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Paper Citation Record · LEDGER

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory

As of 8 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 0 inbound Pith citation observations for arXiv:2509.07264.

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

pith.paper-citation-record.v1
2509.07264 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-04T22:41:43.026472Z

measured 55 of 55 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.

Source: paper_references, paper_reference_links

measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

55 of 55 outbound references displayed

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External citation measurements

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Outbound references

Observation 4e1385e8-7d26-4143-94dc-dbee41da238d · outbound

This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 1

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Observation 5bf5a98b-de26-4aa2-a31e-817238b34cde · outbound

This paper cites Dalton, and Roland R.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Dalton, and Roland R

Reference 2

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Observation 7e75f0e3-70a6-487d-9a3f-22d4dabfa073 · outbound

This paper cites Numerical integration of the extended variable generalized Langevin equation with a positive Prony representable memory kernel.The Journal of chemical physics, 139(4):044107, 2013.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Numerical integration of the extended variable generalized Langevin equation with a positive Prony representable memory kernel.The Journal of chemical physics, 139(4):044107, 2013

Reference 3

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Observation 9ef95948-6ab6-4548-aed8-27988dece131 · outbound

This paper cites Canonical sampling through velocity rescaling.The Journal of Chemical Physics, 126(1), 2007.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Canonical sampling through velocity rescaling.The Journal of Chemical Physics, 126(1), 2007

Reference 4

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Observation 8bfb2a5f-d07e-4570-9a39-6ee5fb5c0b16 · outbound

This paper cites Langevin equation with colored noise for constant-temperature molecular dynamics simulations.Physical review letters, 102(2):020601, 2009.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Langevin equation with colored noise for constant-temperature molecular dynamics simulations.Physical review letters, 102(2):020601, 2009

Reference 5

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Observation 11940650-b2ce-4ece-9bef-c2d6e239c8ad · outbound

This paper cites Computation of the memory functions in the generalized Langevin models for collective dynamics of macromolecules.J.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Computation of the memory functions in the generalized Langevin models for collective dynamics of macromolecules.J

Reference 6

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Observation b45c53e4-2403-4fa8-b26d-eea83359015e · outbound

This paper cites Calculating free energies using average force.The Journal of Chemical Physics, 115(20):9169–9183, 2001.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Calculating free energies using average force.The Journal of Chemical Physics, 115(20):9169–9183, 2001

Reference 7

Resolution
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Observation c190ca93-0ef0-49c9-b61d-297dc9467c17 · outbound

This paper cites Computing generalized Langevin equations and generalized fokker-planck equations.Proc.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Computing generalized Langevin equations and generalized fokker-planck equations.Proc

Reference 8

Resolution
verified fuzzy
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Observation c3e291ac-8b2f-4662-a545-2bfd3c871528 · outbound

This paper cites The heterognous multiscale methods.Commun.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory The heterognous multiscale methods.Commun

Reference 9

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Observation 353d7763-7bb4-4d7b-b90d-8a366efc20f4 · outbound

This paper cites Het- erogeneous multiscale methods: A review.Communications in Computational Physics, 2(3):367–450, 2007.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Het- erogeneous multiscale methods: A review.Communications in Computational Physics, 2(3):367–450, 2007

Reference 10

Resolution
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Observation d0885680-6b45-437a-9292-236f30a79e7f · outbound

This paper cites Transition-path theory and path-finding algorithms for the study of rare events.Annual Review of Physical Chemistry, 61(1):391–420, 2010.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Transition-path theory and path-finding algorithms for the study of rare events.Annual Review of Physical Chemistry, 61(1):391–420, 2010

Reference 11

Resolution
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This paper cites Active learning based sampling for high-dimensional nonlinear partial differential equations.Journal of Computational Physics, 475:111848, 2023.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Active learning based sampling for high-dimensional nonlinear partial differential equations.Journal of Computational Physics, 475:111848, 2023

Reference 12

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Observation 4e5a3e12-569d-4dff-af81-620108c2e0f3 · outbound

This paper cites Failure-informed adaptive sampling for pinns.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Failure-informed adaptive sampling for pinns

Reference 13

Resolution
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Observation b4c1dc8b-e358-44a5-a29d-a7b2d908f0a6 · outbound

This paper cites Data-driven learning of the generalized langevin equation with state-dependent memory.Physical Review Letters, 133(7):077301, 2024.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Data-driven learning of the generalized langevin equation with state-dependent memory.Physical Review Letters, 133(7):077301, 2024

Reference 14

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Observation 13b3eaf2-4331-470a-a7db-8ddf147d2e9b · outbound

This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 15

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Observation 66ce9e0f-2e53-4cef-bf49-a8ba0a5208f5 · outbound

This paper cites Lincs: A linear constraint solver for molecular simulations.Journal of Computational Chemistry, 18(12):1463–1472, 1997.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Lincs: A linear constraint solver for molecular simulations.Journal of Computational Chemistry, 18(12):1463–1472, 1997

Reference 16

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Source-reported events for the cited work

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Observation 2b2552e7-86cb-4a4c-8582-98efa34e38e9 · outbound

This paper cites Mori– Zwanzig formalism as a practical computational tool.Faraday discuss., 144:301–322, 2010.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Mori– Zwanzig formalism as a practical computational tool.Faraday discuss., 144:301–322, 2010

Reference 17

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Observation 3b95b6fc-1d7c-4b19-a8bb-6c9d13e3e4c7 · outbound

This paper cites Comparison of multiple amber force fields and development of improved pro- tein backbone parameters.Proteins: Structure, Function, and Bioinformatics, 65(3):712– 725, 2006.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Comparison of multiple amber force fields and development of improved pro- tein backbone parameters.Proteins: Structure, Function, and Bioinformatics, 65(3):712– 725, 2006

Reference 18

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This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 19

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Observation b84cfa3d-3d84-4917-a9d0-bca7a4a6f270 · outbound

This paper cites Iterative reconstruction of memory kernels.Journal of Chemical Theory and Computation, 13(6):2481–2488, 2017.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Iterative reconstruction of memory kernels.Journal of Chemical Theory and Computation, 13(6):2481–2488, 2017

Reference 20

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Observation 7d698885-31ff-4aed-9e73-c7e708ebe0e8 · outbound

This paper cites Kevrekidis, C.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Kevrekidis, C

Reference 21

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This paper cites Kevrekidis and Giovanni Samaey.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Kevrekidis and Giovanni Samaey

Reference 22

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This paper cites Adam: A method for stochastic optimization.Interna- tional Conference on Learning Representations (ICLR), 12 2015.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Adam: A method for stochastic optimization.Interna- tional Conference on Learning Representations (ICLR), 12 2015

Reference 23

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This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 24

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Observation 9f330aff-ecb2-4ad8-8667-3f66e936a030 · outbound

This paper cites Rosenberg, Djamal Bouzida, Robert H.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Rosenberg, Djamal Bouzida, Robert H

Reference 25

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verified fuzzy
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Observation 1ec86d3c-ed95-4ada-8ff2-6220111a72af · outbound

This paper cites Escaping free-energy minima.Proceedings of the National Academy of Sciences, 99(20):12562–12566, 2002.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Escaping free-energy minima.Proceedings of the National Academy of Sciences, 99(20):12562–12566, 2002

Reference 26

Resolution
verified fuzzy
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This paper cites Collective Langevin dynamics of conformational motions in proteins.J.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Collective Langevin dynamics of conformational motions in proteins.J

Reference 27

Resolution
verified fuzzy
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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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This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 28

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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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This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 29

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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 4d902d2e-2449-4c86-942f-4cc0b45fc624 · outbound

This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 30

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Observation 3e079638-2681-4059-8d3a-63694db392c0 · outbound

This paper cites Incorporation of memory ef- fects in coarse-grained modeling via the Mori-Zwanzig formalism.The Journal of chemical physics, 143(24):243128, 2015.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Incorporation of memory ef- fects in coarse-grained modeling via the Mori-Zwanzig formalism.The Journal of chemical physics, 143(24):243128, 2015

Reference 31

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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 b5164fc8-4a7d-4eaf-b697-e13bd29ef935 · outbound

This paper cites Gromacs 2019.2 source code, April 2019.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Gromacs 2019.2 source code, April 2019

Reference 32

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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 d153a95e-8f59-40a6-b62d-07ac3a8f2fab · outbound

This paper cites Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Consensus-based adaptive sampling and approximation for high-dimensional energy landscapes

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Resolution
verified exact
local_arxiv, observed 2026-08-04T22:41:43.112577Z

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=2026-08-04T22:41:42.938011Z digest=sha256:7bc40e922fba662af53b1b4951d3c0a7cd5c959e40d3a20afa61d2b0ff429214

Observation 8f0dddf9-25be-4789-8866-1b154a1af601 · outbound

This paper cites Construction of coarse-grained molecular dynamics with many- body non-markovian memory.Physical Review Letters, 131(17):177301, 2023.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Construction of coarse-grained molecular dynamics with many- body non-markovian memory.Physical Review Letters, 131(17):177301, 2023

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.407645Z

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=2026-08-04T22:41:42.942237Z digest=sha256:a570414476bedeb10695322d88d3c57c87d1a1249398d2189a9942ab07be2a27

Observation ea8ad39d-708d-49dd-b6cc-d60b00eeecaf · outbound

This paper cites On the generalization ability of coarse-grained molecular dynam- ics models for nonequilibrium processes.Multiscale Modeling&Simulation, 23(2):816– 837, 2025.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory On the generalization ability of coarse-grained molecular dynam- ics models for nonequilibrium processes.Multiscale Modeling&Simulation, 23(2):816– 837, 2025

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.393552Z

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=2026-08-04T22:41:42.946111Z digest=sha256:1e12b4603dbe561f1142fe4461bc5f715bc480fd7c41f67a88e43a06d1a55fd8

Observation 6b16cbc0-bf3a-41e3-ab7c-184e70eb4f84 · outbound

This paper cites The derivation and approximation of coarse-grained dynamics from Langevin dynamics.The Journal of Chemical Physics, 145(20):204117, 2016.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory The derivation and approximation of coarse-grained dynamics from Langevin dynamics.The Journal of Chemical Physics, 145(20):204117, 2016

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.379334Z

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=2026-08-04T22:41:42.950282Z digest=sha256:d011e4f77630aaf4b6aa246657ce997da0ef9135254c3a945c99869f15dba372

Observation fd234fb3-b892-4007-ae83-df56da986fc0 · outbound

This paper cites Coarse-graining langevin dynamics using reduced- order techniques.Journal of Computational Physics, 380:170–190, 2019.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Coarse-graining langevin dynamics using reduced- order techniques.Journal of Computational Physics, 380:170–190, 2019

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.364801Z

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=2026-08-04T22:41:42.954218Z digest=sha256:be8e9dbea1da379e82ee1a876560f465e747ad374fd200e35ccff7160ff09f02

Observation 63343e4e-2d3f-42d2-96a6-ec5f3c8d6e7c · outbound

This paper cites A temperature accelerated method for sam- pling free energy and determining reaction pathways in rare events simulations.Chemical Physics Letters, 426(1):168 – 175, 2006.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory A temperature accelerated method for sam- pling free energy and determining reaction pathways in rare events simulations.Chemical Physics Letters, 426(1):168 – 175, 2006

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.349447Z

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=2026-08-04T22:41:42.958196Z digest=sha256:e442f875faea4bd6208a2fe2193480d8e455b353ca26fbcc7d8146f0bce6e356

Observation 4018055b-0474-4da3-94af-8e40b202860a · outbound

This paper cites Settle: An analytical version of the shake and rattle algorithm for rigid water models.Journal of Computational Chemistry, 13(8):952– 962, 1992.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Settle: An analytical version of the shake and rattle algorithm for rigid water models.Journal of Computational Chemistry, 13(8):952– 962, 1992

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.334143Z

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=2026-08-04T22:41:42.962026Z digest=sha256:5f7cefb7e1369ea768f6ac7b23347ca565b3eb89c38efda1e963b72b647b8ffe

Observation ae547a7d-44f5-433b-924d-d064adc5d866 · outbound

This paper cites Transport, collective motion, and Brownian motion.Progress of Theoretical Physics, 33(3):423–455, 1965.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Transport, collective motion, and Brownian motion.Progress of Theoretical Physics, 33(3):423–455, 1965

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.319147Z

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=2026-08-04T22:41:42.966012Z digest=sha256:586e11022f61e4833cbbc28aaa0f69a117f95c7e46bcc616c2ef5b9fe1e0a57f

Observation 6750d46c-56a4-42ce-b4b8-446c7ac81ed3 · outbound

This paper cites Polymorphic transitions in single crystals: A new molecular dynamics method.Journal of Applied Physics, 52(12):7182–7190, 1981.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Polymorphic transitions in single crystals: A new molecular dynamics method.Journal of Applied Physics, 52(12):7182–7190, 1981

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.305026Z

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=2026-08-04T22:41:42.970175Z digest=sha256:57a94b2d062877a179c310a5221029cecf7dd4dfc21c9efbfe160aa35df9e3bd

Observation 3405ffbf-4867-466a-a549-809108d4208c · outbound

This paper cites Machine learning memory kernels as closure for non-Markovian stochastic processes.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Machine learning memory kernels as closure for non-Markovian stochastic processes

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Resolution
verified exact
local_arxiv, observed 2026-08-04T22:41:43.091558Z

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=2026-08-04T22:41:42.974448Z digest=sha256:cac9c266898fd48d2160c64309ddd65e7aaa0e15bd2526c89be8e09be7c2db0d

Observation 952d6734-b975-4785-8eae-f7c2414193d9 · outbound

This paper cites Data-driven construction of stochastic reduced dy- namics encoded with non-markovian features.The Journal of Chemical Physics, 158(3), 2023.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Data-driven construction of stochastic reduced dy- namics encoded with non-markovian features.The Journal of Chemical Physics, 158(3), 2023

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.289853Z

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=2026-08-04T22:41:42.978690Z digest=sha256:a922c827c49c95af9778b432a3d271afafefcb25cef3c1da32a98ec948e48a0b

Observation 6d58775e-c89f-4733-a8e6-00574da05265 · outbound

This paper cites Adaptive deep density approximation for fokker-planck equations.Journal of Computational Physics, 457:111080, 2022.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Adaptive deep density approximation for fokker-planck equations.Journal of Computational Physics, 457:111080, 2022

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.275116Z

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=2026-08-04T22:41:42.982807Z digest=sha256:cb11cd72802d5b70a48e436ef988ded18ecf58b4e6c875c945544c75a20e1434

Observation 5f859293-d46c-44f6-a4a5-e163854748e1 · outbound

This paper cites Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Adversarial Adaptive Sampling: Unify PINN and Optimal Transport for the Approximation of PDEs

Reference 45

Resolution
verified exact
local_arxiv, observed 2026-08-04T22:41:43.070105Z

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=2026-08-04T22:41:42.986709Z digest=sha256:8dfcadfa2303ab035d7bb0bcf6e973701aeef8054ddd35cc8ab335413429f7ed

Observation 4da2db93-c663-4767-9aa0-8399a928b66a · outbound

This paper cites Torrie and J.P.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Torrie and J.P

Reference 46

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.260261Z

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=2026-08-04T22:41:42.991052Z digest=sha256:64e9bb229d8332a8038ea396fa1e5c954c94f0adee29e7e3ab354ff4731d25c3

Observation 9bba6bda-9277-4382-bd3b-7facacacf570 · outbound

This paper cites Plumed 2: New feathers for an old bird.Computer physics communications, 185(2):604–613, 2014.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Plumed 2: New feathers for an old bird.Computer physics communications, 185(2):604–613, 2014

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.245468Z

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=2026-08-04T22:41:42.995183Z digest=sha256:c2d18536f19116536e34b4b4ab49a3cab7ba854bd65af89cdd6a89a9a93b16d3

Observation 62e6019a-819f-4ebe-8f72-02f40d3dab4b · outbound

This paper cites Likelihood-based non-markovian models from molecular dynamics.Pro- ceedings of the National Academy of Sciences, 119(13):e2117586119, 2022.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Likelihood-based non-markovian models from molecular dynamics.Pro- ceedings of the National Academy of Sciences, 119(13):e2117586119, 2022

Reference 48

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.231955Z

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=2026-08-04T22:41:42.998964Z digest=sha256:77c7d3b7626fc6703e95874de466f87aef11f16f93fcf018ee398d6fc56916ec

Observation b8014574-6b21-42fd-96ce-b425bba75ee4 · outbound

This paper cites Position-dependent memory kernel in gener- alized Langevin equations: Theory and numerical estimation.The Journal of Chemical Physics, 156(24):244105, 06 2022.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Position-dependent memory kernel in gener- alized Langevin equations: Theory and numerical estimation.The Journal of Chemical Physics, 156(24):244105, 06 2022

Reference 49

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.217848Z

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=2026-08-04T22:41:43.003112Z digest=sha256:1be2553e0c90bf6e7b9beed2c2ed8b59ada3f504cbc2c201483ba43a06479a1b

Observation c8aac304-e33e-4cb2-afe9-4ad52607e4cd · outbound

This paper cites Ab initio generalized langevin equation.Pro- ceedings of the National Academy of Sciences, 121(14):e2308668121, 2024.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Ab initio generalized langevin equation.Pro- ceedings of the National Academy of Sciences, 121(14):e2308668121, 2024

Reference 50

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.202465Z

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=2026-08-04T22:41:43.006987Z digest=sha256:3d9a043f1aa755a07a967d1d690ff2f61804aa92b32cce375beaf92a5561fc41

Observation 543fb42c-4033-4cad-9fcc-1ec1a52e76d2 · outbound

This paper cites Coarse-graining conformational dynamics with multidimen- sional generalized langevin equation: How, when, and why.Journal of Chemical Theory and Computation, 20, 2024.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Coarse-graining conformational dynamics with multidimen- sional generalized langevin equation: How, when, and why.Journal of Chemical Theory and Computation, 20, 2024

Reference 51

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.186514Z

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=2026-08-04T22:41:43.011090Z digest=sha256:bf17b5db97c491910b79feef9a2487b30ae1781cdd9a8cfe75cde4e661fc15c9

Observation 529daae0-edcb-4ec9-be81-f5449ec36c34 · outbound

This paper cites Learning stochastic dynamics with statistics-informed neural network.Journal of Computational Physics, 474:111819, 2023.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Learning stochastic dynamics with statistics-informed neural network.Journal of Computational Physics, 474:111819, 2023

Reference 52

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.172087Z

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=2026-08-04T22:41:43.015102Z digest=sha256:7b603a0b48b1048b4f5a3db8e29f328d2ae1b7437e0782ba691f53f8ed84f334

Observation 74700c60-6b1a-43d3-a20a-b0f0e8cdf57d · outbound

This paper cites Faber approximation of the Mori-Zwanzig equation.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Faber approximation of the Mori-Zwanzig equation

Reference 53

Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.157407Z

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=2026-08-04T22:41:43.018757Z digest=sha256:2aff6518367049ab435a7e9d8ebfc71f0ff89db53bf2fb75dfb048dee11e2bf8

Observation 29e6fe9c-07ae-4d59-baab-11407422d05f · outbound

This paper cites Generalized langevin equations for systems with local interactions.Journal of Statistical Physics, 178:1217, 2020.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Generalized langevin equations for systems with local interactions.Journal of Statistical Physics, 178:1217, 2020

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Resolution
verified fuzzy
raw_fallback, observed 2026-08-04T22:41:43.141887Z

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=2026-08-04T22:41:43.022632Z digest=sha256:5cf3766e4a6fcca3e96dec20cc5b1bc919d224a6ba2de0bb3bceee2c9d0e5f50

Observation aecfb2c8-fc24-4a42-8e81-a95823ee23c0 · outbound

This paper cites an unresolved cited work.

A unified framework for data-driven construction of stochastic reduced models with state-dependent memory Unresolved cited work

Reference 55

Resolution
unresolved
raw_fallback, observed 2026-08-04T22:41:43.126868Z

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=2026-08-04T22:41:43.026472Z digest=sha256:0e297d33c791fb950fb16635c08fb9f5477b41135909ffd595fe7b082020870d

Pith citing papers

No inbound Pith citation observations are available.