Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:14.112114Z
Paper Citation Record · LEDGER
As of 15 August 2026, this Paper Citation Record lists 91 of 91 outbound references and 1 inbound Pith citation observation for arXiv:2506.22918.
A citation records a reference. It does not transfer a finding from one paper to another.
Typed states for the displayed outbound observations.
Source: paper_references, paper_reference_links, observed 2026-08-06T22:03:14.112114Z
One-hop event checks from named stored sources.
Source: scholarly_work_events, retraction_status_cache, observed 2026-08-15T06:32:42.880941+00:00
Pith citing papers itemized under the disclosed page cap.
Source: paper_references, paper_reference_links, observed 2026-08-01T13:00:03.187092Z
A source-named dated measurement, never combined with another source.
Source: cited_works
91 of 91 outbound references displayed
External citation measurements
No source-named external measurement is stored.
Observation a10e7f85-2a01-4ee5-bb82-c04e176a01ed · outbound
An approximation theory for Markov chain compression Inequalities for rare events in time-reversible Markov chains I
Reference 1
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Observation 91a966ed-d54f-4db9-aa5e-a3e9ce7cbb1a · outbound
An approximation theory for Markov chain compression Aldous and J
Reference 2
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Observation 5d72fd31-d322-4e80-9885-9ea833547d3d · outbound
An approximation theory for Markov chain compression Spectral methods in machine learning and new strategies for very large datasets
Reference 3
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An approximation theory for Markov chain compression Committors, first-passage times, fluxes, Markov states, milestones, and all that
Reference 4
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An approximation theory for Markov chain compression An Improved Approximation Algorithm for the Column Subset Selection Problem
Reference 5
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An approximation theory for Markov chain compression Approximating IMRL distributions by exponential distributions, with appli- cations to first passage times
Reference 6
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Observation d6b1decc-4490-4bdb-921b-142effabea54 · outbound
An approximation theory for Markov chain compression Uncertainty in a Markov state model with missing states and rates: Application to a room temperature kinetic model obtained using high temperature molecular dynamics
Reference 7
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Observation 992ae344-78a7-49a0-b63e-f031df825e0a · outbound
An approximation theory for Markov chain compression Nonlinear model reduction via discrete empirical interpolation
Reference 8
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Observation b5f5e9ce-b8bd-4feb-a3ec-b2c254e4daae · outbound
An approximation theory for Markov chain compression RCHOL: Randomized Cholesky Factorization for Solving SDD Linear Systems
Reference 9
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An approximation theory for Markov chain compression Randomly pivoted Cholesky: Practical approximation of a kernel matrix with few entry evaluations
Reference 10
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An approximation theory for Markov chain compression Markov state models of biomolecular conformational dynamics
Reference 11
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Observation 2ccaca33-0688-4d4b-8172-94945f028fca · outbound
An approximation theory for Markov chain compression Discrete Green’s functions
Reference 12
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An approximation theory for Markov chain compression On selecting a maximum volume sub-matrix of a matrix and related problems
Reference 13
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Observation 59f8a054-b6b4-46a6-84c4-c24fa61f279f · outbound
An approximation theory for Markov chain compression Adaptive randomized pivoting for column subset selection, DEIM, and low-rank approximation
Reference 14
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An approximation theory for Markov chain compression Determinantal point processes in randomized nu- merical linear algebra
Reference 15
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An approximation theory for Markov chain compression Optimal state-space lumping in Markov chains
Reference 16
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An approximation theory for Markov chain compression Efficient volume sampling for row/column subset selection
Reference 17
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Observation d5be9d44-53d8-456a-bf79-1c2e58da913f · outbound
An approximation theory for Markov chain compression Adaptive sampling and fast low-rank matrix approxima- tion
Reference 18
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An approximation theory for Markov chain compression Estimating the eigenvalue error of Markov state models
Reference 19
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Observation 0a5905b7-d622-4d4c-9469-98fdebb27483 · outbound
An approximation theory for Markov chain compression Unresolved cited work
Reference 20
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Observation 6d6c9e63-ad11-467a-84de-770721f06ffb · outbound
An approximation theory for Markov chain compression On the Nystr¨ om method for approximating a Gram matrix for improved kernel-based learning
Reference 21
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An approximation theory for Markov chain compression Lattice QCD at the physical point: simulation and analysis details
Reference 22
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An approximation theory for Markov chain compression Unresolved cited work
Reference 23
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Observation 57e5b5be-4234-4238-b1ba-2ab23d9ed5dc · outbound
An approximation theory for Markov chain compression Modeling molecular kinetics with Milestoning
Reference 24
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An approximation theory for Markov chain compression Computing time scales from reaction coordinates by mileston- ing
Reference 25
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Observation 19617fbc-fbe0-4a7d-a881-a1ec9d7cd319 · outbound
An approximation theory for Markov chain compression RNA folding at elementary step resolution
Reference 26
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An approximation theory for Markov chain compression Unresolved cited work
Reference 27
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Observation 6e04c5b3-f2a4-488d-8217-e63d5b0f9f1b · outbound
An approximation theory for Markov chain compression Column and row subset selection using nuclear scores: algorithms and theory for Nystr\"{o}m approximation, CUR decomposition, and graph Laplacian reduction
Reference 28
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Observation ac6b6ff2-86d0-4f7e-a353-a0b537b09ca4 · outbound
An approximation theory for Markov chain compression A Unified Dynamic Programming Frame- work for the Analysis of Interacting Nucleic Acid Strands: Enhanced Models, Scalability, and Speed
Reference 29
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An approximation theory for Markov chain compression NUPACK: Analysis and Design of Nucleic Acid Structures, Devices, and Systems
Reference 30
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Observation a713f0d7-dd90-4952-98a2-8fea24b005d3 · outbound
An approximation theory for Markov chain compression Computational methods for simulating and parameterizing nucleic acid secondary structure thermodynamics and kinetics
Reference 31
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An approximation theory for Markov chain compression Frenkel and B
Reference 32
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An approximation theory for Markov chain compression Robust and Practical Solution of Laplacian Equations by Approximate Elimination
Reference 33
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Observation 53587b3e-c8b6-4cc5-badc-5a354132e977 · outbound
An approximation theory for Markov chain compression Strong rank revealing Cholesky factorization
Reference 34
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An approximation theory for Markov chain compression Optimal Column-Based Low-Rank Matrix Reconstruc- tion
Reference 35
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An approximation theory for Markov chain compression Unresolved cited work
Reference 36
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Observation c227c4c2-5118-4c3b-9b25-d2832e53fdcf · outbound
An approximation theory for Markov chain compression Optimal dimensionality reduction of multistate kinetic and Markov-state models
Reference 37
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Reference 38
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An approximation theory for Markov chain compression Jacobsen
Reference 39
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An approximation theory for Markov chain compression Markov State Models of Molecular Simulations to Study Protein Folding and Dynamics
Reference 40
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An approximation theory for Markov chain compression Rarity and Exponentiality
Reference 41
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An approximation theory for Markov chain compression Correlation functions, mean first passage times, and the Kemeny constant
Reference 42
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Reference 43
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Reference 44
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Reference 46
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An approximation theory for Markov chain compression A mathematical theory of optimal milestoning (with a detour via exact milestoning)
Reference 47
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Reference 48
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An approximation theory for Markov chain compression CUR matrix decompositions for improved data analysis
Reference 49
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Reference 50
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Reference 51
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Reference 52
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An approximation theory for Markov chain compression Multi-Scale attributed node embedding
Reference 57
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An approximation theory for Markov chain compression Armadillo: a template-based C++ library for linear algebra
Reference 58
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Reference 60
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Reference 61
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Reference 63
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Reference 64
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Reference 65
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Reference 66
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Reference 68
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Reference 70
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Reference 71
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Reference 73
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Reference 74
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Reference 75
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Reference 76
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Reference 77
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An approximation theory for Markov chain compression the first return to j after hitting any one of I
Reference 78
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An approximation theory for Markov chain compression More precisely, − ˆR−1 i,i = E(τ I \{i} | X0 = i)
Reference 79
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An approximation theory for Markov chain compression More precisely, − ˆRi,j/ ˆRi,i = P(Xτ I \{i} = j | X0 = i)
Reference 80
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An approximation theory for Markov chain compression More precisely, ˆπi = P(Xτ I = i)
Reference 81
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Reference 82
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Observation 156ea42c-f61d-4677-92bd-60d6f70bdf55 · outbound
An approximation theory for Markov chain compression Given this approach, the probability 50 of the chain not having reached I \{i} at time t is: P(τI \{i} > t| X0 = i) = lim β→0 lim α→∞ Ii,: exp (R − β1π⊤ − αI:,I \{i}I⊤ :,I \{i})t
Reference 83
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Observation 6d40481e-59c1-49e0-9242-6bca43a3a6af · outbound
An approximation theory for Markov chain compression Unresolved cited work
Reference 84
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Observation 05219ef3-9d90-4d7f-ad18-03365d79fcb6 · outbound
An approximation theory for Markov chain compression The rates between marked states ( i, i) → (i′, i′) are inherited from the rates i → i′ in the original chain M
Reference 85
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Observation c7a05a3e-716f-45cb-9b78-4777f9ce624a · outbound
An approximation theory for Markov chain compression The rates between unmarked states (i, j) → (i′, j′) are inherited from the rates j → j′ in the original chain M when i = i′, otherwise they are zero
Reference 86
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Observation 21b5241f-e950-48c2-8303-1816c7c86dff · outbound
An approximation theory for Markov chain compression Unresolved cited work
Reference 87
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Observation b58dee61-386a-4c77-bae2-96a7736c67f6 · outbound
An approximation theory for Markov chain compression Any unmarked state ( i, j) is allowed to transition to any marked state ( k, k), with a rate inherited from the rate j → k in the original chain M
Reference 88
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Observation b15f4b05-cdf3-46dc-9b7c-cb370019ce46 · outbound
An approximation theory for Markov chain compression Unresolved cited work
Reference 89
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Observation 43194737-6001-4a9d-94ca-b30ca69fd7b9 · outbound
An approximation theory for Markov chain compression Unresolved cited work
Reference 90
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Observation f51b95f9-de98-492e-8b12-20bf823b2ac1 · outbound
An approximation theory for Markov chain compression killed Laplace equation
Reference 91
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Observation 96f887eb-400b-4ce3-a256-c52269d5cdec · inbound
Nystr\"om Error Beyond $M$-Matrices: A Minimal Diagonally Dominant Obstruction An approximation theory for Markov chain compression
Reference 8
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