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Paper Citation Record · LEDGER

Multi-Output Gaussian Processes for Graph-Structured Data

As of 9 August 2026, this Paper Citation Record lists 36 of 36 outbound references and 0 inbound Pith citation observations for arXiv:2505.16755.

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

pith.paper-citation-record.v1
2505.16755 v1

Coverage vector

measured 36 of 36 reference resolution

Typed states for the displayed outbound observations.

Source: paper_references, paper_reference_links, observed 2026-08-07T14:59:51.758576Z

measured 36 of 36 standing notices

One-hop event checks from named stored sources.

Source: scholarly_work_events, retraction_status_cache, observed 2026-08-08T06:32:00.761636+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

36 of 36 outbound references displayed

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  • unresolved13
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External citation measurements

No source-named external measurement is stored.

Outbound references

Observation 4b984d42-7579-4965-886f-a7f9f37ed7ae · outbound

This paper cites an unresolved cited work.

Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 1

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Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 2

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Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 3

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Reference 4

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Observation db91ce96-1db8-4177-b595-bf38d8430af5 · outbound

This paper cites Liu, Y .-S.

Multi-Output Gaussian Processes for Graph-Structured Data Liu, Y .-S

Reference 5

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This paper cites Gaussian process optimization with matual information,.

Multi-Output Gaussian Processes for Graph-Structured Data Gaussian process optimization with matual information,

Reference 6

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This paper cites Gaus- sian process nonparametric tensor estimator and its minimax optimality,.

Multi-Output Gaussian Processes for Graph-Structured Data Gaus- sian process nonparametric tensor estimator and its minimax optimality,

Reference 7

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Observation 9f2265e7-b499-4ae6-bd15-ab159742089c · outbound

This paper cites Neal, Bayesian Learning for Neural Networks, Springer, 2012.

Multi-Output Gaussian Processes for Graph-Structured Data Neal, Bayesian Learning for Neural Networks, Springer, 2012

Reference 8

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Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 9

Resolution
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This paper cites an unresolved cited work.

Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 10

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Observation 6dcea718-23ed-46c8-b55b-4272175cc39f · outbound

This paper cites Signal-adapted tight frames on graphs,.

Multi-Output Gaussian Processes for Graph-Structured Data Signal-adapted tight frames on graphs,

Reference 11

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 6e022cb1-1dfb-446e-9e0d-d305c2ab563f · outbound

This paper cites Learning parametric dictio- naries for signals on graphs,.

Multi-Output Gaussian Processes for Graph-Structured Data Learning parametric dictio- naries for signals on graphs,

Reference 12

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 3fe34e20-694c-4a5c-8594-95c67f5a401b · outbound

This paper cites Spatial gaussian process regression with mobile sensor networks,.

Multi-Output Gaussian Processes for Graph-Structured Data Spatial gaussian process regression with mobile sensor networks,

Reference 13

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Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 14

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Observation 33313b28-dbd2-42d2-9824-42cf321b2f67 · outbound

This paper cites Gaussian processes over graphs,.

Multi-Output Gaussian Processes for Graph-Structured Data Gaussian processes over graphs,

Reference 15

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Source-reported events for the cited work

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Observation 7c0a2af7-d39f-4cb5-835b-57a77bc4f6a8 · outbound

This paper cites an unresolved cited work.

Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 16

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Source-reported events for the cited work

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Observation 20abcc68-91e4-4c3a-9227-fd5e43250c82 · outbound

This paper cites Data Reconstruction Coverage Based on Graph Signal Processing for Wireless Sensor Networks,.

Multi-Output Gaussian Processes for Graph-Structured Data Data Reconstruction Coverage Based on Graph Signal Processing for Wireless Sensor Networks,

Reference 17

Resolution
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Observation 82d0f3cc-0898-422d-8a54-6d4a6aca67e8 · outbound

This paper cites A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Rep- resentations for Time-Series on Graphs,.

Multi-Output Gaussian Processes for Graph-Structured Data A Time-Vertex Signal Processing Framework: Scalable Processing and Meaningful Rep- resentations for Time-Series on Graphs,

Reference 18

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 926c4d1e-d507-478d-8e80-2baf6079b808 · outbound

This paper cites Mat ´ern Gaussian processes on graphs,.

Multi-Output Gaussian Processes for Graph-Structured Data Mat ´ern Gaussian processes on graphs,

Reference 19

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation ee2ae768-88a0-48f1-86eb-504aec6a0d1b · outbound

This paper cites Geometric deep learning: going beyond euclidean data,.

Multi-Output Gaussian Processes for Graph-Structured Data Geometric deep learning: going beyond euclidean data,

Reference 20

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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 21

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Source-reported events for the cited work

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Observation 87fed9d0-3be6-4c12-bc54-cba3dce6480f · outbound

This paper cites Deep Convolutional Networks on Graph-Structured Data.

Multi-Output Gaussian Processes for Graph-Structured Data Deep Convolutional Networks on Graph-Structured Data

Reference 22

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This paper cites Gaussian process kernels for pattern discovery and extrapolation,.

Multi-Output Gaussian Processes for Graph-Structured Data Gaussian process kernels for pattern discovery and extrapolation,

Reference 23

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Source-reported events for the cited work

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Observation eb6a3968-1db3-4739-a580-a684819687a6 · outbound

This paper cites an unresolved cited work.

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Reference 24

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Source-reported events for the cited work

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Multi-Output Gaussian Processes for Graph-Structured Data Goovaerts

Reference 25

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Source-reported events for the cited work

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Observation 35f60229-144d-4d63-ac34-72dc487faabe · outbound

This paper cites an unresolved cited work.

Multi-Output Gaussian Processes for Graph-Structured Data Unresolved cited work

Reference 26

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Source-reported events for the cited work

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Observation dbbb04c0-c97f-488b-96cb-79c15e46a75a · outbound

This paper cites Borchani, G.

Multi-Output Gaussian Processes for Graph-Structured Data Borchani, G

Reference 27

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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9c475dfe-3a6d-4f71-b38e-7b4994f70eb0 · outbound

This paper cites Remarks on multi-output Gaussian process regression,.

Multi-Output Gaussian Processes for Graph-Structured Data Remarks on multi-output Gaussian process regression,

Reference 28

Resolution
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation e28335a0-be17-4eff-b2b7-7b2825074214 · outbound

This paper cites an unresolved cited work.

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Reference 29

Resolution
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No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 42f79047-f1ae-4bac-83c7-2be817d93fb9 · outbound

This paper cites Large scale multi-output multi-class classifica- tion using Gaussian processes,.

Multi-Output Gaussian Processes for Graph-Structured Data Large scale multi-output multi-class classifica- tion using Gaussian processes,

Reference 30

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 258fa30d-1e3f-45e0-9b6f-7d617d7def40 · outbound

This paper cites Predicting the output from a complex computer code when fast approximations are available,.

Multi-Output Gaussian Processes for Graph-Structured Data Predicting the output from a complex computer code when fast approximations are available,

Reference 31

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 2b1b0d4c-4227-4392-bf15-e2c85c3fa316 · outbound

This paper cites Matrix formulation of co-kriging,.

Multi-Output Gaussian Processes for Graph-Structured Data Matrix formulation of co-kriging,

Reference 32

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 9dfbb20c-b52f-49cc-8365-9a6147a1456a · outbound

This paper cites Focused multi-task learning in a gaussian process framework,.

Multi-Output Gaussian Processes for Graph-Structured Data Focused multi-task learning in a gaussian process framework,

Reference 33

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 437f6d0d-3aeb-439a-8b9e-b3f53e9b04ec · outbound

This paper cites Gaussian process latent variable model-based multi-output modeling of incomplete data,.

Multi-Output Gaussian Processes for Graph-Structured Data Gaussian process latent variable model-based multi-output modeling of incomplete data,

Reference 34

Resolution
verified fuzzy
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Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 722a7c65-e282-470e-89a0-1145fd270074 · outbound

This paper cites DGP-LVM: Derivative Gaussian process latent variable models.

Multi-Output Gaussian Processes for Graph-Structured Data DGP-LVM: Derivative Gaussian process latent variable models

Reference 35

Resolution
verified exact
local_arxiv, observed 2026-08-07T14:59:51.889658Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

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Observation 09b7c9bd-810d-4503-b59a-0d59c9b2a6a3 · outbound

This paper cites [Online].

Multi-Output Gaussian Processes for Graph-Structured Data [Online]

Reference 36

Resolution
verified fuzzy
raw_fallback, observed 2026-08-07T14:59:52.022816Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-08T06:32:00.761636+00:00.

source=pdf_text observed=2026-08-07T14:59:51.758576Z digest=sha256:cb748bd5541d55b85029a593a87ce8a68d98681f928039e3fa0733692bc53f41

Pith citing papers

No inbound Pith citation observations are available.