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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 2026-08-18T06:34:40.430872+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
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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=sha256:940f49fe371850b9f02bb39e09301e2fbfdf095eed30907395f23a1dc597bbb3

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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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

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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

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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

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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

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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 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.029803Z digest=sha256:19c84864dc83867a5cb236198bcb5d0e31595dd5c293b0c1bcfd526aaaf4e6a3

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 2026-08-18T06:34:40.430872+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

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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

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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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

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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 2026-08-18T06:34:40.430872+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 2026-08-18T06:34:40.430872+00:00.

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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 2026-08-18T06:34:40.430872+00:00.

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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

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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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.102850Z digest=sha256:f7df9d23c70bfaea27761829983ba0b6d959693a1535291aaae718bccfd0c3eb

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.107540Z digest=sha256:cad6f1d38967f59fb3aa07d3828cf5cc03a481a2badd1dd351797b4afc2ee9d2

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.112434Z digest=sha256:f879cdff2a645479432d3c21fdd248fa0bbfcaf7e51aa7008f8afb763a8efbed

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.117078Z digest=sha256:3e170f198c960e01679c3faf9decb69baa7bc3eaec24348259405090d91cda5b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.121763Z digest=sha256:f095bfb40da248725d0dc081add3f71aba512bf25973a84c52f16f58e6b66c7a

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.127161Z digest=sha256:aa22cc87bd3dda983923c0696a1c9b988e74320f219e38adc93d83ad5bd281e4

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.131784Z digest=sha256:d7578f14fb7fd6ab68aea35d11133f555afff8a722255dae3daf47b1ea325bd7

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.136649Z digest=sha256:a0b5c787de2b10f87849f3e343286fde7029b66b5613166d8c579c9cf4a8818f

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.141480Z digest=sha256:1047ec8c4196f9e5b80286ceb5fc1f75357169dbd7ec6eea2ce3472588d9b3c9

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.146738Z digest=sha256:209f7066f26a67fd9e2391e90cf240bba24c49314744f20b6b9256dabb61a6e6

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.151367Z digest=sha256:c5892a53f936c6d9898c770db901ac869b5a3ecaac943965c07ebec125418083

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.156560Z digest=sha256:ab8e47899c0fdb8b2230517ac2530449b25c6fa0d279776b65c6b93aead9d666

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.161955Z digest=sha256:044bb5a837aa50d269477873e8991c20f86b303a2403e628aae15721e68dc00b

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 2026-08-18T06:34:40.430872+00:00.

source=arxiv_source observed=2026-08-11T21:55:42.190716Z digest=sha256:5acbb1ef00dac9654ca9c66c888ef037b076935465ddceab829d969782efb568

Pith citing papers

No inbound Pith citation observations are available.