Paper Citation Record · LEDGER

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths

As of 14 August 2026, this Paper Citation Record lists 55 of 55 outbound references and 1 inbound Pith citation observation for arXiv:2501.15522.

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

pith.paper-citation-record.v1
2501.15522 v1

Coverage vector

measured 55 of 55 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-10T14:19:02.302963Z

measured 56 of 56 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-14T06:32:32.682623+00:00

measured 1 of 1 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-12T00:34:11.608033Z

measured 0 of 1 external citation measurements

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

Source: pith, observed 2026-08-12T00:34:12.344744Z

Reference resolution

55 of 55 outbound references displayed

verified exact1
verified fuzzy16
unresolved38
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 669e15bc-96d6-4485-98c3-7c6e9e687d8f · outbound

This paper cites Okuyama-Yoshida, M.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Okuyama-Yoshida, M

Reference 1

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Observation d2729023-8d34-42f9-871d-d70c9a8d4eaa · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 2

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Observation b195f410-9620-476f-b6ab-2a5b00a67972 · outbound

This paper cites Berteotti, A.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Berteotti, A

Reference 3

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This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 4

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 5

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 6

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Observation 8dd46b2f-6e2d-40b1-8a8d-ad0ee90f3048 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 7

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 8

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 9

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Observation 2dd0e3aa-89a3-4ec1-a69d-70407cf04b3a · outbound

This paper cites A semigroup method for high dimensional committor functions based on neural network.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths A semigroup method for high dimensional committor functions based on neural network

Reference 10

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Observation 18c98d9b-fa5d-4be0-8a15-5518b0d59537 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 11

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Observation ddc2eca0-b9e0-42f4-b14a-448563bbc652 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 12

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Observation 84f0e72c-b497-445c-add4-17ce6d53ca61 · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 13

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Observation 42cee6a4-78db-4ac5-95e8-261fe3edbd72 · outbound

This paper cites Deep Learning Method for Computing Committor Functions with Adaptive Sampling.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Deep Learning Method for Computing Committor Functions with Adaptive Sampling

Reference 14

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 15

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 16

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Observation 15d6b8df-eda4-4a27-a33e-1b52870bc80a · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 17

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 18

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 19

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 20

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Observation edb3ae21-b96e-4abf-9483-f315277b51dd · outbound

This paper cites Czibula, A.-I.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Czibula, A.-I

Reference 21

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Observation 0d16f043-8e9e-45fb-9f85-fb4d04b67f1c · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 22

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Observation 34a9f733-1edb-4c45-b8f4-d101523efbdc · outbound

This paper cites Hawkins-Hooker, F.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Hawkins-Hooker, F

Reference 23

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Observation 9584b8c4-4b61-49a4-8a9a-a36dc9fb62f4 · outbound

This paper cites Sirignano, K.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Sirignano, K

Reference 24

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Observation 92d57c7c-2eb2-4d50-91e1-a28f1afda530 · outbound

This paper cites Raissi, P.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Raissi, P

Reference 25

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 26

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 27

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Observation c6d7f671-6ae7-4487-8574-8b3eff7e1926 · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 28

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 29

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Observation e2362a51-8f5c-4dea-8b3e-35bd8be6c988 · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 30

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Observation 2ed7cde9-9a59-404a-a1d4-82484d9528fc · outbound

This paper cites Bussi, A.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Bussi, A

Reference 31

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Observation aa76a346-506c-44f2-ac3d-ab00c15d9a64 · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 32

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Observation 3a3e53f8-7d9c-4d76-8245-1588f176b148 · outbound

This paper cites Density estimation using Real NVP.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Density estimation using Real NVP

Reference 33

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 34

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 35

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 36

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 37

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 38

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Observation 6a7e1b28-0752-4194-95cc-4a7324fca4c4 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 39

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Observation bc23e3a9-dee7-480a-8c56-b570f5a73936 · outbound

This paper cites De Boer, D.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths De Boer, D

Reference 40

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Observation df2776ec-7dfc-414b-a9de-2cc686cee259 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 41

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Observation a9c72ae9-711c-4cd1-a9d5-355d2b05f587 · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Fiorin, M

Reference 42

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Observation 345ca417-adc0-4c40-b5b2-6adc9d3b9650 · outbound

This paper cites Schrödinger, The PyMOL Molecular Graphics System, Version 1.8., (No Title) (2015).

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Schrödinger, The PyMOL Molecular Graphics System, Version 1.8., (No Title) (2015)

Reference 43

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Observation 71ab8cb8-5926-4f02-8dd4-ce2a7513c69f · outbound

This paper cites Alnæs, J.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Alnæs, J

Reference 44

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Observation 758cb506-a68c-42d2-b3d5-eaff296a25d9 · outbound

This paper cites Logg, K.-A.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Logg, K.-A

Reference 45

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Observation c0ab25f4-20e8-496b-b4c7-951402e293bd · outbound

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Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Hartmann, O

Reference 46

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Observation 1d298b6d-d688-40dc-91d5-68a64a24d3e2 · outbound

This paper cites Nüsken, L.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Nüsken, L

Reference 47

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Source-reported events for the cited work

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Observation 2f824385-1db9-4950-8352-7feea73b950c · outbound

This paper cites Vershynin, High-dimensional probability: An introduction with applications in data science, Vol.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Vershynin, High-dimensional probability: An introduction with applications in data science, Vol

Reference 48

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Observation ce7f9488-6bd3-4858-abe6-29d9ddb8dc38 · outbound

This paper cites Ma, High-dimensional data analysis with low-dimensional models: Principles, Computation, and Applications, Cambridge University Press, 2022.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Ma, High-dimensional data analysis with low-dimensional models: Principles, Computation, and Applications, Cambridge University Press, 2022

Reference 49

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Source-reported events for the cited work

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Observation 81f1bc89-ef2a-46bc-82f5-8d82dc1512d1 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 50

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Observation 6f6d41c2-ac5f-4dd5-8ff0-e9e69ccd2a45 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 51

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Observation 9eb9921a-676c-45bb-9d4c-89b864206537 · outbound

This paper cites an unresolved cited work.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Unresolved cited work

Reference 52

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-14T06:32:32.682623+00:00.

Observation 8e01a57f-c3f2-4c21-92b4-e6a58edba9a2 · outbound

This paper cites UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths UMAP: Uniform Manifold Approximation and Projection for Dimension Reduction

Reference 53

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Source-reported events for the cited work

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Observation 1923ac7f-40c6-48de-9d11-404ca78e6c2d · outbound

This paper cites Bounded KRnet and its applications to density estimation and approximation.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Bounded KRnet and its applications to density estimation and approximation

Reference 54

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 8ab28744-3068-413e-9a7c-52651e158554 · outbound

This paper cites Eastman, J.

Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths Eastman, J

Reference 55

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Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models cites this paper.

Commitment Before Realization: When Classifier-Free Guidance Becomes Unnecessary in Masked Diffusion Language Models Estimating Committor Functions via Deep Adaptive Sampling on Rare Transition Paths

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