Paper Citation Record · LEDGER

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations

As of 11 August 2026, this Paper Citation Record lists 68 of 68 outbound references and 2 inbound Pith citation observations for arXiv:2508.03839.

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

pith.paper-citation-record.v1
2508.03839 v1

Coverage vector

measured 68 of 68 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:14:00.311134Z

measured 70 of 70 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-11T06:34:44.6726+00:00

measured 2 of 2 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links, observed 2026-08-06T04:16:27.970183Z

measured 0 of 1 external citation measurements

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

Source: arxiv_reference, observed 2026-07-04T14:39:58.504186Z

Reference resolution

68 of 68 outbound references displayed

verified exact0
verified fuzzy47
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External citation measurements

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Outbound references

Observation 035d2a00-97e3-40a5-8f88-4c69d2825245 · outbound

This paper cites Springer, 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Springer, 2003

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:09.807675Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a887bd5d-d6df-4ca2-9953-7b157ebd7cd8 · outbound

This paper cites Efficient Concentration with Gaussian Approximation.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Efficient Concentration with Gaussian Approximation

Reference 2

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:53.680348Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation db4e463d-7ec3-4516-bd7f-8c43c15e41f2 · outbound

This paper cites Change-point analysis in financial networks.Stat, 9(1):e269, 2020.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Change-point analysis in financial networks.Stat, 9(1):e269, 2020

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:09.670150Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 66cc3a71-eced-407a-b219-07864abf96ff · outbound

This paper cites Koml´ os–Major–Tusn´ ady approximation under dependence.The Annals of Probability, 42(2):794–817, 2014.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Koml´ os–Major–Tusn´ ady approximation under dependence.The Annals of Probability, 42(2):794–817, 2014

Reference 4

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:09.421569Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a30b39e5-001e-4628-95b0-e82e4be568bb · outbound

This paper cites On strong embeddings by Stein’s method.Electronic Journal of Probability, 21(none):1 – 30, 2016.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations On strong embeddings by Stein’s method.Electronic Journal of Probability, 21(none):1 – 30, 2016

Reference 5

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:09.228772Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f70940d5-8d9d-4019-b65d-8c563594cf17 · outbound

This paper cites an unresolved cited work.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Unresolved cited work

Reference 6

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:14:09.018509Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation faf5410d-9e89-4019-94a8-b9eae164168b · outbound

This paper cites Rates in the Central Limit Theorem and diffusion approximation via Stein's Method.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Rates in the Central Limit Theorem and diffusion approximation via Stein's Method

Reference 7

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:54.136752Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7e03bb8-7712-4924-8b7d-f30e6fcb3637 · outbound

This paper cites an unresolved cited work.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Unresolved cited work

Reference 8

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:54.203066Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 33b51a8e-c4cb-47d8-9733-88a163d3149b · outbound

This paper cites Improved rates of convergence for the multivariate Central Limit Theorem in Wasserstein distance.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Improved rates of convergence for the multivariate Central Limit Theorem in Wasserstein distance

Reference 9

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:54.278557Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation a2d3a202-9cdb-4ad8-ab83-0b4a25409271 · outbound

This paper cites Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution.NeuroImage, 20(2):643–656, 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Automatic change detection in multimodal serial MRI: application to multiple sclerosis lesion evolution.NeuroImage, 20(2):643–656, 2003

Reference 10

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:08.789856Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 04d9a0ad-0507-44b5-bfcb-c45d03aa3482 · outbound

This paper cites Simulation of Brownian motion at first-passage times.Math- ematics and Computers in Simulation, 77(1):64–71, 2008.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Simulation of Brownian motion at first-passage times.Math- ematics and Computers in Simulation, 77(1):64–71, 2008

Reference 11

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:08.597121Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d7b8d712-8d5d-4b77-a343-1f97ccf84e30 · outbound

This paper cites Bounds on the running maximum of a random walk with small drift.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Bounds on the running maximum of a random walk with small drift

Reference 12

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:54.538871Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation c6867601-1302-43d1-8cf6-33bfc27f0df1 · outbound

This paper cites Strong approximations of bivariate uniform empirical processes.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Strong approximations of bivariate uniform empirical processes

Reference 13

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:08.439430Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 141ad869-3a93-43a2-aab4-21adab9567e4 · outbound

This paper cites A new approach to strong embeddings.Probability Theory and Related Fields, 152(1-2):231–264, 2012.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations A new approach to strong embeddings.Probability Theory and Related Fields, 152(1-2):231–264, 2012

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:08.196844Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation cb37c1e9-4096-4cc0-b497-2b25ad86dd15 · outbound

This paper cites Inference of breakpoints in high-dimensional time series.Journal of the American Statistical Association, 117(540):1951–1963, 2022.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Inference of breakpoints in high-dimensional time series.Journal of the American Statistical Association, 117(540):1951–1963, 2022

Reference 15

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:07.997869Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9f546998-01f8-4bea-b801-f07bc5c19180 · outbound

This paper cites From stein identities to moderate deviations.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations From stein identities to moderate deviations

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:07.766815Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 6cee9a47-9d12-447e-9164-7ccfeeb065bf · outbound

This paper cites Some applications of first-passage ideas to finance, 2013.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Some applications of first-passage ideas to finance, 2013

Reference 17

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:55.078165Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6c60221e-41bb-42eb-be0e-3abe3413c000 · outbound

This paper cites Sharp bounds on the absolute moments of a sum of two iid random variables.The Annals of Probability, pages 765–771, 1983.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Sharp bounds on the absolute moments of a sum of two iid random variables.The Annals of Probability, pages 765–771, 1983

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:07.585022Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e5afcefc-ff23-4cd0-99a3-20c5b7019665 · outbound

This paper cites Sur un nouveau th´ eoreme-limite de la th´ eorie des probabilit´ es.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Sur un nouveau th´ eoreme-limite de la th´ eorie des probabilit´ es

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:07.324617Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8872d15d-11fb-497d-86fb-5cf605ec117d · outbound

This paper cites Simulation of first-passage times for alternating Brownian motions.Methodology and Computing in Applied Probability, 7(2):161–181, 2005.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Simulation of first-passage times for alternating Brownian motions.Methodology and Computing in Applied Probability, 7(2):161–181, 2005

Reference 20

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:07.095219Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8450e642-9d89-49af-8d77-344fff0863bd · outbound

This paper cites Bounds for the absolute third moment.Scandinavian Journal of Statistics, pages 149–152, 1975.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Bounds for the absolute third moment.Scandinavian Journal of Statistics, pages 149–152, 1975

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.901753Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation bd6e6dda-40d3-48be-955d-639ec8e8d64d · outbound

This paper cites Fromp-wasserstein bounds to moderate deviations.Electronic Journal of Probability, 28:1–52, 2023.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Fromp-wasserstein bounds to moderate deviations.Electronic Journal of Probability, 28:1–52, 2023

Reference 22

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.744466Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 72bc6932-1bc1-410a-b93e-4384b1e8e10f · outbound

This paper cites Retracted chapter: Generalization of a probability limit theorem of cram´ er.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Retracted chapter: Generalization of a probability limit theorem of cram´ er

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.589688Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5250e35d-369b-40a6-95e3-a47bc67f0863 · outbound

This paper cites Multiscale change point inference.Journal of the Royal Statistical Society Series B: Statistical Methodology, 76(3):495–580, 2014.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Multiscale change point inference.Journal of the Royal Statistical Society Series B: Statistical Methodology, 76(3):495–580, 2014

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.395872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 281d7f57-acb1-49d4-aaf0-5f683570f918 · outbound

This paper cites Random walk models for the spike activity of a single neuron.Biophysical journal, 4(1):41–68, 1964.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Random walk models for the spike activity of a single neuron.Biophysical journal, 4(1):41–68, 1964

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.229491Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 17fa2e4e-61ff-4959-bac9-25368df64268 · outbound

This paper cites Cambridge University Press, 2014.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Cambridge University Press, 2014

Reference 26

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:55.905263Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 63ee4565-67a7-4075-a758-1fde8378b3ed · outbound

This paper cites Bayesian online change point detection in finance.Financial Internet Quarterly, 17(4):27–33, 2021.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Bayesian online change point detection in finance.Financial Internet Quarterly, 17(4):27–33, 2021

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:06.034388Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d334ae87-3335-420e-b00a-5a0bd147f76f · outbound

This paper cites Springer Science & Business Media, 2012.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Springer Science & Business Media, 2012

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:05.913318Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f38df772-b2fd-4b12-8bf4-d597aca72ba8 · outbound

This paper cites Courier Corporation, 2012.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Courier Corporation, 2012

Reference 29

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:05.653062Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a959bf94-d3a9-4304-8d3c-28e3c237a8d8 · outbound

This paper cites Self-normalized cram´ er-type large deviations for independent random variables.The Annals of probability, 31(4):2167–2215, 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Self-normalized cram´ er-type large deviations for independent random variables.The Annals of probability, 31(4):2167–2215, 2003

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:05.412332Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 107d4fd7-50a0-456a-bc50-443756970a69 · outbound

This paper cites Springer Science & Business Media, 2012.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Springer Science & Business Media, 2012

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:05.167144Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4bb65565-7292-4e14-b78f-1c1eced83855 · outbound

This paper cites Dynkin ′ s Games and Israeli Options.International Scholarly Research Notices, 2013(1):856458, 2013.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Dynkin ′ s Games and Israeli Options.International Scholarly Research Notices, 2013(1):856458, 2013

Reference 32

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:04.881239Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ab379614-7db5-465a-b7b4-98cd65f755d1 · outbound

This paper cites An approximation of partial sums of independent R V’-s, and the sample DF.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations An approximation of partial sums of independent R V’-s, and the sample DF

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:04.594436Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5d9320c4-ac1a-4dae-b34c-892fb86b9da9 · outbound

This paper cites An approximation of partial sums of independent R V’s, and the sample DF.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations An approximation of partial sums of independent R V’s, and the sample DF

Reference 34

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:04.355424Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 666ac376-e542-4b52-a29d-9b5d08d132e4 · outbound

This paper cites A jump-diffusion model for option pricing.Management science, 48(8):1086–1101, 2002.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations A jump-diffusion model for option pricing.Management science, 48(8):1086–1101, 2002

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:04.204870Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9033b867-ea47-4211-9ad9-cda6be258130 · outbound

This paper cites First exit time of a random walk from the boundsf(n)±cg(n), with applications.The Annals of Probability, 7(4):672–692, 1979.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations First exit time of a random walk from the boundsf(n)±cg(n), with applications.The Annals of Probability, 7(4):672–692, 1979

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:04.066431Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 33e33659-b0d7-4d67-815b-ebf9b761f018 · outbound

This paper cites Optimal stopping and embedding.Journal of applied probability, 37(4):1143–1148, 2000.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Optimal stopping and embedding.Journal of applied probability, 37(4):1143–1148, 2000

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.985137Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8e1c2302-9d37-469a-be96-50dc3d037396 · outbound

This paper cites Habilitation ` a diriger des recherches, Universit´ e de Lille Nord de France, February 2019.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Habilitation ` a diriger des recherches, Universit´ e de Lille Nord de France, February 2019

Reference 38

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.922744Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0a65937c-db69-42b3-b862-a672beed37df · outbound

This paper cites The approximation of partial sums of independent rv’s.Zeitschrift f¨ ur Wahrschein- lichkeitstheorie und verwandte Gebiete, 35(3):213–220, 1976.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations The approximation of partial sums of independent rv’s.Zeitschrift f¨ ur Wahrschein- lichkeitstheorie und verwandte Gebiete, 35(3):213–220, 1976

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.784356Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 9a1184a9-3483-4fff-89df-85e2baa4c18a · outbound

This paper cites Online Bayesian change point detection algorithms for segmentation of epileptic activity.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Online Bayesian change point detection algorithms for segmentation of epileptic activity

Reference 40

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.623953Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation a1eafe7b-ad71-4322-a4a3-9a1b8d7373df · outbound

This paper cites Sharp Empirical Bernstein Bounds for the Variance of Bounded Random Variables.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Sharp Empirical Bernstein Bounds for the Variance of Bounded Random Variables

Reference 41

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:57.429821Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation e99e1c0a-f8ac-43a0-8e4c-0a7b55d2562c · outbound

This paper cites Quantile coupling inequalities and their applications.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Quantile coupling inequalities and their applications

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:57.506463Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 410bd02b-15bd-42ce-8613-0c38b7a967cb · outbound

This paper cites Sequential Gaussian approximation for nonstationary time series in high dimensions.Bernoulli, 29(4):3114–3140, 2023.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Sequential Gaussian approximation for nonstationary time series in high dimensions.Bernoulli, 29(4):3114–3140, 2023

Reference 43

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.462574Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4e8861b8-62b2-4c3c-8cf7-930a59b59c9e · outbound

This paper cites John wiley & sons, 2020.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations John wiley & sons, 2020

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:57.674936Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6f7e00c7-53ac-4b6c-82d9-c40c29a10b97 · outbound

This paper cites Some inequalities for the distribution of sums of independent random variables.Theory of Probability & Its Applications, 22(2):248–256, 1978.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Some inequalities for the distribution of sums of independent random variables.Theory of Probability & Its Applications, 22(2):248–256, 1978

Reference 45

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.316872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e7837efc-f6fc-4dbc-9683-46f48b4d76ef · outbound

This paper cites Asymptotic equivalence of density estimation and Gaussian white noise.The Annals of Statistics, pages 2399–2430, 1996.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Asymptotic equivalence of density estimation and Gaussian white noise.The Annals of Statistics, pages 2399–2430, 1996

Reference 46

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.149872Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation e670e80c-ab41-4661-8c75-3dd7d5d6c848 · outbound

This paper cites A note on Burkholder-Rosenthal inequality.Bull.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations A note on Burkholder-Rosenthal inequality.Bull

Reference 47

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:03.019049Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 8409fde2-e3a6-466a-b0dc-8f9ac1b26a78 · outbound

This paper cites Generalization of an inequality by Talagrand and links with the logarithmic Sobolev inequality.Journal of Functional Analysis, 173(2):361–400, 2000.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Generalization of an inequality by Talagrand and links with the logarithmic Sobolev inequality.Journal of Functional Analysis, 173(2):361–400, 2000

Reference 48

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:58.094377Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation f7bad74b-82f4-4150-8407-441d828114cd · outbound

This paper cites Continuous inspection schemes.Biometrika, 41(1/2):100–115, 1954.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Continuous inspection schemes.Biometrika, 41(1/2):100–115, 1954

Reference 49

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:58.213243Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 83678556-6b02-4979-9c23-8a0822ba7ef9 · outbound

This paper cites an unresolved cited work.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Unresolved cited work

Reference 50

Resolution: unresolved; raw_fallback, observed 2026-08-06T04:14:02.864972Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 36cf916b-4786-4b34-83a2-7540daed40af · outbound

This paper cites Springer Science & Business Media, 2012.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Springer Science & Business Media, 2012

Reference 51

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:58.394383Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 1a6a9894-aacd-4ab3-b411-a51762c5d947 · outbound

This paper cites Probability bounds for first exits through moving boundaries.The Annals of Probability, pages 106–117, 1978.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Probability bounds for first exits through moving boundaries.The Annals of Probability, pages 106–117, 1978

Reference 52

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.731837Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d902829b-1f90-4251-8731-daecbe2ac58a · outbound

This paper cites John Wiley & Sons, 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations John Wiley & Sons, 2003

Reference 53

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:58.600742Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation fbba294c-9a17-4a10-95dc-519494f253d0 · outbound

This paper cites Moment inequalities for sums of dependent random variables under projective conditions.Journal of Theoretical Probability, 22(1):146–163, 2009.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Moment inequalities for sums of dependent random variables under projective conditions.Journal of Theoretical Probability, 22(1):146–163, 2009

Reference 54

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.543459Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation ee767303-ae64-46d0-9b3f-6111a4ff2f97 · outbound

This paper cites A remark on Stirling’s formula.The American mathematical monthly, 62(1):26– 29, 1955.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations A remark on Stirling’s formula.The American mathematical monthly, 62(1):26– 29, 1955

Reference 55

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.431458Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation b49ba4db-37ee-4b0e-9738-5f8695d70dc3 · outbound

This paper cites On the accuracy of normal approximation in the invariance principle.Matematicheskie Trudy, 13:40–66, 1989.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations On the accuracy of normal approximation in the invariance principle.Matematicheskie Trudy, 13:40–66, 1989

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.307086Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation f53c2363-5a2b-4853-b0e9-762683941240 · outbound

This paper cites Reducing sequential change detection to sequential estimation.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Reducing sequential change detection to sequential estimation

Reference 57

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:58.981514Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0d5e04ac-6ce0-4ba8-873f-78531c463f10 · outbound

This paper cites Springer, 2004.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Springer, 2004

Reference 58

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.179908Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 3789902b-67ec-445e-824b-04d7b4d1ccae · outbound

This paper cites Staudacher, S.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Staudacher, S

Reference 59

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:02.023185Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation d3723309-ad58-4df3-b4ea-0ed5a0b92b5e · outbound

This paper cites John Wiley & Sons, 2001.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations John Wiley & Sons, 2001

Reference 60

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:01.844851Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 96a77237-fb32-45ed-8ebd-a93bdd308137 · outbound

This paper cites Survival Multiarmed Bandits with Bootstrapping Methods.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Survival Multiarmed Bandits with Bootstrapping Methods

Reference 61

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:59.361814Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 6492fea4-946c-4db1-951a-12adfa72ba3b · outbound

This paper cites American Mathematical Soc., 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations American Mathematical Soc., 2003

Reference 62

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:59.504338Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation d3d0d7f1-23ca-48b2-9cb3-0cbb18000cf8 · outbound

This paper cites The rate of convergence of the binomial tree scheme.Finance and Stochastics, 7(3):337–361, 2003.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations The rate of convergence of the binomial tree scheme.Finance and Stochastics, 7(3):337–361, 2003

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:01.706865Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 0351c1d8-c5ea-40a5-a1b0-40aa8ea9ca0d · outbound

This paper cites Distribution-uniform anytime- valid sequential inference.arXiv preprint arXiv:2311.03343, 2023.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Distribution-uniform anytime- valid sequential inference.arXiv preprint arXiv:2311.03343, 2023

Reference 64

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:59.737737Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 10a38bf1-0170-4fb0-941f-b132844931e6 · outbound

This paper cites Nonasymptotic and distribution- uniform Koml´ os–Major–Tusn´ ady approximation.arXiv preprint arXiv:2502.06188, 2025.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Nonasymptotic and distribution- uniform Koml´ os–Major–Tusn´ ady approximation.arXiv preprint arXiv:2502.06188, 2025

Reference 65

Resolution: unresolved; no resolver link, observed 2026-08-06T04:13:59.891409Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation b0987185-aed1-4c4c-9682-fae9f95f51fc · outbound

This paper cites Estimating means of bounded random variables by betting.Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(1):1–27, 2024.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Estimating means of bounded random variables by betting.Journal of the Royal Statistical Society Series B: Statistical Methodology, 86(1):1–27, 2024

Reference 66

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:01.537492Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 4b82fc2f-b6aa-438e-a050-ec752c0d3720 · outbound

This paper cites Some current directions in the theory and application of statistical process monitoring.Journal of quality technology, 46(1):78–94, 2014.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Some current directions in the theory and application of statistical process monitoring.Journal of quality technology, 46(1):78–94, 2014

Reference 67

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:01.287813Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Observation 5386f057-cd97-4d95-9e1e-84a90876b992 · outbound

This paper cites Adaptive change detection in heart rate trend monitoring in anesthetized children.IEEE transactions on biomedical engineering, 53(11):2211–2219, 2006.

VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations Adaptive change detection in heart rate trend monitoring in anesthetized children.IEEE transactions on biomedical engineering, 53(11):2211–2219, 2006

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-06T04:14:01.096572Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.

Pith citing papers

Observation 0241e36b-08eb-406b-b354-63d25a6569c3 · inbound

A Numerical Procedure for the Determination of the Pursuit Curve of Objects with Uniformly Accelerated Motion cites this paper.

A Numerical Procedure for the Determination of the Pursuit Curve of Objects with Uniformly Accelerated Motion VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations

Reference 1

Resolution: unresolved; no resolver link, observed 2026-08-06T04:16:27.970183Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation cf230107-83f6-473e-92fb-adabd9213783 · inbound

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems cites this paper.

Latent Diffusion Posterior Sampling with Surrogate Likelihood Guidance for PDE Inverse Problems VAE-DNN: Energy-Efficient Trainable-by-Parts Surrogate Model For Parametric Partial Differential Equations

Reference 10

Resolution: verified exact; arxiv_id, observed 2026-07-04T14:39:58.505853Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-11T06:34:44.6726+00:00.