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Paper Citation Record · LEDGER

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

As of 12 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

Typed states for the displayed outbound observations.

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.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-12T06:34:41.77262+00:00

measured 0 of 0 inbound itemization

Pith citing papers itemized under the disclosed page cap.

Source: paper_references, paper_reference_links

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
  • unresolved17
  • parse uncertain0
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External citation measurements

No source-named external measurement is stored.

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.003365Z digest=sha256:549758fafbc907a74526d636bb4e75a4085133b7c125077c122f54c64de71ba2

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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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

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verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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

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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.015643Z digest=sha256:24dcdb5ce189d061131f767eba999803fd427287649f6e775a5a4e624529f552

Observation 1d66903e-b6b5-431e-a624-d775e6b69fd0 · 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 5

Resolution
unresolved
no resolver link, observed 2026-08-09T05:38:54.020827Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.020827Z digest=sha256:571bb5e11ac1840d3454a4b68b140c063d1826ccfc88de0e4acf3678a490785b

Observation 94e75e8c-0c1f-45bb-99ed-a9751c918da1 · outbound

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation ce3fa55d-0619-4b8b-9203-823d302c4735 · 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 8

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 5e5611c5-975b-4a2c-b36e-fe90dffafa28 · 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 9

Resolution
unresolved
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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Observation 565e30d0-7305-4dc7-bda2-50134dfa06d9 · 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 10

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unresolved
raw_fallback, observed 2026-08-09T05:38:55.402649Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.039424Z digest=sha256:ae8c699f8b27ecb223dd07464b042964ea75ada098b50890a1ed34033dd64d08

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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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.042896Z digest=sha256:f8a5664bfe9500144ce866bdec87f8838c6f43e1e586fabde67e89afc7ab751a

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.046569Z digest=sha256:443e971fb9431a9f587da9c3467cc555b4828a8523904296c09a138503ac6623

Observation c15c534a-a294-4e42-82ef-34e067e3454b · 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 13

Resolution
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

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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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.053579Z digest=sha256:b19cb3b7e7ba5fa357ab7a15b56888e2ddf9fe0fb94a3a5fee1fb744f828b270

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

Resolution
unresolved
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Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.056658Z digest=sha256:708107b1bd8fff111d0599b1f48cebd8d618ffd46fb502a06fd1450a92ef279b

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.059524Z digest=sha256:13fe829da6b858a8b6648e1677f57252637ec3a5bc5a305a3b2d5887d4a6faf4

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.066237Z digest=sha256:f62c60529def29a0a9834cf65a8b74628639f831fc1b973377fbfb720185bc29

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.077124Z digest=sha256:30635c000862f0ac8fb782a73803391d57a887b73db64dd26ca75568e9657218

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.080267Z digest=sha256:65f8c6c03dc18c9fa38ef892de9b134f56a4afacbd13e0829768a5562ef156be

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

Resolution
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no resolver link, observed 2026-08-09T05:38:54.083907Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.083907Z digest=sha256:46d9652ce27456614271707940cb0b5aa74d0458e831cc9ee6a6aed7d08f2e84

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.087432Z digest=sha256:af553a8017496a7684d57ab11286b62dca615ebd00e5229798664009a4e62e63

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

Resolution
unresolved
no resolver link, observed 2026-08-09T05:38:54.090955Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.090955Z digest=sha256:53e6ae55e90737cd11ccd3f0242b49f3cb7ea7d4852a31f2f50b742c7e287507

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

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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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.154556Z digest=sha256:4d764496113ca981e171547610e931ea2bc60ae7e3c8c9df3172b060066d3ba5

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.210425Z digest=sha256:df16a14747f9b66a07b3d3e0b4bb112e3fc17ac38de8a3fe175c4f9c26aa493f

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
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.315886Z digest=sha256:6d280a03a8c6f80be6839943943c95ecd7022287efb2d0131621b0b591420686

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.382129Z digest=sha256:d6c5fc1994d17c56a599a79c664b448dc682bd3e23425ac87829bd61b96d897a

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.407175Z digest=sha256:c05169f69ec91021b6e1f3b16b497a889271fc7cc16eb7e18e89e77b5fbbddca

Observation 9c6392e0-6411-438c-8bf2-efb00c3f1f0d · 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 29

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.473048Z digest=sha256:d112be0624307e302d1a63db975e0e269a57aa5a05774e23f4d1a0845334d6ea

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.480386Z digest=sha256:8558a9bf89654c1050bfd29782a5e29d8341b4a9f5601aba89dad904613c03bd

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 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.484525Z digest=sha256:40fa51f5cf411844f28273a38148e297499372885fce9aae86edfe0d5a5c1cc5

Observation b18f7358-9579-4065-bc63-e0c76e6cdaa6 · 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 32

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unresolved
raw_fallback, observed 2026-08-09T05:38:54.934288Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.488028Z digest=sha256:02b31d8cd6b3cae5fe82f5ae115013083217f3a19a5cedd18394f3fe5df83d8e

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

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.491415Z digest=sha256:0beeec41d87f81b0bbe98333cd6cc94aea7f8fe06ec18c555176046e03dcf691

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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unresolved
no resolver link, observed 2026-08-09T05:38:54.495223Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.495223Z digest=sha256:74fa3564f313a4f175e452d6023230c783ea0a4f894244063127988681dac22f

Observation 0fe85288-75dd-4345-b8b2-d51e4bde3f80 · outbound

This paper cites Gaussian processes for machine learning.

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

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.498754Z digest=sha256:a95712d5b27899491200071d9a02f5675b90daeb4a27940fc12b85f4e4128005

Observation b9e3a184-7e78-434a-a4ee-484959ccebad · outbound

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

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.502542Z digest=sha256:05f8f11f309f6b23c961d632aeccf656cdcf94fb08f971643f896b9a520b14be

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

Resolution
metadata mismatch
local_arxiv, observed 2026-08-09T05:38:54.570683Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.505889Z digest=sha256:2da98a96845d147238b204b0819652ada2fe78fc32148d0a2b327e6144375f8b

Observation b65b1175-087b-4774-ad46-c49be2f0c181 · 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 38

Resolution
unresolved
raw_fallback, observed 2026-08-09T05:38:54.694542Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.510159Z digest=sha256:74eff633615948f93b4d23c466eaf3268de17c9048d9031bad497674a9e70891

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.513317Z digest=sha256:b7fd5b3249c65599c1516a05091bc2f2de1aca3bf1bc5d813af87a67744ca653

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

Resolution
unresolved
no resolver link, observed 2026-08-09T05:38:54.516326Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

source=arxiv_source observed=2026-08-09T05:38:54.516326Z digest=sha256:791f8ed8b59103781805e4f2a9d9c36a83c799c5ffefa4aecb4209673022d40f

Observation b55e802d-8154-4345-81c9-05e945a9d06e · outbound

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

No event found in the named queried sources as of 2026-08-12T06:34:41.77262+00:00.

source=arxiv_source observed=2026-08-09T05:38:54.519510Z digest=sha256:f53f86ec431081d2aaa936513c4a5d27d236eeeeed0205bfea9685caff93deda

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.

source=arxiv_source observed=2026-08-09T05:38:54.523058Z digest=sha256:49c2ef3b3bab8ba6567bb16404488673613b5fd3c5949864bd9cb9ff1b52df7d

Pith citing papers

No inbound Pith citation observations are available.