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Paper Citation Record · LEDGER

Approximating committor functions: Objective functions and training data sampling

As of 16 August 2026, this Paper Citation Record lists 78 of 78 outbound references and 0 inbound Pith citation observations for arXiv:2607.21425.

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

pith.paper-citation-record.v1
2607.21425 v2

Coverage vector

measured 78 of 78 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-01T07:35:45.454661Z

measured 78 of 78 standing notices

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Source: scholarly_work_events, retraction_status_cache, observed 2026-08-16T06:30:59.297886+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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Source: cited_works

Reference resolution

78 of 78 outbound references displayed

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External citation measurements

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Outbound references

Observation 190bbed5-c938-41f0-be70-28e764d1aa78 · outbound

This paper cites Hartmann , author C.

Approximating committor functions: Objective functions and training data sampling Hartmann , author C

Reference 7

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Observation ae7de31f-3edf-4832-ba59-e6eb085042fd · outbound

This paper cites Pigeon , author G.

Approximating committor functions: Objective functions and training data sampling Pigeon , author G

Reference 14

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Observation 4bd4870f-03b2-4dab-a2ee-c8acd9affaea · outbound

This paper cites Leli \`e vre \ and\ author G.

Approximating committor functions: Objective functions and training data sampling Leli \`e vre \ and\ author G

Reference 16

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Observation bebd8e49-f7bd-49fa-a4f0-f7e3ad6f90e9 · outbound

This paper cites Lelièvre , author M.

Approximating committor functions: Objective functions and training data sampling Lelièvre , author M

Reference 18

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Observation 3c7efb89-d7af-4350-95b6-48f8b70dda57 · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 20

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Observation 741b9ef4-c8c5-4933-93c2-024b7aa11fc3 · outbound

This paper cites Jung , author R.

Approximating committor functions: Objective functions and training data sampling Jung , author R

Reference 22

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Observation ccb87bc3-5ee0-464f-8a71-0f3d558512e7 · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 26

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Observation 0414b076-6b36-48b4-8fc5-509b58d7bc78 · outbound

This paper cites Kang , author E.

Approximating committor functions: Objective functions and training data sampling Kang , author E

Reference 27

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Observation 74db8e7d-2d09-4e43-b159-d4246f3db96c · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 31

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Observation 4384345f-dc89-4a69-90ea-dac9faeefb84 · outbound

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Approximating committor functions: Objective functions and training data sampling Li , author Y

Reference 32

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Observation bb0c1bcf-0714-43b2-b5a0-d5a3a9234c26 · outbound

This paper cites Chen , author B.

Approximating committor functions: Objective functions and training data sampling Chen , author B

Reference 36

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This paper cites \ Br \'e hier , author M.

Approximating committor functions: Objective functions and training data sampling \ Br \'e hier , author M

Reference 37

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Observation b4a3133a-7436-4994-869d-ea6404885482 · outbound

This paper cites Exact and soft boundary conditions in Physics-Informed Neural Networks for the Variable Coefficient Poisson equation.

Approximating committor functions: Objective functions and training data sampling Exact and soft boundary conditions in Physics-Informed Neural Networks for the Variable Coefficient Poisson equation

Reference 39

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Observation 3d2439c3-1f5f-4b76-9258-52512d180dac · outbound

This paper cites Giuseppe Chen , author C.

Approximating committor functions: Objective functions and training data sampling Giuseppe Chen , author C

Reference 40

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Observation 360b9db8-c2d4-4aaf-8d6d-f731479b9ecd · outbound

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Approximating committor functions: Objective functions and training data sampling Meg \' as , author S

Reference 41

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Observation a71509fa-0b3e-4bc0-b500-ab1344117578 · outbound

This paper cites Contreras Arredondo , author C.

Approximating committor functions: Objective functions and training data sampling Contreras Arredondo , author C

Reference 42

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This paper cites M \"u ller \ and\ author L.

Approximating committor functions: Objective functions and training data sampling M \"u ller \ and\ author L

Reference 43

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This paper cites Pigeon ,\ @noop title 2dpotentials , \ howpublished https://github.com/thomaspigeon/2dpotentials ( year 2025 ) NoStop.

Approximating committor functions: Objective functions and training data sampling Pigeon ,\ @noop title 2dpotentials , \ howpublished https://github.com/thomaspigeon/2dpotentials ( year 2025 ) NoStop

Reference 44

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Observation 90da4764-8e54-4b23-961f-d0b592bb1038 · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 46

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Observation 53412da3-6749-4c0b-9449-6b9580eec7e1 · outbound

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Approximating committor functions: Objective functions and training data sampling Glasserman , author P

Reference 47

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 49

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Approximating committor functions: Objective functions and training data sampling e3nn: Euclidean Neural Networks

Reference 50

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Observation 105c357b-9b6d-46ca-8472-d8a8687455d2 · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 51

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Approximating committor functions: Objective functions and training data sampling 2023 , eprint=

Reference 52

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Approximating committor functions: Objective functions and training data sampling , editor =

Reference 53

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Approximating committor functions: Objective functions and training data sampling Reactive trajectories and the transition path process , year =

Reference 54

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Approximating committor functions: Objective functions and training data sampling Solving for high-dimensional committor functions using artificial neural networks , year =

Reference 55

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Observation 84b1db5a-7a7f-48a9-aaae-903f86fac994 · outbound

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Approximating committor functions: Objective functions and training data sampling Computing committor functions for the study of rare events using deep learning , year =

Reference 56

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This paper cites Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =.

Approximating committor functions: Objective functions and training data sampling Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =

Reference 57

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Observation 10e297fe-e9dc-4b46-a0e1-b8af240df59d · outbound

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Approximating committor functions: Objective functions and training data sampling and Rotskoff, Grant M

Reference 58

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Approximating committor functions: Objective functions and training data sampling and Lu, Deyu and Schulten, Klaus , title = "

Reference 59

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Approximating committor functions: Objective functions and training data sampling , title = "

Reference 60

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Approximating committor functions: Objective functions and training data sampling String method with swarms-of-trajectories, mean drifts, lag time, and committor , year =

Reference 61

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Approximating committor functions: Objective functions and training data sampling Theoretica Chimica Acta , year=

Reference 62

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This paper cites Journal of Chemical Theory and Computation , volume =.

Approximating committor functions: Objective functions and training data sampling Journal of Chemical Theory and Computation , volume =

Reference 63

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 64

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 65

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Observation b7e0c960-ecbb-4050-b601-34b33f8190d6 · outbound

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Approximating committor functions: Objective functions and training data sampling and Contreras Arredondo, Sergio and Roux, Benoît and Chipot, Christophe , title =

Reference 66

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Observation b65631ee-d5e6-443d-b3ed-4c3342e0af3b · outbound

This paper cites and Moroni, Daniele and Bolhuis, Peter G.

Approximating committor functions: Objective functions and training data sampling and Moroni, Daniele and Bolhuis, Peter G

Reference 67

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Observation 05808c9c-f87c-458b-a75b-d884bb04148b · outbound

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Approximating committor functions: Objective functions and training data sampling Allen and Patrick B

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This paper cites Optimal control for sampling the transition path process and estimating rates , journal =.

Approximating committor functions: Objective functions and training data sampling Optimal control for sampling the transition path process and estimating rates , journal =

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Observation 687e28e0-903b-43a2-be09-b64520131548 · outbound

This paper cites Risk-neutral limit of adaptive importance sampling of random stopping times , journal =.

Approximating committor functions: Objective functions and training data sampling Risk-neutral limit of adaptive importance sampling of random stopping times , journal =

Reference 70

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Observation 223efeef-3f2a-4b89-8f7a-04aa28149717 · outbound

This paper cites A large deviations perspective on the efficiency of multilevel splitting.

Approximating committor functions: Objective functions and training data sampling A large deviations perspective on the efficiency of multilevel splitting

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Observation 3efd6db4-b608-4622-a037-3626d36528ee · outbound

This paper cites The Journal of Chemical Physics , volume =.

Approximating committor functions: Objective functions and training data sampling The Journal of Chemical Physics , volume =

Reference 72

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source=arxiv_source observed=2026-08-01T07:35:42.061566Z digest=sha256:a1249c18117cf04df0c2e05cf3814b5f51a061a784bbf1e2d485aee896b32f72

Observation af2a7d93-dbc0-4ce2-94f1-11e931a532c1 · outbound

This paper cites Torrie and J.P.

Approximating committor functions: Objective functions and training data sampling Torrie and J.P

Reference 73

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source=arxiv_source observed=2026-08-01T07:35:42.133980Z digest=sha256:301b4d1523ccc78caae8f27798db7510b4a06c2607cc7bef191528e5794bd704

Observation 6928a6fe-d0b6-4600-a216-2e1467e13c15 · outbound

This paper cites Journal of Physics: Condensed Matter , abstract =.

Approximating committor functions: Objective functions and training data sampling Journal of Physics: Condensed Matter , abstract =

Reference 74

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source=arxiv_source observed=2026-08-01T07:35:42.256923Z digest=sha256:670b4376bc0f26ca05202b9b589d486eab215525c452a00856390f099e3043be

Observation 2bb4b4b4-d0f2-49cf-b798-42d1b7e01960 · outbound

This paper cites Carter and Giovanni Ciccotti and James T.

Approximating committor functions: Objective functions and training data sampling Carter and Giovanni Ciccotti and James T

Reference 75

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source=arxiv_source observed=2026-08-01T07:35:42.368563Z digest=sha256:aa0a68b805221fb6e7c625497bc8a43f4c854b4344335cc1e262ee329cd9729a

Observation 44f3db40-7aa3-4875-9b9e-e1e1162ac975 · outbound

This paper cites The activated complex in chemical reactions , year =.

Approximating committor functions: Objective functions and training data sampling The activated complex in chemical reactions , year =

Reference 76

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source=arxiv_source observed=2026-08-01T07:35:42.480011Z digest=sha256:4cdb0d7d5ddb02061554d374f9fa29e28ac293011f4e6bd555d65aeefd8c0e7e

Observation 1088a3ad-7825-46ec-a13e-fa495c7e83aa · outbound

This paper cites Yuk and Manh-Thuong Nguyen and Mal-Soon Lee and Vassiliki-Alexandra Glezakou and Roger Rousseau , journal =.

Approximating committor functions: Objective functions and training data sampling Yuk and Manh-Thuong Nguyen and Mal-Soon Lee and Vassiliki-Alexandra Glezakou and Roger Rousseau , journal =

Reference 77

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source=arxiv_source observed=2026-08-01T07:35:42.554118Z digest=sha256:eae39ce87f0660405cbbf3bb8e1af8fa2b0d852f1301a8397008667ed3f3a2b7

Observation d5476db8-2279-49b9-b1e2-085cc0db4c60 · outbound

This paper cites The Journal of Chemical Physics , volume =.

Approximating committor functions: Objective functions and training data sampling The Journal of Chemical Physics , volume =

Reference 78

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source=arxiv_source observed=2026-08-01T07:35:42.569010Z digest=sha256:f738e3d798bdd9287a71adaee703b8857fe7e37308d25716f6a8b6c038de72fd

Observation b195f942-9c6c-42f2-aa48-722740466baa · outbound

This paper cites Committor-Consistent Variational String Method , year =.

Approximating committor functions: Objective functions and training data sampling Committor-Consistent Variational String Method , year =

Reference 79

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source=arxiv_source observed=2026-08-01T07:35:42.632821Z digest=sha256:219fe7adf90c315ba07b59c4d1c52ee9a6371d180346bf1d7aa16ceebf4a9458

Observation 1bbecd27-41f6-43e0-8fb5-7d4dd6ab4882 · outbound

This paper cites Frassek and A.

Approximating committor functions: Objective functions and training data sampling Frassek and A

Reference 80

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source=arxiv_source observed=2026-08-01T07:35:42.723206Z digest=sha256:5ca08c6981829c223ce4d4990466743ef7707520194047742cc86e948c552c84

Observation 45c1f1cc-313f-418a-8559-a91f5ea1856b · outbound

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Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 81

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source=arxiv_source observed=2026-08-01T07:35:42.829628Z digest=sha256:def482be7732fa821270d08dd60173752a6037e2ef5fe9c96c8001ee2a2662dd

Observation 3c303028-fb7b-408d-b750-e5bf1743043e · outbound

This paper cites an unresolved cited work.

Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 82

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source=arxiv_source observed=2026-08-01T07:35:42.947966Z digest=sha256:08a390a9f673bfe98990351f1d2cd324383fa18cfed69da0db18c8ff46e9f64c

Observation 8718a35c-2d58-4fe2-9a09-3f62e8bbd800 · outbound

This paper cites Analysis of adaptive multilevel splitting algorithms in an idealized case , year =.

Approximating committor functions: Objective functions and training data sampling Analysis of adaptive multilevel splitting algorithms in an idealized case , year =

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source=arxiv_source observed=2026-08-01T07:35:43.073140Z digest=sha256:594c3911f5efe9631432c5cc6dc2a69b2ddd1ea5970c642fd74133847e7acad0

Observation 9116e8a6-efc4-41a2-838a-a8505a20d78a · outbound

This paper cites an unresolved cited work.

Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 84

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source=arxiv_source observed=2026-08-01T07:35:43.118484Z digest=sha256:9e437eb46f195c58360a1c161f5fcee54dce6068be7bfd9cf7fe02ec9756d9db

Observation 13d85029-47e1-4f2f-9550-0c9032277fe1 · outbound

This paper cites Estimating committor functions via deep adaptive sampling on rare transition paths , journal =.

Approximating committor functions: Objective functions and training data sampling Estimating committor functions via deep adaptive sampling on rare transition paths , journal =

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source=arxiv_source observed=2026-08-01T07:35:43.234531Z digest=sha256:234a103628adb8a6bdbd3cdba6134768557cb51c4ff326295a73dff0cac3db01

Observation e1eb56a1-6ff5-4518-868d-b70fe57739fb · outbound

This paper cites and Lorpaiboon, Chatipat and Dinner, Aaron R.

Approximating committor functions: Objective functions and training data sampling and Lorpaiboon, Chatipat and Dinner, Aaron R

Reference 86

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source=arxiv_source observed=2026-08-01T07:35:43.353407Z digest=sha256:5a90d1fc8fa1a3d07a8017d65e19740948a19179dfb6b66e75cbd9c32f978929

Observation 9b44023c-4f79-4108-b601-bdf4d33bea62 · outbound

This paper cites Raissi and P.

Approximating committor functions: Objective functions and training data sampling Raissi and P

Reference 87

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source=arxiv_source observed=2026-08-01T07:35:43.441143Z digest=sha256:97ae6b07b4379e2ca4809020901c407bb8be448b6d77057a887f2cf5b4d19f3a

Observation 26b2398e-948c-4f7b-bfef-cd4025e41a4b · outbound

This paper cites 2010 , doi =.

Approximating committor functions: Objective functions and training data sampling 2010 , doi =

Reference 88

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source=arxiv_source observed=2026-08-01T07:35:43.541073Z digest=sha256:22f3305a388ee0b3d9c35b04c394ef05b783825d3701a0bb5ee2f387afbaea68

Observation 675eb653-f551-4237-bb08-3eb0a56e0543 · outbound

This paper cites 2017 , isbn =.

Approximating committor functions: Objective functions and training data sampling 2017 , isbn =

Reference 89

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source=arxiv_source observed=2026-08-01T07:35:43.739365Z digest=sha256:54d3741a1cf51f4e3d962e262ddcd6a101eec679c3acc633258b44fdf864b2bc

Observation d5e738dd-324f-473a-925c-562cc1fcc253 · outbound

This paper cites Calculating free energies using average force , year =.

Approximating committor functions: Objective functions and training data sampling Calculating free energies using average force , year =

Reference 90

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source=arxiv_source observed=2026-08-01T07:35:43.912091Z digest=sha256:16cdab71181a904dd935c45606e1f38fdfa82c5fdf459521fe2820967a009a0f

Observation fb7aa268-0d9d-4458-b6e5-eb92bcf1f5f2 · outbound

This paper cites Laio and M.

Approximating committor functions: Objective functions and training data sampling Laio and M

Reference 91

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source=arxiv_source observed=2026-08-01T07:35:44.091258Z digest=sha256:625021164ebec1ff976eece16e8d43dea69c5db8bf1b80fd98a5b9ea74d89165

Observation e36cdfb3-3222-41ea-9462-7dce678fd578 · outbound

This paper cites Acta Numer.

Approximating committor functions: Objective functions and training data sampling Acta Numer

Reference 92

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source=arxiv_source observed=2026-08-01T07:35:44.287057Z digest=sha256:b65592eba22bca78ea659265bf826a7e457269aa367a7321e69e93fefe28b927

Observation 3bfcc986-a40f-4b03-a8af-98f699f0fc59 · outbound

This paper cites Multiscale Modeling & Simulation , volume =.

Approximating committor functions: Objective functions and training data sampling Multiscale Modeling & Simulation , volume =

Reference 93

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source=arxiv_source observed=2026-08-01T07:35:44.460335Z digest=sha256:f1df9f78fb44321ae077c74b1522c9a2bc4439a3258f968e42172fdfddab1b86

Observation e70b7959-d5df-44e0-99dd-c579fc4e7176 · outbound

This paper cites an unresolved cited work.

Approximating committor functions: Objective functions and training data sampling Unresolved cited work

Reference 94

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source=arxiv_source observed=2026-08-01T07:35:44.581029Z digest=sha256:d1f174db82260ecb0673e9c083d2f144880c47bd35e70c16dfa2f62203670710

Observation 0ca86211-dc6b-45a4-b310-f98ca56c2446 · outbound

This paper cites Journal of Statistical Mechanics: Theory and Experiment , abstract =.

Approximating committor functions: Objective functions and training data sampling Journal of Statistical Mechanics: Theory and Experiment , abstract =

Reference 95

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source=arxiv_source observed=2026-08-01T07:35:44.660809Z digest=sha256:21336f4ba4afaab9ce59ea0bace803620cdd46254fb55179dceeb42816bb7327

Observation 4849445e-483c-4c6e-b648-0c0536ffdb67 · outbound

This paper cites Journal of Chemical Theory and Computation , volume =.

Approximating committor functions: Objective functions and training data sampling Journal of Chemical Theory and Computation , volume =

Reference 96

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source=arxiv_source observed=2026-08-01T07:35:44.724809Z digest=sha256:95da7c18cb2a2074fab115fc8b8081439af51e533ec5a533b66c866448b4a674

Observation c03a40ef-65b6-47e8-9fda-1ef44b87ab20 · outbound

This paper cites Journal of Physics: Condensed Matter , abstract =.

Approximating committor functions: Objective functions and training data sampling Journal of Physics: Condensed Matter , abstract =

Reference 97

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source=arxiv_source observed=2026-08-01T07:35:44.821242Z digest=sha256:65a31e0ca3ea0033a981683098863c819f1a3ec6039ded2149d2f8b1ceb14e90

Observation 6791b96a-0609-47ed-9c0a-f6ed6174cb85 · outbound

This paper cites On the Asymptotic Normality of Adaptive Multilevel Splitting , year =.

Approximating committor functions: Objective functions and training data sampling On the Asymptotic Normality of Adaptive Multilevel Splitting , year =

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source=arxiv_source observed=2026-08-01T07:35:44.897218Z digest=sha256:10ac1248e127dd84edaaf6559f1810c8ee646c19994632211e752262cbf97b4c

Observation 92d92927-7ac5-4775-8286-da69e628545b · outbound

This paper cites Adaptive multilevel splitting for rare event analysis , year =.

Approximating committor functions: Objective functions and training data sampling Adaptive multilevel splitting for rare event analysis , year =

Reference 99

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source=arxiv_source observed=2026-08-01T07:35:44.959112Z digest=sha256:aae67cc3808c71b9285969407c45b936cce6e35477254f9bd858c0513682121d

Observation 880a8777-b8a1-410a-ae20-285ec90147ab · outbound

This paper cites Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =.

Approximating committor functions: Objective functions and training data sampling Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =

Reference 100

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source=arxiv_source observed=2026-08-01T07:35:45.027030Z digest=sha256:13e48ee0759a8fb50fa9b413e9e702f9f5488518516a7abe43101b4eb5ae3893

Observation b891d634-f40e-4779-b3a7-d88fddd860c1 · outbound

This paper cites Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =.

Approximating committor functions: Objective functions and training data sampling Proceedings of the 2nd Mathematical and Scientific Machine Learning Conference , pages =

Reference 101

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source=arxiv_source observed=2026-08-01T07:35:45.137666Z digest=sha256:f16a4c9a66c214be591fb805384b83cf4931163c7c93a5826a0d7d44da31b56c

Observation 02096c4e-78d2-487b-84d1-b2af559c6307 · outbound

This paper cites Tal , journal =.

Approximating committor functions: Objective functions and training data sampling Tal , journal =

Reference 102

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source=arxiv_source observed=2026-08-01T07:35:45.216529Z digest=sha256:f7b5c0dfbae9218b3615d93f4431bf307722f4c9ed14c5f914a180e4dcb05094

Observation 768daee2-bb3f-482d-9416-1db9f499effa · outbound

This paper cites Dinner and Jonathan Weare , keywords =.

Approximating committor functions: Objective functions and training data sampling Dinner and Jonathan Weare , keywords =

Reference 103

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source=arxiv_source observed=2026-08-01T07:35:45.254950Z digest=sha256:c34e4af090d0a3640f2439a81b2681819f71b2897d020779f4a5017fddec307b

Observation a3d75bc3-f2e8-4f80-a6da-befdbaba7f3a · outbound

This paper cites 2dpotentials , year =.

Approximating committor functions: Objective functions and training data sampling 2dpotentials , year =

Reference 104

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source=arxiv_source observed=2026-08-01T07:35:45.324409Z digest=sha256:07bf48f2636a7a4fab005dd82aa63fc7d616e08332767e23301bad6e30749c4f

Observation c5def414-c2cf-4ee6-9eaf-f1b10c980dca · outbound

This paper cites Cameron , howpublished =.

Approximating committor functions: Objective functions and training data sampling Cameron , howpublished =

Reference 105

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source=arxiv_source observed=2026-08-01T07:35:45.391886Z digest=sha256:2d2fcc5677ec1d51b074cdf4bdd967ad9c48a982d143249492add22b57a598e4

Observation 7850ff48-1a8b-4a9c-9ba5-73cd22764b43 · outbound

This paper cites Sharp error estimates for target measure diffusion maps with applications to the committor problem , journal =.

Approximating committor functions: Objective functions and training data sampling Sharp error estimates for target measure diffusion maps with applications to the committor problem , journal =

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source=arxiv_source observed=2026-08-01T07:35:45.454661Z digest=sha256:cd97b950aab22845905fee024176b6f21fc1238314b14dcf8079681afb580c88

Pith citing papers

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