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Paper Citation Record · LEDGER

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

As of 22 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 2026-08-22T06:32:14.747728+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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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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source=pdf_text observed=2026-08-04T21:12:28.487876Z digest=sha256:ae59f950525ed059c43a57819e5680c098ceabe2fe2878232b937f9c3ab3818c

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=sha256:9ffc949897502bb99f386b3f8e208de4107dcee6cc2315528383aefd6ebc4b92

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

source=pdf_text observed=2026-08-04T21:12:28.497384Z digest=sha256:a57b09f53d52eb68277e8bd09381cffb675b7cfb743c14ecea46b9fe20fa1d3b

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=sha256:390c896e61e08b42f2c83c5f365a5afe72cca2830965fb19ab5aff7a96e3eff6

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=sha256:354cf23d4bee46a889a02fcebd7165a5310e766482dc8c95e1126412b5cffc25

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T21:12:28.510853Z digest=sha256:fba7684cfae54fc4746459216bdcec46d5c96685674b0d2675ac529da3d335e5

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=sha256:680bdb41655c3e79c2ac45c8b210051fe63b3161272f85cf9f96b183df18d7f6

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=sha256:130a49b8b574f41e50edd55fde48e269fb436177ec1d3dffaec08daa28b163f3

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=sha256:5b4120e94758ca8a816d517ea36d0e93b98fcd3f08eb40998c07147236d00822

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:e83141ef6982140deff0f9dc05075c12d091d7acdc002a6a8be9f23050578a2a

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=sha256:596b90e046e19189638b3fd157f4484b2d16e4f8a0a5ebc86c17f792bb94901c

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:ac75ffa7a119cba69c5e5ba47db3b57fee9d63d337eaf29df61f937a8939bcf8

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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source=pdf_text observed=2026-08-04T21:12:28.541071Z digest=sha256:ab019c7d4b7da21dac4f5050bed7b23f6032d619cca4e609c99d06d14336b13e

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 2026-08-22T06:32:14.747728+00:00.

source=pdf_text observed=2026-08-04T21:12:28.544833Z digest=sha256:7f5f5ebd64bff80e2a4680f4db8c543d259db3f320df7d70f13859926af4496f

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=sha256:91af0b2d2d1aeceee8ff4ed0a8871b870bd1cbfc912675ea99aa90e48d8a770e

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=sha256:0a94d99f8c8c3c195084fd534556da7e882d0f10ebcda83feedb2079f1b0562e

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:fac2f342be2df6ee0fe9ff326d910aebe2bca98fce6f8b4b373f08cf7363dc0c

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:d5171a6b39c37928facc1a0bfff341aac0aa5ff609bc84e6c1c5172480837a5e

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=sha256:0e60e612ab32ffee92ab4045e243b688e3f916ebfd36aec7dc046a9c187cedde

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:d8baddc709471b23ab4beae0d0edf9593b13441b7b97f80f932eb360ea754558

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=sha256:46a6f28f284090b8f7b55a05b62faecdafd3d79031ce8f478bc2ad10a7f3d98f

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=sha256:563f53375f5951db9dfe6d8916d9fe3c70e92736459aa25cb5fe5b05a32352be

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=sha256:0ba724e1b625399b318d8c1acc0218ffc824c5e2e9b5be90772b83b16484f1a8

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:c6f2822010c3188a641f5f21ab1e565ccbb14acbcdd2b7e16a732fb770a13515

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=sha256:055a0597f62f2bc74c7cc8cea8beb4304d8acac9b90290f37e17f44b53bf89db

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=sha256:2e00567e83d9a9cddd07221a1b309c03f8fa22640496d1e24d8cc8ef8a5693ec

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=sha256:2a3e1db30d997e0713d4092f8c780b39228d6c2cbf10e86067859bfb430f9caa

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=sha256:0a1a19be3f5d259a4545646830b8e7b273abf9fa2a5c320a3f6a2b79ee5b5c8a

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 2026-08-22T06:32:14.747728+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 2026-08-22T06:32:14.747728+00:00.

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