa544eeac11104dbe9ef555f06c57359d8e6a57018cdcb6654a

Observation 75111b7a-01ec-4607-a361-045ec5906c5a · outbound

This paper cites Dynamic mode decomposition of numerical and experimental data.Journal of fluid mechanics, 656:5–28, 2010.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Dynamic mode decomposition of numerical and experimental data.Journal of fluid mechanics, 656:5–28, 2010

Reference 27

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source=pdf_text observed=2026-08-04T21:12:28.596543Z digest=sha256:f637f117d193f3c92198b3cfb8d8c7ed90355bc533043fb3a369880a73326d85

Observation da9a1585-d1c3-43ff-bcec-18f10e261b39 · outbound

This paper cites Cambridge university press, 2007.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Cambridge university press, 2007

Reference 28

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source=pdf_text observed=2026-08-04T21:12:28.600340Z digest=sha256:8fbfa1ba8bb359d1522b35b8d34a5599aba43a26f6605d5aeec793cb1a233a61

Observation 8d3b368e-01e6-484f-b6ad-3fd8850b1d06 · outbound

This paper cites Weak-form latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 427:116998, 2024.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Weak-form latent space dynamics identification.Computer Methods in Applied Mechanics and Engineering, 427:116998, 2024

Reference 29

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source=pdf_text observed=2026-08-04T21:12:28.604414Z digest=sha256:c836d92e2a085478fc1ad042d76e5e01ee8d76a3063728989bc623ebb95eb221

Observation e51bfb4a-d5e7-4c28-b406-2172fbabbb8d · outbound

This paper cites Attention is all you need.Advances in neural information processing systems, 30, 2017.

Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics Attention is all you need.Advances in neural information processing systems, 30, 2017

Reference 30

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source=pdf_text observed=2026-08-04T21:12:28.608382Z digest=sha256:8e69419296bf93450ce8d107904cf56cf106fc11acc1bd6325e7ecc8cebb056b

Pith citing papers

Observation 67ad3250-bc8d-4068-815e-79fbe2ce1dab · inbound

Higher-Order LaSDI: Reduced Order Modeling with Multiple Time Derivatives cites this paper.

Higher-Order LaSDI: Reduced Order Modeling with Multiple Time Derivatives Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics

Reference 45

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arxiv_id, observed 2026-05-21T16:24:15.839952Z

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

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Observation 702e891d-e4e6-4ec0-9ee6-49e6fe0745f1 · inbound

Time-Dependent PDE-Constrained Optimization via Weak-Form Latent Dynamics cites this paper.

Time-Dependent PDE-Constrained Optimization via Weak-Form Latent Dynamics Rollout-LaSDI: Enhancing the long-term accuracy of Latent Space Dynamics

Reference 25

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arxiv_id, observed 2026-05-21T04:29:33.835654Z

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

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