Paper Citation Record · LEDGER

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation

As of 11 August 2026, this Paper Citation Record lists 42 of 42 outbound references and 0 inbound Pith citation observations for arXiv:2502.06829.

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

pith.paper-citation-record.v1
2502.06829 v2

Coverage vector

measured 42 of 42 reference resolution

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Source: paper_references, paper_reference_links, observed 2026-08-09T05:38:54.523058Z

measured 42 of 42 standing notices

One-hop event checks from named stored sources.

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Pith citing papers itemized under the disclosed page cap.

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measured 0 of 1 external citation measurements

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

Source: cited_works

Reference resolution

42 of 42 outbound references displayed

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verified fuzzy23
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External citation measurements

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Outbound references

Observation 88d6005e-731e-40cd-9af5-990ea8366c8d · outbound

This paper cites Linear stochastic differential equation models for panel data with unobserved variables.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Linear stochastic differential equation models for panel data with unobserved variables

Reference 1

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.758667Z

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Observation ae827588-8827-4e45-b90e-06a3c70b8f53 · outbound

This paper cites and Mazumdar, R.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation and Mazumdar, R

Reference 2

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.747504Z

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Observation 3f737800-a1ef-4705-b8e2-2644a867b00a · outbound

This paper cites E., Finley, A.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation E., Finley, A

Reference 3

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.737846Z

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Observation bb1b0719-a650-4f34-a205-3b527fc42c2f · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 4

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

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This paper cites Numerical methods for strong solutions of stochastic differential equations: an overview.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Numerical methods for strong solutions of stochastic differential equations: an overview

Reference 6

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.715413Z

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Observation dfae2fe1-ceb0-4766-bf20-1c4c12ce0188 · outbound

This paper cites Deconvolutional density network: Modeling free-form conditional distributions.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Deconvolutional density network: Modeling free-form conditional distributions

Reference 7

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.619913Z

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Observation ce3fa55d-0619-4b8b-9203-823d302c4735 · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 8

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 9

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Observation 565e30d0-7305-4dc7-bda2-50134dfa06d9 · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 10

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Observation 30e73364-5022-4d46-a8f8-32656f320141 · outbound

This paper cites an unresolved cited work.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 11

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Observation 05208c43-3ea5-48b0-a4d1-d596f5c8875c · outbound

This paper cites Stochastic modeling in economics and finance, volume 75.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Stochastic modeling in economics and finance, volume 75

Reference 12

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.374402Z

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Observation c15c534a-a294-4e42-82ef-34e067e3454b · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 13

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Observation e3e33ad1-c0df-4aac-82ec-3db3b7f11fdb · outbound

This paper cites An introduction to probability theory and its applications, Volume 2, volume 81.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation An introduction to probability theory and its applications, Volume 2, volume 81

Reference 14

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.357114Z

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Observation 0e494411-011b-4b43-84a6-68ed56d63377 · outbound

This paper cites W., Rezende, D., and Eslami, S.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation W., Rezende, D., and Eslami, S

Reference 15

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Observation 20b42b00-dc76-4d66-a922-db14ebcad9d6 · outbound

This paper cites Discrete-time markov chain approach to contact-based disease spreading in complex networks.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Discrete-time markov chain approach to contact-based disease spreading in complex networks

Reference 16

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.337385Z

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

Observation 81f62671-2084-409b-aa2c-10314a38a3b6 · outbound

This paper cites and Urbach, P.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation and Urbach, P

Reference 17

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.326797Z

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 6127a261-4c19-40b0-b049-aa6d3c39dabf · outbound

This paper cites Multifractal analysis of financial markets: A review.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Multifractal analysis of financial markets: A review

Reference 18

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.284746Z

Source-reported events for the cited work

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Observation d4c3cde6-cb89-475f-a144-d1ed14cd130a · outbound

This paper cites Robust gaussian process regression with a student-t likelihood.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Robust gaussian process regression with a student-t likelihood

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.265402Z

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Observation f10d4392-a601-4991-949d-e5b2886f8b50 · outbound

This paper cites E., Platen, E., Kloeden, P.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation E., Platen, E., Kloeden, P

Reference 20

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Observation 149ec171-59cc-413b-bc90-b5979b17c6b9 · outbound

This paper cites Bayesian warped gaussian processes.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Bayesian warped gaussian processes

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.185967Z

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

Observation 1be46b49-0e44-4433-b7db-258d172fa1d5 · outbound

This paper cites Gradient-based learning applied to document recognition.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Gradient-based learning applied to document recognition

Reference 22

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Source-reported events for the cited work

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Observation 6e675892-3fa7-4420-a9bc-0d00f39d87ec · outbound

This paper cites Stabilization of continuous-time hybrid stochastic differential equations by discrete-time feedback control.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Stabilization of continuous-time hybrid stochastic differential equations by discrete-time feedback control

Reference 23

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.054916Z

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

Observation 23c984e6-41cc-406c-a4e0-d48587c5b28f · outbound

This paper cites Markovsses: estimation, optimisation and analysis.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Markovsses: estimation, optimisation and analysis

Reference 24

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.018614Z

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 8e8240e4-1f00-4d36-8b1e-bcbf318d8adf · outbound

This paper cites N., Madsen, H., and Young, P.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation N., Madsen, H., and Young, P

Reference 25

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:55.008004Z

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 1a5f6975-0e6b-4ca4-b028-ca91ba09f0dd · outbound

This paper cites Stochastic control theory.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Stochastic control theory

Reference 26

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.997612Z

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 33305606-9d5d-48cf-b648-454ac989f132 · outbound

This paper cites Stochastic differential equations: an introduction with applications.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Stochastic differential equations: an introduction with applications

Reference 27

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.987934Z

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 ae101aea-7629-4d90-b7fc-aabf881afd61 · outbound

This paper cites V., Jonsson, N., Torn e, C.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation V., Jonsson, N., Torn e, C

Reference 28

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.977923Z

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 9c6392e0-6411-438c-8bf2-efb00c3f1f0d · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 29

Resolution: unresolved; raw_fallback, observed 2026-08-09T05:38:54.967128Z

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

Observation b026bc2d-06f9-4203-b8e8-6026299aa2ad · outbound

This paper cites An introduction to numerical methods for stochastic differential equations.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation An introduction to numerical methods for stochastic differential equations

Reference 30

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.957046Z

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

Observation 683c1444-d719-47a7-a781-b93b2ef57538 · outbound

This paper cites Efficient approximation of sdes driven by countably dimensional wiener process and poisson random measure.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Efficient approximation of sdes driven by countably dimensional wiener process and poisson random measure

Reference 31

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.944776Z

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 b18f7358-9579-4065-bc63-e0c76e6cdaa6 · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 32

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Observation 3e25314f-3e62-4645-97db-ae44678e5cf5 · outbound

This paper cites On markovsses in biology.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation On markovsses in biology

Reference 33

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.923159Z

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Observation e4b1eaa1-315a-4bcf-8aae-3a51d5e47aa7 · outbound

This paper cites E., Hinton, G.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation E., Hinton, G

Reference 34

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Gaussian processes for machine learning

Reference 35

Resolution: unresolved; no resolver link, observed 2026-08-09T05:38:54.498754Z

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This paper cites Student-t processes as alternatives to gaussian processes.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Student-t processes as alternatives to gaussian processes

Reference 36

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.826502Z

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

Observation a375c649-ff13-4449-9b6b-775c058f8b09 · outbound

This paper cites Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Stream Members Only: Data-Driven Characterization of Stellar Streams with Mixture Density Networks

Reference 37

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Observation b65b1175-087b-4774-ad46-c49be2f0c181 · outbound

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Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Unresolved cited work

Reference 38

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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 c4d29ecf-c4a6-4c5c-a8a2-3c68231d84ad · outbound

This paper cites Numerical methods for stochastic differential equations.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Numerical methods for stochastic differential equations

Reference 39

Resolution: verified fuzzy; raw_fallback, observed 2026-08-09T05:38:54.592824Z

Source-reported events for the cited work

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Observation e6d4594f-dc36-4da2-b12a-8236f41901bf · outbound

This paper cites and Rasmussen, C.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation and Rasmussen, C

Reference 40

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This paper cites Gaussian Process Regression Networks.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation Gaussian Process Regression Networks

Reference 41

Resolution: verified exact; local_arxiv, observed 2026-08-09T05:38:54.556820Z

Source-reported events for the cited work

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Observation 7d0e28ca-d411-49d1-a204-17c832643be3 · outbound

This paper cites write newline.

Convolution-Based Converter : A Weak-Prior Approach For Modeling Stochastic Processes Based On Conditional Density Estimation write newline

Reference 42

Resolution: unresolved; no resolver link, observed 2026-08-09T05:38:54.523058Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Pith citing papers

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