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Paper Citation Record · LEDGER

Markov-type state models to describe non-Markovian dynamics

As of 18 August 2026, this Paper Citation Record lists 45 of 45 outbound references and 0 inbound Pith citation observations for arXiv:2412.08660.

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

pith.paper-citation-record.v1
2412.08660 v2

Coverage vector

measured 45 of 45 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-11T21:55:42.190716Z

measured 45 of 45 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-17T06:30:58.91139+00:00

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

45 of 45 outbound references displayed

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  • verified fuzzy30
  • unresolved13
  • parse uncertain0
  • malformed identifier2
  • metadata mismatch0

External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 54893224-6f92-428d-a787-cf583dd31d85 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 1

Resolution
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source=arxiv_source observed=2026-08-11T21:55:41.950574Z digest=sha256:bd2651328dcd97a390ad7fe2fe94b77c08a046729e223b791d42398a597a5e11

Observation 97214066-abb5-48e8-b832-d93afb4f8c57 · outbound

This paper cites F.; Grubm\"uller , H.

Markov-type state models to describe non-Markovian dynamics F.; Grubm\"uller , H

Reference 2

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Source-reported events for the cited work

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Observation 21e7797a-3cb5-40ba-bc2e-64e65411a9ca · outbound

This paper cites Multidimensional Langevin modeling of biomolecular dynamics.

Markov-type state models to describe non-Markovian dynamics Multidimensional Langevin modeling of biomolecular dynamics

Reference 3

Resolution
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Source-reported events for the cited work

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Observation f594da28-2b1c-49d8-9611-240b6135c31f · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 4

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Observation ba3fd258-da4f-4d35-a439-78b252a1488b · outbound

This paper cites Coarse master equations for peptide folding dynamics.

Markov-type state models to describe non-Markovian dynamics Coarse master equations for peptide folding dynamics

Reference 5

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 152cdf2e-1391-4620-9034-c9f97f8a7e57 · outbound

This paper cites R.; Beauchamp, K.

Markov-type state models to describe non-Markovian dynamics R.; Beauchamp, K

Reference 6

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6256dd8f-96c6-4ac8-b171-78324bd50add · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 7

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6e97f5c5-8032-48f7-95f7-15825aa20269 · outbound

This paper cites R.; Pande, V.

Markov-type state models to describe non-Markovian dynamics R.; Pande, V

Reference 8

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 804c0070-0c84-4a82-a146-4fcf3975bc9e · outbound

This paper cites K.; Trendelkamp-Schroer, B.; Paul, F.

Markov-type state models to describe non-Markovian dynamics K.; Trendelkamp-Schroer, B.; Paul, F

Reference 9

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5608b4cb-1924-4cae-ab6d-14310db71ef2 · outbound

This paper cites A.; Bowman, G.

Markov-type state models to describe non-Markovian dynamics A.; Bowman, G

Reference 10

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 82d89dcc-cf68-4091-ad73-804d8904c827 · outbound

This paper cites msmhelper: A Python package for Markov state modeling of protein dynamics.

Markov-type state models to describe non-Markovian dynamics msmhelper: A Python package for Markov state modeling of protein dynamics

Reference 11

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation cadb2ac6-3305-4805-8998-ec54e2084302 · outbound

This paper cites Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification.

Markov-type state models to describe non-Markovian dynamics Fuzzy spectral clustering by PCCA+: application to Markov state models and data classification

Reference 12

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation d57089b1-6e60-43f0-b176-c0d34a5f90e5 · outbound

This paper cites Optimal Dimensionality Reduction of Multistate Kinetic and Markov -State Models.

Markov-type state models to describe non-Markovian dynamics Optimal Dimensionality Reduction of Multistate Kinetic and Markov -State Models

Reference 13

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 5de2b40d-45b4-4817-8c18-b4894074d0cf · outbound

This paper cites E.; Annibale, A.

Markov-type state models to describe non-Markovian dynamics E.; Annibale, A

Reference 14

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.016053Z digest=sha256:b52a592f225d3dd658b6a7d7f0efd83a0f0b1bfd1cfb28ee8f91866f2517167c

Observation 0072eb7a-addd-421a-8949-e0bad6424569 · outbound

This paper cites J.; Wales, D.

Markov-type state models to describe non-Markovian dynamics J.; Wales, D

Reference 15

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.020412Z digest=sha256:0f73910c264a7bc9580da0bb746c221550ccc92c1a96c919331cfab67a67898f

Observation a096c7d1-fe26-4e88-be48-b48a5be10db0 · outbound

This paper cites From classical dynamics to continuous time random walks.

Markov-type state models to describe non-Markovian dynamics From classical dynamics to continuous time random walks

Reference 16

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.025173Z digest=sha256:79a6d364f76e4130ed5f2c586d93871be62a8b8411e81e433d837d34ed8d6ff7

Observation 9b3f8437-839c-4065-9d9d-48c5297cba3d · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 17

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.029803Z digest=sha256:eda684f202c2c924c1777cecf97e211e9ff2698bb6cd11590f209c7f5887ce00

Observation 4d86a9f3-f322-4bb1-8792-345279f86601 · outbound

This paper cites Emergent Memory and Kinetic Hysteresis in Strongly Driven Networks.

Markov-type state models to describe non-Markovian dynamics Emergent Memory and Kinetic Hysteresis in Strongly Driven Networks

Reference 18

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation ada67ce6-5cde-4a91-b1dd-969547a70015 · outbound

This paper cites P.; Wehmeyer, C.

Markov-type state models to describe non-Markovian dynamics P.; Wehmeyer, C

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4133135c-2f36-4ef2-9d5f-2e9701a970b1 · outbound

This paper cites J.; Sayer, T.; Cao, S.

Markov-type state models to describe non-Markovian dynamics J.; Sayer, T.; Cao, S

Reference 20

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 4695a484-8ffe-48e1-9e37-a3ff4c793873 · outbound

This paper cites Iterative Reconstruction of Memory Kernels.

Markov-type state models to describe non-Markovian dynamics Iterative Reconstruction of Memory Kernels

Reference 21

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 885611f4-620f-44c2-8850-fbf4532d130e · outbound

This paper cites O.; Kappler, J.

Markov-type state models to describe non-Markovian dynamics O.; Kappler, J

Reference 22

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 6c15af4f-a52e-4834-9ea1-54f8b938919e · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 23

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b557c2a0-7d5d-4030-866c-069a30e61195 · outbound

This paper cites C.; Cao, S.; Kubo, S.

Markov-type state models to describe non-Markovian dynamics C.; Cao, S.; Kubo, S

Reference 24

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation b7afb3ad-84c3-457b-b9fb-c6d7d308ad12 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 25

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation eb55df45-4711-4b85-8ff9-857ac8084e35 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 26

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation a3bb6aa7-f03c-45aa-81d7-35eb6424eeb0 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 27

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 63c49734-3c0f-49e2-8514-70093e213536 · outbound

This paper cites Hierarchical folding free energy landscape of HP35 revealed by most probable path clustering.

Markov-type state models to describe non-Markovian dynamics Hierarchical folding free energy landscape of HP35 revealed by most probable path clustering

Reference 28

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 56051b11-5a7d-4b1d-96e1-99e8e10d2e34 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 29

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

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Observation 3f310a4c-58dd-4f63-84c5-c9d88fdb4cb6 · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 30

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.093579Z digest=sha256:ab24edda49a88b2a83e57a445b24e2f46a29478f4e86d27c89012e0d8bde5da5

Observation 0c559350-1565-4a98-b7cf-d2509ecf8916 · outbound

This paper cites See the discussion in Refs.\ Lapolla21,Vollmar24.

Markov-type state models to describe non-Markovian dynamics See the discussion in Refs.\ Lapolla21,Vollmar24

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.097952Z digest=sha256:605e24f00d8d09b17e7240bc49cabee2baba9ccfe7b2e3b792a45a0fae3ec1f3

Observation e1c2d2b7-0f7a-417e-8ab8-656a91e6a39c · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 32

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:55:42.524724Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.102850Z digest=sha256:1cd608183f97087366148881d7c50918a514461f6303f9e1b21d8ab760c4974b

Observation 66108a3e-1baa-47d6-8f19-9fc3549ca311 · outbound

This paper cites Toward a Benchmark for Markov State Models: The Folding of HP35.

Markov-type state models to describe non-Markovian dynamics Toward a Benchmark for Markov State Models: The Folding of HP35

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.107540Z digest=sha256:a77f45df3cd22b93ce3da615cf694770b5c24030de86d6ca18c2375b29c6d4de

Observation 0eaa7ffc-33d4-4b4c-8ed3-a0035ec5051c · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 34

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:55:42.494316Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.112434Z digest=sha256:ddfd05ea2603079f75e4c56f3561a62f55be37887bc7110781f811588a526739

Observation f9b83113-f173-40f7-b3dd-9d443bbec58f · outbound

This paper cites Selecting Features for Markov Modeling: A Case Study on HP35.

Markov-type state models to describe non-Markovian dynamics Selecting Features for Markov Modeling: A Case Study on HP35

Reference 35

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.478844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.117078Z digest=sha256:6e633ad765371dee97e4dc282251776cb5b370818e6999c1c7c21fd7f2de443d

Observation d23c188c-1ebd-4923-bc9f-4c812971c025 · outbound

This paper cites Correlation-based feature selection to identify functional dynamics in proteins.

Markov-type state models to describe non-Markovian dynamics Correlation-based feature selection to identify functional dynamics in proteins

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.462957Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.121763Z digest=sha256:df03a3802fe95c40b451d8fe75d46fc2b1267559fd6a9b3ded6310fc613ede82

Observation 8d5b5d00-123a-40b3-bbcc-4094e2aa2b41 · outbound

This paper cites Contact- and distance-based principal component analysis of protein dynamics.

Markov-type state models to describe non-Markovian dynamics Contact- and distance-based principal component analysis of protein dynamics

Reference 37

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.446873Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.127161Z digest=sha256:f9f91c2022cb91e9a299476838699c109698cf9ccbb36053a78940ebe2c14d27

Observation 132d1425-483d-4c3d-9c6c-feeacbab7885 · outbound

This paper cites Robust Density-Based Clustering to Identify Metastable Conformational States of Proteins.

Markov-type state models to describe non-Markovian dynamics Robust Density-Based Clustering to Identify Metastable Conformational States of Proteins

Reference 38

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.430126Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.131784Z digest=sha256:daad1a6960e1871d250d8056a73fc969fc7e19f27a4ef03c253f585e061f1688

Observation f31044df-f769-44c2-9f9a-37458775c6a0 · outbound

This paper cites Identifying metastable states of folding proteins.

Markov-type state models to describe non-Markovian dynamics Identifying metastable states of folding proteins

Reference 39

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.414780Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.136649Z digest=sha256:ef0e5617172181eb6ca4e1f2df5b57f604015153a51ab7c9c6852f716ca2deab

Observation 2f7a5ba0-d38f-4ae9-81d4-51b8318530cf · outbound

This paper cites As this effect turned out rather small, though, we ignored this effect and used the same microstates for better comparability.

Markov-type state models to describe non-Markovian dynamics As this effect turned out rather small, though, we ignored this effect and used the same microstates for better comparability

Reference 40

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.397438Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.141480Z digest=sha256:d4541557eb2ce709afe485e12712f7fbf14416f18105b2e0a3bf3513d987682b

Observation a1566ff7-3fa7-47c1-bc3b-020b4b4cb514 · outbound

This paper cites R.; Ensign, D.

Markov-type state models to describe non-Markovian dynamics R.; Ensign, D

Reference 41

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.380549Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.146738Z digest=sha256:663aded0b0aa4f34cff1be01800ae272f85265ebcea6c7a245e96404b05e1b0a

Observation 764b3c29-25ed-43cb-8f30-3da3c79e9244 · outbound

This paper cites Metadynamics Enhanced Markov Modeling: Protein Dynamics from Short Trajectories.

Markov-type state models to describe non-Markovian dynamics Metadynamics Enhanced Markov Modeling: Protein Dynamics from Short Trajectories

Reference 42

Resolution
verified fuzzy
raw_fallback, observed 2026-08-11T21:55:42.364761Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.151367Z digest=sha256:846da082cfda006fcb12a4f26145041f3e964035fbb1a25c0e6acee52a509b84

Observation cea4de0e-5b0c-4e25-bb83-9cd0cc6d7b9a · outbound

This paper cites an unresolved cited work.

Markov-type state models to describe non-Markovian dynamics Unresolved cited work

Reference 43

Resolution
unresolved
raw_fallback, observed 2026-08-11T21:55:42.347668Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.156560Z digest=sha256:10cb6c7cdf7fadc6246a64f4c26c6c490c30fc243ac54248b8667361686b730f

Observation 107bb93f-7956-47fc-a73b-fa86108a5e3e · outbound

This paper cites ur Datenverarbeitung of the University of T\.

Markov-type state models to describe non-Markovian dynamics ur Datenverarbeitung of the University of T\

Reference 44

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:55:42.316434Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.161955Z digest=sha256:aa1d4ddb4d20fabcbe32df328074e1b96e192b4fc8b79af2dc12201150accd70

Observation df08f672-8549-488e-a55a-65d0315b54e9 · outbound

This paper cites uller Lange, and Grubm\.

Markov-type state models to describe non-Markovian dynamics uller Lange, and Grubm\

Reference 45

Resolution
malformed identifier
raw_fallback, observed 2026-08-11T21:55:42.332808Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-17T06:30:58.91139+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.190716Z digest=sha256:7fe3c68a343e1f90fd153394d9ea900bfa259b681625153873f0f0de64618055

Pith citing papers

No inbound Pith citation observations are available.